Alternatives and similar repositories for seqHMM

Users that are interested in seqHMM are comparing it to the libraries listed below

• csgillespie / poweRlaw
  This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Ad…
  ☆114Updated last year
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated 3 months ago
• kingaa / pomp
  R package for statistical inference using partially observed Markov processes
  ☆120Updated 2 months ago
• sumbose / iRF
  iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features
  ☆48Updated 4 years ago
• asardaes / dtwclust
  R Package for Time Series Clustering Along with Optimizations for DTW
  ☆263Updated last week
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆34Updated 3 years ago
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆59Updated 3 months ago
• m-clark / Miscellaneous-R-Code
  Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms.…
  ☆197Updated 5 years ago
• stan-dev / projpred
  Projection predictive variable selection
  ☆114Updated 2 weeks ago
• boboppie / kruschke-doing_bayesian_data_analysis
  John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS
  ☆118Updated 9 years ago
• jkrijthe / RSSL
  A Semi-Supervised Learning package for the R programming language
  ☆58Updated 3 months ago
• erichson / spca
  Sparse Principal Component Analysis (SPCA) using Variable Projection
  ☆71Updated 7 years ago
• dm13450 / dirichletprocess
  Build dirichletprocess objects for data analysis
  ☆62Updated 2 years ago
• pbreheny / ncvreg
  Regularization paths for SCAD- and MCP-penalized regression models
  ☆44Updated last week
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆170Updated 2 years ago
• yanyachen / rBayesianOptimization
  Bayesian Optimization of Hyperparameters
  ☆89Updated last year
• stan-dev / loo
  loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
  ☆155Updated last month
• terrytangyuan / dml
  R package for Distance Metric Learning
  ☆58Updated 2 years ago
• mlr-org / mlrMBO
  Toolbox for Bayesian Optimization and Model-Based Optimization in R
  ☆188Updated 2 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 10 months ago
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆111Updated 2 years ago
• bwlewis / irlba
  Fast truncated singular value decompositions
  ☆133Updated last week
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆89Updated 2 years ago
• xfim / ggmcmc
  Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
  ☆112Updated 4 months ago
• richarddmorey / BayesFactor
  BayesFactor R package for Bayesian data analysis with common statistical models.
  ☆131Updated last year
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 years ago
• mikemeredith / BEST
  Bayesian Estimation Supersedes t-Test
  ☆30Updated 4 years ago
• randel / MixRF
  A random-forest-based approach for imputing clustered incomplete data
  ☆36Updated 8 years ago
• rkillick / changepoint
  A place for the development version of the changepoint package on CRAN.
  ☆139Updated last year
• erichson / rSVD
  Randomized Matrix Decompositions using R
  ☆102Updated 4 years ago