deriv_disc_expr: Get expression of Hessian and Gradient for discrete choice...
In nmm: Nonlinear Multivariate Models
Description
Usage
Arguments
Value
Description
Get expression of Hessian and Gradient for discrete choice model with quantile transformation
Usage
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deriv_disc_expr(
mnf1 = NULL,
smodu1,
attribute = "grad",
ffor = ffor,
MNtypef = "logit"
)
Arguments
mnf1
object containing MNL expressions
smodu1
parameter matrix
attribute
can be "grad" or "hessian"
ffor
discrete choice equations
MNtypef
logit or dogit
Value
derivative expression of discrete equations
nmm documentation built on Jan. 7, 2021, 5:10 p.m.
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Description Usage Arguments Value
Description
Get expression of Hessian and Gradient for discrete choice model with quantile transformation
Usage
1 2 3 4 5 6 7 | deriv_disc_expr(
mnf1 = NULL,
smodu1,
attribute = "grad",
ffor = ffor,
MNtypef = "logit"
)
|
Arguments
mnf1 |
object containing MNL expressions |
smodu1 |
parameter matrix |
attribute |
can be "grad" or "hessian" |
ffor |
discrete choice equations |
MNtypef |
logit or dogit |
Value
derivative expression of discrete equations
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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