Estep: The E-step in the EM algorithm
In JingXieMIZZOU/hmmASE: Detection of Differentially Allelic Expressed Regions (DAERs) by a Bayesian Hidden Markov Model
Description
Usage
Arguments
Value
Description
A function to compute the expectation of the logarithm of complete likelihood w.r.t the conditional distribution of hidden status given the observed data and parameters.
Usage
1
Arguments
obs
A S by 5 dataframe returned by data.trans function where S is total number of SNPs.
par
A list contains the current estimates of parameters.
Value
A list contains the following elements:
e.loglikThe expectation of log-likelihood.
P.ksa S by 9 matrix contains P(S_s=k|O,θ)
P.klsa S by 81 matrix contains P(S_s=k,S_(s+1)=l|O,θ)
JingXieMIZZOU/hmmASE documentation built on Dec. 31, 2019, 12:52 a.m.
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Description Usage Arguments Value
Description
A function to compute the expectation of the logarithm of complete likelihood w.r.t the conditional distribution of hidden status given the observed data and parameters.
Usage
1 |
Arguments
obs |
A S by 5 |
par |
A |
Value
A list contains the following elements:
e.loglikThe expectation of log-likelihood.
P.ksa S by 9 matrix contains P(S_s=k|O,θ)
P.klsa S by 81 matrix contains P(S_s=k,S_(s+1)=l|O,θ)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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