BAT, dismo, geosphere, graphics, grDevices, jsonlite,
maptools, raster, rgdal, rgeos, sp, stats, utils

BAT, dismo, geosphere, graphics, grDevices, jsonlite,
maptools, methods, raster, rgdal, rgeos, sp, stats, utils

BAT, dismo, gdistance, geosphere, graphics, grDevices,
jsonlite, maptools, methods, raster, rgdal, rgeos, sp, stats,
utils

Regularization by Denoising uses a denoising engine to solve
many image reconstruction ill-posed inverse problems. This is a R
implementation of the algorithm developed by Romano et.al. (2016) <arXiv:1611.02862>. Currently,
only the gradient descent optimization framework is implemented. Also,
only the median filter is implemented as a denoiser engine. However,
(almost) any denoiser engine can be plugged in. There are currently available
3 reconstruction tasks: denoise, deblur and super-resolution. And again,
any other task can be easily plugged into the main function 'RED'.

c(
person(given = "Wenjie", family = "Wang",
email = "wenjie.2.wang@uconn.edu",
role = c("aut", "cre")),
person(given = "Haoda", family = "Fu", role = "aut"),
person(given = "Jun", family = "Yan", role = "ctb")
)
Functions that fit gamma frailty model with spline or piecewise
constant baseline rate function for recurrent event data, compute and
plot parametric mean cumulative function (MCF) from a fitted model
as well as nonparametric sample MCF (Nelson-Aalen estimator) are provided.
Most functions are S4 methods that produce S4 class objects.
ggplot2, grDevices, methods, plyr, splines, stats, utils
'class.R' 'aic.R' 'baseline.R' 'coef.R' 'data.R' 'dataCheck.R'
'fit.R' 'mcf.R' 'plot.R' 'reda.R' 'show.R' 'summary.R'
Wenjie Wang [aut, cre],
Haoda Fu [aut],
Jun Yan [ctb]

ggplot2, graphics, grDevices, methods, splines2, stats

Functions for (1) simulating survival, recurrent event, and
multiple event data from stochastic process point of view, (2) exploring
and modeling recurrent event data through the mean cumulative function (MCF)
or also called the Nelson-Aalen estimator of the cumulative hazard rate
function, and gamma frailty model with spline rate function, and (3)
comparing two-sample recurrent event responses with the pseudo-score tests.
Rcpp, ggplot2, graphics, grDevices, methods, splines2, stats
'RcppExports.R' 'class.R' 'Survr.R' 'aic.R' 'baseline.R'
'coef.R' 'data.R' 'mcf-generic.R' 'mcf-formula.R'
'mcf-rateReg.R' 'mcfDiff.R' 'misc.R' 'plot.R' 'rateReg.R'
'reda.R' 'show.R' 'simEvent.R' 'summary.R'