glmSLMADS1 {dsBase}

R Documentation

Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta-Analysis (SLMA)

Description

Fits a generalized linear model (GLM) on data from single or multiple sources with pooled co-analysis across studies being based on SLMA (Study Level Meta Analysis).

Usage

glmSLMADS1(formula, family, weights, offset, data)

Arguments

formula	a glm formula, specified in call to ds.glmSLMA
family	a glm family, specified in call to ds.glmSLMA
weights	a character string specifying a variable to be used as regression weights. Specified in call to ds.glmSLMA. Specified in call to ds.glmSLMA.
offset	a character string specifying a variable to be used as an offset. Specified in call to ds.glmSLMA.
data	a character string specifying the name of a data.frame holding the data for the model. Specified as dataName in call to ds.glmSLMA.

Details

glmSLMADS.assign is an aggregate function called by clientside function ds.glmSLMA. ds.glmSLMA also calls another aggregate function glmSLMADS2 and an assign function glmSLMADS.assign For more detailed information see help for ds.glmSLMA.

Value

assesses and returns information about failure to pass disclosure traps such as test of model complexity (saturation). For more detailed information see help for ds.glmSLMA.

Author(s)

Paul Burton for DataSHIELD Development Team (14/7/20)

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