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 |
| DOI: |
10.32614/CRAN.package.SMNlmec |
| 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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=SMNlmec
to link to this page.