gpciIntCensor
0.1.0Generalized Process Capability Indices for Interval-Censored Data
Overview
A comprehensive framework for computing, estimating, and validating Generalized Process Capability Indices (GPCIs) under interval-censored data. Supports user-supplied probability density functions (PDF/PMF), cumulative distribution functions (CDF), and survival functions (SF). Parameter estimation is performed using Maximum Likelihood Estimation for interval-censored data via the MleCensoR package. Computes classical and generalized capability indices including Cpy (Maiti et al., 2010), Spmk (Dey & Saha, 2019), CpTk (Saha et al., 2019), Cpc (Saha et al., 2022), CNpmc (Alotaibi et al., 2022), CNpmkc (Saha et al., 2024), CNpk (Saha et al., 2018), and Vannman's Cp(u,v) family. Provides parametric and non-parametric bootstrap confidence intervals at 90%, 95%, and 99% confidence levels using percentile, normal, basic, BCa, BCp, and studentized bootstrap methods. Computes standard errors, mean squared errors, and coverage probabilities for both distribution parameters and capability indices. References: 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) doi:10.1007/s13198-019-00789-7, 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.
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- OK2026-08-096 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
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- Documented parameters
- 83%
- Return-value docs
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People & History
1 release. R releases are shown for context.
- 0.1.0Latest2026-08-08 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-08-08
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.0.0
- Download size
- not tracked yet
- Installed size
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- With dependencies
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