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Plot cost-effectiveness acceptability curves.

plot_ceac.Rd

This function calculates the probabilities that each strategy is the most cost effective.

Usage

plot_ceac(df, wtp)

Arguments

df

a dataframe.

wtp

character Name of variable of the dataframe containing the willingness-to-pay thresholds at which the probability of cost effectiveness have been defined.

Value

A ggplot graph.

Examples

# Plot CEAC based on results from calculate_ceac()
data("df_pa")
m_res_ceac <- calculate_ceac(df_pa,
                             e_int = "t_qaly_d_int",
                             e_comp = "t_qaly_d_comp",
                             c_int = "t_costs_d_int",
                             c_comp = "t_costs_d_comp")
df_ceac_p <- as.data.frame(m_res_ceac)

plot_ceac(df = df_ceac_p,
          v_wtp = "WTP_threshold")
#> Error in plot_ceac(df = df_ceac_p, v_wtp = "WTP_threshold"): unused argument (v_wtp = "WTP_threshold")