pivotals-package: Functions to support pivotal analysis studies
In pivotals: Functions implementing pivotal Monte Carlo methods
Description
Details
Introduction
Author(s)
References
Description
Pivotal analysis is used to establish goodness of fit by means of Critical Correlation Coeficient (CCC)
and the p-value of r and r^2. This analysis is also used and to establish confidence interval bounds
for a given data set size. Only complete failure data is compliant with the New Weibull Handbook, but
the capability to explore suspended data techniques is provided.
Details
Functions:
CBpiv
mrank
MRRln2pxy
MRRw2pxy
prrVal
prrVec
Introduction
pivotals This package features a multi-purpose pivotal engine written in fast C++ code
based on MRR X on Y fitting of random data for a selected model.
New research is in progress to define a best practice for handling suspension data in the pivotal analysis.
It is an express purpose of this package to facilitate study of this new development.
This package will also be used for the development of tabulated data for the CCC at high resolution
and the development of p-value estimates based on such tabulated data.
Author(s)
Jacob T. Ormerod
Maintainer: David J. Silkworth <davidsilkworth@openreliability.me>
References
Dr. Robert B. Abernethy, (2008) "The New Weibull Handbook, Fifth Edition"
Jerald F. Lawless, (2003) "Statistical Models and Methods for Lifelime Data, Second Edition"
pivotals documentation built on May 2, 2019, 4:51 p.m.
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Description Details Introduction Author(s) References
Description
Pivotal analysis is used to establish goodness of fit by means of Critical Correlation Coeficient (CCC) and the p-value of r and r^2. This analysis is also used and to establish confidence interval bounds for a given data set size. Only complete failure data is compliant with the New Weibull Handbook, but the capability to explore suspended data techniques is provided.
Details
Functions:
CBpiv
mrank
MRRln2pxy
MRRw2pxy
prrVal
prrVec
Introduction
pivotals This package features a multi-purpose pivotal engine written in fast C++ code based on MRR X on Y fitting of random data for a selected model.
New research is in progress to define a best practice for handling suspension data in the pivotal analysis. It is an express purpose of this package to facilitate study of this new development. This package will also be used for the development of tabulated data for the CCC at high resolution and the development of p-value estimates based on such tabulated data.
Author(s)
Jacob T. Ormerod
Maintainer: David J. Silkworth <davidsilkworth@openreliability.me>
References
Dr. Robert B. Abernethy, (2008) "The New Weibull Handbook, Fifth Edition" Jerald F. Lawless, (2003) "Statistical Models and Methods for Lifelime Data, Second Edition"
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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