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 |