utils, ggplot2, plyr, dplyr, reticulate, Rcpp, shiny, shinyjs,
tidyr, leaflet, tibble, methods

View and Classify MELODIC Output for ICA+FIX
person("Andrew", "Poppe", email = "Poppe076@gmail.com", role = c("aut", "cre"))
Provides a graphical interface that allows the user to easily view
and classify output from 'MELODIC', a part of the 'FSL' neuroimaging analysis
software suite that performs independent component analysis (ICA; see
<https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/MELODIC/> for more information). The
user categorizes a component as signal or noise based on its spatial and
temporal characteristics and can then save a text file of these
classifications in the format required by 'ICA+FIX', an automatic noise
removal tool (<https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FIX>).
gtools, RColorBrewer, RNifti, grDevices, RGtk2, cairoDevice,
methods, jsonlite

Jose E. Lozano Alonso <lozalojo@jcyl.es>
Modelization of influenza epidemics in order to monitor
future activity.

Modelization of influenza epidemics in order to monitor future activity.

person(given = "Jose E.", family = "Lozano", email = "lozalojo@gmail.com", role = c("aut", "cre"))
sm, boot, reshape2, RColorBrewer, mixtools, stringr
Tools to model influenza epidemics and to monitor influenza surveillance.

The Moving Epidemic Method, created by T Vega and JE Lozano (2012, 2015) <doi:10.1111/j.1750-2659.2012.00422.x>, <doi:10.1111/irv.12330>, allows the weekly assessment of the epidemic and intensity status to help in routine respiratory infections surveillance in health systems. Allows the comparison of different epidemic indicators, timing and shape with past epidemics and across different regions or countries with different surveillance systems. Also, it gives a measure of the performance of the method in terms of sensitivity and specificity of the alert week.

sm, boot, reshape2, RColorBrewer, mclust, ggplot2, tidyr,
dplyr, stringr

sm, boot, reshape2, RColorBrewer, mclust, ggplot2, tidyr,
dplyr, stringr, RcppRoll, EnvStats

sm, boot, RColorBrewer, mclust, ggplot2, tidyr, dplyr,
RcppRoll, EnvStats