NEWS.md
log
option added to curve_gen()
to exponentiate the coefficients.
title
fully added to ggcurve()
curve_gen()
now includes options to adjust CIs and P-values for multiple comparisons.curve_gen()
can now accept inputs from the rms
package’s ols()
function.
lm
option that is typically used.curve_rev()
for continuous variables due to instability.lme4
.curve_table()
to produce outputs from the functions.curve_rev()
was fixed where for the default measure, the computations were calculated as if measure was set to ratio.
curve_rev()
can now take summary statistics such as the point estimate and it’s standard error to back calculate the function.
curve_boot()
now takes an option allowing users to specify the number of cores to be used.ggcurve()
and plot_compare()
now have the options to customize the second y-axis and also change the color of the outline of the functions.
yaxis
has been replaced by yaxis1
and yaxis2
.plot_compare()
color has been replaced by color1
and color2
curve_meta()
can now handle complex data structures from metafor
with clustered data.curve_gen()
can now handle ANOVAs and robust linear regressions from the MASS
package.concurve
is now intergrated with the cowplot
package for easier graphing.tibble::tibble()
integration due to breakage in code.expand_scale()
has been replaced with expansion()
within the inner workings of ggcurve()
and plot_compare()
due to the former function (expand_scale()
) being deprecated.curve_lmer()
for mixed-effects modelscurve_meta()
could not utilize rma.mh()
or rma.peto()
from metafor
.curve_boot()
can utilize parametric Bca bootstrap methods to compute functions.curve_boot()
tables was incorrect.curve_meta()
tables was incorrect.R
to 3.5.0.install.packages("concurve", dep = TRUE)
as solution to installation problems for some individuals.MASS
, compiler
, and Rlang
from DESCRIPTION
IMPORTS
, since these weren’t used.ggcurve()
theme has been changed from theme_bw()
to theme_minimal()
.ggconcurve()
is now ggcurve()
.ggcurve()
plots confidence (consonance) distributions, densities, likelihood, and deviance functions.plot_curve()
is now deprecated. Please use ggcurve()
instead.curve_compare()
compares two functions and calculates the area between the curve.plot_compare()
allows two separate functions to be plotted and compared simultaneously.curve_table()
produces publication-ready tables of relevant statistics.curve_boot()
uses bootstrapping to approximate the consonance functions via the boot
and bcaboot
packages.curve_lik()
produces likelihood functions by transforming the objects from the ProfileLikelihood
package.ggconcurve()
now plots both the P-values and CI level using both y-axes when the type = “consonance”. Previously, this was only possible via plot_concurve()
(which uses base R graphics) because ggplot2
had a bug in its last few versions, which inhibited proper transformations in the y-axis.plot_concurve()
now has “measure” as an item which allows for ratio measures to be logarithmically scaled on the x axis. There are two options, “default”, which is set as the default option and is for mean differences, and “ratio”, which will result in the axis being logarithmically scaled.plot_concurve()
also now has a “fill” option which will allow users to choose the color of the plot.plotpint()
function which plotted consonance functions has been repackaged into ggconcurve()
.plotsint()
function which plotted surprisal functions has been repackaged into ggconcurve()
.plot_concurve()
function.ggconcurve()
.ggconcurve()
function to show how much of the interval surrounds it.mclapply()
function from the parallel package.corrintervals()
function.rev_eng()
function.plotpint()
or plotsint()
function now able to take custom titles, subtitles, x-axis titles, and captions.Stata
.