Title: Catch, Collect, and Raise Conditions
person("Zachary", "Burchill", email = "zach.burchill.code@gmail.com", role = c("aut", "cre"))
Description: Simple code to catch, collect, and raise conditions (errors, warnings, messages, etc.) without halting/restarting processes.
Packaged: 2018-12-18 15:13:41 UTC; zburchill

Title: Taking the Pain Out of Catching and Handling Conditions
person("Zachary", "Burchill", email = "zach.burchill.code@gmail.com",
Description: 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
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.
Suggests: testthat, beepr, crayon, covr, knitr, rmarkdown, spelling
Packaged: 2019-02-04 23:56:20 UTC; zburchill
Author: Zachary Burchill [aut, cre, cph]

Packaged: 2019-07-09 05:53:54 UTC; zburchill

Packaged: 2020-01-09 04:56:49 UTC; zburchill

Packaged: 2020-08-30 19:32:41 UTC; zburchill

Packaged: 2021-09-20 18:23:22 UTC; zburchill

Title: Test for and Identify Categorical or Continuous Values
Description: Methods and utilities for classifying vectors as categorical

Title: Test, Identify, Select and Mutate Categorical or Continuous
Description: 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,

Title: Categorical Data Analysis Program Package
Description: Categorical data analysis program package.

Description: Categorical data analysis by AIC. The methodology is described in
MailingList: Please send bug reports to ismrp@jasp.ism.ac.jp.