# tscount v1.3.0

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## Analysis of Count Time Series

Likelihood-based methods for model fitting and assessment, prediction and intervention analysis of count time series following generalized linear models are provided. Models with the identity and with the logarithmic link function are allowed. The conditional distribution can be Poisson or Negative Binomial.

## Functions in tscount

 Name Description QIC Quasi Information Criterion of a Generalised Linear Model for Time Series of Counts invertinfo Compute a Covariance Matrix from a Fisher Information Matrix interv_test.tsglm Testing for Interventions in Count Time Series Following Generalised Linear Models countdistr Count Data Distributions influenza Influenza Infections Time Series ehec EHEC Infections Time Series se.tsglm Standard Errors of a Fitted Generalised Linear Model for Time Series of Counts tsglm.sim Simulate a Time Series Following a Generalised Linear Model predict.tsglm Predicts Method for Time Series of Counts Following Generalised Linear Models ingarch.analytical Analytical Mean, Variance and Autocorrelation of an INGARCH Process ecoli E. coli Infections Time Series measles Measles Infections Time Series campy Campylobacter Infections Time Series tsglm Count Time Series Following Generalised Linear Models plot.tsglm Diagnostic Plots for a Fitted GLM-type Model for Time Series of Counts marcal Predictive Model Assessment with a Marginal Calibration Plot pit Predictive Model Assessment with a Probability Integral Transform Histogram scoring Predictive Model Assessment with Proper Scoring Rules summary.tsglm Summarising Fits of Count Time Series following Generalised Linear Models residuals.tsglm Residuals of a Generalised Linear Model for Time Series of Counts 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 interv_multiple.tsglm Detecting Multiple Interventions in Count Time Series Following Generalised Linear Models tscount-package Analysis of Count Time Series interv_detect.tsglm Detecting an Intervention in Count Time Series Following Generalised Linear Models interv_covariate Describing Intervention Effects for Time Series with Deterministic Covariates No Results!