Alternatives and similar repositories for adjustr

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

• ajnafa / Bayesian-IPW
  ☆16Updated 3 years ago
• charlesm93 / StanCon2020
  Code for the talk "Approximate Bayesian inference for latent Gaussian models in Stan"
  ☆13Updated 3 years ago
• andrewheiss / testy-turtle
  📊 📄 Suparna Chaudhry and Andrew Heiss, "Are Donors Really Responding? Analyzing the Impact of Global Restrictions on NGOs"
  ☆10Updated last year
• andrewheiss / quarto-profiles-example
  ☆10Updated 2 years ago
• ropensci / dynamite
  Bayesian Inference of Complex Panel Data
  ☆31Updated last month
• saudiwin / ordbetareg
  Paper repository for "Ordered Beta Regression" (Kubinec 2022). For R package ordbetareg, see Github repo www.github.com/saudiwin/ordbetar…
  ☆16Updated 2 years ago
• paul-buerkner / Bayesian-IRT-paper
  This repository contains all materials for the paper "Bayesian Item Response Modelling in R Using brms and Stan" by Paul Bürkner.
  ☆28Updated last year
• andrewheiss / bayesf22-notebook
  ☆18Updated 2 years ago
• becarioprecario / INLAMCMC_examples
  Examples on INLA within MCMC
  ☆11Updated 8 years ago
• bgoodri / StanCon2020
  Material for my proposed StanCon talk
  ☆20Updated 4 years ago
• kaz-yos / bayes2018
  My notes on Bayesian statistics in Stan, etc (2018-)
  ☆14Updated 4 years ago
• FJRubio67 / ODESurv
  Survival modelling via ODEs
  ☆10Updated 2 months ago
• malcolmbarrett / causalinfer
  An R package for tidyverse-friendly causal inference
  ☆10Updated 5 years ago
• saudiwin / ordbetareg_pack
  Repository for R package ordbetareg, used to fit continuous data with lower and upper bounds.
  ☆21Updated 3 months ago
• r-causal / propensity
  A Toolkit for Calculating and Working with Propensity Scores
  ☆21Updated 3 weeks ago
• Novartis / RBesT
  Tool-set to support Bayesian evidence synthesis in R
  ☆23Updated 2 weeks ago
• venpopov / bmm
  An R package for easy and flexible Bayesian Measurement Modeling
  ☆17Updated last week
• mattelisi / Bayes-multilevel-tutorial
  A tutorial on Bayesian multilevel modeling using R and Stan.
  ☆14Updated 3 years ago
• mikedecr / causal-bayes
  A paper about causal inference with Bayesian modeling
  ☆15Updated 5 years ago
• goldingn / covid19_australia_interventions
  Quantifying the impacts of public health interventions on transmission of COVID-19 in Australia
  ☆13Updated 2 years ago
• stefanocoretta / tidygam
  ☆16Updated 5 months ago
• nfidd / nfidd
  Course on nowcasting and forecasting of infectious disease dynamcis
  ☆16Updated last month
• nt-williams / adjrct
  Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions
  ☆11Updated 3 years ago
• mike-lawrence / aria
  An R package implementing an idiosyncratic Stan workflow
  ☆14Updated 2 years ago
• yjunechoe / jlmerclusterperm
  Fast cluster-based permutation test for densely-sampled, multi-level time series data (ex: eyetracking, EEG)
  ☆12Updated 2 months ago
• vcbradley / ddc-vaccine-US
  Repo for code for "Unrepresentative Surveys Significantly Overestimate Vaccine Uptake in the US"
  ☆14Updated 3 years ago
• andrjohns / StanEstimators
  Estimate Parameters for Arbitrary R Functions using 'Stan'
  ☆26Updated 10 months ago
• debruine / data-sim-workshops
  Data simulation workshop materials and associated R package
  ☆16Updated last year
• akira-endo / Intro-PMCMC
  Endo A. et al., "Introduction to the particle Markov-chain Monte Carlo." Epidemics, 2019.
  ☆12Updated 2 years ago
• cmu-delphi / epipredict
  Tools for building predictive models in epidemiology.
  ☆12Updated 2 weeks ago