Description Usage Arguments Value
calculate a posterior model but only use likely correspondences
1 2 3 4 5 6 7 8 9 10 11 12 13 | 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)
|
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 |
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) |
a constrained model
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