spfda_simulate: Generates toy example data
In spfda: Function-on-Scalar Regression with Group-Bridge Penalty
spfda_simulate R Documentation
Generates toy example data
Description
Synthesized functional signals with heterogeneous error. The
underlying three coefficients correspond to 'dense', 'global sparse', and
'local sparse' functions. See \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/biom.13684")} for
detailed configurations.
Usage
spfda_simulate(n = 1000, n_timepoints = 100, err = 1, scale = c(1, 1, 1))
Arguments
n
Total number of observations
n_timepoints
Total number of time points
err
Error magnitude
scale
the scale of coefficients length of 1 or 3.
Value
A list of data generated: X is scalar predictor, Y is
functional response.
spfda documentation built on June 8, 2025, 11:35 a.m.
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| spfda_simulate | R Documentation |
Generates toy example data
Description
Synthesized functional signals with heterogeneous error. The underlying three coefficients correspond to 'dense', 'global sparse', and 'local sparse' functions. See \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/biom.13684")} for detailed configurations.
Usage
spfda_simulate(n = 1000, n_timepoints = 100, err = 1, scale = c(1, 1, 1))
Arguments
n |
Total number of observations |
n_timepoints |
Total number of time points |
err |
Error magnitude |
scale |
the scale of coefficients length of 1 or 3. |
Value
A list of data generated: X is scalar predictor, Y is
functional response.
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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