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.">

LSTbook: Data and Software for "Lessons in Statistical Thinking" (original) (raw)

"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: 0.6
Depends: R (≥ 3.5.0)
Imports: rlang, dplyr, ggplot2 (≥ 3.4.4), broom, glue, stats, MASS, tibble, stringi
Suggests: igraph, mosaicData, moderndive, palmerpenguins, stringdist, rmarkdown, knitr, testthat
Published: 2024-12-07
DOI: 10.32614/CRAN.package.LSTbook
Author: Daniel Kaplan [aut, cre], Randall Pruim [aut]
Maintainer: Daniel Kaplan
BugReports: https://github.com/dtkaplan/LSTbook/issues
License: MIT + file
URL: https://github.com/dtkaplan/LSTbook
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: LSTbook results

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