outstandR (version 1.0.0)

outstandR-class: outstandR class

Description

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.