Suggests: knitr, digest, igraph, plm, cubature, numDeriv, data.table

Suggests: knitr, digest, igraph, plm, cubature(>= 1.3-1), numDeriv,

Suggests: knitr, digest, igraph, plm, cubature(>= 2.0.3), numDeriv,

Authors@R: c(person("Simen", "Gaure", email="Simen.Gaure@frisch.uio.no", role=c("aut","cre"),
Suggests: knitr, digest, igraph, plm, cubature (>= 2.0.3), numDeriv,
Author: Simen Gaure [aut, cre] (<https://orcid.org/0000-0001-7251-8747>),

Authors@R: c(person("Simen", "Gaure", email="Simen.Gaure@frisch.uio.no", role=c("aut"),
person("Matthieu","Stigler", email = "Matthieu.Stigler@gmail.com", role= c("ctb", "cre"),
estimating linear models which uses factors with many levels as pure control variables. See Gaure (2013) <doi:10.1016/j.csda.2013.03.024>
robust and multi-way clustered standard errors, as well as limited mobility bias correction (Gaure 2014 <doi:10.1002/sta4.68>).
WARNING: This package is NOT under active development anymore, no further improvements are to be expected, and the package is at risk of being removed from CRAN.
Author: Simen Gaure [aut] (<https://orcid.org/0000-0001-7251-8747>),
Matthieu Stigler [ctb, cre] (<https://orcid.org/0000-0002-6802-4290>),

Description: Various algorithms related to linguistic fuzzy logic: mining for linguistic fuzzy association
rules, performing perception-based logical deduction (PbLD), and forecasting time-series using fuzzy
Imports: Rcpp (>= 0.11.0), foreach, forecast (>= 5.5), plyr, tseries,

rules, composition of fuzzy relations, performing perception-based logical deduction (PbLD),
and forecasting time-series using fuzzy rule-based ensemble (FRBE).

and forecasting time-series using fuzzy rule-based ensemble (FRBE) - see Burda (2015) <doi:10.1109/FUZZ-IEEE.2015.7337826>.

Suggests: testthat, doMC, knitr, rmarkdown
Imports: Rcpp (>= 0.12.12), foreach, forecast (>= 5.5), plyr, tseries,
Author: Michal Burda [aut, cre] (<https://orcid.org/0000-0002-4182-4407>)

Suggests: testthat, doMC, knitr, rmarkdown, R.rsp

and forecasting time-series using fuzzy rule-based ensemble (FRBE). The package also contains basic
fuzzy-related algebraic functions capable of handling missing values in different styles (Bochvar,
Sobocinski, Kleene etc.), computation of Sugeno integrals and fuzzy transform.