two new packages

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

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

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