[Returnanalytics-commits] r2196 - pkg/PerformanceAnalytics/sandbox/Meucci/R
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Mon Jul 23 04:41:05 CEST 2012
Author: mkshah
Date: 2012-07-23 04:41:05 +0200 (Mon, 23 Jul 2012)
New Revision: 2196
Modified:
pkg/PerformanceAnalytics/sandbox/Meucci/R/HermiteGrid.R
Log:
Correcting mistakes in commenting
Modified: pkg/PerformanceAnalytics/sandbox/Meucci/R/HermiteGrid.R
===================================================================
--- pkg/PerformanceAnalytics/sandbox/Meucci/R/HermiteGrid.R 2012-07-23 02:28:43 UTC (rev 2195)
+++ pkg/PerformanceAnalytics/sandbox/Meucci/R/HermiteGrid.R 2012-07-23 02:41:05 UTC (rev 2196)
@@ -124,7 +124,7 @@
#'
#' @return bw a numeric signifying the bandwidth
#'
-#' @author Manan Shah \email{mkshah at tepper.cmu.edu}
+#' @author Manan Shah \email{mkshah@@tepper.cmu.edu}
kernelbw = function( xi )
{
N = length(xi)
@@ -150,7 +150,7 @@
#'
#' @return p a numeric containing the cumulative probability distribution value of length equal to x
#'
-#' @author Manan Shah \email{mkshah at tepper.cmu.edu}
+#' @author Manan Shah \email{mkshah@@tepper.cmu.edu}
kernelcdf = function( x, xi, bw, wi )
{
n = length(xi)
@@ -176,7 +176,7 @@
#'
#' @return p a vector containing the probability distribution function value of length equal to x
#'
-#' @author Manan Shah \email{mkshah at tepper.cmu.edu}
+#' @author Manan Shah \email{mkshah@@tepper.cmu.edu}
kernelpdf = function( x, xi, bw, wi )
{
n = length(xi)
@@ -202,7 +202,7 @@
#'
#' @return x a vector containing the evaluated numeric values of length equal to p
#'
-#' @author Manan Shah \email{mkshah at tepper.cmu.edu}
+#' @author Manan Shah \email{mkshah@@tepper.cmu.edu}
kernelinv = function( p, xi, bw, wi )
{
nargin <- length(as.list(match.call())) -1
@@ -248,7 +248,7 @@
#'
#' @return f a vector containing the difference between x and p which is of length equal to x or p
#'
-#' @author Manan Shah \email{mkshah at tepper.cmu.edu}
+#' @author Manan Shah \email{mkshah@@tepper.cmu.edu}
private_fun = function( x, xi, bw, wi, p )
{
f = kernelcdf( x, xi, bw, wi ) - p
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