Package: mpae 0.1.2

mpae: Metodos Predictivos de Aprendizaje Estadistico (Statistical Learning Predictive Methods)

Functions and datasets used in the book: Fernandez-Casal, R., Costa, J. and Oviedo-de la Fuente, M. (2024) "Metodos predictivos de aprendizaje estadistico" <https://rubenfcasal.github.io/aprendizaje_estadistico/>.

Authors:Ruben Fernandez-Casal [aut, cre], Manuel Oviedo-de la Fuente [aut], Julian Costa-Bouzas [aut]

mpae_0.1.2.tar.gz
mpae_0.1.2.zip(r-4.7-any)mpae_0.1.2.zip(r-4.6-any)mpae_0.1.2.zip(r-4.5-any)
mpae_0.1.2.tgz(r-4.6-any)mpae_0.1.2.tgz(r-4.5-any)
mpae_0.1.2.tar.gz(r-4.7-any)mpae_0.1.2.tar.gz(r-4.6-any)
mpae_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mpae/json (API)

# Install 'mpae' in R:

install.packages('mpae', repos = c('https://rubenfcasal.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rubenfcasal/mpae/issues

Pkgdown/docs site:https://rubenfcasal.github.io

Datasets:

bfan - Above normal body fat data
bodyfat - Body fat data
bodyfat.raw - Original body fat data
hbat - HBAT data
winequality - Wine quality data
winetaste - Wine taste data

On CRAN:

2.74 score 11 scripts 295 downloads 3 exports 149 dependencies

Last updated from:7d0b2f835e. Checks:9 OK. Indexed: yes.

Target	Result	Time	Files	Syslog
linux-devel-x86_64	OK	223
source / vignettes	OK	239
linux-release-x86_64	OK	220
macos-release-arm64	OK	108
macos-oldrel-arm64	OK	105
windows-devel	OK	137
windows-release	OK	138
windows-oldrel	OK	153
wasm-release	OK	190

Exports:accuracy pred.plot scaled.coef

Dependencies:abind backports base64enc bit bit64 boot broom bslib cachem car carData caret cellranger checkmate class cli clipr clock cluster codetools colorspace cowplot cpp11 crayon data.table Deriv diagram digest doBy dplyr e1071 evaluate farver fastmap fontawesome forcats foreach forecast foreign Formula fracdiff fs future future.apply generics ggplot2 globals glue gower gridExtra gtable hardhat haven highr Hmisc hms htmlTable htmltools htmlwidgets ipred isoband iterators jquerylib jsonlite KernSmooth knitr labeling lattice lava lifecycle listenv lme4 lmtest lubridate magrittr MASS Matrix MatrixModels memoise mgcv mime minqa ModelMetrics modelr nlme nloptr nnet nortest numDeriv parallelly pbkrtest pillar pkgconfig plyr prettyunits pROC prodlim progress progressr proxy purrr quantreg R6 rappdirs rbibutils RcmdrMisc RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack readr readstata13 readxl recipes reformulas rematch reshape2 rlang rmarkdown rpart rstudioapi S7 sandwich sass scales shape SparseM sparsevctrs SQUAREM stringi stringr survival tibble tidyr tidyselect timechange timeDate tinytex tzdb urca utf8 vctrs viridisLite vroom withr xfun yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
mpae: Métodos predictivos de aprendizaje estadístico (statistical learning predictive methods)	mpae-package mpae
Accuracy measures	accuracy
Above normal body fat data	bfan
Body fat data	bodyfat
Original body fat data	bodyfat.raw
HBAT data	hbat
Observed vs. predicted plots	pred.plot pred.plot.default pred.plot.factor
Scaled (standardized) coefficients	scaled.coef scaled.coef.default
Wine quality data	winequality
Wine taste data	winetaste

Usage by other packages (reverse dependencies)