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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.
Version: | 1.1.0 |
Depends: | R (≥ 3.5.0) |
Imports: | copula, doParallel, foreach, ggplot2, grid, lava, Matrix, multcomp, nlme, numDeriv, parallel, rlang |
Suggests: | asht, data.table, ggh4x, ggpubr, lattice, mvtnorm, lme4, lmerTest, mice, nlmeU, optimx, pbapply, psych, Publish, qqtest, R.rsp, reshape2, rmcorr, scales, testthat |
Published: | 2024-05-12 |
DOI: | 10.32614/CRAN.package.LMMstar |
Author: | Brice Ozenne |
Maintainer: | Brice Ozenne <brice.mh.ozenne at gmail.com> |
BugReports: | https://github.com/bozenne/LMMstar/issues |
License: | GPL-3 |
URL: | https://github.com/bozenne/LMMstar |
NeedsCompilation: | no |
Citation: | LMMstar citation info |
Materials: | NEWS |
CRAN checks: | LMMstar results |
Reference manual: | LMMstar.pdf |
Vignettes: |
LMMstar: overview LMMstar: partial residuals |
Package source: | LMMstar_1.1.0.tar.gz |
Windows binaries: | r-devel: LMMstar_1.1.0.zip, r-release: LMMstar_1.1.0.zip, r-oldrel: LMMstar_1.1.0.zip |
macOS binaries: | r-release (arm64): LMMstar_1.1.0.tgz, r-oldrel (arm64): LMMstar_1.1.0.tgz, r-release (x86_64): LMMstar_1.1.0.tgz, r-oldrel (x86_64): LMMstar_1.1.0.tgz |
Old sources: | LMMstar archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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