function_group_warp_bayes {fdasrvf} | R Documentation |
Bayesian Group Warping
Description
This function aligns a set of functions using Bayesian SRSF framework
Usage
function_group_warp_bayes(
f,
time,
iter = 50000,
powera = 1,
times = 5,
tau = ceiling(times * 0.04),
gp = seq(dim(f)[2]),
showplot = TRUE
)
Arguments
f |
matrix ( |
time |
sample points of functions |
iter |
number of iterations (default = 150000) |
powera |
Dirichlet prior parameter (default 1) |
times |
factor of length of subsample points to look at (default = 5) |
tau |
standard deviation of Normal prior for increment (default ceil(times*.4)) |
gp |
number of colors in plots (defaults |
showplot |
shows plots of functions (default = T) |
Value
Returns a list containing
f0 |
original functions |
f_q |
f aligned quotient space |
gam_q |
warping functions quotient space |
f_a |
f aligned ambient space |
gam_a |
warping ambient space |
qmn |
mean srsf |
References
Cheng, W., Dryden, I. L., and Huang, X. (2016). Bayesian registration of functions and curves. Bayesian Analysis, 11(2), 447-475.
Examples
## Not run:
out <- function_group_warp_bayes(simu_data$f, simu_data$time)
## End(Not run)
[Package fdasrvf version 2.3.1 Index]