NOTE: for more news about the package, see https://github.com/florianhartig/DHARMa/releases


DHARMa 0.2.4
============

Bugfixes

- corrected issues in the vignette 
- small corrections to help

DHARMa 0.2.3
============

Bugfixes

- added missing distributions https://github.com/florianhartig/DHARMa/pull/104
- bugfix in simulate residuals https://github.com/florianhartig/DHARMa/issues/107

DHARMa 0.2.2
============

Bugfixes 

- fixes bug in Vignette (header lost)

DHARMa 0.2.1
============

New features

- Outlier highlighting (in plots) and formal outlier test, implemented in https://github.com/florianhartig/DHARMa/pull/99
- Supporting now also models fit with the spaMM package

Major changes

- Remodelled createDHARMa function - option to directly provide scaled residuals was removed
- Rewrote ecdf function for DHARMa to get fully balanced scale, in the course of https://github.com/florianhartig/DHARMa/pull/99

Minor changes

- a number of smaller updates, mostly to help files

Bugfixes 

- fixes #82 / Bug in recalculateResiduals


DHARMa 0.2.0
============

New features

- support for glmmTMB https://github.com/florianhartig/DHARMa/issues/16, implemented since https://github.com/florianhartig/DHARMa/releases/tag/v0.1.6.2
- support for grouping of residuals, see https://github.com/florianhartig/DHARMa/issues/22
- residual function for DHARMa


Major changes

- remodeled benchmarks functions in https://github.com/florianhartig/DHARMa/releases/tag/v0.1.6.3
- remodeled dispersion testsin https://github.com/florianhartig/DHARMa/releases/tag/v0.1.6.4, adresses https://github.com/florianhartig/DHARMa/issues/62 

Minor changes

- changed plot function names in https://github.com/florianhartig/DHARMa/releases/tag/v0.1.6.1

Bugfixes

- fixed bug with zeroinflation test for k/n binomial data https://github.com/florianhartig/DHARMa/issues/55
- fixed bug with p-value calculation via ecdf https://github.com/florianhartig/DHARMa/issues/55


DHARMa 0.1.6
============

New features

- option to apply rank tranformation of x values in plotResiduals, see https://github.com/florianhartig/DHARMa/issues/44
- option to convert predictor to factor
- random seed is fixed, random state is recorded

Minor changes

- changed syntax in tests for sptial / temporal autocorrlation - null provides now random. Also, custom distance matrices can be provided to testSpatialAutocorrelation
- slight changes to plot layout

Bugfixes

- error catching for crashes in plot function https://github.com/florianhartig/DHARMa/issues/42
- bugfix for glmer.nb parametricOverdispersinTest https://github.com/florianhartig/DHARMa/issues/47

DHARMa 0.1.5

Minor changes

- fixes a bug in version 0.1.4 that occurred when running simulateResiduals with refit = T. Apologies for any inconvenience. 


DHARMa 0.1.4 
============

Major changes

- new experimental non-parametric dispersion test on simulated residuals. Extended simulations to compare dispersion tests

Minor changes

- supports for binomial with response coded as factor
- error catching for refit procedure https://github.com/florianhartig/DHARMa/issues/18
- warnings in case the refit procedure fails or produces identical parameter values https://github.com/florianhartig/DHARMa/issues/20

DHARMa 0.1.3 
============

Major changes

- includes support for model class 'gam' from package 'mgcv'. Required overwriting the 'fitted' function for gam, see https://github.com/florianhartig/DHARMa/issues/12

Minor changes

- plotResiduals includes support for factors 

- updates to the help 

DHARMa 0.1.2
============

- This bugfix release fixes an issue with backwards compatibility introduced in the 0.1.1 release, which used the 'startsWith' function that is only available in R base since 3.3.0. In 0.1.2, all occurences of 'startsWith' were replaced with 'grepl', which restores the compatibility with older R versions.

DHARMa 0.1.1
============

- 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

DHARMA 0.1.0
============

- initial release, with support for lm, glm, lme4 


