iptw objectsThis function produces a collection of diagnostic plots for iptw objects.
# S3 method for iptw
plot(
x,
plots = "optimize",
subset = NULL,
color = TRUE,
timePeriods = NULL,
multiPage = FALSE,
figureRows = NULL,
hline = c(0.1, 0.5, 0.8),
...
)An iptw object.
An indicator of which type of plot is desired. The options are
"optimize" or 1 A plot of the balance criteria as a function of the GBM
iteration.
"boxplot" or 2 Boxplots of the propensity scores for the treatment and
control cases
"es" or 3 Plots of the standardized effect size of the pre-treatment
variables before and after reweighing
"t" or 4 Plots of the p-values from t-statistics comparing means of
treated and control subjects for pretreatment variables, before and after
weighting.
"ks" or 5 Plots of the p-values from Kolmogorov-Smirnov statistics
comparing distributions of pretreatment variables of treated and control
subjects, before and after weighting.
Used to restrict which of the stop.methods will be used
in the figure. For example subset = c(1,3) would indicate that the
first and third stop.methods (in alphabetical order of those specified
in the original call to iptw) should be included in the figure.
If color = FALSE, figures will be gray scale. Default: TRUE.
The number of distinct time points. If NULL, this is assumed to be the number
of ps objects (i.e., the number of distinct time points).
When multiple frames of a figure are produced, multiPage = TRUE will print each
frame on a different page. This is intended for situations where the graphical output is being
saved to a file. Default: FALSE.
The figure rows, passed to displayPlots. Default: NULL.
Arguments passed to panel.abline.
Additional arguments.
This function produces lattice-style graphics of diagnostic plots.
Dan McCaffrey, G. Ridgeway, Andrew Morral (2004). "Propensity Score Estimation with Boosted Regression for Evaluating Adolescent Substance Abuse Treatment", Psychological Methods 9(4):403-425.
iptw