nullspace

<code>"right"</code> (default) gives is the standard nullspace,
<code>"left"</code> gives left nullspace of <code>A</code>.

type

tolerance multiple of the first singular value to determine if
subsequent singular values are (sufficiently) positive to be determined
greater than zero.

Compute the (right or left) nullspace of matrix using a (semi-complete)
Singular Value Decomposition.

internal

Provides p-values in type I, II or III anova and summary tables
for lmer model fits (cf. lme4) via Satterthwaite's degrees of freedom method. A
Kenward-Roger method is also available via the pbkrtest package. Model selection
methods include step, drop1 and anova-like tables for random effects (ranova).
Methods for Least-Square means (LS-means) and tests of linear contrasts of fixed
effects are also available.

Rune Haubo Bojesen Christensen

lmerTest

Tests in Linear Mixed Effects Models

Alexandra Kuznetsova

Per Bruun Brockhoff

Sofie Pødenphant Jensen

nullspace function

<dl><dt>A</dt>
<dd>a numeric matrix.</dd>
<dt>type</dt>
<dd><code>"right"</code> (default) gives is the standard nullspace,
<code>"left"</code> gives left nullspace of <code>A</code>.</dd>
<dt>tol</dt>
<dd>tolerance multiple of the first singular value to determine if
subsequent singular values are (sufficiently) positive to be determined
greater than zero.</dd></dl>

Arguments

Author

Nullspace — nullspace

<dl>

<dt>A</dt>
<dd>a numeric matrix.</dd>


<dt>type</dt>
<dd><code>"right"</code> (default) gives is the standard nullspace,
<code>"left"</code> gives left nullspace of <code>A</code>.</dd>


<dt>tol</dt>
<dd>tolerance multiple of the first singular value to determine if
subsequent singular values are (sufficiently) positive to be determined
greater than zero.</dd>

</dl>

nullspace: Nullspace

Description

Usage

Value

Arguments

Author

Details

Examples