c(
person(given = "Mauricio",
family = "Vargas",
role = c("aut", "cre"),
email = "mavargas11@uc.cl",
comment = c(ORCID = "0000-0003-1017-7574")),
person(given = "Alexey",
family = "Kravchenko",
role = c("ths")),
person(given = "Constanza",
family = "Prado",
role = c("ths")),
person(given = "Yoto",
family = "Yotov",
role = c("ths")),
person(given = "Neal",
family = "Fulz",
role = c("rev"),
comment = "independent code auditing"),
person(given = "Rahul",
family = "Saxena",
role = c("ctb"),
comment = "improved broom integration"),
person(family = "The United Nations",
role = c("dtc", "cph", "fnd")
)
)
Efficient Fitting of Linear and Generalized Linear Models by using
just base R. As an alternative to lm() and glm(), this package provides elm()
and eglm(), with a significant speedup when the number of
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
clustering by providing S3 methods.
broom, sandwich, testthat, patrick, rlang, covr
Mauricio Vargas [aut, cre] (<https://orcid.org/0000-0003-1017-7574>),
Alexey Kravchenko [ths],
Constanza Prado [ths],
Yoto Yotov [ths],
Neal Fulz [rev] (independent code auditing),
Rahul Saxena [ctb] (improved broom integration),
The United Nations [dtc, cph, fnd]

c(person("Marco", "Bascietto", role = c("aut", "cre"),
email = "marco.bascietto@crea.gov.it"))
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.
R (>= 3.2.0), readr, dplyr, ensurer, magrittr