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sievePH

R package implementing sieve analysis methods for proportional hazards models

https://github.com/mjuraska/sieveph

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 4 committers (25.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (5.1%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

R package implementing sieve analysis methods for proportional hazards models

Basic Info
  • Host: GitHub
  • Owner: mjuraska
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 1.18 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 7 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog

README.md

sievePH: Sieve Analysis Methods for Mark-Specific Proportional Hazards Models

sievePH is an R package implementing semiparametric estimation and testing procedures described in

  • Juraska M and Gilbert PB (2013). Mark-specific hazard ratio model with multivariate continuous marks: An application to vaccine efficacy. Biometrics 69, 328-337.
  • Juraska M and Gilbert PB (2016). Mark-specific hazard ratio model with missing multivariate marks. Lifetime Data Analysis 22(4): 606-25.

and nonparametric estimation and testing procedures described in

  • Sun Y and Gilbert PB (2012). Estimation of stratified mark-specific proportional hazards models with missing marks. Scandinavian Journal of Statistics, 39(1):34-52.
  • Gilbert PB and Sun Y (2015). Inferences on relative failure rates in stratified mark-specific proportional hazards models with missing marks, with application to human immunodeficiency virus vaccine efficacy trials. Journal of the Royal Statistical Society Series C: Applied Statistics, 64(1):49-73.

Owner

  • Name: Michal Juraska
  • Login: mjuraska
  • Kind: user

A biostatistician at Fred Hutch

GitHub Events

Total
  • Push event: 1
Last Year
  • Push event: 1

Committers

Last synced: over 3 years ago

All Time
  • Total Commits: 81
  • Total Committers: 4
  • Avg Commits per committer: 20.25
  • Development Distribution Score (DDS): 0.556
Top Committers
Name Email Commits
Michal Juraska m****a@f****g 36
smwu s****8@u****u 26
Michal Juraska m****a@f****g 14
Li Li l****4@f****g 5
Committer Domains (Top 20 + Academic)
fredhutch.org: 2 uw.edu: 1 fhcrc.org: 1

Packages

  • Total packages: 1
  • Total downloads:
    • cran 236 last-month
  • Total docker downloads: 41,971
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 5
  • Total maintainers: 1
cran.r-project.org: sievePH

Sieve Analysis Methods for Proportional Hazards Models

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 236 Last month
  • Docker Downloads: 41,971
Rankings
Forks count: 28.8%
Dependent packages count: 29.8%
Average: 34.7%
Stargazers count: 35.2%
Dependent repos count: 35.5%
Downloads: 44.5%
Maintainers (1)
mjuraska@fredhutch.org
Last synced: 10 months ago

Dependencies

DESCRIPTION cran
  • graphics * imports
  • stats * imports
  • survival * imports