tests/testthat/helper-roc-expected.R

In pROC: Display and Analyze ROC Curves

expected.roc <-
list(ndka = list(forward = list(`<` = list(sensitivities = c(1, 
1, 0.97560975609756095, 0.97560975609756095, 0.97560975609756095, 
0.95121951219512191, 0.92682926829268297, 0.90243902439024393, 
0.90243902439024393, 0.90243902439024393, 0.90243902439024393, 
0.90243902439024393, 0.90243902439024393, 0.90243902439024393, 
0.90243902439024393, 0.90243902439024393, 0.90243902439024393, 
0.87804878048780488, 0.87804878048780488, 0.87804878048780488, 
0.87804878048780488, 0.87804878048780488, 0.87804878048780488, 
0.87804878048780488, 0.85365853658536583, 0.82926829268292679, 
0.82926829268292679, 0.82926829268292679, 0.80487804878048785, 
0.80487804878048785, 0.80487804878048785, 0.80487804878048785, 
0.78048780487804881, 0.75609756097560976, 0.75609756097560976, 
0.75609756097560976, 0.75609756097560976, 0.75609756097560976, 
0.73170731707317072, 0.73170731707317072, 0.73170731707317072, 
0.70731707317073167, 0.70731707317073167, 0.70731707317073167, 
0.70731707317073167, 0.70731707317073167, 0.70731707317073167, 
0.70731707317073167, 0.68292682926829273, 0.65853658536585369, 
0.63414634146341464, 0.63414634146341464, 0.6097560975609756, 
0.6097560975609756, 0.6097560975609756, 0.58536585365853655, 
0.58536585365853655, 0.58536585365853655, 0.58536585365853655, 
0.58536585365853655, 0.58536585365853655, 0.56097560975609762, 
0.56097560975609762, 0.53658536585365857, 0.53658536585365857, 
0.53658536585365857, 0.51219512195121952, 0.51219512195121952, 
0.51219512195121952, 0.48780487804878048, 0.46341463414634149, 
0.46341463414634149, 0.43902439024390244, 0.41463414634146339, 
0.41463414634146339, 0.41463414634146339, 0.3902439024390244, 
0.36585365853658536, 0.34146341463414637, 0.34146341463414637, 
0.34146341463414637, 0.34146341463414637, 0.31707317073170732, 
0.31707317073170732, 0.31707317073170732, 0.31707317073170732, 
0.31707317073170732, 0.29268292682926828, 0.26829268292682928, 
0.24390243902439024, 0.21951219512195122, 0.21951219512195122, 
0.21951219512195122, 0.1951219512195122, 0.1951219512195122, 
0.1951219512195122, 0.1951219512195122, 0.17073170731707318, 
0.14634146341463414, 0.12195121951219512, 0.097560975609756101, 
0.097560975609756101, 0.097560975609756101, 0.073170731707317069, 
0.073170731707317069, 0.04878048780487805, 0.04878048780487805, 
0.024390243902439025, 0.024390243902439025, 0), specificities = c(0, 
0.013888888888888888, 0.013888888888888888, 0.027777777777777776, 
0.041666666666666664, 0.041666666666666664, 0.041666666666666664, 
0.041666666666666664, 0.055555555555555552, 0.069444444444444448, 
0.083333333333333329, 0.097222222222222224, 0.1111111111111111, 
0.125, 0.1388888888888889, 0.15277777777777779, 0.16666666666666666, 
0.16666666666666666, 0.18055555555555555, 0.19444444444444445, 
0.20833333333333334, 0.22222222222222221, 0.2361111111111111, 
0.25, 0.25, 0.25, 0.2638888888888889, 0.27777777777777779, 0.27777777777777779, 
0.29166666666666669, 0.31944444444444442, 0.33333333333333331, 
0.33333333333333331, 0.34722222222222221, 0.3611111111111111, 
0.375, 0.3888888888888889, 0.40277777777777779, 0.40277777777777779, 
0.41666666666666669, 0.43055555555555558, 0.43055555555555558, 
0.44444444444444442, 0.45833333333333331, 0.47222222222222221, 
0.4861111111111111, 0.5, 0.51388888888888884, 0.51388888888888884, 
0.51388888888888884, 0.51388888888888884, 0.52777777777777779, 
0.52777777777777779, 0.54166666666666663, 0.55555555555555558, 
0.55555555555555558, 0.56944444444444442, 0.58333333333333337, 
0.59722222222222221, 0.61111111111111116, 0.625, 0.625, 0.63888888888888884, 
0.65277777777777779, 0.66666666666666663, 0.68055555555555558, 
0.68055555555555558, 0.69444444444444442, 0.70833333333333337, 
0.70833333333333337, 0.70833333333333337, 0.72222222222222221, 
0.72222222222222221, 0.72222222222222221, 0.73611111111111116, 
0.75, 0.76388888888888884, 0.76388888888888884, 0.76388888888888884, 
0.77777777777777779, 0.79166666666666663, 0.80555555555555558, 
0.80555555555555558, 0.81944444444444442, 0.83333333333333337, 
0.84722222222222221, 0.86111111111111116, 0.86111111111111116, 
0.86111111111111116, 0.86111111111111116, 0.86111111111111116, 
0.875, 0.88888888888888884, 0.88888888888888884, 0.90277777777777779, 
0.91666666666666663, 0.93055555555555558, 0.93055555555555558, 
0.93055555555555558, 0.93055555555555558, 0.93055555555555558, 
0.94444444444444442, 0.95833333333333337, 0.95833333333333337, 
0.97222222222222221, 0.97222222222222221, 0.98611111111111116, 
0.98611111111111116, 1, 1), thresholds = c(-Inf, 3.4399999999999999, 
4.2400000000000002, 4.8200000000000003, 5.1050000000000004, 5.1850000000000005, 
5.2800000000000002, 5.6850000000000005, 6.0049999999999999, 6.1500000000000004, 
6.2949999999999999, 6.3449999999999998, 6.4649999999999999, 6.5649999999999995, 
6.6899999999999995, 6.9249999999999998, 7.2400000000000002, 7.5250000000000004, 
7.6449999999999996, 7.7050000000000001, 7.8550000000000004, 7.9900000000000002, 
8.0549999999999997, 8.1600000000000001, 8.3049999999999997, 8.4550000000000001, 
8.5350000000000001, 8.7199999999999989, 8.9550000000000001, 9.2249999999999996, 
9.4550000000000001, 9.5199999999999996, 9.6000000000000014, 9.6649999999999991, 
9.75, 9.8049999999999997, 9.8200000000000003, 9.8399999999999999, 
9.8999999999999986, 10.140000000000001, 10.365, 10.41, 10.465, 
10.530000000000001, 10.574999999999999, 10.715, 10.949999999999999, 
11.08, 11.344999999999999, 11.635, 11.675000000000001, 11.699999999999999, 
11.725000000000001, 11.850000000000001, 12.095000000000001, 12.375, 
12.550000000000001, 12.58, 12.629999999999999, 12.690000000000001, 
12.73, 12.775, 12.850000000000001, 12.940000000000001, 13.050000000000001, 
13.16, 13.305, 13.43, 13.504999999999999, 13.615, 13.77, 13.954999999999998, 
14.149999999999999, 14.300000000000001, 14.455, 15.055, 15.715, 
15.925000000000001, 16.035, 16.66, 17.255000000000003, 17.350000000000001, 
17.629999999999999, 18.035, 18.835000000000001, 20.105, 20.984999999999999, 
21.350000000000001, 21.524999999999999, 21.75, 22.100000000000001, 
22.350000000000001, 22.530000000000001, 23.604999999999997, 25.884999999999998, 
27.84, 30.43, 32.390000000000001, 33.234999999999999, 37.200000000000003, 
40.885000000000005, 44.129999999999995, 47.219999999999999, 48.774999999999999, 
52.379999999999995, 56.825000000000003, 65.699999999999989, 76.435000000000002, 
249.745, Inf), auc = 0.61195799457994582, smooth = list(binormal = list(
    sensitivities = c(1, 1, 0.88888888888888884, 0.77777777777777768, 
    0.66666666666666663, 0.55555555555555558, 0.44444444444444442, 
    0.33333333333333337, 0.22222222222222213, 0.11111111111111113, 
    0, 0), specificities = c(0, 0, 0.16661242811406332, 0.32116061079093378, 
    0.46181595199875469, 0.58913400780047731, 0.70322453134188379, 
    0.80368984329727589, 0.88942408284741548, 0.95788508192900568, 
    1, 1)), density = list(sensitivities = c(1, 1, 0.99074845171639281, 
0.024403220732815607, 0.024403220732815607, 0.024403220732815485, 
0.024403220732815485, 0.024403220732815485, 0.024403220732815485, 
0.024403220732815485, 0.024403220732814385, 0), specificities = c(0, 
0, 0.015486341483142763, 0.99999919021311823, 0.999999999999999, 
0.99999999999999911, 0.99999999999999911, 0.99999999999999911, 
0.99999999999999911, 0.99999999999999911, 0.99999999999999967, 
1)), fitdistr = list(sensitivities = c(1, 1, 0.65584212882921034, 
0.30384953230663891, 0.092280740020347723, 0.017547821937713974, 
0.002034152640618334, 0.00014155029521177825, 5.8607227564363664e-06, 
1.436222167860087e-07, 2.0599719540113273e-09, 0), specificities = c(0, 
0, 0.96173121101341241, 0.99999999725370281, 1, 1, 1, 1, 1, 1, 
1, 1)), logcondens = list(sensitivities = c(1, 1, 0.90363300708873062, 
0.8511985619616218, 0.798839025851667, 0.74481915325965597, 0.68373593822521772, 
0.61228666217682415, 0.5242346453447293, 0.40443156260979363, 
0, 0), specificities = c(0, 0, 0.11111111111111116, 0.22222222222222232, 
0.33333333333333337, 0.44444444444444442, 0.55555555555555558, 
0.66666666666666674, 0.77777777777777779, 0.88888888888888884, 
1, 1)), logcondens.smooth = list(sensitivities = c(1, 1, 0.62758133842790265, 
0.61866421759711965, 0.6094436550718132, 0.59922235170292426, 
0.5866469294291885, 0.57030995190982403, 0.54715707821662118, 
0.50821961541929606, 0, 0), specificities = c(0, 0, 0.11111111111111116, 
0.22222222222222232, 0.33333333333333337, 0.44444444444444442, 
0.55555555555555558, 0.66666666666666674, 0.77777777777777779, 
0.88888888888888884, 1, 1)))), `>` = list(sensitivities = c(1, 
0.97560975609756095, 0.97560975609756095, 0.95121951219512191, 
0.95121951219512191, 0.92682926829268297, 0.92682926829268297, 
0.90243902439024393, 0.90243902439024393, 0.90243902439024393, 
0.87804878048780488, 0.85365853658536583, 0.82926829268292679, 
0.80487804878048785, 0.80487804878048785, 0.80487804878048785, 
0.80487804878048785, 0.78048780487804881, 0.78048780487804881, 
0.78048780487804881, 0.75609756097560976, 0.73170731707317072, 
0.70731707317073167, 0.68292682926829273, 0.68292682926829273, 
0.68292682926829273, 0.68292682926829273, 0.68292682926829273, 
0.65853658536585369, 0.65853658536585369, 0.65853658536585369, 
0.65853658536585369, 0.63414634146341464, 0.6097560975609756, 
0.58536585365853655, 0.58536585365853655, 0.58536585365853655, 
0.56097560975609762, 0.53658536585365857, 0.53658536585365857, 
0.51219512195121952, 0.48780487804878048, 0.48780487804878048, 
0.48780487804878048, 0.46341463414634149, 0.46341463414634149, 
0.46341463414634149, 0.43902439024390244, 0.43902439024390244, 
0.41463414634146339, 0.41463414634146339, 0.41463414634146339, 
0.41463414634146339, 0.41463414634146339, 0.41463414634146339, 
0.3902439024390244, 0.3902439024390244, 0.3902439024390244, 0.36585365853658536, 
0.36585365853658536, 0.34146341463414637, 0.31707317073170732, 
0.29268292682926828, 0.29268292682926828, 0.29268292682926828, 
0.29268292682926828, 0.29268292682926828, 0.29268292682926828, 
0.29268292682926828, 0.26829268292682928, 0.26829268292682928, 
0.26829268292682928, 0.24390243902439024, 0.24390243902439024, 
0.24390243902439024, 0.24390243902439024, 0.24390243902439024, 
0.21951219512195122, 0.1951219512195122, 0.1951219512195122, 
0.1951219512195122, 0.1951219512195122, 0.17073170731707318, 
0.17073170731707318, 0.17073170731707318, 0.14634146341463414, 
0.12195121951219512, 0.12195121951219512, 0.12195121951219512, 
0.12195121951219512, 0.12195121951219512, 0.12195121951219512, 
0.12195121951219512, 0.097560975609756101, 0.097560975609756101, 
0.097560975609756101, 0.097560975609756101, 0.097560975609756101, 
0.097560975609756101, 0.097560975609756101, 0.097560975609756101, 
0.097560975609756101, 0.097560975609756101, 0.073170731707317069, 
0.04878048780487805, 0.024390243902439025, 0.024390243902439025, 
0.024390243902439025, 0, 0), specificities = c(0, 0, 0.013888888888888888, 
0.013888888888888888, 0.027777777777777776, 0.027777777777777776, 
0.041666666666666664, 0.041666666666666664, 0.055555555555555552, 
0.069444444444444448, 0.069444444444444448, 0.069444444444444448, 
0.069444444444444448, 0.069444444444444448, 0.083333333333333329, 
0.097222222222222224, 0.1111111111111111, 0.1111111111111111, 
0.125, 0.1388888888888889, 0.1388888888888889, 0.1388888888888889, 
0.1388888888888889, 0.1388888888888889, 0.15277777777777779, 
0.16666666666666666, 0.18055555555555555, 0.19444444444444445, 
0.19444444444444445, 0.20833333333333334, 0.22222222222222221, 
0.2361111111111111, 0.2361111111111111, 0.2361111111111111, 0.25, 
0.2638888888888889, 0.27777777777777779, 0.27777777777777779, 
0.27777777777777779, 0.29166666666666669, 0.29166666666666669, 
0.29166666666666669, 0.30555555555555558, 0.31944444444444442, 
0.31944444444444442, 0.33333333333333331, 0.34722222222222221, 
0.3611111111111111, 0.375, 0.375, 0.3888888888888889, 0.40277777777777779, 
0.41666666666666669, 0.43055555555555558, 0.44444444444444442, 
0.44444444444444442, 0.45833333333333331, 0.47222222222222221, 
0.47222222222222221, 0.4861111111111111, 0.4861111111111111, 
0.4861111111111111, 0.4861111111111111, 0.5, 0.51388888888888884, 
0.52777777777777779, 0.54166666666666663, 0.55555555555555558, 
0.56944444444444442, 0.56944444444444442, 0.58333333333333337, 
0.59722222222222221, 0.59722222222222221, 0.61111111111111116, 
0.625, 0.63888888888888884, 0.65277777777777779, 0.66666666666666663, 
0.66666666666666663, 0.68055555555555558, 0.70833333333333337, 
0.72222222222222221, 0.72222222222222221, 0.73611111111111116, 
0.75, 0.75, 0.75, 0.76388888888888884, 0.77777777777777779, 0.79166666666666663, 
0.80555555555555558, 0.81944444444444442, 0.83333333333333337, 
0.83333333333333337, 0.84722222222222221, 0.86111111111111116, 
0.875, 0.88888888888888884, 0.90277777777777779, 0.91666666666666663, 
0.93055555555555558, 0.94444444444444442, 0.95833333333333337, 
0.95833333333333337, 0.95833333333333337, 0.95833333333333337, 
0.97222222222222221, 0.98611111111111116, 0.98611111111111116, 
1), thresholds = c(Inf, 249.745, 76.435000000000002, 65.699999999999989, 
56.825000000000003, 52.379999999999995, 48.774999999999999, 47.219999999999999, 
44.129999999999995, 40.885000000000005, 37.200000000000003, 33.234999999999999, 
32.390000000000001, 30.43, 27.84, 25.884999999999998, 23.604999999999997, 
22.530000000000001, 22.350000000000001, 22.100000000000001, 21.75, 
21.524999999999999, 21.350000000000001, 20.984999999999999, 20.105, 
18.835000000000001, 18.035, 17.629999999999999, 17.350000000000001, 
17.255000000000003, 16.66, 16.035, 15.925000000000001, 15.715, 
15.055, 14.455, 14.300000000000001, 14.149999999999999, 13.954999999999998, 
13.77, 13.615, 13.504999999999999, 13.43, 13.305, 13.16, 13.050000000000001, 
12.940000000000001, 12.850000000000001, 12.775, 12.73, 12.690000000000001, 
12.629999999999999, 12.58, 12.550000000000001, 12.375, 12.095000000000001, 
11.850000000000001, 11.725000000000001, 11.699999999999999, 11.675000000000001, 
11.635, 11.344999999999999, 11.08, 10.949999999999999, 10.715, 
10.574999999999999, 10.530000000000001, 10.465, 10.41, 10.365, 
10.140000000000001, 9.8999999999999986, 9.8399999999999999, 9.8200000000000003, 
9.8049999999999997, 9.75, 9.6649999999999991, 9.6000000000000014, 
9.5199999999999996, 9.4550000000000001, 9.2249999999999996, 8.9550000000000001, 
8.7199999999999989, 8.5350000000000001, 8.4550000000000001, 8.3049999999999997, 
8.1600000000000001, 8.0549999999999997, 7.9900000000000002, 7.8550000000000004, 
7.7050000000000001, 7.6449999999999996, 7.5250000000000004, 7.2400000000000002, 
6.9249999999999998, 6.6899999999999995, 6.5649999999999995, 6.4649999999999999, 
6.3449999999999998, 6.2949999999999999, 6.1500000000000004, 6.0049999999999999, 
5.6850000000000005, 5.2800000000000002, 5.1850000000000005, 5.1050000000000004, 
4.8200000000000003, 4.2400000000000002, 3.4399999999999999, -Inf
), auc = 0.38804200542005424, smooth = list(binormal = list(sensitivities = c(1, 
1, 0.88888888888888884, 0.77777777777777768, 0.66666666666666663, 
0.55555555555555558, 0.44444444444444442, 0.33333333333333337, 
0.22222222222222213, 0.11111111111111113, 0, 0), specificities = c(0, 
0, 0.042114918070994309, 0.11057591715258469, 0.19631015670272414, 
0.29677546865811616, 0.41086599219952258, 0.53818404800124531, 
0.67883938920906639, 0.83338757188593671, 1, 1)), density = list(
    sensitivities = c(1, 1, 0.97559677926718558, 0.97559677926718458, 
    0.97559677926718458, 0.97559677926718458, 0.97559677926718458, 
    0.97559677926718458, 0.97559677926718458, 0.97559677926718458, 
    0.0092515482836072627, 0), specificities = c(0, 0, 3.4524729812651632e-16, 
    9.1226915172916031e-16, 9.1226915172916031e-16, 9.2798538864975309e-16, 
    9.2798538864975309e-16, 9.2798538864975309e-16, 1.0359597490083634e-15, 
    8.0978688191541923e-07, 0.98451365851685735, 1)), fitdistr = list(
    sensitivities = c(1, 1, 0.99999999794002792, 0.99999985637778321, 
    0.99999413927724357, 0.9998584497047881, 0.99796584735938154, 
    0.98245217806228602, 0.90771925997965219, 0.69615046769336109, 
    0.34415787117078966, 0), specificities = c(0, 0, 3.9920836420121644e-220, 
    8.9642454244700092e-173, 3.6302765381684218e-131, 2.6514139939139415e-95, 
    3.4924262502075261e-65, 8.2963832904754802e-41, 3.5543667446643779e-22, 
    2.7462971753675956e-09, 0.038268788986587518, 1)), logcondens = list(
    sensitivities = c(1, 1, 0.90363300708873062, 0.8511985619616218, 
    0.798839025851667, 0.74481915325965597, 0.68373593822521772, 
    0.61228666217682415, 0.5242346453447293, 0.40443156260979363, 
    0, 0), specificities = c(0, 0, 0.11111111111111116, 0.22222222222222232, 
    0.33333333333333337, 0.44444444444444442, 0.55555555555555558, 
    0.66666666666666674, 0.77777777777777779, 0.88888888888888884, 
    1, 1)), logcondens.smooth = list(sensitivities = c(1, 1, 
0.62758133842790265, 0.61866421759711965, 0.6094436550718132, 
0.59922235170292426, 0.5866469294291885, 0.57030995190982403, 
0.54715707821662118, 0.50821961541929606, 0, 0), specificities = c(0, 
0, 0.11111111111111116, 0.22222222222222232, 0.33333333333333337, 
0.44444444444444442, 0.55555555555555558, 0.66666666666666674, 
0.77777777777777779, 0.88888888888888884, 1, 1))))), reversed = list(
    `<` = list(sensitivities = c(1, 0.98611111111111116, 0.98611111111111116, 
    0.97222222222222221, 0.95833333333333337, 0.95833333333333337, 
    0.95833333333333337, 0.95833333333333337, 0.94444444444444442, 
    0.93055555555555558, 0.91666666666666663, 0.90277777777777779, 
    0.88888888888888884, 0.875, 0.86111111111111116, 0.84722222222222221, 
    0.83333333333333337, 0.83333333333333337, 0.81944444444444442, 
    0.80555555555555558, 0.79166666666666663, 0.77777777777777779, 
    0.76388888888888884, 0.75, 0.75, 0.75, 0.73611111111111116, 
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    1), thresholds = c(-Inf, 3.4399999999999999, 4.2400000000000002, 
    4.8200000000000003, 5.1050000000000004, 5.1850000000000005, 
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    40.885000000000005, 44.129999999999995, 47.219999999999999, 
    48.774999999999999, 52.379999999999995, 56.825000000000003, 
    65.699999999999989, 76.435000000000002, 249.745, Inf), auc = 0.38804200542005424, 
        smooth = list(binormal = list(sensitivities = c(1, 1, 
        0.88888888888888884, 0.77777777777777768, 0.66666666666666663, 
        0.55555555555555558, 0.44444444444444442, 0.33333333333333337, 
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        0.63000483317461498, 0.76807086794978208, 1, 1)), density = list(
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            9.2798538864975309e-16, 9.1226915172916031e-16, 9.1226915172916031e-16, 
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            1)), fitdistr = list(sensitivities = c(1, 1, 0.038268788986587518, 
        2.7462971753675956e-09, 3.5543667446643779e-22, 8.2963832904754802e-41, 
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            0.90771925997965219, 0.98245217806228602, 0.99796584735938154, 
            0.9998584497047881, 0.99999413927724357, 0.99999985637778321, 
            0.99999999794002792, 1)), logcondens = list(sensitivities = c(1, 
        1, 0.85778454966569506, 0.62179078174318914, 0.41603723085109146, 
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        0, 0.11111111111111116, 0.22222222222222232, 0.33333333333333337, 
        0.44444444444444442, 0.55555555555555558, 0.66666666666666674, 
        0.77777777777777779, 0.88888888888888884, 1, 1)), logcondens.smooth = list(
            sensitivities = c(1, 1, 0.72658680070168447, 0.62119107780976202, 
            0.49446346037741784, 0.35806353231687915, 0.232023673461772, 
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            0.55555555555555558, 0.66666666666666674, 0.77777777777777779, 
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    249.745, 76.435000000000002, 65.699999999999989, 56.825000000000003, 
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    5.1850000000000005, 5.1050000000000004, 4.8200000000000003, 
    4.2400000000000002, 3.4399999999999999, -Inf), auc = 0.61195799457994582, 
        smooth = list(binormal = list(sensitivities = c(1, 1, 
        0.88888888888888884, 0.77777777777777768, 0.66666666666666663, 
        0.55555555555555558, 0.44444444444444442, 0.33333333333333337, 
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        0, 0.23192913205021823, 0.36999516682538541, 0.48469072971684507, 
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        0.8442521283760317, 0.92113255915126591, 1, 1)), density = list(
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            0.99999999999999911, 0.99999999999999911, 0.99999999999999911, 
            0.99999999999999911, 0.999999999999999, 0.99999919021311823, 
            0.015486341483142763, 0), specificities = c(0, 0, 
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        1, 1, 1, 1, 1, 0.99999999725370281, 0.96173121101341241, 
        0), specificities = c(0, 0, 2.0599719540113273e-09, 1.436222167860087e-07, 
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        1, 0.85778454966569506, 0.62179078174318914, 0.41603723085109146, 
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        0, 0.11111111111111116, 0.22222222222222232, 0.33333333333333337, 
        0.44444444444444442, 0.55555555555555558, 0.66666666666666674, 
        0.77777777777777779, 0.88888888888888884, 1, 1)), logcondens.smooth = list(
            sensitivities = c(1, 1, 0.72658680070168447, 0.62119107780976202, 
            0.49446346037741784, 0.35806353231687915, 0.232023673461772, 
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            0.55555555555555558, 0.66666666666666674, 0.77777777777777779, 
            0.88888888888888884, 1, 1)))))), wfns = list(forward = list(
    `<` = list(sensitivities = c(1, 0.95121951219512191, 0.65853658536585369, 
    0.63414634146341464, 0.43902439024390244, 0), specificities = c(0, 
    0.51388888888888884, 0.79166666666666663, 0.83333333333333337, 
    0.94444444444444442, 1), thresholds = c(-Inf, 1.5, 2.5, 3.5, 
    4.5, Inf), auc = 0.82367886178861793, smooth = list(binormal = list(
        sensitivities = c(1, 1, 0.88888888888888884, 0.77777777777777768, 
        0.66666666666666663, 0.55555555555555558, 0.44444444444444442, 
        0.33333333333333337, 0.22222222222222213, 0.11111111111111113, 
        0, 0), specificities = c(0, 0, 0.62533312733387414, 0.7545881594190047, 
        0.83138558305192944, 0.8840526000127753, 0.92247694842983718, 
        0.9513179178044695, 0.97309882220458377, 0.98921642370297957, 
        1, 1)))), `>` = list(sensitivities = c(1, 0.56097560975609762, 
    0.36585365853658536, 0.34146341463414637, 0.04878048780487805, 
    0), specificities = c(0, 0.055555555555555552, 0.16666666666666666, 
    0.20833333333333334, 0.4861111111111111, 1), thresholds = c(Inf, 
    4.5, 3.5, 2.5, 1.5, -Inf), auc = 0.17632113821138212, smooth = list(
        binormal = list(sensitivities = c(1, 1, 0.88888888888888884, 
        0.77777777777777768, 0.66666666666666663, 0.55555555555555558, 
        0.44444444444444442, 0.33333333333333337, 0.22222222222222213, 
        0.11111111111111113, 0, 0), specificities = c(0, 0, 0.010783576297020432, 
        0.026901177795416224, 0.048682082195530475, 0.077523051570162843, 
        0.11594739998722474, 0.16861441694807056, 0.24541184058099536, 
        0.37466687266612586, 1, 1))))), reversed = list(`<` = list(
    sensitivities = c(1, 0.4861111111111111, 0.20833333333333334, 
    0.16666666666666666, 0.055555555555555552, 0), specificities = c(0, 
    0.04878048780487805, 0.34146341463414637, 0.36585365853658536, 
    0.56097560975609762, 1), thresholds = c(-Inf, 1.5, 2.5, 3.5, 
    4.5, Inf), auc = 0.17632113821138212, smooth = list(binormal = list(
        sensitivities = c(1, 1, 0.88888888888888884, 0.77777777777777768, 
        0.66666666666666663, 0.55555555555555558, 0.44444444444444442, 
        0.33333333333333337, 0.22222222222222213, 0.11111111111111113, 
        0, 0), specificities = c(0, 0, 0.0013816610498169654, 
        0.0069756572121715049, 0.019364477973144105, 0.042177720917290107, 
        0.080989338145638884, 0.14517642542680345, 0.25274117065129986, 
        0.44769221428129474, 1, 1)))), `>` = list(sensitivities = c(1, 
0.94444444444444442, 0.83333333333333337, 0.79166666666666663, 
0.51388888888888884, 0), specificities = c(0, 0.43902439024390244, 
0.63414634146341464, 0.65853658536585369, 0.95121951219512191, 
1), thresholds = c(Inf, 4.5, 3.5, 2.5, 1.5, -Inf), auc = 0.82367886178861782, 
    smooth = list(binormal = list(sensitivities = c(1, 1, 0.88888888888888884, 
    0.77777777777777768, 0.66666666666666663, 0.55555555555555558, 
    0.44444444444444442, 0.33333333333333337, 0.22222222222222213, 
    0.11111111111111113, 0, 0), specificities = c(0, 0, 0.55230778571870565, 
    0.74725882934870058, 0.85482357457319669, 0.9190106618543612, 
    0.95782227908270989, 0.98063552202685589, 0.99302434278782847, 
    0.99861833895018304, 1, 1)))))), s100b = list(forward = list(
    `<` = list(sensitivities = c(1, 0.97560975609756095, 0.97560975609756095, 
    0.97560975609756095, 0.97560975609756095, 0.90243902439024393, 
    0.87804878048780488, 0.82926829268292679, 0.78048780487804881, 
    0.75609756097560976, 0.73170731707317072, 0.68292682926829273, 
    0.65853658536585369, 0.65853658536585369, 0.63414634146341464, 
    0.63414634146341464, 0.63414634146341464, 0.63414634146341464, 
    0.6097560975609756, 0.58536585365853655, 0.58536585365853655, 
    0.56097560975609762, 0.53658536585365857, 0.51219512195121952, 
    0.51219512195121952, 0.48780487804878048, 0.46341463414634149, 
    0.43902439024390244, 0.43902439024390244, 0.41463414634146339, 
    0.41463414634146339, 0.3902439024390244, 0.3902439024390244, 
    0.34146341463414637, 0.34146341463414637, 0.34146341463414637, 
    0.34146341463414637, 0.31707317073170732, 0.29268292682926828, 
    0.29268292682926828, 0.26829268292682928, 0.24390243902439024, 
    0.21951219512195122, 0.1951219512195122, 0.14634146341463414, 
    0.12195121951219512, 0.097560975609756101, 0.073170731707317069, 
    0.04878048780487805, 0.024390243902439025, 0), specificities = c(0, 
    0, 0.069444444444444448, 0.1111111111111111, 0.1388888888888889, 
    0.22222222222222221, 0.30555555555555558, 0.3888888888888889, 
    0.4861111111111111, 0.54166666666666663, 0.54166666666666663, 
    0.58333333333333337, 0.63888888888888884, 0.69444444444444442, 
    0.73611111111111116, 0.76388888888888884, 0.77777777777777779, 
    0.80555555555555558, 0.80555555555555558, 0.80555555555555558, 
    0.81944444444444442, 0.81944444444444442, 0.81944444444444442, 
    0.81944444444444442, 0.83333333333333337, 0.83333333333333337, 
    0.84722222222222221, 0.86111111111111116, 0.875, 0.875, 0.88888888888888884, 
    0.88888888888888884, 0.90277777777777779, 0.90277777777777779, 
    0.91666666666666663, 0.93055555555555558, 0.95833333333333337, 
    0.97222222222222221, 0.97222222222222221, 1, 1, 1, 1, 1, 
    1, 1, 1, 1, 1, 1, 1), thresholds = c(-Inf, 0.035000000000000003, 
    0.044999999999999998, 0.055, 0.065000000000000002, 0.075000000000000011, 
    0.084999999999999992, 0.095000000000000001, 0.10500000000000001, 
    0.11499999999999999, 0.125, 0.13500000000000001, 0.14500000000000002, 
    0.155, 0.16500000000000001, 0.17499999999999999, 0.185, 0.20500000000000002, 
    0.22500000000000001, 0.23499999999999999, 0.245, 0.255, 0.26500000000000001, 
    0.27500000000000002, 0.29000000000000004, 0.31, 0.32500000000000001, 
    0.33500000000000002, 0.34499999999999997, 0.36499999999999999, 
    0.39500000000000002, 0.41999999999999998, 0.435, 0.44500000000000001, 
    0.45500000000000002, 0.46499999999999997, 0.47499999999999998, 
    0.48499999999999999, 0.495, 0.51000000000000001, 0.54000000000000004, 
    0.57000000000000006, 0.6399999999999999, 0.70499999999999996, 
    0.72499999999999998, 0.755, 0.79499999999999993, 0.83999999999999997, 
    0.90999999999999992, 1.5149999999999999, Inf), auc = 0.73136856368563685, 
        smooth = list(binormal = list(sensitivities = c(1, 1, 
        0.88888888888888884, 0.77777777777777768, 0.66666666666666663, 
        0.55555555555555558, 0.44444444444444442, 0.33333333333333337, 
        0.22222222222222213, 0.11111111111111113, 0, 0), specificities = c(0, 
        0, 0.31926034068390191, 0.53332668430381991, 0.68758579956209709, 
        0.80017645978030316, 0.88127986696010441, 0.9375641008236737, 
        0.97381171895978846, 0.99367420371972059, 1, 1)), density = list(
            sensitivities = c(1, 1, 0.99931926332046905, 0.464810600933454, 
            0.22917666069447112, 0.09005239526766956, 0.017555089627706303, 
            0.017490235777182776, 0.017490235777181288, 0.017490228541216186, 
            0.00043674621134013675, 0), specificities = c(0, 
            0, 0.0012607813351102808, 0.8750672775523769, 0.99610977939383138, 
            0.99999999998884759, 1, 1, 1, 1, 1, 1)), fitdistr = list(
            sensitivities = c(1, 1, 0.83511403670197726, 0.58446982128433378, 
            0.3223722368816308, 0.13383389526947279, 0.040536895253957712, 
            0.0087778814778924647, 0.0013408834167663738, 0.00014287557463888575, 
            1.0119933123736651e-05, 0), specificities = c(0, 
            0, 0.42469571321058891, 0.96688511000396316, 0.99990406546220234, 
            0.9999999867074495, 0.99999999999991218, 1, 1, 1, 
            1, 1)), logcondens = list(sensitivities = c(1, 1, 
        0.96925785071341375, 0.9299795293124361, 0.87933626192559511, 
        0.82287867390211533, 0.76057870800949001, 0.68785049271852017, 
        0.59811207367258978, 0.48211757900052843, 0, 0), specificities = c(0, 
        0, 0.11111111111111116, 0.22222222222222232, 0.33333333333333337, 
        0.44444444444444442, 0.55555555555555558, 0.66666666666666674, 
        0.77777777777777779, 0.88888888888888884, 1, 1)), logcondens.smooth = list(
            sensitivities = c(1, 1, 0.84177191214496794, 0.82344092400426538, 
            0.80126261909933771, 0.77348704817668512, 0.73877220209616368, 
            0.69240897243333099, 0.62599194142499259, 0.52494563940985528, 
            0, 0), specificities = c(0, 0, 0.11111111111111116, 
            0.22222222222222232, 0.33333333333333337, 0.44444444444444442, 
            0.55555555555555558, 0.66666666666666674, 0.77777777777777779, 
            0.88888888888888884, 1, 1)))), `>` = list(sensitivities = c(1, 
    0.97560975609756095, 0.95121951219512191, 0.92682926829268297, 
    0.90243902439024393, 0.87804878048780488, 0.85365853658536583, 
    0.80487804878048785, 0.78048780487804881, 0.75609756097560976, 
    0.73170731707317072, 0.70731707317073167, 0.70731707317073167, 
    0.68292682926829273, 0.65853658536585369, 0.65853658536585369, 
    0.65853658536585369, 0.65853658536585369, 0.6097560975609756, 
    0.6097560975609756, 0.58536585365853655, 0.58536585365853655, 
    0.56097560975609762, 0.56097560975609762, 0.53658536585365857, 
    0.51219512195121952, 0.48780487804878048, 0.48780487804878048, 
    0.46341463414634149, 0.43902439024390244, 0.41463414634146339, 
    0.41463414634146339, 0.3902439024390244, 0.36585365853658536, 
    0.36585365853658536, 0.36585365853658536, 0.36585365853658536, 
    0.34146341463414637, 0.34146341463414637, 0.31707317073170732, 
    0.26829268292682928, 0.24390243902439024, 0.21951219512195122, 
    0.17073170731707318, 0.12195121951219512, 0.097560975609756101, 
    0.024390243902439025, 0.024390243902439025, 0.024390243902439025, 
    0.024390243902439025, 0), specificities = c(0, 0, 0, 0, 0, 
    0, 0, 0, 0, 0, 0, 0, 0.027777777777777776, 0.027777777777777776, 
    0.041666666666666664, 0.069444444444444448, 0.083333333333333329, 
    0.097222222222222224, 0.097222222222222224, 0.1111111111111111, 
    0.1111111111111111, 0.125, 0.125, 0.1388888888888889, 0.15277777777777779, 
    0.16666666666666666, 0.16666666666666666, 0.18055555555555555, 
    0.18055555555555555, 0.18055555555555555, 0.18055555555555555, 
    0.19444444444444445, 0.19444444444444445, 0.19444444444444445, 
    0.22222222222222221, 0.2361111111111111, 0.2638888888888889, 
    0.30555555555555558, 0.3611111111111111, 0.41666666666666669, 
    0.45833333333333331, 0.45833333333333331, 0.51388888888888884, 
    0.61111111111111116, 0.69444444444444442, 0.77777777777777779, 
    0.86111111111111116, 0.88888888888888884, 0.93055555555555558, 
    1, 1), thresholds = c(Inf, 1.5149999999999999, 0.90999999999999992, 
    0.83999999999999997, 0.79499999999999993, 0.755, 0.72499999999999998, 
    0.70499999999999996, 0.6399999999999999, 0.57000000000000006, 
    0.54000000000000004, 0.51000000000000001, 0.495, 0.48499999999999999, 
    0.47499999999999998, 0.46499999999999997, 0.45500000000000002, 
    0.44500000000000001, 0.435, 0.41999999999999998, 0.39500000000000002, 
    0.36499999999999999, 0.34499999999999997, 0.33500000000000002, 
    0.32500000000000001, 0.31, 0.29000000000000004, 0.27500000000000002, 
    0.26500000000000001, 0.255, 0.245, 0.23499999999999999, 0.22500000000000001, 
    0.20500000000000002, 0.185, 0.17499999999999999, 0.16500000000000001, 
    0.155, 0.14500000000000002, 0.13500000000000001, 0.125, 0.11499999999999999, 
    0.10500000000000001, 0.095000000000000001, 0.084999999999999992, 
    0.075000000000000011, 0.065000000000000002, 0.055, 0.044999999999999998, 
    0.035000000000000003, -Inf), auc = 0.26863143631436315, smooth = list(
        binormal = list(sensitivities = c(1, 1, 0.88888888888888884, 
        0.77777777777777768, 0.66666666666666663, 0.55555555555555558, 
        0.44444444444444442, 0.33333333333333337, 0.22222222222222213, 
        0.11111111111111113, 0, 0), specificities = c(0, 0, 0.0063257962802793768, 
        0.02618828104021155, 0.062435899176326318, 0.11872013303989556, 
        0.19982354021969684, 0.31241420043790291, 0.46667331569618037, 
        0.68073965931609826, 1, 1)), density = list(sensitivities = c(1, 
        1, 0.99956325378865984, 0.98250977145878382, 0.98250976422281866, 
        0.98250976422281722, 0.98244491037229364, 0.90994760473233038, 
        0.77082333930552882, 0.53518939906654595, 0.00068073667953089849, 
        0), specificities = c(0, 0, 3.690663638556004e-17, 3.690663638556004e-17, 
        3.690663638556004e-17, 3.8450687873718744e-17, 8.4026002997308378e-17, 
        1.1152374486878449e-11, 0.0038902206061686736, 0.12493272244762309, 
        0.99873921866488968, 1)), fitdistr = list(sensitivities = c(1, 
        1, 0.99998988006687617, 0.99985712442536112, 0.99865911658323359, 
        0.99122211852210751, 0.95946310474604235, 0.86616610473052713, 
        0.67762776311836914, 0.41553017871566622, 0.16488596329802269, 
        0), specificities = c(0, 0, 1.0236375083230024e-47, 2.9906095000627991e-37, 
        4.1678530082321198e-28, 2.7707940894835804e-20, 8.7868943140878936e-14, 
        1.3292550660413001e-08, 9.5934537797792092e-05, 0.033114889996037018, 
        0.57530428678941115, 1)), logcondens = list(sensitivities = c(1, 
        1, 0.96925785071341375, 0.9299795293124361, 0.87933626192559511, 
        0.82287867390211533, 0.76057870800949001, 0.68785049271852017, 
        0.59811207367258978, 0.48211757900052843, 0, 0), specificities = c(0, 
        0, 0.11111111111111116, 0.22222222222222232, 0.33333333333333337, 
        0.44444444444444442, 0.55555555555555558, 0.66666666666666674, 
        0.77777777777777779, 0.88888888888888884, 1, 1)), logcondens.smooth = list(
            sensitivities = c(1, 1, 0.84177191214496794, 0.82344092400426538, 
            0.80126261909933771, 0.77348704817668512, 0.73877220209616368, 
            0.69240897243333099, 0.62599194142499259, 0.52494563940985528, 
            0, 0), specificities = c(0, 0, 0.11111111111111116, 
            0.22222222222222232, 0.33333333333333337, 0.44444444444444442, 
            0.55555555555555558, 0.66666666666666674, 0.77777777777777779, 
            0.88888888888888884, 1, 1))))), reversed = list(`<` = list(
    sensitivities = c(1, 1, 0.93055555555555558, 0.88888888888888884, 
    0.86111111111111116, 0.77777777777777779, 0.69444444444444442, 
    0.61111111111111116, 0.51388888888888884, 0.45833333333333331, 
    0.45833333333333331, 0.41666666666666669, 0.3611111111111111, 
    0.30555555555555558, 0.2638888888888889, 0.2361111111111111, 
    0.22222222222222221, 0.19444444444444445, 0.19444444444444445, 
    0.19444444444444445, 0.18055555555555555, 0.18055555555555555, 
    0.18055555555555555, 0.18055555555555555, 0.16666666666666666, 
    0.16666666666666666, 0.15277777777777779, 0.1388888888888889, 
    0.125, 0.125, 0.1111111111111111, 0.1111111111111111, 0.097222222222222224, 
    0.097222222222222224, 0.083333333333333329, 0.069444444444444448, 
    0.041666666666666664, 0.027777777777777776, 0.027777777777777776, 
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), specificities = c(0, 
    0.024390243902439025, 0.024390243902439025, 0.024390243902439025, 
    0.024390243902439025, 0.097560975609756101, 0.12195121951219512, 
    0.17073170731707318, 0.21951219512195122, 0.24390243902439024, 
    0.26829268292682928, 0.31707317073170732, 0.34146341463414637, 
    0.34146341463414637, 0.36585365853658536, 0.36585365853658536, 
    0.36585365853658536, 0.36585365853658536, 0.3902439024390244, 
    0.41463414634146339, 0.41463414634146339, 0.43902439024390244, 
    0.46341463414634149, 0.48780487804878048, 0.48780487804878048, 
    0.51219512195121952, 0.53658536585365857, 0.56097560975609762, 
    0.56097560975609762, 0.58536585365853655, 0.58536585365853655, 
    0.6097560975609756, 0.6097560975609756, 0.65853658536585369, 
    0.65853658536585369, 0.65853658536585369, 0.65853658536585369, 
    0.68292682926829273, 0.70731707317073167, 0.70731707317073167, 
    0.73170731707317072, 0.75609756097560976, 0.78048780487804881, 
    0.80487804878048785, 0.85365853658536583, 0.87804878048780488, 
    0.90243902439024393, 0.92682926829268297, 0.95121951219512191, 
    0.97560975609756095, 1), thresholds = c(-Inf, 0.035000000000000003, 
    0.044999999999999998, 0.055, 0.065000000000000002, 0.075000000000000011, 
    0.084999999999999992, 0.095000000000000001, 0.10500000000000001, 
    0.11499999999999999, 0.125, 0.13500000000000001, 0.14500000000000002, 
    0.155, 0.16500000000000001, 0.17499999999999999, 0.185, 0.20500000000000002, 
    0.22500000000000001, 0.23499999999999999, 0.245, 0.255, 0.26500000000000001, 
    0.27500000000000002, 0.29000000000000004, 0.31, 0.32500000000000001, 
    0.33500000000000002, 0.34499999999999997, 0.36499999999999999, 
    0.39500000000000002, 0.41999999999999998, 0.435, 0.44500000000000001, 
    0.45500000000000002, 0.46499999999999997, 0.47499999999999998, 
    0.48499999999999999, 0.495, 0.51000000000000001, 0.54000000000000004, 
    0.57000000000000006, 0.6399999999999999, 0.70499999999999996, 
    0.72499999999999998, 0.755, 0.79499999999999993, 0.83999999999999997, 
    0.90999999999999992, 1.5149999999999999, Inf), auc = 0.26863143631436315, 
    smooth = list(binormal = list(sensitivities = c(1, 1, 0.88888888888888884, 
    0.77777777777777768, 0.66666666666666663, 0.55555555555555558, 
    0.44444444444444442, 0.33333333333333337, 0.22222222222222213, 
    0.11111111111111113, 0, 0), specificities = c(0, 0, 0.036980450235785507, 
    0.077223470604070241, 0.12339217012272917, 0.17707059391233013, 
    0.24065190559688782, 0.3182498490917357, 0.41808483571447186, 
    0.56200769409386819, 1, 1)), density = list(sensitivities = c(1, 
    1, 0.99873921866488968, 0.12493272244762309, 0.0038902206061686736, 
    1.1152374486878449e-11, 8.4026002997308378e-17, 3.8450687873718744e-17, 
    3.690663638556004e-17, 3.690663638556004e-17, 3.690663638556004e-17, 
    0), specificities = c(0, 0, 0.00068073667953089849, 0.53518939906654595, 
    0.77082333930552882, 0.90994760473233038, 0.98244491037229364, 
    0.98250976422281722, 0.98250976422281866, 0.98250977145878382, 
    0.99956325378865984, 1)), fitdistr = list(sensitivities = c(1, 
    1, 0.57530428678941115, 0.033114889996037018, 9.5934537797792092e-05, 
    1.3292550660413001e-08, 8.7868943140878936e-14, 2.7707940894835804e-20, 
    4.1678530082321198e-28, 2.9906095000627991e-37, 1.0236375083230024e-47, 
    0), specificities = c(0, 0, 0.16488596329802269, 0.41553017871566622, 
    0.67762776311836914, 0.86616610473052713, 0.95946310474604235, 
    0.99122211852210751, 0.99865911658323359, 0.99985712442536112, 
    0.99998988006687617, 1)), logcondens = list(sensitivities = c(1, 
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    0.55555555555555558, 0.66666666666666674, 0.77777777777777779, 
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    1, 0.68160709500887995, 0.52447817567232491, 0.35644973890290044, 
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    0.44444444444444442, 0.55555555555555558, 0.66666666666666674, 
    0.77777777777777779, 0.88888888888888884, 1, 1)))), `>` = list(
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    0.075000000000000011, 0.065000000000000002, 0.055, 0.044999999999999998, 
    0.035000000000000003, -Inf), auc = 0.73136856368563685, smooth = list(
        binormal = list(sensitivities = c(1, 1, 0.88888888888888884, 
        0.77777777777777768, 0.66666666666666663, 0.55555555555555558, 
        0.44444444444444442, 0.33333333333333337, 0.22222222222222213, 
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        0, 0.00043674621134013675, 0.017490228541216186, 0.017490235777181288, 
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        0.22917666069447112, 0.464810600933454, 0.99931926332046905, 
        1)), fitdistr = list(sensitivities = c(1, 1, 1, 1, 1, 
        1, 0.99999999999991218, 0.9999999867074495, 0.99990406546220234, 
        0.96688511000396316, 0.42469571321058891, 0), specificities = c(0, 
        0, 1.0119933123736651e-05, 0.00014287557463888575, 0.0013408834167663738, 
        0.0087778814778924647, 0.040536895253957712, 0.13383389526947279, 
        0.3223722368816308, 0.58446982128433378, 0.83511403670197726, 
        1)), logcondens = list(sensitivities = c(1, 1, 0.68640943170234492, 
        0.47305003502387177, 0.30140748787016336, 0.17529939841995956, 
        0.081977746864886791, 0.019706665328343642, 0, 0, 0, 
        0), specificities = c(0, 0, 0.11111111111111116, 0.22222222222222232, 
        0.33333333333333337, 0.44444444444444442, 0.55555555555555558, 
        0.66666666666666674, 0.77777777777777779, 0.88888888888888884, 
        1, 1)), logcondens.smooth = list(sensitivities = c(1, 
        1, 0.68160709500887995, 0.52447817567232491, 0.35644973890290044, 
        0.21421346701630162, 0.10440198579322246, 0.032733231067172075, 
        0.0023298031569144451, 2.8609038515980956e-07, 0, 0), 
            specificities = c(0, 0, 0.11111111111111116, 0.22222222222222232, 
            0.33333333333333337, 0.44444444444444442, 0.55555555555555558, 
            0.66666666666666674, 0.77777777777777779, 0.88888888888888884, 
            1, 1)))))))