MachineShop

Machine Learning Models and Tools

Meta-package for statistical and machine learning with a common interface for model fitting, prediction, performance assessment, and presentation of results. Supports predictive modeling of numerical, categorical, and censored time-to-event outcomes and resample (bootstrap and cross-validation) estimation of model performance.

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Description file content

Package
MachineShop
Type
Package
Title
Machine Learning Models and Tools
Version
0.1-1
Date
2018-10-02
Author
Brian J Smith [aut, cre]
Maintainer
Brian J Smith
Description
Meta-package for statistical and machine learning with a common interface for model fitting, prediction, performance assessment, and presentation of results. Supports predictive modeling of numerical, categorical, and censored time-to-event outcomes and resample (bootstrap and cross-validation) estimation of model performance.
Imports
abind, foreach, ggplot2, Hmisc, irr, kernlab, magrittr, methods, MLmetrics, ModelMetrics, party, recipes, rsample, survival, survivalROC, utils
Suggests
C50, doParallel, gbm, glmnet, kableExtra, knitr, MASS, nnet, pls, randomForest, rmarkdown, rms, testthat
License
GPL-3
URL
BugReports
https://github.com/brian-j-smith/MachineShop/issues
RoxygenNote
6.1.0
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2018-10-02 19:09:28 UTC; bjsmith
Repository
CRAN
Date/Publication
2018-10-14 15:30:19 UTC

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