# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "phoring" in publications use:' type: software license: MIT title: 'phoring: Unified Econometric Estimation, Specification Testing, and Diagnostics' version: 0.1.0 abstract: A unified econometric toolkit providing automated specification testing, robust covariance estimation, and publication-grade academic visualizations. Implements ordinary and weighted least squares with robust, cluster-robust, and heteroskedasticity and autocorrelation consistent (HAC) standard errors; instrumental variables two-stage least squares (2SLS); panel data estimators (within fixed effects, two-way fixed effects, random effects GLS, first differences); binary response models (logit and probit with average marginal effects); tobit censored regression; count models (Poisson and negative binomial); causal inference methods (difference-in-differences, sharp regression discontinuity); quantile regression; dynamic time series models (autoregressive distributed lag, Koyck distributed lag, Prais-Winsten AR(1), error correction models, vector autoregression); and time series unit root batteries (augmented Dickey-Fuller, Phillips-Perron, KPSS, Engle-Granger cointegration, Granger causality, ARCH). Estimation routines integrate comprehensive diagnostic batteries, parameter stability tests, and academic visualizations with zero external package dependencies. authors: - family-names: Emon given-names: Md. Abid Siddique email: contact.abidsiddique@gmail.com orcid: https://orcid.org/0009-0007-6576-027X repository: https://cran.r-universe.dev repository-code: https://github.com/abidsiddique/phoring commit: da28bcb3c845cb6857cf5a000f9a9f62c75a9f1d url: https://github.com/abidsiddique/phoring date-released: '2026-11-07' contact: - family-names: Emon given-names: Md. Abid Siddique email: contact.abidsiddique@gmail.com orcid: https://orcid.org/0009-0007-6576-027X