Fast Inference of Biological Networks from Directed Regulations (Findr) in Julia
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Updated
Apr 27, 2024 - Julia
Fast Inference of Biological Networks from Directed Regulations (Findr) in Julia
Causal Inference using Gaussian Processes with Structured Latent Confounders. Estimate treatment effects with Gaussian processes.
Contains the LLCB method from Weinstock* and Arce* et al., 2023
Base package for DiffinDiffs.jl
Taking causal inference to the extreme!
Synthetic difference in differences - Julia implementation of https://synth-inference.github.io/synthdid/
Source code for the paper "Lifted Causal Inference in Relational Domains" (CLeaR 2024)
A pure Julia implementation of the Targeted Minimum Loss-based Estimation
Regression-based multi-period difference-in-differences with heterogenous treatment effects
A suite of Julia packages for difference-in-differences
Causal Inference with Invariant Prediction
Algorithms for detecting associations, dynamical influences and causal inference from data.
Causal inference, graphical models and structure learning in Julia
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