getcmat: A matrix of point process configurations in p-dimensional...
In monoreg: Bayesian Monotonic Regression Using a Marked Point Process Construction
getcmat R Documentation
A matrix of point process configurations in p-dimensional covariate space
Description
This function returns a matrix where the rows correspond to each possible
point process specification in p-dimensional covariate space; this may be
helpful in specifying the argument settozero in the functions monoreg and monosurv.
Usage
getcmat(p)
Arguments
p
Number of covariate axes.
Value
A zero-one matrix with 2^p - 1 rows and p columns.
Author(s)
Olli Saarela <olli.saarela@utoronto.ca>
monoreg documentation built on April 30, 2023, 5:12 p.m.
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| getcmat | R Documentation |
A matrix of point process configurations in p-dimensional covariate space
Description
This function returns a matrix where the rows correspond to each possible
point process specification in p-dimensional covariate space; this may be
helpful in specifying the argument settozero in the functions monoreg and monosurv.
Usage
getcmat(p)
Arguments
p |
Number of covariate axes. |
Value
A zero-one matrix with 2^p - 1 rows and p columns.
Author(s)
Olli Saarela <olli.saarela@utoronto.ca>
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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