There are 0 repository under linear-models topic.
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
A python library to build Model Trees with Linear Models at the leaves.
Linear, IV and GMM Regressions With Any Number of Fixed Effects
🎓 Tidy tools for academics
📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
:bar_chart: Methods of Applied Statistics Course Textbook Repository
Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.
Tools for developing OLS regression models
Lp modeler written in Rust
Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
Learned Sort: a model-enhanced sorting algorithm
Machine Learning C++
Subspace methods for MIMO system identification
This repository contains R code for exercices and plots in the famous book.
Easy grafs, ANOVAs and posthoc comparisons.
Statistical Models with Regularization in Pure Julia
Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
Collection of LTSpice models and simulation circuits collected from various Yahoo groups and all around the internet.
Spells for everyday living. (also a book coming out in 2024)
Calibrate and simulate linear propagator models for the price impact of an extrinsic order flow.
Linear Models With R and Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models - by J Faraway
TSPred Package for R : Framework for Nonstationary Time Series Prediction
LIBLINEAR理论与源码解读(已完结)
A simple framework for ANOVA on various types of Julia statistical models