safestats: Safe Anytime-Valid Inference

Functions to design and apply tests that are anytime valid. The functions can be used to design hypothesis tests in the prospective/randomised control trial setting or in the observational/retrospective setting. The resulting tests remain valid under both optional stopping and optional continuation. The current version includes safe t-tests and safe tests of two proportions. For details on the theory of safe tests, see Ly, A, Boehm, Grunwald, Ramdas and van Ravenzwaaij (2024). "Safe Anytime-Valid Inference: Practical maximally flexible sampling designs for experiments based on e-values" (<doi:10.31234/osf.io/h5vae>) and Grunwald, de Heide and Koolen (2024) "Safe Testing" (<doi:10.1093/jrsssb/qkae011>), for details on safe logrank tests see ter Schure, Perez-Ortiz, Ly and Grunwald (2024) "The Anytime-Valid Logrank Test: Error Control under Continuous Monitoring with Unlimited Horizon" (<doi:10.51387/24-NEJSDS65>), and Turner, Ly and Grunwald (2024) "Generic E-variables for exact sequential k-sample tests that allow for optional stopping" (<doi:10.1016/j.jspi.2023.106116>) for details on safe contingency table tests.

Version:	0.8.8
Depends:	R (≥ 4.5)
Imports:	stats (≥ 3.6), lamW (≥ 2.2.1), hypergeo (≥ 1.2-13), survival (≥ 3.2-13), BiasedUrn (≥ 1.07), boot (≥ 1.3-28), dplyr (≥ 1.0.6), purrr (≥ 0.3.5), rlang (≥ 1.0.6), Matrix (≥ 1.7-3), graphics (≥ 4.2.2)
Suggests:	testthat (≥ 3.0.0), knitr (≥ 1.49), rmarkdown
Published:	2026-09-05
DOI:	10.32614/CRAN.package.safestats
Author:	Alexander Ly [cre, aut], Rosanne Turner [aut], Yongqi Wang [aut], Muriel Felipe Perez-Ortiz [ctb], Udo Boehm [ctb], Judith ter Schure [ctb], Peter Grunwald [ctb]
Maintainer:	Alexander Ly <alexander.ly.nl at gmail.com> [email to maintainer is undeliverable]
License:	LGPL (≥ 3)
NeedsCompilation:	no
Language:	en-GB
Materials:	README, NEWS
CRAN checks:	safestats results

Documentation:

Reference manual:

safestats.html , safestats.pdf

Vignettes:

0. Installing the safestats package (source, R code) I. Testing: P-values, subjective Bayes factor, and e-variables (source, R code) II. Design of experiments: Behaviour of e-variables under alternatives (source, R code) Savi Tests and Confidence Intervals for Tests of Two Proportions: Practical Scenarios (source, R code) III. Interval estimation: Classical confidence intervals, (Bayesian) credible interval, and anytime-valid confidence sequences (source, R code) I. Testing: P-values and e-variables (source, R code) II. Interval estimation: Classical confidence intervals and anytime-valid confidence sequences (source, R code) III. Design of experiments: Behaviour of e-variables under alternatives (source, R code) Flexible Safe Anytime-Valid Tests for Practical Scenarios (source, R code)

Downloads:

Package source:	safestats_0.8.8.tar.gz
Windows binaries:	r-devel: safestats_0.8.7.zip, r-release: safestats_0.8.7.zip, r-oldrel: safestats_0.8.7.zip
macOS binaries:	r-release (arm64): safestats_0.8.7.tgz, r-oldrel (arm64): safestats_0.8.7.tgz, r-release (x86_64): safestats_0.8.7.tgz, r-oldrel (x86_64): safestats_0.8.7.tgz
Old sources:	safestats archive

Linking:

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