mpcmp-package |
Mean-parametrized Conway-Maxwell Poisson Regression |
AIC.cmp |
Akaike's Information Criterion |
attendance |
Attendance data set |
augment.cmp |
Augment data with information from a(n) CMP model object |
autoplot.cmp |
Plot Diagnostic for a 'glm.cmp' Object in ggplot style |
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_lambdas_fixed_ub |
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_mu_neg_loglik_log_nu_only |
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. |
confint.cmp |
Confidence Intervals for CMP Model Parameters |
cooks.distance.cmp |
CMP Regression Diagnostic |
cottonbolls |
Cotton Bolls data set |
dcomp |
The Conway-Maxwell-Poisson (COM-Poisson) Distribution. |
fish |
Fish data set |
fitted.cmp |
Extract Fitted Values from a COM-Poisson Model Fit |
fit_glm_cmp_const_nu |
Fit a Mean Parametrized Conway-Maxwell Poisson Generalized Linear Model with constant dispersion. |
fit_glm_cmp_vary_nu |
Fit a Mean Parametrized Conway-Maxwell Poisson Generalized Linear Model with varying dispersion. |
getnu |
Parameter Generator for nu |
gg_histcompPIT |
ggplot version of PIT Plots for a CMP Object |
gg_plot |
Plot Diagnostic for a 'glm.cmp' Object in ggplot style |
gg_qqcompPIT |
ggplot version of PIT Plots for a CMP Object |
glance.cmp |
Glance at a(n) CMP model object |
glm.cmp |
Fit a Mean Parametrized Conway-Maxwell Poisson Generalized Linear Model |
hatvalues.cmp |
CMP Regression Diagnostic |
histcompPIT |
PIT Plots for a CMP Object |
influence.cmp |
CMP Regression Diagnostic |
is.wholenumber |
Test for a whole number |
logLik.cmp |
Extract the (Maximized) Log-Likelihood from a COM-Poisson Model Fit |
logZ |
Calculate the Normalizing Constant in log scale for COM-Poisson distribution |
logZ_c |
Calculate the Normalizing Constant in log scale for COM-Poisson distribution The calculation of the function 'logZ' will be performed here. This function is used to approximate the normalizing constant for COM-Poisson distributions via truncation. The standard COM-Poisson parametrization is being used here. |
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 |
model.matrix.cmp |
Extract the Design Matrix 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_ggPlot |
ggplot version of PIT Plots for a CMP Object |
PIT_Plot |
PIT Plots for a CMP Object |
plot.cmp |
Plot Diagnostic for a 'glm.cmp' Object |
predict.cmp |
Model Predictions 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 |
print.summary.cmp |
Summarizing 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. |
regression.diagnostic.cmp |
CMP Regression Diagnostic |
residuals.cmp |
Extract COM-Poisson Model Residuals |
rPIT |
Random Normal Probability Integral Transform |
rstandard.cmp |
CMP Regression Diagnostic |
sitophilus |
Sitophilus data set |
summary.cmp |
Summarizing COM-Poisson Model Fit |
takeoverbids |
Takeover Bids data set |
tidy.cmp |
Tidy a(n) CMP model object |
update.cmp |
Update and Re-fit a COM-Poisson Model |
vcov.cmp |
Extracting the Variance-Covariance Matrix from a COM-Poisson Model Fit |
Z |
Calculate the Normalizing Constant for COM-Poisson distribution |