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ALassoSurvIC

0.1.1

Adaptive Lasso for the Cox Regression with Interval Censored and Possibly Left Truncated Data

0packages depend
3.6Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Daewoo PakFirst published 2019-10-162 releasesCRAN page ↗

Penalized variable selection tools for the Cox proportional hazards model with interval censored and possibly left truncated data. It performs variable selection via penalized nonparametric maximum likelihood estimation with an adaptive lasso penalty. The optimal thresholding parameter can be searched by the package based on the profile Bayesian information criterion (BIC). The asymptotic validity of the methodology is established in Li et al. (2019 doi:10.1177/0962280219856238). The unpenalized nonparametric maximum likelihood estimation for interval censored and possibly left truncated data is also available.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 2.3 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
2
Dependencies · direct
Check history
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-13
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-03-12
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 431 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
67%

Downloads

3.6K
CRAN downloads in the past year
Rank #12,445 · ~10/day · ~298/mo
Daily download trend is not available in this view yet.
19130 days
80090 days
3.6K1 year
Compare downloads with other packages →
Also on403 r2u9 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (2)
Rcppparallel
LinkingTo (1)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (3)
no longer listed · 0.1.0 to 0.1.1
no longer listed · 0.1.0 to 0.1.1
no longer listed · 0.1.0 to 0.1.1
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.1Latest
    2022-12-01 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.0
    2019-10-16
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-10-16
Total releases
2 / 7 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Bundled data
6.0 KB / 2 files
Download size
38 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ALassoSurvIC")

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 ALassoSurvIC version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-08. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-08, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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