default.knots: Compute default knots for a given x vector
In AdaptFitOS: Adaptive Semiparametric Additive Regression with Simultaneous Confidence Bands and Specification Tests
View source: R/default.knots.r
default.knots R Documentation
Compute default knots for a given x vector
Description
Computes default knots for a given x vector.
Usage
default.knots(x, num.knots, knotchoice="quantiles")
Arguments
x
The covariate. Note that for B-splines, only the range of x is considered.
num.knots
The number of knots. Defaults to floor(n/max(4, floor(n/35)) - 1).
knotchoice
Either "equidistant" or "quantiles" for equidistant and quantile based knots, respectively. Note that in case of B-splines, knots are always equidistant.
AdaptFitOS documentation built on July 21, 2022, 5:10 p.m.
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View source: R/default.knots.r
| default.knots | R Documentation |
Compute default knots for a given x vector
Description
Computes default knots for a given x vector.
Usage
default.knots(x, num.knots, knotchoice="quantiles")
Arguments
x |
The covariate. Note that for B-splines, only the range of |
num.knots |
The number of knots. Defaults to |
knotchoice |
Either "equidistant" or "quantiles" for equidistant and quantile based knots, respectively. Note that in case of B-splines, knots are always equidistant. |
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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