aplms: Additive Partial Linear Models with Symmetric Autoregressive Errors

Set of tools for fitting the additive partial linear models with symmetric autoregressive errors of order p, or APLMS-AR(p). This setup enables the modeling of a time series response variable using linear and nonlinear structures of a set of explanatory variables, with nonparametric components approximated by natural cubic splines or P-splines. It also accounts for autoregressive error terms with distributions that have lighter or heavier tails than the normal distribution. The package includes various error distributions, such as normal, generalized normal, Student's t, generalized Student's t, power-exponential, and Cauchy distributions. Chou-Chen, S.W., Oliveira, R.A., Raicher, I., Gilberto A. Paula (2024) <doi:10.1007/s00362-024-01590-w>.

Version:	0.1.0
Depends:	R (≥ 3.5.0), mgcv
Imports:	MASS, Matrix, rlist, stats, methods, psych, rmutil
Suggests:	testthat (≥ 3.0.0)
Published:	2025-11-07
DOI:	10.32614/CRAN.package.aplms
Author:	Shu Wei Chou-Chen [aut, cre, cph], Rodrigo A. Oliveira [aut], Gilberto A. Paula [aut], Sebastian Sanchez Sandi [ctb]
Maintainer:	Shu Wei Chou-Chen <shuwei.chou at ucr.ac.cr>
BugReports:	https://github.com/shuwei325/aplms/issues
License:	GPL-2
URL:	https://github.com/shuwei325/aplms
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	aplms results

Documentation:

Reference manual:

aplms.html , aplms.pdf

Downloads:

Package source:	aplms_0.1.0.tar.gz
Windows binaries:	r-devel: aplms_0.1.0.zip, r-release: aplms_0.1.0.zip, r-oldrel: aplms_0.1.0.zip
macOS binaries:	r-release (arm64): aplms_0.1.0.tgz, r-oldrel (arm64): aplms_0.1.0.tgz, r-release (x86_64): aplms_0.1.0.tgz, r-oldrel (x86_64): aplms_0.1.0.tgz

Linking:

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