Alternatives and similar repositories for grpregOverlap

Users that are interested in grpregOverlap are comparing it to the libraries listed below

• pbreheny / grpreg
  Regularization paths for regression models with grouped covariates
  ☆35Updated 2 weeks ago
• hofnerb / stabs
  Stability Selection with Error Control
  ☆26Updated 4 years ago
• kisungyou / Rdimtools
  Dimension Reduction and Estimation Methods
  ☆55Updated 3 months ago
• selective-inference / R-software
  R software for selective inference
  ☆36Updated 6 years ago
• pbreheny / ncvreg
  Regularization paths for SCAD- and MCP-penalized regression models
  ☆44Updated 2 weeks ago
• nanxstats / hdnom
  🔮 Benchmarking and visualization toolkit for penalized Cox models
  ☆46Updated 6 months ago
• erichson / spca
  Sparse Principal Component Analysis (SPCA) using Variable Projection
  ☆71Updated 7 years ago
• drizopoulos / JMbayes
  Joint Models for Longitudinal and Survival Data using MCMC
  ☆59Updated 4 years ago
• RobinDenz1 / adjustedCurves
  An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative inc…
  ☆42Updated 4 months ago
• sumbose / iRF
  iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features
  ☆48Updated 4 years ago
• jaredhuling / fastglm
  Fast glm fitting via RcppEigen
  ☆59Updated last week
• dajmcdon / sparsegl
  ☆17Updated 3 months ago
• lingxuez / sLED
  An R package for testing high-dimensional covariance matrices
  ☆11Updated 8 years ago
• ramhiser / datamicroarray
  A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.
  ☆107Updated 9 years ago
• vdorie / blme
  Bayesian Linear Mixed Effect Models
  ☆46Updated 10 months ago
• jenfb / bkmr
  Bayesian kernel machine regression
  ☆62Updated last year
• dm13450 / dirichletprocess
  Build dirichletprocess objects for data analysis
  ☆61Updated 2 years ago
• pbreheny / biglasso
  biglasso: Extending Lasso Model Fitting to Big Data in R
  ☆115Updated 2 weeks ago
• boost-R / FDboost
  Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).
  ☆21Updated 4 months ago
• tlverse / tmle3shift
  🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
  ☆17Updated last year
• jaredhuling / rfunctions
  a set of R functions that I find useful
  ☆20Updated 8 years ago
• imbs-hl / survivalsvm
  Survival Support Vector Analysis
  ☆18Updated 8 months ago
• erichson / rSVD
  Randomized Matrix Decompositions using R
  ☆102Updated 4 years ago
• ClaraHapp / funData
  An S4 class for functional data in R
  ☆14Updated last year
• tlverse / hal9001
  🤠 📿 The Highly Adaptive Lasso
  ☆49Updated last year
• jaredhuling / oem
  Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm
  ☆27Updated last year
• evalclass / precrec
  An R library for accurate and fast calculations of Precision-Recall and ROC curves
  ☆44Updated 7 months ago
• ledell / cvAUC
  Computationally efficient confidence intervals for cross-validated AUC estimates in R
  ☆24Updated 3 years ago
• drizopoulos / JM
  Joint Models for Longitudinal & Survival Data under Maximum Likelihood
  ☆37Updated last year
• hredestig / pcaMethods
  Perform PCA on data with missing values in R
  ☆53Updated 2 years ago