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tidylo  

Weighted Tidy Log Odds Ratio
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("tidylo", "0.2.0")



Attach the package and use:
library("tidylo")
Maintained by
Julia Silge
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-25
Latest Update: 2022-03-22
Description:
How can we measure how the usage or frequency of some feature, such as words, differs across some group or set, such as documents? One option is to use the log odds ratio, but the log odds ratio alone does not account for sampling variability; we haven't counted every feature the same number of times so how do we know which differences are meaningful? Enter the weighted log odds, which 'tidylo' provides an implementation for, using tidy data principles. In particular, here we use the method outlined in Monroe, Colaresi, and Quinn (2008) <doi:10.1093/pan/mpn018> to weight the log odds ratio by a prior. By default, the prior is estimated from the data itself, an empirical Bayes approach, but an uninformative prior is also available.
How to cite:
Julia Silge (2020). tidylo: Weighted Tidy Log Odds Ratio. R package version 0.2.0, https://cran.r-project.org/web/packages/tidylo. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2020-05-25 21:10)
Other packages that cited tidylo R package
View tidylo citation profile
Other R packages that tidylo depends, imports, suggests or enhances
Complete documentation for tidylo
Functions, R codes and Examples using the tidylo R package
Some associated functions: bind_log_odds . 
Some associated R codes: bind_log_odds.R . globals.R .  Full tidylo package functions and examples
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