CHANGES IN DMRcate VERSION 1.0.2

BUG FIXES
	annotate() renamed to cpg.annotate to avoid clashes with same-named function in ggplot2

NEW FEATURES
	Kernel estimator has been rewritten from scratch without the need for ks:::kde. Now only takes moderated t-values as cpg weights, as required by the chi-square transformation. 
	Now allows for multi-level factor experiments, as allowed by limma. Contrasts should be specified with a contrast matrix, otherwise the design matrix MUST have an intercept. (Thanks to Tim Triche Jr. and David Martino for their advice).
	A GRanges object can be produced from the results.
	XY probes can also be filtered out using rmSNPandCH().
	DMR.plot() allows group median lines to be plotted to better visualise distances between groups (Thanks to Susan van Dijk and Magnus Tobiasson for their advice).
