control_glmcat: Control parameters for 'glmcat' models
In GLMcat: Generalized Linear Models for Categorical Responses
View source: R/GLMcatMethods.R
control_glmcat R Documentation
Control parameters for glmcat models
Description
Set control parameters for glmcat models.
Usage
control_glmcat(maxit = 25, epsilon = 1e-06, beta_init = NA)
Arguments
maxit
the maximum number of the Fisher's Scoring Algorithm iterations. Defaults to 25.
epsilon
a double to change update the convergence criterion of GLMcat models.
beta_init
an appropriate sized vector for the initial iteration of the algorithm.
GLMcat documentation built on Sept. 30, 2024, 5:08 p.m.
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View source: R/GLMcatMethods.R
| control_glmcat | R Documentation |
Control parameters for glmcat models
Description
Set control parameters for glmcat models.
Usage
control_glmcat(maxit = 25, epsilon = 1e-06, beta_init = NA)
Arguments
maxit |
the maximum number of the Fisher's Scoring Algorithm iterations. Defaults to 25. |
epsilon |
a double to change update the convergence criterion of GLMcat models. |
beta_init |
an appropriate sized vector for the initial iteration of the algorithm. |
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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