motHessian: Hessian matrix of log-Likelihood for mot model
In lmmot: Multiple Ordinal Tobit (MOT) Model
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Hessian matrix of log-Likelihood for right censored Multiple Ordinal Tobit (MOT) model.
Usage
1
motHessian(param, xx, y, tau)
Arguments
param
parameter vector: (beta_0, beta_1, ... , beta_m, sigma).
xx
design matrix of the model.
y
observation vector.
tau
threshold vector from tau_1 to tau_K.
Value
hessian matrix, summarized over all observations.
Author(s)
Marvin Wright
See Also
lmmot
lmmot documentation built on May 2, 2019, 6:03 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
Hessian matrix of log-Likelihood for right censored Multiple Ordinal Tobit (MOT) model.
Usage
1 | motHessian(param, xx, y, tau)
|
Arguments
param |
parameter vector: (beta_0, beta_1, ... , beta_m, sigma). |
xx |
design matrix of the model. |
y |
observation vector. |
tau |
threshold vector from tau_1 to tau_K. |
Value
hessian matrix, summarized over all observations.
Author(s)
Marvin Wright
See Also
lmmot
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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