validate.report: LMS quantile regression stats on test data
In lmsqreg: LMS (Cole-Green Stat in Med 1992 quantile regression)
Description
Usage
Arguments
Value
Description
report on fit of quantile regression model to arbitrary data
Usage
1
validate.report(qreg, y.val, t.val, rule=2, xcuts=quantile(t.val, c(0.2, 0.4, 0.6, 0.8)))
Arguments
qreg
an lmsqreg.fit object
y.val
values of dependent variable
t.val
values of independent variable
rule
interpolation rule parameter
xcuts
levels of independent variable within which
goodness of fit should be assessed
Value
prints out goodness of fit appraisal for data (y,t)
which were presumably not used in the fit that produced qreg.
lmsqreg documentation built on May 2, 2019, 6:47 p.m.
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Description Usage Arguments Value
Description
report on fit of quantile regression model to arbitrary data
Usage
1 | validate.report(qreg, y.val, t.val, rule=2, xcuts=quantile(t.val, c(0.2, 0.4, 0.6, 0.8)))
|
Arguments
qreg |
an lmsqreg.fit object |
y.val |
values of dependent variable |
t.val |
values of independent variable |
rule |
interpolation rule parameter |
xcuts |
levels of independent variable within which goodness of fit should be assessed |
Value
prints out goodness of fit appraisal for data (y,t) which were presumably not used in the fit that produced qreg.
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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