Title: Partially Balanced Incomplete Block Designs
Description: Assists in calculating the efficiencies of Partially Balanced Incomplete Block Designs with any number of associate classes. This will help the researchers in calculating the efficiencies of their PBIB designs very quickly and efficiently.
Author: Parneet Kaur <parneet.nonu93@gmail.com>, Kush Sharma <kush.vashishtha@gmail.com>, Davinder Kumar Garg <dkgarg_stat@yahoo.co.in>
Maintainer: Kush Sharma <kush.vashishtha@gmail.com>
Diff between PBIBD versions 1.0 dated 2016-08-25 and 1.1 dated 2016-10-14
DESCRIPTION | 12 ++++++------ MD5 | 19 +++++++++++-------- NAMESPACE | 1 + R/apbibd.R |only R/apbibd3.R | 2 +- build |only man/PBIBD-package.Rd | 18 +++++++++--------- man/apbibd.Rd |only man/apbibd2.Rd | 6 +++--- man/apbibd3.Rd | 6 +++--- man/apbibd4.Rd | 8 ++++---- man/apbibd5.Rd | 12 ++++++------ 12 files changed, 44 insertions(+), 40 deletions(-)
Title: Network Meta-Analysis using Frequentist Methods
Description: A comprehensive set of functions providing frequentist methods for network meta-analysis and supporting Schwarzer et al. (2015) <DOI:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis":
- frequentist network meta-analysis following Rücker (2012) <DOI:10.1002/jrsm.1058>;
- net heat plot and design-based decomposition of Cochran's Q according to Krahn et al. (2013) <DOI:10.1186/1471-2288-13-35>;
- measures characterizing the flow of evidence between two treatments by König et al. (2013) <DOI:10.1002/sim.6001>;
- ranking of treatments (frequentist analogue of SUCRA) according to Rücker & Schwarzer (2015) <DOI:10.1186/s12874-015-0060-8>;
- automated drawing of network graphs described in Rücker & Schwarzer (2016) <DOI:10.1002/jrsm.1143>.
Author: Gerta Rücker [aut],
Guido Schwarzer [aut, cre],
Ulrike Krahn [aut],
Jochem König [aut]
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>
Diff between netmeta versions 0.9-0 dated 2016-04-26 and 0.9-1 dated 2016-10-14
DESCRIPTION | 18 +++++--- MD5 | 50 ++++++++++++----------- NAMESPACE | 7 +-- NEWS | 72 ++++++++++++++++++++++++++++++++++ R/decomp.design.R | 3 + R/decomp.tau.R | 2 R/forest.netmeta.R | 94 +++++++++++++++++++++++++++++++++------------ R/netconnection.R | 13 +++++- R/netdistance.R | 5 ++ R/netgraph.R | 50 ++++++++++++++++++++--- R/netheat.R | 6 ++ R/netmeasures.R | 17 ++++++-- R/nma.krahn.R | 4 + R/nma.ruecker.R | 5 +- R/print.netmeta.R | 4 - R/shadowtext.R |only R/stress.R | 7 --- R/tau.within.R | 4 + man/decomp.design.Rd | 2 man/forest.netmeta.Rd | 61 ++++++++++++++++++++++++++--- man/netgraph.Rd | 25 ++++++++++- man/netheat.Rd | 2 man/netmeasures.Rd | 2 man/netmeta-package.Rd |only man/netmeta.Rd | 6 +- man/pairwise.Rd | 6 +- man/print.decomp.design.Rd | 2 27 files changed, 368 insertions(+), 99 deletions(-)
Title: Plot and Manipulate Multigraphs
Description: Functions to plot and manipulate multigraphs and bipartite graphs with different layout options.
Author: Antonio Rivero Ostoic [aut, cre]
Maintainer: Antonio Rivero Ostoic <jaro@econ.au.dk>
Diff between multigraph versions 0.30 dated 2016-08-16 and 0.40 dated 2016-10-14
multigraph-0.30/multigraph/R/area.R |only multigraph-0.30/multigraph/R/stss.R |only multigraph-0.30/multigraph/man/area.Rd |only multigraph-0.30/multigraph/man/stss.Rd |only multigraph-0.40/multigraph/DESCRIPTION | 12 multigraph-0.40/multigraph/MD5 | 22 - multigraph-0.40/multigraph/R/bmgraph.R | 173 +++++----- multigraph-0.40/multigraph/R/frcd.R |only multigraph-0.40/multigraph/R/mbnd.R | 7 multigraph-0.40/multigraph/R/multigraph.R | 316 +++++++++---------- multigraph-0.40/multigraph/R/popl.R | 4 multigraph-0.40/multigraph/man/bmgraph.Rd | 8 multigraph-0.40/multigraph/man/frcd.Rd |only multigraph-0.40/multigraph/man/multigraph-package.Rd | 8 multigraph-0.40/multigraph/man/multigraph.Rd | 10 15 files changed, 292 insertions(+), 268 deletions(-)
Title: Cluster Detection with Hypothesis Free Scan Statistic
Description: Multiple scan statistic with variable window for one dimension data and scan statistic based on connected components in 2D or 3D.
Author: Robin Loche, Benoit Giron, David Abrial, Lionel Cucala, Myriam Charras-Garrido, Jocelyn De-Goer
Maintainer: David Abrial <graphscan@clermont.inra.fr>
Diff between graphscan versions 1.1 dated 2015-09-21 and 1.1.1 dated 2016-10-14
DESCRIPTION | 8 ++++---- MD5 | 22 +++++++++++----------- R/graphscan_1d_array_function.R | 11 +++++++---- man/cluster.Rd | 6 ++++-- man/events_series.Rd | 3 ++- man/france_two_clusters.Rd | 6 ++++-- man/graphscan-class.Rd | 7 ++++--- man/graphscan-plot.Rd | 4 ++-- man/graphscan.Rd | 35 ++++++++++++++--------------------- man/graphscan_1d.Rd | 17 ++++++++++------- src/2D_detection_cluster.c | 14 ++++++++++---- src/unif_aleat.c | 13 ++++++------- 12 files changed, 78 insertions(+), 68 deletions(-)
Title: Download and Aggregate High Frequency Trading Data from Bovespa
Description: Downloads and aggregates high frequency trading data for Brazilian instruments directly from Bovespa ftp site <ftp://ftp.bmf.com.br/MarketData/>.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>
Diff between GetHFData versions 1.1.0 dated 2016-08-15 and 1.2.0 dated 2016-10-14
DESCRIPTION | 6 ++-- MD5 | 20 +++++++------- NEWS.md | 9 +++++- R/ghfd_get_HF_data.R | 19 +++++++------ R/ghfd_get_available_tickers_from_ftp.R | 1 R/ghfd_read_file.R | 24 ++++++++++++---- inst/doc/ghfd-vignette.html | 41 +++++++++++++++-------------- man/ghfd_get_HF_data.Rd | 8 ++--- man/ghfd_get_available_tickers_from_ftp.Rd | 2 - man/ghfd_get_ftp_contents.Rd | 2 - man/ghfd_read_file.Rd | 2 - 11 files changed, 79 insertions(+), 55 deletions(-)
Title: Evolutionary Learning of Globally Optimal Trees
Description: Commonly used classification and regression tree methods like the CART algorithm
are recursive partitioning methods that build the model in a forward stepwise search.
Although this approach is known to be an efficient heuristic, the results of recursive
tree methods are only locally optimal, as splits are chosen to maximize homogeneity at
the next step only. An alternative way to search over the parameter space of trees is
to use global optimization methods like evolutionary algorithms. The 'evtree' package
implements an evolutionary algorithm for learning globally optimal classification and
regression trees in R. CPU and memory-intensive tasks are fully computed in C++ while
the 'partykit' package is leveraged to represent the resulting trees in R, providing
unified infrastructure for summaries, visualizations, and predictions.
Author: Thomas Grubinger [aut, cre],
Achim Zeileis [aut],
Karl-Peter Pfeiffer [aut]
Maintainer: Thomas Grubinger <Thomas.Grubinger@scch.at>
Diff between evtree versions 1.0-0 dated 2014-10-15 and 1.0-1 dated 2016-10-14
DESCRIPTION | 17 MD5 | 40 - NAMESPACE | 1 NEWS | 7 build/vignette.rds |binary data/BBBClub.rda |binary data/ContraceptiveChoice.RData |binary data/GermanCredit.RData |binary data/MAGICGammaTelescope.RData |binary data/StatlogHeart.RData |binary inst/doc/evtree.R | 1100 ++++++++++++++++++------------------- inst/doc/evtree.Rnw | 2 inst/doc/evtree.pdf |binary man/MAGICGammaTelescope.Rd | 2 src/container.cpp | 12 src/container.h | 2 src/node.cpp | 26 src/tree.cpp | 70 +- src/tree.h | 1 tests/Examples/evtree-Ex.Rout.save | 36 - vignettes/evtree.Rnw | 2 21 files changed, 666 insertions(+), 652 deletions(-)
Title: Analyzes Clickstreams Based on Markov Chains
Description: A set of tools to read, analyze and write lists of click sequences
on websites (i.e., clickstream). A click can be represented by a number,
character or string. Clickstreams can be modeled as zero- (only computes
occurrence probabilities), first- or higher-order Markov chains.
Author: Michael Scholz
Maintainer: Michael Scholz <michael.scholz@uni-passau.de>
Diff between clickstream versions 1.1.8 dated 2016-04-26 and 1.1.9 dated 2016-10-14
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- NEWS | 5 +++++ R/clickstream-package.R | 8 ++++---- inst/CITATION | 29 +++++++++++++++++++---------- man/clickstream-package.Rd | 11 +++++++---- 6 files changed, 44 insertions(+), 27 deletions(-)
Title: Cognitive Diagnosis Modeling
Description:
Functions for cognitive diagnosis modeling
and multidimensional item response modeling for
dichotomous and polytomous data. This package
enables the estimation of the DINA and DINO model,
the multiple group (polytomous) GDINA model,
the multiple choice DINA model, the general diagnostic
model (GDM), the multidimensional linear compensatory
item response model and the structured latent class
model (SLCA).
Author:
Alexander Robitzsch [aut, cre], Thomas Kiefer [aut],
Ann Cathrice George [aut], Ali Uenlue [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Diff between CDM versions 5.1-0 dated 2016-08-29 and 5.2-1 dated 2016-10-14
DESCRIPTION | 8 - MD5 | 77 ++++++++++-------- R/din.R | 4 R/gdina.R | 2 R/gdina_proc_noninvariance_multiple_groups.R.R |only R/gdina_reduced_skillspace.R.R |only R/gdina_se_itemwise.R.R |only R/item_by_group.R | 31 +++++++ data/data.Students.rda |binary data/data.cdm01.rda |binary data/data.cdm02.rda |binary data/data.cdm03.rda |binary data/data.cdm04.rda |binary data/data.dcm.rda |binary data/data.dtmr.rda |binary data/data.ecpe.rda |binary data/data.fraction1.rda |binary data/data.fraction2.rda |binary data/data.hr.rda |binary data/data.jang.rda |binary data/data.melab.rda |binary data/data.mg.rda |binary data/data.pgdina.rda |binary data/data.sda6.rda |binary data/data.timss03.G8.su.rda |binary data/data.timss07.G4.lee.rda |binary data/data.timss11.G4.AUT.part.rda |binary data/data.timss11.G4.AUT.rda |binary data/fraction.subtraction.data.rda |binary data/fraction.subtraction.qmatrix.rda |binary data/sim.dina.rda |binary data/sim.dino.rda |binary data/sim.qmatrix.rda |binary inst/CITATION |only inst/NEWS | 20 ++++ inst/NEWS.txt |only man/CDM-package.Rd | 102 +++++++++++++------------ man/data.cdm.Rd | 9 +- man/gdina.Rd | 15 ++- man/gdina.wald.Rd | 2 man/item_by_group.Rd | 18 +++- man/sequential.items.Rd | 4 42 files changed, 187 insertions(+), 105 deletions(-)
Title: Anything to 'POSIXct' or 'Date' Converter
Description: Convert input in any one of character, integer, numeric, factor,
or ordered type into 'POSIXct' (or 'Date') objects, using one of a number of
predefined formats, and relying on Boost facilities for date and time parsing.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between anytime versions 0.0.2 dated 2016-09-15 and 0.0.3 dated 2016-10-14
ChangeLog | 24 +++++++++++++++ DESCRIPTION | 10 +++--- MD5 | 21 ++++++------- R/RcppExports.R | 4 ++ R/anytime.R | 10 +++++- README.md | 2 - build/partial.rdb |binary inst/NEWS.Rd | 8 +++++ man/anytime.Rd | 10 +++++- src/RcppExports.cpp | 13 ++++++++ src/anytime.cpp | 83 ++++++++++++++++++++++++++++++++++++---------------- tests/gh_issue_12.R |only 12 files changed, 142 insertions(+), 43 deletions(-)
Title: Convert R Markdown Files to DataCamp Light HTML Files
Description: DataCamp Light (<https://github.com/datacamp/datacamp-light>) is a light-weight implementation of the DataCamp UI,
that allows you to embed interactive exercises inside HTML documents. The tutorial package makes it easy to create these
HTML files from R Markdown files. An extension to knitr, tutorial detects appropriately formatted code chunks and replaces them
with DataCamp Light readable chunks in the resulting HTML file.
Author: Filip Schouwenaars
Maintainer: Filip Schouwenaars <filip@datacamp.com>
Diff between tutorial versions 0.4.2 dated 2016-09-12 and 0.4.3 dated 2016-10-14
tutorial-0.4.2/tutorial/inst/example.html |only tutorial-0.4.3/tutorial/DESCRIPTION | 8 +++---- tutorial-0.4.3/tutorial/MD5 | 19 ++++++++---------- tutorial-0.4.3/tutorial/R/example.R | 13 +++++++++++- tutorial-0.4.3/tutorial/README.md | 15 +++++++++----- tutorial-0.4.3/tutorial/inst/doc/tutorial-basics.Rmd | 8 +++++-- tutorial-0.4.3/tutorial/inst/doc/tutorial-basics.html | 14 ++++++++----- tutorial-0.4.3/tutorial/inst/example.Rmd | 4 ++- tutorial-0.4.3/tutorial/man/build_example.Rd | 5 +++- tutorial-0.4.3/tutorial/tests/testthat/test-example.R | 2 - tutorial-0.4.3/tutorial/vignettes/tutorial-basics.Rmd | 8 +++++-- 11 files changed, 64 insertions(+), 32 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-10-13 0.1
Title: Using Fonts More Easily in R Graphs
Description: Making it easy to use various types of fonts ('TrueType',
'OpenType', Type 1, web fonts, etc.) in R graphs, and supporting most output
formats of R graphics including PNG, PDF and SVG. Text glyphs will be converted
into polygons or raster images, hence after the plot has been created, it no
longer relies on the font files. No external software such as 'Ghostscript' is
needed to use this package.
Author: Yixuan Qiu and authors/contributors of the
included software. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>
Diff between showtext versions 0.4-4 dated 2015-10-29 and 0.4-5 dated 2016-10-14
DESCRIPTION | 14 ++++++++------ MD5 | 12 +++++++++--- build |only inst/NEWS.Rd | 8 ++++++++ inst/doc |only src/devfuns.c | 12 +++++++++--- vignettes |only 7 files changed, 34 insertions(+), 12 deletions(-)
Title: Somoclu
Description: Somoclu is a massively parallel implementation of self-organizing maps. It exploits multicore CPUs and it can be accelerated by CUDA. The topology of the map can be planar or toroid and the grid of neurons can be rectangular or hexagonal .
Author: Peter Wittek [aut], Shichao Gao [cre]
Maintainer: Shichao Gao <xgdgsc@gmail.com>
Diff between Rsomoclu versions 1.6.2.1 dated 2016-09-19 and 1.7.1 dated 2016-10-14
DESCRIPTION | 8 ++++---- MD5 | 18 +++++++++--------- configure | 2 +- data/rgbs.txt.gz |binary src/Makefile.in | 25 ++++++++++++------------- src/Makefile.root.in | 2 +- src/configure | 18 +++++++++--------- src/denseCpuKernels.cpp | 1 - src/sparseCpuKernels.cpp | 1 - src/training.cpp | 6 +++--- 10 files changed, 39 insertions(+), 42 deletions(-)
Title: Multivariate Data Handling with S4 Classes and Sparse Matrices
Description: An S4 update of the 'mefa' package
using sparse matrices for enhanced efficiency.
Sparse array-like objects are supported via
lists of sparse matrices.
Author: Peter Solymos
Maintainer: Peter Solymos <solymos@ualberta.ca>
Diff between mefa4 versions 0.3-3 dated 2016-03-01 and 0.3-4 dated 2016-10-14
mefa4-0.3-3/mefa4/inst/ChangeLog |only mefa4-0.3-4/mefa4/DESCRIPTION | 8 +- mefa4-0.3-4/mefa4/MD5 | 13 ++-- mefa4-0.3-4/mefa4/NAMESPACE | 8 +- mefa4-0.3-4/mefa4/R/mefa4utilities.R | 113 +++++++++++++++++++++++++++++------ mefa4-0.3-4/mefa4/inst/CITATION | 2 mefa4-0.3-4/mefa4/man/findMax.Rd |only mefa4-0.3-4/mefa4/man/nameAlnum.Rd | 53 ++++++++-------- mefa4-0.3-4/mefa4/man/notin.Rd |only 9 files changed, 137 insertions(+), 60 deletions(-)
Title: R Interface for H2O
Description: R scripting functionality for H2O, the open source
math engine for big data that computes parallel distributed
machine learning algorithms such as generalized linear models,
gradient boosting machines, random forests, and neural networks
(deep learning) within various cluster environments.
Author: Spencer Aiello, Tom Kraljevic and Petr Maj, with contributions from the
H2O.ai team
Maintainer: Tom Kraljevic <tomk@0xdata.com>
Diff between h2o versions 3.10.0.6 dated 2016-09-03 and 3.10.0.8 dated 2016-10-14
h2o-3.10.0.6/h2o/man/na.omit.Rd |only h2o-3.10.0.8/h2o/DESCRIPTION | 8 h2o-3.10.0.8/h2o/MD5 | 95 +++++---- h2o-3.10.0.8/h2o/NAMESPACE | 23 ++ h2o-3.10.0.8/h2o/R/classes.R | 17 + h2o-3.10.0.8/h2o/R/communication.R | 9 h2o-3.10.0.8/h2o/R/connection.R | 39 +-- h2o-3.10.0.8/h2o/R/deeplearning.R | 10 h2o-3.10.0.8/h2o/R/export.R | 2 h2o-3.10.0.8/h2o/R/frame.R | 292 +++++++++++++++++++++++++--- h2o-3.10.0.8/h2o/R/gbm.R | 106 +++++----- h2o-3.10.0.8/h2o/R/glm.R | 25 +- h2o-3.10.0.8/h2o/R/import.R | 3 h2o-3.10.0.8/h2o/R/kmeans.R | 23 +- h2o-3.10.0.8/h2o/R/kvstore.R | 84 +++++++- h2o-3.10.0.8/h2o/R/models.R | 109 ++++++++-- h2o-3.10.0.8/h2o/R/naivebayes.R | 9 h2o-3.10.0.8/h2o/R/parse.R | 2 h2o-3.10.0.8/h2o/R/randomforest.R | 88 ++++---- h2o-3.10.0.8/h2o/inst/buildnum.txt | 2 h2o-3.10.0.8/h2o/man/H2OConnection-class.Rd | 4 h2o-3.10.0.8/h2o/man/h2o-package.Rd | 4 h2o-3.10.0.8/h2o/man/h2o.as_date.Rd |only h2o-3.10.0.8/h2o/man/h2o.ascharacter.Rd |only h2o-3.10.0.8/h2o/man/h2o.asfactor.Rd |only h2o-3.10.0.8/h2o/man/h2o.asnumeric.Rd |only h2o-3.10.0.8/h2o/man/h2o.colnames.Rd |only h2o-3.10.0.8/h2o/man/h2o.columns_by_type.Rd |only h2o-3.10.0.8/h2o/man/h2o.deeplearning.Rd | 3 h2o-3.10.0.8/h2o/man/h2o.diff.Rd |only h2o-3.10.0.8/h2o/man/h2o.dim.Rd |only h2o-3.10.0.8/h2o/man/h2o.dimnames.Rd |only h2o-3.10.0.8/h2o/man/h2o.download_mojo.Rd |only h2o-3.10.0.8/h2o/man/h2o.download_pojo.Rd | 8 h2o-3.10.0.8/h2o/man/h2o.exportFile.Rd | 2 h2o-3.10.0.8/h2o/man/h2o.gbm.Rd | 94 ++++----- h2o-3.10.0.8/h2o/man/h2o.glm.Rd | 23 +- h2o-3.10.0.8/h2o/man/h2o.head.Rd | 12 - h2o-3.10.0.8/h2o/man/h2o.importFile.Rd | 5 h2o-3.10.0.8/h2o/man/h2o.init.Rd | 6 h2o-3.10.0.8/h2o/man/h2o.ischaracter.Rd |only h2o-3.10.0.8/h2o/man/h2o.isfactor.Rd |only h2o-3.10.0.8/h2o/man/h2o.isnumeric.Rd |only h2o-3.10.0.8/h2o/man/h2o.kmeans.Rd | 28 +- h2o-3.10.0.8/h2o/man/h2o.log10.Rd |only h2o-3.10.0.8/h2o/man/h2o.log1p.Rd |only h2o-3.10.0.8/h2o/man/h2o.log2.Rd |only h2o-3.10.0.8/h2o/man/h2o.median.Rd | 1 h2o-3.10.0.8/h2o/man/h2o.na_omit.Rd |only h2o-3.10.0.8/h2o/man/h2o.naiveBayes.Rd | 3 h2o-3.10.0.8/h2o/man/h2o.names.Rd |only h2o-3.10.0.8/h2o/man/h2o.parseRaw.Rd | 3 h2o-3.10.0.8/h2o/man/h2o.parseSetup.Rd | 3 h2o-3.10.0.8/h2o/man/h2o.partialPlot.Rd |only h2o-3.10.0.8/h2o/man/h2o.print.Rd |only h2o-3.10.0.8/h2o/man/h2o.randomForest.Rd | 74 +++---- h2o-3.10.0.8/h2o/man/h2o.str.Rd |only h2o-3.10.0.8/h2o/man/h2o.trunc.Rd |only h2o-3.10.0.8/h2o/man/plot.H2OModel.Rd | 33 +-- h2o-3.10.0.8/h2o/man/print.H2OFrame.Rd | 5 60 files changed, 900 insertions(+), 357 deletions(-)
Title: Identify Global Objects in R Expressions
Description: Identifies global ("unknown") objects in R expressions by code
inspection using various strategies, e.g. conservative or liberal. The objective
of this package is to make it as simple as possible to identify global objects
for the purpose of exporting them in distributed compute environments.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Diff between globals versions 0.7.0 dated 2016-09-08 and 0.7.1 dated 2016-10-14
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ NEWS | 8 ++++++++ R/Globals-class.R | 17 +++++++++++------ R/walkAST.R | 6 +++++- tests/Globals.R | 9 +++++++++ tests/walkAST.R | 1 + 7 files changed, 43 insertions(+), 16 deletions(-)
Title: A Tool to Downsize Large Workflows for Testing
Description: Toggles the test and production versions of a large workflow.
Author: William Landau [aut, cre]
Maintainer: William Landau <will.landau@gmail.com>
Diff between downsize versions 0.1.0 dated 2016-09-21 and 0.2.0 dated 2016-10-14
DESCRIPTION | 18 +++---- MD5 | 68 ++++++++++++++++------------ NAMESPACE | 16 ++++++ R/deprecated.R | 49 +++++++++++++++++++- R/help.R |only R/subset.R | 15 ++++-- R/ui.R | 85 +++++++++++++++++++----------------- R/utils.R | 21 +++++--- inst/doc/downsize.R | 26 +++++------ inst/doc/downsize.Rmd | 42 ++++++++--------- inst/doc/downsize.html | 50 ++++++++++----------- man/arg_small.Rd | 2 man/check_args.Rd | 2 man/check_downsized.Rd | 2 man/downsize.Rd | 11 ++-- man/downsize_error.Rd | 2 man/ds.Rd | 4 + man/help_downsize.Rd |only man/make_small.Rd | 2 man/my_mode.Rd |only man/production_mode.Rd |only man/scale_down.Rd | 11 +++- man/scale_up.Rd | 14 +++-- man/scaling.Rd | 14 +++-- man/should_downsize.Rd | 2 man/subset_dim.Rd | 2 man/subset_length.Rd | 2 man/subset_ncol.Rd | 2 man/subset_nrow.Rd | 2 man/subset_single_dim.Rd | 2 man/test_mode.Rd |only man/use_arg_small.Rd | 2 tests/testthat/test-deprecated.R |only tests/testthat/test-downsize.R | 12 ++--- tests/testthat/test-ds.R | 16 ++---- tests/testthat/test-help_downsize.R |only tests/testthat/test-my_mode.R |only tests/testthat/test-scaling.R | 6 +- vignettes/downsize.Rmd | 42 ++++++++--------- 39 files changed, 324 insertions(+), 220 deletions(-)
Title: Clustering Method Based on Local
Description: We developed the clues R package to provide functions
for automatically estimating the number of clusters and
getting the final cluster partition without any input
parameter except the stopping rule for convergence.
The package also provides functions to
evaluate and compare the performances of partitions of a data
set both numerically and graphically.
Author: Fang Chang [aut, ctb],
Weiliang Qiu [aut, cre],
Vincent Carey [aut, ctb],
Ruben H. Zamar [aut, ctb],
Ross Lazarus [aut, ctb],
Xiaogang Wang [aut, ctb]
Maintainer: Weiliang Qiu <stwxq@channing.harvard.edu>
Diff between clues versions 0.5.6 dated 2015-02-18 and 0.5.9 dated 2016-10-14
DESCRIPTION | 37 +++++++++++++++++++++++++------------ MD5 | 10 +++++----- NAMESPACE | 1 + NEWS | 16 ++++++++++++++-- R/view.R | 7 +++++-- src/clustering2.f95 | 16 +++++++++++++--- 6 files changed, 63 insertions(+), 24 deletions(-)