lmerSLMADS.assign {dsBase}R Documentation

Fitting linear mixed effect models - serverside function

Description

lmerSLMADS.assing is the same as lmerSLMADS2 which fits a linear mixed effects model (lme) per study and saves the outcomes in each study

Usage

lmerSLMADS.assign(
  formula,
  offset,
  weights,
  dataName,
  REML = TRUE,
  control_type,
  control_value.transmit,
  optimizer,
  verbose = 0
)

Arguments

formula

see help for ds.lmerSLMA

offset

see help for ds.lmerSLMA

weights

see help for ds.lmerSLMA

dataName

see help for ds.lmerSLMA

REML

see help for ds.lmerSLMA

control_type

see help for ds.lmerSLMA

control_value.transmit

see help for argument <control_value> for function ds.lmerSLMA

optimizer

see help for ds.lmerSLMA

verbose

see help for ds.lmerSLMA

Details

lmerSLMADS.assign is a serverside function called by ds.lmerSLMA on the clientside. The analytic work engine is the lmer function in R which sits in the lme4 package. lmerSLMADS.assign fits a linear mixed effects model (lme) including both fixed and random effects - on data from each single data source and saves the regression outcomes on the serveside.

Value

writes lmerMod object summarising the fitted model to the serverside. For more detailed information see help for ds.lmerSLMA.

Author(s)

TDemetris Avraam for DataSHIELD Development Team


[Package dsBase version 6.1.1 ]