Copyright: (c) 2010-2013 Madeleine Thompson, except dchud.f and
Packaged: 2013-04-19 04:21:14 UTC; madeleine

Author: Madeleine Thompson, except dchud.f and dchdd.f, which were written by
Description: This package consists of two components: a framework
for running sets of MCMC samplers on sets of distributions with
a variety of tuning parameters and plotting functions to visualize
the results of those simulations.  See sc-intro.pdf for an
Packaged: 2013-12-22 04:28:52 UTC; madeleine

Title: A Framework for Comparing the Performance of MCMC Samplers
Description: A framework for running sets of MCMC samplers on sets of
distributions with a variety of tuning parameters, along with plotting
functions to visualize the results of those simulations.  See sc-intro.pdf
Copyright: (c) 2010-2015 Madeleine Thompson, except dchud.f and
Packaged: 2015-02-22 20:20:05 UTC; madeleine

Packaged: 2015-07-04 00:14:23 UTC; madeleine

Copyright: (c) 2010-2018 Madeleine Thompson, except dchud.f and

Copyright: (c) 2010 Madeleine Thompson, except dch?d.f and the JSS
Packaged: 2011-07-31 00:30:25 UTC; madeleine

Author: Madeleine Thompson, except dchud.f and dchdd.f, which were written by G. W. Stewart.
Description: A framework for running sets of MCMC samplers on sets of distributions with a variety of tuning parameters, along with plotting functions to visualize the results of those simulations.

Copyright: (c) 2010-2021 Madeleine Thompson, except dchud.f and

Description: Select sampling methods for probability samples using large data sets.  This includes spatially balanced sampling in multi-dimensional spaces with any prescribed inclusion probabilities. All implementations are written in C with efficient data structures such as k-d trees that easily scale to several million rows on a modern desktop computer.
Packaged: 2018-08-30 20:08:24 UTC; jonathanlisic

Package: SamplingStrata
Type: Package
Title: Optimal stratification of sampling frames for multipurpose
sampling surveys
Version: 0.9-1
Date: 2011-7-12
Author: Giulio Barcaroli
Maintainer: Giulio Barcaroli <barcarol@istat.it>
Description: In the field of sampling design (in particular for
stratified sampling), this package offers an approach for the
determination of the best stratification of a sampling frame,
the one that ensures the minimum sample size under the
condition to satisfy precision constraints in a multivariate
and multidomain case. This approach is based on the use of the
genetic algorithm: each solution (i.e. a particular partition
in strata of the sampling frame) is considered as an individual
in a population; the fitness of all individuals is evaluated by
calculating (using the Bethel-Chromy algorithm) the sampling
size satisfying accuracy constraints on the target estimates.
Functions in the package allows to: (a) analyse the obtained
results of the optimisation step; (b) assign the new strata
labels to the sampling frame; (c) select a sample from the new
frame accordingly to the best allocation. There is also a
function that allows to build the most important input to the
optimisation step, i.e. the "strata" dataframe, containing
information (means and standard errors) regarding the
distributions of the target variables in the different strata,
using the sampling frame or using data from previous rounds of
the same survey.
License: GPL
LazyLoad: yes
Depends: R (>= 2.10.0)
Packaged: 2011-07-14 12:31:27 UTC; barcarol
Repository: CRAN
Date/Publication: 2011-07-23 13:04:42