amacanovic/KeynessMeasures: Calculating keyness measures for corpus analysis

This package provides alternatives to conventual measures used in corpus analysis. Dominant measures provide statistical significance testing of the key words in corpora, but not the measures of effect strengths. This package incorporates several measures proposed in the literature (log likelihood effect size, %DIFF, relative risk, log ratio and odds ratio). It also offers calculations of the log likelihood and BIC as an alternative measure of statistical significance. It relies on quanteda's functions to obtain and group frequency tables.

Getting started

Package details

Authorperson("Ana", "Macanovic", email="a.macanovic@uu.nl", role = c("aut", "cre"))
MaintainerThe package maintainer <yourself@somewhere.net>
LicenseWhat license is it under?
Version0.0.0.9001
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("amacanovic/KeynessMeasures")
amacanovic/KeynessMeasures documentation built on July 6, 2022, 1:38 a.m.