NEWS

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PTT 1.0

PTT 1.0 is the first official release of the package.

Models

• Provides adaptive Pólya tree (APT), Markov APT, and optional Pólya tree (OPT) models for Bayesian nonparametric density estimation.
• Provides conditional APT and conditional OPT models for conditional-density estimation through recursive partitioning of the predictor space.
• Supports univariate and multivariate observations on the unit hypercube or a data-adaptive standardized hyperrectangle.

Inference and results

• Uses exact forward-backward inference on finite recursive partition trees.
• Computes log marginal likelihoods, posterior root shrinkage probabilities, posterior predictive densities, and hierarchical MAP partitions.
• Generates posterior partition samples using R's random-number generator for reproducible simulation.
• Reports predictive densities in the physical coordinates of the selected sample space.

Package interface

• Supplies documented R interfaces backed by registered C++ routines using Rcpp and RcppArmadillo.
• Validates observations, prediction matrices, sample spaces, and model parameters before native computation.
• Includes plotting utilities for two-dimensional partitions and ROC curves.
• Includes package-level documentation, method references, citation metadata, API and numerical regression tests, and seven reproducible visual demos for marginal and conditional models in one and two dimensions.