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Nonparametric Varying Coefficient Spike-and-Slab Lasso

0packages depend
2.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About
Maintained by Ray BaiCRAN page ↗

Fits Bayesian regularized varying coefficient models with the Nonparametric Varying Coefficient Spike-and-Slab Lasso (NVC-SSL) introduced by Bai et al. (2023) https://jmlr.org/papers/volume24/20-1437/20-1437.pdf. Functions to fit frequentist penalized varying coefficients are also provided, with the option of employing the group lasso penalty of Yuan and Lin (2006) doi:10.1111/j.1467-9868.2005.00532.x, the group minimax concave penalty (MCP) of Breheny and Huang doi:10.1007/s11222-013-9424-2, or the group smoothly clipped absolute deviation (SCAD) penalty of Breheny and Huang (2015) doi:10.1007/s11222-013-9424-2.

Install

Health

CRAN checks
13OK
Slowest check: 2.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 3.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
4
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
96%
Return-value docs
100%
Help pages citing references
100%

Downloads

2.4K
CRAN downloads in the past year
Rank #19,172 · ~6/day · ~198/mo
Daily download trend is not available in this view yet.
25830 days
69090 days
2.4K1 year
Compare downloads with other packages →
Also on387 r2u8 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing NVCSSL adds 77 packages (39 with compiled code, 70 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, doBy 4.3 MB.

Depends (1)
R >= 3.6.0
Imports (10)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 1.0 (2020)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 3.0Latest
    record
    2025-07-19 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 2.0
    record
    2023-09-18 · diff ↗ ·
    removed 2 exports
    predict_NVC, robustified_NVC_SSL
    added 1 export
    NVC_predict
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0
    record
    2020-06-09
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-06-09
Total releases
3 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 3.6.0
Bundled data
335 KB / 1 file
Download size
353 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("NVCSSL")
Bai, R. (2025). NVCSSL: Nonparametric Varying Coefficient Spike-and-Slab Lasso (Version 3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.NVCSSL

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 NVCSSL version 3.0 [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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