gen.curves: Simulate multiple curve data from a given model (either...

In shimlab/HMTree: Hidden Markov tree prior for analysis of multiple functional data

Description

Simulate multiple curve data from a given model (either Normal or Poisson).

Usage

gen.curves(curve.str, curve.length, stretch, offset, model.mode, num.groups,
  num.samples, normal.sigma)

Arguments

curve.str	curve type for true signal; used in the function simulate_true_curve.
curve.length	length of curve data
stretch	parameter used to generate true signal; used in the function simulate_true_curve.
offset	parameter used to generate true signal; used in the function simulate_true_curve.
model.mode	either Normal or Poisson; this function simulates num.samples number of curve data under a model provided as model.mode.
num.groups	how many groups of samples should be simulated; currently this function can simulate data from one group.
num.samples	how many curve data should be simulated.
normal.sigma	standard deviation in Normal model;

Value

gen.curves returns a list of the following elements

true.mean.curve	a vector of length curve.length-vector; it contains true mean curve generated by the function simulate_true_curve
data	a matrix of num.samples by curve.length; it contains num.samples curve data; each row contains simulated data under a given model model.mode with mean curve true.mean.curve

shimlab/HMTree documentation built on May 29, 2019, 9:25 p.m.