Package: tscount 1.4.4

Tobias Liboschik

tscount: 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, see Liboschik et al. (2017) <doi:10.18637/jss.v082.i05>. Models with the identity and with the logarithmic link function are allowed. The conditional distribution can be Poisson or Negative Binomial.

Authors:Tobias Liboschik [aut, cre], Roland Fried [aut], Konstantinos Fokianos [aut], Philipp Probst [aut], Jonathan Rathjens [ctb], Nicolò Rubattu [ctb]

tscount_1.4.4.tar.gz
tscount_1.4.4.zip(r-4.7)tscount_1.4.4.zip(r-4.6)tscount_1.4.4.zip(r-4.5)
tscount_1.4.4.tgz(r-4.6-any)tscount_1.4.4.tgz(r-4.5-any)
tscount_1.4.4.tar.gz(r-4.7-any)tscount_1.4.4.tar.gz(r-4.6-any)
tscount_1.4.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tscount/json (API)

# Install 'tscount' in R:

install.packages('tscount', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://r-forge.r-project.org/projects/tscount

Datasets:

campy - Campylobacter Infections Time Series
ecoli - E. coli Infections Time Series
ehec - EHEC Infections Time Series
influenza - Influenza Infections Time Series
measles - Measles Infections Time Series

On CRAN:

5.71 score 1 packages 133 scripts 1.8k downloads 7 mentions 23 exports 1 dependencies

Last updated from:d4774dc5aa. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	132
source / vignettes	OK	261
linux-release-x86_64	OK	137
macos-release-arm64	OK	166
macos-oldrel-arm64	OK	98
windows-devel	OK	123
windows-release	OK	118
windows-oldrel	OK	121
wasm-release	OK	106

Exports:ardistr checkdistr ddistr ingarch.acf ingarch.mean ingarch.var interv_covariate interv_detect interv_multiple interv_test invertinfo marcal pdistr pit qdistr QIC rdistr scoring sddistr se tsglm tsglm.meanfit tsglm.sim

Dependencies:ltsa

tscount: An R Package for Analysis of Count Time Series Following Generalized Linear Models

Rendered fromtsglm.Rnwusingutils::Sweave

Last update: 2020-09-07
Started: 2015-02-06

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

Package: tscount 1.4.4

tscount: Analysis of Count Time Series

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