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retrodesign
View on CRAN: Click
here
Download and install retrodesign package within the R console
Install from CRAN:
install.packages("retrodesign")
Install from Github:
library("remotes")
install_github("cran/retrodesign")
Install by package version:
library("remotes")
install_version("retrodesign", "0.2.2")
Attach the package and use:
library("retrodesign")
Maintained by
Andrew Timm
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-08
Latest Update: 2023-11-02
Description:
Provides tools for working with Type S (Sign) and Type M (Magnitude) errors, as proposed in Gelman and Tuerlinckx (2000) <doi:10.1007/s001800000040> and Gelman & Carlin (2014) <doi:10.1177/1745691614551642>. In addition to simply calculating the probability of Type S/M error, the package includes functions for calculating these errors across a variety of effect sizes for comparison, and recommended sample size given "tolerances" for Type S/M errors. To improve the speed of these calculations, closed forms solutions for the probability of a Type S/M error from Lu, Qiu, and Deng (2018) <doi:10.1111/bmsp.12132> are implemented. As of 1.0.0, this includes support only for simple research designs. See the package vignette for a fuller exposition on how Type S/M errors arise in research, and how to analyze them using the type of design analysis proposed in the above papers.
How to cite:
Andrew Timm (2019). retrodesign: Tools for Type S (Sign) and Type M (Magnitude) Errors. R package version 0.2.2, https://cran.r-project.org/web/packages/retrodesign
Previous versions and publish date:
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imports, suggests or enhances
Functions, R codes and Examples using
the retrodesign R package
Some associated functions: retro_design . retro_design_closed_form.list . retro_design_closed_form.numeric . retro_design_closed_form . retrodesign.list . retrodesign.numeric . retrodesign . sim_plot . type_m.list . type_m.numeric . type_m . type_s.list . type_s.numeric . type_s .
Some associated R codes: simple_hypothesis_tests.R . visualization.R . Full retrodesign package functions and examples
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