Software

choicer
choicer provides fast estimation of discrete-choice models for applied economics. Likelihoods, analytical gradients, and Hessians are implemented in C++ with OpenMP parallelism, scaling efficiently to specifications with many alternative-specific constants. Post-estimation routines return predicted shares, own- and cross-price elasticities, diversion ratios, and the BLP contraction. Supports multinomial logit (MNL), mixed logit (MXL), and nested logit (NL); more models will be added.
tidyaudit
Pipeline audit trails and data diagnostics for the tidyverse. tidyaudit captures metadata-only snapshots at each step of a dplyr pipeline, building a structured audit report without storing the data itself. Operation-aware taps enrich snapshots with join match rates, filter drop statistics, and more. The package combines diagnostic tools for interactive development and production-oriented tools.
dtaudit
Diagnostic tools for auditing data analysis workflows built on ‘data.table’. Provides functions to validate join operations, compare data.tables, filter with diagnostic output, summarize data quality, check primary keys and variable relationships, and diagnose string columns. Designed to help analysts understand and document data transformations.