Generates both total- and level-specific R-squared measures from
Rights and Sterba’s (2019) <doi:10.1037/met0000184> framework of R-squared measures for multilevel
models with random intercepts and/or slopes, which is based on a complete
decomposition of variance. Additionally generates graphical
representations of these R-squared measures to allow visualizing and
interpreting all measures in the framework together as an integrated set.
This framework subsumes 10 previously-developed R-squared measures for
multilevel models as special cases of 5 measures from the framework, and it
also includes several newly-developed measures. Measures in the framework
can be used to compute R-squared differences when comparing multilevel
models (following procedures in Rights & Sterba (2020) <doi:10.1080/00273171.2019.1660605>).

R wrapper for the JPMML-R library <https://github.com/jpmml/jpmml-r>,
which converts R models to Predictive Model Markup Language (PMML).
caret, e1071, earth, evtree, glmnet, mlbench, partykit,
randomForest, ranger, xgboost

caret, e1071, earth, evtree, glmnet, mlbench, mlr, partykit,
randomForest, ranger, xgboost

c(person(given = "Matt",
family = "Lehman",
role = c("aut", "cre"),
email = "mhlehman24@gmail.com")
)
Provides a friendly, object oriented API for creating PowerPoint
slide decks in R.
datasets, ggplot2, testthat (>= 3.0.0), knitr, rmarkdown
'location.R' 'generics.R' 'element.R' 'slide.R'
'presentation.R' 'methods.R' 'utils.R' 'zzz.R'

Implementation of hash tables (hash sets and hash maps) in R,
featuring arbitrary R objects as keys,
arbitrary hash and key-comparison functions,
and customizable behaviour upon queries of missing keys.
knitr, covr, testthat (>= 3.0.0), rmarkdown, microbenchmark,
hash

c(person("Hong", "Lee", role = c("aut","cph"),email = "Hong.Lee@unisa.edu.au"),
person("Moksedul", "Momin", role = c("aut", "cre","cph"), email = "cvasu.momin@gmail.com"))
R2 statistic for significance test. Variance and covariance of R2 values used to assess the 95% CI and p-value of the R2 difference.
Hong Lee [aut, cph],
Moksedul Momin [aut, cre, cph]