prrVal: P-value determination by pivotal MC with CCC^2 report
In pivotals: Functions implementing pivotal Monte Carlo methods

Description Usage Arguments Value References Examples

This is a wrapper function calling C++ code that executes a pivotal analysis. The P-Value (prr) is the percentile at which the provided Explained Variation (Rsqr) exists in a large random sampling of the model distribution based on pivotal parameters. The 90

1	prrVal(x, Rsqr, S = 10^4, model = "w2", seed=1234, options=NULL, ProgRpt = FALSE)

`x`	The quantity of complete failures for evaluation, or an event vector
`Rsqr`	The variance (R squared) from a linear regression of a data sample of interest having size=x or event vector represented by x.
`S`	The number of random samples to be drawn for Monte Carlo simulation. S must be a multiple of 10, not less than 1,000. The default of 10^4 is adequate for most instances. S is implemented as an unsigned int in C++ code. The maximum limit is 4x10^9 if system memory permits.
`model`	A character string representing the model of interest. The default value of "w2" is for the 2-parameter Weibull. "ln2" or "n" for 2-parameter lognormal or normal, executed by the same code.
`seed`	an integer used to set the RNG seed. Default = 1234
`options`	An optional list such as constructed by wiebulltoolkit::wb.options including the named item methods.rank for which only a value of "qbeta" has been implemented to alter the otherwise default Benard's approximation for determing point estimates for plotting positions.
`ProgRpt`	A boolean value to control the generation of percent completion feedback in the R terminal.