mlr3proba - Probabilistic Supervised Learning for 'mlr3'
Provides extensions for probabilistic supervised learning for 'mlr3'. This currently includes survival analysis, probabilistic regression and density estimation.
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density-estimationmachine-learningmlr3supervised-learningsurvival-analysiscpp
8.12 score 150 stars 1 dependents 322 scripts 138 downloadsCoxBoost - Cox Models by Likelihood Based Boosting for a Single Survival Endpoint or Competing Risks
Provides routines for fitting Cox models by likelihood based boosting for single event survival data with right censoring or in the presence of competing risks. The methodology is described in Binder and Schumacher (2008) <doi:10.1186/1471-2105-9-14> and Binder et al. (2009) <doi:10.1093/bioinformatics/btp088>.
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7.00 score 11 stars 2 dependents 303 scripts 901 downloadsusefun - A Collection of Useful Functions by John
A set of general functions that I have used in various projects and other R packages. Miscellaneous operations on data frames, matrices and vectors, ROC and PR statistics.
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functions
4.32 score 4 stars 105 scripts 307 downloadsrtemps - R Templates for Reproducible Data Analyses
A collection of R Markdown templates for nicely structured, reproducible data analyses in R. The templates have embedded examples on how to write citations, footnotes, equations and use colored message/info boxes, how to cross-reference different parts/sections in the report, provide a nice table of contents (toc) with a References section and proper R session information as well as examples using DT tables and ggplot2 graphs. The bookdown Lite template theme supports code folding.
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r-templatesrmarkdownrmarkdown-templatesrstudio
4.26 score 36 stars 3 scripts 280 downloads
mlr3cmprsk - Competing Risks Machine Learning for 'mlr3'
Provides a unified interface for right-censored competing risks tasks in 'mlr3'.
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competing-risksmachine-learningsurvival-analysis
3.38 score 2 stars 1 dependents 4 scriptsfastVoteR - Efficient Voting Methods for Committee Selection
A fast 'Rcpp'-based implementation of polynomially-computable voting theory methods for committee ranking and scoring. The package includes methods such as Approval Voting (AV), Satisfaction Approval Voting (SAV), sequential Proportional Approval Voting (PAV), and sequential Phragmen's Rule. Weighted variants of these methods are also provided, allowing for differential voter influence.
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borda-countrankingrcppvoting-methodscpp
3.20 score 1 stars 6 scripts 1.6k downloads