Version 1.0.0
This is a major release, adding methods for linear/quadratic discriminant analysis and improving package documentation
- Added
predict_discrim()as a wrapper toMASS::predict.lda()returning a data.frame - Added
plot_discrim()to plot decision regions for discriminant analysis using contours or background tiles - Added
cor_lda()to calculate structure correlations between variables and discriminant scores - Added
scores.lda()method to extract discriminant scores - Added
reflect()generic to allow axis reversal for candisc and cancor objects - Improved documentation of a number of functions
- Added additional plots to dataset documentation
- Now use
Roxygen: list(markdown = TRUE)in DESCRIPTION - Ran
roxygen2md(scope = "simple")for first pass of roxygen conversion to markdown, others converted by hand
Version 0.9.1
-
heplot.candisc()gains avar.labelsargument - add extra/mmreg.R example
- add
scores.candisc()method to extract canonical discriminant scores - added
cerealdataset - added
PsyAcaddataset
Version 0.9.0 (2024-05-05)
CRAN release: 2024-05-06
This is a semi-major release, largely of the documentation of the package.
- Created
pkgdownsite, https://friendly.github.io/candisc/ - Convert documentation to roxygen
- Extend description of candisc/cancor methods
- Added
diabetesvignette giving more discursive examples
Version 0.8-5 (2020-12-15)
CRAN release: 2021-01-22
- Fix CRAN nits re conditional use of rgl in examples
Version 0.8-3 (2020-04-20)
CRAN release: 2020-04-22
o dontrun/donttest more examples from heplot.candisc to appease the CRAN daemon.
Version 0.8-2 (2020-01-06)
o Clarify docs for plot.candisc wrt col & pch (thx: Mohammad Bahram) o candisc gets a hex sticker on GitHub o Fix notes from devtools::check_win_devel
Version 0.8-1 (2017-10-05)
o Fixed bug in plot.candisc with default col and pch values (thx: David Carlson)
Version 0.8-0 (2017-09-16)
CRAN release: 2017-09-19
o Fix 1D plot.candisc to better reflect the canonical structure coefficients. The ylim of the scale is now forced to include 0 and -1 and/or +1 depending on the signs of the structure coefficients. [thx: Martina Vandebroek] o Pass … to boxplot() and plot() for 1D in plot.candisc o Added diabetes vignette
Version 0.7-2 (2016-11-09)
CRAN release: 2016-11-11
o Add Wilks.candisc method; this corrects a bug where the values of the stepdown tests for canonical discriminant analysis were calculated incorrectly [thx: Martina Vandebroek] o Now use Wilks.candisc in print.candisc
Version 0.7-1 (2016-05-23)
o respect var.lwd in 2D plot.candisc() o heplot.candisc() gets a rev.axes argument to reverse the axes and a var.pos argument to position variable labels o vectors() now produces nicer arrow head a la matlib::vectors() o added var.pos argument to plot.candisc o allow to suppress likelihood ratio tests in print.candisc
Version 0.7-0 (2016-04-25)
CRAN release: 2016-04-27
o Added Wine data – three cultivars with a very simple canonical structure o Added ellipses to plot.candisc(); enhanced candisc.Rd documentation o Added varOrder() for effect ordering in MLMs o plot.candisc() gets a var.labels argument o added method=“colmean” and descending=T/F to varOrder() o plot.candisc() gets a rev.axes argument o fixed imports() in NAMESPACE for CRAN checks
Version 0.6-7 (2015-04-15)
CRAN release: 2015-04-19
o Now use rgl:: in *3d functions and requireNamespace(“rgl”) o import(car)
Version 0.6-1 (2013-1-23)
CRAN release: 2013-01-30
o Continued development of methods and plots for canonical correlation analysis within the
HE plot framework:
o Now export scores() and scores.cancor() method
o coef.cancor gets a standardize= argument
o Added redundancy() for redundancy analysis
o Added a plot.cancor() method, visualizing the relations between the Ycan and Xcan variable scores
o Added vectors3d()
o Added heplot3d() method for cancor objects.
o More significantly, re-implemented cancor() as an S3 generic, with a cancor.formula method and
the original as the cancor.default method.