NEWS.md
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
.