GPvam is used to fit the value-added model developed by Mariano et al. (2010) via ML estimation using an EM algorithm (Karl et al. 2013). Also provides the ability to fit the variable persistence model (Lockwood et al. 2007).
● Data Source:
CranContrib
● Keywords: regression
● Alias: GPvam
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An internal function
● Data Source:
CranContrib
● Keywords:
● Alias: VP.CP.ZP.un
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An internal function
● Data Source:
CranContrib
● Keywords:
● Alias: rGP.un
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An internal function
● Data Source:
CranContrib
● Keywords:
● Alias: GP.csh
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Prints names of elements in GPvam object.
● Data Source:
CranContrib
● Keywords:
● Alias: print.GPvam, print.summary.GPvam
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Plot teacher effects and residuals. The caterpillar plots use a modified version of the plotCI function from R package gplots. According to that package, "Original version [of plotCI] by Bill Venables wvenable@attunga.stats.adelaide.edu.au posted to r-help on Sep. 20, 1997. Enhanced version posted to r-help by Ben Bolker ben@zoo.ufl.edu on Apr. 16, 2001. This version was modified and extended by Gregory R. Warnes greg@warnes.net. Additional changes suggested by Martin Maechler maechler@stat.math.ethz.ch integrated on July 29, 2004."
● Data Source:
CranContrib
● Keywords: regression
● Alias: plot.GPvam
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8 images
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An internal function
● Data Source:
CranContrib
● Keywords:
● Alias: GP.un
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Prints summary information for object of class GPvam
● Data Source:
CranContrib
● Keywords: regression
● Alias: summary.GPvam
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An EM algorithm (Karl et al. 2013) is used to estimate the generalized, variable, and complete persistence models (Mariano et al. 2010).
● Data Source:
CranContrib
● Keywords:
● Alias: GPvam-package
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providing 
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