dh.multGLM: Loop multiple GLM models and handle errors & non-convergence

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

Loop multiple GLM models and handle errors & non-convergence

Description

This function allows you to fit different glm models to different cohorts, for example if you want to include different covariates for different cohorts.

Usage

dh.multGLM(
  df = NULL,
  ref = NULL,
  checks = TRUE,
  conns = NULL,
  vary_df = F,
  family = "gaussian"
)

Arguments

df	Character specifying a server-side data frame.
ref	reference tibble, output from dh.buildModels.
checks	Logical; if TRUE checks are performed prior to running the function. Default is TRUE.
conns	DataSHIELD connections object.
vary_df	Option to provide different df for different models. Default is FALSE.
family	Family to use in glm models. Default is "gaussian".

Value

Tibble containing five columns:

• model = Description of model fit, taken from model_name.

• formula = Formula for this model, taken from formulae.

• cohort = Cohort for which this model was fit, taken from cohort.

• fit = Output from glm model.

• converged = Logical; whether or not the model converged/fit'.

lifecycle-project/ds-helper documentation built on Oct. 27, 2023, 2:08 p.m.