prior.b: Prior linear fits

Description Usage Arguments Author(s) References Examples

Description

Gives the fitted regression coefficients corresponding to the specified regression model.

Usage

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prior.b(H, Ainv, d, b0 = NULL, B0 = NULL)
prior.B(H , Ainv , B0=NULL)

Arguments

H

Regression basis function (eg that returned by regressor.multi())

Ainv

inv(A) where A is a correlation matrix (eg that returned by corr.matrix())

d

Vector of data points

b0

prior constant

B0

prior coefficients

Author(s)

Robin K. S. Hankin

References

Examples

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# example has 10 observations on 6 dimensions.
# function is just sum( (1:6)*x) where x=c(x_1, ... , x_2)

data(toy)
val <- toy
d <- apply(val,1,function(x){sum((1:6)*x)})

#add some noise:
d <- jitter(d)

A <- corr.matrix(val,scales=rep(1,ncol(val)))
Ainv <- solve(A)
H <- regressor.multi(val)

prior.b(H,Ainv,d)
prior.B(H,Ainv)

emulator documentation built on May 30, 2017, 12:06 a.m.

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