1,129 research outputs found
Description
Description A package that provides functions for measuring spatial segregation. The methods implemented in this package includ
Date 2013-02-18
Description Auxiliary functions and data sets for _Ecological Models and Data_, a book presenting maximum likelihood estimation and related topics for ecologists (ISBN 978-0-691-12522-0
License BSD_3_clause + file LICENSE
R topics documented: RQDA-package....................................... 2 casesCodedBy........................................ 3 codingBySearch....................................... 4 crossCodes......................................... 6 Deletion........................................... 7 exportCodedFile...................................... 8 exportCodings........................................ 9 filesByCodes........................................ 10 filesCodedBy........................................ 10 getAttr............................................ 11 getCases........................................... 13 getCodingsByOne...................................... 14 getCodingTable....................................... 15 getFileIdSets........................................ 1
Description Calculate distances and routes on geographic grids. License GPL (> = 2)
R topics documented: gdistance-package...................................... 2 accCost........................................... 3 adjacencyFromTransition.................................. 4 ArithMath-methods..................................... 5 commuteDistance......................................
Repository CRAN
Description Package for geostatistical interpolation of data with irregular spatial support such as runoff related data or data from administrative units
Title Empirical Bayes Estimation of Dynamic Bayesian Networks Version 1.2.3 Date 2013-07-26
Description This package is used to infer the adjacency matrix of a network from time course data using an empirical Bayes estimation procedure based on Dynamic Bayesian Networks. License GPL (> = 3
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