jolars / SLOPE
Sorted L1 Penalized Estimation
☆17Updated this week
Alternatives and similar repositories for SLOPE:
Users that are interested in SLOPE are comparing it to the libraries listed below
- Flexible Mixed Integer Evolutionary Strategies☆15Updated last week
- Fast computation of some matrices useful in statistics☆19Updated last year
- Tidy methods for Bayesian treatment effect models☆16Updated last month
- Rcpp Bindings to FastAD Automatic Differentiation☆10Updated 5 months ago
- R package for weighted model metrics☆11Updated 7 months ago
- General Purpose Optimization in R using C++: provides a unified C++ wrapper to call functions of the algorithms underlying the optim() s…☆20Updated 2 years ago
- Targeted inference (R package) https://kkholst.github.io/targeted/☆11Updated this week
- Tools for building new GAM models in mgcv☆15Updated last month
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆12Updated 3 years ago
- Kernel k Nearest Neighbors in R☆17Updated 2 years ago
- ☆18Updated 6 months ago
- (R) Efficient methods and operators for the sparse matrix classes in 'Matrix' (esp. CSR format or "RsparseMatrix")☆21Updated 8 months ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated last month
- Inverse estimation in R☆22Updated 2 years ago
- Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).☆18Updated 2 months ago
- Neural Networks package for R with a fast C++ back-end and special support for unsupervised anomaly detection using autoencoders☆13Updated 4 years ago
- Sparse matrix format with data on disk☆10Updated 6 months ago
- ☆9Updated 8 years ago
- Tools for automatically generating local sensitivity measures in Stan.☆35Updated 4 years ago
- ☆19Updated last year
- R implementation of advanced optimizers for torch☆26Updated last year
- Black-box optimization framework for R.☆22Updated 3 weeks ago
- Differential evolution in R☆29Updated 2 years ago
- Bayesian nonparametric clustering in R using DP-means☆12Updated 5 years ago
- Filter-based feature selection for mlr3☆20Updated last month
- Enhanced Fork-Based Parallelization for R☆14Updated last year
- Machine learning explanations☆22Updated 7 months ago
- A Toolkit for Calculating and Working with Propensity Scores☆19Updated last week
- Flexible Bayesian Optimization in R☆25Updated this week
- R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…☆25Updated 5 months ago