Displaying 2 results from an estimated 2 matches for "sbgrps".
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2016 Oct 10
0
aVirtualTwins available on CRAN
...UE,
ntree = 500)
# Second step : find rules in data
vt.trees <- vt.tree(tree.type = "class",
vt.difft = vt.for,
threshold = quantile(vt.for$difft, seq(.5,.8,.1)),
maxdepth = 2)
# Print results
vt.sbgrps <- vt.subgroups(vt.trees)
knitr::kable(vt.sbgrps)
```
Subgroup Subgroup size Treatement event rate Control event rate Treatment sample size Control sample size RR (resub) RR (snd)
------ ---------------------------- -------------- -------------------...
2016 Oct 10
0
aVirtualTwins available on CRAN
...UE,
ntree = 500)
# Second step : find rules in data
vt.trees <- vt.tree(tree.type = "class",
vt.difft = vt.for,
threshold = quantile(vt.for$difft, seq(.5,.8,.1)),
maxdepth = 2)
# Print results
vt.sbgrps <- vt.subgroups(vt.trees)
knitr::kable(vt.sbgrps)
```
Subgroup Subgroup size Treatement event rate Control event rate Treatment sample size Control sample size RR (resub) RR (snd)
------ ---------------------------- -------------- -------------------...