| getDistribution {drimmR} | R Documentation |
Distributions of the drifting Markov Model
Description
Generic function evaluating the distribution of a model x at a given position pos or at every position all.pos
Usage
getDistribution(x, pos, all.pos = FALSE, internal = FALSE, ncpu = 2)
Arguments
x |
An object for which the distributions of the DMM can be computed. |
pos |
A positive integer giving the position along the sequence on which the distribution of the DMM should be computed |
all.pos |
'FALSE' (evaluation at position index) ; 'TRUE' (evaluation for all position indices) |
internal |
'FALSE' (default) ; 'TRUE' (for internal use of the distributions function) |
ncpu |
Default=2. Represents the number of cores used to parallelized computation. If ncpu=-1, then it uses all available cores. |
Details
Distribution at position l is evaluated by \mu_{l} =\mu_0 \prod_{t=k}^{l} \ \pi_{\frac{t}{n}}, \forall l \ge k, k \in N^* order of the DMM
Value
A vector or matrix of distribution probabilities
Author(s)
Alexandre Seiller
References
Barbu VS, Vergne N (2018). “Reliability and survival analysis for drifting Markov models: modelling and estimation.” Methodology and Computing in Applied Probability, 1–33. doi: 10.1007/s11009-018-9682-8, https://doi.org/10.1007/s11009-018-9682-8. Vergne N (2008). “Drifting Markov models with polynomial drift and applications to DNA sequences.” Statistical Applications in Genetics Molecular Biology , 7(1) . doi: 10.2202/1544-6115.1326, https://doi.org/10.2202/1544-6115.1326.