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TOSTER (version 0.3)

Two One-Sided Tests (TOST) Equivalence Testing

Description

Two one-sided tests (TOST) procedure to test equivalence for t-tests, correlations, differences between proportions, and meta-analyses, including power analysis for t-tests and correlations. Allows you to specify equivalence bounds in raw scale units or in terms of effect sizes. See: Lakens (2017) .

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Version

Install

install.packages('TOSTER')

Monthly Downloads

1,273

Version

0.3

License

GPL-3

Maintainer

Daniel Lakens

Last Published

November 15th, 2017

Functions in TOSTER (0.3)

TOSTone.raw

TOST function for a one-sample t-test (raw scores)
TOSTpaired.raw

TOST function for a dependent t-test (raw scores)
TOSTtwo.prop

TOST function for two proportions (raw scores)
TOSTtwo.raw

TOST function for an independent t-test (raw scores)
TOSTtwo

TOST function for an independent t-test (Cohen's d)
TOSTr

TOST function for a correlations
TOSTpaired

TOST function for a dependent t-test (Cohen's dz)
dataTOSTone

TOST One Sample T-Test
TOSTone

TOST function for a one-sample t-test (Cohen's d)
TOSTmeta

TOST function for meta-analysis
dataTOSTpaired

TOST Paired Samples T-Test
powerTOSTtwo.raw

Power analysis for TOST for independent t-test (raw scores).
powerTOSTr

Power analysis for TOST for correlations.
powerTOSTone

Power analysis for TOST for one-sample t-test (Cohen's d).
dataTOSTtwo

TOST Independent Samples T-Test
powerTOSTtwo

Power analysis for TOST for independent t-test (Cohen's d).
powerTOSTpaired.raw

Power analysis for TOST for dependent t-test (raw scores).
powerTOSTtwo.prop

Power analysis for TOST for difference between two proportions using Z-test (pooled)
powerTOSTone.raw

Power analysis for TOST for one-sample t-test (raw scores).
powerTOSTpaired

Power analysis for TOST for dependent t-test (Cohen's dz).
dataTOSTr

TOST Correlation