trim_rows_after_tmax: Removing not needed rows from observed data (and weights...
In osofr/stremr: Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
View source: R/DataStorageClass.R
Description
Removing not needed rows from observed data (and weights data).
Clean up the DataStorage object by removing all extra rows after certain time-point specified
by tmax. This will also have the effect of removing all the extra weights.
Can be useful when running TMLE with very large data, trimming the extra rows will free up some RAM.
Usage
1
trim_rows_after_tmax(OData, tmax = OData$max.t)
Arguments
OData
Data storage object containing the observed data.
tmax
Time-point value (max tvals in TMLE) after which all rows are removed.
osofr/stremr documentation built on Jan. 25, 2022, 8:07 a.m.
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View source: R/DataStorageClass.R
Description
Removing not needed rows from observed data (and weights data).
Clean up the DataStorage object by removing all extra rows after certain time-point specified
by tmax. This will also have the effect of removing all the extra weights.
Can be useful when running TMLE with very large data, trimming the extra rows will free up some RAM.
Usage
1 | trim_rows_after_tmax(OData, tmax = OData$max.t)
|
Arguments
OData |
Data storage object containing the observed data. |
tmax |
Time-point value (max |
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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