helske / seqHMMLinks
Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences
☆100Updated 3 months ago
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…☆113Updated 10 months ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated last month
- R package for statistical inference using partially observed Markov processes☆118Updated last month
- R Package for Time Series Clustering Along with Optimizations for DTW☆263Updated 3 months ago
- Variable importance through targeted causal inference, with Alan Hubbard☆59Updated last month
- Path algorithm for generalized lasso problems☆33Updated 3 years ago
- iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features☆48Updated 4 years ago
- Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms.…☆197Updated 5 years ago
- BayesFactor R package for Bayesian data analysis with common statistical models.☆131Updated last year
- loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)☆155Updated this week
- Case studies on model assessment, model selection and inference after model selection☆170Updated last year
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 8 years ago
- Projection predictive variable selection☆113Updated 2 weeks ago
- John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS☆119Updated 9 years ago
- ☆32Updated 2 months ago
- rTensor v1.2☆35Updated 8 years ago
- Sparse Principal Component Analysis (SPCA) using Variable Projection☆71Updated 7 years ago
- A Semi-Supervised Learning package for the R programming language☆58Updated 2 months ago
- energy package for R☆47Updated last year
- Dimensionality reduction for binary data☆51Updated 5 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 8 months ago
- Randomized Matrix Decompositions using R☆102Updated 4 years ago
- Various tools for linear, nonlinear and nonparametric regression.☆125Updated 2 months ago
- Inside every classical test there is a Bayesian model trying to get out.☆326Updated 9 years ago
- Bayesian Optimization of Hyperparameters☆87Updated last year
- NetSciX 2016 workshop on network analysis and visualization with R and igraph☆77Updated 9 years ago
- Materials from Stan conferences☆255Updated 5 years ago
- Toolbox for Bayesian Optimization and Model-Based Optimization in R☆188Updated 2 years ago
- Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference☆111Updated 2 months ago
- Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.☆150Updated 3 months ago