a method for variable selection based on the SVD, Bézier lines with arrows
complementing the ones in the 'grid' package, and more.

articles, a transition plot for showing changes between categories, a method for
variable selection based on the SVD, Bézier lines with arrows complementing the
Imports: grid, grDevices, graphics, lattice, Hmisc, forestplot, abind,
methods, knitr, magrittr, rmarkdown, XML, utils, stats

methods, knitr, magrittr, rmarkdown, XML, utils, stats,

articles, a transition plot for showing changes between categories,
flow charts by extending the grid package, a method for

graphics, knitr, lattice, lubridate, magrittr, methods, rlang,
rmarkdown, stringr, stats, XML, yaml, utils
Suggests: datasets, dplyr, jsonlite, testthat, tidyselect

Description: A system for fitting Gompertz Curve in a Time Series Data.

Title: GoFKernel: Testing Goodness-of-fit with the Kernel Density
Maintainer: Jose M. Pavia <Jose.M.Pavia@uv.es>
Description: Tests of goodness-of-fit based on kernel smoothing of the
Packaged: 2013-04-28 13:50:51 UTC; Jose Manuel

Description: Tests of goodness-of-fit based on kernel smoothing of the data
Packaged: 2014-07-15 18:21:16 UTC; Jose Manuel

Packaged: 2014-08-26 21:39:56 UTC; Jose Manuel

Title: Testing Goodness-of-fit with the Kernel Density Estimator
Packaged: 2014-12-03 19:40:46 UTC; Jose Manuel

Title: Testing Goodness-of-Fit with the Kernel Density Estimator
Description: Tests of goodness-of-fit based on a kernel smoothing of the data.
Packaged: 2015-08-04 11:30:10 UTC; Jose Manuel

Packaged: 2016-01-04 20:52:39 UTC; Jose Manuel

Packaged: 2018-05-26 20:09:05 UTC; Jose Manuel

Title: Goodness-of-Fit Methods for Right-Censored Data
Authors@R: c(person("Klaus", "Langohr", role = c("aut", "cre"),
person("Mireia", "Besalú", role = "aut"),
person("Guadalupe", "Gómez", role = "ctb"))
Description: Graphical tools and goodness-of-fit tests for right-censored data:
1. Kolmogorov-Smirnov, Crámer-von Mises, and Anderson-Darling tests
based on the empirical distribution function for complete data and their
2. Generalized chi-squared-type tests  based on the squared difference between
observed and expected counts using random cells with right-censored data.
3. A series of graphical tools such as probability or cumulative hazard
plots to guide the decision about the parametric model that best
Depends: R (>= 3.5.0), eha, actuar, fitdistrplus
Imports: survival, survsim, grid, ggplot2, gridExtra
Packaged: 2021-08-05 15:50:04 UTC; Lesly Acosta