Description Usage Arguments Value Examples
Plot of the effect size contours
1 |
prep |
Input from prep_for_plots |
col |
If user wants color (a heat map layered with contours) or black and white (contours only). Specify the heat map with "color" or black and white "bw". |
a list of class gg and ggplot
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | data(sud)
sud = data.frame(sud[sample(1:nrow(sud),100),])
sud$treat = ifelse(sud$treat == "A", 1, 0)
sud$wts = sample(seq(1, 10, by=.01), size=nrow(sud), replace = TRUE)
outcome_mod = outcome_model(data = sud,
weights = "wts",
treatment = "treat",
outcome = "eps7p_6",
model_covariates = c("sfs8p_0", "eps7p_0",
"ada_0"),
estimand = "ATE")
ovtool_results = ov_sim(model_results=outcome_mod,
plot_covariates=c("sfs8p_0", "ada_0"),
es_grid = 0,
rho_grid = 0,
n_reps = 2,
progress=FALSE)
prep = prep_for_plots(ovtool_results, p_contours=.05)
plot = es_plot(prep = prep)
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