'agpop.R' 'agsrs.R' 'agstrat.R' 'anthrop.R' 'anthsrs.R'
'anthuneq.R' 'audit.R' 'books.R' 'certify.R' 'coots.R'
'counties.R' 'divorce.R' 'golfsrs.R' 'htpop.R' 'htsrs.R'
'htstrat.R' 'journal.R' 'lahiri.design.R' 'measles.R' 'ncvs.R'
'nybight.R' 'otters.R' 'ozone.R' 'samples.R' 'seals.R'
'selectrs.R' 'statepop.R' 'statepps.R' 'syc.R' 'teachers.R'
'teachmi.R' 'teachnr.R' 'winter.R'

Integrated methodology for the identification of homogeneous
profiles in data distribution
Integrated set of tools and methods to identify
homogeneous profiles/subtypes in data distribution by cluster
analysis. It includes methods for data treatment and
pre-processing, repeated cluster analysis, model selection,
model reliability and reproducibility assessment, profiles
characterization and validation by visual and table summaries.
It applies particularly to the search for more homogeneous
profiles in cohort studies.
R (>= 2.5.1), mclust, stats, utils, RColorBrewer, abind,
xtable, digest, e1071, snow

R (>= 2.5.1), mclust, stats, utils, RColorBrewer, abind,
xtable, digest, e1071, snow, SparseM

R (>= 2.12.1), mclust, stats, utils, RColorBrewer, abind,
xtable, digest, e1071, snow, SparseM

Integrated methodology for the identification of homogeneous
subtypes in data
Tools and methods to identify homogeneous subtypes in data by cluster analysis; includes methods for
data pre-processing, repeated cluster analysis, model selection, model reliability and reproducibility
assessment, subtype characterization and validation.

Spatially Balanced Samples of Spatial Objects
c(person("Trent", "McDonald", role=c("cre","aut"), email="tmcdonald@west-inc.com"),
person("Aidan", "McDonald", role="aut", email="amcdonald@west-inc.com", comment="HIP sampling methods"),
person("Michael", "Kleinsausser", role="ctb"),
person("Stefan", "Emmons", role="ctb", email="semmons@west-inc.com", comment="Auto testing and Travis"))
Routines for drawing samples from spatial objects, focused on spatially
balanced algorithms. Draws Halton Iterative Partition (HIP)
(Robertson et al., 2018; <doi:10.1007/s10651-018-0406-6>),
Balanced Acceptance Samples (BAS) (Robertson et al., 2013; <doi:10.1111/biom.12059>),
Generalized Random
Tessellation Stratified (GRTS) (Stevens and Olsen, 2004; <doi:10.1198/016214504000000250>),
Simple Systematic Samples (SSS) and
Simple Random Samples (SRS) from point, line, and polygon resources.
Frames are 'SpatialPoints', 'SpatialLines', or 'SpatialPolygons'
objects from package 'sp'.
spsurvey, utils, rgeos, graphics, methods, deldir, stats, covr
Trent McDonald [cre, aut],
Aidan McDonald [aut] (HIP sampling methods),
Michael Kleinsausser [ctb],
Stefan Emmons [ctb] (Auto testing and Travis)