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bild (version 1.2-1)

A Package for BInary Longitudinal Data

Description

Performs logistic regression for binary longitudinal data, allowing for serial dependence among observations from a given individual and a random intercept term. Estimation is via maximization of the exact likelihood of a suitably defined model. Missing values and unbalanced data are allowed, with some restrictions. M. Helena Goncalves et al.(2007) .

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Version

Install

install.packages('bild')

Monthly Downloads

283

Version

1.2-1

License

GPL (>= 2)

Maintainer

M Helena Gonalves

Last Published

November 3rd, 2023

Functions in bild (1.2-1)

getvcov

Extract variance-covariance matrix
locust

Locust
randeff-methods

Methods for function randeff
vareff-methods

Methods for function vareff
summary.bild-class

Class "summary.bild", Summary of "bild" Objects
randeff

Extract conditional random effects
summary-methods

Methods for Function summary in Package "bild"
show-methods

Methods for function show in package "bild"
model.mat-methods

Methods for function model.mat
model.mat

Extract the fixed effects model matrix
muscatine

Muscatine
plot-methods

Methods for Function plot in Package "bild"
vareff

Extract variance of random effects
airpollution

Air Pollution
bild-internal

Internal functions
bildIntegrate

Auxiliary for Controlling "bild" Fitting
anova-methods

Methods for Function anova in Package "bild"
fixeff-methods

Methods for function fixeff
fixeff

Extract fixed effects estimates
bild-class

Class "bild" for Results of a Maximum Likelihood Estimation
bild-package

A Package for BInary Longitudinal Data
fitted-methods

Methods for function fitted
bildControl

Auxiliary for Controlling "bild" Fitting
bild

Fit of Parametric Models for Binary Longitudinal Data via Likelihood Method
getAIC-methods

Extract the Akaike Information Criterion
getvcov-methods

Methods for function getvcov
getLogLik

Extract Log-Likelihood
getcoef

Extract the coefficient estimates
getcoef-methods

Methods for function getcoef
getLogLik-methods

Extract Log-Likelihood
getAIC

Extract the Akaike Information Criterion