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-4.5)mpae_0.1.2.zip(r-4.4)mpae_0.1.2.zip(r-4.3)
mpae_0.1.2.tgz(r-4.4-any)mpae_0.1.2.tgz(r-4.3-any)
mpae_0.1.2.tar.gz(r-4.5-noble)mpae_0.1.2.tar.gz(r-4.4-noble)
mpae_0.1.2.tgz(r-4.4-emscripten)mpae_0.1.2.tgz(r-4.3-emscripten)
mpae.pdf |mpae.html✨
mpae/json (API)
NEWS

# 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

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:

3.22 score 11 scripts 174 downloads 3 exports 143 dependencies

Last updated 8 months agofrom:7d0b2f835e. Checks:OK: 3 NOTE: 4. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 27 2024
R-4.5-win	OK	Oct 27 2024
R-4.5-linux	OK	Oct 27 2024
R-4.4-win	NOTE	Oct 27 2024
R-4.4-mac	NOTE	Oct 27 2024
R-4.3-win	NOTE	Oct 27 2024
R-4.3-mac	NOTE	Oct 27 2024

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 fansi farver fastmap fontawesome forcats foreach foreign Formula 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 lubridate magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime minqa ModelMetrics modelr munsell nlme nloptr nnet nortest numDeriv parallelly pbkrtest pillar pkgconfig plyr prettyunits pROC prodlim progress progressr proxy purrr quantreg R6 rappdirs RcmdrMisc RColorBrewer Rcpp RcppEigen readr readstata13 readxl recipes rematch reshape2 rlang rmarkdown rpart rstudioapi sandwich sass scales shape SparseM SQUAREM stringi stringr survival tibble tidyr tidyselect timechange timeDate tinytex tzdb utf8 vctrs viridis 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)