Package: MSML 1.0.0.1

MSML: Model Selection Based on Machine Learning (ML)

Model evaluation based on a modified version of the recursive feature elimination algorithm. This package is designed to determine the optimal model(s) by leveraging all available features.

Authors:Hong Lee [aut, cph], Moksedul Momin [aut, cre, cph]

MSML_1.0.0.1.tar.gz
MSML_1.0.0.1.zip(r-4.7)MSML_1.0.0.1.zip(r-4.6)MSML_1.0.0.1.zip(r-4.5)
MSML_1.0.0.1.tgz(r-4.6-any)MSML_1.0.0.1.tgz(r-4.5-any)
MSML_1.0.0.1.tar.gz(r-4.7-any)MSML_1.0.0.1.tar.gz(r-4.6-any)
MSML_1.0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MSML/json (API)

# Install 'MSML' in R:
install.packages('MSML', repos = c('https://mommy003.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mommy003/msml/issues

Datasets:
  • cov_train - 3 sets of covariates for training data set
  • cov_valid - 3 sets of covariates for validation data set
  • data_test - 7 sets of PRSs for test dataset and target phenotype
  • data_train - 7 sets of PRSs for training data set and target phenotype
  • data_valid - 7 sets of PRSs for validation dataset and target phenotype
  • predict_validation - Target phenotype and 127 sets of model configurations based on validation dataset

On CRAN:

Conda:

2.70 score 1 scripts 183 downloads 3 exports 2 dependencies

Last updated from:f1efe2aadf. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK104
source / vignettesOK154
linux-release-x86_64OK103
macos-release-arm64OK172
macos-oldrel-arm64OK184
windows-develOK77
windows-releaseOK60
windows-oldrelOK54
wasm-releaseOK90

Exports:model_configurationmodel_configuration2model_evaluation

Dependencies:r2reduxR2ROC