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This package was removed from CRAN on 2026-07-10. Its history is shown below.
Reason: requires archived package 'scalreg'
Details below reflect version 1.1.0, its last release before removal.

plsmmLasso

1.1.0Package record

Variable Selection and Inference for Partial Semiparametric Linear Mixed-Effects Model

0packages depend
1.4Kdownloads / year
–test coverage
–flavors OK

Overview

About

Implements a partial linear semiparametric mixed-effects model (PLSMM) featuring a random intercept and applies a lasso penalty to both the fixed effects and the coefficients associated with the nonlinear function. The model also accommodates interactions between the nonlinear function and a grouping variable, allowing for the capture of group-specific nonlinearities. Nonlinear functions are modeled using a set of bases functions. Estimation is conducted using a penalized Expectation-Maximization algorithm, and the package offers flexibility in choosing between various information criteria for model selection. Post-selection inference is carried out using a debiasing method, while inference on the nonlinear functions employs a bootstrap approach.

Changes in 1.1.0
  • plot_fit() and test_f() plots now have an additional argument show_obs for the scale of the x-axis.
  • test_f() can be used even when the groups in name_group_var have different timepoints.
  • The example in tune_plsmm() was fixed.
  • Fixed some typos.

From NEWS.md in the release

Install

Health

CRAN checks

CRAN check results are not tracked yet.

Status changes
  • OK13 OK2026-06-08
  • ERROR12 OK, 1 ERROR2026-06-07
  • OK13 OK2026-05-11
  • WARNING12 OK, 1 WARNING2026-05-10
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1.0
READMEYes · 675 wordsVignettesNoNEWSYes · 100% structured · mentions 1.1.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
8
Examples that run
100%8 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

1.4K
CRAN downloads in the past year
Rank #25,761 · ~4/day · ~119/mo
Daily download trend is not available in this view yet.
Also on66 r2u3 autocran

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Author, Maintainer since 1.0.0 (2024), Copyright holder
Thesis advisor
Releases (2)

Pick two releases to compare their code metrics.

  • archivedRemoved from CRAN
    2026-07-10
    requires archived package 'scalreg'
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1.0
    record
    2024-06-04 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.0
    record
    2024-04-04
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-04-04
Total releases
2 / 2 yrs
License
GPL (>= 3) OSI
Download size
635 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("plsmmLasso")
Leon, S., & Wu, T. T. (n.d.). plsmmLasso: Variable Selection and Inference for Partial Semiparametric Linear Mixed-Effects Model (Version 1.1.0) [Computer software]. Retrieved October 27, 2026, from https://CRAN.R-project.org/package=plsmmLasso

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 plsmmLasso version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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