dprime_func_self {ForLion} | R Documentation |
function to calculate du/dx in the gradient of d(x, Xi), will be used in ForLion_MLM_func() function, details see Appendix C in Huang, Li, Mandal, Yang (2024)
Description
function to calculate du/dx in the gradient of d(x, Xi), will be used in ForLion_MLM_func() function, details see Appendix C in Huang, Li, Mandal, Yang (2024)
Usage
dprime_func_self(
xi,
bvec,
h.func,
h.prime,
inv.F.mat,
Ux,
link = "continuation",
k.continuous
)
Arguments
xi |
a vector of design point |
bvec |
parameter of the multinomial logistic regression model |
h.func |
function, is used to transfer xi to model matrix (e.g. add interaction term, add intercept) |
h.prime |
function, is used to find dX/dx |
inv.F.mat |
inverse of F_Xi matrix, inverse of fisher information of current design w/o new point |
Ux |
U_x matrix in the algorithm, get from Fi_MLM_func() function |
link |
multinomial link function, default is"continuation", other choices "baseline", "cumulative", and "adjacent" |
k.continuous |
number of continuous factors |
Value
dU/dx in the gradient of sensitivity function d(x, Xi)
[Package ForLion version 0.3.0 Index]