simulate.lad

Simulate one or more responses from the distribution corresponding to a
 fitted <code>lad</code> object.

models

datagen

L1 estimation for linear regression using Barrodale and Roberts' method
<doi:10.1145/355616.361024> and the EM algorithm <doi:10.1023/A:1020759012226>.
Estimation of mean and covariance matrix using the multivariate Laplace distribution,
density, distribution function, quantile function and random number generation
for univariate and multivariate Laplace distribution <doi:10.1080/03610929808832115>.
Implementation of Naik and Plungpongpun <doi:10.1007/0-8176-4487-3_7> for the
Generalized spatial median estimator is included.

Felipe Osorio

L1pack

Routines for L1 Estimation

Tymoteusz Wolodzko

simulate.lad function

<dl> <dt>object</dt>
<dd>an object representing a fitted model.</dd> <dt>nsim</dt>
<dd>number of response vectors to simulate. Defaults to 1.</dd> <dt>seed</dt>
<dd>an object specifying if and how the random number generator should
 be initialized (&#8216;seeded&#8217;). For the "lad" method, either <code>NULL</code>
 or an integer that will be used in a call to <code>set.seed</code> before simulating
 the response vectors. If set, the value is saved as the <code>"seed"</code> attribute
 of the returned value. The default, <code>NULL</code> will not change the random
 generator state, and return <code><a href="/link/.Random.seed?package=L1pack&version=0.52" data-mini-rdoc="L1pack::.Random.seed">.Random.seed</a></code> as the <code>"seed"</code>
 attribute, see &#8216;Value&#8217;.</dd> <dt>...</dt>
<dd>additional optional arguments.</dd></dl>

Arguments

Tymoteusz Wolodzko and Felipe Osorio

Author

Simulate responses from lad models — simulate.lad

<dl>

 <dt>object</dt>
<dd>an object representing a fitted model.</dd>

 <dt>nsim</dt>
<dd>number of response vectors to simulate. Defaults to 1.</dd>

 <dt>seed</dt>
<dd>an object specifying if and how the random number generator should
 be initialized (&#8216;seeded&#8217;). For the "lad" method, either <code>NULL</code>
 or an integer that will be used in a call to <code>set.seed</code> before simulating
 the response vectors. If set, the value is saved as the <code>"seed"</code> attribute
 of the returned value. The default, <code>NULL</code> will not change the random
 generator state, and return <code><a href='https://rdrr.io/r/base/Random.html'>.Random.seed</a></code> as the <code>"seed"</code>
 attribute, see &#8216;Value&#8217;.</dd>

 <dt>...</dt>
<dd>additional optional arguments.</dd>

</dl>

simulate.lad: Simulate responses from `lad` models

Description

Usage

Value

Arguments

Author

Examples