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skewsamp
View on CRAN: Click
here
Download and install skewsamp package within the R console
Install from CRAN:
install.packages("skewsamp")
Install from Github:
library("remotes")
install_github("cran/skewsamp") Install by package version:
library("remotes")
install_version("skewsamp", "1.0.0") Attach the package and use:
library("skewsamp")
Maintained by
Johannes Brachem
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All associated links for this package
First Published: 2021-12-16
Latest Update: 2021-12-16
Description:
Estimate necessary sample sizes for comparing the location of data from two groups or categories when the distribution of the data is skewed. The package offers a non-parametric method for a Wilcoxon Mann-Whitney test of location shift as well as methods for several generalized linear models, for instance, Gamma regression.
How to cite:
Johannes Brachem (2021). skewsamp: Estimate Sample Sizes for Group Comparisons with Skewed Distributions. R package version 1.0.0, https://cran.r-project.org/web/packages/skewsamp. Accessed 02 Sep. 2026.
Previous versions and publish date:
No previous versions
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View skewsamp citation profile
Other R packages that skewsamp depends,
imports, suggests or enhances
Complete documentation for skewsamp
Functions, R codes and Examples using
the skewsamp R package
Some associated functions: create_lower_extension . create_upper_extension . demp . estimate_p . extend_sample . find_smaller_index . n_binom . n_gamma . n_glm . n_locshift . n_locshift_bound . n_locshift_one . n_negbinom . n_noether . n_poisson . pemp . qemp . remp . resample_n_locshift . resample_n_locshift_one .
Some associated R codes: cundill.R . empirical_cdf.R . empirical_cdf_helpers.R . sample_size.R . ssp_chakraborti.R . ssp_chakraborti_helpers.R . Full skewsamp package functions and examples
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