ayakubovich / EM
Getting started with the Expectation Maximization algorithm, Mixture Models and Hidden Markov Models
☆19Updated 9 years ago
Related projects ⓘ
Alternatives and complementary repositories for EM
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 6 years ago
- Define Stan models using glmer-style (lme4) formulas☆55Updated 10 years ago
- Slideshow, papers, and example R scripts to demonstrate shrinkage/partial pooling and prediction in hieararchical models☆15Updated 9 years ago
- experiments with the R package TSclust☆11Updated 9 years ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆19Updated 9 months ago
- JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts☆22Updated 8 years ago
- Preparing Experimental Data for Statistical Analysis☆15Updated 5 years ago
- subsemble R package for ensemble learning on subsets of data☆43Updated 2 years ago
- Data from the M-competitions☆12Updated 4 months ago
- ☆11Updated 7 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 6 years ago
- Course materials for Stat 243, fall 2016, at UC Berkeley☆9Updated 7 years ago
- An introduction to R, RStudio, and RMarkdown created with GitHub pages and bookdown package☆36Updated 3 weeks ago
- A guide to parallel R, including OpenMP. Kind of.☆37Updated 9 years ago
- "Exploratory Data Analysis using Random Forests"☆18Updated 8 years ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆23Updated last year
- Code used to compare sentiments of various sermons☆24Updated 12 years ago
- R code to generate simulated data and implement the hierarchical TMLEs described in "A new approach to hierarchical data analysis: Target…☆9Updated 5 years ago
- ☆9Updated 4 years ago
- Bayesian Linear Mixed Effect Models☆41Updated 2 months ago
- ☆16Updated 3 years ago
- Draft syllabus for the Data Challenge Lab☆23Updated 7 years ago
- Learning Discrete Bayesian Network Classifiers from Data☆18Updated 8 months ago
- timereg R package, survival analysis methods☆30Updated 2 months ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆23Updated 2 years ago
- R-package: Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression …☆14Updated 3 weeks ago
- Restricted Boltzmann Machines in R☆36Updated 4 years ago
- Time Series Forecasting Using KNN☆11Updated 11 months ago
- We would like create Bayesian workflows following "A quick-start introduction to Stan for economists" by Jim Savage for all example model…☆16Updated 7 years ago
- Information Value CRAN Pkg: Performance Analysis and companion functions that aid binary classification models like that of logistic regr…☆16Updated 3 years ago