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asypow.construct.a <- function(constraints,p) {
#----------------------------------------------------------------------
# Contructs the matrix A using constraints
#
# constraints: The constraints which set the null hypothesis from the
# alternative hypothesis. They are in matrix form.
# CONSTRAINT[,1] is 1 for setting parameter to a value
# 2 for equality of two parameters
# CONSTRAINT[,2] is case on CONSTRAINT[,1]
# (1) Number of parameter to set to value
# (2) Number of one of two parameters to be set equal
# CONSTRAINT[,3] is case on CONSTRAINT[,1]
# (1) Value to which parameter is set
# (2) Number of other of two parameters to be set equal
#
# p : The number of parameters in the model.
#
#
# RETURNS a list:
#
# a : matrix that will multiply parameters
#
# phi.ho : values of constrained parameters under the null model
#
# ix.con : ixdex corresponding to phi.ho
#----------------------------------------------------------------------
new.cons <- asypow.constraints(constraints)
constraints <- new.cons$constraints
if (p < new.cons$min.no.cons)
stop("p is too small for the constraint matrix")
s <- dim(constraints)[1]
r <- p - s
ix.con <- constraints[,2]
if (r > 0) {
ix.unc <- (1:p)[-ix.con]
A <- matrix(0,ncol=p,nrow=r)
for(i in 1:r) A[i,ix.unc[i]] <- 1
} else A <- NULL
phi.ho <- rep(NA,s)
Acon <- matrix(0,ncol=p,nrow=s)
for(i in 1:s) {
if(constraints[i,1] == 1) {
Acon[i,constraints[i,2]] <- 1
phi.ho[i] <- constraints[i,3]
} else {
Acon[i,constraints[i,2]] <- 1
Acon[i,constraints[i,3]] <- -1
phi.ho[i] <- 0
}
}
return(list(a=rbind(Acon,A),phi.ho=phi.ho,ix.con=ix.con,
constraints=constraints))
}
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