c(
person("Zachary", "Burchill", email = "zach.burchill.code@gmail.com", role = c("aut", "cre"))
)
Simple code to catch, collect, and raise conditions (errors, warnings, messages, etc.) without halting/restarting processes.

Taking the Pain Out of Catching and Handling Conditions
c(
person("Zachary", "Burchill", email = "zach.burchill.code@gmail.com",
role = c("aut", "cre", "cph"))
)
R has a unique way of dealing with warnings, errors, messages,
and other conditions, but it can often be troublesome to users coming
from different programming backgrounds. The purpose of this package is
to provide flexible and useful tools for handling R conditions with
less hassle. In order to lower the barrier of entry, keep code clean
and readable, and reduce the amount of typing required, `catchr` uses
a very simple domain-specific language that simplifies things on the
front-end.
This package aims to maintain a continuous learning curve that lets new
users jump straight in to condition-handling, while simultaneously
offering depth and complexity for more advanced users.
testthat, beepr, crayon, covr, knitr, rmarkdown, spelling

Test for and Identify Categorical or Continuous Values
Methods and utilities for classifying vectors as categorical
or continuous.

Test, Identify, Select and Mutate Categorical or Continuous
Values
Methods and utilities for testing, identifying, selecting and
mutating objects as categorical or continous types. These functions work on both
atomic vectors as well as recursive objects: data.frames, data.tables,
tibbles, lists, etc..

Categorical Data Analysis Program Package
Categorical data analysis program package.

Categorical data analysis by AIC. The methodology is described in
Sakamoto (1992) <ISBN 978-0-7923-1429-5>.
Please send bug reports to ismrp@jasp.ism.ac.jp.

rms, qvcalc, glmmML, nnet, pscl, VGAM, gee, mlogit, Ecdat,
geepack, mgcv, rpart, party, ordinal, lme4, vcdExtra, glmnet,
mboost, class, e1071, flexmix, lqa, lpSolve, GAMBoost,
penalized
Gerhard Tutz, Marcus Gross, Sarah Maierhofer, Gunther
Schauberger
Gunther Schauberger
<gunther.schauberger@stat.uni-muenchen.de>, Gerhard Tutz
<gerhard.tutz@stat.uni-muenchen.de>
This R-package contains examples from the book "Regression
for Categorical Data", Tutz 2011, Cambridge University Press.
The names of the examples refer to the chapter and the data set
that is used.