col_cors: Correlation across columns
In stephenbates19/digitaltwins: Causal inference for SNPs
Description
Usage
Arguments
Value
Description
Returns correlation of a prediction direction(s) with an observed response(s).
Intended for use as a feature-importance measure for the CRT.
Usage
1
Arguments
preds
Vector of length n OR a matrix of dimension (n x k) giving the logit inverse of the probability
of being one for k different models.
Y
Observed responses, a 0-1 vector of length n or a matrix of dimension (n x k)
genotypes
Whether to interpret the data as genotypes, i.e. summing pairs of rows
of logit_inv gives the total logit inverse for the observation.
Returns:
Value
A vector of length k, the correlations of the columns of Y
stephenbates19/digitaltwins documentation built on Feb. 25, 2020, 12:41 a.m.
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Description Usage Arguments Value
Description
Returns correlation of a prediction direction(s) with an observed response(s). Intended for use as a feature-importance measure for the CRT.
Usage
1 |
Arguments
preds |
Vector of length n OR a matrix of dimension (n x k) giving the logit inverse of the probability of being one for k different models. |
Y |
Observed responses, a 0-1 vector of length n or a matrix of dimension (n x k) |
genotypes |
Whether to interpret the data as genotypes, i.e. summing pairs of rows
of Returns: |
Value
A vector of length k, the correlations of the columns of Y
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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