Description Usage Arguments Details Value Author(s) See Also Examples
This is the main analysis function for the sequential importance sampling approach to probabilistic damage tolerance analysis in the crackR package. User can enter an object of class crackRparameters or class crackR. If a crackRparameters object is entered, crackRinit will be run to initialize a crackR object. The sample size for an existing crackR object can be increased by utilizing an existing crackR object and specifying add=TRUE.
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obj |
Object of class Sing, Mult, CD, or an appropriate list of input parameters |
add |
Logical, indicating whether this run will add trials to an existing run |
If add=TRUE, the number of particles specified in the input object parameter Np will be added to the existing particle count and the results will be weighted according to the existing particle count. The new set of results, containing only the results of the subset run, will be included in a new component of the output: 'new.results'. The cumulative results will as before be contained in component 'results'. Note, if the input object was already initialized using crackRinit, it's class will be either Sing, Mult, or CD. If an uninitialized list of crackR parameters is submitted, this function will attempt to initialize it.
state |
List containing vectors representing the final state of each particle |
parameters |
List of the analysis parameters (not altered by the running of analyze |
results |
List of the results of a single run (where add=FALSE) or of a cumulative set of runs (when add=TRUE) |
new.results |
List of the results for the latest run in a cumulative set of runs (when add=TRUE) |
Keith Halbert <keith.a.halbert@gmail.com>
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