Title: Generate Varied Types of Books and Documents with R 'bookdown'

Description: A collection and selector of R 'bookdown' templates. 'bookdownplus' helps you write academic journal articles, guitar books, chemical equations, mails, calendars, and diaries. R 'bookdownplus' extends the features of 'bookdown', and simplifies the procedure. Users only have to choose a template, clarify the book title and author name, and then focus on writing the text. No need to struggle in 'YAML' and 'LaTeX'.

Title: Generate Assorted Books and Documents with R 'bookdown' Package

Imports: bookdown (>= 0.3.17), xaringan, magick, knitr

Author: Bear F. Braumoeller <bfbraum@fas.harvard.edu>, Jacob Kline <jkline@fas.harvard.edu>
Maintainer: Bear F. Braumoeller <bfbraum@fas.harvard.edu>
Description: A procedure for testing Boolean hypotheses

Description: Partial-observability procedure for testing Boolean hypotheses
Packaged: Sun May  2 00:24:14 2004; hornik

Depends: R (>= 1.9.0), methods, stats, rgenoud
Packaged: Thu Oct  7 20:09:57 2004; bfbraum

Packaged: Mon Feb 21 18:10:45 2005; bfbraum

Packaged: Fri May 27 12:13:36 2005; bfbraum

Author: Bear F. Braumoeller <bfbraum@fas.harvard.edu>, Ben Goodrich <goodrich@fas.harvard.edu>, Jacob Kline <jkline@fas.harvard.edu>
Description: This package implements a partial-observability procedure for testing Boolean hypotheses that generalizes the binary response GLM.
Packaged: Mon Apr 24 12:49:55 2006; bgoodri

Packaged: Mon Feb 23 11:11:47 2009; hornik

Author: Bear F. Braumoeller <braumoeller.1@polisci.osu.edu>, Ben
Maintainer: Bear F. Braumoeller <braumoeller.1@polisci.osu.edu>
Suggests: rgenoud (>= 5.6-6), MCMCpack (>= 0.7-1), MASS
Description: This package implements a partial-observability procedure
for testing Boolean hypotheses that generalizes the binary

Author: Jason W. Morgan <morgan.746@osu.edu>
Maintainer: Jason W. Morgan <morgan.746@osu.edu>
Imports: stats, optimx (>= 2013.8.6), numDeriv, lattice, rgenoud,
partial-observability procedure for testing Boolean
hypotheses that generalizes the binary response GLM as