Generalized Process Capability Indices via EM for Hybrid Type-II Data R package gpcihybridIIEM version 0.1.0 Implements the Expectation-Maximization (EM) algorithm of Dempster, Laird, and Rubin (1977) <doi:10.1111/j.2517-6161.1977.tb01600.x> for parameter estimation under Hybrid Type-II censored data (Childs et al. (2003) <doi:10.1007/BF02517803>; Balakrishnan and Kundu (2013) <doi:10.1002/nav.21545>) using the 'UniCensorEM' package and computes Generalized Process Capability Indices (GPCIs). Supports classical and generalized capability indices including Cpy (Maiti et al. (2010) <doi:10.1080/16843703.2010.11673233>), Cp, Cpk, Cpu, Cpl, Cpm, Cpmk, Spmk (Dey and Saha (2019) <doi:10.1007/s41872-019-00081-4>), CpTk (Saha et al. (2018) <doi:10.1080/21681015.2018.1437793>), Cpc, CNpmc (Alotaibi et al. (2022) <doi:10.1155/2022/3135264>), CNpmkc (Saha et al. (2024) <doi:10.1142/S021853932450013X>), and CNpk (Saha et al. (2022) <doi:10.1080/02664763.2021.1971632>). Computes point estimates, bias, mean squared error, risk, Heidelberger and Welch convergence diagnostics, convergence probability, Bayesian MCMC sampling chains, goodness-of-fit testing via 'gofPHCS', and bootstrap confidence intervals at 90 percent, 95 percent, and 99 percent levels. Accommodates user-defined probability density or mass functions, cumulative distribution functions, and survival functions. Software Depends: R (>= 4.0.0) Imports: stats, graphics, UniCensorEM, gofPHCS Suggests: testthat (>= 3.0.0) Shikhar Tyagi <shikhar1093tyagi@gmail.com> Comprehensive R Archive Network (CRAN) Shikhar Tyagi [aut, cre] (ORCID: <https://orcid.org/0000-0003-1606-0844>) MIT + file LICENSE (https://CRAN.R-project.org/package=gpcihybridIIEM/LICENSE) 2026-08-21 application/tgz https://CRAN.R-project.org/package=gpcihybridIIEM doi:10.32614/CRAN.package.gpcihybridIIEM