Get ready for CRAN release

biodiverse · Sep 11, 2024 · 29b0ee0 · 29b0ee0
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,8 +1,8 @@
 Package: AHMbook
 Type: Package
 Title: Functions and Data for the Book 'Applied Hierarchical Modeling in Ecology' Vols 1 and 2
-Version: 0.2.11
-Date: 2024-01-14
+Version: 0.2.10
+Date: 2024-09-11
 Depends: R (>= 2.10)
 Imports: grDevices, graphics, methods, stats, utils, unmarked (>= 0.12.2), mvtnorm
 Suggests: coda, fields, raster, sp, spdep
@@ -51,7 +51,7 @@ Description: Provides functions to simulate data sets from hierarchical ecologic
 License: GPL (>=3)
 Copyright: file COPYRIGHTS
 NeedsCompilation: no
-URL: https://sites.google.com/site/appliedhierarchicalmodeling/home
-BugReports: https://github.com/kenkellner/AHMbook/issues
+URL: https://www.mbr-pwrc.usgs.gov/pubanalysis/keryroylebook/
+BugReports: https://github.com/hmecology/AHMbook/issues
 Encoding: UTF-8
 Language: en-US
diff --git a/NEWS b/NEWS
@@ -1,10 +1,7 @@
-CHANGES in 0.2.11 (2023-01-14)
-
-  * Move coda, fields, raster, sp, spdep to suggests
-
-CHANGES in 0.2.10 (2023-11-04)
+CHANGES in 0.2.10 (2024-09-11)
 
   * Remove plotrix from dependencies
+  * Move coda, fields, raster, sp, spdep to suggests
 
 CHANGES in 0.2.9 (2023-08-21)
 

diff --git a/README.md b/README.md
@@ -2,7 +2,7 @@ AHMbook
 =======
 
 [![R build
-status](https://github.com/kenkellner/AHMbook/workflows/R-CMD-check/badge.svg)](https://github.com/kenkellner/AHMbook/actions)
+status](https://github.com/hmecology/AHMbook/workflows/R-CMD-check/badge.svg)](https://github.com/hmecology/AHMbook/actions)
 [![CRAN status](https://www.r-pkg.org/badges/version/AHMbook)](https://cran.r-project.org/web/packages/AHMbook/index.html)
 [![Downloads](https://cranlogs.r-pkg.org/badges/last-month/AHMbook)](https://www.r-pkg.org/services)
 

diff --git a/man/simDataDK.Rd b/man/simDataDK.Rd
@@ -97,6 +97,7 @@ str(tmp <- simDataDK(), 1)  # use str(., max.level=1) to limit the amount of out
 
 str(tmp <- simDataDK(show.plot=FALSE), 1)  # no plots
 
+\donttest{
 str(tmp <- simDataDK(sqrt.npix = 500), 1)  # much larger landscape
 
 str(tmp <- simDataDK(alpha = c(-1,1)), 1)  # positive effect of W on bias rate parameter b
@@ -107,3 +108,4 @@ str(tmp <- simDataDK(drop.out.prop = 0), 1)# No final uniform thinning ("drop ou
 
 str(tmp <- simDataDK(beta = c(6, 1)), 1)   # steeper gradient of habitat suitability
 }
+}