Confidence or Prediction Intervals, Quantiles, and Probabilities for Statistical Models

Functions to append confidence intervals, prediction intervals, and other quantities of interest to data frames. All appended quantities are for the response variable, after conditioning on the model and covariates. This package has a data frame first syntax that allows for easy piping. Currently supported models include (log-) linear, (log-) linear mixed, generalized linear models, generalized linear mixed models, and accelerated failure time models.


Reference manual

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0.6.1 by John Haman, a year ago

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Authors: John Haman [cre, aut] , Matthew Avery [aut] , Institute for Defense Analyses [cph]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports arm, boot, dplyr, lme4, MASS, methods, stats, survival, utils

Suggests here, ggplot2, knitr, rmarkdown, SPREDA

Imported by insurancerating, trending.

See at CRAN