dot-hurdle_extract_estimates: Extract Results from TMB Hurdle Fit
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.hurdle_extract_estimates R Documentation
Extract Results from TMB Hurdle Fit
Description
Internal function to extract coefficients, standard errors, and derived
quantities from a fitted TMB hurdle model.
Usage
.hurdle_extract_estimates(opt, obj, sdr, param_names, n_subjects, n_re)
Arguments
opt
Optimization result from nlminb().
obj
TMB objective function object.
sdr
TMB sdreport object (can be NULL).
param_names
List from .hurdle_get_param_names().
n_subjects
Number of subjects.
n_re
Number of random effects.
Value
A list with coefficients, se, variance_components, correlations,
and random effects matrix.
beezdemand documentation built on March 3, 2026, 9:07 a.m.
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| .hurdle_extract_estimates | R Documentation |
Extract Results from TMB Hurdle Fit
Description
Internal function to extract coefficients, standard errors, and derived quantities from a fitted TMB hurdle model.
Usage
.hurdle_extract_estimates(opt, obj, sdr, param_names, n_subjects, n_re)
Arguments
opt |
Optimization result from |
obj |
TMB objective function object. |
sdr |
TMB sdreport object (can be NULL). |
param_names |
List from |
n_subjects |
Number of subjects. |
n_re |
Number of random effects. |
Value
A list with coefficients, se, variance_components, correlations, and random effects matrix.
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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