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pseval

1.3.3Package record

Methods for Evaluating Principal Surrogates of Treatment Response

0packages depend
3Kdownloads / year
79.3%test coverage
13/13flavors OK

Overview

About

Contains the core methods for the evaluation of principal surrogates in a single clinical trial. Provides a flexible interface for defining models for the risk given treatment and the surrogate, the models for integration over the missing counterfactual surrogate responses, and the estimation methods. Estimated maximum likelihood and pseudo-score can be used for estimation, and the bootstrap for inference. A variety of post-estimation summary methods are provided, including print, summary, plot, and testing.

Changes in 1.3.3
  • fix cross-references in Rd files
  • fix bad urls

From NEWS in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.3.3
READMEYes · 147 wordsVignettesYes · 1 · dynamicNEWSYes · 33% structured · mentions 1.3.3Citation fileYes · cites a publicationWebsiteYes · pkgdown
Cites an R Journal article
Help pages
36
Examples that run
60%3 run in a plain check · 2 never run
Exported functions with examples
12%
Documented parameters
96%
Return-value docs
16%
Help pages citing references
0%

Downloads

3K
CRAN downloads in the past year
Rank #14,744 · ~8/day · ~247/mo
Daily download trend is not available in this view yet.
30730 days
82090 days
3K1 year
Compare downloads with other packages →
Also on82 r2u4 autocran143 c2d4u

Repository

1Stars
0Forks
3Open issues
0Open PRs
1Releases
136Commits
3Commit identities
136 commits · Last activity 2025-04-08
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
2
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2015-12-28 · 12026-07-07 · 1
PracticesBeta

6 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/sachsmc/pseval on 2026-10-21.

Continuous integration (1)
GitHub Actions
Docs source (2)
pkgdown

GitHub Pages site last deployed 2025-04-08

pkgdown site last built 2025-04-08

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing pseval adds no packages beyond those that come with R.

Depends (0)
none
Imports (1)
survival
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer · added in 1.1.1
Author · added in 1.1.1

Maintainer since 1.0.0 (2015)

Releases (7)

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
  • 1.3.3Latest
    record
    2025-04-08 · current release · diff ↗
  • 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
  • 1.3.1
    record
    2019-01-28 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 1.3.0
    record
    2016-09-23 · diff ↗ ·
    added 2 exports
    empirical_TE, risk_continuous
  • 1.2.3
    record
    2016-08-03 · diff ↗
  • 1.2.1
    record
    2016-06-15 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
Show 3 earlier eventsHide 3 earlier events
  • 1.1.1
    record
    2016-04-19 · diff ↗ ·
    added 2 exports
    calc_STG, risk_poisson
  • 1.0.0
    record
    2015-12-30
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2015-12-30
Total releases
7 / 11 yrs
License
MIT + file LICENSE OSI
Download size
174 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("pseval")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.32614/rj-2016-046.

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 pseval version 1.3.3 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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