Mqrcm-internal: Internal Functions

In Mqrcm: M-Quantile Regression Coefficients Modeling

Description

Functions for internal use only, or not yet documented.

Usage

check.in(mf, formula.p, s, plim)
check.out(theta, S, covar)
start.theta(y,x, weights, bfun, df, yy, s)
iMqr.internal(mf,cl, formula.p, tol = 1e-6, maxit, s, psi, plim)
cov.theta(fit, y,X,Xw, weights, bfun, psi, s, sigma)
iobjfun(theta, y,X,Xw,weights, bfun, psi, sigma, u, H = FALSE, i = FALSE)
sortH(H)
isigma(theta, y,X,weights,bfun,psi)
iMqr.newton(theta, y,X,Xw, weights, bfun,psi, s,sigma, 
                        tol, maxit, safeit, eps0)

num.fun(dx,fx, op = c("int", "der"))
make.bfun(p, x)
apply_bfun(bfun, p, fun = c("bfun", "b1fun"))
p.bisec(theta, y, X, bfun, n.it = 20)
slp.basis(k, intercept)
is.slp(f)

iqr.waldtest(obj)
extract.p(model, p, cov = FALSE)
pred.beta(model, p, se = FALSE)

## S3 method for class 'iMqr'
print(x, digits = max(3L, getOption("digits") - 3L), ...)
## S3 method for class 'summary.iMqr'
print(x, digits = max(3L, getOption("digits") - 3L), ...)
## S3 method for class 'iMqr'
terms(x, ...)
## S3 method for class 'iMqr'
model.matrix(object, ...)
## S3 method for class 'iMqr'
vcov(object, ...)
## S3 method for class 'iMqr'
nobs(object, ...)

Mqrcm documentation built on Feb. 2, 2021, 9:06 a.m.