Machine Learning and Visualization R package rtemis version 1.0.0 Machine learning and visualization package with an 'S7' backend featuring comprehensive type checking and validation, paired with an efficient functional user-facing API. train(), cluster(), and decomp() provide one-call access to supervised and unsupervised learning. All configuration steps are performed using setup functions and validated. A single call to train() handles preprocessing, hyperparameter tuning, and testing with nested resampling. Supports 'data.frame', 'data.table', and 'tibble' inputs, parallel execution, and interactive visualizations. The package first appeared in E.D. Gennatas (2017) <https://repository.upenn.edu/entities/publication/d81892ea-3087-4b71-a6f5-739c58626d64>. Software Depends: R (>= 4.1.0) Imports: grDevices, graphics, stats, methods, utils, S7, data.table, future, htmltools, cli Suggests: arrow, bit64, car, colorspace, DBI, dbscan, dendextend (>= 0.18.0), duckdb, e1071, farff, fastICA, flexclust, future.apply, future.mirai, futurize, geosphere, ggplot2, glmnet, geojsonio, glue, grid, gsubfn, haven, heatmaply, htmlwidgets, igraph, jsonlite, leaflet, leaps, lightAUC, lightgbm, matrixStats, mgcv, mice, mirai, missRanger, networkD3, NMF, openxlsx, parallelly, partykit, plotly, pROC, progressr, psych, pvclust, ranger, reactable, readxl, reticulate, ROCR, rpart, Rtsne, seqinr, sf, shapr, survival, tabnet, threejs, testthat (>= 3.0.0), tibble, timeDate, toml, torch, uwot, vegan, vroom, withr E.D. Gennatas <gennatas@gmail.com> Comprehensive R Archive Network (CRAN) E.D. Gennatas [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-9280-3609>) GPL (>= 3) 2026-03-26 application/tgz https://CRAN.R-project.org/package=rtemis doi:10.32614/CRAN.package.rtemis