RVsdold: Estimating equation approach to the proportion of the...

In hychen-uic/TEV: Total Explained Variation

Estimating equation approach to the proportion of the explained variation with supplementary covariate data

Description

This function computes: (1). the proportion of the explained variation (2). The explained variation adjusting for the correlation in covariates with possible suplementary data

Usage

RVsdold(
  y,
  x,
  xsup = NULL,
  lam = 1,
  niter = 1,
  alpha = c(0.05),
  KV = rep(0, 3),
  know = "no",
  nrep = 1000
)

Arguments

y	outcome: a vector of length n.
x	covariates: a matrix of nxp dimension.
xsup	supplementary covariates: a matrix of Nxp dimension. when xsup=NULL and n>p, it performs least-square with the simulation variance estimate
lam	parameter for altering the weighting matrix.
niter	number of iterations for updating lam.
alpha	a vector of type I errors used to generate (1-alpha)confidence intervals.
KV	a matrix with 3 rows and 100 collums corresponding to different lambda values. the first component of the row vector KV=kappa_1, the second=kappa_2, the third=kappa_3
know	if KV is known, options include "yes" and "no". Default is "no".
nrep	Monte Carlo sample size for computinging KV.

Details

The estimation approach does not assume independent covariates and can deal with the case n\le p. But require the sample sizes of x and X combined be greater than p.

Value

Estimate of the proportion of explained variation, variance estimates under normality and non-normality assumptions, and confidence intervals under normality and non-normality assumptions.

References

Chen, H. Y., Li, H., Argos, M., Persky, V. W., and Turyk, M. (2022). Statistical Methods for Assessing Explained Variation of a Health Outcome by Mixture of Exposures. International Journal of Environmental Research and Public Health.

Chen H. Y, Zhang, B. and Pan, G.(2023).Estimation and inference on explained variation with possible supplementary data, Manuscript.

Examples

## Not run: RVsd(y,x,xsup,lam=0.1,niter=3,alpha=c(0.1,0.05,0.01),KV=rep(0,3),know="no",nrep=1000)

hychen-uic/TEV documentation built on Jan. 24, 2025, 9:14 p.m.