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GmAMisc  

"Gianmarco Alberti" Miscellaneous
View on CRAN: Click here


Download and install GmAMisc package within the R console
Install from CRAN:
install.packages("GmAMisc")

Install from Github:
library("remotes")
install_github("cran/GmAMisc")

Install by package version:
library("remotes")
install_version("GmAMisc", "1.2.1")



Attach the package and use:
library("GmAMisc")
Maintained by
Gianmarco Alberti
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-08-14
Latest Update: 2022-12-12
Description:
Contains many functions useful for univariate outlier detection permutation-based t-test permutation-based chi-square test visualization of residuals and bootstrap Cramer V plotting of the results of the Mann-Whitney and Kruskal-Wallis test calculation of Brainerd-Robinson similarity coefficient and subsequent clustering validation of logistic regression models optimism-corrected AUC robust Bland-Altman plot calculation of posterior probability for different chronological relationships between two Bayesian radiocarbon phases point pattern analysis clustering of spatial features.
How to cite:
Gianmarco Alberti (2018). GmAMisc: "Gianmarco Alberti" Miscellaneous. R package version 1.2.1, https://cran.r-project.org/web/packages/GmAMisc. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0.0 (2018-08-14 11:10), 1.1.0 (2020-02-22 08:20), 1.1.1 (2020-03-19 19:10), 1.2.0 (2021-03-29 11:32), 1.2.1 (2022-02-23 16:20)
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Functions, R codes and Examples using the GmAMisc R package
Full GmAMisc package functions and examples
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