figure_4_mr_clust: MR-Clust mixture model fitting
In cnfoley/Sun-et-al-2021-protein-coding-variants-in-human-disease: Computing and predicting gains in power owing to allelic heterogenity between population cohorts
Description
Usage
Arguments
Value
View source: R/mr_clust_code.R
Description
Assessment of clustered heterogeneity in Mendelian randomization analyses
using expectation-maximisation (EM) based model fitting of the MR-Clust
mixture model. Function output includes both data-tables and a visualisation
of the assingment of variants to clusters.
Usage
1
figure_4_mr_clust(figure_4_panel = "a")
Arguments
figure_4_panel
Figure 4 panel to replicate - default is figure panel "a", i.e., Figure 4a.
Value
Returned are: estimates of the putative number of clusters in the
sample, complete with allocation probabilities and summaries of the
association estimates for each variant; plots which visualise the allocation
of variants to clusters and; several summaries of the fitting process, i.e.
the BIC and likelihood estimates.
cnfoley/Sun-et-al-2021-protein-coding-variants-in-human-disease documentation built on Dec. 19, 2021, 5:19 p.m.
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Description Usage Arguments Value
View source: R/mr_clust_code.R
Description
Assessment of clustered heterogeneity in Mendelian randomization analyses using expectation-maximisation (EM) based model fitting of the MR-Clust mixture model. Function output includes both data-tables and a visualisation of the assingment of variants to clusters.
Usage
1 | figure_4_mr_clust(figure_4_panel = "a")
|
Arguments
figure_4_panel |
Figure 4 panel to replicate - default is figure panel "a", i.e., Figure 4a. |
Value
Returned are: estimates of the putative number of clusters in the sample, complete with allocation probabilities and summaries of the association estimates for each variant; plots which visualise the allocation of variants to clusters and; several summaries of the fitting process, i.e. the BIC and likelihood estimates.
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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