person("Thimo", "Schuster", email = "thimo.schuster@gmail.com", role = c("aut")),
person("Roman", "Flury", email = "roman.flury@math.uzh.ch", role = c("cre", "ctb")),
Description: A method for the multiresolution analysis of spatial fields and images to capture scale-dependent features.
mrbsizeR is based on scale space smoothing and uses differences of smooths at neighbouring scales for finding features on different scales.
To infer which of the captured features are credible, Bayesian analysis is used.
The scale space multiresolution analysis has three steps: (1) Bayesian signal reconstruction.
(2) Using differences of smooths, scale-dependent features of the reconstructed signal can be found.
(3) Posterior credibility analysis of the differences of smooths created.
The method has first been proposed by Holmstrom, Pasanen, Furrer, Sain (2011) <DOI:10.1016/j.csda.2011.04.011>.

person("Roman", "Flury", email = "roman.flury@math.uzh.ch", role = c("cre", "aut")),
Matlab code is available under <http://cc.oulu.fi/~lpasanen/MRBSiZer/>.

Author: Christian Ritz <ritz@life.ku.dk>, Mads Jeppe Tarp-Johansen,
Description: Model-robust, semi-parametric modelling of continuous and
Depends: R (>= 2.6.0), drc, locfit, EffectiveDose

Title: Mark-Recapture Distance Sampling (mrds)
Author: Jeff Laake <jeff.laake@noaa.gov>, David Borchers
David Miller <dlm22@st-and.ac.uk> and Jon Bishop
Description: This package implements mark-recapture distance sampling
methods as described in D.L. Borchers, W. Zucchini and Fewster,
R.M. (1988), "Mark-recapture models for line transect surveys",
Biometrics 54: 1207-1220. and Laake, J.L. (1999) "Distance
sampling with independent observers: Reducing bias from
heterogeneity by weakening the conditional independence
assumption." in Amstrup, G.W., Garner, S.C., Laake, J.L.,
Manly, B.F.J., McDonald, L.L. and Robertson, D.G. (eds) "Marine
mammal survey and assessment methods", Balkema, Rotterdam:
137-148 and Borchers, D.L., Laake, J.L., Southwell, C. and
Paxton, C.L.G. "Accommodating unmodelled heterogeneity in
double-observer distance sampling surveys". 2006.  Biometrics
'cds.R' 'coef.ds.R' 'coef.io.fi.R' 'coef.io.R' 'coef.rem.fi.R'
'ddf.io.R' 'ddf.R' 'ddf.rem.fi.R' 'ddf.rem.R' 'ddf.trial.fi.R'
'detfct.R' 'dht.deriv.R' 'dht.R' 'dht.se.R' 'ds.function.r'
'errors.R' 'flnl.R' 'flt.lnl.R' 'flt.var.R' 'fpt.lnl.r' 'g0.R'
'getpar.R' 'gof.ds.R' 'gof.io.fi.R' 'gof.io.R' 'gof.rem.fi.R'