estimate_effect_size: estimate_effect_size
In fineiskid/scdlintrend: Effect Size Estimation in SCD Studies with Linear Trends

Description Usage Arguments Value Examples

calculate d, the estimated effect size when rho and phi are KNOWN.

1	estimate_effect_size(data, k, rho, phi)

`data`	data.frame containing case, time, treatment, phase, and outcome columns
`k`	number of complete sub-phase cycles, as in (AB)^k
`rho`	(tau^2)/(tau^2 + sigma^2)
`phi`	first-order autocorrelation parameter

d, the estimate of the effect size, delta_R

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beta_matrix <- matrix(rep(c(1:8), 3), byrow = T, nrow = 3)
sim_data <- simulate_ABk(m = 3, n = 20, k = 2, min_Ni = 10, outcome = T, beta_matrix = beta_matrix)
d <- estimate_effect_size(sim_data, 2, 0.5, 0.2)