set_sherlock_options: Set Options for Causal Segmentation Analysis
In Netflix/sherlock: Causal Machine Learning for Segment Discovery and Analysis
Description
Usage
Arguments
Value
Description
Setter for global options used in causal segmentation analysis
and supporting utilities. Currently supported are global options for the
desired coverage rate of confidence intervals for the CATE and segmentation
effect measures (TSMs, ATEs, HTEs, OTEs) and the critical p-value to be
used when performing hypothesis tests of the CATE for the assignment of a
treatment rule to discovered segments.
Usage
1
set_sherlock_options(option, val)
Arguments
option
A global option of sherlock's routines for causal
segmentation analysis.
val
The value to be assigned to the global option.
Value
None, called for the side effect of setting global options.
Netflix/sherlock documentation built on Dec. 17, 2021, 5:22 a.m.
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Description Usage Arguments Value
Description
Setter for global options used in causal segmentation analysis and supporting utilities. Currently supported are global options for the desired coverage rate of confidence intervals for the CATE and segmentation effect measures (TSMs, ATEs, HTEs, OTEs) and the critical p-value to be used when performing hypothesis tests of the CATE for the assignment of a treatment rule to discovered segments.
Usage
1 | set_sherlock_options(option, val)
|
Arguments
option |
A global option of sherlock's routines for causal segmentation analysis. |
val |
The value to be assigned to the global option. |
Value
None, called for the side effect of setting global options.
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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