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mhazard

0.2.3Package record

Nonparametric and Semiparametric Methods for Multivariate Failure Time Data

0packages depend
2.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Nonparametric survival function estimates and semiparametric regression for the multivariate failure time data with right-censoring. For nonparametric survival function estimates, the Volterra, Dabrowska, and Prentice-Cai estimates for bivariate failure time data may be computed as well as the Dabrowska estimate for the trivariate failure time data. Bivariate marginal hazard rate regression can be fitted for the bivariate failure time data. Functions are also provided to compute (bootstrap) confidence intervals and plot the estimates of the bivariate survival function. For details, see "The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach", Prentice, R., Zhao, S. (2019, ISBN: 978-1-4822-5657-4), CRC Press.

Changes in 0.2.3
  • Deprecated functions were removed from the package.
  • Several examples were modified slightly to make them run more quickly.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.9 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.3
READMENoVignettesNoNEWSYes · 100% structured · mentions 0.2.3Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
14
Examples that run
100%11 run in a plain check
Exported functions with examples
100%
Documented parameters
43%
Return-value docs
82%
Help pages citing references
79%

Downloads

2.8K
CRAN downloads in the past year
Rank #13,837 · ~8/day · ~236/mo
Daily download trend is not available in this view yet.
37230 days
84090 days
2.8K1 year
Compare downloads with other packages →
Also on343 r2u3 autocran

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing mhazard adds 5 packages (3 with compiled code, 5.1 MB of source tarballs). Heaviest: Rcpp 1.8 MB, plot3D 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)
R >= 3.5.0
Imports (5)
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.2 (2020)
Author · added in 0.2.2
Releases (4)

Pick two releases to compare their code metrics.

  • 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
  • 0.2.3Latest
    record
    2023-08-17 · current release · diff ↗ ·
    removed 6 exports
    KM2, KM3, cox2, cox2.LF, plotKM2.3D, plotKM2.HM
  • 0.2.2
    record
    2023-08-09 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.2.1
    record
    2022-05-29 · diff ↗ ·
    added 8 exports
    mHR2, mHR2.LF, mHR2.tvc, npSurv2, npSurv3, plotnpSurv2.3D, plotnpSurv2.HM, tvc.example
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.2
    record
    2020-08-01
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-08-01
Total releases
4 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
2.8 KB / 3 files
Download size
34 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mhazard")
Bair, E., Petty, T., & Zhao, S. (2023). mhazard: Nonparametric and Semiparametric Methods for Multivariate Failure Time Data (Version 0.2.3) [Computer software]. https://doi.org/10.32614/CRAN.package.mhazard

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 mhazard version 0.2.3 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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