Description Usage Arguments Details Value See Also

Unfolding the (joint) distribution of planar parameters

1 |

`sp` |
section profiles |

`nclass` |
number of classes |

`maxIt` |
maximum number of EM iterations |

`nCores` |
number of cpu cores used |

`...` |
optional arguments passed to |

This is a S3 method for either trivariate stereological unfolding or
estimation of 3d diameter distribution of spheres (Wicksell's corpuscle problem). The function
aggregates all intermediate calculation steps required for the unfolding procedure given the data
in the prescribed format and returning the parameters as count data in histogram form.
The section profiles object `sp`

, see `sectionProfiles`

, is either of class
`prolate`

or `oblate`

for the reconstruction of spheroids or in case of spheres
the `sp`

is simply a numeric vector of circle diameters. Here, the class of section profiles
corresponds to the type of objects that will be reconstructed. The number of bin classes is set
by the argument `nclass`

which is either a scalar value in case of Wicksell's corpuscle problem
or a vector of length three defined in the order of the number of size, angle and shape class limits.
Using multiple cpu cores during the calculations is controlled by either setting the option 'par.unfoldr'
to a user chosen amount of cores or by the argument `nCores`

directly.
The return value of the function is an object of class `unfold`

whose arguments are as follows

N_A (trivariate) histogram of section profile parameters

N_V (trivariate) histogram of reconstructed parameters

P array of coefficients

breaks list of class limits for binning the parameter values

object of class `unfold`

unfoldr documentation built on Nov. 17, 2017, 7:37 a.m.

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