criteria.values.mse {MOODE} | R Documentation |
Evaluating individual criteria of the designs
Description
Calculating values of determinant- and trace-based components of MSE(D)- and MSE(L)- criteria for an output of a search object, with model and control parameters set in a mood object.
Usage
criteria.values.mse(search.obj, mood.obj, eps = 10^-20, Biter = 1000)
Arguments
search.obj |
Output of the ‘Search’ function |
mood.obj |
Output of the ‘mood’ function |
eps |
Computational tolerance, default 10^-20 |
Biter |
MC sample size for evaluating the mse(D)-component |
Value
List of the calculated values:
-
df
pure error degrees of freedom -
Ds
Ds-criterion value, intercept excluded -
DP
DPs-criterion value, intercept excluded -
LoFDP
LoF(DP)-criterion value -
mseD
mse(D)-criterion value, obtained via MC sampling -
mseP
mse(D)-criterion value, obtained using point prior -
L
L-criterion value, intercept excluded -
LP
LP-criterion value, intercept excluded -
LoFLP
LoF(LP)-criterion value -
mseL
mse(L)-criterion value