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LMMstar
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.LMMstar . https://github.com/bozenne/LMMstar/issues . https://github.com/bozenne/LMMstar . LMMstar citation info . LMMstar results . LMMstar.pdf . LMMstar: overview . LMMstar: partial residuals . LMMstar_1.1.0.tar.gz . LMMstar_1.1.0.zip . LMMstar_1.1.0.zip . LMMstar_1.1.0.zip . LMMstar_1.1.0.tgz . LMMstar_1.1.0.tgz . LMMstar_1.1.0.tgz . LMMstar_1.1.0.tgz . LMMstar_1.1.0.tgz . LMMstar_1.1.0.tgz . LMMstar archive . https://CRAN.R-project.org/package=LMMstar .
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 07 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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