mysml

This Package Contains Supervised Machine Learning Functionality

https://github.com/mmiche/mysml

Science Score: 44.0%

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  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
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  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
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  • Scientific vocabulary similarity
    Low similarity (5.2%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

This Package Contains Supervised Machine Learning Functionality

Basic Info
  • Host: GitHub
  • Owner: mmiche
  • License: other
  • Language: R
  • Default Branch: master
  • Size: 970 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed 9 months ago
Metadata Files
Readme License Citation

README.md

This R package contains custom functions to conduct supervised machine learning in the realm of clinical prediction models.

This is how you can download the package: ```R

Only required if you have not installed the devtools package yet.

install.packages("devtools")

Install mysml from GitHub

devtools::install_github(repo="https://github.com/mmiche/mysml", dependencies = "Imports")

Load the demoSML package

library(mysml)

Open the package documentation.

help(package="mysml") ```

Owner

  • Login: mmiche
  • Kind: user

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: mysml
message: >-
  This Package Contains Supervised Machine Learning
  Functionality
type: software
authors:
  - given-names: Marcel
    family-names: Miché
    email: marcel.miche.predictme@gmail.com
    orcid: 'https://orcid.org/0000-0001-8838-1749'
url: 'https://github.com/mmiche/mysml'
keywords:
  - supervised machine learning
  - decision analysis
license: MIT
version: 0.1.0
date-released: '2024-08-06'

GitHub Events

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  • Push event: 3
Last Year
  • Push event: 3

Dependencies

DESCRIPTION cran
  • R >= 4.0.0 depends
  • CalibratR * imports
  • Rdpack * imports
  • dplyr * imports
  • forcats * imports
  • magrittr * imports
  • rms * imports
  • tibble * imports
  • tidyr * imports
  • knitr * suggests
  • rmarkdown * suggests