# tscount v1.4.2

0

0th

Percentile

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

## Vignettes of tscount

 Name INLA.RData bibliography.bib campy.RData covariates.RData distrcoef_n200.RData distrcoef_size1.RData qic.RData seatbelts.RData tscount-computations.R tsglm.Rnw No Results!