c(
person("Chaoran", "Hu", email = "chaoran.hu@uconn.edu", role = c("aut", "cre")),
person("Vladimir", "Pozdnyakov", email = "vladimir.pozdnyakov@uconn.edu", role = "ths"),
person("Jun", "Yan", email = "jun.yan@uconn.edu", role = "ths"))
Convolution of gamma distributions in R. The convolution of
gamma distributions is the sum of series of gamma
distributions and all gamma distributions here can have different
parameters. This package can calculate density, distribution function
and do simulation work.
Chaoran Hu [aut, cre],
Vladimir Pozdnyakov [ths],
Jun Yan [ths]

Evaluation for density and distribution function of convolution of gamma
distributions in R. Two related exact methods and one approximate method are
implemented with efficient algorithm and C++ code. A quick guide for choosing
correct method and usage of this package is given in package vignette.

Evaluation for density and distribution function of convolution of gamma
distributions in R. Two related exact methods and one approximate method are
implemented with efficient algorithm and C++ code. A quick guide for choosing
correct method and usage of this package is given in package vignette. For the
detail of methods used in this package, we refer the user to
Mathai(1982)<doi:10.1007/BF02481056>,
Moschopoulos(1984)<doi:10.1007/BF02481123>,
Hu et al.(2019)<doi:10.1007/s00180-019-00924-9>.

Evaluation for density and distribution function of convolution of gamma
distributions in R. Two related exact methods and one approximate method are
implemented with efficient algorithm and C++ code. A quick guide for choosing
correct method and usage of this package is given in package vignette. For the
detail of methods used in this package, we refer the user to
Mathai(1982)<doi:10.1007/BF02481056>,
Moschopoulos(1984)<doi:10.1007/BF02481123>,
Barnabani(2017)<doi:10.1080/03610918.2014.963612>,
Hu et al.(2020)<doi:10.1007/s00180-019-00924-9>.

Cognitive Mapping Tools Based on Coding of Textual Sources
c(person("Frédéric M.", "Vanwindekens", role = c("aut", "cre"),
email = "f.vanwindekens@cra.wallonie.be",
comment = c(ORCID = "0000-0002-9117-7543")),
person("Didier", "Stilmant", role = c("aut","ths"), email = "d.stimant@cra.wallonie.be"),
person("Philippe V.", "Baret",role = c("aut","ths"), email = "philippe.baret@uclouvain.be")
)
Functions for building cognitive maps based on qualitative data. Inputs are textual sources (articles, transcription of qualitative interviews of agents,...). These sources have been coded using relations and are linked to (i) a table describing the variables (or concepts) used for the coding and (ii) a table describing the sources (typology of agents, ...). Main outputs are Individual Cognitive Maps (ICM), Social Cognitive Maps (all sources or group of sources) and a list of quotes linked to relations. This package is linked to the work done during the PhD of Frederic M. Vanwindekens (CRA-W / UCL) hold the 13 of May 2014 at University of Louvain in collaboration with the Walloon Agricultural Research Centre (project MIMOSA, MOERMAN fund).
libcurl: libcurl-devel (rpm) or
libcurl4-openssl-dev (deb).
grDevices, methods, utils, graph, Rgraphviz, grid, ggplot2,
magrittr, car, dplyr (>= 0.8.0.1), tidyr
Frédéric M. Vanwindekens [aut, cre]
(<https://orcid.org/0000-0002-9117-7543>),
Didier Stilmant [aut, ths],
Philippe V. Baret [aut, ths]