gev_p123_ldd {fitdistcp} | R Documentation |
Second derivative matrix of the normalized log-likelihood
Description
Second derivative matrix of the normalized log-likelihood
Usage
gev_p123_ldd(x, t1, t2, t3, v1, d1, v2, d2, v3, d3, v4, d4, v5, d5, v6, d6)
Arguments
x |
a vector of training data values |
t1 |
a vector of predictors for the mean |
t2 |
a vector of predictors for the sd |
t3 |
a vector of predictors for the shape |
v1 |
first parameter |
d1 |
the delta used in the numerical derivatives with respect to the parameter |
v2 |
second parameter |
d2 |
the delta used in the numerical derivatives with respect to the parameter |
v3 |
third parameter |
d3 |
the delta used in the numerical derivatives with respect to the parameter |
v4 |
fourth parameter |
d4 |
the delta used in the numerical derivatives with respect to the parameter |
v5 |
fifth parameter |
d5 |
the delta used in the numerical derivatives with respect to the parameter |
v6 |
sixth parameter |
d6 |
the delta used in the numerical derivatives with respect to the parameter |
Value
Square scalar matrix
[Package fitdistcp version 0.1.1 Index]