Extract the theta parameter
from a progression model for repeated measures.
Usage
# S3 method for class 'pmrm_fit'
coef(object, ...)Value
For proportional models, a named vector of theta estimates
with one element for each active study arm.
For non-proportional models, a named matrix of theta with one
row for each active study arm and one column for each
post-baseline scheduled visit. Elements, rows, and columns are
named with arm/visit names as appropriate.
Details
See vignette("models", package = "pmrm") for details.
See also
Other estimates:
VarCorr.pmrm_fit(),
pmrm_marginals(),
tidy.pmrm_fit(),
vcov.pmrm_fit()
Examples
set.seed(0L)
simulation <- pmrm_simulate_decline_proportional(
visit_times = seq_len(5L) - 1,
gamma = c(1, 2)
)
fit <- pmrm_model_decline_proportional(
data = simulation,
outcome = "y",
time = "t",
patient = "patient",
visit = "visit",
arm = "arm",
covariates = ~ w_1 + w_2
)
coef(fit)
#> arm_2 arm_3
#> 0.1549676 0.2221882