STAR_0.2-2 on CRAN

Hi all,

The new version of STAR (0.2-2) is now available on CRAN.

* An error in function varianceTime has been corrected (thanks to Chong Gu).

* The vignette has been updated.

* A new vignette is available on STAR web sire:
http://sites.google.com/site/spiketrainanalysiswithr/

* The new goodness-of-fit test for spike train models announced in the
previous release in now fully functional thanks to feed-back from Vilmos
Prokaj. The test requires the computation of the parameters of a tight
confidence region within which a standard Wiener process "stays" in, say,
95% of its realizations. The tightest region was shown by Kendall et al
(2007, Statistics and Computing, 17, 1) to have boundaries well approximated
by: a + b*sqrt(t) (where a and b have to be adjusted to get the correct
coverage probability). These 2 parameters are found using the method of
Loader and Deely (J Statist Comput Simulation, 27, 95). The latter method is
also implemented for arbitrary boundaries. The tight case uses C code while
the general case uses pure R code (which is reasonably fast). Error bounds
are also computed.

* Utility functions have been added to estimate the conditional intensity
(CI) of spike trains with smoothing spline (then the hard work is done by
the gss package).

* Detailed demos on how to estimate the CI are now added to the STAR web
site: http://sites.google.com/site/spiketrainanalysiswithr/

A happy new yeaR to all of you,

Christophe