pcoriaccel_NW_basic: Runs a _basic_ implementation of the "NW" function with the...
In SensIAT: Sensitivity Analysis for Irregular Assessment Times
pcoriaccel_NW_basic R Documentation
Runs a basic implementation of the "NW" function with the "K2_Biweight" kernel, just as a
proof-of-concept.
Description
Runs a basic implementation of the "NW" function with the "K2_Biweight" kernel, just as a
proof-of-concept.
Usage
pcoriaccel_NW_basic(Xb, Y, xb, y_seq, h)
Arguments
Xb
a vector (expected to be about 500 elements)
Y
a vector (same size as Xb)
xb
a vector
y_seq
a vector
h
a scalar, the bandwidth of kernel
Value
A matrix of the same size as xb by y_seq.
SensIAT documentation built on Sept. 9, 2025, 5:50 p.m.
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| pcoriaccel_NW_basic | R Documentation |
Runs a basic implementation of the "NW" function with the "K2_Biweight" kernel, just as a proof-of-concept.
Description
Runs a basic implementation of the "NW" function with the "K2_Biweight" kernel, just as a proof-of-concept.
Usage
pcoriaccel_NW_basic(Xb, Y, xb, y_seq, h)
Arguments
Xb |
a vector (expected to be about 500 elements) |
Y |
a vector (same size as |
xb |
a vector |
y_seq |
a vector |
h |
a scalar, the bandwidth of kernel |
Value
A matrix of the same size as xb by y_seq.
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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