Package: datascience.curriculum 0.0.0.9008

datascience.curriculum: Data Science 2023

What the package does (one paragraph).

Authors:Brad Blaser [aut, cre]

datascience.curriculum_0.0.0.9008.tar.gz
datascience.curriculum_0.0.0.9008.zip(r-4.5)datascience.curriculum_0.0.0.9008.zip(r-4.4)datascience.curriculum_0.0.0.9008.zip(r-4.3)
datascience.curriculum_0.0.0.9008.tgz(r-4.4-any)datascience.curriculum_0.0.0.9008.tgz(r-4.3-any)
datascience.curriculum_0.0.0.9008.tar.gz(r-4.5-noble)datascience.curriculum_0.0.0.9008.tar.gz(r-4.4-noble)
datascience.curriculum_0.0.0.9008.tgz(r-4.4-emscripten)datascience.curriculum_0.0.0.9008.tgz(r-4.3-emscripten)
datascience.curriculum.pdf |datascience.curriculum.html✨
datascience.curriculum/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/blaserlab/datascience.curriculum/issues

On CRAN:

0 exports 1 stars 0.09 score 134 dependencies 8 scripts

Last updated 1 years agofrom:028494bb71. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:

Dependencies:abindaskpassbackportsbase64encbitbit64blobbootbroombslibcachemcallrcarcarDatacellrangerclicliprcolorspaceconflictedcorrplotcowplotcpp11crayoncurldata.tableDBIdbplyrDerivdigestdoBydplyrdtplyrevaluatefansifarverfastmapfontawesomeforcatsfsgarglegenericsggplot2ggpubrggrepelggsciggsignifgluegoogledrivegooglesheets4gridExtragtablehavenhighrhmshtmltoolshttridsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4lubridatemagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigpolynomprettyunitsprocessxprogresspspurrrquantregR6raggrappdirsRColorBrewerRcppRcppEigenreadrreadxlrematchrematch2reprexrlangrmarkdownrstatixrstudioapirvestsassscalesselectrSparseMstringistringrsurvivalsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetinytextzdbutf8uuidvctrsviridisLitevroomwithrxfunxml2yaml