NormalGridFcn: Compute the values of n normal PDFs (or their derivatives at...
In scdensity: Shape-Constrained Kernel Density Estimation
Description
Usage
Arguments
Value
Description
Grid points are specified in g. Returns an m-by-n matrix. The (i,j)th element of
the matrix is the rth derivative of N(mu(j),sd(j)) at g(i).
Usage
1
NormalGridFcn(g, r, mu, sd)
Arguments
g
Locations at which to evaluate the normal densities.
r
Derivative degree of the densities to evaluate (0, 1, 2, or 3).
mu
Means/locations for the normal densities.
sd
Standard deviations of the normal densities.
Value
An m-by-n matrix as described above.
scdensity documentation built on May 1, 2019, 10:26 p.m.
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Description Usage Arguments Value
Description
Grid points are specified in g. Returns an m-by-n matrix. The (i,j)th element of the matrix is the rth derivative of N(mu(j),sd(j)) at g(i).
Usage
1 | NormalGridFcn(g, r, mu, sd)
|
Arguments
g |
Locations at which to evaluate the normal densities. |
r |
Derivative degree of the densities to evaluate (0, 1, 2, or 3). |
mu |
Means/locations for the normal densities. |
sd |
Standard deviations of the normal densities. |
Value
An m-by-n matrix as described above.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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