roy_parm_basis: Get the basis matrix for the Royston/Parmar-spline...
In jwdink/survbayes: Tools for bayesian survival-regression, with Stan and MAP
Description
Usage
Arguments
Value
Description
Get the basis matrix for the Royston/Parmar-spline parameterization
Usage
1
roy_parm_basis(x, all_log_knots, scaling_factor)
Arguments
x
Log-time,
all_log_knots
Knots, including boundary knots, on the scale of log(time)
scaling_factor
A constant which gammas > 1 will be divided by, so that coefficients are on
similar scales; helpful for optimization/MCMC
Value
The basis matrix
jwdink/survbayes documentation built on May 4, 2019, 4:23 p.m.
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Description Usage Arguments Value
Description
Get the basis matrix for the Royston/Parmar-spline parameterization
Usage
1 | roy_parm_basis(x, all_log_knots, scaling_factor)
|
Arguments
x |
Log-time, |
all_log_knots |
Knots, including boundary knots, on the scale of log(time) |
scaling_factor |
A constant which gammas > 1 will be divided by, so that coefficients are on similar scales; helpful for optimization/MCMC |
Value
The basis matrix
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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