cpglm-class

$,cpglm-method

[[,cpglm,numeric,missing-method

[[,cpglm,character,missing-method

[,cpglm,numeric,missing,missing-method

[,cpglm,character,missing,missing-method

coef,cpglm-method

fitted.values,cpglm-method

fitted,cpglm-method

names,cpglm-method

residuals,cpglm-method

resid,cpglm-method

show,cpglm-method

summary,cpglm-method

AIC,cpglm,missing-method

deviance,cpglm-method

model.matrix,cpglm-method

terms,cpglm-method

formula,cpglm-method

df.residual,cpglm-method

vcov,cpglm-method

This class includes the result from calling the <code><a href="/link/cpglm?package=cplm&version=0.1-2" rd-options="" data-mini-rdoc="cplm::cpglm">cpglm</a></code> function to fit the compound Poisson generalized linear model. Several primitive methods and statistical methods are created to facilitate the extraction of specific slots and further statistical analysis.

classes

This package provides methods for fitting Tweedie compound
        Poisson linear models using Monte Carlo EM algorithm and MCMC
        methods. Models that are handled in the package are generalized
        linear models, mixed-effect models and their corresponding
        Bayesian models.

Wayne Zhang

cplm

Monte Carlo EM algorithms and Bayesian methods for fitting
        Tweedie compound Poisson linear models

cpglm-class function

Objects can be created by calls of the form <code>new("cpglm", ...)</code>, or they could also be a result of calls from <code>cpglm</code>.

Objects from the Class

Class <code>"<links4class>list</links4class>"</code>, from data part.
Class <code>"<links4class>vector</links4class>"</code>, by class "list", distance 2.
Class <code>"<links4class>NullList</links4class>"</code>, by class "list", distance 2.

Extends

Class "cpglm" of the result from fitting compound Poisson GLM

cpglm-class: Class "cpglm" of the result from fitting compound Poisson GLM

Description

Arguments

Objects from the Class

Extends

See Also