person("Simon J.", "Brandl", role = "aut"),
person("Jordan M.", "Casey",  role = "aut"))
Imports: ggplot2 (>= 1.0.1), gridExtra, grid, png, downloader, utils,
httr, magrittr, stringr, dplyr, tidyr, scales, rlang
Packaged: 2020-04-20 16:35:09 UTC; nschiettekatte
Author: Nina M. D. Schiettekatte [cre, aut],

Suggests: testthat, knitr, rmarkdown, rfishbase, rnaturalearth, pkgdown
httr, magrittr, stringr, dplyr, tidyr, scales, rlang, curl
Packaged: 2021-03-11 16:48:40 UTC; nschiettekatte

Packaged: 2021-04-09 16:36:38 UTC; nschiettekatte

Description: A framework for comparing fitted models

Description: A collection of functions for comparing fitted models.

Description: The fit.models function and its associated methods (coefficients,
print, summary, plot, etc.) were originally provided in the robust package to
compare robustly and classically fitted model objects. The aim of the fit.models
package is to separate this fitted model object comparison functionality from
the robust package and to extend it to support fitting methods (e.g., classical,
robust, Bayesian, regularized, etc.) more generally.

Description: The fit.models function and its associated methods (coefficients, print,
summary, plot, etc.) were originally provided in the robust package to compare robustly
and classically fitted model objects. See chapters 2, 3, and 5 in Insightful (2002)
'Robust Library User's Guide' <http://robust.r-forge.r-project.org/Robust.pdf>). The aim
of the fit.models package is to separate this fitted model object comparison functionality
from the robust package and to extend it to support fitting methods (e.g., classical,
Authors@R: person("Kjell", "Konis", role = c("aut", "cre"), email = "kjellk@gmail.com")

Depends: gWidgets, tcltk, tkrplot, RGtk2, gWidgetsRGtk2
Description: This package is for NONMEM user
Packaged: Mon Jan 19 14:49:09 2009; EKLEE

Depends: gWidgets, tcltk, tkrplot, RGtk2, gWidgetsRGtk2,cairoDevice

Depends: gWidgets, tcltk, tkrplot, RGtk2, gWidgetsRGtk2, cairoDevice

Authors@R: c(person(given = "Carl", family = "Witthoft", role = c("aut","cre"), email= "carl@witthoft.com") ,person(given="Jose", family= "Gama",  role = "ctb"), person(given="Nikolai", family = "Chernov", role = "ctb"))
Description: Fit data to an ellipse, hyperbola, or parabola. Bootstrapping is available when needed. The conic curve can be rotated through an  arbitrary angle and the fit will still succeed. Helper functions are  provided to convert generator coefficients from one style to another, generate test data sets, rotate conic section parameters, and so on. References include Nikolai Chernov (2014) "Fitting ellipses, circles, and lines by  least squares" <http://people.cas.uab.edu/~mosya/cl/>; A. W. Fitzgibbon, M. Pilu, R. B. Fisher (1999) "Direct Least Squares Fitting of Ellipses" IEEE Trans. PAMI,  Vol. 21, pages 476-48; N. Chernov, Q. Huang, and H. Ma (2014) "Fitting quadratic curves to data points", British Journal of Mathematics & Computer Science, 4, 33-60; N. Chernov and H. Ma  (2011) "Least squares fitting of quadratic curves and surfaces", Computer Vision, Editor S. R. Yoshida, Nova Science Publishers, pp. 285-302.