comment = "improved broom integration"),
observations is larger than the number of parameters to estimate. The speed
gains are obtained by reducing the NxP model matrix to a PxP matrix, and the
best computational performance is obtained when R is linked against 'OpenBLAS',
'Intel MKL' or other optimized 'BLAS' library. This implementation aims at being
compatible with 'broom' and 'sandwich' packages for summary statistics and
Suggests: broom, sandwich, testthat, patrick, rlang, covr
Neal Fulz [rev] (independent code auditing),
Rahul Saxena [ctb] (improved broom integration),

Authors@R: c(person("Marco", "Bascietto", role = c("aut", "cre"),
Description: The European Eddy Fluxes Database Cluster distributes fluxes of different Green House Gases measured mainly using the eddy covariance technique acquired in sites involved in EU projects but also single sites in Europe, Africa and others continents that decided to share their measurements in the database (cit. http://gaia.agraria.unitus.it ). The package provides two functions to load and row-wise bind CSV files distributed by the database. Currently only L3 and L4 (L=Level), half-hourly and daily (aggregation) files are supported.
Depends: R (>= 3.2.0), readr, dplyr, ensurer, magrittr

Title: Read European Eddy Fluxes CSV Files
Description: The European Eddy Fluxes Database Cluster distributes fluxes of different Green House Gases measured mainly using the eddy covariance technique acquired in sites involved in EU projects but also single sites in Europe, Africa and others continents that decided to share their measurements in the database <http://gaia.agraria.unitus.it>. The package provides two functions to load and row-wise bind CSV files distributed by the database. Currently only L2, L3, and L4 (L=Level), half-hourly and daily (aggregation) files are supported.

Title: High-Level Functions to Read and Write Ensemble Forecast Time
Description: The binary file format 'netCDF' is developed primarily for climate, ocean and
meteorological data, and 'efts' is a package to read and write Ensemble Forecast Time
Series data in 'netCDF'. 'netCDF' has traditionally been used to store time slices
of gridded data, rather than complete time series of point data.
'efts' facilitates data handling stored in 'netCDF' files that follow a convention
devised in the domain of ensemble hydrologic forecasting, but possibly applicable
in other domains. 'efts' uses reference class objects to
provide a high level interface to read and write such data, wrapping
lower level operations performed using 'ncdf4'.
person("Jean-Michel", "Perraud", email="jean-michel.perraud@csiro.au", role = c("aut","cre")),
person("David", "Robertson", role = c("aut")),
person("James", "Bennett", role = c("aut"))
Imports: methods, stringr (>= 1.2), lubridate (>= 1.7), magrittr, xts