Package: predint 2.2.1.9000

predint: Prediction Intervals

An implementation of prediction intervals for overdispersed count data, for overdispersed binomial data and for linear random effects models.

Authors:Max Menssen [aut, cre]

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predint.pdf |predint.html✨
predint/json (API)
NEWS

# Install 'predint' in R:
install.packages('predint', repos = c('https://maxmenssen.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/maxmenssen/predint/issues

Datasets:

On CRAN:

3.00 score 4 scripts 381 downloads 21 exports 34 dependencies

Last updated 5 days agofrom:c51530d16f. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 18 2024
R-4.5-winERRORNov 18 2024
R-4.5-linuxERRORNov 18 2024
R-4.4-winERRORNov 18 2024
R-4.4-macERRORNov 18 2024
R-4.3-winERRORNov 18 2024
R-4.3-macERRORNov 18 2024

Exports:bb_pibeta_bin_pibisectionboot_predintlmer_bslmer_pilmer_pi_futmatlmer_pi_futveclmer_pi_unstrucnb_pineg_bin_pinormal_pipi_rho_estqb_piqp_piquasi_bin_piquasi_pois_pirbbinomrnbinomrqbinomrqpois

Dependencies:bootclicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixmgcvminqamunsellnlmenloptrpillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalestibbleutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Historical numbers of revertant colonies in the Ames test (OECD 471)ames_HCD
Store prediction intervals or limits as a 'data.frame'as.data.frame.predint
Beta-binomial data (example 1)bb_dat1
Beta-binomial data (example 2)bb_dat2
Simple uncalibrated prediction intervals for beta-binomial databb_pi
Prediction intervals for beta-binomial databeta_bin_pi
Bisection algorithm for bootstrap calibration of prediction intervalsbisection
Bootstrap new data from uncalibrated prediction intervalsboot_predint
Cross-classified data (example 1)c2_dat1
Cross-classified data (example 2)c2_dat2
Cross-classified data (example 3)c2_dat3
Cross-classified data (example 4)c2_dat4
Sampling of bootstrap data from a given random effects modellmer_bs
Prediction intervals for future observations based on linear random effects models (DEPRECATED)lmer_pi
Prediction intervals for future observations based on linear random effects modelslmer_pi_futmat
Prediction intervals for future observations based on linear random effects modelslmer_pi_futvec
Prediction intervals for future observations based on linear random effects modelslmer_pi_unstruc
Historical mortality of male B6C3F1-micemortality_HCD
Simple uncalibrated prediction intervals for negative-binomial datanb_pi
Prediction intervals for negative-binomial dataneg_bin_pi
Simple uncalibrated prediction intervals for normal distributed datanormal_pi
Estimation of the binomial proportion and the intra class correlation.pi_rho_est
Plots of 'predint' objectsplot.predint
Print objects of class 'predint'print.predint
Quasi-binomial data (example 1)qb_dat1
Quasi-binomial data (example 2)qb_dat2
Simple uncalibrated prediction intervals for quasi-binomial dataqb_pi
Quasi-Poisson data (example 1)qp_dat1
Quasi-Poisson data (example 2)qp_dat2
Simple uncalibrated prediction intervals for quasi-Poisson dataqp_pi
Prediction intervals for quasi-binomial dataquasi_bin_pi
Prediction intervals for quasi-Poisson dataquasi_pois_pi
Sampling of beta-binomial datarbbinom
Sampling of negative binomial datarnbinom
Sampling of overdispersed binomial data with constant overdispersionrqbinom
Sampling of overdispersed Poisson data with constant overdispersionrqpois
Summarizing objects of class 'predint'summary.predint