inverse_ALK: Age-Length Key by the methods based on inverse ALKs

Description Usage Arguments Details Value References See Also Examples

View source: R/inverse_ALK.r

Description

Generation of Age-Length Keys (ALK) using incomplete data, by methods based on inverse ALKs.

Usage

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gascuel(x, fi1, fi2, initial_values, threshold = 1e-04, maxiter = 2000,
  age_classes = colnames(x), length_classes = rownames(x), name = "",
  description = "")

hoenig_heisey(x, fi1, fi2, threshold = 1e-04, maxiter = 2000,
  age_classes = colnames(x), length_classes = rownames(x), name = "",
  description = "")

inverse_ALK(x, fi1, fi2, age_classes = colnames(x),
  length_classes = rownames(x), name = "", description = "")

kimura_chikuni(x, fi1, fi2, threshold = 1e-04, maxiter = 2000,
  age_classes = colnames(x), length_classes = rownames(x), name = "",
  description = "")

Arguments

x

A i \times j matrix with i lines and j columns, where x[i, j] is the count of individuals of length i and age j.

fi1

A vector of length i where fi[i] is the number of fish in the length-class i on the population from which x was sampled.

fi2

A vector of length i where fi[i] is the number of fish in the length-class i on a population with unknown age information.

age_classes

A vector with the name of each age class.

length_classes

A vector with the name of each age class.

threshold

The value at which convergence is considered to be achieved: see ‘details’.

maxiter

The maximum number of iterations of the EM algorithm: see ‘details’.

initial_values

A vector with the initial values for α, β and γ: see ‘details’.

name

A string with the name of the ALK.

description

A string describing the ALK.

Details

inverseALK calculates an ALK from a sample of aged-fish, the length distribution of the sampled population and the length distribution of a population with unknown age-length data, as described by Clark (1981), Bartoo and Parker (1983) and Hilborn and Walters (1992).

kimura_chikuni, hoenig_heisey and gascuel use the same inputs as inverseALK to calculate an ALK as described respectively by Kimura and Chikuni (1987), Hoenig and Heisey (1987) and Gascuel (1994).

hoenig employs the generalized method proposed by Hoenig et al. (1993, 1994), which takes an undefined number of data sets with known and unknown age information and combines them to calculate the ALK.

The returned ALKr object contains information on the convergence threshold that was used, the number of iterations ran, and if convergence was reached.

Initial values

The method proposed by Gascuel (1994) is based on the assumption that the length distribution within each age class follows a Normal distribution, where the standard deviation of length at age σ(j) is given by a linear model as a function of three parameters α, β and γ:

σ(j) = α + β l(j) + γ Δl(j)

where Δl(j) is the difference between the mean lengths at age-class j and age-class j-1.

Convergence

The methods proposed by Kimura and Chikuni (1987), Hoenig and Heisey (1987) and Gascuel (1994) are all based on the EM algorithm as defined by Dempster et al. (1997), and build the ALK by a series of iterations which are repeated until convergence is acheived.

The convergence is tested by evaluating the sum of the absolute differences between the ages distributions calculated on the previous and current iterations: sum(abs(pj_prev - pj_curr)). The algorithm exits when either this value is smaller than the specified threshold or when the number of iterations reaches maxiter.

Value

An ALKr object, containing a i \times j matrix with the probability of an individual of length i having age j, i.e. P(j|i), a i \times j matrix with the estimated number of individuals of length i and age j, and information about the method used to generate the key.

References

Bartoo, N.W., Parker, K.R. (1983). Stochastic age-frequency estimation using the von Bertalanffy growth equation. Fishery Bulletin, 81/1, 91-96

Clark, W.G. (1981). Restricted Least-Squares Estimates of Age Composition from Length Composition. Canadian Journal of Fisheries and Aquatic Sciences, 38/3, 297-307. DOI: 10.1139/f81-041

Dempster, A.P., Laird, N.M., Rubin, D.B. (1977). Maximum Likelihood from Incomplete Data via the EM Algorithm. Journal of the Royal Statistical Society. Series B (Methodological), 39/1, 1-38. DOI: 10.2307/2984875

Gascuel, D. (1994). Une methode simple d'ajustement des cles taille/age: application aux captures d'albacores (Thunnus albacares) de l'Atlantique Est. Canadian Journal of Fisheries and Aquatic Sciences, 51/3, 723-733. DOI: 10.1139/f94-072

Hilborn, R., Walters, C.J. (1992). Quantitative fisheries stock assessment: Choice, dynamics and uncertainty. Reviews in Fish Biology and Fisheries, 2/2, 177-178. DOI: 10.1007/BF00042883

Hoenig, J.M., Heisey, D.M. (1987), Use of a Log-Linear Model with the EM Algorithm to Correct Estimates of Stock Composition and to Convert Length to Age. Transactions of the American Fisheries Society, 116/2, 232-243. DOI: 10.1577/1548-8659(1987)116<232:UOALMW>2.0.CO;2

See Also

hoenig

Examples

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data(hom)

inverse_ALK(hom$otoliths[[1]], fi1 = hom$F1992, fi2 = hom$F1993)

kimura_chikuni(hom$otoliths[[1]], fi1 = hom$F1992, fi2 = hom$F1993) # converges
kimura_chikuni(hom$otoliths[[1]], fi1 = hom$F1992, fi2 = hom$F1993, maxiter = 10) # won't converge

hoenig_heisey(hom$otoliths[[1]], fi1 = hom$F1992, fi2 = hom$F1993)

gascuel(hom$otoliths[[1]], fi1 = hom$F1992, fi2 = hom$F1993,
  initial_values = c(0.1, 0.07, 0.06))

Example output

               0             1             2             3             4
7   2.153102e+00 -1.171167e+00  1.871984e-02 -6.000848e-02  9.213687e-02
8   2.153102e+00 -1.171167e+00  1.871984e-02 -6.000848e-02  9.213687e-02
9   2.153102e+00 -1.171167e+00  1.871984e-02 -6.000848e-02  9.213687e-02
10  2.153102e+00 -1.171167e+00  1.871984e-02 -6.000848e-02  9.213687e-02
11  2.910497e+00 -2.132581e+00  3.702986e-01 -4.483765e-01  3.236365e-01
12  2.153102e+00 -1.171167e+00  1.871984e-02 -6.000848e-02  9.213687e-02
13  1.281385e+00 -6.463817e-02 -3.859263e-01  3.869799e-01 -1.743053e-01
14  2.673509e-01  1.222545e+00 -8.566356e-01  9.069443e-01 -4.842473e-01
15  2.153102e+00 -1.171167e+00  1.871984e-02 -6.000848e-02  9.213687e-02
16 -9.269517e-01  2.738555e+00 -1.411024e+00  1.519345e+00 -8.492887e-01
17  7.553016e-01 -2.648790e-01  1.121070e+00 -1.756179e+00  1.132965e+00
18 -2.165319e+00  3.246670e+00  1.603356e-01 -8.028364e-01  5.714089e-01
19 -1.321321e-02  7.828098e-02 -1.426248e-01  5.236309e+00 -4.981494e+00
20  2.490383e-01 -1.152376e+00  3.973004e+00 -5.749964e+00  3.566070e+00
21  5.664107e-02 -2.270293e-01  4.891580e-01  2.601567e-01  1.571723e+00
22  5.664107e-02 -2.270293e-01  4.891580e-01  2.601567e-01  1.571723e+00
23 -1.044458e-02  3.939251e-02 -8.940532e-02 -5.394977e-04  5.397472e-01
24 -5.374615e-02  1.553492e-01 -3.558837e-01  4.117349e-01  6.462598e-01
25 -3.976376e-02  1.332669e-01 -3.788722e-01  5.623755e-01  1.108979e+00
26  1.910224e-02 -3.399418e-02  1.133496e-01 -5.184960e-01  8.117601e-01
27  3.189523e-02 -3.377642e-02  1.655256e-01 -1.216013e+00  2.458940e+00
28  7.916112e-02 -2.717065e-01  5.994854e-01 -1.250691e-01 -2.931454e+00
29  3.884537e-04  8.293789e-03 -1.442592e-02 -1.060558e-01  4.286798e-01
30  2.792673e-03 -1.644396e-02  5.432607e-02 -4.492304e-02 -3.653887e-01
31 -3.086370e-02  5.572475e-02 -1.758505e-01  7.804397e-01 -1.252220e+00
32  1.609508e-02 -2.162789e-02  6.072914e-02 -3.907492e-01  9.497298e-01
33  4.754402e-03 -1.331637e-02  9.361678e-03  7.758777e-02 -9.266141e-02
34  1.787657e-02 -4.247241e-02  1.262201e-01 -3.735553e-01  2.714560e-01
35 -8.023094e-04  8.321309e-03 -1.573987e-02 -6.182394e-02  2.869240e-01
36 -1.113901e-02  2.525294e-02 -6.724159e-02  1.947889e-01 -2.011294e-01
37  1.113778e-02 -2.531674e-02  6.777310e-02 -1.963659e-01  1.991232e-01
38  2.404930e-02 -5.452150e-02  1.451757e-01 -4.205525e-01  4.342416e-01
39 -1.601102e-02  4.610215e-02 -1.047601e-01  1.193672e-01  1.868230e-01
40  1.057759e-03 -1.760813e-03  1.227977e-03 -3.200823e-03  3.808406e-02
41  3.812377e-16 -2.088106e-17  1.271024e-16  6.528252e-16  2.592327e-16
               5             6             7             8             9
7  -3.469562e-02 -8.209329e-03  1.616737e-02 -1.799939e-04 -1.466226e-02
8  -3.469562e-02 -8.209329e-03  1.616737e-02 -1.799938e-04 -1.466226e-02
9  -3.469562e-02 -8.209329e-03  1.616737e-02 -1.799938e-04 -1.466226e-02
10 -3.469562e-02 -8.209329e-03  1.616737e-02 -1.799938e-04 -1.466226e-02
11 -2.508478e-02 -8.375689e-03  3.913545e-02  1.693911e-02 -5.715149e-02
12 -3.469562e-02 -8.209329e-03  1.616737e-02 -1.799938e-04 -1.466226e-02
13 -4.575712e-02 -8.017858e-03 -1.026751e-02 -1.988306e-02  3.424030e-02
14 -5.862455e-02 -7.795127e-03 -4.101820e-02 -4.280288e-02  9.112677e-02
15 -3.469562e-02 -8.209329e-03  1.616737e-02 -1.799938e-04 -1.466226e-02
16 -7.377946e-02 -7.532800e-03 -7.723553e-02 -6.979722e-02  1.581261e-01
17 -3.114932e-03  1.944843e-02  1.120191e-01  6.742831e-02 -2.107035e-01
18 -2.905152e-02  2.625918e-02  5.463255e-02  2.379077e-02 -1.087657e-01
19  9.924653e-01  2.148380e-03 -6.342199e-01 -9.077433e-02  8.912780e-01
20  7.739616e-02  6.777226e-02  3.403501e-01  2.308546e-01 -6.661022e-01
21 -1.153014e+00 -3.938947e-01  4.199205e-01 -7.319027e-02 -1.924432e-01
22 -1.153014e+00 -3.938947e-01  4.199205e-01 -7.319027e-02 -1.924432e-01
23 -5.325783e-01  1.514622e+00  4.816369e-02 -2.133375e-01 -1.886750e-01
24  8.239541e-02 -2.574033e-01  8.949490e-01  2.267711e-01 -6.856820e-01
25  6.545322e-01 -3.279034e-01 -9.194233e-01 -3.154256e-01 -6.313376e-01
26  1.313052e+00 -1.674162e-01 -1.563312e+00 -1.479172e+00  3.335860e+00
27 -3.719829e-01 -3.331450e-01  2.154869e-01  2.181180e+00 -1.445095e+00
28  3.962141e+00  7.752535e-01 -3.990457e-01  3.836618e-01 -8.818640e-01
29 -9.062469e-01 -8.805334e-02  1.043095e+00 -9.657711e-01  6.452537e-01
30  4.515309e-01  2.821212e-01 -5.318873e-01 -1.190236e-02  5.423833e-01
31  1.299040e-01  1.567422e-01 -1.457354e-01  1.765382e+00  1.394709e+00
32 -2.369568e+00 -1.714453e-01  2.819620e+00 -4.118617e-01  1.169238e+00
33 -3.445830e-02 -1.498705e-01  1.417848e-01  1.774666e+00 -8.023840e-01
34  8.090756e-01  6.056544e-02 -8.510558e-01 -1.623424e-01 -1.392939e+00
35  1.363288e-01 -1.113920e-01 -3.290942e-01 -1.101204e+00 -9.487247e-02
36  5.302499e-01 -2.267010e-02 -6.408978e-01 -5.197730e-01 -1.155242e-01
37 -4.895318e-01  2.401971e-02  5.988359e-01  4.425034e-01  1.087738e-01
38 -1.144818e+00  4.894512e-02  1.383709e+00  1.122198e+00  2.494186e-01
39  1.833874e+00 -2.020683e-01 -2.406054e+00 -1.438512e+00 -2.302220e+00
40 -4.394383e-01 -1.078606e-02  4.626880e-01  7.882276e-01  7.544497e-02
41 -3.881986e-16  8.162052e-17  2.168574e-16 -1.908484e-16 -8.826761e-17
              10            11            12            13            14
7   2.294124e-02 -1.241020e-02 -1.068623e-04  1.963470e-03 -3.611497e-03
8   2.294124e-02 -1.241020e-02 -1.068623e-04  1.963470e-03 -3.611497e-03
9   2.294124e-02 -1.241020e-02 -1.068623e-04  1.963470e-03 -3.611497e-03
10  2.294124e-02 -1.241020e-02 -1.068623e-04  1.963470e-03 -3.611497e-03
11  5.258484e-02 -3.584594e-02 -4.873167e-03  7.624506e-03 -8.596809e-03
12  2.294124e-02 -1.241020e-02 -1.068623e-04  1.963470e-03 -3.611497e-03
13 -1.117678e-02  1.456294e-02  5.378870e-03 -4.552044e-03  2.126299e-03
14 -5.086495e-02  4.593976e-02  1.176021e-02 -1.213129e-02  8.800855e-03
15  2.294124e-02 -1.241020e-02 -1.068623e-04  1.963470e-03 -3.611497e-03
16 -9.760862e-02  8.289454e-02  1.927598e-02 -2.105793e-02  1.666197e-02
17  1.648024e-01 -1.171426e-01 -2.109680e-02  2.623911e-02 -2.685163e-02
18  9.483081e-02 -6.015040e-02 -9.435883e-03  1.224157e-02 -1.494492e-02
19 -1.027909e+00  5.873391e-01  4.766471e-02 -1.038030e-01  1.607052e-01
20  4.914915e-01 -3.623367e-01 -7.041685e-02  8.366375e-02 -8.070431e-02
21  5.308087e-01 -2.634704e-01  2.469743e-02  3.404658e-02 -8.384691e-02
22  5.308087e-01 -2.634704e-01  2.469743e-02  3.404658e-02 -8.384691e-02
23  3.336002e-01 -2.545456e-01 -2.883656e-01  1.540107e-01 -5.845855e-02
24  5.118745e-01 -4.942222e-01 -1.538098e-01  1.704648e-01 -1.026555e-01
25  3.472362e-01  5.481309e-01  7.434065e-01 -4.918682e-01  2.191440e-02
26 -3.249965e+00  2.634034e+00 -3.403546e-01 -5.202724e-01  6.372868e-01
27  6.087261e-01 -1.644167e+00  1.512233e-01  4.954144e-01 -2.575280e-01
28 -5.726294e-01  3.075842e-01  7.632936e-02 -1.000023e-01  9.963826e-02
29  3.377810e+00 -1.600943e+00 -7.898843e-01  4.143631e-01 -4.695168e-01
30 -8.486844e-02 -3.829242e-01  1.360392e+00 -4.614107e-02 -1.692309e-01
31 -1.640447e+00  5.756066e-01 -1.040557e+00  2.922549e-02  3.680798e-01
32 -1.851554e+00  1.295082e+00 -2.187204e-01 -2.238582e-01  3.436302e-01
33  1.274128e+00 -2.193410e+00  9.825934e-01  5.298159e-01 -4.775364e-01
34  1.497087e+00  1.651714e+00  4.950962e-01 -1.328737e+00  2.162862e-01
35  8.957068e-01  2.437406e+00 -4.811562e-02 -1.417536e+00  3.954476e-01
36 -2.220930e-01  7.467712e-01  8.023514e-01  1.986511e-01  3.777181e-01
37  2.059248e-01 -6.008317e-01 -7.949488e-01  3.233452e+00 -1.760936e+00
38  4.795025e-01 -1.612291e+00 -1.732290e+00 -4.288910e-01  2.566882e+00
39  2.286890e+00  1.099319e+00  3.988292e+00 -1.743236e+00 -2.552721e-01
40  1.755745e-01 -1.466669e+00 -1.461826e-01  3.509426e+00 -1.937718e+00
41 -2.215838e-18 -1.782157e-17 -5.963917e-17  2.057545e-16  5.164343e-16
              15
7   2.119375e-05
8   2.119375e-05
9   2.119375e-05
10  2.119375e-05
11  1.693613e-04
12  2.119375e-05
13 -1.493382e-04
14 -3.477115e-04
15  2.119375e-05
16 -5.813502e-04
17  6.928061e-04
18  3.346198e-04
19 -2.151416e-03
20  2.259677e-03
21 -2.626250e-04
22 -2.626250e-04
23  6.813558e-03
24  3.604001e-03
25 -1.524768e-02
26  8.536757e-03
27 -6.683569e-03
28 -1.483631e-03
29  2.301299e-02
30 -3.983675e-02
31  2.986030e-02
32  5.259866e-03
33 -3.105504e-02
34  5.725726e-03
35  2.044579e-02
36 -7.531552e-02
37 -2.361285e-02
38 -6.075735e-02
39 -9.253340e-02
40 -4.597605e-02
41  1.000000e+00

Method: Classic Inverse ALK 
           0         1          2         3          4          5         6
7  0.6304005 0.3695995 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
8  0.6304005 0.3695995 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
9  0.6304005 0.3695995 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
10 0.6304005 0.3695995 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
11 0.7189785 0.2810215 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
12 0.6304005 0.3695995 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
13 0.5320734 0.4679266 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
14 0.4222942 0.5777058 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
15 0.6304005 0.3695995 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
16 0.2989382 0.7010618 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
17 0.4333541 0.5081451 0.05850078 0.0000000 0.00000000 0.00000000 0.0000000
18 0.0000000 0.9287200 0.07127996 0.0000000 0.00000000 0.00000000 0.0000000
19 0.1758596 0.4124212 0.28488273 0.1268365 0.00000000 0.00000000 0.0000000
20 0.0000000 0.5914511 0.40854886 0.0000000 0.00000000 0.00000000 0.0000000
21 0.0000000 0.2435485 0.42058195 0.2996047 0.03626485 0.00000000 0.0000000
22 0.0000000 0.2435485 0.42058195 0.2996047 0.03626485 0.00000000 0.0000000
23 0.0000000 0.0000000 0.24176235 0.4305530 0.06948686 0.00000000 0.2581978
24 0.0000000 0.0000000 0.00000000 0.6981634 0.12676100 0.12537196 0.0000000
25 0.0000000 0.0000000 0.18088809 0.6442849 0.11697862 0.05784839 0.0000000
26 0.0000000 0.0000000 0.00000000 0.5539899 0.17881663 0.13264288 0.0000000
27 0.0000000 0.0000000 0.00000000 0.7364744 0.17828917 0.06612581 0.0000000
28 0.0000000 0.0000000 0.00000000 0.2218824 0.05371432 0.39844289 0.1995905
29 0.0000000 0.0000000 0.00000000 0.2575943 0.06235963 0.18502890 0.0000000
30 0.0000000 0.0000000 0.00000000 0.0000000 0.05622025 0.08340629 0.4178040
31 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.2973865
32 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.2735107
33 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.14182476 0.0000000
34 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.5240278
35 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
36 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
37 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
38 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
39 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
40 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
41 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
            7          8         9         10         11           12
7  0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
8  0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
9  0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
10 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
11 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
12 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
13 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
14 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
15 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
16 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
17 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
18 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
19 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
20 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
21 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
22 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
23 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
24 0.04970363 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
25 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
26 0.00000000 0.00000000 0.1345506 0.00000000 0.00000000 0.000000e+00
27 0.00000000 0.01911062 0.0000000 0.00000000 0.00000000 0.000000e+00
28 0.12636994 0.00000000 0.0000000 0.00000000 0.00000000 0.000000e+00
29 0.07335459 0.00000000 0.3753800 0.04628254 0.00000000 0.000000e+00
30 0.06613273 0.02410475 0.3384234 0.01390866 0.00000000 3.816275e-09
31 0.00000000 0.13725913 0.4817692 0.03959987 0.04398538 0.000000e+00
32 0.43293049 0.03155980 0.2215450 0.00000000 0.04045399 4.996564e-09
33 0.11245267 0.12296377 0.5754580 0.04730080 0.00000000 6.489228e-09
34 0.00000000 0.18139931 0.0000000 0.13955870 0.15501420 0.000000e+00
35 0.16492593 0.12022785 0.4219906 0.13874509 0.15411048 0.000000e+00
36 0.00000000 0.00000000 0.0000000 0.32258845 0.35831365 4.425612e-08
37 0.00000000 0.24526931 0.0000000 0.28304518 0.47158671 0.000000e+00
38 0.00000000 0.11077422 0.0000000 0.38350631 0.00000000 0.000000e+00
39 0.00000000 0.00000000 0.6616441 0.21754006 0.12081581 5.968893e-08
40 0.00000000 0.15020291 0.5272008 0.13000264 0.19253311 1.189010e-08
41 0.00000000 0.00000000 0.0000000 0.32686114 0.24203969 8.968459e-08
             13        14           15
7  0.000000e+00 0.0000000 0.000000e+00
8  0.000000e+00 0.0000000 0.000000e+00
9  0.000000e+00 0.0000000 0.000000e+00
10 0.000000e+00 0.0000000 0.000000e+00
11 0.000000e+00 0.0000000 0.000000e+00
12 0.000000e+00 0.0000000 0.000000e+00
13 0.000000e+00 0.0000000 0.000000e+00
14 0.000000e+00 0.0000000 0.000000e+00
15 0.000000e+00 0.0000000 0.000000e+00
16 0.000000e+00 0.0000000 0.000000e+00
17 0.000000e+00 0.0000000 0.000000e+00
18 0.000000e+00 0.0000000 0.000000e+00
19 0.000000e+00 0.0000000 0.000000e+00
20 0.000000e+00 0.0000000 0.000000e+00
21 0.000000e+00 0.0000000 0.000000e+00
22 0.000000e+00 0.0000000 0.000000e+00
23 0.000000e+00 0.0000000 0.000000e+00
24 0.000000e+00 0.0000000 0.000000e+00
25 0.000000e+00 0.0000000 0.000000e+00
26 0.000000e+00 0.0000000 0.000000e+00
27 0.000000e+00 0.0000000 0.000000e+00
28 0.000000e+00 0.0000000 0.000000e+00
29 0.000000e+00 0.0000000 0.000000e+00
30 0.000000e+00 0.0000000 0.000000e+00
31 0.000000e+00 0.0000000 0.000000e+00
32 0.000000e+00 0.0000000 0.000000e+00
33 0.000000e+00 0.0000000 0.000000e+00
34 0.000000e+00 0.0000000 0.000000e+00
35 0.000000e+00 0.0000000 0.000000e+00
36 1.126047e-04 0.3189852 0.000000e+00
37 9.880152e-05 0.0000000 0.000000e+00
38 8.924608e-05 0.5056302 0.000000e+00
39 0.000000e+00 0.0000000 0.000000e+00
40 6.050605e-05 0.0000000 0.000000e+00
41 1.521283e-04 0.4309470 7.983815e-83

Method: Kimura & Chikuni 
                     Value
ConvergenceThreshold 1e-04
Iterations           193  
Converged            TRUE 
           0         1          2          3          4          5         6
7  0.6763306 0.3236694 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
8  0.6763306 0.3236694 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
9  0.6763306 0.3236694 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
10 0.6763306 0.3236694 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
11 0.7581245 0.2418755 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
12 0.6763306 0.3236694 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
13 0.5821229 0.4178771 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
14 0.4724433 0.5275567 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
15 0.6763306 0.3236694 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
16 0.3431394 0.6568606 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
17 0.4728580 0.4525883 0.07455370 0.00000000 0.00000000 0.00000000 0.0000000
18 0.0000000 0.9010484 0.09895157 0.00000000 0.00000000 0.00000000 0.0000000
19 0.1920689 0.3676712 0.36339315 0.07686671 0.00000000 0.00000000 0.0000000
20 0.0000000 0.5029259 0.49707407 0.00000000 0.00000000 0.00000000 0.0000000
21 0.0000000 0.2137092 0.52805636 0.17871534 0.07951912 0.00000000 0.0000000
22 0.0000000 0.2137092 0.52805636 0.17871534 0.07951912 0.00000000 0.0000000
23 0.0000000 0.0000000 0.32408177 0.27420549 0.16267643 0.00000000 0.2390363
24 0.0000000 0.0000000 0.00000000 0.45471805 0.30348917 0.17391525 0.0000000
25 0.0000000 0.0000000 0.24124182 0.40822928 0.27246151 0.07806739 0.0000000
26 0.0000000 0.0000000 0.00000000 0.33768323 0.40067106 0.17220419 0.0000000
27 0.0000000 0.0000000 0.00000000 0.46159915 0.41077570 0.08827353 0.0000000
28 0.0000000 0.0000000 0.00000000 0.12170805 0.10830763 0.46549474 0.1591469
29 0.0000000 0.0000000 0.00000000 0.16695127 0.14856944 0.25541430 0.0000000
30 0.0000000 0.0000000 0.00000000 0.00000000 0.12651337 0.10874822 0.3717968
31 0.0000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000 0.2817889
32 0.0000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000 0.2309773
33 0.0000000 0.0000000 0.00000000 0.00000000 0.00000000 0.17630151 0.0000000
34 0.0000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000 0.4232098
35 0.0000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
36 0.0000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
37 0.0000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
38 0.0000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
39 0.0000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
40 0.0000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
41 0.0000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
            7          8          9         10         11         12         13
7  0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
8  0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
9  0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
10 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
11 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
12 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
13 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
14 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
15 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
16 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
17 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
18 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
19 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
20 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
21 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
22 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
23 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
24 0.06787752 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
25 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
26 0.00000000 0.00000000 0.08944152 0.00000000 0.00000000 0.00000000 0.00000000
27 0.00000000 0.03935163 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
28 0.14534265 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
29 0.09968585 0.00000000 0.26532042 0.06405872 0.00000000 0.00000000 0.00000000
30 0.08488686 0.04847908 0.22593193 0.01818293 0.00000000 0.01546079 0.00000000
31 0.00000000 0.29394268 0.34247265 0.05512419 0.02667153 0.00000000 0.00000000
32 0.52735633 0.06023489 0.14035934 0.00000000 0.02186218 0.01920992 0.00000000
33 0.13761771 0.23578138 0.36627855 0.05895597 0.00000000 0.02506488 0.00000000
34 0.00000000 0.33109737 0.00000000 0.16557853 0.08011426 0.00000000 0.00000000
35 0.21077671 0.24075014 0.28049801 0.18059516 0.08737997 0.00000000 0.00000000
36 0.00000000 0.00000000 0.00000000 0.45804827 0.22162413 0.19473727 0.03774470
37 0.00000000 0.42438121 0.00000000 0.31834329 0.23104296 0.00000000 0.02623254
38 0.00000000 0.25319763 0.00000000 0.56979737 0.00000000 0.00000000 0.03130213
39 0.00000000 0.00000000 0.42606753 0.27431828 0.06636369 0.23325050 0.00000000
40 0.00000000 0.30193945 0.35178968 0.16987156 0.10958856 0.04814678 0.01866397
41 0.00000000 0.00000000 0.00000000 0.39394265 0.12707132 0.33496608 0.04328291
           14           15
7  0.00000000 0.000000e+00
8  0.00000000 0.000000e+00
9  0.00000000 0.000000e+00
10 0.00000000 0.000000e+00
11 0.00000000 0.000000e+00
12 0.00000000 0.000000e+00
13 0.00000000 0.000000e+00
14 0.00000000 0.000000e+00
15 0.00000000 0.000000e+00
16 0.00000000 0.000000e+00
17 0.00000000 0.000000e+00
18 0.00000000 0.000000e+00
19 0.00000000 0.000000e+00
20 0.00000000 0.000000e+00
21 0.00000000 0.000000e+00
22 0.00000000 0.000000e+00
23 0.00000000 0.000000e+00
24 0.00000000 0.000000e+00
25 0.00000000 0.000000e+00
26 0.00000000 0.000000e+00
27 0.00000000 0.000000e+00
28 0.00000000 0.000000e+00
29 0.00000000 0.000000e+00
30 0.00000000 0.000000e+00
31 0.00000000 0.000000e+00
32 0.00000000 0.000000e+00
33 0.00000000 0.000000e+00
34 0.00000000 0.000000e+00
35 0.00000000 0.000000e+00
36 0.08784563 0.000000e+00
37 0.00000000 0.000000e+00
38 0.14570287 0.000000e+00
39 0.00000000 0.000000e+00
40 0.00000000 0.000000e+00
41 0.10073507 1.971077e-06

Method: Kimura & Chikuni 
                     Value
ConvergenceThreshold 1e-04
Iterations           10   
Converged            FALSE
           0         1          2         3          4          5         6
7  0.6958245 0.3041755 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
8  0.6544066 0.3455934 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
9  0.6554390 0.3445610 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
10 0.6535474 0.3464526 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
11 0.7323008 0.2676992 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
12 0.6463002 0.3536998 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
13 0.5489010 0.4510990 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
14 0.4379660 0.5620340 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
15 0.6307655 0.3692345 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
16 0.3042060 0.6957940 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
17 0.4282697 0.5098471 0.06188322 0.0000000 0.00000000 0.00000000 0.0000000
18 0.0000000 0.9260433 0.07395668 0.0000000 0.00000000 0.00000000 0.0000000
19 0.1728280 0.4068622 0.29497487 0.1253350 0.00000000 0.00000000 0.0000000
20 0.0000000 0.5841476 0.41585244 0.0000000 0.00000000 0.00000000 0.0000000
21 0.0000000 0.2401840 0.42423728 0.3025934 0.03298536 0.00000000 0.0000000
22 0.0000000 0.2401095 0.42465284 0.3021573 0.03308036 0.00000000 0.0000000
23 0.0000000 0.0000000 0.24759146 0.4274716 0.06585827 0.00000000 0.2590787
24 0.0000000 0.0000000 0.00000000 0.7099853 0.11746927 0.12842475 0.0000000
25 0.0000000 0.0000000 0.18840720 0.6345497 0.11516888 0.06187422 0.0000000
26 0.0000000 0.0000000 0.00000000 0.5429432 0.17256431 0.13947130 0.0000000
27 0.0000000 0.0000000 0.00000000 0.7341563 0.17786593 0.07165312 0.0000000
28 0.0000000 0.0000000 0.00000000 0.2217697 0.05060747 0.41239861 0.2013143
29 0.0000000 0.0000000 0.00000000 0.2654165 0.05722138 0.18844562 0.0000000
30 0.0000000 0.0000000 0.00000000 0.0000000 0.05369700 0.08690413 0.4133656
31 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.3044864
32 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.2732066
33 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.14998883 0.0000000
34 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.5868292
35 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
36 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
37 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
38 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
39 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
40 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
41 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
            7          8         9          10         11           12
7  0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
8  0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
9  0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
10 0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
11 0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
12 0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
13 0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
14 0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
15 0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
16 0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
17 0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
18 0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
19 0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
20 0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
21 0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
22 0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
23 0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
24 0.04412072 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
25 0.00000000 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
26 0.00000000 0.00000000 0.1450212 0.000000000 0.00000000 0.000000e+00
27 0.00000000 0.01632467 0.0000000 0.000000000 0.00000000 0.000000e+00
28 0.11390994 0.00000000 0.0000000 0.000000000 0.00000000 0.000000e+00
29 0.06452729 0.00000000 0.4139431 0.010446083 0.00000000 0.000000e+00
30 0.06034916 0.01962399 0.3627066 0.003353524 0.00000000 2.026387e-10
31 0.00000000 0.10189439 0.5246796 0.008617451 0.06032216 0.000000e+00
32 0.40023076 0.02605364 0.2398674 0.000000000 0.06064158 2.691547e-10
33 0.10378674 0.10069475 0.6340828 0.011446921 0.00000000 3.456871e-10
34 0.00000000 0.14734101 0.0000000 0.033229564 0.23260024 0.000000e+00
35 0.15825645 0.10399561 0.4614528 0.035691828 0.24060327 0.000000e+00
36 0.00000000 0.00000000 0.0000000 0.066376088 0.48262668 1.995328e-09
37 0.00000000 0.20750251 0.0000000 0.071138344 0.72135903 0.000000e+00
38 0.00000000 0.10167557 0.0000000 0.105797535 0.00000000 0.000000e+00
39 0.00000000 0.00000000 0.6962935 0.074407486 0.22929899 4.534619e-09
40 0.00000000 0.15464452 0.4710289 0.041814034 0.33251249 8.519749e-10
41 0.00000000 0.00000000 0.0000000 0.084877699 0.34765438 5.174171e-09
             13        14           15
7  0.000000e+00 0.0000000 0.000000e+00
8  0.000000e+00 0.0000000 0.000000e+00
9  0.000000e+00 0.0000000 0.000000e+00
10 0.000000e+00 0.0000000 0.000000e+00
11 0.000000e+00 0.0000000 0.000000e+00
12 0.000000e+00 0.0000000 0.000000e+00
13 0.000000e+00 0.0000000 0.000000e+00
14 0.000000e+00 0.0000000 0.000000e+00
15 0.000000e+00 0.0000000 0.000000e+00
16 0.000000e+00 0.0000000 0.000000e+00
17 0.000000e+00 0.0000000 0.000000e+00
18 0.000000e+00 0.0000000 0.000000e+00
19 0.000000e+00 0.0000000 0.000000e+00
20 0.000000e+00 0.0000000 0.000000e+00
21 0.000000e+00 0.0000000 0.000000e+00
22 0.000000e+00 0.0000000 0.000000e+00
23 0.000000e+00 0.0000000 0.000000e+00
24 0.000000e+00 0.0000000 0.000000e+00
25 0.000000e+00 0.0000000 0.000000e+00
26 0.000000e+00 0.0000000 0.000000e+00
27 0.000000e+00 0.0000000 0.000000e+00
28 0.000000e+00 0.0000000 0.000000e+00
29 0.000000e+00 0.0000000 0.000000e+00
30 0.000000e+00 0.0000000 0.000000e+00
31 0.000000e+00 0.0000000 0.000000e+00
32 0.000000e+00 0.0000000 0.000000e+00
33 0.000000e+00 0.0000000 0.000000e+00
34 0.000000e+00 0.0000000 0.000000e+00
35 0.000000e+00 0.0000000 0.000000e+00
36 1.098383e-07 0.4509971 0.000000e+00
37 1.183897e-07 0.0000000 0.000000e+00
38 1.176692e-07 0.7925268 0.000000e+00
39 0.000000e+00 0.0000000 0.000000e+00
40 9.379858e-08 0.0000000 0.000000e+00
41 1.898843e-07 0.5674677 4.063329e-97

Method: Hoenig & Heisey 
                     Value
ConvergenceThreshold 1e-04
Iterations           245  
Converged            TRUE 
              0            1            2            3            4
7  9.999999e-01 8.509212e-08 9.980984e-10 8.205526e-15 4.059003e-16
8  9.999980e-01 1.977944e-06 1.092574e-08 9.269287e-14 6.574612e-15
9  9.999667e-01 3.320372e-05 1.080429e-07 1.012163e-12 1.032603e-13
10 9.995966e-01 4.024141e-04 9.648831e-07 1.068031e-11 1.572081e-12
11 9.964797e-01 3.512570e-03 7.763152e-06 1.086423e-10 2.314442e-11
12 9.781409e-01 2.180354e-02 5.556115e-05 1.051913e-09 3.253361e-10
13 9.072961e-01 9.236441e-02 3.394685e-04 9.303634e-09 4.190426e-09
14 7.473841e-01 2.509518e-01 1.664008e-03 7.063977e-08 4.647898e-08
15 5.519368e-01 4.414562e-01 6.606057e-03 4.648079e-07 4.481580e-07
16 4.108260e-01 5.652869e-01 2.387991e-02 2.979872e-06 4.223320e-06
17 3.372943e-01 5.766251e-01 8.601738e-02 2.036953e-05 4.256815e-05
18 2.819469e-01 4.325003e-01 2.849885e-01 1.370404e-04 4.235924e-04
19 1.774725e-01 1.764190e-01 6.423240e-01 6.711172e-04 3.077812e-03
20 7.463514e-02 3.472275e-02 8.737964e-01 2.122627e-03 1.448806e-02
21 2.650131e-02 4.167305e-03 9.066889e-01 5.479457e-03 5.583611e-02
22 8.636087e-03 3.314997e-04 7.800322e-01 1.254885e-02 1.915011e-01
23 2.147258e-03 1.453079e-05 4.625564e-01 2.119652e-02 4.859260e-01
24 3.346613e-04 2.883438e-07 1.553286e-01 2.169483e-02 7.494601e-01
25 3.758483e-05 2.977684e-09 3.395505e-02 1.546716e-02 8.076776e-01
26 3.636076e-06 1.913025e-11 5.776318e-03 9.182375e-03 7.270532e-01
27 3.031844e-07 7.650279e-14 7.651237e-04 4.541819e-03 5.469822e-01
28 1.949667e-08 1.704019e-16 7.061102e-05 1.674794e-03 3.077409e-01
29 8.871921e-10 1.939707e-19 4.165789e-06 4.224478e-04 1.188027e-01
30 2.980423e-11 1.177231e-22 1.639100e-07 7.604396e-05 3.283186e-02
31 8.012680e-13 4.129409e-26 4.662662e-09 1.058944e-05 7.040928e-03
32 1.761591e-14 8.554651e-30 9.798736e-11 1.165696e-06 1.197338e-03
33 3.082432e-16 1.018683e-33 1.480635e-12 9.872702e-08 1.571414e-04
34 4.198978e-18 6.820215e-38 1.573504e-14 6.292525e-09 1.556866e-05
35 4.534457e-20 2.614265e-42 1.197567e-16 3.073424e-10 1.185683e-06
36 4.045452e-22 5.978913e-47 6.802557e-19 1.198828e-11 7.233884e-08
37 3.079426e-24 8.425907e-52 2.978420e-21 3.856816e-13 3.651411e-09
38 2.026695e-26 7.414604e-57 1.018582e-23 1.037036e-14 1.545223e-10
39 1.152909e-28 4.072942e-62 2.720038e-26 2.329828e-16 5.480690e-12
40 5.634904e-31 1.388271e-67 5.637918e-29 4.347256e-18 1.619531e-13
41 2.353456e-33 2.920311e-73 9.021343e-32 6.700569e-20 3.965488e-15
              5            6            7            8            9
7  5.359797e-18 6.402268e-21 2.020887e-18 6.298810e-21 9.615409e-25
8  6.323221e-17 1.634471e-19 1.779202e-17 4.574960e-20 2.366695e-23
9  7.587242e-16 4.045792e-18 1.655420e-16 3.621125e-19 5.938544e-22
10 9.256580e-15 9.706845e-17 1.627258e-15 3.122429e-18 1.518611e-20
11 1.145486e-13 2.251918e-15 1.685859e-14 2.926080e-17 3.948149e-19
12 1.419668e-12 4.987832e-14 1.817557e-13 2.942451e-16 1.030400e-17
13 1.691089e-11 1.012235e-12 1.956958e-12 3.047103e-15 2.590650e-16
14 1.819540e-10 1.768860e-11 1.977583e-11 3.053881e-14 5.897050e-15
15 1.785154e-09 2.686901e-10 1.893438e-10 2.990254e-13 1.226839e-13
16 1.795482e-08 3.988675e-09 1.931091e-09 3.216083e-12 2.622645e-12
17 2.025990e-07 6.332621e-08 2.295881e-08 4.157851e-11 6.304488e-11
18 2.367386e-06 9.925244e-07 2.937079e-07 5.964279e-10 1.573053e-09
19 2.118723e-05 1.135794e-05 2.990195e-06 7.020894e-09 3.013133e-08
20 1.288536e-04 8.419812e-05 2.149535e-05 6.017495e-08 3.931135e-07
21 6.729742e-04 5.109897e-04 1.378839e-04 4.745596e-07 4.414740e-06
22 3.280911e-03 2.759581e-03 8.578685e-04 3.743102e-06 4.638676e-05
23 1.241298e-02 1.102522e-02 4.303855e-03 2.454879e-05 3.791198e-04
24 2.994196e-02 2.677200e-02 1.430412e-02 1.099823e-04 1.980108e-03
25 5.293445e-02 4.542091e-02 3.620452e-02 3.869380e-04 7.597370e-03
26 8.199326e-02 6.436349e-02 8.342384e-02 1.277949e-03 2.559923e-02
27 1.113370e-01 7.622059e-02 1.750989e-01 3.964414e-03 7.579141e-02
28 1.185903e-01 6.749636e-02 2.995496e-01 1.033628e-02 1.764285e-01
29 9.091387e-02 4.100977e-02 3.832392e-01 2.078230e-02 2.962765e-01
30 5.233384e-02 1.783581e-02 3.825485e-01 3.361752e-02 3.744592e-01
31 2.452128e-02 6.019130e-03 3.229649e-01 4.742614e-02 3.861247e-01
32 9.556503e-03 1.610636e-03 2.356480e-01 5.962622e-02 3.319357e-01
33 3.014981e-03 3.325965e-04 1.446258e-01 6.502168e-02 2.315355e-01
34 7.531819e-04 5.184360e-05 7.303010e-02 6.015625e-02 1.281796e-01
35 1.517103e-04 6.211547e-06 3.089597e-02 4.808117e-02 5.734924e-02
36 2.567784e-05 5.961559e-07 1.141233e-02 3.459947e-02 2.161088e-02
37 3.771648e-06 4.733435e-08 3.801195e-03 2.315074e-02 7.083605e-03
38 4.871785e-07 3.150681e-09 1.156896e-03 1.459542e-02 2.046577e-03
39 5.532244e-08 1.757584e-10 3.216391e-04 8.667548e-03 5.210339e-04
40 5.489938e-09 8.167853e-12 8.119709e-05 4.819487e-03 1.161888e-04
41 4.735108e-10 3.145020e-13 1.851197e-05 2.495592e-03 2.257185e-05
             10           11           12           13           14
7  3.482067e-21 2.024162e-23 1.413612e-25 2.501565e-25 2.166190e-26
8  2.209924e-20 1.787360e-22 1.749231e-24 1.321938e-24 1.894079e-25
9  1.549896e-19 1.732162e-21 2.338621e-23 7.906673e-24 1.842985e-24
10 1.200821e-18 1.841792e-20 3.377024e-22 5.350879e-23 1.994957e-23
11 1.025313e-17 2.143480e-19 5.254379e-21 4.087490e-22 2.396539e-22
12 9.526249e-17 2.695940e-18 8.697742e-20 3.479955e-21 3.154713e-21
13 9.242720e-16 3.516722e-17 1.469992e-18 3.168845e-20 4.367016e-20
14 8.800810e-15 4.471320e-16 2.383851e-17 2.900491e-19 5.974367e-19
15 8.302218e-14 5.593796e-15 3.744575e-16 2.693945e-18 8.154264e-18
16 8.723414e-13 7.741465e-14 6.405567e-15 2.854466e-17 1.248348e-16
17 1.117273e-11 1.297014e-12 1.305882e-13 3.776065e-16 2.345871e-15
18 1.610041e-10 2.428265e-11 2.928639e-12 5.756482e-15 4.994762e-14
19 1.930714e-09 3.757294e-10 5.343696e-11 7.479560e-14 8.911805e-13
20 1.709407e-08 4.263102e-09 7.038418e-10 7.349194e-13 1.182226e-11
21 1.412156e-07 4.482397e-08 8.457236e-09 6.900980e-12 1.473607e-10
22 1.183159e-06 4.747262e-07 1.007665e-07 6.731370e-11 1.875961e-09
23 8.358322e-06 4.210330e-06 9.897603e-07 5.670347e-10 2.027767e-08
24 4.090223e-05 2.569010e-05 6.584254e-06 3.388955e-09 1.528980e-07
25 1.593891e-04 1.239720e-04 3.410182e-05 1.651976e-08 9.244984e-07
26 5.912638e-04 5.656105e-04 1.643881e-04 7.851466e-08 5.358693e-06
27 2.089081e-03 2.441109e-03 7.379471e-04 3.640385e-07 2.979202e-05
28 6.290817e-03 8.917833e-03 2.760378e-03 1.473396e-06 1.421530e-04
29 1.481358e-02 2.530215e-02 7.894486e-03 4.776294e-06 5.341342e-04
30 2.845863e-02 5.816761e-02 1.800905e-02 1.293783e-05 1.648856e-03
31 4.835100e-02 1.174538e-01 3.552271e-02 3.174445e-05 4.533045e-03
32 7.423728e-02 2.128644e-01 6.190950e-02 7.209367e-05 1.134121e-02
33 1.002531e-01 3.369945e-01 9.278513e-02 1.474972e-04 2.513190e-02
34 1.164751e-01 4.558549e-01 1.169687e-01 2.659058e-04 4.824892e-02
35 1.185490e-01 5.365183e-01 1.262993e-01 4.301297e-04 8.171778e-02
36 1.101591e-01 5.725654e-01 1.217310e-01 6.506194e-04 1.272449e-01
37 9.651653e-02 5.722017e-01 1.081610e-01 9.504110e-04 1.881310e-01
38 8.079731e-02 5.426398e-01 8.977695e-02 1.358651e-03 2.676279e-01
39 6.460678e-02 4.881855e-01 6.959142e-02 1.900151e-03 3.662059e-01
40 4.905030e-02 4.141572e-01 5.007717e-02 2.584336e-03 4.791141e-01
41 3.516668e-02 3.295310e-01 3.327060e-02 3.399648e-03 5.960953e-01
             15
7  6.066447e-93
8  2.558161e-92
9  1.244987e-91
10 6.990547e-91
11 4.517707e-90
12 3.317956e-89
13 2.657628e-88
14 2.181831e-87
15 1.853340e-86
16 1.831338e-85
17 2.303672e-84
18 3.405151e-83
19 4.374351e-82
20 4.333073e-81
21 4.182599e-80
22 4.276403e-79
23 3.850212e-78
24 2.507848e-77
25 1.358500e-76
26 7.316241e-76
27 3.919458e-75
28 1.868960e-74
29 7.278367e-74
30 2.415055e-73
31 7.401443e-73
32 2.140865e-72
33 5.688264e-72
34 1.357963e-71
35 2.966089e-71
36 6.177273e-71
37 1.266854e-70
38 2.592560e-70
39 5.292675e-70
40 1.071427e-69
41 2.139118e-69

Method: Gascuel 
                     Value     
ConvergenceThreshold 1e-04     
alpha                0.112751  
beta                 0.07044978
gamma                0.05807639
Converged            TRUE      

ALKr documentation built on May 30, 2017, 7:42 a.m.