jhlee-projects.r-universe.dev

[jhlee-projects] synMicrodata 2.1.3

ljh988488@gmail.com (Juhee Lee) — Wed, 26 Nov 2025 07:10:02 GMT

This tool fits a non-parametric Bayesian model called a "hierarchically coupled mixture model with local dependence (HCMM-LD)" to the original microdata in order to generate synthetic microdata for privacy protection. The non-parametric feature of the adopted model is useful for capturing the joint distribution of the original input data in a highly flexible manner, leading to the generation of synthetic data whose distributional features are similar to that of the input data. The package allows the original input data to have missing values and impute them with the posterior predictive distribution, so no missing values exist in the synthetic data output. The method builds on the work of Murray and Reiter (2016) .

[jhlee-projects] KDEmcmc 0.0.2

ljh988488@gmail.com (Juhee Lee) — Tue, 19 Aug 2025 04:50:02 GMT

Provides methods for selecting the optimal bandwidth in kernel density estimation for dependent samples, such as those generated by Markov chain Monte Carlo (MCMC). Implements a modified biased cross-validation (mBCV) approach that accounts for sample dependence, improving the accuracy of estimated density functions.

[jhlee-projects] LARisk 1.0.0

ljh988488@gmail.com (Juhee Lee) — Mon, 07 Feb 2022 00:20:08 GMT

Compute lifetime attributable risk of radiation-induced cancer reveals that it can be helpful with enhancement of the flexibility in research with fast calculation and various options. Important reference papers include Berrington de Gonzalez et al. (2012) , National Research Council (2006, ISBN:978-0-309-09156-5).