Display and analyze ROC curves in R and S+

Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification

Resampling Tools for Time Series Forecasting with Modeltime

Semiparametric and parametric estimation and bootstrapping of integer-valued autoregressive (INAR) models.

Density-based clustering unsupervised ensemble learning methods for forecasting double seasonal time series

Moderation, mediation, and moderated mediation in structural equation modeling and multiple regression

Data Analytics and Machine Learning in R. Linear-regression, Logistic-regression, Hierarchical-clustering, Boosting, Bagging, Random-forests, K-means-clustering, K-nearest-neighbors (K-N-N), Tree-pruning, Subset-selection, LDA, QDA, Support Vector Machines (SVM)

I collected dataset related to COVID-19 disease in various dimensions and presented here. You can read its details in "Adaptive Elastic-net Sliced Inverse Regression to Identify Risk Factors Affecting COVID-19" article. Also, here are the codes for the proposed method.

Re-sampled dimensional reduction (RSDR)

Functions related to standardized moderation effect

Very basic offline change point detection based on bootstrapping

An R package to store any handy SEM-related functions that I use