setinval: Estimating initial values for slapmeg based on seperate lme...
In mitra-ep/slapmeg: Pathway Testing for Longitudinal Omics

setinval

R Documentation

Estimating initial values for slapmeg based on seperate lme models

A seperate lme model is fited per omic in the pathway and the estimates are combined to create initial values for the slapmeg function.

setinval(fixed, random, subject, data)

`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`.