| prior.b {emulator} | R Documentation |
Gives the fitted regression coefficients corresponding to the specified regression model.
prior.b(H, Ainv, d, b0 = NULL, B0 = NULL) prior.B(H , Ainv , B0=NULL)
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 |
Robin K. S. Hankin
# 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)), power=1.5)
Ainv <- solve(A)
H <- regressor.multi(val)
prior.b(H,Ainv,d)
prior.B(H,Ainv)