Package: mbir 1.3.5

mbir: Magnitude-Based Inferences

Allows practitioners and researchers a wholesale approach for deriving magnitude-based inferences from raw data. A major goal of 'mbir' is to programmatically detect appropriate statistical tests to run in lieu of relying on practitioners to determine correct stepwise procedures independently.

Authors:Kyle Peterson [aut, cre], Aaron Caldwell [aut]

mbir_1.3.5.tar.gz
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mbir_1.3.5.tgz(r-4.4-any)mbir_1.3.5.tgz(r-4.3-any)
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mbir.pdf |mbir.html
mbir/json (API)

# Install 'mbir' in R:
install.packages('mbir', repos = c('https://kdpeterson51.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.48 score 1 stars 15 scripts 163 downloads 2 mentions 14 exports 6 dependencies

Last updated 6 years agofrom:95c6fc6efa. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winNOTEOct 31 2024
R-4.5-linuxNOTEOct 31 2024
R-4.4-winNOTEOct 31 2024
R-4.4-macNOTEOct 31 2024
R-4.3-winNOTEOct 31 2024
R-4.3-macNOTEOct 31 2024

Exports:aipe_smdboot_testcorrcorr_diffcorr_testes_convertoddspropsmdsmd_testss_corrss_oddsss_smdswc_ind

Dependencies:effsizeGPArotationlatticemnormtnlmepsych

Introduction to mbir

Rendered frommbir-vignette.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2019-01-22
Started: 2017-08-14