MLCIRTwithin (version 1.1)

inv_glob: Invert marginal logits

Description

Function used within est_multi_glob to invert marginal logits and fit the marginal regression model; this is an internal function.

Usage

inv_glob(eta, type = "g", der = F)

Arguments

eta

vector of logits

type

type of logit (l = local-logits, g = global-logits)

der

indicator that the derivative of the canonical parameters with respect to the vector of marginal logits is required (F = not required, T = required)

Value

p

vector of probabilities

D

derivative of the canonical parameters with respect to the vector of marginal logits (if der = T)

References

Colombi, R. and Forcina, A. (2001), Marginal regression models for the analysis of positive association of ordinal response variables, Biometrika, 88, 1007-1019.

Glonek, G. F. V. and McCullagh, P. (1995), Multivariate logistic models, Journal of the Royal Statistical Society, Series B, 57, 533-546.