e_step: E-step
In kjgleason/primo: Package in R for Integrative Multi-Omics association analysis
Description
Usage
Arguments
Value
Description
Calculate posterior expectations given maximized estimate for π, the
proportion of observations (e.g. SNPs) coming from each association pattern.
Usage
1
e_step(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 matrix estimating the posterior expectations
(i.e. estimated proportion of observations belonging to each association pattern).
kjgleason/primo documentation built on Sept. 7, 2021, 5:21 p.m.
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Description Usage Arguments Value
Description
Calculate posterior expectations given maximized estimate for π, the proportion of observations (e.g. SNPs) coming from each association pattern.
Usage
1 | e_step(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 matrix estimating the posterior expectations (i.e. estimated proportion of observations belonging to each association pattern).
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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