Description Usage Arguments Value
get_start_disc
get starting values for discrete choice model.
1 2 3 4 5 6 7 8 | get_start_disc(
MNf1,
hff,
eqest,
sdat,
ppardogit = NULL,
type_select = "smallest"
)
|
MNf1 |
Function to me optimized |
hff |
Hessian function |
eqest |
Equations that will be estimated with nls |
sdat |
Data-set used for in the optimization |
ppardogit |
"dogit" parameters, NULL for "logit" |
type_select |
method for filling missing starting values. Default is "smallest"(closest by the index to the left value). "biggest" takes closest by index to the right value and "random" - samples randomly values. |
Starting values for discrete equations.
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