multifear
0.1.5Multiverse Analyses for Conditioning Data
Overview
A suite of functions for performing analyses, based on a multiverse approach, for conditioning data. Specifically, given the appropriate data, the functions are able to perform t-tests, analyses of variance, and mixed models for the provided data and return summary statistics and plots. The function is also able to return for all those tests p-values, confidence intervals, and Bayes factors. The methods are described in Lonsdorf, Gerlicher, Klingelhofer-Jens, & Krypotos (2022) doi:10.1016/j.brat.2022.104072. Since November 2025, this package contains code from the 'ez' R package (Copyright (c) 2016-11-01, Michael A. Lawrence <mike.lwrnc@gmail.com>), originally distributed under the 'GPL' (equal and above 2) license.
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- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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7 development-tooling and community-health practices detected across 5 families in the upstream repository
Checks run against github.com/angelospsy/multifear on 2026-07-19.
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Code & Tests
Datasets
People & History
5 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.5Latest
- 0.1.42025-06-11 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.32023-09-23 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.1.22021-06-01 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.1.12021-04-06
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-04-06
- Total releases
- 5 / 5 yrs
- License
- GPL-3 OSI
- Download size
- 1.9 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet