[R] RE: two new packages

kjetil halvorsen kjetilh at umsanet.edu.bo
Wed May 2 19:43:04 CEST 2001


Hola!

I have a package i will soon contribute to CRAN, SenSrivastava,
containing the datasets for exampples and exercises in the book:
Sen/Srivastava: "Regression Analysis, Theory, Methods, and
Applications."
(Springer Verlag, 1990)
What I haven´ found in R, needed for teaching from the book, is 
diagnostics for multicollinearity. (VIF´s) Is this somewhere in R I
havent searched, or have anyboduyu coded it up?

Thanks very much, 

Kjetil Halvorsen.

"Bliese, Paul D MAJ WRAIR-Wash DC" wrote:
> 
> John,
> 
> Thanks for making these available!  I'm very interested in your sem package
> in particular.  Do you have versions that run in S-PLUS too?  I'll send
> comments as I work through the materials.
> 
> Paul
> 
> **********************************************************************
> MAJ Paul D. Bliese, Ph.D.
> Chief, Dept. Operational Stress Research
> Walter Reed Army Institute of Research
> Washington, DC 20307
> Voice:  (301) 319-9873
> Fax:     (301) 319-9484
> paul.bliese at na.amedd.army.mil
> 
> -----Original Message-----
> From: John Fox [mailto:jfox at mcmaster.ca]
> Sent: Friday, April 27, 2001 10:52 PM
> To: R-announce at r-project.org
> Subject: two new packages
> 
> I've prepared preliminary versions of two packages that I plan eventually
> to contribute to CRAN:
> 
> car (for "Companion to Applied Regression") is a package that provides a
> variety of functions in support of linear and generalized linear models,
> including regression diagnostics (e.g., studentized residuals, hat-values,
> Cook's distances, dfbeta, dfbetas, added-variable plots, component+residual
> plots, ceres plots, Durbin-Watson statistics); some tools for graphing and
> exploring data (e.g., enhanced quantile-comparison plots -- with simulated
> envelopes for studentized residuals from linear models, scatterplot, and
> scatterplot-matrix functions); some utilities (e.g., for recoding
> variables); some functions for transformations of data (e.g., multivariate
> unconditional Box-Cox transformation); an enhanced Anova function; and many
> datasets. The object is to make tasks that are commonly employed in
> regression modeling more convenient, particularly for students with limited
> programming skills. I've tried largely to avoid duplicating capabilities in
> existing packages.
> 
> sem is a package for fitting "structural-equation models." The package
> supports general structural equation models with latent varibles, fit by
> maximum likelihood assuming multinormality, and single-equation estimation
> for observed-variable models by two-stage least squares.
> 
> For the present, I'm making these packages available on my web site, at
> <http://www.socsci.mcmaster.ca/jfox/Misc/car/> and
> <http://socserv.socsci.mcmaster.ca/jfox/Misc/sem/>.
> 
> I'm particularly interested in suggestions and comments.
> 
> John
> 
> ________________________________
>   John Fox
>   Department of Sociology
>   McMaster University
>   email: jfox at McMaster.ca
>   web: www.socsci.mcmaster.ca/jfox
> ________________________________
> 
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