ipwplot

numerical vector of inverse probability weights to plot.

weights

numerical vector representing follow-up time. When specified, boxplots within strata of follow-up time are displayed. When left unspecified, a density plot is displayed.

timevar

numerical value indicating the width of the intervals of follow-up time; for each interval a boxplot is made. Ignored when <code>timevar</code> is not specified.

binwidth

logical value. If <code>TRUE</code>, weights are plotted on a logarithmic scale.

logscale

label for the horizontal axis. When left unspecified, the name of the quantity on the horizontal axis is used.

xlab

label for the vertical axis. When left unspecified, the name of the quantity on the vertical axis is used.

ylab

main

logical value. If <code>TRUE</code>, a reference line is plotted at <code>y=1</code>.

additional arguments passed to <code><a href="/link/boxplot?package=ipw&version=1.0-2" rd-options="" data-mini-rdoc="ipw::boxplot">boxplot</a></code> (when <code>timevar</code> is specified) or <code><a href="/link/plot?package=ipw&version=1.0-2" rd-options="" data-mini-rdoc="ipw::plot">plot</a></code> (when <code>timevar</code> is not specified).

For time varying weights: display boxplots within strata of follow-up time.
For point treatment weights: display density plot.

hplot

Estimate inverse probability weights. These are typically
        used to perform inverse probability weighting (IPW) to fit a
        marginal structural model (MSM), to estimate causal effects
        from observational data. Both data from point treatment
        situations and longitudinal studies can be used.

ipwplot: Plot Inverse Probability Weights

Description

Usage

Arguments

Value

See Also

Examples