Alternatives and similar repositories for mHealthModeration

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

• vasishth / BayesLMMTutorial
  Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html
  ☆83Updated 9 years ago
• soerenkuenzel / hte
  ☆34Updated 3 years ago
• migariane / SIM-TMLE-tutorial
  Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
  ☆18Updated 5 years ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆70Updated last year
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• bd2kccd / r-causal
  R Wrapper for Tetrad Library
  ☆35Updated last year
• osofr / tmlenet
  Targeted Maximum Likelihood Estimation for Network Data
  ☆20Updated 8 years ago
• romainkp / stremr
  Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
  ☆41Updated last year
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 7 years ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 years ago
• kathoffman / steroids-trial-emulation
  Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…
  ☆53Updated 2 years ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated last year
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆29Updated 9 years ago
• donaldRwilliams / BGGM
  Bayesian Gaussian Graphical Models
  ☆57Updated 3 weeks ago
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆58Updated last week
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆81Updated 2 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆22Updated 6 months ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆75Updated last month
• BS1125 / CMAverse
  A suite of functions for reproducible causal mediation analyses
  ☆63Updated 7 months ago
• selective-inference / R-software
  R software for selective inference
  ☆35Updated 6 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 5 years ago
• tyarkoni / PPS2016
  Supplemental notebooks for Yarkoni & Westfall (2016)
  ☆25Updated 8 years ago
• jenfb / bkmr
  Bayesian kernel machine regression
  ☆60Updated 10 months ago
• BayesianTestsML / tutorial
  Tutorial on Bayesian tests for Machine Learning
  ☆79Updated 4 years ago
• stefvanbuuren / fimdbook
  Flexible Imputation of Missing Data - bookdown source
  ☆50Updated last year
• williazo / mvGPS
  Tools for estimating causal effects for multivariate continuous exposures
  ☆13Updated 3 years ago
• joshuaschwab / ltmle
  Longitudinal Targeted Maximum Likelihood Estimation package
  ☆26Updated 2 years ago
• benkeser / survtmle
  Targeted Learning for Survival Analysis
  ☆23Updated last year
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆82Updated last month