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sgr  

Sample Generation by Replacement
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sgr", "1.3.1")



Attach the package and use:
library("sgr")
Maintained by
Massimiliano Pastore
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-03-18
Latest Update: 2022-04-14
Description:
Sample Generation by Replacement simulations (SGR; Lombardi & Pastore, 2014; Pastore & Lombardi, 2014). The package can be used to perform fake data analysis according to the sample generation by replacement approach. It includes functions for making simple inferences about discrete/ordinal fake data. The package allows to study the implications of fake data for empirical results.
How to cite:
Massimiliano Pastore (2013). sgr: Sample Generation by Replacement. R package version 1.3.1, https://cran.r-project.org/web/packages/sgr. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.1 (2013-06-30 15:21), 1.0.2 (2013-08-17 11:48), 1.0.3 (2013-12-03 17:50), 1.0.4 (2014-03-26 10:37), 1.0 (2013-03-18 12:43), 1.1 (2014-06-03 17:31), 1.2 (2014-09-02 10:52), 1.3 (2014-11-24 12:11)
Other packages that cited sgr R package
View sgr citation profile
Other R packages that sgr depends, imports, suggests or enhances
Complete documentation for sgr
Functions, R codes and Examples using the sgr R package
Some associated functions: amse . arb . dgBeta . dgBetaD . model.fake.par . partition.replacement . pfake . pfakebad . pfakegood . psydata . rdatagen . rdatarepl . replacement.matrix . smokers . 
Some associated R codes: dgBeta.R . dgBetaD.R . formule.bias.R . model.fake.par.R . partition.replacement.R . pfake.R . pfakebad.R . pfakegood.R . rdatagen.R . rdatarepl.R . replacement.matrix.R . rfake.R .  Full sgr package functions and examples
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