dssLM: Aggregate linear models into a single one for the estimation...
In sib-swiss/dsSwissKnifeClient: DataSHIELD Tools and Utilities - client side

dssLM

R Documentation

Aggregate linear models into a single one for the estimation of beta.

Description

Takes as input multiple results from 'linregDSS' to make a single linear model, as if individuals from the multiple sources were pooled together before modeling.

Usage

dssLM(
  what,
  dep_var,
  expl_vars = NULL,
  async = TRUE,
  datasources = NULL,
  type = "combine"
)

Arguments

`what:`	dataframe name.
`dep_var:`	[string] the column name for the dependent variable (y).
`expl_vars:`	[vector of strings] the column names for the explanatory variables.
`type:`	[string] if 'split', return a list of the individual models of each datasource, if 'combine' return the global model. If TRUE, merge them into a single model (default).