LSTbook: Data and Software for "Lessons in Statistical Thinking"

"Lessons in Statistical Thinking" D.T. Kaplan (2014) <https://dtkaplan.github.io/Lessons-in-statistical-thinking/> is a textbook for a first or second course in statistics that embraces data wrangling, causal reasoning, modeling, statistical adjustment, and simulation. 'LSTbook' supports the student-centered, tidy, pipeline-oriented computing style featured in the book.

Version: 0.5.0
Depends: R (≥ 3.5.0)
Imports: rlang, dplyr, ggplot2 (≥ 3.4.4), broom, glue, stats, MASS, tibble, stringi
Suggests: igraph, graphics, testthat (≥ 3.0.0), moderndive, palmerpenguins, babynames, knitr, rmarkdown, stringdist, mosaicData
Published: 2024-02-23
Author: Daniel Kaplan [aut, cre], Randall Pruim [aut]
Maintainer: Daniel Kaplan <dtkaplan at gmail.com>
BugReports: https://github.com/dtkaplan/LSTbook/issues/
License: MIT + file LICENSE
URL: https://dtkaplan.github.io/LSTbook/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: LSTbook results

Documentation:

Reference manual: LSTbook.pdf
Vignettes: Simulating data with Directed Acyclic Graphs
{LST}: R package for *Lessons in Statistical Thinking*
Training models

Downloads:

Package source: LSTbook_0.5.0.tar.gz
Windows binaries: r-devel: LSTbook_0.5.0.zip, r-release: LSTbook_0.5.0.zip, r-oldrel: LSTbook_0.5.0.zip
macOS binaries: r-release (arm64): LSTbook_0.5.0.tgz, r-oldrel (arm64): LSTbook_0.5.0.tgz, r-release (x86_64): LSTbook_0.5.0.tgz

Linking:

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