R: Bias and Uncertainty Corrected Sample Size

# Bias and Uncertainty Corrected Sample Size

## Documentation for package ‘BUCSS’ version 1.2.1

- DESCRIPTION file.

## Help Pages

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