Package: predictoR 3.0.5

Oldemar Rodriguez

predictoR: Predictive Data Analysis System

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.

Authors:Oldemar Rodriguez [aut, cre], Diego Jiménez [ctb, prg]

predictoR_3.0.5.tar.gz
predictoR_3.0.5.zip(r-4.7)predictoR_3.0.5.zip(r-4.6)predictoR_3.0.5.zip(r-4.5)
predictoR_3.0.5.tgz(r-4.6-any)predictoR_3.0.5.tgz(r-4.5-any)
predictoR_3.0.5.tar.gz(r-4.7-any)predictoR_3.0.5.tar.gz(r-4.6-any)
predictoR_3.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
predictoR/json (API)

# Install 'predictoR' in R:

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

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

On CRAN:

2.60 score 1 stars 3 scripts 793 downloads 6 exports 155 dependencies

Last updated from:e3bef544bb. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	211
source / vignettes	OK	274
linux-release-x86_64	NOTE	210
macos-release-arm64	NOTE	113
macos-oldrel-arm64	NOTE	150
windows-devel	NOTE	163
windows-release	NOTE	149
windows-oldrel	NOTE	155
wasm-release	OK	126

Exports:e_coeff_landa e_global_gauge e_JS e_posib_lambda e_rf_error run_app

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 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 ModelMetrics neuralnet nlme nnet numDeriv otel parallelly pillar pkgconfig plyr prettyunits pROC prodlim progress progressr promises proxy 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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Coefficients and lambda	e_coeff_landa
Gauge Plot	e_global_gauge
Eval character vectors to JS code	e_JS
Possible lambda	e_posib_lambda
Error Evolution	e_rf_error
Predictive Data Analysis System	predictoR
Run the Shiny Application	run_app