statpsych: Statistical Methods for Psychologists

Implements confidence interval and sample size methods that are especially useful in psychological research. The methods can be applied in 1-group, 2-group, paired-samples, and multiple-group designs and to a variety of parameters including means, medians, proportions, slopes, standardized mean differences, standardized linear contrasts of means, plus several measures of correlation and association. The confidence intervals and sample size functions are applicable to single parameters as well as differences, ratios, and linear contrasts of parameters. The sample size functions can be used to approximate the sample size needed to estimate a parameter or function of parameters with desired confidence interval precision or to perform a variety of hypothesis tests (directional two-sided, equivalence, superiority, noninferiority) with desired power. For details see: Statistical Methods for Psychologists, Volumes 1 – 4, <https://dgbonett.sites.ucsc.edu/>.

Version: 1.5.0
Imports: utils, stats, mnonr, Rdpack, mathjaxr
Suggests: MASS, testthat (≥ 3.0.0)
Published: 2023-12-20
Author: Douglas G. Bonett [aut, cre], Robert J. Calin-Jageman [ctb]
Maintainer: Douglas G. Bonett <dgbonett at ucsc.edu>
BugReports: https://github.com/dgbonett/statpsych/issues
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: statpsych results

Documentation:

Reference manual: statpsych.pdf

Downloads:

Package source: statpsych_1.5.0.tar.gz
Windows binaries: r-devel: statpsych_1.5.0.zip, r-release: statpsych_1.5.0.zip, r-oldrel: statpsych_1.5.0.zip
macOS binaries: r-release (arm64): statpsych_1.5.0.tgz, r-oldrel (arm64): statpsych_1.5.0.tgz, r-release (x86_64): statpsych_1.5.0.tgz
Old sources: statpsych archive

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