cdf.lmscreg

A VGAM quantile regression model, i.e.,
 an object produced by modelling functions such as <code><a rd-options="" href="/link/vglm?package=VGAM&version=1.0-4" data-mini-rdoc="VGAM::vglm">vglm</a></code>
 and <code><a rd-options="" href="/link/vgam?package=VGAM&version=1.0-4" data-mini-rdoc="VGAM::vgam">vgam</a></code> with a family function beginning with
 <code>"lms."</code>.

object

Data frame where the predictions are
 to be made. If missing, the original data is used.

newdata

Parameters which are passed into functions such as
 <code>cdf.lms.yjn</code>.

&#8230;

Computes the cumulative distribution function (CDF) for observations,
 based on a LMS quantile regression.

models

regression

An implementation of about 6 major classes of
statistical regression models. At the heart of it are the
vector generalized linear and additive model (VGLM/VGAM)
classes, and the book "Vector Generalized Linear and
Additive Models: With an Implementation in R" (Yee, 2015)
<DOI:10.1007/978-1-4939-2818-7>
gives details of the statistical framework and VGAM package.
Currently only fixed-effects models are implemented,
i.e., no random-effects models. Many (150+) models and
distributions are estimated by maximum likelihood estimation
(MLE) or penalized MLE, using Fisher scoring. VGLMs can be
loosely thought of as multivariate GLMs. VGAMs are data-driven
VGLMs (i.e., with smoothing). The other classes are RR-VGLMs
(reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs,
RCIMs (row-column interaction models)---these classes perform
constrained and unconstrained quadratic ordination (CQO/UQO)
models in ecology, as well as constrained additive ordination
(CAO). Note that these functions are subject to change;
see the NEWS and ChangeLog files for latest changes.

Thomas Yee

VGAM

Vector Generalized Linear and Additive Models

cdf.lmscreg function

A VGAM quantile regression model, i.e.,
 an object produced by modelling functions such as <code><a rd-options='' href='vglm'>vglm</a></code>
 and <code><a rd-options='' href='vgam'>vgam</a></code> with a family function beginning with
 <code>"lms."</code>.

Data frame where the predictions are
 to be made. If missing, the original data is used.

Parameters which are passed into functions such as
 <code>cdf.lms.yjn</code>.

cdf.lmscreg: Cumulative Distribution Function for LMS Quantile Regression

Description

Usage

Arguments

Value

Details

References

See Also

Examples