CRAN/E | embed

embed

Extra Recipes for Encoding Predictors

Installation

About

Predictors can be converted to one or more numeric representations using a variety of methods. Effect encodings using simple generalized linear models or nonlinear models can be used. There are also functions for dimension reduction and other approaches.

embed.tidymodels.org
github.com/tidymodels/embed
Bug report File report

Key Metrics

Version 1.1.4
R ≥ 3.6
Published 2024-03-20 37 days ago
Needs compilation? no
License MIT
License File
CRAN checks embed results

Downloads

Yesterday 76 +145%
Last 7 days 336 -32%
Last 30 days 1.800 -9%
Last 90 days 5.062 +14%
Last 365 days 18.507 -28%

Maintainer

Maintainer

Emil Hvitfeldt

emil.hvitfeldt@posit.co

Authors

Emil Hvitfeldt

aut / cre

Max Kuhn

aut

Posit Software
PBC

cph / fnd

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

embed archive

Depends

R ≥ 3.6
recipes ≥ 1.0.7

Imports

glue
dplyr ≥ 1.1.0
generics ≥ 0.1.0
lifecycle
purrr
rlang ≥ 0.4.10
rsample
stats
tibble
tidyr
utils
uwot
withr
vctrs

Suggests

covr
dials ≥ 1.2.0
ggplot2
hardhat
irlba
keras
knitr
lme4
modeldata
rmarkdown
rpart
rstanarm
stringdist
tensorflow
testthat ≥ 3.0.0
VBsparsePCA
xgboost

Reverse Suggests

bundle
tidybins