helske / seqHMMLinks
Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences
☆100Updated this week
Alternatives and similar repositories for seqHMM
Users that are interested in seqHMM are comparing it to the libraries listed below
Sorting:
- This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Ad…☆114Updated last year
- An R package for large scale estimation with stochastic gradient descent☆62Updated 3 months ago
- Path algorithm for generalized lasso problems☆34Updated 3 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆59Updated 3 months ago
- iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features☆48Updated 4 years ago
- R Package for Time Series Clustering Along with Optimizations for DTW☆263Updated last week
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- R package for statistical inference using partially observed Markov processes☆120Updated 2 months ago
- Sparse Principal Component Analysis (SPCA) using Variable Projection☆71Updated 7 years ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 8 years ago
- John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS☆118Updated 9 years ago
- Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty☆76Updated 4 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 10 months ago
- Dimensionality reduction for binary data☆51Updated 5 years ago
- Define Stan models using glmer-style (lme4) formulas☆55Updated 11 years ago
- Projection predictive variable selection☆114Updated 2 weeks ago
- loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)☆155Updated last month
- Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms.…☆197Updated 5 years ago
- Fast truncated singular value decompositions☆133Updated last week
- A Semi-Supervised Learning package for the R programming language☆58Updated 3 months ago
- Bayesian Optimization of Hyperparameters☆89Updated last year
- Randomized Matrix Decompositions using R☆102Updated 4 years ago
- ☆33Updated 4 months ago
- NetSciX 2016 workshop on network analysis and visualization with R and igraph☆77Updated 10 years ago
- A random-forest-based approach for imputing clustered incomplete data☆36Updated 8 years ago
- Feature Selection in R using glmnet-lasso, xgboost and ranger☆56Updated last year
- An R-Java Bayesian Additive Regression Trees implementation☆64Updated 2 weeks ago
- Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…☆77Updated last year
- A Framework for Dimensionality Reduction in R☆73Updated 9 months ago
- R package for Distance Metric Learning☆58Updated 2 years ago