bw and
adjust arguments, passed to
stats::density()simest packageranger required version from 0.16.0 to
0.14.0est_ce(..., type="NP"), resulting in
improved performance.plot_ce(..., density_type="kde edge").SuperLearner package
introduced in version 1.2.0.trim function, which can be used in
conjunction with the plot_ce function to truncate the
display of estimate objects produced by est_ce.
Specifically, estimates with X-coordinates that lie outside specified
quantiles of the observed distribution of the marker are removed. See
package vignette and examples.as_table function, which formats estimate
objects produced using est_ce as a table.plot_ce function:
added background kernel density plotting, changed default plot styling,
fixed a bug that caused CR plots to be displayed instead of CVE plots
when plot_ce(..., which="CVE") was called, and added to the
plotting section of the main package vignette.est_ce, added the option
return_p_value; if set to TRUE, a P-value will
be returned corresponding to the null hypothesis that the CVE curve (or
equivalently, the CR curve in the vaccine group) is constant. If
type='Cox' is specified, this will be a Wald-type test
using the estimated Cox model parameter vector. If
type='NP', this will be a nonparametric test assuming
monotonicity of the curve.load_data.
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