helske / seqHMM
Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences
☆99Updated last 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…☆111Updated 3 months ago
- Bayesian Inference of State Space Models☆43Updated 8 months ago
- Testing version of fdapace☆31Updated 10 months ago
- R package for statistical inference using partially observed Markov processes☆115Updated last week
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year
- Projection predictive variable selection☆112Updated last week
- ARCHIVED Wraps UMAP Algorithm for Dimension Reduction☆112Updated 3 years ago
- biglasso: Extending Lasso Model Fitting to Big Data in R☆114Updated 2 months ago
- NetSciX 2016 workshop on network analysis and visualization with R and igraph☆77Updated 9 years ago
- Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms.…☆196Updated 4 years ago
- netdiffuseR: Analysis of Diffusion and Contagion Processes on Networks☆88Updated this week
- This is a read-only mirror of the CRAN R package repository. glmnet — Lasso and Elastic-Net Regularized Generalized Linear Models. Home…☆87Updated last year
- R Interface to the Spectra Library for Large Scale Eigenvalue and SVD Problems☆81Updated 9 months ago
- A random-forest-based approach for imputing clustered incomplete data☆35Updated 8 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- Variable Importance Plots (VIPs)☆187Updated last year
- R software for selective inference☆34Updated 5 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated last month
- Flexible Imputation of Missing Data - bookdown source☆51Updated 9 months ago
- Regression with functional data☆43Updated 5 months ago
- Case studies on model assessment, model selection and inference after model selection☆171Updated last year
- Translating ML into Bayes, one line at a time☆79Updated last year
- Targeted Learning for Survival Analysis☆21Updated last year
- Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference☆112Updated 2 years ago
- loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)☆153Updated last month
- Fast multivariate imputation by random forests.☆70Updated last month
- Structured Graph Learning via Laplacian Spectral Constraints (NeurIPS 2019)☆59Updated 2 years ago
- Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.☆147Updated 3 weeks ago
- Sparse Principal Component Analysis (SPCA) using Variable Projection☆68Updated 7 years ago
- A Semi-Supervised Learning package for the R programming language☆58Updated last year