findSIMQ: Find quantiles of the simulated data using Rcpp

In nlmeVPC: Visual Model Checking for Nonlinear Mixed Effect Model

Find quantiles of the simulated data using Rcpp

Description

Find quantiles of the simulated data using Rcpp

Usage

findSIMQ(SIM,
        X,
        Xbin,
        probs,
        confLevel,
        approx)

Arguments

SIM	A matrix of simulated data with only Y values collected.
X	A numeric vector corresponding to Y
Xbin	Binning result from makeCOVbin function
probs	A numeric vector of probabilities
confLevel	Confidence level of the interval.
approx	Arguments to be passed to methods

Value

quantiles of SIM using xbin

Examples

data(origdata)
data(simdata)
CUT = FindBestCut(origdata$TIME,8)$cutoffs
time_bin = makeCOVbin(origdata$TIME,K=8,cutoffs = CUT)
findSIMQ(simdata,origdata$TIME,Xbin=time_bin,probs=c(0.1,0.5,0.9),
confLevel=0.95,approx=FALSE)

nlmeVPC documentation built on Dec. 28, 2022, 2:49 a.m.