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LMMstar  

Repeated Measurement Models for Discrete Times
View on CRAN: Click here


Download and install LMMstar package within the R console
Install from CRAN:
install.packages("LMMstar")

Install from Github:
library("remotes")
install_github("cran/LMMstar")

Install by package version:
library("remotes")
install_version("LMMstar", "1.1.0")



Attach the package and use:
library("LMMstar")
Maintained by
Brice Ozenne
[Scholar Profile | Author Map]
First Published: 2021-10-05
Latest Update: 2024-01-11
Description:
Companion R package for the course "Statistical analysis of correlated and repeated measurements for health science researchers" taught by the section of Biostatistics of the University of Copenhagen. It implements linear mixed models where the model for the variance-covariance of the residuals is specified via patterns (compound symmetry, toeplitz, unstructured, ...). Statistical inference for mean, variance, and correlation parameters is performed based on the observed information and a Satterthwaite approximation of the degrees of freedom. Normalized residuals are provided to assess model misspecification. Statistical inference can be performed for arbitrary linear or non-linear combination(s) of model coefficients. Predictions can be computed conditional to covariates only or also to outcome values.
How to cite:
Brice Ozenne (2021). LMMstar: Repeated Measurement Models for Discrete Times. R package version 1.1.0, https://cran.r-project.org/web/packages/LMMstar. Accessed 30 Apr. 2025.
Previous versions and publish date:
0.3.2 (2021-10-05 10:30), 0.3.3 (2021-10-17 22:00), 0.4.0 (2021-11-05 01:20), 0.4.3 (2021-12-19 19:42), 0.4.4 (2022-01-03 12:10), 0.5.2 (2022-03-06 11:50), 0.5.4 (2022-03-17 10:40), 0.7.2 (2022-06-03 09:10), 0.7.6 (2022-08-31 15:40), 0.8.10 (2023-01-06 23:00), 0.9.0 (2023-03-08 15:30), 1.0.0 (2023-11-08 20:00), 1.0.1 (2024-01-11 22:20)
Other packages that cited LMMstar R package
View LMMstar citation profile
Other R packages that LMMstar depends, imports, suggests or enhances
Complete documentation for LMMstar
Functions, R codes and Examples using the LMMstar R package
Some associated functions: CS . CUSTOM . EXP . ID . IND . LMMstar-package . LMMstar.options . LMMstar2emmeans . TOEPLITZ . UN . add . anova.lmm . autoplot.Wald_lmm . autoplot.lmm . autoplot.partialCor . autoplot.summarizeNA . baselineAdjustment . coef.lmm . confint.Wald_lmm . confint.lmm . confint.mlmm . data-abetaL . data-abetaW . data-blandAltmanL . data-blandAltmanW . data-bloodpressureL . data-calciumL . data-calciumW . data-ckdL . data-ckdW . data-gastricbypassL . data-gastricbypassW . data-ncgsL . data-ncgsW . data-potassiumRepeatedL . data-potassiumSingleL . data-potassiumSingleW . data-schoolL . data-swabsL . data-swabsW . data-vasscoresL . data-vasscoresW . data-vitaminL . data-vitaminW . df.residual.lmm . dummy.coef.lmm . estfun.lmm . estimate.lmm . fitted.lmm . getVarCov.lmm . iid.lmm . information.lmm . levels.lmm . lmm . logLik.lmm . manifest.lmm . mlmm . model.tables.lmm . partialCor . plot.lmm . predict.lmm . profile.lmm . proportion . rbind.Wald_lmm . remove . resample . residuals.lmm . sampleRem . score.lmm . sigma.lmm . summarize . summarizeNA . summary.Wald_lmm . summary.lmm . summary.mlmm . summary.partialCor . terms.lmm . vcov.lmm . weights.Wald_lmm . 
Some associated R codes: 0-onload.R . LMMstar-package.R . LMMstar.options.R . add.R . anova.R . autoplot.R . backtransform.R . baselineAdjustment.R . coef.R . confint.R . constrain.R . df.R . doc-data.R . dummy.coef.R . emmeans.R . estimate.R . findPatterns.R . fitted.R . formula.R . iid.R . information.R . levels.R . lmm.R . logLik.R . manifest.R . mlmm.R . model.frame.R . model.matrix.R . model.tables.R . moments.R . multcomp.R . nobs.R . partialCor.R . plot.R . precompute.R . predict.R . print.R . profile.R . proportion.R . ranef.R . rbind.R . remove.R . reparametrize.R . resample.R . residuals.R . sampleRem.R . score.R . sigma.R . structure-calc_Omega.R . structure-calc_d2Omega.R . structure-calc_dOmega.R . structure-initialization.R . structure-skeleton.R . structure.R . summarize.R . summarizeNA.R . summary.R . terms.R . unorderedPairs.R . utils.R . vcov.R . weights.R .  Full LMMstar package functions and examples
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