Alternatives and similar repositories for Replication_DCP:

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

• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆19Updated 9 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• Akai01 / caretForecast
  Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
  ☆25Updated 2 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆33Updated 3 months ago
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆24Updated last year
• Techtonique / ahead_python
  Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
  ☆13Updated 5 months ago
• keyonvafa / career-code
  Code for the paper "CAREER: Transfer Learning for Economic Prediction of Labor Sequence Data"
  ☆37Updated 8 months ago
• wbnicholson / BigVAR
  Dimension Reduction Methods for Multivariate Time Series
  ☆57Updated 4 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆42Updated last year
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆18Updated last week
• rizbicki / predictionBands
  R package to compute distribution-free prediction bands using density estimators
  ☆9Updated 3 years ago
• predict-idlab / cct-cmc
  Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
  ☆15Updated 8 months ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago
• lihualei71 / cfcausalPaper
  Paper Repository
  ☆11Updated 2 years ago
• DarkEyes / VLTimeSeriesCausality
  A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.
  ☆55Updated 8 months ago
• rakshitha123 / WeeklyForecasting
  This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…
  ☆47Updated 3 years ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆17Updated 2 weeks ago
• tlverse / causalglm
  Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…
  ☆24Updated 2 years ago
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆27Updated 3 years ago
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆39Updated last year
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆24Updated 2 years ago
• williazo / mvGPS
  Tools for estimating causal effects for multivariate continuous exposures
  ☆13Updated 3 years ago
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆34Updated 2 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆41Updated 9 months ago
• itamarcaspi / EconML-with-R
  How to use EconML within R
  ☆10Updated 5 years ago
• config-i1 / greybox
  Regression model building and forecasting in R
  ☆31Updated 2 weeks ago
• esmucler / odpc
  This package provides functions for computing One-Sided Dynamic Principal Components, a novel multivariate time series dimension reductio…
  ☆8Updated 10 months ago
• deshen24 / syntheticNN
  ☆22Updated 3 years ago
• FMenchetti / CausalMBSTS
  ☆16Updated 3 years ago