The outstandR class contains the results from running a
model with the function outstandR().
Details
Objects of class outstandR have the following
- contrasts
A list containing statistics for relative treatment effects:
means: Estimated relative effects (e.g., log-odds ratios, risk differences).variances: Variance-covariance matrix of the relative effects.contrast_ci: Confidence intervals for the relative effects.
- absolute
A list containing statistics for absolute treatment outcomes:
means: Estimated absolute outcomes (e.g., probabilities, mean response).variances: Variance-covariance matrix of the absolute outcomes.ci: Confidence intervals for the absolute outcomes.
- CI
The confidence level used (e.g., 0.95).
- ref_trt
The name of the reference treatment.
- scale
The scale of the outcome (e.g., "log odds", "probability").
- model
A list containing details of the underlying statistical model. Contents vary by strategy:
family: The error distribution and link function.fit: The underlying model object (e.g., for STC, G-Comp ML, or Bayesian G-Comp).weights,ESS: (MAIC only) The estimated weights and Effective Sample Size.stan_args: (Bayesian G-Comp, MIM) Arguments passed to Stan.rho: (G-Comp ML, MIM, Bayesian G-Comp) Correlation coefficient.N: (G-Comp ML, MIM, Bayesian G-Comp) Number of iterations.nu,hats.v,M: (MIM only) Imputation parameters and matrices.