LogDensity: Local Estimator of the log-density
In Epsilon127/ldder: Local Density Derivative Estimation
Description
Usage
Arguments
Value
Description
Returns the local estimator of \hat{\boldsymbols{θ}} for the
location(s) x
Usage
1
LogDensity(x, h, type = "Gaussian", method = "LHSE", data)
Arguments
x
A vector or matrix containing the points at which the estimator will be
calculated.
h
A number specifying the bandwidth.
type
A character string specifying the used kernel function.
method
A cherecter string specifying the uesed method. The possible
methods are LHSE, LLLE, LMME, KDE.
data
A data matrix containing in each column a data point.
Value
Returnes the the value \hat{\boldsymbols{θ}} at x.
Eihter as a vector or matrix.
Epsilon127/ldder documentation built on March 7, 2020, 7:47 a.m.
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Description Usage Arguments Value
Description
Returns the local estimator of \hat{\boldsymbols{θ}} for the location(s) x
Usage
1 | LogDensity(x, h, type = "Gaussian", method = "LHSE", data)
|
Arguments
x |
A vector or matrix containing the points at which the estimator will be calculated. |
h |
A number specifying the bandwidth. |
type |
A character string specifying the used kernel function. |
method |
A cherecter string specifying the uesed method. The possible
methods are |
data |
A data matrix containing in each column a data point. |
Value
Returnes the the value \hat{\boldsymbols{θ}} at x.
Eihter as a vector or matrix.
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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