Package index • mpcmp

All functions

AIC(<cmp>): Akaike's Information Criterion
dcomp() pcomp() qcomp() rcomp(): The Conway-Maxwell-Poisson (COM-Poisson) Distribution.
LRTnu(): Likelihood Ratio Test for nu = 1 of a COM-Poisson model
histcompPIT() qqcompPIT(): PIT Plots for a CMP Object
gg_histcompPIT() gg_qqcompPIT(): ggplot version of PIT Plots for a CMP Object
Z(): Calculate the Normalizing Constant for COM-Poisson distribution
attendance: Attendance data set
augment(<cmp>): Augment data with information from a(n) CMP model object
autoplot(<cmp>) gg_plot(): Plot Diagnostic for a glm.cmp Object in ggplot style
cmplrtest(): Likelihood Ratio Test for nested COM-Poisson models
coef(<cmp>): Extract Model Coefficients from a COM-Poisson Model Fit
confint(<cmp>): Confidence Intervals for CMP Model Parameters
cottonbolls: Cotton Bolls data set
fish: Fish data set
fitted(<cmp>): Extract Fitted Values from a COM-Poisson Model Fit
glance(<cmp>): Glance at a(n) CMP model object
glm.cmp(): Fit a Mean Parametrized Conway-Maxwell Poisson Generalized Linear Model
logLik(<cmp>) print(<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
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
nobs(<cmp>): Extract the Number of Observation from a COM-Poisson Model Fit
compPredProb() compPIT(): Non-randomized Probability Integral Transform
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(<cmp_autoplot_list>): Print Method for a cmp_autoplot_list Object
compnormRandPIT(): Random Normal Probability Integral Transform
influence(<cmp>) hatvalues(<cmp>) rstandard(<cmp>) cooks.distance(<cmp>): CMP Regression Diagnostic
residuals(<cmp>): Extract COM-Poisson Model Residuals
sitophilus: Sitophilus data set
summary(<cmp>) print(<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