em_iter: EM Iteration
In kjgleason/primo: Package in R for Integrative Multi-Omics association analysis
Description
Usage
Arguments
Value
Description
Complete one iteration of the EM-algorithm (combines E-step and M-step).
Calculate posterior expectations given current estimate for π,the
proportion of observations (e.g. SNPs) coming from each association pattern
(i.e. E-Step). Re-estimate the π vector that maximizes the posterior
expectations (i.e. M-step).
Usage
1
em_iter(old_pi, Dmat)
Arguments
old_pi
vector of association pattern proportions, fit through maximization.
Dmat
matrix of conditional joint densities under each association pattern.
Value
A row vector estimating the proportion of observations coming from each association pattern.
kjgleason/primo documentation built on Sept. 7, 2021, 5:21 p.m.
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Description Usage Arguments Value
Description
Complete one iteration of the EM-algorithm (combines E-step and M-step). Calculate posterior expectations given current estimate for π,the proportion of observations (e.g. SNPs) coming from each association pattern (i.e. E-Step). Re-estimate the π vector that maximizes the posterior expectations (i.e. M-step).
Usage
1 | em_iter(old_pi, Dmat)
|
Arguments
old_pi |
vector of association pattern proportions, fit through maximization. |
Dmat |
matrix of conditional joint densities under each association pattern. |
Value
A row vector estimating the proportion of observations coming from each association pattern.
R Package Documentation
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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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