Code
result
Output
An object of class "Effloglog"
Slot "eff":
[1] 1.223 2.513
Slot "eff_dose":
[1] 29 304
Slot "nu":
a b
6.500 5132.335
Slot "use_fixed":
[1] FALSE
Slot "theta1":
[1] 28.65738
Slot "theta2":
[1] 11.7395
Slot "Pcov":
(Intercept) log(log(x))
(Intercept) 192.6410 -124.4682
log(log(x)) -124.4682 128.1836
Slot "X":
(Intercept) log(log(x))
3 1 -0.365792
4 1 1.192660
5 1 1.192660
6 1 1.192660
7 1 -0.365792
8 1 1.374030
9 1 1.374030
10 1 1.374030
11 1 -0.365792
12 1 1.531470
13 1 1.531470
Slot "Y":
[1] 13 77 86 26 27 36 37 97 21 49 48
Slot "mu":
[1] 28.65738 11.73950
Slot "Q":
(Intercept) log(log(x))
(Intercept) 13.0000 12.62320
log(log(x)) 12.6232 19.53709
Slot "const":
[1] 2
Slot "data":
An object of class "DataDual"
Slot "w":
[1] 13 77 86 26 27 36 37 97 21 49 87 48
Slot "x":
[1] 0.001 25.000 25.000 25.000 0.001 50.000 50.000 50.000 0.001
[10] 100.000 100.000 100.000
Slot "y":
[1] 0 0 0 0 0 0 0 0 0 0 1 0
Slot "doseGrid":
[1] 0.001 25.000 50.000 75.000 100.000 125.000 150.000 175.000 200.000
[10] 225.000 250.000 275.000 300.000
Slot "nGrid":
[1] 13
Slot "xLevel":
[1] 1 2 2 2 1 3 3 3 1 5 5 5
Slot "placebo":
[1] TRUE
Slot "ID":
[1] 1 2 3 4 5 6 7 8 9 10 11 12
Slot "cohort":
[1] 1 1 1 1 2 2 2 2 3 3 3 3
Slot "nObs":
[1] 12
Code
result
Output
An object of class "EffFlexi"
Slot "eff":
[1] 1.223 2.513
Slot "eff_dose":
[1] 25 300
Slot "sigma2W":
a b
0.1 0.1
Slot "sigma2betaW":
a b
20 50
Slot "use_fixed":
sigma2W sigma2betaW
FALSE FALSE
Slot "rw1":
[1] TRUE
Slot "X":
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13]
[1,] 0 1 0 0 0 0 0 0 0 0 0 0 0
[2,] 0 0 0 0 0 0 0 0 0 0 0 0 1
[3,] 1 0 0 0 0 0 0 0 0 0 0 0 0
[4,] 0 1 0 0 0 0 0 0 0 0 0 0 0
[5,] 0 1 0 0 0 0 0 0 0 0 0 0 0
[6,] 0 1 0 0 0 0 0 0 0 0 0 0 0
[7,] 1 0 0 0 0 0 0 0 0 0 0 0 0
[8,] 0 0 1 0 0 0 0 0 0 0 0 0 0
[9,] 0 0 1 0 0 0 0 0 0 0 0 0 0
[10,] 0 0 1 0 0 0 0 0 0 0 0 0 0
[11,] 1 0 0 0 0 0 0 0 0 0 0 0 0
[12,] 0 0 0 0 1 0 0 0 0 0 0 0 0
[13,] 0 0 0 0 1 0 0 0 0 0 0 0 0
Slot "RW":
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13]
[1,] 1 -1 0 0 0 0 0 0 0 0 0 0 0
[2,] -1 2 -1 0 0 0 0 0 0 0 0 0 0
[3,] 0 -1 2 -1 0 0 0 0 0 0 0 0 0
[4,] 0 0 -1 2 -1 0 0 0 0 0 0 0 0
[5,] 0 0 0 -1 2 -1 0 0 0 0 0 0 0
[6,] 0 0 0 0 -1 2 -1 0 0 0 0 0 0
[7,] 0 0 0 0 0 -1 2 -1 0 0 0 0 0
[8,] 0 0 0 0 0 0 -1 2 -1 0 0 0 0
[9,] 0 0 0 0 0 0 0 -1 2 -1 0 0 0
[10,] 0 0 0 0 0 0 0 0 -1 2 -1 0 0
[11,] 0 0 0 0 0 0 0 0 0 -1 2 -1 0
[12,] 0 0 0 0 0 0 0 0 0 0 -1 2 -1
[13,] 0 0 0 0 0 0 0 0 0 0 0 -1 1
Slot "RW_rank":
[1] 12
Slot "data":
An object of class "DataDual"
Slot "w":
[1] 13 77 86 26 27 36 37 97 21 49 87 48
Slot "x":
[1] 0.001 25.000 25.000 25.000 0.001 50.000 50.000 50.000 0.001
[10] 100.000 100.000 100.000
Slot "y":
[1] 0 0 0 0 0 0 0 0 0 0 1 0
Slot "doseGrid":
[1] 0.001 25.000 50.000 75.000 100.000 125.000 150.000 175.000 200.000
[10] 225.000 250.000 275.000 300.000
Slot "nGrid":
[1] 13
Slot "xLevel":
[1] 1 2 2 2 1 3 3 3 1 5 5 5
Slot "placebo":
[1] TRUE
Slot "ID":
[1] 1 2 3 4 5 6 7 8 9 10 11 12
Slot "cohort":
[1] 1 1 1 1 2 2 2 2 3 3 3 3
Slot "nObs":
[1] 12
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