MachineShop
3.9.3Machine Learning Models and Tools
Overview
Meta-package for statistical and machine learning with a unified interface for model fitting, prediction, performance assessment, and presentation of results. Approaches for model fitting and prediction of numerical, categorical, or censored time-to-event outcomes include traditional regression models, regularization methods, tree-based methods, support vector machines, neural networks, ensembles, data preprocessing, filtering, and model tuning and selection. Performance metrics are provided for model assessment and can be estimated with independent test sets, split sampling, cross-validation, or bootstrap resampling. Resample estimation can be executed in parallel for faster processing and nested in cases of model tuning and selection. Modeling results can be summarized with descriptive statistics; calibration curves; variable importance; partial dependence plots; confusion matrices; and ROC, lift, and other performance curves.
Install
Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-0313 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0811 OK · 0 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE
- OK2026-04-0814 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-0713 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 41%
- Documented parameters
- 88%
- Return-value docs
- 95%
- References docs
- 10%
Downloads
Repository
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
Repository practices
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/brian-j-smith/machineshop on 2026-07-31.
Dependencies
Code & Tests
Datasets
People & History
37 releases. Pick two to compare their code metrics. R releases are shown for context.
- 3.9.3Latest
- RR 4.6.0 released · 2026-04-24
- 3.9.22026-01-30 · diff ↗
- 3.9.12025-12-16 · diff ↗
- 3.9.02025-06-09 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 3.8.02024-08-19 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 3.7.02023-09-18 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 3.6.22023-03-21 · diff ↗
- 3.6.12023-02-01 · diff ↗
- 3.6.02022-09-05 · diff ↗
- 3.5.02022-06-03 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 3.4.02022-03-16 · diff ↗
Show 32 earlier events
- 3.3.02022-02-09 · diff ↗
- 3.2.02021-12-06 · diff ↗
- 3.1.02021-10-01 · diff ↗
- 3.0.02021-08-19 · diff ↗
- 2.9.02021-06-18 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 2.8.02021-04-16 · diff ↗
- 2.7.02021-03-02 · diff ↗
- 2.6.12021-01-26 · diff ↗
- unarchivedReturned to CRAN2021-01-26
- archivedRemoved from CRAN2021-01-20check problems were not corrected in time
- 2.6.02021-01-19 · diff ↗
- 2.5.02020-08-06 · diff ↗
- 2.4.02020-06-05 · diff ↗
- 2.3.02020-05-14 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 2.2.02020-03-18 · diff ↗
- 2.1.02020-02-09 · diff ↗
- 2.0.02019-12-10 · diff ↗
- 1.6.02019-10-11 · diff ↗
- 1.5.02019-08-01 · diff ↗
- 1.4.02019-06-08 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 1.3.02019-04-23 · diff ↗
- 1.2.02019-02-15 · diff ↗
- 1.1.02019-01-23 · diff ↗
- 1.0.02019-01-02 · diff ↗
- 0.4.02018-12-13 · diff ↗
- 0.3.02018-11-23 · diff ↗
- 0.2.02018-11-19 · diff ↗
- 0.1-12018-10-14
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-10-14
- Total releases
- 37 / 8 yrs
- License
- GPL-3 OSI
- Additional repositories
- brian-j-smith.github.io
- Minimum R
- ≥ 4.1.0
- Bundled data
- 19 KB / 1 file
- Download size
- 1.4 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet