# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "sgr" in publications use:' type: software license: GPL-2.0-or-later title: 'sgr: Sample Generation by Replacement' version: 1.3.1 identifiers: - type: doi value: 10.32614/CRAN.package.sgr abstract: 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. authors: - family-names: Pastore given-names: Massimiliano email: massimiliano.pastore@unipd.it - family-names: Lombardi given-names: Massimiliano Pastore & Luigi preferred-citation: type: article title: 'sgr: A Package for Simulating Conditional Fake Ordinal Data' authors: - family-names: Lombardi given-names: Luigi - family-names: Pastore given-names: Massimiliano email: massimiliano.pastore@unipd.it journal: The R Journal year: '2014' volume: '6' issue: '1' url: https://svn.r-project.org/Rjournal/html/archive/2014/RJ-2014-019/RJ-2014-019.pdf start: '164' end: '177' repository: https://masspastore.r-universe.dev commit: d1df9176782321241b0c5718a010ce87130b6892 date-released: '2022-04-14' contact: - family-names: Pastore given-names: Massimiliano email: massimiliano.pastore@unipd.it