File: aws.r

aws()
setawsdefaults()
IQRdiff()
KLdist()
updtheta()
regularize()
awsfamily()
awstestprop()
getvofh()
gethani()

File: lpaws.r

lpaws()

File: awsirregular.r

aws.irreg()
awsisigma2()

File: misc.r

ckernsm()
gceknsm()
Varcor()
Varcor.gauss()
SpatialCorr()
SpatialCorr.gauss()
Spatialvar()
Spatialvar.gauss()
geth.gauss()
get3Dh.gauss()
get.corr.gauss()
gfft()


.Fortran calls:

chaws     in aws(),awstestprop()   in file caws.f
caws      in aws(),awstestprop()   in file caws.f
getvofh   in getvofh()          in file misc.f
gethani   in gethani()          in file misc.f
mpaws1    in lpaws()          in file awslp.f
mpaws2    in lpaws()          in file awslp.f
awsph1    in lpaws()          in file awslp.f
awsph2    in lpaws()          in file awslp.f
awsp1b    in lpaws()          in file awslp.f
awsp2     in lpaws()          in file awslp.f
mask      in aws.irreg()   in file cawsmask.f
cawsmask  in aws.irreg()   in file cawsmask.f
cgawsmas  in aws.irreg()   in file cawsmask.f


Structure of aws-objects

y     -  original/binned data
x     -  design ( dim(y) for data on a grid)
ni    -  number of observed values per grid point
theta -  estimates numeric  1-3 dimensional
         last dimension == polynomial degree+1 if degree>0
var   -  variance of estimates  
mae   - if u was provided
