sim_one_group: Simulate longitudinal data with monotone missingness for one...

In Merck/mmrm: Mixed model repeated measures and its extension

Description

Generate longitudinal data with monotone missingness

Usage

sim_one_group(
  n,
  k,
  P,
  sigma,
  beta,
  pi = NULL,
  pi_par = NULL,
  trt = 1,
  missing_type,
  distribution,
  outlier = "none"
)

Arguments

n	sample size
k	dimension of the covariates
P	the number of time point
sigma	Covariance matrix for the longitudinal response
beta	regression coefficient for the baseline covariates
pi	Observed probability for each missing pattern under MCAR
pi_par	Parameters for the missing mechanism model under MAR
trt	name of the treatment
missing_type	Type of missing. Available: MCAR, MAR, MNAR
distribution	Underlying multivariate distribution for the longitudinal responses
outlier	The types of outlier may exists. Available: none, Type 1, Type 2

Value

a list including a wide-form data frame and a long-form data frame

• db_combWide form of the original longitudinal data

• db_longLong form of the original longitudinal data

• db_comb0Wide form of the change from baseline longitudinal data

• db_long0Long form of the change from baseline longitudinal data

Merck/mmrm documentation built on Dec. 17, 2021, 4:12 a.m.