rqfun: rqfun object.

In tnt198785/rqsamplesize: Sample size estimation for quantile regression

Description

Create a rqfun object for power.rq.test.

Usage

  x = rqfun(mu=0, sd=1, dist='norm', term=c('1'), pos=2, method='exact', a =NA,  b=NA)

Arguments

mu	Mean of independent variable under univariate case.
sd	Standard deviation of independent variable under univariate case..
dist	The distribution which takes "norm" as normal and "unif" as uniform.
term	It takes a vector of strings of the form of integers or "log", "sqrt" and "exp" eg. term=c("1","-1","log", "sqrt") indicates there are 4 variables: x,1/x,log(x) and sqrt(x)
pos	The position of the regression coefficient(s) of interest (position of intercept is 1, but it is not important, so 1 is not recommended). Default is 2.
method	"exact" or "sim" which are the methods to compute variance of regression coefficients, "exact" method is recommended when variables are chosen from x,x^2 and x^3.
a	If dist is "unif", this is the lower limit of uniform distribution. It is optional if "mu" and "sd" are already specified.
b	If dist is "unif", this is the upper limit of uniform distribution. It is optional if "mu" and "sd" are already specified.

Examples

    #Construct x
    x = rqfun(mu = 5, sd = 1.5, term = c('1','log','1/sqrt'))
    

tnt198785/rqsamplesize documentation built on May 31, 2019, 4:43 p.m.