Heteroskedasticity-Consistent Inference for Linear Models R package hcinfer version 0.3.0 Performs heteroskedasticity-consistent inferences in linear regressions under heteroskedasticity. The published HC0 through HC5m estimators implemented in the package follow White (1980) <doi:10.2307/1912934>, Hinkley (1977) <doi:10.1080/00401706.1977.10489550>, MacKinnon and White (1985) <doi:10.1016/0304-4076(85)90158-7>, Cribari-Neto (2004) <doi:10.1016/S0167-9473(02)00366-3>, Cribari-Neto and da Silva (2011) <doi:10.1007/s10182-010-0141-2>, Cribari-Neto et al. (2007) <doi:10.1080/03610920601126589> with its erratum <doi:10.1080/03610920802109210>, and Li et al. (2016) <doi:10.1080/00949655.2016.1198906>. The package also includes HCbeta, a new estimator proposed by the package authors. It additionally provides feasible generalized least squares estimation under multiplicative heteroskedasticity following Harvey (1976) <doi:10.2307/1913974> and Cribari-Neto and Pereira (2019) <doi:10.1080/00949655.2019.1586902>, with two-step and maximum likelihood fitting and information criteria for the likelihood fit. It provides normal Wald tests, confidence intervals, diagnostics, and S3 output for applied inference. Software Depends: R (>= 4.1.0) Imports: cli, ggplot2, purrr, rlang, tibble Suggests: carrier, dplyr, knitr, mirai, rmarkdown, testthat (>= 3.0.0), withr Pedro Rafael D. Marinho <pedro.rafael.marinho@gmail.com> Comprehensive R Archive Network (CRAN) Pedro Rafael D. Marinho [aut, cre] (ORCID: <https://orcid.org/0000-0003-1591-8300>), Francisco Cribari-Neto [aut] (ORCID: <https://orcid.org/0000-0002-5909-6698>), Marina Oliveira Cunha [aut] (ORCID: <https://orcid.org/0009-0007-4938-3881>) MIT + file LICENSE (https://CRAN.R-project.org/package=hcinfer/LICENSE) 2026-08-25 application/tgz https://CRAN.R-project.org/package=hcinfer doi:10.32614/CRAN.package.hcinfer