qrcmNP-internal: Internal Functions

In qrcmNP: Nonlinear and Penalized Quantile Regression Coefficients Modeling

Internal Functions

Description

Functions for internal use only, or not yet documented.

Usage

Q(beta, X)
funQ1(X)
check.fun(obj, b)
boot(fun, fun2, X, y, start_theta, true_theta, p, seed, boot=FALSE, R=100, ...)
predBeta(obj, p)
grad3(fun, fun2, x, p, X, npp, q, h = 1e-04, method = c("1", "2", "3"))
grad2(fun, x, p, n.var, q, s, ind, h = 1e-04, method = c("1", "2", "3"))
num.int(x, dx, fx)
integr(fun, a=.01, b=.99, n=100, p0, h, ...)
bisec(fun, fun2, x, X, y, nit=15, n=NULL)
Bfun(fun, fun2, x, p.star.y, xx, dx, npp, q, X, n.var, p0,
     s = NULL, ind = NULL, hh, a = 0.01, b = 0.99, n = 100,
     fun_prime_theta=NULL, fun_prime_beta=NULL, ...)
bfun(fun, fun2, x, p.star.y, xx, dx, npp, q, X, p0, hh, a = 0.01, b = 0.99, n = 100)
funGrad(fun, fun2, x, y, X, i = FALSE, p.star.y, xx = NULL, dx = NULL, npp = NULL,
        p0 = NULL, s = NULL, ind = NULL, h = NULL, n = NULL, q = NULL, n.var = NULL,
        h1 = 0.01, method = c("1", "2", "3"), fun_prime_theta=NULL, fun_prime_beta=NULL)
Fun(fun, fun2, x, y, X, q, n, p0, npp)
armijo(x0, d, dtg, t0, f0, fun, fun2, alpha, beta, X, y, xx, dx, p0, h, n, npp, q)
start.theta.niqr(fun, fun2, x0, X, y, control=list())

piqr.internal(mf, cl, formula.p, tol=1e-6, maxit=100, s,
              segno=1, lambda=0, check=FALSE, A, st.theta=FALSE, theta0)
check.in.2(mf, formula.p, s)
check.out.2(theta, S, covar)
piqr.newton(theta, y,z,d,X,Xw, bfun, s, type, tol=1e-6, maxit=100, safeit, eps0,
            segno=1, lambda=0)
piqr.ee(theta, y, z, d, X, Xw, bfun, p.star.y, p.star.z, J=TRUE, G,
        i=FALSE, segno=1, lambda=0)
pciqr.ee(theta, y, z, d, X, Xw, bfun, p.star.y, p.star.z, J = TRUE, G,
         i = FALSE, segno=1, lambda=0)
pctiqr.ee(theta, y, z, d, X, Xw, bfun, p.star.y, p.star.z, J = TRUE, G,
          i = FALSE, segno=1, lambda=0)
plotCoef(beta, norm, lambda, df, dev, grad, label=FALSE,
          xvar=c("norm", "lambda", "objective", "grad"),
          xlab=iname, ylab="Coefficients", ...)
nonzeroCoef(beta, bystep=FALSE)
cov.theta.2(theta, y,z,d,X,Xw, weights, bfun,
            p.star.y, p.star.z, type, s, segno=1, lambda=0)
plotPiqr2(x, lambda, conf.int=TRUE, polygon=TRUE, which=NULL, ask=TRUE, ...)
divide.et.impera.2(fit, V, bfun, s, type, tol, maxit, safeit, eps0, segno = 1, lambda = 0)

## S3 method for class 'niqr'
print(x, digits=max(3L, getOption("digits") - 3L), ...)
## S3 method for class 'summary.niqr'
print(x, digits = max(3L, getOption("digits") - 3L), ...)
## S3 method for class 'piqr'
print(x, digits=max(3L, getOption("digits") - 3L), ...)
## S3 method for class 'summary.piqr'
print(x, digits = max(3L, getOption("digits") - 3L), ...)
## S3 method for class 'piqr'
terms(x, ...)
## S3 method for class 'piqr'
coef(object, pos.lambda, ...)
## S3 method for class 'piqr'
model.matrix(object, ...)
## S3 method for class 'piqr'
nobs(object, ...)

qrcmNP documentation built on May 29, 2024, 8:29 a.m.