Increased version number

Author: BartJanvanRossum

DESCRIPTION

@@ -5,8 +5,8 @@ Description: Provides tools for fitting linear mixed models using sparse matrix
     methods and variance component estimation. Applications include spline-based 
     modeling of spatial and temporal trends using penalized splines (Boer, 2023) 
     <doi:10.1177/1471082X231178591>.
-Version: 1.0.11.9000
-Date: 2025-08-20
+Version: 1.0.12
+Date: 2025-12-03
 Authors@R: c(person(given = "Martin", 
                     family = "Boer", 
                     email = "martin.boer@wur.nl", 

NEWS.md

@@ -1,11 +1,11 @@
-# LMMsolver 1.0.11.9000
+# LMMsolver 1.0.12
 
 -   First derivatives for `predict` using `deriv` argument now also implemented for `spl2D` and `spl3D`. 
 -   function `effDim()` added to get data.frame with effective dimensions.
--   In the vignette an example added how the generalized heritability can be calculated.
--   Improved code coverage > 95% using tinytest.
+-   In the vignette, an example added how the generalized heritability can be calculated.
+-   Improved code coverage > 95%.
 -   Data sets `barley.uniformity.trial` and `oats.data` added.
--   All data included in the package that are needed for tests using tinytest 
+-   All data included in the package that are needed for tests.
 
 # LMMsolver 1.0.11
 
@@ -24,7 +24,7 @@
 # LMMsolver 1.0.9
 
 -   Binomial response can now also be modelled as `fixed = cbind(failure, succes)`
--   Categorial response using `family = multinomial()`
+-   Categorical response using `family = multinomial()`
 -   Vignette updated, with separate section for GLMM.
 -   doi-link added for `LMMsolver`. 
 -   argument `offset` can be defined as numeric or (new) as column name in data frame.