lmerSLMADS.assign {dsBase} | R Documentation |
lmerSLMADS.assing is the same as lmerSLMADS2 which fits a linear mixed effects model (lme) per study and saves the outcomes in each study
lmerSLMADS.assign( formula, offset, weights, dataName, REML = TRUE, control_type, control_value.transmit, optimizer, verbose = 0 )
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 |
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.
writes lmerMod object summarising the fitted model to the serverside. For more detailed information see help for ds.lmerSLMA.
TDemetris Avraam for DataSHIELD Development Team