c(person("Steven Andrew", "Culpepper",
email = "sculpepp@illinois.edu",
role = c("aut", "cre", "cph"),
comment = c(ORCID = "0000-0003-4226-6176")
))
Steven Andrew Culpepper [aut, cre, cph]
(<https://orcid.org/0000-0003-4226-6176>)

c(
person("Steven Andrew", "Culpepper",
email = "sculpepp@illinois.edu",
role = c("aut", "cre", "cph"),
comment = c(ORCID = "0000-0003-4226-6176")
)
)

Computes Fourier integrals of functions of one and two variables using the Fast Fourier transform. The Fourier transforms must be evaluated on a regular grid.

MASS, knitr, rmarkdown, microbenchmark, dplyr, tidyr, purrr,
ggplot2, lattice

MASS, knitr, rmarkdown, dplyr, tidyr, purrr, ggplot2,
lattice, rbenchmark

Computes Fourier integrals of functions of one and two variables using the Fast Fourier transform. The Fourier transforms must be evaluated on a regular grid for fast evaluation.

Reliable Comparison of Floating Point Numbers
c(
person("Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada",
role="cph"),
person(c("Alex", "M"), "Chubaty",
email="achubaty@NRCan.gc.ca",
role=c("aut", "cre"))
)
Comparisons of floating point numbers are problematic due to errors
associated with the binary representation of decimal numbers.
Despite being aware of these problems, people still use numerical methods
that fail to account for these and other rounding errors (this pitfall is
the first to be highlighted in Circle 1 of Burns (2012)
[The R Inferno](http://www.burns-stat.com/pages/Tutor/R_inferno.pdf)).
This package provides four new relational operators useful for performing
floating point number comparisons with a set tolerance.
Her Majesty the Queen in Right of Canada, as represented by the
Minister of Natural Resources Canada [cph],
Alex M Chubaty [aut, cre]

c(
person(c("Alex", "M"), "Chubaty", email="achubaty@NRCan.gc.ca",
role=c("aut", "cre")),
person("Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada",
role="cph")
)
Comparisons of floating point numbers are problematic due to errors
associated with the binary representation of decimal numbers.
Despite being aware of these problems, people still use numerical methods
that fail to account for these and other rounding errors (this pitfall is
the first to be highlighted in Circle 1 of Burns (2012)
[The R Inferno](http://www.burns-stat.com/pages/Tutor/R_inferno.pdf)).
This package provides new relational operators useful for performing
floating point number comparisons with a set tolerance.