REML-type estimation for GLMMs

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Documentation for package ‘glmmREML’ version 0.24

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grad.beta.logit1 Logistic regression with random intercepts.
grad.beta.logit2 Logistic regression with random intercepts and slopes.
grad.beta.nb Poisson and negative binomial regression with random intercepts.
grad.beta.pois Poisson and negative binomial regression with random intercepts.
grad.beta.tp Two-part models with correlated random effects.
grad.logit1 Logistic regression with random intercepts.
headache Headache data
lik.beta.logit1 Logistic regression with random intercepts.
lik.beta.logit2 Logistic regression with random intercepts and slopes.
lik.beta.nb Poisson and negative binomial regression with random intercepts.
lik.beta.pois Poisson and negative binomial regression with random intercepts.
lik.beta.tp Two-part models with correlated random effects.
lik.logit1 Logistic regression with random intercepts.
lik.logit2 Logistic regression with random intercepts and slopes.
lik.nb Poisson and negative binomial regression with random intercepts.
lik.pois Poisson and negative binomial regression with random intercepts.
lik.tp Two-part models with correlated random effects.
multicenter Multicenter data
prof.logit1 Logistic regression with random intercepts.
prof.logit2 Logistic regression with random intercepts and slopes.
prof.nb Poisson and negative binomial regression with random intercepts.
prof.pois Poisson and negative binomial regression with random intercepts.
prof.tp Two-part models with correlated random effects.
reml.logit1 Logistic regression with random intercepts.
reml.logit2 Logistic regression with random intercepts and slopes.
reml.nb Poisson and negative binomial regression with random intercepts.
reml.pois Poisson and negative binomial regression with random intercepts.
reml.tp Two-part models with correlated random effects.
tpdata Two-part example data