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=== R package 'polywog'
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=== Code by Brenton Kenkel and Curtis S. Signorino
=== Maintained by Brenton Kenkel (brenton.kenkel@gmail.com)
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polywog 0.3-0 (2013-01-09)
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* polywog() now has argument 'unpenalized' to exclude some terms from the
adaptive LASSO penalty
* bootPolywog() now has argument 'maxtries' to control failure when a
non-collinear bootstrap model matrix cannot be found
* bootPolywog() now has argument 'min.prop' to ensure a minimum amount of
variation in the bootstrapped response variable in binary models
* The 'fitted.values' element of "polywog" objects is now on the response scale
instead of the link scale (i.e., transformed to probabilities when family =
"binomial")
* Fixed bug where the 'polywog.fit' element of cv.polywog() output would not
contain fitted values
* Fixed bug that sometimes caused predVals() to fail unexpectedly
polywog 0.2-0 (2012-06-26)
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* New function cv.polywog() to select both the polynomial degree and the
penalization parameter by cross-validation
* New method margEff.polywog() to compute observation-wise and average marginal
effects from a fitted model
* varNames element of a "polywog" object is now a character vector rather than a
list (and is generated more safely)
* "polyTerms" attribute of matrix returned by polym2() is now a matrix rather
than a data frame
* predict.polywog() now works correctly when newdata is a model frame
polywog 0.1-0 (2012-05-12)
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* Initial release