ThresholdClumpedRule
Threshold clumped variants rule
Description
ThresholdClumpedRule resolves one polygenius.model output for algorithm ClumpingThresholding.
Details
Reactive rule for the clumping+thresholding model output.
Execution logic:
-
requests GWAS input at required
pval.max; -
binds to clumped-variant resources after GWAS build is known;
-
applies the final
pvalthreshold to clumped variants; -
returns a
PolyGeniusModel.
Super class
PolyGenius::Rule -> ThresholdClumpedRule
Methods
Public methods
Inherited methods
Method new()
Create the threshold-clumped rule.
Usage
ThresholdClumpedRule$new()
Method matches()
Check whether this rule can produce the requested output.
Usage
ThresholdClumpedRule$matches(output.spec)
Arguments
-
output.spec -
Output resource specification.
Returns
TRUE for ClumpingThresholding model outputs.
Method inputs()
Build input specifications for this output.
Usage
ThresholdClumpedRule$inputs(output.spec)
Arguments
-
output.spec -
Output resource specification.
Returns
Named list with gwas and deferred clumped input.
Method bind()
Bind derived clumped input once GWAS build is known.
Usage
ThresholdClumpedRule$bind(inputs, store, output.spec = NULL)
Arguments
-
inputs -
Named list of input specifications.
-
store -
Resource store.
-
output.spec -
Output resource specification.
Returns
Updated named list of inputs.
Method requirements()
Declare resource requirements for this rule.
Usage
ThresholdClumpedRule$requirements(output.spec, inputs)
Arguments
-
output.spec -
Output resource specification.
-
inputs -
Bound input values/specifications.
Returns
Named list with cores and memory.
Method run()
Execute clumping-thresholding model construction.
Usage
ThresholdClumpedRule$run(output.spec, inputs, logger)
Arguments
-
output.spec -
Output resource specification.
-
inputs -
Named list of bound input values.
-
logger -
Rule logger.
Returns
Rule result list with data, meta, and logs.
Method clone()
The objects of this class are cloneable with this method.
Usage
ThresholdClumpedRule$clone(deep = FALSE)
Arguments
-
deep -
Whether to make a deep clone.