Update to 2.0.18

Upstream changes:
Changes to Version 2.0-18

    o Bug fix to boot with type="residual"

    o Added densityPlot() function.

Changes to Version 2.0-17

    o Add a variable to AMSsurvey.

    o Fix to residualPlots to compute lack of fit tests with missing values and glms.

    o Fix to residualPlots with a 0/1 variable not declared a factor.

    o Boxplot() now works properly with at argument passed to boxplot() via ... (contribution of Steve Ellison).

    o qqPlot.lm() now works with "aov" objects (fixing problem reported by Thomas Burk).

    o Small fixes to code and docs.

Changes to Version 2.0-16

    o Fixed bug in printing of hypotheses by linearHypothesis(), where numeric
constants of the form 1.* or -1.* were printed incorrectly (reported by Johannes Kutsam).

    o Fixed a bug in showLabels() with multiple groups in the scatterplot() and scatterplotMatrix() function.

    o linearHypothesisTest() now tolerates newlines and tabs in hypotheses (suggestion of David Hugh-Jones).

    o two bugs fixed in Boot() (found by David Pain) changed argument f to f. in bootCase().

    o summary.Boot(), confint.Boot() and hist.Boot() handle aliases correctly.

    o Boxplot.formula() now accepts more than one conditioning variable (suggestion of Christina Yassouridis).

    O Boxplot() now properly handles at argument passed through via ... to boxplot() (contribution of Steve Ellison).

    o Small fixes.

Changes to Version 2.0-15

    o Added an argument coef. to linearHypothesis so tests of the linear hypohtesis form can be computed without reference to a fitted model

    o Added a linearHypothesis.nlsList method

    o Added an nls method for Boot

    o Recode() introduced as alias for recode() to avoid name clash with Hmisc.

    o residualPlots for glms now ignore starting values for the computing algorithm when computing lack of fit tests; starting values previously caused an error.

    o Marginal Model Plots now allow conditioning on a categorical variable.

Changes to Version 2.0-14

    o Smoothers now given as arguments to scatterplot(), scatterplotMatrix(), residualPlots() and other functions; gamLine(), loessLine() (default), and quantregLine() smoothers provided.

    o linearHypothesis.mer() and Anova.mer() now consistent with pbkrtest version 0.3-2.

    o Small changes and fixes.

Changes to Version 2.0-13

    o Added point marking (id.n, etc.) to dataEllipse

    o Changed the default for id.method with the invTranPlot to "x".

    o The ncvTest has been rewritten for stability, and unneeded 'data', 'subset' and 'na.action' argument have been removed

    o Added new function 'Boot' that is a simple front-end to boot::boot that will be useful when bootstrapping regression models.  Implemented for lm and glm, but this is likely to work for many other S3 regression models with and 'update' method, 'subset' argument.

    o Fixed bug in 'compareCoefs' with non-full rank models

    o Modified 'bootCase' to return a matrix of class c("bootCase", "matrix") so generic functions can be written to summarize these objects.

    o Minor changes to the returned value of showLabels to give both the label and the corresponding row number.  showLabels documentation tweaked.

    o Improved handling of center.pch argument to ellipse() (suggestion of Rob Kushler).

    o New test argument for linearHypothesis.mer()  and test.statistic argument for Anova.mer() for F-tests with Kenward/Roger df, provided by pbkrtest package.

    o Anova.mlm() now will do univariate repeated-measures ANOVA even if the error SSP matrix is singular.

    o hccm() will now accept a weighted linear models (suggestion of Stefan Holst Bache).

    o deltaMethod.default() now applies coef() and vcov() to a model for which these are supported (generalizing a suggestion by Scott Kostyshak).

    o Fixed handling of labels argument in scatterplot.formula() and scatterplotMatrix.formula().

    o Fixed qqPlot.default() so that it honors line="none" (bug reported by Rob Kushler).

    o Added new default method for confidenceEllipse(), which now can construct confidence ellipses for linear functions of coefficients.

    o globalVariables() called for R 2.15.1 or later.

    o Fixed bug in logit() when percents=TRUE and largest percent is 1 (reported by Eric Goodwin).

    o Added radius argument to scatter3d() (suggestion of Antonino Messina).

    o Fixed spurious errors message in scatter3d() when groups present but surface=FALSE (reported by David L. Carlson).


(wen)