| pred.env.apweights {Renvlp} | R Documentation |
Estimation or prediction for env.apweights
Description
Perform estimation or prediction under the response envelope model with accommodation to nonconstant variance.
Usage
pred.env.apweights(m, Xnew)
Arguments
m |
A list containing estimators and other statistics inherited from env.apweights. |
Xnew |
The value of X with which to estimate or predict Y. A p dimensional vector. |
Details
This function evaluates the envelope model with nonconstant variance at new value Xnew. It can perform estimation: find the fitted value when X = Xnew, or prediction: predict Y when X = Xnew. The covariance matrix and the standard errors are also provided.
Value
The output is a list that contains following components.
value |
The fitted value or the predicted value evaluated at Xnew. |
covMatrix.estm |
The covariance matrix of the fitted value at Xnew. |
SE.estm |
The standard error of the fitted value at Xnew. |
covMatrix.pred |
The covariance matrix of the predicted value at Xnew. |
SE.pred |
The standard error of the predicted value at Xnew. |
Examples
data(concrete)
X <- concrete[, 1:7]
Y <- concrete[, 8:10]
## Not run: u <- u.envapweights(X, Y)
## Not run: u
m <- env.apweights(X, Y, 2)
m
X <- as.matrix(X)
pred.res <- pred.env.apweights(m, X[2, ])
pred.res