'R' version of 'G-Series', Statistics Canada's generalized system devoted
    to the benchmarking and reconciliation of time series data. The methods
    used in 'G-Series' essentially come from Dagum, E. B., and P. Cholette 
    (2006) <doi:10.1007/0-387-35439-5>.

Simple package to download Google Sheets using just the sharing
    link. Spreadsheets can be downloaded as a data frame, or as plain text to parse
    manually. Google Sheets is the new name for Google Docs Spreadsheets <https://www.google.com/sheets/about>.

R implementation of the 'Octave' package 'signal', containing
    a variety of signal processing tools, such as signal generation and
    measurement, correlation and convolution, filtering, filter design,
    filter analysis and conversion, power spectrum analysis, system
    identification, decimation and sample rate change, and windowing.

A set of high efficient functions to decode identifiers of National 
  Football League players.

An R wrapper for some of the functionality of the
 Gnu Scientific Library.

An R interface to weighted nonlinear least-squares optimization with the GNU Scientific Library (GSL), see M. Galassi et al. (2009, ISBN:0954612078). The available trust region methods include the Levenberg-Marquardt algorithm with and without geodesic acceleration, the Steihaug-Toint conjugate gradient algorithm for large systems and several variants of Powell's dogleg algorithm. Multi-start optimization based on quasi-random samples is implemented using a modified version of the algorithm in Hickernell and Yuan (1997, OR Transactions). Robust nonlinear regression can be performed using various robust loss functions, in which case the optimization problem is solved by iterative reweighted least squares (IRLS). Bindings are provided to tune a number of parameters affecting the low-level aspects of the trust region algorithms. The interface mimics R's nls() function and returns model objects inheriting from the same class.

Contains published data sets for global benthic d18O data for 
    0-5.3 Myr <doi:10.1029/2004PA001071> and global sea levels based 
    on marine sediment core data for 0-800 ka <doi:10.5194/cp-12-1-2016>.