is_semiparametric: Tests if a fit is a semi parametric or nonparametric model.
In konkam/BNPdensity: Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures
View source: R/helper_functions.R
is_semiparametric R Documentation
Tests if a fit is a semi parametric or nonparametric model.
Description
Tests if a fit is a semi parametric or nonparametric model.
Usage
is_semiparametric(fit)
Arguments
fit
The result of the fit, obtained through the function MixNRMI1 or
MixNRMI2.
Value
TRUE if the fit is a semiparametric model
Examples
set.seed(150520)
data(acidity)
x <- enzyme
out <- MixNRMI1(enzyme, extras = TRUE, Nit = 10)
BNPdensity:::is_semiparametric(out)
konkam/BNPdensity documentation built on March 14, 2024, 7:15 a.m.
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View source: R/helper_functions.R
| is_semiparametric | R Documentation |
Tests if a fit is a semi parametric or nonparametric model.
Description
Tests if a fit is a semi parametric or nonparametric model.
Usage
is_semiparametric(fit)
Arguments
fit |
The result of the fit, obtained through the function MixNRMI1 or MixNRMI2. |
Value
TRUE if the fit is a semiparametric model
Examples
set.seed(150520)
data(acidity)
x <- enzyme
out <- MixNRMI1(enzyme, extras = TRUE, Nit = 10)
BNPdensity:::is_semiparametric(out)
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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