Package: gpcihybridIIEM 0.1.0

gpcihybridIIEM: Generalized Process Capability Indices via EM for Hybrid Type-II Data

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.

Authors:Shikhar Tyagi [aut, cre]

gpcihybridIIEM_0.1.0.tar.gz
gpcihybridIIEM_0.1.0.zip(r-4.7-any)gpcihybridIIEM_0.1.0.zip(r-4.6-any)gpcihybridIIEM_0.1.0.zip(r-4.5-any)
gpcihybridIIEM_0.1.0.tgz(r-4.6-any)gpcihybridIIEM_0.1.0.tgz(r-4.5-any)
gpcihybridIIEM_0.1.0.tar.gz(r-4.7-any)gpcihybridIIEM_0.1.0.tar.gz(r-4.6-any)
gpcihybridIIEM_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
gpcihybridIIEM/json (API)

# Install 'gpcihybridIIEM' in R:
install.packages('gpcihybridIIEM', repos = c('https://shikhartyagi.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 280 downloads 29 exports 4 dependencies

Last updated from:3d56530366. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK122
source / vignettesOK227
linux-releaseOK147
macos-releaseOK80
macos-oldrelOK85
windows-develOK65
windows-releaseOK63
windows-oldrelOK75
wasm-releaseOK93

Exports:boot_ci_hybrid_ty2_emboot_ci_hybrid2_emcapability_hybrid_ty2_emcapability_hybrid2_emdist_exp_expdist_exponentialdist_gammadist_logistic_expdist_lognormaldist_normaldist_rayleighdist_weibulleval_performance_emeval_performance_hybrid2_emfit_hybrid_ty2_emfit_hybrid2_emgof_testgof_test_hybrid2gpc_boot_hybrid2_emgpc_hybrid2_emgpc_hybrid2_em_fitgpc_index_hybrid2_emgpc_sim_hybrid2_emgpci_fit_hybrid2_emgpci_mcmc_hybrid2make_gpc_distmcmc_hybrid_ty2_chainmcmc_hybrid2_chainsimulate_hybrid2_data

Dependencies:gofPHCSnumDerivUniCensorEMwithr

Readme and manuals

Help Manual

Help pageTopics
Bootstrap Confidence Intervals for Hybrid Type-II GPCI (EM)boot_ci_hybrid2_em boot_ci_hybrid_ty2_em gpc_boot_hybrid2_em
Compute Generalized Process Capability Indices via EM Algorithm for Hybrid Type-II Datacapability_hybrid2_em capability_hybrid_ty2_em gpc_hybrid2_em gpc_hybrid2_em_fit
Coef Method for Hybrid Type-II GPCI EM Fitcoef.gpc_hybrid2_em_fit
Monte Carlo Simulation Framework for Hybrid Type-II Censoring (EM)eval_performance_em eval_performance_hybrid2_em gpc_sim_hybrid2_em
Parameter Estimation via EM Algorithm for Hybrid Type-II Censored Datafit_hybrid2_em fit_hybrid_ty2_em gpci_fit_hybrid2_em
Goodness-of-Fit Testing for Hybrid Type-II Censored Data using gofPHCSgof_test gof_test_hybrid2
Retrieve a Single GPCI Valuegpc_index_hybrid2_em
Custom and Predefined Distribution Constructionmake_gpc_dist
MCMC Parameter and GPCI Chain Generator for Hybrid Type-II Censored Datagpci_mcmc_hybrid2 mcmc_hybrid2_chain mcmc_hybrid_ty2_chain
Plot Method for Hybrid Type-II Bootstrap CIsplot.gpc_hybrid2_em_ci
Plot Method for Hybrid Type-II GPCI EM Fitplot.gpc_hybrid2_em_fit
Plot Method for Hybrid Type-II MCMC Chainsplot.gpc_hybrid2_em_mcmc
Predefined Distribution Specificationsdist_exponential dist_exp_exp dist_gamma dist_logistic_exp dist_lognormal dist_normal dist_rayleigh dist_weibull predefined_distributions
Print Method for Distribution Objectsprint.gpc_dist
Print Method for Hybrid Type-II Bootstrap CIsprint.gpc_hybrid2_em_ci
Print Method for Hybrid Type-II GPCI EM Fitprint.gpc_hybrid2_em_fit
Print Method for Hybrid Type-II Goodness-of-Fitprint.gpc_hybrid2_em_gof
Print Method for MCMC Chain Generator Resultprint.gpc_hybrid2_em_mcmc
Print Method for Hybrid Type-II Simulationprint.gpc_sim_hybrid2_em
Simulate Hybrid Type-II Censored Lifetime Datasimulate_hybrid2_data
Summary Method for Hybrid Type-II Bootstrap CIssummary.gpc_hybrid2_em_ci
Summary Method for Hybrid Type-II GPCI EM Fitsummary.gpc_hybrid2_em_fit
Summary Method for Hybrid Type-II Goodness-of-Fitsummary.gpc_hybrid2_em_gof
Summary Method for MCMC Chain Generator Resultsummary.gpc_hybrid2_em_mcmc
Summary Method for Hybrid Type-II Simulationsummary.gpc_sim_hybrid2_em