function_mean_bayes: Bayesian Karcher Mean Calculation

In fdasrvf: Elastic Functional Data Analysis

Bayesian Karcher Mean Calculation

Description

This function calculates karcher mean of functions using Bayesian method

Usage

function_mean_bayes(f, time, times = 5, group = 1:dim(f)[2], showplot = TRUE)

Arguments

f	matrix (N x M) of M functions with N samples
time	sample points of functions
times	factor of length of subsample points to look at (default = 5)
group	(defaults 1:dim(f)[2])
showplot	shows plots of functions (default = T)

Value

Returns a list containing

distfamily	dist matrix
match.matrix	matrix of warping functions
position	position
mu_5	function mean
rtmatrix	rtmatrix
sumdist	sumdist
qt.fitted	aligned srsf functions
estimator	estimator
estimator2	estimator2
regfuncs	registered functions

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_mean_bayes(simu_data$f, simu_data$time)

## End(Not run)

fdasrvf documentation built on Oct. 5, 2024, 1:08 a.m.