dot-hurdle_default_starts: Generate Default Starting Values for Hurdle Model
In beezdemand: Behavioral Economic Easy Demand
.hurdle_default_starts R Documentation
Generate Default Starting Values for Hurdle Model
Description
Internal function to generate sensible default starting values for TMB
hurdle model optimization.
Usage
.hurdle_default_starts(consumption, n_re, n_subjects, has_k)
Arguments
consumption
Numeric vector of consumption values.
n_re
Number of random effects (2 or 3).
n_subjects
Number of subjects.
has_k
Logical, whether the model has a k parameter.
Value
A named list of starting values for TMB parameters.
beezdemand documentation built on March 3, 2026, 9:07 a.m.
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| .hurdle_default_starts | R Documentation |
Generate Default Starting Values for Hurdle Model
Description
Internal function to generate sensible default starting values for TMB hurdle model optimization.
Usage
.hurdle_default_starts(consumption, n_re, n_subjects, has_k)
Arguments
consumption |
Numeric vector of consumption values. |
n_re |
Number of random effects (2 or 3). |
n_subjects |
Number of subjects. |
has_k |
Logical, whether the model has a k parameter. |
Value
A named list of starting values for TMB parameters.
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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