Chandler-Bate Sandwich Loglikelihood Adjustment
Python package for conducting power analysis for experiments using regression and/or clustered data.
Loglikelihood Adjustment for Extreme Value Models
A .NET App that scans and clean any metadata of a refurbished or second hand disks that contains metadata, ownership or partitions of another system.
Effective sample size for thresholds under clustering. Verification code and the neff estimator for arXiv:2608.21262 (concept DOI 10.5281/zenodo.21595640). Tag v7-zenodo mirrors the published code archive byte-for-byte.
Overdispersion Models (OM) using Generalized Estimating Equations (GEE)
R package for nonparametric analysis of clustered multistate processes. Provides population-averaged transition probabilities, simultaneous confidence bands, and two-sample tests via cluster bootstrap, with support for recovery models, informative cluster size, and three two-sample designs.
Python library for measuring what a subscription retention experiment was actually worth. Censored lifetime value over an explicit horizon, competing risks, and inference that stays valid when you watch the test.
Additional imputation function for the `R` package `mice`, according to the Heckman model.
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