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1.6
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@R-car: update to version 3.0.3.
Update to the canonical form of an R package and fix the LICENSE
field.
@
text
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Size (R/car_3.0-3.tar.gz) = 539020 bytes
@
1.5
log
@Update to 2.1.6
Add missing DEPENDS
Upstream changes:
Changes to Version 2.1-6
o Made several functions compatible with vcov() in R-devel (3.5.0).
Changes to Version 2.1-5
o Fixed bug in boot.hist, and made Boot.default more general. Added a vcov method for boot objects
o Fixed bug in gamLine with non-dentity links.
o Removed the skewPower transformation functions, and added bcnPower transformation family. Same transformation, new name, new computational algorithms, improved documentation.
o Fixed bug (reported by Bruno Hebling Vieira) in print.summary.Anova.mlm() that could cause adjusted p-values to be incorrectly ordered.
Changes to Version 2.1-4
o The smoother functions loessLine, gamLine and quantregLine used in many car functions now evaluate the smoother at an equally spaced grid of points rather than at the observed values on the horizontal axis of a plot.
o spreadLevelPlot.lm now accepts point marking as in most other graphical functions in car.
o Bug fixed in one of the skewPower support functions; thans to Balazs Banfai
o Added support for lmer objects in power transformations
o Added support for skewPower family power transformations for lm and lmer objects
o Added list, data.frame, and matrix methods for Boxplot(), suggestion of Michael Friendly
o Added adaptiveKernel() density estimator, with option to use it in densityPlot().
Changes to Version 2.1-3
o Corrected documentation for mcPlots
o added id.location argument to showLabels to vary location of labels
o added fix for compatiblity with Rcmdr with missing data in several plotting functions.
o deltaMethod() now reports confidence intervals.
o print.summary.Anova.mlm() has new SSP and SSPE arguments to determine whether the corresponding matrices are printed (suggestion of Michael Friendly).
o summary() and print() methods for Anova.mlm() can now report univariate ANOVAs (suggestion and some code by Michael Friendly).
o added "value" and "vcov" attributes to objects returned by linearHypothesis() (after suggestions by Liviu Andronic and Steven Yen).
o compareCoefs() now checks classes of models.
o small fixes/changes.
Changes to Version 2.1-2
o Modified scatter3d() so that plots can be embedded in HTML.
Changes to Version 2.1-1
o influencePlot now returns Cook's distance, not its square root.
o Anova() now supports "coxme" objects (produced by coxme() in coxme package) (request of Philipp Sprenger).
o Anova() now works via its default method with "vglm" objects produced by functions in the VGAM package; and the default method of linearHypothesis() again works with these objects (problem reported by Michael Friendly).
o Fixed Anova.coxph() so that it takes account of method (ties) argument (bug reported by Karl Ove Hufthammer).
o Improvements to Anova.default() so that a wider variety of model classes are accommodated (following request of Liviu Andronic.)
o dataEllipse() now throws an error if there are too few colors for the number of groups (fixing bug reported by Ottorino Pantani).
o spreadLevelPlot.lm() now includes an optional smoother in addition to the fitted straight line (suggestion of Michael Friendly).
o No longer import methods (as opposed to generics) directly from pbkrtest.
o Added axis.ticks argument to scatter3d() (code contributed by David Winsemius).
Changes to Version 2.1-0
o New power family called skewPower has been added that can be used with the Box Cox method with a few negative responses (joint work with Doug Hawkins). Several functions modified to accomodate two-parameter power families.
o Fixed bug in Anova() for coxph models with clusters (reported by Jesus Humberto Gomez ), due apparently to a change in coxph().
Changes to Version 2.0-26
o Anova() F-tests for binomial and Poisson GLMs now changes error.estimate="dispersion" to "pearson" as advertized (bug reported by Will Petry).
o Improved behavior of above-plot legends in scatterplot().
o Fixed sp() (bug reported by Cesar Rabak).
o Conforms to new CRAN requirements for package imports.
Changes to Version 2.0-25
o Fixed df check in linearHypothesis.default() (bug report by Pierre Chausse).
o Fixed bug when vcov. argument to Anova() is a function (reported by Liviu Andronic).
o Now export .carEnv to avoid problem with update() in Boot() (reported by Alan T. Arnholt).
Changes to Version 2.0-24
o Fixed broken URLs.
o Changed handling of .carEnv environment.
o Moved pbkrtest, quantreg, and mgcv from Suggests: to Imports:.
Changes to Version 2.0-23
o Modified ScatterplotSmoothers to add an 'offset' to the vertical axis of spread smooths. This is required in the marginal model plot functions.
o Fixed labels on mcPlot with overlay=FALSE
o Check for 0 residual df and 0 residual deviance (within rounding) in Anova() and linearHypothesis() (problem reported by Jonathan Love).
o Fixed model.matrix.lme and model.matrix.gls utility functions, and hence Anova and vif, respectively, to work with models specified with formulas supplied as objects (after problem noted by Gang Chen).
o Added Wong data set, used in mixed-models appendix.
Changes to Version 2.0-22
o corrected bug in 'terms' argument in residualPlots, and other graphic functions with a 'terms' argument
o added residual curvature tests for glm.nb
o mcPlot and mcPlots draw 'marginal/conditional' plots for lm objects. The marginal plot is of the centered response versus a centered regressor; the conditional plot is the corresponding added-variable plot. The plots can be overlaid or viewed side-by-side.
o added argument marginal.scale to avPlots to scale the added-variable plot for Y on X|Z using the scale from the marginal plot of Y vs X ignoring X. The default is FALSE, corresponding to using scaling to maximize resolution or use xlim and ylim to set user scaling.
o Fixed bugs in Anova.survreg() that could affect types II, II tests, both Wald and LR, and one similar bug in linearHypothesis.survreg().
o Replaced calls to require() with requireNamespace() where possible (suggestion of Brian Ripley).
o The following functions now produce warnings rather than errors when there are empty groups: scatterplot(), scatterplotMatrix(), scatter3d(), densityPlot().
o Corrected name of "Blackmoor" dataset to "Blackmore".
o Added KosteckiDillon migraines dataset (contributed by Georges Monette).
o introduced linearHypothesis.rlm() for rlm models (suggestion of Matthieu Stigler).
o Small bug fixes/improvements.
Changes to Version 2.0-21
o residualPlot error when using 'type="rstudent" has been fixed.
o Minor change to "recode" documentation; improved error checking in recode().
o Fixed a bug in gamLine with non-canonical links. (Thanks to Hani Christoph)
o Added has.intercept.multinom() to make Anova() work with multinom objects fit to a dichotomous response (after bug report by Kristian Hovde Liland).
o Replaced vif.lm() with vif.default() to cover wider variety of models (after question by Laura Rigg about gls models).
o Diagonal panels in scatterplotMatrix() (except for histograms) show groups separately when plotted by groups (suggestion by Erich Neuwirth).
o Added vcov. argument to Anova.lm().
Changes to Version 2.0-20
o Added new id.method="r" to showLabels for labeling plots of residuals; default id.method changed in residualPlots.
o Fixed handling of labels argument to outlierTest() (bug report by Stephane Laurent).
o Accommodate numeric variables consisting entirely of NAs in recode() (suggestion of Karl Ove Hufthammer).
o Prevent dataEllipse() from opening a graphics device when draw=FALSE (fixing bug reported by Rafael Laboissiere).
o The functions makeHypothesis() and printHypothesis(), intended for internal use, are exported so that they can be used in other packages (request of Arne Henningsen).
o Small fixes.
Changes to Version 2.0-19
o allow a grouping variable for color, symbol and fits in residualPlots
o fixed axis labelling probelm in influenceIndexPlot
o fixed scoping problems in Boot, bootCase, and ncvTest
o added an argument to deltaMethod for passing arguments to get scoping right when calling linearHypothesis in another function; other deltaMethod bugs fixed
o slight modification to documentation of Boot
o summary() method for "Anova.mlm" objects now returns an object, printed by a corresponding print() method (adapting code contributed by Gabriel Baud-Bovy).
o added .merMod methods to Anova(), deltaMethod(), linearHypothesis(), matchCoefs(), and unexported utilities df.residual() and has.intercept(); insured compatibility with nlme and CRAN and developments versions of lme4.
o added use argument to scatterplotMatrix() (suggestion of Antoine Lizee).
o export linearHypothesis.default() for use in other packages (suggestion of Achim Zeileis).
o small changes and fixes.
@
text
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RMD160 (R/car_2.1-6.tar.gz) = 817d08becd22cc674def8336d0769ec411527316
SHA512 (R/car_2.1-6.tar.gz) = dac8063e76293accab6daf1db7e9e71bcc0df30a7148828744e46f3164d52ee218eba9bdd8af1037af929832fa283cd12f12b92c3ede79a7356d8298d84c7668
Size (R/car_2.1-6.tar.gz) = 627349 bytes
@
1.4
log
@Add SHA512 digests for distfiles for math category
Problems found locating distfiles:
Package dfftpack: missing distfile dfftpack-20001209.tar.gz
Package eispack: missing distfile eispack-20001130.tar.gz
Package fftpack: missing distfile fftpack-20001130.tar.gz
Package linpack: missing distfile linpack-20010510.tar.gz
Package minpack: missing distfile minpack-20001130.tar.gz
Package odepack: missing distfile odepack-20001130.tar.gz
Package py-networkx: missing distfile networkx-1.10.tar.gz
Package py-sympy: missing distfile sympy-0.7.6.1.tar.gz
Package quadpack: missing distfile quadpack-20001130.tar.gz
Otherwise, existing SHA1 digests verified and found to be the same on
the machine holding the existing distfiles (morden). All existing
SHA1 digests retained for now as an audit trail.
@
text
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RMD160 (R/car_2.0-18.tar.gz) = c2342b641dc8f5d1f4ce54c8577f8f8fe937d775
SHA512 (R/car_2.0-18.tar.gz) = 36802e5fa300c178050c6c210d9c7d380a58c7561c0fee676f47f231685e569bf1463681cb8b611167d59789c9f2a74c6623b8161d4ef79a4872a5cca9d919f9
Size (R/car_2.0-18.tar.gz) = 334622 bytes
@
1.3
log
@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).
@
text
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d5 1
@
1.2
log
@Update to car v2.0-12 and add LICENSE.
@
text
@d1 1
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$NetBSD: distinfo,v 1.1.1.1 2011/09/26 19:33:02 ryoon Exp $
d3 3
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RMD160 (R/car_2.0-12.tar.gz) = 8db66c65215c2022379716cc37a6b540f2011d33
Size (R/car_2.0-12.tar.gz) = 319291 bytes
@
1.1
log
@Initial revision
@
text
@d1 1
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$NetBSD$
d3 3
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SHA1 (R/car_2.0-11.tar.gz) = bb016ef131b51a7f3bc6be71901f38d1f284dd23
RMD160 (R/car_2.0-11.tar.gz) = 678bd31e82f3b93718442a8c8326ef7505f8c591
Size (R/car_2.0-11.tar.gz) = 318150 bytes
@
1.1.1.1
log
@Import R-car-2.0.11 as math/R-car
This package accompanies J. Fox and S. Weisberg, An R Companion to
Applied Regression, Second Edition, Sage, 2011.
Used by math/R-Rcmdr.
OKed by wiz@@.
@
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@@