covariates

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

Conquering confounds and covariates: methods, library and guidance

NPDR: Nearest-neighbor Projected-Distance Regression with the generalized linear model

Shiny-Tool for investigation of metabolite-covariate relationships

IPW- and CBPS-type propensity score reweighting, with various extensions (Stata package)

Tutorials illustrating the use of baseline information to conduct more efficient randomized trials

Survival analysis of university completion. R(Survival Analysis), Python(EDA)

SAMUEL-ROSA, A. et al. Do more detailed environmental covariates deliver more accurate soil maps? Geoderma, v. 243–244, p. 214–227, maio 2015.

[IJHCS] UTA7: a clinical dataset with medical imaging and patient co-variables.

Project to practice time series forecasting (chiefly from Prof. Hyndman's book "Forecasting: Principles and Practice"). Forecasting hourly electricity consumption from the Duquesne Light Company around the Pittsburgh area.

R implementations of a variational EM approach for Stochastic Block Model with covariates

Forecast de demanda retail (TimesFM 3.0): KPIs, covariantes, dashboards, SQL/R y alertas. Evaluación zero-shot sobre dato público de supermercado.

Simulation code and reproducibility package for "When AI Generates Covariates: Causal Typing and Estimand Drift in Sequential Experiments" (arXiv:2609.17772)

TimesFM 2.5 fork that restores forecast_with_covariates and maps the quantile head to inventory policy.

Covariate Software Failure and Reliability Assessment Tool (C-SFRAT). To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001588

Analyzing the spatial patterns of Canada Lynx locations and building a model to predict their location.