R Observatory: Metrics for PwePred version 1.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

PwePred

1.1.2

Event/Timeline Prediction Model Based on Piecewise Exponential

0packages depend

3Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Tianchen XuFirst published 2025-04-104 releasesCRAN page ↗

Efficient algorithm for estimating piecewise exponential hazard models for right-censored data, and is useful for reliable power calculation, study design, and event/timeline prediction for study monitoring.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("PwePred", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-pwepred

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-PwePred

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-PwePred

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.9 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

11

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 9 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 93%
Return-value docs: 100%
References docs: 16%

Downloads

3K

CRAN downloads in the past year

Rank #10,727 · ~8/day · ~246/mo

Releases R versions

Daily download trend is not available in this view yet.

13030 days

90990 days

3K1 year

Compare downloads with other packages →

Also on113 r2u18 autocran

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (2)

R >= 2.10survival

Imports (10)

graphicsgrDevicesstatsmethodsutilssegmented fastmatch foreach doSNOWparallel

LinkingTo (0)

none

Suggests (3)

knitr RColorBrewer rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Tianchen Xu

Author, Maintainer

Authors (1)

Tianchen Xu

Author, Maintainer

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.1.2Latest
2026-03-26 · current release · diff ↗
1.1.1
2026-03-24 · diff ↗
1.1.0
2026-03-22 · diff ↗
1.0.0
2026-03-10
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-04-10
Total releases: 4 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 2.10
Bundled data: 38 KB / 3 files
Download size: 648 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PwePred")

Format

Xu, T. (2026). PwePred: Event/Timeline Prediction Model Based on Piecewise Exponential (Version 1.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.PwePred

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for PwePred version 1.1.2 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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