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). Depends R (> = 2.9.0) Imports utils, methods, grid, ggplot2, sp, raster, reshape2, plyr,scale
Parameter importance sampling (IS) is combined with Latin Hypercube Sampling (LHS) to improve the es...
The Latin Hypercube Sampling, LHS, plan was presented by McKay, Beckman and Conover (Technometrics, ...
Non UBCUnreviewedAuthor affiliation: Frankfurt School of Finance and ManagementFacult
Description This package implements the conditioned Latin hypercube sampling, as published by Mi-nas...
This document is a reference guide for LHS, Sandia`s Latin Hypercube Sampling Software. This softwar...
The conditioned Latin hypercube sampling (cLHS) algorithm is popularly used for planning field sampl...
For obtaining maps of good precision by the spatial inference method, the distribution of sampling s...
Abstract: In this article, a novel method for the exten-sion of sample size in Latin Hypercube Sampl...
International audienceIn some studies requiring predictive and CPU-time consuming numerical models, ...
Latin hypercube sampling is suggested as a tool to improve the efficiency of different importance sa...
This paper examines the application of Latin Hypercube Sampling (LHS) and Antithetic Variables (AVs)...
McKay, Conover and Beckman (1979) introduced Latin hypercube sampling (LHS) for reducing variance of...
This is a package for generating latin hypercube samples with multi-dimensional uniformity. This all...
McKay, Conover and Beckman (1979) introduced Latin hypercube sampling (LHS) for reducing variance of...
Abstract: We use Latin Hypercube Sampling to produce a synthetic data set that reproduces many of t...
Parameter importance sampling (IS) is combined with Latin Hypercube Sampling (LHS) to improve the es...
The Latin Hypercube Sampling, LHS, plan was presented by McKay, Beckman and Conover (Technometrics, ...
Non UBCUnreviewedAuthor affiliation: Frankfurt School of Finance and ManagementFacult
Description This package implements the conditioned Latin hypercube sampling, as published by Mi-nas...
This document is a reference guide for LHS, Sandia`s Latin Hypercube Sampling Software. This softwar...
The conditioned Latin hypercube sampling (cLHS) algorithm is popularly used for planning field sampl...
For obtaining maps of good precision by the spatial inference method, the distribution of sampling s...
Abstract: In this article, a novel method for the exten-sion of sample size in Latin Hypercube Sampl...
International audienceIn some studies requiring predictive and CPU-time consuming numerical models, ...
Latin hypercube sampling is suggested as a tool to improve the efficiency of different importance sa...
This paper examines the application of Latin Hypercube Sampling (LHS) and Antithetic Variables (AVs)...
McKay, Conover and Beckman (1979) introduced Latin hypercube sampling (LHS) for reducing variance of...
This is a package for generating latin hypercube samples with multi-dimensional uniformity. This all...
McKay, Conover and Beckman (1979) introduced Latin hypercube sampling (LHS) for reducing variance of...
Abstract: We use Latin Hypercube Sampling to produce a synthetic data set that reproduces many of t...
Parameter importance sampling (IS) is combined with Latin Hypercube Sampling (LHS) to improve the es...
The Latin Hypercube Sampling, LHS, plan was presented by McKay, Beckman and Conover (Technometrics, ...
Non UBCUnreviewedAuthor affiliation: Frankfurt School of Finance and ManagementFacult