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SensIAT

0.3.0Package record

Sensitivity Analysis for Irregular Assessment Times

0packages depend
5.2Kdownloads / year
52.5%test coverage
12/13flavors OK

Overview

About

Sensitivity analysis for trials with irregular and informative assessment times, based on a new influence function-based, augmented inverse intensity-weighted estimator.

Changes in 0.3.0
  • Conformed most names to standard of starting with verbs.
  • Documentation fixes and updates.
  • Removed unnecessarily exported functions.
  • Updated single index model with norm 1 coefficients to allow for multiple iterations.
  • Various bug fixes.
  • Source code cleanup.

From NEWS.md in the release

Install

Health

CRAN checks
1ERROR12OK
Check messages
ERRORtestsr-devel-linux-x86_64-debian-gcc
Running ‘spelling.R’ [0s/0s]
  Running ‘testthat.R’ [19s/28s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > # This file is part of the standard setup for testthat.
  > # It is recommended that you do not modify it.
  > #
  > # Where should you do additional test configuration?
  > # Learn more about the roles of various files in:
  > # * https://r-pkgs.org/tests.html
  > # * https://testthat.r-lib.org/reference/test_package.html#special-files
  > 
  > library(testthat)
  > library(SensIAT)
  > 
  > test_check("SensIAT")
  Saving _problems/test-PCORI_within_group_model-15.R
  Saving _problems/test-PCORI_within_group_model-31.R
  Saving _problems/test-estimate_baseline_intensity-16.R
  Saving _problems/test-influence_term1-72.R
  Saving _problems/test-influence_term2-75.R
  Saving _problems/test-sim_outcome_modeler-2.R
  [ FAIL 6 | WARN 8 | SKIP 4 | PASS 34 ]
  
  ══ Skipped tests (4) ═══════════════════════════════════════════════════════════
  • On CRAN (3): 'tes
...[truncated]...
d_errors(...)
   11. │       │ └─base::withCallingHandlers(...)
   12. │       ├─purrr:::call_with_cleanup(...)
   13. │       └─SensIAT (local) .f(.x[[i]], ...)
   14. │         ├─SensIAT::compute_influence_terms(...)
   15. │         └─SensIAT:::`compute_influence_terms.SensIAT::Single-index-outcome-model`(...)
   16. │           └─SensIAT:::estimate_baseline_intensity(...)
   17. │             ├─survival::survfit(intensity.model, newdata = construct_baseline_df(intensity.model))
   18. │             └─survival:::survfit.coxph(intensity.model, newdata = construct_baseline_df(intensity.model))
   19. │               └─survival:::model.matrix.coxph(object, data = mf)
   20. │                 └─stats::delete.response(object$terms)
   21. │                   └─stats (local) off(a$specials[[i]])
   22. └─purrr (local) `<fn>`(`<sbscOOBE>`)
   23.   └─cli::cli_abort(...)
   24.     └─rlang::abort(...)
  
  [ FAIL 6 | WARN 8 | SKIP 4 | PASS 34 ]
  Error:
  ! Test failures.
  Execution halted

CRAN check page ↗

Slowest check: 5.0 min · r-devel-windows-x86_64
Status changes
  • ERROR12 OK, 1 ERROR2026-10-24
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
Show 3 earlier changesHide 3 earlier changes
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.3.0
READMEYes · 45 wordsVignettesNoNEWSYes · 100% structured · mentions 0.3.0Citation fileNoWebsiteYes · pkgdown
Help pages
25 (10 internal)includes a package overview page
Examples that run
31%4 run in a plain check · 6 only when donttest examples are enabled (R CMD check --as-cran) · 3 never run
Exported functions with examples
80%
Documented parameters
96%
Return-value docs
80%
Help pages citing references
0%

Downloads

5.2K
CRAN downloads in the past year
Rank #10,505 · ~14/day · ~436/mo
Daily download trend is not available in this view yet.
35030 days
99090 days
5.2K1 year
Compare downloads with other packages →
Also on328 r2u2 autocran

Repository

2Stars
0Forks
6Open issues
3Open PRs
4Releases
364Commits
8Commit identities
364 commits · Last activity 2026-07-01 · 0% stars, 30d · Default branch at 0.3.0.9000, ahead of CRAN 0.3.0 (checked 2026-10-22)
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
9
Median days to close, 50 most recently updated closed PRs
1

Stars over time

2025-11-10 · 12026-07-07 · 2
PracticesBeta

10 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/uofuepibio/sensiat on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-07-01 · The repository has a site deploy workflow

pkgdown site last built 2026-07-01

Coverage (1)
Coverage reporting (Codecov)
Reproducibility and dev environment (2)
MakefileDev Container
Show all practicesHide 1 practice
CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v4 (2026-10-20)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • GitHub Copilotfirst seen 2025-12-15
    Pull request: opened by its own account
    Commits: 4 by its own account
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
23 external dependencies (excludes base and recommended)

Installing SensIAT adds 36 packages (19 with compiled code, 33 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, Rcpp 1.8 MB.

Depends (1)
R >= 4.4.0
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (8)
Author, Maintainer since 0.1.0 (2024)
pdr, Author
Author · added in 0.2.0
Author
Contributor, Contractor
Copyright holder
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.3.0Latest
    record
    2025-09-05 · current release · diff ↗ ·
    removed 8 exports
    SensIAT_fit_marginal_model, SensIAT_jackknife, SensIAT_jackknife_fulldata, SensIAT_prepare_data, SensIAT_sim_outcome_modeler, SensIAT_sim_outcome_modeler_fbw, SensIAT_sim_outcome_modeler_mave, sensitivity_expected_values
    added 6 exports
    compute_SensIAT_expected_values, fit_SensIAT_marginal_mean_model, fit_SensIAT_single_index_fixed_bandwidth_model, fit_SensIAT_single_index_fixed_coef_model, fit_SensIAT_single_index_norm1coef_model, prepare_SensIAT_data
  • 0.2.0
    record
    2025-08-18 · diff ↗ ·
    added 10 exports
    SensIAT_fit_marginal_model, SensIAT_jackknife_fulldata, SensIAT_prepare_data, SensIAT_sim_outcome_modeler_fbw, SensIAT_sim_outcome_modeler_mave, add_class, add_terminal_observations, compute_influence_terms, jackknife, sensitivity_expected_values
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.1
    record
    2024-11-17 · diff ↗
  • 0.1.0
    record
    2024-11-01
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-11-01
Total releases
4 / 2 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.4.0
Bundled data
7.5 KB / 2 files
Download size
70 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SensIAT")
Redd, A., University of Utah, Gao, Y., Mallett, A., Scharfstein, D., Smith, B., Varadhan, R., & Yang, S. (2025). SensIAT: Sensitivity Analysis for Irregular Assessment Times (Version 0.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.SensIAT

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 SensIAT version 0.3.0 [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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