ncs_compute: Non-Conformity Score Computation Function
In pintervals: Model Agnostic Prediction Intervals
ncs_compute R Documentation
Non-Conformity Score Computation Function
Description
Non-Conformity Score Computation Function
Usage
ncs_compute(type, pred, truth, coefs = NULL)
Arguments
type
Type of non-conformity score to compute. Options include 'absolute_error', 'raw_error', 'relative_error', 'za_relative_error', and 'heterogeneous_error'.
pred
a numeric vector of predicted values
truth
a numeric vector of true values
coefs
a numeric vector of coefficients for the heterogeneous error model. Must be of length 2, where the first element is the intercept and the second element is the slope.
pintervals documentation built on March 3, 2026, 5:06 p.m.
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| ncs_compute | R Documentation |
Non-Conformity Score Computation Function
Description
Non-Conformity Score Computation Function
Usage
ncs_compute(type, pred, truth, coefs = NULL)
Arguments
type |
Type of non-conformity score to compute. Options include 'absolute_error', 'raw_error', 'relative_error', 'za_relative_error', and 'heterogeneous_error'. |
pred |
a numeric vector of predicted values |
truth |
a numeric vector of true values |
coefs |
a numeric vector of coefficients for the heterogeneous error model. Must be of length 2, where the first element is the intercept and the second element is the slope. |
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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