Package: predint 2.3.0.9000

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]

predint_2.3.0.9000.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
predint/json (API)

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

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

Datasets:

On CRAN:

Conda:

2.70 score 4 scripts 720 downloads 21 exports 30 dependencies

Last updated from:9801962872. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING266
source / vignettesOK176
linux-releaseWARNING198
macos-releaseWARNING248
macos-oldrelWARNING187
windows-develWARNING190
windows-releaseWARNING111
windows-oldrelWARNING171
wasm-releaseOK94

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:bootclicpp11farverggplot2gluegtableisobandlabelinglatticelifecyclelme4MASSMatrixminqanlmenloptrR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangS7scalesvctrsviridisLitewithr

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