redfitMinls {BINCOR} | R Documentation |
Minimization - least square
Description
The redfitMinls
function is used by the redfitTauest
function to calculate the persistence for unevenly spaced climate time
series under study. redfitTauest
is included in the
redfit function of the R dplR package (Bunn et al. 2015).
Usage
redfitMinls(t, x)
Arguments
t , x |
t and x are the times and the variables for an unevenly spaced time series. |
Details
The redfitMinls
function minimize (optimize) by least
squares to obtain some parameters of the AR1 model used to estimate
the persistence through the method of Mudelsee (2002). More information
about redfitMinls
function can be found in Bunn et al.
(2015) and Mudelsee (2002).
Note
Needs dplR to estimate the persistence contained in the irregular time series by means of the method of Mudelsee (2002). Please, for more details look at the code tauest_dplR.R in the directory R of our BINCOR package.
Author(s)
Mikko Korpela.
2013-2015 Aalto University, FINLAND.
Web: https://github.com/mvkorpel.
Email: mvkorpel@iki.fi
References
Bunn, A., Korpela, M., Biondi, F., Campelo, F., Mérian, P., Qeadan, F.,
Zang, C., Buras, A., Cecile, J., Mudelsee, M., Schulz, M. (2015).
Dendrochronology Program Library in R. R package version 1.6.3.
URL https://CRAN.R-project.org/package=dplR.
Mudelsee, M. (2002). TAUEST: A computer program for estimating persistence
in unevenly spaced weather/climate time series. Computers & Geosciences 28
(1), 69–72.
URL http://www.climate-risk-analysis.com/software/.
Schulz, M., Mudelsee M. (2002). REDFIT: estimating red-noise spectra directly
from unevenly spaced paleoclimatic time series. Computers & Geosciences 28(3),
421–426.
URL https://www.marum.de/Michael-Schulz/Michael-Schulz-Software.html.
Mudelsee, M. (2010). Climate Time Series Analysis: Classical Statistical and
Bootstrap Methods. Springer.
Mudelsee, M. (2014). Climate Time Series Analysis: Classical Statistical and
Bootstrap Methods, Second Edition. Springer.