In psychometrics, and in the closely related fields
of quantititative methods for the
social and educational sciences, R is not yet used
very often. Traditional mainframe packages such
as SAS and SPSS are still dominant at the user-level,
Stata has made inroads at the teaching level,
and Matlab is quite prominent at the research level.

In this paper we define the most visible techniques
in the psychometrics area, we give an overview of
what is available in R, and we discuss what is missing.
We then outline a strategy and a project to fill in
the gaps. The outcome will hopefully be a more
prominent position of R in the social and behavioral
sciences, and as a result less of a gap between these
disciplines and mainstream statistics.