updated and improved citations in manual

R/SFCB.R

@@ -55,6 +55,9 @@
 #' @author {Remi Servien, \email{remi.servien@inrae.fr}\cr
 #' Nathalie Vialaneix, \email{nathalie.vialaneix@inrae.fr}}
 #' 
+#' @references {Servien, R. and Vialaneix, N. (2023) A random forest approach 
+#' for interval selection in functional regression. Preprint.}
+#' 
 #' @examples 
 #' data(truffles)
 #' out1 <- sfcb(rainfall, truffles, group.method = "adjclust", 

R/sfcb_methods.R

@@ -37,6 +37,8 @@
 #' \code{extract_at}
 #' @author {Remi Servien, \email{remi.servien@inrae.fr}\cr
 #' Nathalie Vialaneix, \email{nathalie.vialaneix@inrae.fr}}
+#' @references {Servien, R. and Vialaneix, N. (2023) A random forest approach 
+#' for interval selection in functional regression. Preprint.}
 #' @details The \code{plot} functions can be used in four different ways to 
 #' extract information from the \code{SFCB} object: \itemize{
 #'  \item \code{plot.type == "dendrogram"} displays the dendrogram obtained at

R/sparseSIR.R

@@ -28,7 +28,7 @@
 #' Remi Servien, \email{remi.servien@inrae.fr}\cr
 #' Nathalie Vialaneix, \email{nathalie.vialaneix@inrae.fr}}
 #' 
-#' @references {Picheny, V., Servien, R. and Villa-Vialaneix, N. (2016) 
+#' @references {Picheny, V., Servien, R., and Villa-Vialaneix, N. (2019) 
 #' Interpretable sparse SIR for digitized functional data. 
 #' \emph{Statistics and Computing}, \strong{29}(2), 255--267.}
 #' 

man/SFCB-class.Rd

@@ -100,6 +100,10 @@ out2 <- sfcb(rainfall, truffles, group.method = "adjclust",
 out3 <- extract_at(out2, at = 6)
 summary(out3)
 
+}
+\references{
+{Servien, R. and Vialaneix, N. (2023) A random forest approach 
+for interval selection in functional regression. Preprint.}
 }
 \seealso{
 \code{\link{sfcb}}

man/ridgeSIR.Rd

@@ -60,7 +60,7 @@ res_ridge <- ridgeSIR(x, y, H = 10, d = 2, mu2 = 10^8)
 
 }
 \references{
-{Picheny, V., Servien, R. and Villa-Vialaneix, N. (2016) 
+{Picheny, V., Servien, R. and Villa-Vialaneix, N. (2019) 
 Interpretable sparse SIR for digitized functional data. 
 \emph{Statistics and Computing}, \strong{29}(2), 255--267.}
 }

man/sfcb.Rd

@@ -87,6 +87,10 @@ out2 <- sfcb(rainfall, truffles, group.method = "adjclust",
              summary.method = "basics", selection.method = "none",
              range.at = c(5, 7))
 }
+\references{
+{Servien, R. and Vialaneix, N. (2023) A random forest approach 
+for interval selection in functional regression. Preprint.}
+}
 \author{
 {Remi Servien, \email{remi.servien@inrae.fr}\cr
 Nathalie Vialaneix, \email{nathalie.vialaneix@inrae.fr}}

man/sparseSIR.Rd

@@ -88,7 +88,7 @@ res_sparse <- sparseSIR(res_ridge, rep(10, 20))
 
 }
 \references{
-{Picheny, V., Servien, R. and Villa-Vialaneix, N. (2016) 
+{Picheny, V., Servien, R., and Villa-Vialaneix, N. (2019) 
 Interpretable sparse SIR for digitized functional data. 
 \emph{Statistics and Computing}, \strong{29}(2), 255--267.}
 }