add stuff

CRAN-RELEASE

@@ -1,2 +1,2 @@
-This package was submitted to CRAN on 2021-04-26.
-Once it is accepted, delete this file and tag the release (commit 43bc2d9).
+This package was submitted to CRAN on 2021-09-17.
+Once it is accepted, delete this file and tag the release (commit 3cb358e).

DESCRIPTION

@@ -23,7 +23,7 @@ Description: Provides neutral landscape models (<doi:10.1007/BF02275262>,
     neutral models (completely random distributed), to "soft" neutral models 
     (definable spatial characteristics) and generate landscape patterns that are 
     independent of ecological processes.
-    Thus, these patterns can be used as null models in landscape ecology. 'nlmr' 
+    Thus, these patterns can be used as null models in landscape ecology. 'NLMR' 
     combines a large number of algorithms from other published software for 
     simulating neutral landscapes. The simulation results are obtained in a
     geospatial data format (raster* objects from the 'raster' package) and can,
@@ -55,7 +55,6 @@ BugReports: https://github.com/ropensci/NLMR/issues/
 Suggests:
     testthat,
     covr,
-    captioner,
     knitr,
     rmarkdown,
     lintr,

codemeta.json

@@ -86,18 +86,6 @@
       },
       "sameAs": "https://CRAN.R-project.org/package=covr"
     },
-    {
-      "@type": "SoftwareApplication",
-      "identifier": "captioner",
-      "name": "captioner",
-      "provider": {
-        "@id": "https://cran.r-project.org",
-        "@type": "Organization",
-        "name": "Comprehensive R Archive Network (CRAN)",
-        "url": "https://cran.r-project.org"
-      },
-      "sameAs": "https://CRAN.R-project.org/package=captioner"
-    },
     {
       "@type": "SoftwareApplication",
       "identifier": "knitr",

src/RcppExports.cpp

@@ -5,6 +5,11 @@
 
 using namespace Rcpp;
 
+#ifdef RCPP_USE_GLOBAL_ROSTREAM
+Rcpp::Rostream<true>&  Rcpp::Rcout = Rcpp::Rcpp_cout_get();
+Rcpp::Rostream<false>& Rcpp::Rcerr = Rcpp::Rcpp_cerr_get();
+#endif
+
 // rcpp_mpd
 Rcpp::NumericMatrix rcpp_mpd(unsigned ncol, unsigned nrow, double rand_dev, Rcpp::NumericVector rcpp_roughness, unsigned long seed, bool torus);
 RcppExport SEXP _NLMR_rcpp_mpd(SEXP ncolSEXP, SEXP nrowSEXP, SEXP rand_devSEXP, SEXP rcpp_roughnessSEXP, SEXP seedSEXP, SEXP torusSEXP) {