Bump version/email + doc fixes

DESCRIPTION

@@ -1,11 +1,11 @@
 Package: spatialwarnings
 Type: Package
 Title: Spatial Early Warning Signals of Ecosystem Degradation
-Version: 3.0.99
+Version: 3.1.0
 Author: Alain Danet, Alexandre Genin, Vishwesha Guttal, Sonia Kefi,
   Sabiha Majumder, Sumithra Sankaran, Florian Schneider
 License: MIT + file LICENSE
-Maintainer: Alexandre Genin <a.a.h.genin@uu.nl>
+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>).
 URL: https://github.com/spatial-ews/spatialwarnings
 Depends: R (>= 3.3.0), future

R/extra_doc.R

@@ -60,7 +60,7 @@
 #'     as many columns as the number of values returned by the indicator 
 #'     function}
 #'   \item{\code{null_mean}}{the mean indicator values in the null distribution}
-#'   \item{code{null_sd}}{the standard deviation of the null distribution}
+#'   \item{\code{null_sd}}{the standard deviation of the null distribution}
 #'   \item{\code{null_qsup}}{the upper quantile of the null distribution, by default 
 #'     the 95% upper quantile, but see \code{\link{indictest}} for a way to 
 #'     adjust this}

R/lsw_sews.R

@@ -66,8 +66,6 @@
 #' 
 #  # TODO other relevant papers ? 
 #'
-#' @seealso dLSW
-#'
 #' @examples 
 #'
 #' data(dda)
@@ -214,7 +212,7 @@ fit_lnorm <- function(xs) {
 #'
 #' @references 
 #
-#TODO: add reference
+#TODO: add reference to distribution
 #
 #' Siteur, Koen, Quan-Xing Liu, Vivi Rottschäfer, Tjisse van der Heide, Max Rietkerk, 
 #' Arjen Doelman, Christoffer Boström, and Johan van de Koppel. 2023. 
@@ -226,7 +224,7 @@ fit_lnorm <- function(xs) {
 #' dLSW gives the density, pLSW gives the distribution function, both as numerical 
 #'   vectors determined by the length of x. 
 #'
-#'   @seealso dLSW
+#' @seealso lsw_sews
 #'
 #' @examples
 #'