get_mmrm_lsmeans: Extract Least Square Means from 'MMRM'

In tern.mmrm: Tables and Graphs for Mixed Models for Repeated Measures (MMRM)

Extract Least Square Means from MMRM

Description

Extracts the least square means from an MMRM fit.

Usage

get_mmrm_lsmeans(fit, vars, conf_level, weights, averages = list())

Arguments

fit	(mmrm) result of mmrm::mmrm().
vars	(named list of string or character) specifying the variables in the MMRM. The following elements need to be included as character vectors and match corresponding columns in data: response: the response variable. covariates: the additional covariate terms (might also include interactions). id: the subject ID variable. arm: the treatment group variable (factor). visit: the visit variable (factor). weights: optional weights variable (if NULL or omitted then no weights will be used). Note that the main effects and interaction of arm and visit are by default included in the model.
conf_level	(proportion) confidence level of the interval.
weights	(string) type of weights to be used for the least square means, see emmeans::emmeans() for details.
averages	(list) named list of visit levels which should be averaged and reported along side the single visits.

Value

A list with data frames estimates and contrasts. The attributes averages and weights save the settings used.

tern.mmrm documentation built on Sept. 30, 2024, 9:20 a.m.