FixedEffectjlr
Fixed effects model estimator
An R package that provides an interface to estimate large fixed effect models using Julia's FixedEffectModels.jl library.
R interface for Fixed Effect Models
21 stars
3 watching
2 forks
Language: R
last commit: almost 5 years ago clusteringeconometricsjuliaregression
Related projects:
Repository | Description | Stars |
---|---|---|
| An API for fitting and querying statistical mixed-effects models in Julia. | 410 |
| An R package for estimating the effect of an intervention on time series data | 1,720 |
| Provides an efficient and flexible framework for modeling complex relationships between variables using statistical models with random effects | 626 |
| An R implementation of a machine learning approach to estimate the effect of treatment on individuals | 5 |
| A Julia package for building and analyzing regression models using generalized linear models | 599 |
| A package for computing asymmetric Shapley values to assess causality in machine learning models | 72 |
| An R package for explaining the predictions made by machine learning models in data science applications. | 2 |
| This library provides tools and algorithms for estimating the distribution correction in off-policy reinforcement learning problems | 99 |
| A Haskell library for building effectful applications with a focus on type-level effects and composability | 228 |
| Provides methods to interpret and explain the behavior of machine learning models | 494 |
| A Julia interface to Smile's C++ reasoning engine for probabilistic graphical models | 2 |
| A tool to measure how much individual models rely on common variables | 8 |
| A Julia package providing algorithms and solvers for regression analysis | 64 |
| A comprehensive Python package for causal inference and graph structure recovery from observational data | 1,135 |
| Provides functions to handle interest rates and term structure of interest rates in financial markets. | 53 |