Fix some NOTEs on win-builder

DESCRIPTION

@@ -2,11 +2,31 @@ Package: spatialwarnings
 Type: Package
 Title: Spatial Early Warning Signals of Ecosystem Degradation
 Version: 3.1.0
-Author: Alain Danet, Alexandre Genin, Vishwesha Guttal, Sonia Kefi,
-  Sabiha Majumder, Sumithra Sankaran, Florian Schneider
+Authors@R: c(person(given = "Alain",
+                    family = "Danet",
+                    role = "aut"),
+              person(given = "Alexandre",
+                    family = "Genin",
+                    role = c("aut", "cre"),
+                    email = "alexandre.genin@sete.cnrs.fr"),
+              person(given = "Vishwesha",
+                    family = "Guttal",
+                    role = "aut"),
+              person(given = "Sonia",
+                    family = "Kefi",
+                    role = "aut"),
+              person(given = "Sabiha",
+                    family = "Majumder",
+                    role = "aut"),
+              person(given = "Sumithra",
+                    family = "Sankaran",
+                    role = "aut"),
+              person(given = "Florian",
+                    family = "Schneider",
+                    role = "aut"))
 License: MIT + file LICENSE
 Maintainer: Alexandre Genin <alexandre.genin@sete.cnrs.fr>
-Description: Tools to compute and assess significance of early-warnings signals (EWS) of ecosystem degradation on raster data sets. EWS are metrics derived from the observed spatial structure of an ecosystem -- e.g. spatial autocorrelation -- that increase before an ecosystem undergoes a non-linear transition (Genin et al. (2018) <doi:10.1111/2041-210X.13058>).
+Description: Tools to compute and assess significance of early-warnings signals (EWS) of ecosystem degradation on raster data sets. EWS are spatial metrics derived from raster data -- e.g. spatial autocorrelation -- that increase before an ecosystem undergoes a non-linear transition (Genin et al. (2018) <doi:10.1111/2041-210X.13058>).
 URL: https://github.com/spatial-ews/spatialwarnings
 BugReports: https://github.com/spatial-ews/spatialwarnings/issues
 Depends: R (>= 3.3.0), future

R/display_matrix.R

@@ -11,7 +11,7 @@
 #'   \code{*_sews} functions or \code{indictest()}
 #' 
 #' @param palette A color palette to use in the plot. It can be any color 
-#'   palette understood by \link{scale_fill_brewer}. 
+#'   palette understood by \link[ggplot2]{scale_fill_brewer}. 
 #' 
 #' @param along A vector of values used in facet headers. If \code{object} is 
 #'   a matrix, this is ignored. 

R/indictest.R

@@ -44,7 +44,7 @@
 #'   a generalized linear model of the form `y ~ 1` (where y represents the 
 #'   values of the matrix) is fitted, then values are drawn from this model. If 
 #'   \code{null_method} is set to "smooth", then a smooth surface is fitted
-#'   based on a generalized additive model (using \code{\link[=mgcv]{gam}}) to
+#'   based on a generalized additive model (using \code{\link[mgcv]{gam}}) to
 #'   the matrix, then values are drawn from this model. When using the
 #'   "intercept" or "smooth" null models, it is important to make sure the
 #'   model 'family' corresponds to the type of values present in the matrix. By