npsp.tolerance

Returns a (convergence, taper, approximation,...) tolerance.
Defaults to <code>.Machine$double.eps^(1/level)</code>, typically about <code>1e-8</code>.

Multidimensional nonparametric spatial (spatio-temporal) geostatistics.
S3 classes and methods for multidimensional: linear binning,
local polynomial kernel regression (spatial trend estimation), density and variogram estimation.
Nonparametric methods for simultaneous inference on both spatial trend
and variogram functions (for spatial processes).
Nonparametric residual kriging (spatial prediction).
For details on these methods see, for example, Fernandez-Casal and Francisco-Fernandez (2014)
<doi:10.1007/s00477-013-0817-8> or Castillo-Paez et al. (2019) <doi:10.1016/j.csda.2019.01.017>.

Ruben FernandezCasal

npsp

Nonparametric Spatial Statistics

Ruben Fernandez-Casal

npsp.tolerance function

<dl><dt>level</dt>
<dd>numerical,</dd>
<dt>warn</dt>
<dd>logical; If <code>TRUE</code> (the default) a warning message is issued
when <code>level &lt; 1</code>.</dd></dl>

Arguments

npsp Tolerances — npsp.tolerance

<dl>

<dt>level</dt>
<dd>numerical,</dd>


<dt>warn</dt>
<dd>logical; If <code>TRUE</code> (the default) a warning message is issued
when <code>level &lt; 1</code>.</dd>

</dl>

npsp.tolerance: npsp Tolerances

Description

Usage

Value

Arguments

See Also

Examples