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est_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
.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.