Description Usage Arguments Value Examples
Calculates the d-efficiency of a supplied data frame of input variables based on a supplied formula and the ratio of the d-efficiency to the optimal d-efficiency. Model matrix is standardized by the function.
1 | d_efficiency(CurrentMatrix, det_ref, input_formula, Input_range)
|
CurrentMatrix |
Data frame with column for each basic variable contained in the input formula. |
det_ref |
Reference optimal d-efficiency for calculating the d-efficiency ratio. |
input_formula |
Formula to be used for model matrix creation |
Input_range |
Range of basic input variables in the input data frame. Column names must match input_formula term names. Format is a matrix or data frame with column in Input_range matching each column name in CurrentMatrix, minimum value in first row, and maximum value in second row. |
A vector is returned containing:
d_eff |
Ratio of the d-efficiency of the supplied model to the optimal model, (det(M'M)/det_ref)^(1/k) where M is the supplied model matrix of the supplied model and det_ref is the supplied optimal information matrix determinant |
vcov |
Variance covariance matrix. |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
## The function is currently defined as
function (CurrentMatrix, det_ref, input_formula, Input_range)
{
CurrentMatrix <- data.frame(CurrentMatrix)
modelmat <- model.matrix(input_formula, data = CurrentMatrix)
modelmat <- standardize_cols(modelmat, colnames(modelmat[,
2:ncol(modelmat)]), Input_range = Input_range)
det_calc <- det(t(modelmat) %*% modelmat)
if (det_calc < 0) {
det_calc <- 0
}
d_eff <- ((det_calc/det_ref)^(1/(ncol(modelmat))))
returnvect <- c(d_eff, det_calc)
names(returnvect) <- c("D efficiency", "Info Matrix Determinant")
return(returnvect)
}
|
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