profilevglm

Investigates the profile log-likelihood function for a fitted model of
 class <code>"vglm"</code>.

models

regression

An implementation of about 6 major classes of
statistical regression models. The central algorithm is
Fisher scoring and iterative reweighted least squares.
At the heart of this package are the vector generalized linear
and additive model (VGLM/VGAM) classes. VGLMs can be loosely
thought of as multivariate GLMs. VGAMs are data-driven
VGLMs that use smoothing. 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 the package. Currently only
fixed-effects models are implemented. Many (100+) models and
distributions are estimated by maximum likelihood estimation
(MLE) or penalized MLE. 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). Hauck-Donner effect detection is implemented.
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

Cleve Moler

profilevglm function

<dl> <dt>object</dt>
<dd>the original fitted model object.</dd> <dt>which</dt>
<dd>the original model parameters which should be profiled.
 This can be a numeric or character vector.
 By default, all parameters are profiled.
</dd> <dt>alpha</dt>
<dd>highest significance level allowed for the
 profiling.</dd>
 <dt>maxsteps</dt>
<dd>maximum number of points to be used for profiling each
 parameter.</dd>
 <dt>del</dt>
<dd>suggested change on the scale of the profile
 t-statistics. Default value chosen to allow profiling at about
 10 parameter values.</dd>
 <dt>trace</dt>
<dd>logical: should the progress of profiling be reported?
 The default is to use the <code>trace</code> value from the fitted
 object; see <code>vglm.control</code> for details.</dd>

 <dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

T. W. Yee adapted this function from
 <code><a href="/link/profile.glm?package=VGAM&version=1.1-8" data-mini-rdoc="VGAM::profile.glm">profile.glm</a></code>,
 written originally by D. M. Bates and W. N. Venables.
 (For S in 1996.)
 The help file was also used as a template.

Author

Investigates the profile log-likelihood function for a fitted model of
 class <code>"vglm"</code>.

Method for Profiling vglm Objects — profilevglm

<dl>

 <dt>object</dt>
<dd>the original fitted model object.</dd>

 <dt>which</dt>
<dd>the original model parameters which should be profiled.
 This can be a numeric or character vector.
 By default, all parameters are profiled.
</dd>

 <dt>alpha</dt>
<dd>highest significance level allowed for the
 profiling.


</dd>

 <dt>maxsteps</dt>
<dd>maximum number of points to be used for profiling each
 parameter.</dd>


 <dt>del</dt>
<dd>suggested change on the scale of the profile
 t-statistics. Default value chosen to allow profiling at about
 10 parameter values.</dd>


 <dt>trace</dt>
<dd>logical: should the progress of profiling be reported?
 The default is to use the <code>trace</code> value from the fitted
 object; see <code>vglm.control</code> for details.


</dd>


 <dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

T. W. Yee adapted this function from
 <code><a href='https://rdrr.io/pkg/MASS/man/profile.glm.html'>profile.glm</a></code>,
 written originally by D. M. Bates and W. N. Venables.
 (For S in 1996.)
 The help file was also used as a template.

profilevglm: Method for Profiling vglm Objects

Description

Usage

Value

Arguments

Author

Details

See Also

Examples