tscount-package |
Analysis of Count Data Time Series |
campy |
Campylobacter Infections Time Series |
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.fit |
Count Time Series Following Generalised Linear Models |
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 |
loglin.fit |
Count Time Series Following Generalised Linear Models |
marcal |
Predictive Model Assessment with a Marginal Calibration Plot for Time Series Following Generalised Linear Models |
marcal.tsglm |
Predictive Model Assessment with a Marginal Calibration Plot for Time Series Following Generalised Linear Models |
measles |
Measles Infections Time Series |
pit |
Predictive Model Assessment with a Probability Integral Transform Histogram for Time Series Following Generalised Linear Models |
pit.tsglm |
Predictive Model Assessment with a Probability Integral Transform Histogram for Time Series Following Generalised Linear Models |
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 |
Predict 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 |
residuals.tsglm |
Residuals of a Generalised Linear Model for Time Series of Counts |
scoring |
Predictive Model Assessment with Proper Scoring Rules for Time Series Following Generalised Linear Models |
scoring.tsglm |
Predictive Model Assessment with Proper Scoring Rules for Time Series Following Generalised Linear Models |
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 Data Time Series |
tsglm |
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 |