MonoMat: Matrix of derivative coefficients for local polynomial...
In sharpData: Data Sharpening
Description
Usage
Arguments
Value
Author(s)
Description
This computes a matrix of coefficients of
the first derivatives of monotonic local linear sharpening problem.
Usage
1
MonoMat(xgrid, x, h, d)
Arguments
xgrid
numeric vector of locations where monotonicity constraint is to be enforced
x
numeric explanatory vector
h
numeric bandwidth
d
local polynomial degree, can be either 0 or 1
Value
a list containing the A matrix and the number of rows in A.
Author(s)
W.J. Braun
sharpData documentation built on March 30, 2021, 9:06 a.m.
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Description Usage Arguments Value Author(s)
Description
This computes a matrix of coefficients of the first derivatives of monotonic local linear sharpening problem.
Usage
1 | MonoMat(xgrid, x, h, d)
|
Arguments
xgrid |
numeric vector of locations where monotonicity constraint is to be enforced |
x |
numeric explanatory vector |
h |
numeric bandwidth |
d |
local polynomial degree, can be either 0 or 1 |
Value
a list containing the A matrix and the number of rows in A.
Author(s)
W.J. Braun
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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