Package: regressoR 4.0.8

Oldemar Rodriguez

regressoR: Regression Data Analysis System

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.

Authors:Oldemar Rodriguez [aut, cre], Andres Navarro D. [ctb, prg], Diego Jimenez A. [ctb, prg], Ariel Arroyo S. [ctb, prg], Joseline Quiros M. [ctb, prg], Alejandro Vargas V. [ctb, prg], Jennifer Lobo V. [ctb, prg]

regressoR_4.0.8.tar.gz
regressoR_4.0.8.tar.gz(r-4.7-any)regressoR_4.0.8.tar.gz(r-4.6-any)
regressoR_4.0.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
regressoR/json (API)
NEWS

# Install 'regressoR' in R:

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

Bug tracker:https://github.com/promidat/predictor/issues

On CRAN:

1.60 score 2 stars 598 downloads 16 exports 159 dependencies

Last updated from:2f7e8abb85. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	253
source / vignettes	OK	250
linux-release-x86_64	OK	200
wasm-release	OK	169

Exports:as_string_c e_boost_evol_error e_boost_importance e_coeff_lambda e_JS e_posib_lambda e_rf_error e_rndf_importance e.rdim.rmse e.rdim.vare exe extract_code general.indices plot_real_prediction run_app summary_indices

Dependencies:adabag attempt backports base64enc bitops broom bslib cachem caret caTools cellranger class cli clock codetools colourpicker commonmark config ConsRank corrplot countrycode cpp11 crayon crosstalk data.table Deriv diagram digest doParallel dplyr DT e1071 echarts4r evaluate farver fastmap fontawesome foreach fresh fs future future.apply gbm generics ggplot2 glmnet globals glue golem gower GPArotation gplots gtable gtools hardhat here highr hms htmltools htmlwidgets httpuv igraph ipred isoband iterators jquerylib jsonlite KernSmooth kknn knitr labeling later lattice lava lazyeval lifecycle listenv loadeR lubridate magrittr MASS Matrix memoise mime miniUI mnormt ModelMetrics neuralnet nlme nnet numDeriv otel parallelly pillar pkgconfig pls plyr prettyunits pROC prodlim progress progressr promises proxy psych purrr R6 randomForest rappdirs RColorBrewer Rcpp RcppEigen readxl recipes rematch reshape2 rlang rlist rmarkdown ROCR rpart rpart.plot rprojroot rstudioapi S7 sass scales shape shiny shinyAce shinycustomloader shinydashboard shinydashboardPlus shinyjs sourcetools sparsevctrs SQUAREM stringi stringr survival tibble tidyr tidyselect timechange timeDate tinytex traineR tzdb utf8 vctrs viridisLite waiter withr writexl xfun xgboost XML xtable yaml

Help page	Topics
as_string_c	as_string_c
Error Evolution	e_boost_evol_error
Var importance Adabag	e_boost_importance
Coefficients and lambda	e_coeff_lambda
Eval character vectors to JS code	e_JS
Possible lambda	e_posib_lambda
Error Evolution	e_rf_error
Var importance Random Forest	e_rndf_importance
e.rdim.rmse	e.rdim.rmse
plot_pred_rd	e.rdim.vare
exe	exe
extract_code	extract_code
general.indices	general.indices
plot_real_prediction	plot_real_prediction
Regression Data Analysis System	regressoR-package regressoR
Run the Shiny Application	run_app
summary_indices	summary_indices

Package: regressoR 4.0.8

regressoR: Regression Data Analysis System

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Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)