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gpciProgTyII
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Install from CRAN:
install.packages("gpciProgTyII")
Install from Github:
library("remotes")
install_github("cran/gpciProgTyII") Install by package version:
library("remotes")
install_version("gpciProgTyII", "0.1.0") Attach the package and use:
library("gpciProgTyII")
Maintained by
Shikhar Tyagi
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[Scholar Profile | Author Map]
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First Published: 2026-08-07
Latest Update: 2026-08-07
Description:
Provides a comprehensive generalized framework for parameter estimation and Generalized Process Capability Indices (GPCIs) under Progressive Type-II censored data using the MleCensoR package. Accepts user-supplied probability density functions (PDF/PMF), cumulative distribution functions (CDF), and survival functions (SF). Computes classical and generalized capability indices including Cpy (Maiti et al., 2010 <doi:10.1080/16843703.2010.11673233>), Spmk (Dey & Saha, 2019 <doi:10.1007/s41872-019-00081-4>), CpTk (Saha et al., 2019), Cpc (Saha et al., 2022 <doi:10.1080/02664763.2021.1971632>), CNpmc (Alotaibi et al., 2022 <doi:10.1155/2022/3135264>), CNpmkc (Saha et al., 2024 <doi:10.1142/S021853932450013X>), CNpk (Saha et al., 2018 <doi:10.1080/21681015.2018.1437793>), and Vannman's Cp(u,v) family. Evaluates parametric and non-parametric bootstrap confidence intervals at 90%, 95%, and 99% levels of significance. Computes Standard Errors, Mean Squared Error (MSE), Bias, and Coverage Probabilities for model parameters and capability indices. References: Balakrishnan & Aggarwala (2000) <doi:10.1007/978-1-4612-1186-0>, Maiti, Saha & Nanda (2010) <doi:10.1080/16843703.2010.11673233>, Saha, Dey & Maiti (2018) <doi:10.1080/21681015.2018.1437793>, Dey & Saha (2019) <doi:10.1007/s41872-019-00081-4>, Saha, Dey & Maiti (2019), Alotaibi, Dey & Saha (2022) <doi:10.1155/2022/3135264>, Saha, Dey & Nadarajah (2022) <doi:10.1080/02664763.2021.1971632>, Saha, Tripathi & Dey (2024) <doi:10.1142/S021853932450013X>.
How to cite:
Shikhar Tyagi (2026). gpciProgTyII: Generalized Process Capability Indices under Progressive Type-II Censoring. R package version 0.1.0, https://cran.r-project.org/web/packages/gpciProgTyII. Accessed 24 Oct. 2026.
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