tidyfit: Regularized Linear Modeling with Tidy Data
An extension to the 'R' tidy data environment for automated machine learning. The package allows fitting and cross validation of linear regression and classification algorithms on grouped data.
Version:
0.7.4
Depends:
R (≥ 4.1)
Imports:
broom,
crayon,
dials,
dplyr,
furrr,
generics,
MASS, methods,
progressr,
purrr,
rlang,
rsample, stats,
tibble,
tidyr, utils,
vctrs,
yardstick
Suggests:
arm,
bestglm,
BMS,
BoomSpikeSlab,
CORElearn,
e1071,
gaselect,
gets,
gglasso,
ggplot2,
glmnet,
hfr,
iml,
kableExtra,
knitr,
lme4,
lmtest,
lubridate,
markdown,
mboost,
monomvn,
mRMRe,
MSwM,
nnet,
pls,
quantreg,
quantregForest,
randomForest,
sandwich,
sensitivity,
shrinkTVP,
stringr,
rmarkdown,
testthat (≥ 3.0.0)
Published:
2025年04月29日
Author:
Johann Pfitzinger [aut, cre]
Maintainer:
Johann Pfitzinger <johann.pfitzinger at gmail.com>
NeedsCompilation:
no
Documentation:
Downloads:
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