Nonordered_Egger: Causal Mediation Analysis with Multiple Causally Ordered...
In hhoulei/PSEMR: Causal Mediation Analysis with Multiple Causally Ordered Mediators
Description
Usage
Arguments
Value
View source: R/PSE_Egger_non-ordered.R
Description
Causal Mediation Analysis with Multiple Causally Ordered Mediators
Usage
1
Nonordered_Egger(betaYG, sebetaYG, betaXG, sebetaXG, betaMG, sebetaMG)
Arguments
betaYG
– a vector, genetic summary statistics for outcome (coefficient)
sebetaYG
– a vector, genetic summary statistics for outcome (standard error)
betaXG
– a vector, genetic summary statistics for exposure (coefficient)
sebetaXG
– a vector,genetic summary statistics for exposure (standard error)
betaMG
– matrix or dataframe with n mediators, genetic summary statistics for mediators (coefficient)
sebetaMG
– matrix or dataframe with n mediators, genetic summary statistics formediators (standard error)
Value
list
hhoulei/PSEMR documentation built on Aug. 27, 2020, 4:59 a.m.
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Description Usage Arguments Value
View source: R/PSE_Egger_non-ordered.R
Description
Causal Mediation Analysis with Multiple Causally Ordered Mediators
Usage
1 | Nonordered_Egger(betaYG, sebetaYG, betaXG, sebetaXG, betaMG, sebetaMG)
|
Arguments
betaYG |
– a vector, genetic summary statistics for outcome (coefficient) |
sebetaYG |
– a vector, genetic summary statistics for outcome (standard error) |
betaXG |
– a vector, genetic summary statistics for exposure (coefficient) |
sebetaXG |
– a vector,genetic summary statistics for exposure (standard error) |
betaMG |
– matrix or dataframe with n mediators, genetic summary statistics for mediators (coefficient) |
sebetaMG |
– matrix or dataframe with n mediators, genetic summary statistics formediators (standard error) |
Value
list
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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