LinkingTo: Rcpp (>= 0.10.5), RcppArmadillo (>= 0.4.000)

Title: Greenhouse Gas Flux Calculation from Chamber Measurements
Authors@R: c(person("Roland", "Fuss", role = c("aut", "cre"),
person("Asger R.", "Pedersen", role = "cph",
comment = "for code copied from the not-exported HMR:::.HMR.fit1 function (version 0.3.1)")
Description: Functions for greenhouse gas flux calculation from chamber
AICcmodavg (>= 2.0), stats, graphics, grDevices
Asger R. Pedersen [cph] (for code copied from the not-exported

person("Asger R.", "Pedersen", role = "ctb",
Asger R. Pedersen [ctb] (for code copied from the not-exported

person("Roman", "Hueppi", role = c("ctb")),

Description: Estimation, forecasting, and simulation of generalized
autoregressive score (GAS) models of Creal, Koopman, and Lucas (2013)
Model specification allows for various conditional distributions, different
parametrizations, exogenous variables, higher score and autoregressive
orders, custom and unconditional initial values of time-varying parameters,
fixed and bounded values of coefficients, and missing values.
Model estimation is performed by the maximum likelihood method and the
Imports: abind, arrangements, Matrix, mvnfast, nloptr, numDeriv, pracma

Authors@R: c(person("Fabien", "Navarro", role = c("aut", "cre"),
person("Basile", "De Loynes", role = "aut",
person("Baptiste", "Olivier", role = "aut",
Description: Provides the standard operations for signal processing on graphs:
graph Fourier transform, spectral graph wavelet transform,
visualization tools. It also implements a data driven method
for graph signal denoising/regression, for details see
De Loynes, Navarro, Olivier (2019) <arxiv:1906.01882>.
Imports: scatterplot3d, rwavelet, Rcpp, ggplot2

The package also provides an interface to the SuiteSparse Matrix Collection,
<https://sparse.tamu.edu/>, a large and widely used set of sparse matrix
benchmarks collected from a wide range of applications.
Imports: Rcpp, ggplot2, methods, Matrix, RSpectra

Title: Analyzing Gastric Emptying from MRI or Scintigraphy
Description: Fits gastric emptying time series from MRI or scintigraphic measurements
using nonlinear mixed-model population fits with 'nlme' and Bayesian methods with
Stan; computes derived parameters such as t50 and AUC.
Imports: Rcpp (>= 0.12.6), nlme, dplyr, tibble, ggplot2 (>= 2.2.0),
Suggests: rmarkdown, knitr, covr, testthat, methods