ds.rilm.b: Random Intercept Linear Model (RILM)
In datashield/dsBetaTestClient: New DataSHIELD Client Functions
Description
Usage
Arguments
Details
Value
Author(s)
Description
Runs a Random Intercept Linear Model on horizontally-partinioned data
Usage
1
Arguments
...
the explanatory variables, could be factor or numeric vectors
y
the dependent variable
datasources
a list of opal object(s) obtained after login to opal servers;
these objects also hold the data assigned to R, as a dataframe, from opal datasources.
Details
see description
Value
regression outcome
Author(s)
Avraam D; Jones EM; van den Heuvel ER
datashield/dsBetaTestClient documentation built on Nov. 7, 2019, 5:40 p.m.
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Description Usage Arguments Details Value Author(s)
Description
Runs a Random Intercept Linear Model on horizontally-partinioned data
Usage
1 |
Arguments
... |
the explanatory variables, could be factor or numeric vectors |
y |
the dependent variable |
datasources |
a list of opal object(s) obtained after login to opal servers;
these objects also hold the data assigned to R, as a |
Details
see description
Value
regression outcome
Author(s)
Avraam D; Jones EM; van den Heuvel ER
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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