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",
weights = NULL
)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".
- weights
Optional, serverside object containing weights to be used in the model.
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'.