Prediction Intervals
Store prediction intervals or limits as a data.frame
Simple uncalibrated prediction intervals for beta-binomial data
Prediction intervals for beta-binomial data
Bisection algorithm for bootstrap calibration of prediction intervals
Bootstrap new data from uncalibrated prediction intervals
Sampling of bootstrap data from a given random effects model
Prediction intervals for future observations based on linear random ef...
Prediction intervals for future observations based on linear random ef...
Prediction intervals for future observations based on linear random ef...
Prediction intervals for future observations based on linear random ef...
Simple uncalibrated prediction intervals for negative-binomial data
Prediction intervals for negative-binomial data
Simple uncalibrated prediction intervals for normal distributed data
Estimation of the binomial proportion and the intra class correlation.
Plots of predint objects
Print objects of class predint
Simple uncalibrated prediction intervals for quasi-binomial data
Simple uncalibrated prediction intervals for quasi-Poisson data
Prediction intervals for quasi-binomial data
Prediction intervals for quasi-Poisson data
Sampling of beta-binomial data
Sampling of negative binomial data
Sampling of overdispersed binomial data with constant overdispersion
Sampling of overdispersed Poisson data with constant overdispersion
Summarizing objects of class predint
An implementation of prediction intervals for overdispersed count data, for overdispersed binomial data and for linear random effects models.