A framework for performing elementary probability
calculations on finite sample spaces, which may be represented by data frames
or lists.  Functionality includes setting up sample spaces, counting tools,
defining probability spaces, performing set algebra, calculating probability
and conditional probability, tools for simulation and checking the law of
large numbers, adding random variables, and finding marginal distributions.
Characteristic functions for all base R distributions are included.

Probabilistic Fisher discriminant analysis (pFDA) is a probabilistic version of the popular and powerful Fisher linear discriminant analysis for dimensionality reduction and classification.

Tools for Post-Processing Class Probability Estimates
Models can be improved by post-processing class probabilities, by: recalibration, conversion to hard probabilities, assessment of equivocal zones, and other activities. 'probably' contains tools for conducting these operations.
dplyr, generics, rlang, tidyselect, vctrs, yardstick
testthat, covr, knitr, rmarkdown, parsnip, ggplot2

covr, ggplot2, knitr, parsnip, rmarkdown, rsample, testthat

c(
person("Max", "Kuhn", , "max@rstudio.com", c("aut")),
person("Davis", "Vaughan", , "davis@rstudio.com", c("aut", "cre")),
person("RStudio", role = "cph"))
dplyr, generics, rlang (>= 0.4.0), tidyselect, vctrs (>=
0.2.0), yardstick
Max Kuhn [aut],
Davis Vaughan [aut, cre],
RStudio [cph]

covr, ggplot2, knitr, modeldata, parsnip, rmarkdown, rsample,
testthat

dplyr, generics, rlang (>= 0.4.0), tidyselect, vctrs (>=
0.3.0), yardstick

c(
person("Max", "Kuhn", , "max@rstudio.com", role = c("aut", "cre")),
person("Davis", "Vaughan", , "davis@rstudio.com", role = "aut"),
person("RStudio", role = c("cph", "fnd"))
)
Models can be improved by post-processing class
probabilities, by: recalibration, conversion to hard probabilities,
assessment of equivocal zones, and other activities. 'probably'
contains tools for conducting these operations.
covr, ggplot2, knitr, modeldata, parsnip, rmarkdown, rsample,
testthat (>= 3.0.0)
Max Kuhn [aut, cre],
Davis Vaughan [aut],
RStudio [cph, fnd]