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…
  ☆113Updated 5 months ago
• randel / MixRF
  A random-forest-based approach for imputing clustered incomplete data
  ☆35Updated 8 years ago
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆171Updated last year
• selective-inference / R-software
  R software for selective inference
  ☆35Updated 5 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 3 months ago
• kingaa / pomp
  R package for statistical inference using partially observed Markov processes
  ☆116Updated 2 weeks ago
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆57Updated last month
• functionaldata / tPACE
  Testing version of fdapace
  ☆31Updated last year
• kateto / R-igraph-Network-Workshop-NetSciX
  NetSciX 2016 workshop on network analysis and visualization with R and igraph
  ☆77Updated 9 years ago
• saberpowers / causalLearning
  Methods for heterogeneous treatment effect estimation
  ☆24Updated 3 years ago
• cran / glmnet
   This is a read-only mirror of the CRAN R package repository. glmnet — Lasso and Elastic-Net Regularized Generalized Linear Models. Home…
  ☆89Updated last month
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆80Updated 2 years ago
• sumbose / iRF
  iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features
  ☆47Updated 4 years ago
• stefvanbuuren / fimdbook
  Flexible Imputation of Missing Data - bookdown source
  ☆51Updated 10 months ago
• pbreheny / ncvreg
  Regularization paths for SCAD- and MCP-penalized regression models
  ☆43Updated 3 months ago
• dm13450 / dirichletprocess
  Build dirichletprocess objects for data analysis
  ☆59Updated last year
• hredestig / pcaMethods
  Perform PCA on data with missing values in R
  ☆51Updated last year
• jknowles / merTools
  Convenience functions for working with merMod objects from lme4
  ☆104Updated last year
• ropensci-archive / umapr
  ARCHIVED Wraps UMAP Algorithm for Dimension Reduction
  ☆112Updated 3 years ago
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆109Updated last year
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆69Updated 11 months ago
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆32Updated 2 years ago
• chjackson / msm
  The msm R package for continuous-time multi-state modelling of panel data
  ☆62Updated 7 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.…
  ☆196Updated 4 years ago
• xfim / ggmcmc
  Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
  ☆112Updated 2 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆80Updated 9 months ago
• milkha / Splines_in_Stan
  Implementation of B-Splines in Stan
  ☆51Updated 7 years ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆66Updated 4 years ago
• boboppie / kruschke-doing_bayesian_data_analysis
  John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS
  ☆117Updated 8 years ago