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psbcGroup

1.7Package record

Penalized Parametric and Semiparametric Bayesian Survival Models with Shrinkage and Grouping Priors

0packages depend
3Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Algorithms to implement various Bayesian penalized survival regression models including: semiparametric proportional hazards models with lasso priors (Lee et al., Int J Biostat, 2011 doi:10.2202/1557-4679.1301) and three other shrinkage and group priors (Lee et al., Stat Anal Data Min, 2015 doi:10.1002/sam.11266); parametric accelerated failure time models with group/ordinary lasso prior (Lee et al. Comput Stat Data Anal, 2017 doi:10.1016/j.csda.2017.02.014).

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Kyu Ha Lee <klee@hsph.harvard.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = c("Kyu", "Ha"),
                      family = "Lee",
                      role = c("aut", "cre"),
                      email = "klee@hsph.harvard.edu"),
               person(given = "Sounak",
                      family = "Chakraborty",
                      role = "aut"),
               person(given = "Harrison",
                      family = "Reeder",
                      role = "aut"),
               person(given = c("", "Jianguo"),
                      family = "Sun",
                      role = "aut",
                      comment = "Tony"))
as necessary.

CRAN check page ↗

Slowest check: 2.8 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

Documentation signals are not tracked yet for this package.

Websitenot tracked

Downloads

3K
CRAN downloads in the past year
Rank #13,966 · ~8/day · ~251/mo
psbcGroup
Daily download trend is not available in this view yet.
30330 days
83190 days
3K1 year
Compare downloads with other packages →
Also on361 r2u126 c2d4u

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing psbcGroup adds 4 packages (2 with compiled code, 1.3 MB of source tarballs). Heaviest: mvtnorm 1.0 MB, SuppDists 137 KB, LearnBayes 87 KB.

Depends (5)
R >= 3.2.3LearnBayesSuppDistsmvtnormsurvival
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (0)

Author records are not tracked yet for this package.

Maintainer since 1.0 (2013)

Listed in earlier versions (4)
Show 4 peopleHide 4 people
no longer listed · 1.0 to 1.7
no longer listed · 1.0 to 1.7
no longer listed · 1.0 to 1.7
no longer listed · 1.7
Releases (8)
  • 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
  • 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
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • 3.0.1Latest
    2013-04-05 · current release · diff ↗
  • 2024-01-09 · diff ↗ ·
    added 1 export
    aftGL_LT
  • 2021-06-24 · diff ↗ ·
    added 1 export
    VS
Show 6 earlier eventsHide 6 earlier events

Package metadata

First published
2013-04-05
Total releases
8 / 13 yrs
License
GPL (>= 2) OSI
Download size
118 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("psbcGroup")

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 psbcGroup version 1.7 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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