mv_subset: Perform multivariable MR on subset of features

View source: R/multivariable_mr.R

mv_subsetR Documentation

Perform multivariable MR on subset of features

Description

The function proceeds as follows:

  1. Select features (by default this is done using LASSO feature selection).

  2. Subset the mvdat to only retain relevant features and instruments.

  3. Perform MVMR on remaining data.

Usage

mv_subset(
  mvdat,
  features = mv_lasso_feature_selection(mvdat),
  intercept = FALSE,
  instrument_specific = FALSE,
  pval_threshold = 5e-08,
  plots = FALSE
)

Arguments

mvdat

Output from mv_harmonise_data().

features

Dataframe of features to retain, must have column with name 'exposure' that has list of exposures to retain from mvdat. The default is mvdat_lasso_feature_selection(mvdat).

intercept

Should the intercept by estimated (TRUE) or force line through the origin (FALSE, the default).

instrument_specific

Should the estimate for each exposure be obtained by using all instruments from all exposures (FALSE, default) or by using only the instruments specific to each exposure (TRUE).

pval_threshold

P-value threshold to include instruments. The default is 5e-8.

plots

Create plots? The default is FALSE.

Value

List of results


MRCIEU/TwoSampleMR documentation built on Sept. 28, 2024, 6:51 p.m.