Import xyz data from the NOAA (National Oceanic and Atmospheric Administration, <http://www.noaa.gov>), GEBCO (General Bathymetric Chart of the Oceans, <http://www.gebco.net>) and other sources, plot xyz data to prepare publication-ready figures, analyze xyz data to extract transects, get depth / altitude based on geographical coordinates, or calculate z-constrained least-cost paths.

DBI, RSQLite, gdistance, geosphere, sp, raster, ncdf, plotrix,
shape, reshape2

Import xyz data from the NOAA (National Oceanic and Atmospheric Administration, <https://www.noaa.gov>), GEBCO (General Bathymetric Chart of the Oceans, <https://www.gebco.net>) and other sources, plot xyz data to prepare publication-ready figures, analyze xyz data to extract transects, get depth / altitude based on geographical coordinates, or calculate z-constrained least-cost paths.

c(person("Jie", "Kang", role = c("aut", "cre", "cph"),
email = "jkang@maths.otago.ac.nz"),
person("Chris", "Scott", role = c("ctb")),
person("Albert", "Savary", role = c("ctb")))
To implement a model-averaging approach with different renewal
models, with a primary focus on forecasting large earthquakes. Based on
six renewal models (i.e., Poisson, Gamma, Log-Logistics, Weibull,
Log-Normal and BPT), model-averaged point estimates are calculated using
AIC (or BIC) weights. Additionally, both percentile and studentized
bootstrapped model-averaged confidence intervals are constructed. In
comparison, point and interval estimation from the individual or "best"
model (determined via model selection) can be retrieved.
knitr, devtools, roxygen2, testthat (>= 3.0.0)
Jie Kang [aut, cre, cph],
Chris Scott [ctb],
Albert Savary [ctb]

An algorithm for least-squares curve fitting
D. Commenges <Daniel.Commenges@isped.u-bordeaux2.fr>, M. Prague
<Melanie.Prague@isped.u-bordeaux2.fr> and Amadou Diakite
This algorithm provides a numerical solution to the
problem of minimizing a function. This is more efficient than
the Gauss-Newton-like algorithm when starting from points vey
far from the final minimum. A new convergence test is
implemented (RDM) in addition to the usual stopping criterion :
stopping rule is when the gradients are small enough in the
parameters metric (GH-1G).