jackknife_cov

a numeric vector, matrix or data frame.

&lt;U+2018&gt;NULL&lt;U+2019&gt; (default) or a vector, matrix or data frame with
compatible dimensions to &lt;U+2018&gt;x&lt;U+2019&gt;. The default is equivalent to
&lt;U+2018&gt;y = x&lt;U+2019&gt; (but more efficient).

logical. The rows containing any <code>NA</code> will be deleted if this
option is set.

na.rm

parameters to be forwarded to <a rd-options="" href="/link/cov?package=hadron&version=3.1.2" data-mini-rdoc="hadron::cov">cov</a>.

Computes covariance matrix for jackknife samples.

Toolkit to perform statistical analyses of correlation
functions generated from Lattice Monte Carlo simulations. In
particular, a class 'cf' for correlation functions and
methods to analyse those are defined. This includes (blocked)
bootstrap (based on the 'boot' package) and jackknife, but also an
automatic determination of integrated autocorrelation
times. 'hadron' also provides a very general function
bootstrap.nlsfit() to bootstrap a non-linear least squares fit.
More specific functions are provided to extract hadronic quantities
from Lattice Quantum Chromodynamics simulations, a particular Monte
Carlo simulation,(see e.g. European Twisted Mass Collaboration, P. Boucaud et
al. (2008) <doi:10.1016/j.cpc.2008.06.013>). Here, to determine
energy eigenvalues of hadronic states, specific fitting routines
and in particular the generalised eigenvalue method (see
e.g. B. Blossier et al. (2009) <doi:10.1088/1126-6708/2009/04/094>
and M. Fischer et al. (2020)
<https://inspirehep.net/literature/1792113>) are implemented.
In addition, input/output and plotting routines are available.

Carsten Urbach

hadron

Analysis Framework for Monte Carlo Simulation Data in Physics

Bartosz Kostrzewa

Johann Ostmeyer

Martin Ueding

Nikolas Schlage

Markus Werner

Ferenc Pittler

Matthias Fischer

Vittorio Lubicz

jackknife_cov function

parameters to be forwarded to <a rd-options='' href='cov'>cov</a>.

jackknife_cov: jackknife_cov

Description

Usage

Arguments

Value