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ARpLMEC: Censored Mixed-Effects Models with Different Correlation Structures

Left, right or interval censored mixed-effects linear model with autoregressive errors of order p or DEC correlation structure using the type-EM algorithm. The error distribution can be Normal or t-Student. It provides the parameter estimates, the standard errors and prediction of future observations (available only for the normal case). Olivari et all (2021) <doi:10.1080/10543406.2020.1852246>.

Version: 2.4.1
Depends: R (≥ 2.14)
Imports: numDeriv, stats, MASS, mnormt, tcltk, expm, relliptical, TruncatedNormal, LaplacesDemon
Published: 2022-06-26
Author: Rommy C. Olivari, Kelin Zhong, Aldo M. Garay and Victor H. Lachos
Maintainer: Rommy C. Olivari <rco1 at de.ufpe.br>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: MixedModels
CRAN checks: ARpLMEC results

Documentation:

Reference manual: ARpLMEC.pdf

Downloads:

Package source: ARpLMEC_2.4.1.tar.gz
Windows binaries: r-devel: ARpLMEC_2.4.1.zip, r-release: ARpLMEC_2.4.1.zip, r-oldrel: ARpLMEC_2.4.1.zip
macOS binaries: r-release (arm64): ARpLMEC_2.4.1.tgz, r-oldrel (arm64): ARpLMEC_2.4.1.tgz, r-release (x86_64): ARpLMEC_2.4.1.tgz, r-oldrel (x86_64): ARpLMEC_2.4.1.tgz
Old sources: ARpLMEC archive

Linking:

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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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