PlotSpilloverCRTpower: Plot power analysis of conditional randomization test
In aihuman: Experimental Evaluation of Algorithm-Assisted Human Decision-Making
PlotSpilloverCRTpower R Documentation
Plot power analysis of conditional randomization test
Description
See Figure S9 for example.
Usage
PlotSpilloverCRTpower(res)
Arguments
res
A data.frame generated with SpilloverCRTpower.
Value
A ggplot
Examples
data(synth)
data(hearingdate_synth)
crt_power <- SpilloverCRTpower(
D = synth$D, Z = synth$Z,
CourtEvent_HearingDate = hearingdate_synth,
size = 1
) # adjust the size
PlotSpilloverCRTpower(crt_power)
aihuman documentation built on April 12, 2025, 1:47 a.m.
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| PlotSpilloverCRTpower | R Documentation |
Plot power analysis of conditional randomization test
Description
See Figure S9 for example.
Usage
PlotSpilloverCRTpower(res)
Arguments
res |
A |
Value
A ggplot
Examples
data(synth)
data(hearingdate_synth)
crt_power <- SpilloverCRTpower(
D = synth$D, Z = synth$Z,
CourtEvent_HearingDate = hearingdate_synth,
size = 1
) # adjust the size
PlotSpilloverCRTpower(crt_power)
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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