Last chance! 50% off unlimited learning
Sale ends in
The function performs maximum likelihood estimation of the multilogit model (internal function).
est_multilogit(Y, Xdis, label = 1:n, be = NULL, Pdis = NULL, dis = FALSE,
fort = TRUE, ex = FALSE)matrix of all responses
array of all covariates (two- or three-dimensional)
label associated to every covariate configuration
initial value of the parameter vector
probability configurations as initial values
to display partial results
to use fortran routines when possible
TRUE if the function exits without running the estimation algorithm providing the score vector and the information matrix
estimated vector regression coefficients
estimated matrix of probabilities
estimated matrix of distinct probabilities
score vector
information matrix