summary.tuts_BFS: Summary of tuts_BFS objects.

Description Usage Arguments Examples

View source: R/a_tubfs.R

Description

summary.tuts_BFS(x,...) prints summaries of tuts_BFS objects.

Usage

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## S3 method for class 'tuts_BFS'
summary(x, ...)

Arguments

x

A tuts_BFS object.

...

A list of optional parameters.burn: burn-in parameter ranging from 0 to 0.7, the default value is 0.CI: confidence interval, default is set to 0.99.

Examples

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# Generate actual and observed time series as a sum of 2 sine functions:
DATA=simtuts(N=50,Harmonics=c(10,30,0), sin.ampl=c(10,10, 0), cos.ampl=c(0,0,0),
trend=0,y.sd=3, ti.sd=1)
y=DATA$observed$y.obs
ti.mu=DATA$observed$ti.obs.tnorm
ti.sd= rep(1, length(ti.mu))

# Run the Bayesian Frequency Selection model with cross validation of the model:
BFS=tubfs(y=y,ti.mu=ti.mu,ti.sd=ti.sd,freqs='internal',n.sim=n.sim,n.chains=2, CV=TRUE)

# Generate summary results:
summary(BFS)                               # Optional parameters: CI, burn.
summary(BFS,burn=0.2)                      # Results after 20% of burn-in.

PeterFranke/tuts documentation built on May 30, 2019, 6:24 a.m.