Nothing
setMethod("name", "RobWeight", function(object) object@name)
setReplaceMethod("name", "RobWeight",
function(object, value){
object@name <- value
object
})
setMethod("clip", "BoundedWeight", function(x1) x1@clip)
setReplaceMethod("clip", "BoundedWeight",
function(object, value){
object@clip <- value
object
})
setMethod("stand", "BdStWeight", function(object) object@stand)
setReplaceMethod("stand", "BdStWeight",
function(object, value){
object@stand <- value
object
})
setMethod("cent", "HampelWeight", function(object) object@cent)
setReplaceMethod("cent", "HampelWeight",
function(object, value){
object@cent <- value
object
})
setMethod("weight", "RobWeight", function(object) object@weight)
setReplaceMethod("weight", "RobWeight",
function(object, value){
object@weight <- value
object
})
setMethod("getweight",
signature(Weight = "HampelWeight", neighbor = "ContNeighborhood",
biastype = "BiasType"),# normtype = "NormType"),
function(Weight, neighbor, biastype, normW)
{A <- stand(Weight)
b <- clip(Weight)
z <- cent(Weight)
function(x){
y <- A%*%(x-z)
norm0 <- fct(normW)(y)
ind2 <- (norm0 < b/2)
norm1 <- ind2*b/2 + (1-ind2)*norm0
ind1 <- (norm0 < b)
ind1 + (1-ind1)*b/norm1
}
}
)
setMethod("getweight",
signature(Weight = "HampelWeight", neighbor = "ContNeighborhood",
biastype = "onesidedBias"),# norm = "missing"),
function(Weight, neighbor, biastype, ...)
{A <- stand(Weight)
b <- clip(Weight)
z <- cent(Weight)
function(x){
y <- as.numeric(as.matrix(A)%*%(x-z))*sign(biastype)
norm1 <- pmax(y,b/2)
pmin(1,b/norm1)
}
}
)
setMethod("getweight",
signature(Weight = "HampelWeight", neighbor = "ContNeighborhood",
biastype = "asymmetricBias"),# norm = "missing"),
function(Weight, neighbor, biastype, ...)
{A <- stand(Weight)
b <- clip(Weight)
b1 <- b/nu(biastype)[1]
b2 <- b/nu(biastype)[2]
z <- cent(Weight)
function(x){
y <- as.numeric(as.matrix(A)%*%(x-z))
norm1 <- pmax(-y,b1/2)
norm2 <- pmax(y,b2/2)
pmin(1,b1/norm1,b2/norm2)
}
}
)
setMethod("getweight",
signature(Weight = "BdStWeight", neighbor = "TotalVarNeighborhood",
biastype = "BiasType"),# norm = "missing"),
function(Weight, neighbor, biastype, ...)
{A <- stand(Weight)
b <- clip(Weight)
b1 <- -b[1]
b2 <- b[2]
function(x){
y <- as.numeric(as.matrix(A)%*%x)
norm1 <- pmax(-y,b1/2)
norm2 <- pmax(y,b2/2)
pmin(1,b1/norm1,b2/norm2)
}
}
)
setMethod("minbiasweight",
signature(Weight = "HampelWeight", neighbor = "ContNeighborhood",
biastype = "BiasType"),# norm = "NormType"),
function(Weight, neighbor, biastype, normW)
{A <- stand(Weight)
b <- clip(Weight)
z <- cent(Weight)
function(x){
y <- A%*%(x-z)
norm0 <- fct(normW)(y)
ind <- 1-.eq(norm0)
ind*b/(norm0+1-ind)
}
}
)
setMethod("minbiasweight",
signature(Weight = "HampelWeight", neighbor = "ContNeighborhood",
biastype = "asymmetricBias"),# norm = "missing"),
function(Weight, neighbor, biastype, ...)
{A <- stand(Weight)
b <- clip(Weight)
b1 <- -b[1]
b2 <- b[2]
z <- cent(Weight)
function(x){
y <- as.numeric(as.matrix(A)%*%(x-z))
indp <- (y>0)
ind0 <- .eq(y)
indm <- (y<0)
indm*b1/(y+ind0) + indp*b2/(y+ind0)
}
}
)
setMethod("minbiasweight",
signature(Weight = "HampelWeight", neighbor = "ContNeighborhood",
biastype = "onesidedBias"),# norm = "missing"),
function(Weight, neighbor, biastype, ...)
{A <- stand(Weight)
b <- clip(Weight)
z <- cent(Weight)
function(x){
y <- as.numeric(as.matrix(A)%*%(x-z))
ind <- (y*sign(biastype) >0)
ind0 <- .eq(y)
ind*b/(y+ind0)+(1-ind)
}
}
)
setMethod("minbiasweight",
signature(Weight = "BdStWeight", neighbor = "TotalVarNeighborhood",
biastype = "BiasType"),
function(Weight, neighbor, biastype, ...)
{A <- stand(Weight)
b <- clip(Weight)
b1 <- b[1]
b2 <- b[2]
function(x){
y <- as.numeric(as.matrix(A)%*%(x))
indp <- (y>0)
ind0 <- .eq(y)
indm <- (y<0)
indm*b1/(y+ind0) + indp*b2/(y+ind0)
}
}
)
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