Brief
bio.
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Supplementary materials for
some of my books:
John Fox, A Mathematical Primer
for Social Statistics, Second Edition
(Sage, 2021).
John Fox, Regression Diagnostics:
An Introduction, Second Edition (Sage,
2020).
John Fox and Sanford Weisberg,
An R Companion to Applied
Regression, Third Edition (Sage, 2019):
on-line appendices, data files, R scripts, errata,
updates, and more.
John Fox, Using the R Commander: A
Point-and-Click Interface for R (Chapman
and Hall/CRC, 2017): data files, errata and updates,
John Fox, Applied Regression
Analysis and Generalized Linear Models, Third
Edition (Sage, 2016): appendices;
datasets; data-analysis exercises; errata;  answers to odd-numbered
exercises in the text; and bonus Chapters
25 on Bayesian
estimation of regression models, and 26 on causal analysis of
observational data (including directed acyclic
causal graphs, "DAGs").
Selected R packages:
The car
("companion to applied regression") and effects
packages are associated with Fox and Weisberg, An R Companion to Applied
Regression, Third Edition (see in books above).
The cv
package (written with Georges Monette) for
cross-validation of regression models.
The ivreg
package (written with Achim Zeileis and
Christian Kleiber) for instrumental-variables
(including two-stage least-squares) regression.
The matlib
package (written with Michael Friendly and Phil
Chalmers) for understanding matrices, linear algebra,
and related topics.
The polycor
package for computing polychoric and polyserial
correlations.
The Rcmdr
package (written with Manuel Munoz Marquez and
Milan Bouchet-Valat), which provides a graphical user
interface (GUI) for R.
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