Mean-Parametrized Conway-Maxwell Poisson (COM-Poisson) Regression


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Documentation for package ‘mpcmp’ version 0.1.3

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mpcmp-package Mean-parametrized Conway-Maxwell-Poisson Regression
AIC.cmp Akaike's Information Criterion
attendance Attendance data set
CBIND Combine R Objects by Columns
cmplrtest Likelihood Ratio Test for nested COM-Poisson models
coef.cmp Extract Model Coefficients from a COM-Poisson Model Fit
compnormRandPIT Random Normal Probability Integral Transform
compPIT Non-randomized Probability Integral Transform
compPredProb Non-randomized Probability Integral Transform
COMP_Expected_Values Functions to Compute Various Expected Values for the COM-Poisson Distribution
comp_lambdas Solve for Lambda for a Particular Mean Parametrized COM-Poisson Distribution
comp_means Functions to Compute Various Expected Values for the COM-Poisson Distribution
comp_mean_logfactorialy Functions to Compute Various Expected Values for the COM-Poisson Distribution
comp_mean_ylogfactorialy Functions to Compute Various Expected Values for the COM-Poisson Distribution
comp_mu_loglik Calculate the Log-Likelihood of the COM-Poisson model
comp_variances Functions to Compute Various Expected Values for the COM-Poisson Distribution
comp_variances_logfactorialy Functions to Compute Various Expected Values for the COM-Poisson Distribution
COM_Poisson_Distribution The Conway-Maxwell-Poisson (COM-Poisson) Distribution.
cottonbolls Cotton Bolls data set
dcomp The Conway-Maxwell-Poisson (COM-Poisson) Distribution.
fitted.cmp Extract Fitted Values from a COM-Poisson Model Fit
getnu Parameter Generator for nu
glm.cmp Fit a Mean Parametrized Conway-Maxwell-Poisson Generalized Linear Model
histcompPIT PIT Plots for a CMP Object
is.wholenumber Test for a whole number
logLik.cmp Extract the (Maximized) Log-Likelihood from a COM-Poisson Model Fit
LRTnu Likelihood Ratio Test for nu = 1 of a COM-Poisson model
model.frame.cmp Extract the Model Frame from a COM-Poisson Model Fit
mpcmp Mean-parametrized Conway-Maxwell-Poisson Regression
nobs.cmp Extract the Number of Observation from a COM-Poisson Model Fit
nrPIT Non-randomized Probability Integral Transform
pcomp The Conway-Maxwell-Poisson (COM-Poisson) Distribution.
PIT_Plot PIT Plots for a CMP Object
plot.cmp Plot Diagnostic for a 'glm.cmp' Object
predict.cmp Model Predicitons for a 'glm.cmp' Object
print.cmp Print Values of COM-Poisson Model
print.logLik.cmp Extract the (Maximized) Log-Likelihood from a COM-Poisson Model Fit
qcomp The Conway-Maxwell-Poisson (COM-Poisson) Distribution.
qqcompPIT PIT Plots for a CMP Object
rcomp The Conway-Maxwell-Poisson (COM-Poisson) Distribution.
residuals.cmp Extract COM-Poisson Model Residuals
rPIT Random Normal Probability Integral Transform
summary.cmp Summary of COM-Poisson Model Fit
takeoverbids Takeover Bids data set
update.cmp Update and Re-fit a COM-Poisson Model
Z Calculate the Normalizing Constant for COM-Poisson distribution