dk: Kernel density function
In konkam/BNPdensity: Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures
dk R Documentation
Kernel density function
Description
This functions evaluates a density at a certain data point. There are 4
density options (1 (normal), 2 (gamma), 3 (beta), 4 (exponential), 5 (lognormal), 6 (half-Cauchy), 7 (half-normal), 8 (half-student), 9 (uniform) and 10 (truncated normal)). All densities are parameterized in terms of mean and standard
deviation.
Usage
dk(x, distr = NULL, mu = NULL, sigma = NULL)
Details
For internal use.
konkam/BNPdensity documentation built on March 14, 2024, 7:15 a.m.
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| dk | R Documentation |
Kernel density function
Description
This functions evaluates a density at a certain data point. There are 4 density options (1 (normal), 2 (gamma), 3 (beta), 4 (exponential), 5 (lognormal), 6 (half-Cauchy), 7 (half-normal), 8 (half-student), 9 (uniform) and 10 (truncated normal)). All densities are parameterized in terms of mean and standard deviation.
Usage
dk(x, distr = NULL, mu = NULL, sigma = NULL)
Details
For internal use.
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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