flexPM-internal: Internal Functions

In flexPM: Flexible Parametric Models for Censored and Truncated Data

Description

Functions for internal use only.

Usage

BS(x, df, knots, degree, Boundary.knots = range(x), deriv = 0)
flexPM.newton(start, f, tol = 1e-05, maxit = 200, ...)
L.estimator(z,y,d,x,weights, df,degree,knots, theta, maxit = 100, tol = 1e-6, type)
L.loglik(theta, Bz, By, B1y, x, d, d1, dd, weights, notrunc, deriv = 2)
L.wloglik(theta, Bz, By, B1y, x, d, d1, dd, weights, notrunc, deriv = 2)
L.loglik.cens(theta, Bz, By, B1y, x, d, d1, dd, weights, notrunc, deriv = 2)
L.wloglik.cens(theta, Bz, By, B1y, x, d, d1, dd, weights, notrunc, deriv = 2)
L.loglik.cens.trunc(theta, Bz, By, B1y, x, d, d1, dd, weights, notrunc, deriv = 2)
L.wloglik.cens.trunc(theta, Bz, By, B1y, x, d, d1, dd, weights, notrunc, deriv = 2)
## S3 method for class 'flexPM'
print(x, ...)
## S3 method for class 'flexPM'
summary(object, ...)
## S3 method for class 'flexPM'
print.summary(x, ...)
## S3 method for class 'flexPM'
nobs(object, ...)
## S3 method for class 'flexPM'
logLik(object, ...)

flexPM documentation built on May 2, 2019, 10:17 a.m.