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R/Variance_estimation_K_SPOR_DynProg.R
In HSPOR: Hidden Smooth Polynomial Regression for Rupture Detection
Defines functions
.Variance_estimation_K_SPOR_DynProg
.Variance_estimation_K_SPOR_DynProg <- function(X,Y,deg,mat_param){
s <- 0
for(i in 1:(deg+1)){
s <- s + mat_param[1,i] * X^(deg+1-i)
}
sigma2 <- sum(((Y - s)^2))/length(X)
return(sigma2)
}
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HSPOR documentation built on Sept. 3, 2019, 9:05 a.m.
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Defines functions .Variance_estimation_K_SPOR_DynProg
.Variance_estimation_K_SPOR_DynProg <- function(X,Y,deg,mat_param){
s <- 0
for(i in 1:(deg+1)){
s <- s + mat_param[1,i] * X^(deg+1-i)
}
sigma2 <- sum(((Y - s)^2))/length(X)
return(sigma2)
}
Try the HSPOR package in your browser
Any scripts or data that you put into this service are public.
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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