This guide shows a minimal call to
run_scd_analysis().
Data
Use one row per observation, with columns for case, time, phase, and outcome. The following data are simulated.
library(scdbayes)
data <- simulate_scd_data(n_cases = 3, n_phase_a = 5, n_phase_b = 5,
effect_size = 1)
head(data[, c("case", "time", "phase", "outcome")], 4)
#> case time phase outcome
#> 1 C1 1 A 55.20589
#> 2 C1 2 A 39.20309
#> 3 C1 3 A 51.39238
#> 4 C1 4 A 49.15251Fit a model
result <- run_scd_analysis(data, options = list(family = "gaussian"))
result$diagnosticsModel fitting requires Stan and can take time. The result contains
the fitted model, summaries, and diagnostics. Inspect diagnostics before
interpreting results. See ?run_scd_analysis for
arguments.
