Some of this I've mentioned before but the current and past versions of RMark package binary for Windows can also be obtained at:
https://drive.google.com/folderview?id=0B77g1ScdUwVeVU9rUE5lVS1kZ2M&usp=sharing
The current version of the RMark source code is at:
https://github.com/jlaake/RMark
Also, when you update to the newly released 3.0 version of R, note the following change which is different from previous update releases:
... all users should note that this new release requires that packages will need to be re-installed, which means that after you install the new R, you should run the following command in it:
update.packages(checkBuilt=TRUE)
RMark 2.1.5
NEW FEATURES
* argument mata and associated arguments were added to model.average.list and model.average.marklist to enable calculation of confidence intervals based on Turek, D. and Fletcher, D. (2012). Model-Averaged Wald Confidence Intervals. Computational Statistics and Data Analysis, 56(9), p.2809-2815.
Daniel Turek provided the function mata.wald. In model.average.list the mata.wald function is applied to the estimates without any transformation if mata=TRUE. In model.average.marklist, the confidence intervals are applied to the estimates in the link space and then the end points are transformed to the real space.
CHANGES
* Modified code in extract.mark.output to allow = sign in formula for use of splines which was suggested by Alexey Altukhov and Eli Gurarie. An example is mark(dipper,model.parameters=list(Phi=list(formula=~bs(Time,df=3)))). splines package must be attached.
BUG FIXES
* modified release.gof which was not connecting to rel32.exe unless MarkPath was specified
* modified model.average.list which failed if var-cov matrices were provided for single estimates. Thanks to Alex Zerbini for discovering this problem.
* modified make.design.data so it did not create session.labels except for secondary parameters
* fixed bug in process.data which was always using age.unit=1 if there was not an age group.