pairsetinval {SlaPMEG}

Estimating initial values for paired slapmeg based on seperate lme models

Description

A seperate lme model is fited per omic in the pathway and the estimates are combined based on the indexes of pairs to create initial values for the pairslapmeg function.

Usage

pairsetinval(index, fixed, random, subject, data)

Arguments

index

Indexes of pairs used for replacing the parameters in the jopint model

fixed

A two-sided linear formula object for specifying the fixed-effects in the linear mixed model at the latent process level. Names of omics in the pathway are separated by + on the left of ~ and the covariates are separated by + on the right of the ~. For identifiability purposes, the intercept should always be present in the model.

random

A one-sided formula for the random-effects in the latent process mixed model and starts with the ~ sign. At least one random effect should be included. Covariates with a random-effect are separated by +.

subject

name of the covariate representing the repeated measures structure such as subject IDs.

data

data frame containing the variables named in fixed, random, grouping and subject.

Value

A list of vectors, each including vector of initial values corresponding to pairs based on the index file. These vectors will be used as input for multlcmm function of each paired model.

Author(s)

Mitra Ebrahimpoor [e-mail]