An S7 class for storing MMRM analysis results.
Usage
MMRMResult(
model = NULL,
coefficients = integer(0),
se = integer(0),
ci = NULL,
p_values = integer(0),
df = integer(0),
sigma = integer(0),
log_likelihood = integer(0),
aic = integer(0),
bic = integer(0),
covariance = "unstructured",
df_adjustment = "Kenward-Roger",
n_obs = integer(0),
n_subjects = integer(0),
metadata = list()
)Arguments
- model
The mmrm model object
- coefficients
Named numeric vector of model coefficients
- se
Standard errors for coefficients
- ci
Matrix of confidence intervals (2 columns: lower, upper)
- p_values
P-values for coefficients
- df
Degrees of freedom for coefficients
- sigma
Residual standard error
- log_likelihood
Log-likelihood value
- aic
Akaike Information Criterion
- bic
Bayesian Information Criterion
- covariance
Covariance structure used
- df_adjustment
Degrees of freedom adjustment method
- n_obs
Number of observations
- n_subjects
Number of subjects
- metadata
List of additional metadata