quantile-forest
quantile-forest: A Python Package for Quantile Regression Forests - Published in JOSS (2024)
quantregForest
R package - Quantile Regression Forests, a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006).
ExtendedRtIrtModeling
Extended Response Time Item Response Models with Polya-Gamma Sampler and Bayesian Quantile Regression.
sgp
Functions to calculate student growth percentiles and percentile growth projections/trajectories for students using large scale, longitudinal assessment data. Functions use quantile regression to estimate the conditional density associated with each student's achievement history. Percentile growth projections/trajectories are calculated using the coefficient matrices derived from the quantile regression analyses and specify what percentile growth is required for students to reach future achievement targets.