SMNlmec: Scale Mixture of Normal Distribution in Linear Mixed-Effects Model

Bayesian analysis of censored linear mixed-effects models that replace Gaussian assumptions with a flexible class of distributions, such as the scale mixture of normal family distributions, considering a damped exponential correlation structure which was employed to account for within-subject autocorrelation among irregularly observed measures. For more details, see Zhong et al. (2025, forthcoming in Statistics in Medicine).

Version: 0.1.0
Depends: R (≥ 4.2)
Imports: rstan (≥ 2.26.23), StanHeaders (≥ 2.26.28), MASS (≥ 7.3-60), tmvtnorm (≥ 1.5), mvtnorm (≥ 1.2-3), mnormt (≥ 2.1.1), methods, stats, LaplacesDemon (≥ 16.1.6), TruncatedNormal (≥ 2.2.2), numDeriv (≥ 2016.8-1.1)
Published: 2024-11-26
Author: Kelin Zhong [aut, cre], Fernanda L. Schumacher [aut], Luis M. Castro [aut], Victor H. Lachos [aut], Jalmar M.F. Carrasco [aut]
Maintainer: Kelin Zhong <kelin.zhong at uconn.edu>
BugReports: https://github.com/KelinZhong/SMNlmec/issues
License: GPL-3
URL: https://github.com/KelinZhong/SMNlmec
NeedsCompilation: no
CRAN checks: SMNlmec results

Documentation:

Reference manual: SMNlmec.pdf

Downloads:

Package source: SMNlmec_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

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