empirical_bernstein: Calculates the empirical or theoretical Bernstein...
In JonasMoss/polygrams: Density Estimation with Mixtures of Disjoint Bernstein Polynomials
Description
Usage
Arguments
Value
View source: R/loss_functions.R
Description
Calculates the empirical or theoretical Bernstein contributions for the
data "data" (or density "d"), splits vector s, with respect to
Bernstein polynomials of order m. Used as a helper function in the
polygram_objective_vector function.
Usage
1
empirical_bernstein(data, s, m, d = NULL)
Arguments
data
The data. Can be either a
s
The vector of splits.
m
The order of the Bernstein polynomial.
d
Optional density, which will override the data if supplied.
Value
An (|s|-1) x (m+1)-dimensional matrix
JonasMoss/polygrams documentation built on Nov. 8, 2019, 5:19 p.m.
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Description Usage Arguments Value
View source: R/loss_functions.R
Description
Calculates the empirical or theoretical Bernstein contributions for the data "data" (or density "d"), splits vector s, with respect to Bernstein polynomials of order m. Used as a helper function in the polygram_objective_vector function.
Usage
1 | empirical_bernstein(data, s, m, d = NULL)
|
Arguments
data |
The data. Can be either a |
s |
The vector of splits. |
m |
The order of the Bernstein polynomial. |
d |
Optional density, which will override the data if supplied. |
Value
An (|s|-1) x (m+1)-dimensional 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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