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update to fda_5.5.0
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man/mongrad.Rd

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\name{mongrad}
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\alias{mongrad}
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\title{
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Evaluate the gradient of a monotone function
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}
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\description{
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Evaluates the gradient of a monotone function with respect to the coefficients defining
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the log-first derivative $W(t)$ at each of a set of argument values.}
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\usage{
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mongrad(x, Wfdobj, basislist=vector("list",JMAX),
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returnMatrix=FALSE)
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}
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%- maybe also 'usage' for other objects documented here.
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\arguments{
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\item{x}{A numerical vector at which function and derivative are
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evaluated.}
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\item{Wfdobj}{A functional data object.}
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\item{basislist}{A list containing values of basis functions.}
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\item{returnMatrix}{
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logical: If TRUE, a two-dimensional is returned using a
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special class from the Matrix package.}
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}
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\value{
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A matrix with as many rows as argument values and as many columns as basis functions
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defining $W$.
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}
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\references{
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Ramsay, James O., Hooker, G. and Graves, S. (2009), \emph{Functional
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Data Analysis with R and Matlab}, Springer, New York.
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Ramsay, James O., and Silverman,
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Bernard W. (2005), \emph{Functional
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Data Analysis, 2nd ed.}, Springer, New York.
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Ramsay, James O., and Silverman,
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Bernard W. (2002), \emph{Applied
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Functional Data Analysis}, Springer, New York.
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}
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\author{
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J. O. Ramsay
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}
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\seealso{
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\code{\link{monfn}},
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\code{\link{monhess}},
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\code{\link{landmarkreg}},
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\code{\link{smooth.morph}},
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\code{\link{smooth.morph2}}
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}

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