rakeR v0.2.0 on CRAN

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I am absolutely delighted to announce that the latest version of rakeR, version 0.2.0, is on CRAN. You can install it in R or RStudio with:

install.packages("rakeR")

DOI

rakeR DOI

rakeR now has a DOI. This is probably more useful for me than it is for you but nevertheless, if you use rakeR please be sure to cite it and use the DOI: https://doi.org/10.5281/zenodo.821506

Changes and improvements

Speed improvements in integerise()

The most noticeable change is that the integerise() step, which previously took hours on a reasonable–sized data set, now takes minutes. This means it is now feasible to integerise, make corrections if necessary, and iterate to check additional parameters or model fit. It achieves this by using the wrswoR package for weighted random sampling without replacement, a step in the truncate, replicate, sample phase of the simulation. So far I’ve only tested and implemented the wrswoR::sample_int_crank() function but pull requests are very welcome. I’ve used sample_int_crank() for now because, a) it provides results very similar to those provided by base R, which is what most users will expect, and b) it’s suitably fast. When I have more time I will test others.

Simplified API

I’ve simplified the API. First, the integerisation steps have been rationalised. Previously to integerise the steps involved were weight(), integerise(), and simulate() to produce simulated cases. I removed the simulate() step, and this is now all done with weight() then integerise().

This:

The results of the previous weight() then integerise() functions were rarely, if ever, needed before super–setting of cases, so there was no need to keep the additional step. I have, however, kept the weight() stage because:

simulate() is therefore deprecated, and will return a warning if you try to use it. It will be removed in the next release of rakeR.

The second change to the API is to the rake() function, which now returns either the extracted weights or the integerised weights, specified with output (fractional weights is the default so be careful if you’re expecting this to return integerised weights, as it did previously).

Bug fixes

I’ve made a number of bug fixes and, thanks to Andrew Smith, a couple of behaviours are now rationalised. See NEWS.md to see what’s changed.