statismoConstrainModelSafe: calculate a posterior model but only use likely...

Description Usage Arguments Value

Description

calculate a posterior model but only use likely correspondences

Usage

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statismoConstrainModelSafe(model, sample, pt, ptValueNoise, sdmax = 5)

## S4 method for signature 'pPCA,matrix,numeric'
statismoConstrainModelSafe(model, sample, pt,
  ptValueNoise, sdmax = 5)

## S4 method for signature 'pPCA,matrix,matrix'
statismoConstrainModelSafe(model, sample, pt,
  ptValueNoise, sdmax = 5)

## S4 method for signature 'pPCA,numeric,numeric'
statismoConstrainModelSafe(model, sample, pt,
  ptValueNoise, sdmax = 5)

Arguments

model

object of class pPCA

sample

matrix containing coordinates to constrain model to

pt

either a k x 3 matrix with each row containing points on the model's domain corresponding to the row in sample or an integer vector specifying the coordinates of the sample's mean corresponding to sample

ptValueNoise

numeric: specify noise on constraints.

sdmax

a measure in standard deviations to allow the likelihood of the correspondeces between sample and model. (using chi-square distribution)

Value

a constrained model


zarquon42b/RvtkStatismo documentation built on May 4, 2019, 9:09 p.m.