Importance Sampling Estimation of Generalized Process Capability
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Documentation for package ‘gpciImpSam’ version 0.1.0
Help Pages
| capability | Compute Process Capability Indices (GPCIs) |
| compute_theoretical_moments | Theoretical Moments Computation for Process Distribution |
| define_distribution | Define a Process Distribution |
| dist_exponential | Standard Pre-defined Exponential Distribution |
| dist_gamma | Standard Pre-defined Gamma Distribution |
| dist_logistic_exponential | Pre-defined Logistic-Exponential Distribution |
| dist_normal | Standard Pre-defined Normal Distribution |
| dist_weibull | Standard Pre-defined Weibull Distribution |
| fit_distribution | Uncensored Data Parameter Estimation via Maximum Likelihood |
| gpci_impsam | High-Level User Interface Function for Importance Sampling GPCIs |
| heidelberger_welch | Heidelberger and Welch's MCMC Convergence Diagnostic |
| hpd_interval | Highest Posterior Density (HPD) Interval Calculation |
| impsam_gpci | Importance Sampling MCMC Chain Generator for Process Capability Indices |
| plot.gpciImpSam | Plot Method for gpciImpSam Objects |
| summary.gpciImpSam | Summary and Diagnostics for gpciImpSam Objects |