Package: repeated 1.1.8

repeated: Non-Normal Repeated Measurements Models

Various functions to fit models for non-normal repeated measurements, such as Binary Random Effects Models with Two Levels of Nesting, Bivariate Beta-binomial Regression Models, Marginal Bivariate Binomial Regression Models, Cormack capture-recapture models, Continuous-time Hidden Markov Chain Models, Discrete-time Hidden Markov Chain Models, Changepoint Location Models using a Continuous-time Two-state Hidden Markov Chain, generalized nonlinear autoregression models, multivariate Gaussian copula models, generalized non-linear mixed models with one random effect, generalized non-linear mixed models using h-likelihood for one random effect, Repeated Measurements Models for Counts with Frailty or Serial Dependence, Repeated Measurements Models for Continuous Variables with Frailty or Serial Dependence, Ordinal Random Effects Models with Dropouts, marginal homogeneity models for square contingency tables, correlated negative binomial models with Kalman update. References include Lindsey's text books, JK Lindsey (2001) <isbn:10-0198508123> and JK Lindsey (1999) <isbn:10-0198505590>.

Authors:Bruce Swihart [cre, aut], Jim Lindsey [aut], T.R. Ten Have [ctb, cph], Richard Cook [ctb, cph], Iain MacDonald [ctb, cph], Walter Zucchini [ctb, cph], Burton Garbow [ctb, cph], Euginia Zharichenko [ctb, cph]

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repeated.pdf |repeated.html
repeated/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/swihart/repeated/issues

On CRAN:

21 exports 1.28 score 1 dependencies 2 mentions 31 scripts 595 downloads

Last updated 3 months agofrom:a727a4cdb0. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-win-x86_64OKSep 12 2024
R-4.5-linux-x86_64OKSep 12 2024
R-4.4-win-x86_64OKSep 12 2024
R-4.4-mac-x86_64OKSep 12 2024
R-4.4-mac-aarch64OKSep 12 2024
R-4.3-win-x86_64OKSep 12 2024
R-4.3-mac-x86_64OKSep 12 2024
R-4.3-mac-aarch64OKSep 12 2024

Exports:binnestbiv.betabbiv.binomcapturecatmisschiddencphiddengargausscopglmmgnlmixgnlmmgnlmm3hiddenhnlmixkalcountkalseriesmarg.homnbkalsetupvolatility

Dependencies:rmutil

Readme and manuals

Help Manual

Help pageTopics
Binary Random Effects Models with Two Levels of Nestingbinnest
Bivariate Beta-binomial Regression Modelsbiv.betab
Marginal Bivariate Binomial Regression Modelsbiv.binom
Capture-recapture Modelscapture setup
Marginal Probabilities for Categorical Repeated Measurements with Missing Datacatmiss
Continuous-time Hidden Markov Chain Modelschidden
Changepoint Location using a Continuous-time Two-state Hidden Markov Chaincphidden
Generalized Autoregression Modelsdeviance.gar fitted.gar gar print.gar residuals.gar volatility volatility.gar
Multivariate Gaussian Copula with Arbitrary Marginalsdeviance.gausscop fitted.gausscop gausscop print.gausscop residuals.gausscop
Generalized Linear Mixed Modelsglmm
Generalized Nonlinear Regression with a Random Parametergnlmix
Generalized Nonlinear Mixed Modelsgnlmm
Generalized Nonlinear Mixed Models for Three-parameter Distributionsgnlmm3
Discrete-time Hidden Markov Chain Modelshidden plot.hidden
Generalized Nonlinear Regression using h-likelihood for a Random Parameterdeviance.hnlm fitted.hnlm hnlmix print.hnlm residuals.hnlm
Repeated Measurements Models for Counts with Frailty or Serial Dependencedeviance.kalcount fitted.kalcount kalcount print.kalcount residuals.kalcount
Repeated Measurements Models for Continuous Variables with Frailty or Serial Dependencedeviance.kalseries fitted.kalseries kalseries print.kalseries residuals.kalseries
Marginal Homogeneity Modelsmarg.hom print.marginal
Negative Binomial Models with Kalman Updatenbkal print.nbkal