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Diagnostic Analysis Using Forward Search Procedure for Various Models
Diagnostic Analysis Using Forward Search Procedure for Various
Models
Description
Identifies potential data outliers and their impact on estimates and
analyses. Tool for evaluation of study credibility. Uses the forward
search approach of Atkinson and Riani, "Robust Diagnostic Regression
Analysis", 2000,<ISBN: o-387-95017-6> to prepare descriptive statistics
of a dataset that is to be analyzed by functions lm {stats}, glm {stats},
nls {stats}, lme {nlme}, or coxph {survival}, or their equivalent in
another language. Includes graphics functions to display the
descriptive statistics.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
Ensure that data frame has a leading column of observation numbers. Run forsearch_foo to
create a file of diagnostic statistics to be used as input to such
plotting functions as plotdiag.residuals, plotdiag.params.fixed, plotdiag.params.random,
plotdiag.s2, plotdiag,leverage, and plotdiag.Cook. The file of diagnostic statistics can
be voluminous, and the utility function showme displays the output more succinctly.
Plotting of statistics for fixed and for random coefficients is limited by graphical
restraints in some cases. The function identifyCoeffs provides a set of indexing codes
so that plotdiag.params.random can display diagnostics for selected fixed or random model parameters.
The function identifyFixedCoeffs does the same for lm models.
Author(s)
William R. Fairweather, Flower Valley Consulting, Inc., Silver Spring MD USA
William Fairweather [aut, cre]
Maintainer: William Fairweather <wrf343@flowervalleyconsulting.com>
William R. Fairweather <wrf343 AT flowervalleyconsulting DOT com>
References
Atkinson, A and M Riani. Robust Diagnostic Regression Analysis, Springer, New York, 2000.
Pinheiro, JC and DM Bates. Mixed-Effects Models in S and S-Plus, Springer, New York, 2000.
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Diagnostic Analysis Using Forward Search Procedure for Various Models Diagnostic Analysis Using Forward Search Procedure for Various Models
Description
Identifies potential data outliers and their impact on estimates and analyses. Tool for evaluation of study credibility. Uses the forward search approach of Atkinson and Riani, "Robust Diagnostic Regression Analysis", 2000,<ISBN: o-387-95017-6> to prepare descriptive statistics of a dataset that is to be analyzed by functions lm {stats}, glm {stats}, nls {stats}, lme {nlme}, or coxph {survival}, or their equivalent in another language. Includes graphics functions to display the descriptive statistics.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
Ensure that data frame has a leading column of observation numbers. Run forsearch_foo to
create a file of diagnostic statistics to be used as input to such
plotting functions as plotdiag.residuals, plotdiag.params.fixed, plotdiag.params.random,
plotdiag.s2, plotdiag,leverage, and plotdiag.Cook. The file of diagnostic statistics can
be voluminous, and the utility function showme displays the output more succinctly.
Plotting of statistics for fixed and for random coefficients is limited by graphical
restraints in some cases. The function identifyCoeffs provides a set of indexing codes
so that plotdiag.params.random can display diagnostics for selected fixed or random model parameters.
The function identifyFixedCoeffs does the same for lm models.
Author(s)
William R. Fairweather, Flower Valley Consulting, Inc., Silver Spring MD USA William Fairweather [aut, cre]
Maintainer: William Fairweather <wrf343@flowervalleyconsulting.com> William R. Fairweather <wrf343 AT flowervalleyconsulting DOT com>
References
Atkinson, A and M Riani. Robust Diagnostic Regression Analysis, Springer, New York, 2000. Pinheiro, JC and DM Bates. Mixed-Effects Models in S and S-Plus, Springer, New York, 2000.
R Package Documentation
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