Interface between GRASS 5.0 geographical information system and R
Interface between GRASS 5.0 geographical information system and R,
based on starting R from within the GRASS environment using values
of environment variables set in the GISRC file. Interface examples
should be run outside GRASS, others may be run within. Wrapper and
helper functions are provided for a range of R functions to match the
interface metadata structures.

Interface between GRASS 5.0 geographical information system and
R
Interface between GRASS 5.0 geographical information
system and R, based on starting R from within the GRASS
environment using values of environment variables set in the
GISRC file. Interface examples should be run outside GRASS,
others may be run within. Wrapper and helper functions are
provided for a range of R functions to match the interface
metadata structures.

Parameter Inference and Optimal Designs for Grouped and/or
Right-Censored Count Data
Xin Guo <x.guo@polyu.edu.hk>, Qiang Fu <qiang.fu@ubc.ca>
We implement two main functions.
The first function uses a given grouped and/or
right-censored grouping scheme and empirical data to infer parameters,
and implements chi-square goodness-of-fit tests.
The second function searches for the global optimal grouping
scheme of grouped and/or right-censored count responses in surveys.

Geospatial Regression Equation for European Nutrient Losses
(GREEN)
c(person("A.", "Udias", role = "aut",
email = "angeludias@gmail.com"),
person("B.", "Grizzetti", role = "aut",
email = "bruna.grizzetti@jrc.it"),
person("O.", "Vigiak", role = "aut",
email = "Olga.VIGIAK@ec.europa.eu"),
person("J.", "Gomez", role = "aut",
email = "javier.gomez@urjc.es"),
person("C.", "Alfaro", role = c("aut", "cre"),
email = "c.alfarog@gmail.com"),
person("A.", "Aloe", role = "aut",
email = "alberto.aloe@jrc.it"))
A. Udias [aut],
B. Grizzetti [aut],
O. Vigiak [aut],
J. Gomez [aut],
C. Alfaro [aut, cre],
A. Aloe [aut]
Tools and methods to apply the model Geospatial Regression Equation
for European Nutrient losses (GREEN);
Grizzetti et al. (2005) <doi:10.1016/j.jhydrol.2004.07.036>;
Grizzetti et al. (2008);
Grizzetti et al. (2012) <doi:10.1111/j.1365-2486.2011.02576.x>;
Grizzetti et al. (2021) <doi:10.1016/j.gloenvcha.2021.102281>.