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-4.5)predictoR_3.0.5.zip(r-4.4)predictoR_3.0.5.zip(r-4.3)
predictoR_3.0.5.tgz(r-4.4-any)predictoR_3.0.5.tgz(r-4.3-any)
predictoR_3.0.5.tar.gz(r-4.5-noble)predictoR_3.0.5.tar.gz(r-4.4-noble)
predictoR_3.0.5.tgz(r-4.4-emscripten)predictoR_3.0.5.tgz(r-4.3-emscripten)
predictoR.pdf |predictoR.html✨
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:

2.90 score 1 stars 3 scripts 667 downloads 6 exports 158 dependencies

Last updated 12 months agofrom:e3bef544bb. Checks:OK: 3 NOTE: 4. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 30 2024
R-4.5-win	NOTE	Oct 30 2024
R-4.5-linux	NOTE	Oct 30 2024
R-4.4-win	NOTE	Oct 30 2024
R-4.4-mac	NOTE	Oct 30 2024
R-4.3-win	OK	Oct 30 2024
R-4.3-mac	OK	Oct 30 2024

Exports:e_coeff_landa e_global_gauge e_JS e_posib_lambda e_rf_error run_app

Dependencies:ada adabag attempt backports base64enc bitops broom bslib cachem caret caTools cellranger class cli clock codetools colorspace colourpicker commonmark config ConsRank corrplot countrycode cpp11 crayon crosstalk data.table Deriv diagram digest doParallel dplyr DT e1071 echarts4r evaluate fansi 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 mgcv mime miniUI ModelMetrics munsell neuralnet nlme nnet numDeriv parallelly pillar pkgconfig plyr prettyunits pROC prodlim progress progressr promises proxy purrr R6 randomForest rappdirs RColorBrewer Rcpp RcppEigen readxl recipes rematch reshape2 rgl rlang rlist rmarkdown ROCR rpart rpart.plot rprojroot rstudioapi sass scales shape shiny shinyAce shinycustomloader shinydashboard shinydashboardPlus shinyjs sourcetools 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