Analysis of Count Time Series

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Documentation for package ‘tscount’ version 1.4.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

tscount-package	Analysis of Count Time Series
ardistr	Count Data Distributions
campy	Campylobacter Infections Time Series
checkdistr	Count Data Distributions
countdistr	Count Data Distributions
ddistr	Count Data Distributions
ecoli	E. coli Infections Time Series
ehec	EHEC Infections Time Series
influenza	Influenza Infections Time Series
ingarch.acf	Analytical Mean, Variance and Autocorrelation of an INGARCH Process
ingarch.analytical	Analytical Mean, Variance and Autocorrelation of an INGARCH Process
ingarch.mean	Analytical Mean, Variance and Autocorrelation of an INGARCH Process
ingarch.var	Analytical Mean, Variance and Autocorrelation of an INGARCH Process
interv_covariate	Describing Intervention Effects for Time Series with Deterministic Covariates
interv_detect	Detecting an Intervention in Count Time Series Following Generalised Linear Models
interv_detect.tsglm	Detecting an Intervention in Count Time Series Following Generalised Linear Models
interv_multiple	Detecting Multiple Interventions in Count Time Series Following Generalised Linear Models
interv_multiple.tsglm	Detecting Multiple Interventions in Count Time Series Following Generalised Linear Models
interv_test	Testing for Interventions in Count Time Series Following Generalised Linear Models
interv_test.tsglm	Testing for Interventions in Count Time Series Following Generalised Linear Models
invertinfo	Compute a Covariance Matrix from a Fisher Information Matrix
logLik.tsglm	Count Time Series Following Generalised Linear Models
marcal	Predictive Model Assessment with a Marginal Calibration Plot
marcal.default	Predictive Model Assessment with a Marginal Calibration Plot
marcal.tsglm	Predictive Model Assessment with a Marginal Calibration Plot
measles	Measles Infections Time Series
pdistr	Count Data Distributions
pit	Predictive Model Assessment with a Probability Integral Transform Histogram
pit.default	Predictive Model Assessment with a Probability Integral Transform Histogram
pit.tsglm	Predictive Model Assessment with a Probability Integral Transform Histogram
plot.interv_detect	Plot Test Statistic of Intervention Detection Procedure for Count Time Series Following Generalised Linear Models
plot.interv_multiple	Plot for Iterative Intervention Detection Procedure for Count Time Series following Generalised Linear Models
plot.tsglm	Diagnostic Plots for a Fitted GLM-type Model for Time Series of Counts
predict.tsglm	Predicts Method for Time Series of Counts Following Generalised Linear Models
print.summary.tsglm	Summarising Fits of Count Time Series following Generalised Linear Models
print.tsglm	Count Time Series Following Generalised Linear Models
qdistr	Count Data Distributions
QIC	Quasi Information Criterion of a Generalised Linear Model for Time Series of Counts
QIC.tsglm	Quasi Information Criterion of a Generalised Linear Model for Time Series of Counts
rdistr	Count Data Distributions
residuals.tsglm	Residuals of a Generalised Linear Model for Time Series of Counts
scoring	Predictive Model Assessment with Proper Scoring Rules
scoring.default	Predictive Model Assessment with Proper Scoring Rules
scoring.tsglm	Predictive Model Assessment with Proper Scoring Rules
sddistr	Count Data Distributions
se	Standard Errors of a Fitted Generalised Linear Model for Time Series of Counts
se.tsglm	Standard Errors of a Fitted Generalised Linear Model for Time Series of Counts
summary.tsglm	Summarising Fits of Count Time Series following Generalised Linear Models
tscount	Analysis of Count Time Series
tsglm	Count Time Series Following Generalised Linear Models
tsglm.meanfit	Count Time Series Following Generalised Linear Models
tsglm.sim	Simulate a Time Series Following a Generalised Linear Model
vcov.tsglm	Count Time Series Following Generalised Linear Models