pcsstools: approx_mult_prod – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

approx_mult_prod

Approximate the covariance of a set of predictors and a product of responses

Description

approx_mult_prod recursively estimates the covariances and means of a set of responses. Estimates are approximated using all unique response orderings and aggregated.

Usage

approx_mult_prod(
  means,
  covs,
  n,
  response,
  predictors,
  responses,
  verbose = FALSE
)

Arguments

`means`	a vector of predictor and response means with all response means at the end of the vector.
`covs`	covariance matrix of all predictors and responses with column and row order corresponding to the order of `means`.
`n`	sample size (an integer).
`response`	a string. Currently supports `"binary"` or `"continuous"`.
`predictors, responses`	lists of objects of class `predictor` where each entry corresponds to one predictor/response variable.
`verbose`	logical.

Value

A list containing the following elements:

`means`	a vector of the (approximated) means of all predictors and the product of responses
`covs`	a matrix of (approximated) covariances between all predictors and the product of responses

References

Wolf JM, Westra J, Tintle N (2021). “Using summary statistics to evaluate the genetic architecture of multiplicative combinations of initially analyzed phenotypes with a flexible choice of covariates.” bioRxiv. doi: 10.1101/2021.03.08.433979, https://www.biorxiv.org/content/10.1101/2021.03.08.433979v1.

pcsstools

Tools for Regression Using Pre-Computed Summary Statistics

v0.1.1

GPL (>= 3)

Authors

Jack Wolf [aut, cre, cph] (<https://orcid.org/0000-0002-8919-8740>), R Core Team and contributors worldwide [cph, aut] (Author and copyright holder of modified 'stats' fragments)

Initial release