Package: IOLS 0.1.4

IOLS: Iterated Ordinary Least Squares Regression

Addresses the 'log of zero' by developing a new family of estimators called iterated Ordinary Least Squares. This family nests standard approaches such as log-linear and Poisson regressions, offers several computational advantages, and corresponds to the correct way to perform the popular log(Y + 1) transformation. For more details about how to use it, see the notebook at: <https://www.davidbenatia.com/>.

Authors:Nassim Zbalah [cre], David Benatia [aut]

IOLS_0.1.4.tar.gz
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IOLS.pdf |IOLS.html✨
IOLS/json (API)

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6 exports 0.00 score 91 dependencies 274 downloads

Last updated 1 years agofrom:e6b5bab263. Checks:OK: 7. Indexed: yes.

Exports:iOLSiOLS_pathiOLS_path_plotiOLS_plotlambda_testprint

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacliclustercolorspacecowplotcpp11curlDerivdigestdoBydplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4magrittrMASSmatlibMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6randomcoloRrappdirsRColorBrewerRcppRcppEigenrglrlangrmarkdownRtsnesandwichsassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8V8vctrsviridisLitewithrxfunxtableyamlzoo