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aplms

0.1.0Package record

Additive Partial Linear Models with Symmetric Autoregressive Errors

0packages depend
3.2Kdownloads / year
44.0%test coverage
8/13flavors OK

Overview

About

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.

Changes in 0.1.0
  • Initial CRAN submission.

From NEWS.md in the release

Install

Health

CRAN checks
5NOTE8OK
Check messages
NOTER code for possible problemsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64
Found calls to structure() using deprecated special names:
  aplms/R/family.elliptical.R (.Dim: 1, .Dimnames: 1)
'.Dim' should be changed to 'dim'.
'.Dimnames' should be changed to 'dimnames'.

CRAN check page ↗

Slowest check: 2.9 min · r-oldrel-windows-x86_64
Status changes
  • NOTE8 OK, 5 NOTE2026-09-08
  • ERROR8 OK, 4 NOTE, 1 ERROR2026-09-07
  • NOTE11 OK, 2 NOTE2026-07-16
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 159 wordsVignettesNoNEWSYes · 67% structured · mentions 0.1.0Citation fileNo
Help pages
13
Examples that run
100%13 run in a plain check
Exported functions with examples
100%
Documented parameters
87%
Return-value docs
100%
Help pages citing references
31%

Downloads

3.2K
CRAN downloads in the past year
Rank #11,409 · ~9/day · ~267/mo
Daily download trend is not available in this view yet.
29430 days
94690 days
3.2K1 year
Compare downloads with other packages →
Also on103 r2u24 autocran

Repository

Moved from shuwei325/aplms.

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2025-11-04
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
not measured
PracticesBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/shuwei325/aplms on 2026-10-22.

Continuous integration (1)
GitHub Actions
Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-02-27

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing aplms adds 9 packages (6 with compiled code, 11 MB of source tarballs). Heaviest: data.table 5.7 MB, GPArotation 1.6 MB, psych 1.1 MB.

Depends (2)
R >= 3.5.0mgcv
Imports (7)
MASSMatrixrliststatsmethodspsychrmutil
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.1.0 (2025), Copyright holder
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2025-11-07 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-11-07
Total releases
1 / 1 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Bundled data
57 KB / 2 files
Download size
1.1 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("aplms")
Chou-Chen, S. W., Oliveira, R. A., Paula, G. A., & Sanchez Sandi, S. (2025). aplms: Additive Partial Linear Models with Symmetric Autoregressive Errors (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.aplms

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for aplms version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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