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

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.

Shiny-Tool for investigation of metabolite-covariate relationships

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

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

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

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

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

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

Conquering confounds and covariates: methods, library and guidance

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