double.hinge {chngpt} | R Documentation |
Fit Double Hinge Models
Description
Fit double hinge models.
Usage
double.hinge(x, y, lower.y = NULL, upper.y = NULL,
var.type = c("none", "bootstrap"), ci.bootstrap.size =
1000, alpha = 0.05, save.boot = TRUE, ncpus = 1,
boot.ci.type=c("percentile","symmetric"))
## S3 method for class 'double.hinge'
plot(x, which = NULL, xlim = NULL,
lwd = 2, lcol = "red",
lty = 1, add.points = TRUE, add.ci = TRUE, breaks =
20, mark.chngpt = FALSE, xlab = NULL, ylab = NULL,
...)
## S3 method for class 'double.hinge'
fitted(object, ...)
## S3 method for class 'double.hinge'
residuals(object, ...)
Arguments
object |
x |
x |
x |
y |
y |
lower.y |
lower.y |
upper.y |
upper.y |
var.type |
var.type |
boot.ci.type |
var.type |
ci.bootstrap.size |
ci.bootstrap.size |
alpha |
alpha |
save.boot |
save.boot |
ncpus |
ncpus |
lcol |
ncpus |
lwd |
ncpus |
which |
x |
xlim |
x |
lty |
x |
add.points |
x |
add.ci |
x |
breaks |
x |
mark.chngpt |
x |
xlab |
x |
ylab |
x |
... |
arguments passed along |
Details
If lower.y and upper.y are not supplied, min(y) is taken as the function value when x is less than or equal to the first threshold, and max(y) is taken as the function value when x is greater than or equal to the second threshold.
If the function is expected to be decreasing between the two thresholds, lower.y and upper.y should be supplied to ensure the correct fit.
mse is residual sum of squares
[Package chngpt version 2023.11-29 Index]