smSplineEx1: Simulated Data for Smoothing Spline Curve Fitting

In lmeSplines: Add Smoothing Spline Modelling Capability to `nlme`

Simulated Data for Smoothing Spline Curve Fitting

Description

Simulated dataset to demonstrate smoothing spline curve fitting with smspline and lme. The data consists of 100 observations simulated around the curve y = 10 - 6 \exp(-4t/100) with independent normal random errors (standard deviation = 1).

Simulated dataset to demonstrate smoothing spline curve fitting with smspline and lme. The data consists of 100 observations simulated around the curve y = 10 - 6 \exp(-4t/100) with independent normal random errors (standard deviation = 1).

Usage

smSplineEx1

smSplineEx1

Format

A data frame with 100 rows and 3 variables:

time

Time covariate.

y

Simulated response values.

y.true

True response values.

A data frame with 100 rows and 3 variables:

time

Time covariate.

y

Simulated response values.

y.true

True response values.

Source

Generated by Rod Ball for the lmeSplines package.

Examples

data(smSplineEx1)
str(smSplineEx1)

data(smSplineEx1)
str(smSplineEx1)
plot(smSplineEx1$time, smSplineEx1$y, main = "Simulated Data", xlab = "Time", ylab = "y")
lines(smSplineEx1$time, smSplineEx1$y.true, col = "blue")

lmeSplines documentation built on Aug. 31, 2025, 5:08 p.m.