OverallRiskSummaries {bkmr}R Documentation

Calculate overall risk summaries

Description

Compare estimated h function when all predictors are at a particular quantile to when all are at a second fixed quantile

Usage

OverallRiskSummaries(fit, y = NULL, Z = NULL, X = NULL, qs = seq(0.25,
  0.75, by = 0.05), q.fixed = 0.5, method = "approx", sel = NULL)

Arguments

fit

An object containing the results returned by a the kmbayes function

y

a vector of outcome data of length n.

Z

an n-by-M matrix of predictor variables to be included in the h function. Each row represents an observation and each column represents an predictor.

X

an n-by-K matrix of covariate data where each row represents an observation and each column represents a covariate. Should not contain an intercept column.

qs

vector of quantiles at which to calculate the overall risk summary

q.fixed

a second quantile at which to compare the estimated h function

method

method for obtaining posterior summaries at a vector of new points. Options are "approx" and "exact"; defaults to "approx", which is faster particularly for large datasets; see details

sel

selects which iterations of the MCMC sampler to use for inference; see details

Details

For guided examples and additional information, go to https://jenfb.github.io/bkmr/overview.html


[Package bkmr version 0.2.0 Index]