Maximum likelihood estimation of the two parameters of a
 univariate normal distribution when the observations are upper
 record values.

rec.normal

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, doubly constrained
RR-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

rec.normal function

Upper Record Values from a Univariate Normal Distribution — rec.normal

<dl>

 <dt>lmean, lsd</dt>
<dd>Link functions applied to the mean and sd parameters.
 See <code>Links</code> for more choices.

</dd>

 <dt>imean, isd</dt>
<dd>Numeric. Optional initial values for the mean and sd.
 The default value <code>NULL</code> means they are
 computed internally,
 with the help of <code>imethod</code>.

</dd>

 <dt>imethod</dt>
<dd>Integer, either 1 or 2 or 3. Initial method,
 three algorithms are
 implemented. Choose the another value if
 convergence fails, or use
 <code>imean</code> and/or <code>isd</code>.

</dd>

 <dt>zero</dt>
<dd>Can be an integer vector, containing the value 1 or 2.
 If so, the mean or
 standard deviation respectively are modelled as an
 intercept only.
 Usually, setting <code>zero = 2</code> will be used, if used at all.
 The default value <code>NULL</code> means both
 linear/additive predictors
 are modelled as functions of the explanatory variables.
 See <code>CommonVGAMffArguments</code> for more information.

</dd>

</dl>

rec.normal: Upper Record Values from a Univariate Normal Distribution

Description

Usage

Arguments

Value

Details

References

See Also

Examples