dh.lmeMultPoly: Fit multiple mixed effects models containing different...

In lifecycle-project/ds-cs-functions: Helper Functions for Use with 'DataSHIELD'

Fit multiple mixed effects models containing different combination of fractional polynomials

Description

This function enables you to fit multiple models with different combinations of polynomial terms and compares the fit.

Usage

dh.lmeMultPoly(
  df = NULL,
  formulae = NULL,
  poly_names = NULL,
  conns = NULL,
  checks = TRUE
)

Arguments

df	Character specifying a server-side data frame.
formulae	Character vector containing model formulae to fit.
poly_names	Character vector of names for the models specified in formulae
conns	DataSHIELD connections object.
checks	Logical; if TRUE checks are performed prior to running the function. Default is TRUE.

Value

List containing three elements:

• models = List of objects returned by ds.lmerSLMA for each model fitted.

• convergence = Tibble providing information on convergence problems or error for each model fitted.

• fit = Tibble with columns containing negative loglikehood statistic for each cohort and rows for each model fitted. An additional column provides the sum of the loglikelihoods across cohorts.

See Also

Other trajectory functions: dh.makeAgePolys(), dh.makeLmerForm(), dh.predictLmer(), dh.trimPredData(), dh.zByGroup()

lifecycle-project/ds-cs-functions documentation built on Nov. 18, 2024, 3:36 p.m.