NOTE: for more news about the package, see https://github.com/florianhartig/DHARMa/releases
included option to simulate mgcv models using the functions implemented in mgcViz which should improve mgcv compatibility with DHARMa
Added option to include plot title in plot() #320
This is actually a bugfix release for 0.3.4, but on reflection I decided that 0.4.0 should have been a minor release, so I pushed the version number up to 0.4.0
0.3.4 is a relatively important release with various minor improvements a smaller new features, most noteworthy the support of glmmAdaptive
added smooth scatter in plotResiduals https://github.com/florianhartig/DHARMa/commit/da01d8c7a9a74558817e4a73fe826084164cf05d
glmmTMB now fully supported through new compulsory version 1.0 of glmmTMB, which includes the re.form argument in the simulations required by DHARMa https://github.com/florianhartig/DHARMa/pull/140
plotResiduals includes support for factors
updates to the help
including now the negative binomial models from MASS and lme4, as well as the possibility to create synthetic data from the negative binomial family
includes a createDHARMa function that allows using the plot functions of DHARMa also with externally created simualtions, for example for Bayesian predictive simulations
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