mcpqest: Point and variance estimation for quantiles of independent...

In mratios: Ratios of Coefficients in the General Linear Model

Point and variance estimation for quantiles of independent groups of samples

Description

Computes the pth quantile and variances for groups of given samples in one-way anova layout. It has option for right censored data.

Usage

mcpqest(y, f, event = NULL, 
Right.Censored = FALSE, p = 0.5, ...)

Arguments

y	a numeric vector, the response variable. If Right.Censored = True, y is non-negative follow up time for right censored in survival data.
f	a factor variable of the same length as y, assigning the observations in y into k groups.
event	a binary variable indicating status for right censored data. Usually, 1 if event of interest has occurred (death = 1) and 0 otherwise (alive = 0).
Right.Censored	a logical expression indicating right-censored data is being used for constructing simultaneous confidence interval.
p	a single numeric value between 0 and 1 indicating the level of quantile for the contrasts. The default is p = 0.5 (the median).
...	further arguments to be passed to the internal methods, in particular: bw.selec is a single character string specifying the method of bandwidth selection when using right censored survival data; bw.selec= "plug-in".

Details

Mainly for internal use.

Value

a list with elements:

quantileEST	a numeric vector, the point estimates of quantiles for each factor level.
varEST	a numeric vector, the variance estimates for each factor level.
n	a numeric vector, the sample size of each factor level

Author(s)

Lawrence S. Segbehoe, Gemechis Dilba Djira, Frank Schaarschmidt (package inclusion)

mratios documentation built on April 3, 2025, 6:11 p.m.