Lindley Approximation Method for Generalized Process Capability
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Documentation for package ‘gpciLindleyApprox’ version 0.1.0
Help Pages
| bootstrap_gpci | Parametric and Non-Parametric Bootstrap Confidence Intervals for GPCIs |
| capability | Compute Generalized Process Capability Indices (GPCIs) |
| define_distribution | Define a Process Probability Distribution Object |
| dist_exponentiated_exponential | Built-in Exponentiated-Exponential Distribution for GPCI |
| dist_gamma | Built-in Gamma Distribution for GPCI |
| dist_logistic_exponential | Built-in Logistic-Exponential Distribution for GPCI |
| dist_normal | Built-in Normal Distribution for GPCI |
| dist_weibull | Built-in Weibull Distribution for GPCI |
| fit_distribution | Fit Probability Distribution to Uncensored Data |
| gpci_lindley | High-Level User Interface Function for Lindley Approximation GPCI Analysis |
| heidelberger_welch | Heidelberger and Welch's MCMC Convergence Diagnostic |
| hpd_interval | Highest Posterior Density (HPD) Interval Calculation |
| lindley_approx | Lindley Approximation Method for Parameter and GPCI Bayesian Point Estimation |
| lindley_gpci | Lindley Approximation MCMC-Style Chain Generator for GPCIs |
| plot.gpciLindleyApprox | Plot Visualizations for gpciLindleyApprox Objects |
| summary.gpciLindleyApprox | Summary and Diagnostics for gpciLindleyApprox Objects |