pssd_gradient {MixtureFitting} | R Documentation |
Penalized Sum of Squared Differences Using Gaussian Mixture Distribution
Description
Gradient (derivative) function of pssd().
Usage
pssd_gradient( x, y, p )
Arguments
x |
data vector |
y |
response vector |
p |
parameter vector of 3*n parameters, where n is number of mixture components. Structure of p vector is p = c( A1, A2, ..., An, mu1, mu2, ..., mun, sigma1, sigma2, ..., sigman ), where Ai is the proportion of i-th component, mui is the location of i-th component, sigmai is the scale of i-th component. |
Value
Gradient values measured at x.
Author(s)
Andrius Merkys
[Package MixtureFitting version 0.6.1 Index]