ArdiaD / DEoptimLinks
Differential evolution in R
☆30Updated 3 years ago
Alternatives and similar repositories for DEoptim
Users that are interested in DEoptim are comparing it to the libraries listed below
Sorting:
- Bayesian DFA with Stan☆29Updated 8 months ago
- R package for bridge sampling☆33Updated 2 months ago
- maximum likelihood estimation package☆25Updated 11 months ago
- R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…☆26Updated 2 months ago
- Code for effectively dealing with running CmdStan... from R.... because reasons...☆13Updated 3 years ago
- R package for calculation of 22 CAnonical Time-series CHaracteristics☆22Updated last year
- Material for my proposed StanCon talk☆20Updated 5 years ago
- Gaussian process modeling in R☆16Updated 3 years ago
- ☆62Updated 2 weeks ago
- General Purpose Optimization in R using C++: provides a unified C++ wrapper to call functions of the algorithms underlying the optim() s…☆21Updated 3 months ago
- Bayesian Inference of Complex Panel Data☆35Updated last week
- Additive quantile regression R package☆35Updated 9 months ago
- Bayesian Linear Mixed Effect Models☆46Updated 2 weeks ago
- Estimation of Time-Varying k-order Mixed Graphical Models☆29Updated 10 months ago
- Regression Spline Functions and Classes☆45Updated 10 months ago
- Automatic forecasting and Bayesian modeling for time series with Stan☆46Updated 7 months ago
- Average marginal estimates for Bayesian models fit with the brms package☆20Updated 3 months ago
- Inverse estimation in R☆24Updated 3 years ago
- Sorted L1 Penalized Estimation☆19Updated last week
- Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.☆48Updated last year
- Bayesian Multivariate GARCH☆18Updated last year
- {gslnls}: GSL multi-start nonlinear least-squares fitting in R☆17Updated 3 months ago
- Tools for building new GAM models in mgcv☆16Updated 7 months ago
- Flexible Bayesian Optimization in R☆26Updated last month
- Hierarchical Dirichlet Process Generalized Linear Models☆12Updated 9 months ago
- A primer on Hidden Markov Models using Stan. A Case Study submitted as a candidate for a contributed talk in StanCon 2018. Under review.☆31Updated 7 years ago
- Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis☆29Updated 5 months ago
- Machine learning explanations☆24Updated 3 months ago
- ☆33Updated 11 months ago
- Bayesian Inference of State Space Models☆47Updated 3 months ago