update DESCRIPTION: date and version

DHARMa/DESCRIPTION

@@ -1,20 +1,20 @@
 Package: DHARMa
 Title: Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models
-Version: 0.4.6.1
-Date: 2022-09-08
+Version: 0.4.7
+Date: 2024-10-16
 Authors@R: c(person("Florian", "Hartig", email = "[email protected]", role = c("aut", "cre"), comment=c(ORCID="0000-0002-6255-9059")), person("Lukas", "Lohse", role = "ctb"))
 Description: The 'DHARMa' package uses a simulation-based approach to create
     readily interpretable scaled (quantile) residuals for fitted (generalized) linear mixed
     models. Currently supported are linear and generalized linear (mixed) models from 'lme4'
-    (classes 'lmerMod', 'glmerMod'), 'glmmTMB', 'GLMMadaptive' and 'spaMM'; phylogenetic 
-    linear models from 'phylolm'(classes 'phylolm' and 'phyloglm'); generalized additive 
+    (classes 'lmerMod', 'glmerMod'), 'glmmTMB', 'GLMMadaptive', and 'spaMM'; phylogenetic 
+    linear models from 'phylolm' (classes 'phylolm' and 'phyloglm'); generalized additive 
     models ('gam' from 'mgcv'); 'glm' (including 'negbin' from 'MASS', but excluding quasi-distributions) and
     'lm' model classes. Moreover, externally created simulations, e.g. posterior predictive simulations
     from Bayesian software such as 'JAGS', 'STAN', or 'BUGS' can be processed as well.
     The resulting residuals are standardized to values between 0 and 1 and can be interpreted
     as intuitively as residuals from a linear regression. The package also provides a number of
     plot and test functions for typical model misspecification problems, such as
-    over/underdispersion, zero-inflation, and residual spatial and temporal autocorrelation.
+    over/underdispersion, zero-inflation, and residual spatial, phylogenetic and temporal autocorrelation.
 Depends:
     R (>= 3.0.2)
 Imports: