Package: BUCSS 1.2.1

BUCSS: Bias and Uncertainty Corrected Sample Size

Bias- and Uncertainty-Corrected Sample Size. BUCSS implements a method of correcting for publication bias and uncertainty when planning sample sizes in a future study from an original study. See Anderson, Kelley, & Maxwell (2017; Psychological Science, 28, 1547-1562).

Authors:Samantha F. Anderson <[email protected]>, Ken Kelley <[email protected]>

BUCSS_1.2.1.tar.gz
BUCSS_1.2.1.zip(r-4.7)BUCSS_1.2.1.zip(r-4.6)BUCSS_1.2.1.zip(r-4.5)
BUCSS_1.2.1.tgz(r-4.6-any)BUCSS_1.2.1.tgz(r-4.5-any)
BUCSS_1.2.1.tar.gz(r-4.7-any)BUCSS_1.2.1.tar.gz(r-4.6-any)
BUCSS_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BUCSS/json (API)

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

Bug tracker:https://github.com/yelleknek/bucss/issues

On CRAN:

Conda:

3.28 score 38 scripts 251 downloads 11 exports 0 dependencies

Last updated from:e09084d74c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK124
source / vignettesOK118
linux-release-x86_64OK122
macos-release-arm64OK129
macos-oldrel-arm64OK182
windows-develOK65
windows-releaseOK62
windows-oldrelOK59
wasm-releaseOK87

Exports:ss.power.bass.power.ba.generalss.power.dtss.power.itss.power.reg.allss.power.reg.jointss.power.reg1ss.power.spass.power.spa.generalss.power.wass.power.wa.general

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Bias and Uncertainty Corrected Sample Size (BUCSS)BUCSS-package BUCSS
Necessary sample size to reach desired power for a one or two-way between-subjects ANOVA using an uncertainty and publication bias correction proceduress.power.ba
Necessary sample size to reach desired power for a between-subjects ANOVA with any number of factors using an uncertainty and publication bias correction proceduress.power.ba.general
Necessary sample size to reach desired power for a dependent t-test using an uncertainty and publication bias correction proceduress.power.dt
Necessary sample size to reach desired power for an independent t-test using an uncertainty and publication bias correction proceduress.power.it
Necessary sample size to reach desired power for a test of model R2 in a multiple regression using an uncertainty and publication bias correction proceduress.power.reg.all
Necessary sample size to reach desired power for a test of multiple predictors in a multiple regression using an uncertainty and publication bias correction proceduress.power.reg.joint
Necessary sample size to reach desired power for a single coefficient in a multiple regression using an uncertainty and publication bias correction proceduress.power.reg1
Necessary sample size to reach desired power for two-factor split-plot (mixed) ANOVA using an uncertainty and publication bias correction proceduress.power.spa
Necessary sample size to reach desired power for a split-plot (mixed) ANOVA with any number of factors using an uncertainty and publication bias correction proceduress.power.spa.general
Necessary sample size to reach desired power for a one or two-way within-subjects ANOVA using an uncertainty and publication bias correction proceduress.power.wa
Necessary sample size to reach desired power for a within-subjects ANOVA with any number of factors using an uncertainty and publication bias correction proceduress.power.wa.general