From 857bba707e3da5b6e8dca45d56d252b9fa361756 Mon Sep 17 00:00:00 2001
From: nperez <nperez@bscearth372.int.bsc.es>
Date: Wed, 1 Jul 2020 12:10:39 +0200
Subject: [PATCH] Remove links to function from qmap in doc

---
 R/CST_QuantileMapping.R    | 12 ++++++------
 man/CST_QuantileMapping.Rd | 14 ++------------
 2 files changed, 8 insertions(+), 18 deletions(-)

diff --git a/R/CST_QuantileMapping.R b/R/CST_QuantileMapping.R
index 25651241..9ecf9233 100644
--- a/R/CST_QuantileMapping.R
+++ b/R/CST_QuantileMapping.R
@@ -14,11 +14,11 @@
 #'
 #'@details The different methods are:
 #'\itemize{ 
-#'\item{'PTF'} {fits a parametric transformations to the quantile-quantile relation of observed and modelled values. See \code{\link[qmap]{fitQmapPTF}}.}
-#' \item{'DIST'} {fits a theoretical distribution to observed and to modelled time series. See \code{\link[qmap]{fitQmapDIST}}.}
-#'\item{'RQUANT'} {estimates the values of the quantile-quantile relation of observed and modelled time series for regularly spaced quantiles using local linear least square regression. See \code{\link[qmap]{fitQmapRQUANT}}.}
-#'\item{'QUANT'} {estimates values of the empirical cumulative distribution function of observed and modelled time series for regularly spaced quantiles. See \code{\link[qmap]{fitQmapQUANT}}.}
-#'\item{'SSPLIN'} {fits a smoothing spline to the quantile-quantile plot of observed and modelled time series. See \code{\link[qmap]{fitQmapSSPLIN}}}.}
+#'\item{'PTF'} {fits a parametric transformations to the quantile-quantile relation of observed and modelled values. See \code{?qmap::fitQmapPTF}.}
+#' \item{'DIST'} {fits a theoretical distribution to observed and to modelled time series. See \code{?qmap::fitQmapDIST}.}
+#'\item{'RQUANT'} {estimates the values of the quantile-quantile relation of observed and modelled time series for regularly spaced quantiles using local linear least square regression. See \code{?qmap::fitQmapRQUANT}.}
+#'\item{'QUANT'} {estimates values of the empirical cumulative distribution function of observed and modelled time series for regularly spaced quantiles. See \code{?qmap::fitQmapQUANT}.}
+#'\item{'SSPLIN'} {fits a smoothing spline to the quantile-quantile plot of observed and modelled time series. See \code{?qmap::fitQmapSSPLIN}.}
 #'All methods accepts some common arguments:
 #'\itemize{
 #'\item{wet.day} {logical indicating whether to perform wet day correction or not.(Not available in 'DIS' method)}
@@ -29,7 +29,7 @@
 #'@import multiApply
 #'@import abind
 #'
-#'@seealso \code{\link[qmap]{fitQmap}} and \code{\link[qmap]{doQmap}}
+#'@seealso \code{qmap::fitQmap} and \code{qmap::doQmap}
 #'@examples
 #'library(qmap)
 #'exp <- 1 : (1 * 5 * 10 * 6 * 2 * 3)
diff --git a/man/CST_QuantileMapping.Rd b/man/CST_QuantileMapping.Rd
index ad8f4b6c..9f4e8d4a 100644
--- a/man/CST_QuantileMapping.Rd
+++ b/man/CST_QuantileMapping.Rd
@@ -40,17 +40,7 @@ an oject of class \code{s2dv_cube} containing the experimental data after applyi
 This function is a wrapper from fitQmap and doQmap from package 'qmap'to be applied in CSTools objects of class 's2dv_cube'. The quantile mapping adjustment between an experiment, tipically a hindcast, and observations is applied to the experiment itself or to a provided forecast.
 }
 \details{
-The different methods are:
-\itemize{ 
-\item{'PTF'} {fits a parametric transformations to the quantile-quantile relation of observed and modelled values. See \code{\link[qmap]{fitQmapPTF}}.}
-\item{'DIST'} {fits a theoretical distribution to observed and to modelled time series. See \code{\link[qmap]{fitQmapDIST}}.}
-\item{'RQUANT'} {estimates the values of the quantile-quantile relation of observed and modelled time series for regularly spaced quantiles using local linear least square regression. See \code{\link[qmap]{fitQmapRQUANT}}.}
-\item{'QUANT'} {estimates values of the empirical cumulative distribution function of observed and modelled time series for regularly spaced quantiles. See \code{\link[qmap]{fitQmapQUANT}}.}
-\item{'SSPLIN'} {fits a smoothing spline to the quantile-quantile plot of observed and modelled time series. See \code{\link[qmap]{fitQmapSSPLIN}}}.}
-All methods accepts some common arguments:
-\itemize{
-\item{wet.day} {logical indicating whether to perform wet day correction or not.(Not available in 'DIS' method)}
-\item{qstep} {NULL or a numeric value between 0 and 1.}}
+
 }
 \examples{
 library(qmap)
@@ -85,7 +75,7 @@ res <- CST_QuantileMapping(exp = exp, obs = obs, sample_dims = 'time',
 }
 }
 \seealso{
-\code{\link[qmap]{fitQmap}} and \code{\link[qmap]{doQmap}}
+\code{qmap::fitQmap} and \code{qmap::doQmap}
 }
 \author{
 Nuria Perez-Zanon, \email{nuria.perez@bsc.es}
-- 
GitLab