Title: Clustering and Link Prediction Evaluation in R
Description: Tools for evaluating link prediction and clustering algorithms
with respect to ground truth. Includes efficient implementations of
common performance measures such as pairwise precision/recall,
cluster homogeneity/completeness, variation of information,
Packaged: 2020-12-02 10:19:31 UTC; nmarchant

Title: Conditioned Latin Hypercube Sampling
Description: This package implements the conditioned Latin hypercube
sampling, as published by Minasny and McBratney (2006). This
method proposes to stratify sampling in presence of ancillary
Depends: R (>= 2.9.0), utils, methods, grid, ggplot2, sp, raster,

data. An extension of this method, which propose to associate a
cost to each individual and take it into account during the
optimisation process, is also proposed (Roudier et al., 2012).
Imports: utils, methods, grid, ggplot2, sp, raster, reshape2, plyr,

Description: This package implements the conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006). This method proposes to stratify sampling in presence of ancillary data. An extension of this method, which propose to associate a cost to each individual and take it into account during the optimisation process, is also proposed (Roudier et al., 2012).

Description: Conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006). This method proposes to stratify sampling in presence of ancillary data. An extension of this method, which propose to associate a cost to each individual and take it into account during the optimisation process, is also proposed (Roudier et al., 2012).

Description: Conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006) <DOI:10.1016/j.cageo.2005.12.009>. This method proposes to stratify sampling in presence of ancillary data. An extension of this method, which propose to associate a cost to each individual and take it into account during the optimisation process, is also proposed (Roudier et al., 2012, <DOI:10.1201/b12728-46>).