Alternatives and similar repositories for forestry

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

• mattblackwell / causalsens
  A sensitivity analysis package for causal effects
  ☆12Updated last year
• joonho112 / Bayesian-causal-inference
  Tutorials on Stan for Bayesian causal inference
  ☆19Updated 6 months ago
• kolesarm / Robust-Small-Sample-Standard-Errors
  Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)
  ☆31Updated last year
• lihualei71 / cfcausal
  R package cfcausal
  ☆33Updated 3 years ago
• IyarLin / simMixedDAG
  The simMixedDAG package enables simulation of "real life" datasets from DAGs
  ☆13Updated 6 years ago
• khakieconomics / StanEcon
  Discussion for Stan for economists
  ☆10Updated 9 years ago
• jkarreth / Bayes
  Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.
  ☆44Updated 8 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆27Updated last year
• joshuaschwab / ltmle
  Longitudinal Targeted Maximum Likelihood Estimation package
  ☆27Updated 2 years ago
• soerenkuenzel / hte
  ☆34Updated 3 years ago
• justingrimmer / CausalInf
  This the repository for the Spring Causal Inference Course
  ☆45Updated 6 years ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated 3 months ago
• sejdemyr / ecls
  Processing data from the Early Childhood Longitudinal Study (ECLS)
  ☆32Updated last year
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆70Updated last year
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆35Updated 4 years ago
• FMenchetti / CausalMBSTS
  ☆16Updated 4 years ago
• soerenkuenzel / causalToolbox
  ☆44Updated 4 years ago
• mattblackwell / DirectEffects
  An R package for estimating controlled direct effects.
  ☆18Updated 10 months ago
• swager / optrdd
  Optimized regression discontinuity designs
  ☆30Updated 3 years ago
• benkeser / drtmle
  Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
  ☆20Updated 2 years ago
• benkeser / survtmle
  Targeted Learning for Survival Analysis
  ☆23Updated 2 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆84Updated 5 months ago
• kosukeimai / CBPS
  R package: CBPS
  ☆28Updated last month
• cgonza12 / bmem
  convenience and plotting function working with rstan mixed effects objects
  ☆17Updated 10 years ago
• vdorie / treatSens
  ☆16Updated last year
• CenterForPeaceAndSecurityStudies / IntroductiontoMachineLearning
  Course Materials for Introduction to Machine Learning, Rex W. Douglass 2018
  ☆19Updated 7 years ago
• ksvanhorn / ART-Forum-2017-Stan-Tutorial
  Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
  ☆56Updated 6 years ago
• kosukeimai / experiment
  R package experiment
  ☆14Updated 3 years ago
• johnson-shuffle / mixtape-code
  Code for Causal Inference: The Mixtape by Scott Cunningham
  ☆27Updated 7 years ago
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆22Updated 10 months ago