person( given = "Lore", family = "Merdrignac",
role = c("aut", "ctr", "cre"), email = "l.merdrignac@epiconcept.fr", comment = "Author of the package and original code"),
person( given = "Tommi", family = "Karki",
role = c("aut", "fnd"), email = "tommi.karki@ecdc.europa.eu"),
person( given = "Esther", family = "Kissling",
role = c("aut", "ctr"), email = "e.kissling@epiconcept.fr"),
person( given = "Joana", family = "Gomes Dias",
role = c("aut", "fnd"), email = "joana.gomes.dias@ecdc.europa.eu", comment = "Project manager"))
Description: Drafting an epidemiological report in 'Microsoft Word' format for a given disease,
similar to the Annual Epidemiological Reports published by the European Centre
for Disease Prevention and Control. Through standalone functions, it is specifically
designed to generate each disease specific output presented in these reports and includes:
- Table with the distribution of cases by Member State over the last five years;
- Seasonality plot with the distribution of cases at the European Union / European Economic Area level,
- Trend plot with the trend and number of cases at the European Union / European Economic Area level,
- Age and gender bar graph with the distribution of cases at the European Union / European Economic Area level.
- The default dataset of salmonella 2012-2016 data;
- Any dataset specified as described in the vignette.
Imports: officer, flextable, zoo, png, dplyr, tidyr, ggplot2,
extrafont, graphics, utils, knitr (>= 1.20), rmarkdown
Author: Lore Merdrignac [aut, ctr, cre] (Author of the package and original
Joana Gomes Dias [aut, fnd] (Project manager)

- The default dataset of dengue 2015-2019 data;
Imports: officer, flextable, zoo, png, dplyr, tidyr, tidyselect,

Package: EpiResTest
Type: Package
Title: Latent Residuals Test for Epidemiology and Ecology Models
Version: 1.0
Date: 2014-07-07
Author: Max S. Y. Lau; Jeffrey Pollock
Maintainer: Max S. Y. Lau <maxlauhk54@gmail.com>
Description: Latent residual tests recently developed (Lau et al. 2014) which
are specifically designed to measure the goodness-of-fit of different model
components of a general spatial S-E-I-R model commonly used in epidemiology
and ecology studies. More restrictive model classes such as S-I-R can be
accommodated. Note that although each test is specifically designed to be
sensitive to one particular component of a spatio-temporal model, they are
not theoretically restricted to only testing these specific aspects and can
be used as a general model assessment tool like any other conventional
model selection techniques. The underlying functions are coded in C++ so
they should be generally quick.
Note: Under the null hypothesis that the model is correct, the
residuals follow distribution U(0,1). The examples only compute
a single set of residuals given actual values of most of the
model components which are typically required to be imputed in
data augmentation schemes such as MCMC in which multiple sets
of residuals can be imputed. Only the raw residuals are
outputted, a natural summary statistics of the residual samples
is the p-value which may be computed using Kolmogorov-Smirnov
or Anderson-Darling test.
License: GPL (>= 2)
Imports: Rcpp (>= 0.11.2)
LinkingTo: Rcpp, RcppArmadillo
Suggests: RUnit, ADGofTest
Packaged: 2014-12-05 14:12:57 UTC; sl451
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-12-05 15:29:39