Package: arm 1.14-4

arm: Data Analysis Using Regression and Multilevel/Hierarchical Models

Functions to accompany A. Gelman and J. Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press, 2007.

Authors:Andrew Gelman [aut], Yu-Sung Su [aut, cre], Masanao Yajima [ctb], Jennifer Hill [ctb], Maria Grazia Pittau [ctb], Jouni Kerman [ctb], Tian Zheng [ctb], Vincent Dorie [ctb]

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arm.pdf |arm.html
arm/json (API)

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

Peer review:

Bug tracker:https://github.com/suyusung/arm/issues

Datasets:

On CRAN:

38 exports 22 stars 7.58 score 12 dependencies 87 dependents 82 mentions 2.3k scripts 27.4k downloads

Last updated 6 months agofrom:f50e07a940. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 29 2024
R-4.5-winNOTEAug 29 2024
R-4.5-linuxNOTEAug 29 2024
R-4.4-winNOTEAug 29 2024
R-4.4-macNOTEAug 29 2024
R-4.3-winNOTEAug 29 2024
R-4.3-macNOTEAug 29 2024

Exports:balancebayesglmbayesglm.fitbayespolrbinned.residsbinnedplotcoefplotcoefplot.defaultcontr.bayes.orderedcontr.bayes.unorderedcorrplotdiscrete.histdiscrete.histogramdisplayextractDICfroundGgoinvlogitlogitmatchingmcplotmcsampmodel.matrixBayesmulticomp.plotpfroundread.columnsrescaleresidual.plotse.coefse.fixefse.ranefshowsigma.hatsimstandardizetraceplottriangleplot

Dependencies:abindbootcodalatticelme4MASSMatrixminqanlmenloptrRcppRcppEigen

Readme and manuals

Help Manual

Help pageTopics
Functions to compute the balance statisticsbalance balance-class plot.balance print.balance
Bayesian generalized linear models.bayesglm bayesglm-class bayesglm.fit predict.bayesglm print,bayesglm-method show,bayesglm-method
Bayesian Ordered Logistic or Probit Regressionbayespolr bayespolr-class print,bayespolr-method show,bayespolr-method
Binned Residual Plotbinned.resids binnedplot
Generic Function for Making Coefficient Plotcoefplot coefplot,bugs-method coefplot,glm-method coefplot,lm-method coefplot,numeric-method coefplot,polr-method coefplot.default
Contrast Matricescontr.bayes.ordered contr.bayes.unordered
Correlation Plotcorrplot
Histogram for Discrete Distributionsdiscrete.hist discrete.histogram
Functions for Processing lm, glm, mer, polr and svyglm Outputdisplay display,bayesglm-method display,glm-method display,lm-method display,merMod-method display,polr-method display,svyglm-method
Extract AIC and DIC from a 'mer' modelextractAIC.merMod extractDIC extractDIC.merMod
Formating the Rounding of Numbersfround pfround
Function to Recall Last Source FileG go GO-class
Logistic and Inverse logistic functionsinvlogit logit
Lalonde Datasetlalonde
Single Nearest Neighborhood Matchingmatching
Generic Function to Run 'mcmcsamp()' in lme4mcsamp mcsamp,merMod-method mcsamp.default
Construct Design Matricesmodel.matrixBayes
Multiple Comparison Plotmcplot multicomp.plot
Function to read data by columnsread.columns
Function for Standardizing by Centering and Dividing by 2 sd'srescale
residual plot for the observed valuesresidual.plot
Extract Standard Errors of Model Coefficientsse.coef se.coef,glm-method se.coef,lm-method se.coef,merMod-method se.fixef se.ranef
Extract Residual Errorssigma.hat sigma.hat.glm sigma.hat.lm sigma.hat.merMod sigma.hat.sim sigma.hat.sim.merMod
Functions to Get Posterior Distributionscoef.sim coef.sim.merMod coef.sim.polr fitted.sim.merMod fixef.sim.merMod ranef.sim.merMod sim sim,glm-method sim,lm-method sim,merMod-method sim,polr-method sim-class sim.merMod-class
Function for Standardizing Regression Predictors by Centering and Dividing by 2 sd'sstandardize standardize,glm-method standardize,lm-method standardize,merMod-method standardize,polr-method
Trace plot of 'bugs' objecttraceplot traceplot,bugs-method traceplot,mcmc.list-method traceplot.default
Triangle Plottriangleplot