{"name":"lk_obs","title":"Compute the observable log-likelihood of the basic LM model","pagetitle":"Compute the observable log-likelihood of the basic LM model — lk_obs","aliases":"lk_obs","author":"Francesco Bartolucci, Silvia Pandolfi, University of Perugia (IT), http://www.stat.unipg.it/bartolucci","keywords":[],"description":"

Function that computes the observable log-likelihood of the basic LM model (internal use).

","usage":"lk_obs(th, m, Bm, Cm, bv, k, S, R, yv, TT, r, mod)","arguments":[{"name":"th","description":"

vector of parameters

"},{"name":"m","description":"

list of design matrices for the logits

"},{"name":"Bm","description":"

design matrix for the logits

"},{"name":"Cm","description":"

design matrix for the logits

"},{"name":"bv","description":"

number of response categories

"},{"name":"k","description":"

number of states

"},{"name":"S","description":"

matrix of distinct response configurations

"},{"name":"R","description":"

matrix of missing response configurations

"},{"name":"yv","description":"

corresponding vector of frequencies

"},{"name":"TT","description":"

number of times occasions

"},{"name":"r","description":"

number of response variabels

"},{"name":"mod","description":"

type of model

"}],"has_args":true,"sections":[],"value":"

log-likelihood

score vector

\n","package":{"package":"LMest","version":"2.4.5"}}

Description

Usage

Arguments

Value