Description Usage Arguments Value See Also Examples
Empirical conditional probability density functions, empirical conditional cumulative distribution functions and empirical conditional quantile functions. Refer to the vignette for better examples.
1 2 3 4 5 6 7 8 9 | epdfc (rv, conditions, x,
restack.pdf=sbcpdf, rsp=0.5, bw,
bind=TRUE, w=NA, is.string=FALSE, npoints=30)
ecdfc (rv, conditions, x,
restack.pdf=sbcpdf, rsp=0.5, bw,
bind=TRUE, w=NA, is.string=FALSE, npoints=30)
ecdfc.inverse (rv, conditions, x,
restack.pdf=sbcpdf, rsp=0.5, bw,
bind=TRUE, w=NA, is.string=FALSE, npoints=30)
|
rv |
A name of a random variable. |
conditions |
A named vector of conditions. |
x |
A vector of data points. |
restack.pdf |
A PDF used for restacking. |
rsp |
A restacking parameter. Refer to the vignette. |
bw |
A bandwidth parameter. Refer to the vignette. |
bind |
If true, add an extra two data points. |
w |
A vector of weights. |
is.string |
If true rv is expected to be a character type, otherwise, rv is expected to be an unquoted name of a variable. |
npoints |
Number of synthetic data points. |
These functions return functions.
epdfuv, ecdfuv, ecdfuv.inverse, epdfmv, ecdfmv
1 2 3 4 5 6 |
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