Prediction Intervals

Documentation for package ‘predint’ version 1.1.1

bb_dat1	Beta-binomial data (example 1)
bb_dat2	Beta-binomial data (example 2)
beta_bin_pi	Prediction intervals for beta-binomial data
c2_dat1	Cross-classified data (example 1)
c2_dat2	Cross-classified data (example 2)
c2_dat3	Cross-classified data (example 3)
c2_dat4	Cross-classified data (example 4)
lmer_bs	Sampling of bootstrap data from a given random effects model fit with 'lme4::lmer()'
lmer_pi	Prediction intervals for future observations based on linear random effects models
lmer_pi_futmat	Prediction intervals for future observations based on linear random effects models
lmer_pi_futvec	Prediction intervals for future observations based on linear random effects models
lmer_pi_unstruc	Prediction intervals for future observations based on linear random effects models
pi_rho_est	Estimation of the binomial proportion and the intra class correlation.
qb_dat1	Quasi-binomial data (example 1)
qb_dat2	Quasi-binomial data (example 2)
qp_dat1	Quasi-Poisson data (example 1)
qp_dat2	Quasi-Poisson data (example 2)
quasi_bin_pi	Prediction intervals for quasi-binomial data
quasi_pois_pi	Prediction intervals for quasi-poisson data
rbbinom	Sampling of beta-binomial data
rqbinom	Sampling of overdispersed binomial data with constant overdispersion
rqpois	Sampling of overdispersed poisson data with constant overdispersion