NLL {flexrsurv} | R Documentation |
Non Log-Linear effect
Description
Generate the spline basis matrix for non log-linear effect.
Usage
NLL(x,
Spline = c("b-spline", "tp-spline", "tpi-spline"),
Knots = NULL,
Degree = 3,
Intercept = FALSE,
Boundary.knots = range(x),
Keep.duplicates = TRUE,
outer.ok = TRUE,
...)
Arguments
x |
the predictor variable. |
Spline |
a character string specifying the type of spline basis. "b-spline" for B-spline basis, "tp-spline" for truncated power basis and "tpi-spline" for monotone (increasing) truncated power basis. |
Knots |
the internal breakpoints that define the spline used to estimate the NLL effect. By default there are none. |
Degree |
degree of splines which are considered. |
Intercept |
a logical value indicating whether intercept/first basis of spline should be considered. |
Boundary.knots |
range of variable which is analysed. |
Keep.duplicates |
Should duplicate interior knots be kept or removed. Defaults is |
outer.ok |
logical indicating how are managed |
... |
not used |
Details
NLL
is based on package orthogonalsplinebasis