Return tidy parameter summaries of a progression model for repeated measures (PMRM).
Usage
# S3 method for class 'pmrm_fit'
tidy(x, ...)Value
A tidy tibble with one row for each treatment effect
model parameter (theta) and columns with the parameter name
(study arm and/or visit it corresponds to), estimate,
and standard error. This format aligns with the tidy()
method of similar fitted models in R.
See also
Other estimates:
VarCorr.pmrm_fit(),
coef.pmrm_fit(),
pmrm_marginals(),
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
)
tidy(fit)
#> # A tibble: 2 × 3
#> term estimate std.error
#> <chr> <dbl> <dbl>
#> 1 arm_2 0.155 0.0540
#> 2 arm_3 0.222 0.0526