Title: Mining Association Rules and Frequent Itemsets
Diff between arules versions 1.1-4 dated 2014-07-26 and 1.1-5 dated 2014-08-19
Description: Provides the infrastructure for representing,
manipulating and analyzing transaction data and patterns (frequent
itemsets and association rules). Also provides interfaces to
C implementations of the association mining algorithms Apriori and Eclat
by C. Borgelt.
Author: Michael Hahsler [aut, cre, cph],
Christian Buchta [aut, cph],
Bettina Gruen [aut, cph],
Kurt Hornik [aut, cph],
Christian Borgelt [ctb, cph]
Maintainer: Michael Hahsler
DESCRIPTION | 8 ++++----
MD5 | 10 +++++-----
NAMESPACE | 5 +++--
R/AllClasses.R | 2 +-
inst/NEWS | 9 ++++++---
inst/doc/arules.pdf |binary
6 files changed, 19 insertions(+), 15 deletions(-)
Title: Model-based clustering and classification with the multivariate
t-distribution
Diff between teigen versions 2.0.1 dated 2013-10-03 and 2.0.7 dated 2014-08-19
Description: Fits mixtures of multivariate t-distributions (with eigen-decomposed covariance structure) via the multi-cycle ECM algorithm under a clustering or classification paradigm.
Author: Jeffrey L. Andrews, Paul D. McNicholas
Maintainer: Jeffrey L. Andrews
ChangeLog |only
DESCRIPTION | 10 +-
MD5 | 28 ++++---
R/estimateTime.R |only
R/modelgen.R |only
R/plot.teigen.R | 57 +++++++++++---
R/tagupdate.R | 5 +
R/teigen.R | 195 +++++++++++--------------------------------------
R/teigen.parallel.R | 36 +--------
R/tsgupdate.R | 2
R/yxf7.R | 22 +++--
R/yxf8.R |only
inst/CITATION | 6 -
man/plot.teigen.Rd | 13 ++-
man/teigen-package.Rd | 8 +-
man/teigen.Rd | 6 -
man/teigen.parallel.Rd | 6 -
17 files changed, 162 insertions(+), 232 deletions(-)
Title: A Laboratory for Recursive Partytioning
Diff between party versions 1.0-15 dated 2014-06-30 and 1.0-16 dated 2014-08-19
Description: A computational toolbox for recursive partitioning.
The core of the package is ctree(), an implementation of
conditional inference trees which embed tree-structured
regression models into a well defined theory of conditional
inference procedures. This non-parametric class of regression
trees is applicable to all kinds of regression problems, including
nominal, ordinal, numeric, censored as well as multivariate response
variables and arbitrary measurement scales of the covariates.
Based on conditional inference trees, cforest() provides an
implementation of Breiman's random forests. The function mob()
implements an algorithm for recursive partitioning based on
parametric models (e.g. linear models, GLMs or survival
regression) employing parameter instability tests for split
selection. Extensible functionality for visualizing tree-structured
regression models is available.
Author: Torsten Hothorn [aut, cre],
Kurt Hornik [aut],
Carolin Strobl [aut],
Achim Zeileis [aut]
Maintainer: Torsten Hothorn
DESCRIPTION | 9 +++++----
MD5 | 16 ++++++++--------
NAMESPACE | 1 +
R/MOB-Plot.R | 9 +++++----
R/varimp.R | 4 ++--
inst/NEWS | 5 +++++
inst/doc/MOB.pdf |binary
inst/doc/party.pdf |binary
tests/Examples/party-Ex.Rout.save | 10 ++++------
9 files changed, 30 insertions(+), 24 deletions(-)
Title: Extending R's dendrogram functionality
Diff between dendextend versions 0.16.1 dated 2014-07-26 and 0.17.1 dated 2014-08-19
Description: The dendextend package offers a set of functions for extending
dendrogram objects in R, letting you visualize and compare trees of
hierarchical clusterings. You can (1) Adjust a trees graphical parameters
- the color, size, type, etc of its branches, nodes and labels. (2)
Visually and statistically compare different dendrograms to one another.
Author: Tal Galili [aut, cre, cph] (http://www.r-statistics.com),
Gavin Simpson [ctb],
Gregory Jefferis [ctb] (imported code from his dendroextras package),
Marco Gallotta [ctb] (a.k.a: marcog),
Johan Renaudie [ctb] (https://github.com/plannapus),
R core team [ctb] (Thanks for the Infastructure, and code in the
examples),
Kurt Hornik [ctb],
Uwe Ligges [ctb],
Andrej-Nikolai Spiess [ctb],
Steve Horvath [ctb],
Peter Langfelder [ctb],
skullkey [ctb],
Mark Van Der Loo [ctb] (https://github.com/markvanderloo d3dendrogram),
Yoav Benjamini [ths]
Maintainer: Tal Galili
dendextend-0.16.1/dendextend/R/trim.R |only
dendextend-0.17.1/dendextend/ChangeLog | 635 +++++++
dendextend-0.17.1/dendextend/DESCRIPTION | 52
dendextend-0.17.1/dendextend/MD5 | 206 +-
dendextend-0.17.1/dendextend/NAMESPACE | 10
dendextend-0.17.1/dendextend/NEWS | 373 ++--
dendextend-0.17.1/dendextend/R/DendSer.R |only
dendextend-0.17.1/dendextend/R/as.dendrogram.randomForest.R | 2
dendextend-0.17.1/dendextend/R/attr_access.R | 179 +
dendextend-0.17.1/dendextend/R/bk_method.R | 60
dendextend-0.17.1/dendextend/R/branches_attr_by.R | 133 +
dendextend-0.17.1/dendextend/R/color_branches.R | 116 +
dendextend-0.17.1/dendextend/R/colored_bars.R | 51
dendextend-0.17.1/dendextend/R/cor_bakers_gamma.R | 14
dendextend-0.17.1/dendextend/R/cor_cophenetic.R | 4
dendextend-0.17.1/dendextend/R/cut_lower_fun.R | 18
dendextend-0.17.1/dendextend/R/cutree.dendrogram.R | 55
dendextend-0.17.1/dendextend/R/d3dendrogram.R | 161 +
dendextend-0.17.1/dendextend/R/dendextend-package.R | 2
dendextend-0.17.1/dendextend/R/dendextend_options.R |only
dendextend-0.17.1/dendextend/R/dendlist.R | 17
dendextend-0.17.1/dendextend/R/entanglement.R | 7
dendextend-0.17.1/dendextend/R/get_nodes_xy.R |only
dendextend-0.17.1/dendextend/R/labels.R | 6
dendextend-0.17.1/dendextend/R/labels_colors.R | 8
dendextend-0.17.1/dendextend/R/nleaves.R | 10
dendextend-0.17.1/dendextend/R/noded_with_condition.R | 109 -
dendextend-0.17.1/dendextend/R/prune.R |only
dendextend-0.17.1/dendextend/R/pvclust.R | 407 ++++
dendextend-0.17.1/dendextend/R/rainbow_fun.R |only
dendextend-0.17.1/dendextend/R/rect.dendrogram.R | 53
dendextend-0.17.1/dendextend/R/rotate.R | 6
dendextend-0.17.1/dendextend/R/set.dendrogram.R | 47
dendextend-0.17.1/dendextend/R/tanglegram.R | 15
dendextend-0.17.1/dendextend/R/unbranch.R | 16
dendextend-0.17.1/dendextend/R/untangle.R | 178 -
dendextend-0.17.1/dendextend/R/zzz.R | 142 -
dendextend-0.17.1/dendextend/README.md | 7
dendextend-0.17.1/dendextend/TODO | 12
dendextend-0.17.1/dendextend/build |only
dendextend-0.17.1/dendextend/demo/dendextend.R | 2
dendextend-0.17.1/dendextend/inst/doc |only
dendextend-0.17.1/dendextend/inst/tests/test-attr_access.R | 371 ++--
dendextend-0.17.1/dendextend/inst/tests/test-bk_method.R | 2
dendextend-0.17.1/dendextend/inst/tests/test-branches_attr_by.R |only
dendextend-0.17.1/dendextend/inst/tests/test-cor_bakers_gamma.R | 2
dendextend-0.17.1/dendextend/inst/tests/test-cor_cophenetic.R | 2
dendextend-0.17.1/dendextend/inst/tests/test-cut_lower_fun.R | 8
dendextend-0.17.1/dendextend/inst/tests/test-cutree.dendrogram.R | 903 +++++-----
dendextend-0.17.1/dendextend/inst/tests/test-dendlist.R | 2
dendextend-0.17.1/dendextend/inst/tests/test-entanglement.R | 281 +--
dendextend-0.17.1/dendextend/inst/tests/test-general.R |only
dendextend-0.17.1/dendextend/inst/tests/test-labels-assign.R | 2
dendextend-0.17.1/dendextend/inst/tests/test-labels_colors.R | 2
dendextend-0.17.1/dendextend/inst/tests/test-nleaves.R | 2
dendextend-0.17.1/dendextend/inst/tests/test-rotate.R | 4
dendextend-0.17.1/dendextend/inst/tests/test-set.dendrogram.R | 41
dendextend-0.17.1/dendextend/inst/tests/test-trim.R | 4
dendextend-0.17.1/dendextend/inst/tests/test-unbranch.R | 93 -
dendextend-0.17.1/dendextend/inst/tests/test-untangle.R | 4
dendextend-0.17.1/dendextend/man/Bk.Rd | 9
dendextend-0.17.1/dendextend/man/Bk_permutations.Rd | 7
dendextend-0.17.1/dendextend/man/Bk_plot.Rd | 10
dendextend-0.17.1/dendextend/man/DendSer.dendrogram.Rd | 4
dendextend-0.17.1/dendextend/man/FM_index.Rd | 8
dendextend-0.17.1/dendextend/man/FM_index_R.Rd | 6
dendextend-0.17.1/dendextend/man/FM_index_permutation.Rd | 9
dendextend-0.17.1/dendextend/man/FM_index_profdpm.Rd | 6
dendextend-0.17.1/dendextend/man/all_unique.Rd |only
dendextend-0.17.1/dendextend/man/assign_values_to_branches_edgePar.Rd | 14
dendextend-0.17.1/dendextend/man/assign_values_to_leaves_nodePar.Rd | 17
dendextend-0.17.1/dendextend/man/assign_values_to_nodes_nodePar.Rd |only
dendextend-0.17.1/dendextend/man/branches_attr_by_clusters.Rd | 8
dendextend-0.17.1/dendextend/man/branches_attr_by_labels.Rd | 8
dendextend-0.17.1/dendextend/man/color_branches.Rd | 18
dendextend-0.17.1/dendextend/man/color_labels.Rd | 7
dendextend-0.17.1/dendextend/man/colored_bars.Rd | 22
dendextend-0.17.1/dendextend/man/cor_bakers_gamma.Rd | 8
dendextend-0.17.1/dendextend/man/cor_cophenetic.Rd | 2
dendextend-0.17.1/dendextend/man/cut_lower_fun.Rd | 14
dendextend-0.17.1/dendextend/man/cutree-methods.Rd | 17
dendextend-0.17.1/dendextend/man/cutree_1h.dendrogram.Rd | 8
dendextend-0.17.1/dendextend/man/cutree_1k.dendrogram.Rd | 10
dendextend-0.17.1/dendextend/man/d3dendro_options.Rd |only
dendextend-0.17.1/dendextend/man/d3dendrogram.Rd |only
dendextend-0.17.1/dendextend/man/dendextend_options.Rd | 6
dendextend-0.17.1/dendextend/man/dendlist.Rd | 2
dendextend-0.17.1/dendextend/man/entanglement.Rd | 7
dendextend-0.17.1/dendextend/man/get_branches_attr.Rd | 7
dendextend-0.17.1/dendextend/man/get_branches_heights.Rd | 4
dendextend-0.17.1/dendextend/man/get_nodes_attr.Rd | 8
dendextend-0.17.1/dendextend/man/get_nodes_xy.Rd |only
dendextend-0.17.1/dendextend/man/heights_per_k.dendrogram.Rd | 2
dendextend-0.17.1/dendextend/man/intersect_trees.Rd | 10
dendextend-0.17.1/dendextend/man/na_locf.Rd | 4
dendextend-0.17.1/dendextend/man/noded_with_condition.Rd | 4
dendextend-0.17.1/dendextend/man/pvclust_show_signif.Rd |only
dendextend-0.17.1/dendextend/man/pvclust_show_signif_gradient.Rd |only
dendextend-0.17.1/dendextend/man/rect.dendrogram.Rd | 22
dendextend-0.17.1/dendextend/man/rotate_DendSer.Rd | 4
dendextend-0.17.1/dendextend/man/set.Rd | 31
dendextend-0.17.1/dendextend/man/sort_2_clusters_vectors.Rd | 6
dendextend-0.17.1/dendextend/man/sort_levels_values.Rd | 8
dendextend-0.17.1/dendextend/man/tanglegram.Rd | 7
dendextend-0.17.1/dendextend/man/untangle.Rd | 4
dendextend-0.17.1/dendextend/man/untangle_DendSer.Rd | 2
dendextend-0.17.1/dendextend/man/untangle_random_search.Rd | 4
dendextend-0.17.1/dendextend/man/untangle_step_rotate_1side.Rd | 19
dendextend-0.17.1/dendextend/man/untangle_step_rotate_2side.Rd | 4
dendextend-0.17.1/dendextend/man/which_leaf.Rd | 4
dendextend-0.17.1/dendextend/vignettes |only
111 files changed, 3451 insertions(+), 1766 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-05-14 1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-10-22 0.4
2013-08-27 0.03
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-02-08 1.4
2012-09-04 1.3
Title: Rcpp integration for Armadillo templated linear algebra library
Diff between RcppArmadillo versions 0.4.320.0 dated 2014-07-03 and 0.4.400.0 dated 2014-08-19
Description: R and Armadillo integration using Rcpp
Armadillo is a templated C++ linear algebra library (by Conrad Sanderson)
that aims towards a good balance between speed and ease of use. Integer,
floating point and complex numbers are supported, as well as a subset of
trigonometric and statistics functions. Various matrix decompositions are
provided through optional integration with LAPACK and ATLAS libraries.
A delayed evaluation approach is employed (during compile time) to combine
several operations into one, and to reduce (or eliminate) the need for
temporaries. This is accomplished through recursive templates and template
meta-programming.
This library is useful if C++ has been decided as the language of choice
(due to speed and/or integration capabilities), rather than another language.
The RcppArmadillo package includes the header files from the templated
Armadillo library. Thus users do not need to install Armadillo itself in
order to use RcppArmadillo.
This Armadillo integration provides a nice illustration of the
capabilities of the Rcpp package for seamless R and C++ integration.
Armadillo is licensed under the MPL 2.0, while RcppArmadillo (the Rcpp
bindings/bridge to Armadillo) is licensed under the GNU GPL version 2
or later, as is the rest of Rcpp.
Author: Romain Francois, Dirk Eddelbuettel and Doug Bates
Maintainer: Dirk Eddelbuettel
ChangeLog | 33 +
DESCRIPTION | 10
MD5 | 99 +--
build/vignette.rds |binary
inst/NEWS.Rd | 18
inst/doc/RcppArmadillo-intro.pdf |binary
inst/doc/RcppArmadillo-unitTests.R | 12
inst/doc/RcppArmadillo-unitTests.Rnw | 12
inst/doc/RcppArmadillo-unitTests.pdf |binary
inst/include/RcppArmadilloAs.h | 28
inst/include/armadillo | 20
inst/include/armadillo_bits/Base_bones.hpp | 9
inst/include/armadillo_bits/Base_meat.hpp | 88 ++
inst/include/armadillo_bits/Cube_bones.hpp | 2
inst/include/armadillo_bits/Mat_bones.hpp | 89 ++
inst/include/armadillo_bits/Mat_meat.hpp | 448 +++++++++++++-
inst/include/armadillo_bits/SpBase_bones.hpp | 9
inst/include/armadillo_bits/SpBase_meat.hpp | 88 ++
inst/include/armadillo_bits/SpMat_bones.hpp | 91 +-
inst/include/armadillo_bits/SpMat_iterators_meat.hpp | 106 ++-
inst/include/armadillo_bits/SpMat_meat.hpp | 564 +++++++++---------
inst/include/armadillo_bits/arma_ostream_meat.hpp | 24
inst/include/armadillo_bits/arma_version.hpp | 4
inst/include/armadillo_bits/compiler_setup.hpp | 4
inst/include/armadillo_bits/diskio_meat.hpp | 2
inst/include/armadillo_bits/fn_as_scalar.hpp | 2
inst/include/armadillo_bits/fn_clamp.hpp |only
inst/include/armadillo_bits/forward_bones.hpp | 1
inst/include/armadillo_bits/gmm_diag_bones.hpp |only
inst/include/armadillo_bits/gmm_diag_meat.hpp |only
inst/include/armadillo_bits/gmm_misc_bones.hpp |only
inst/include/armadillo_bits/gmm_misc_meat.hpp |only
inst/include/armadillo_bits/mtOp_bones.hpp | 12
inst/include/armadillo_bits/mtOp_meat.hpp | 12
inst/include/armadillo_bits/op_clamp_bones.hpp |only
inst/include/armadillo_bits/op_clamp_meat.hpp |only
inst/include/armadillo_bits/op_dot_meat.hpp | 37 -
inst/include/armadillo_bits/op_max_bones.hpp | 10
inst/include/armadillo_bits/op_max_meat.hpp | 174 +++++
inst/include/armadillo_bits/op_min_bones.hpp | 10
inst/include/armadillo_bits/op_min_meat.hpp | 178 +++++
inst/include/armadillo_bits/running_stat_meat.hpp | 2
inst/include/armadillo_bits/running_stat_vec_meat.hpp | 4
inst/include/armadillo_bits/spop_max_bones.hpp | 21
inst/include/armadillo_bits/spop_max_meat.hpp | 504 ++++++++++++----
inst/include/armadillo_bits/spop_min_bones.hpp | 21
inst/include/armadillo_bits/spop_min_meat.hpp | 504 ++++++++++++----
inst/include/armadillo_bits/subview_cube_bones.hpp | 7
inst/include/armadillo_bits/subview_cube_meat.hpp | 164 +++--
inst/include/armadillo_bits/subview_field_meat.hpp | 21
inst/include/armadillo_bits/subview_meat.hpp | 108 +--
inst/include/armadillo_bits/unwrap.hpp | 3
inst/unitTests/cpp/sparse.cpp |only
inst/unitTests/runit.sparse.R |only
vignettes/RcppArmadillo-unitTests.Rnw | 12
55 files changed, 2750 insertions(+), 817 deletions(-)
Title: R package for parallelized mRMR ensemble feature selection
Diff between mRMRe versions 2.0.4 dated 2013-12-10 and 2.0.5 dated 2014-08-19
Description: This package contains a set of function to compute mutual information matrices from continuous, categorical and survival variables. It also contains function to perform feature selection with mRMR and a new ensemble mRMR technique.
Author: Nicolas De Jay, Simon Papillon-Cavanagh, Catharina Olsen, Gianluca Bontempi, Benjamin Haibe-Kains
Maintainer: Benjamin Haibe-Kains
DESCRIPTION | 13 ++++-----
MD5 | 60 +++++++++++++++++++++++----------------------
NAMESPACE | 5 +++
README |only
TODO |only
build/vignette.rds |binary
data/cgps.rda |binary
inst/doc/mRMRe.R | 26 +++++++++----------
inst/doc/mRMRe.Rnw | 23 +++++++----------
inst/doc/mRMRe.pdf |binary
man/adjacencyMatrix.Rd | 2 -
man/causality.Rd | 1
man/cgps.Rd | 1
man/correlate.Rd | 1
man/featureCount.Rd | 1
man/featureData.Rd | 1
man/featureNames.Rd | 1
man/mRMRe.Data-class.Rd | 2 +
man/mRMRe.Filter-class.Rd | 2 +
man/mRMRe.Network-class.Rd | 2 +
man/mim.Rd | 1
man/priors.Rd | 1
man/sampleCount.Rd | 1
man/sampleNames.Rd | 1
man/sampleStrata.Rd | 1
man/sampleWeights.Rd | 1
man/scores.Rd | 1
man/solutions.Rd | 1
man/subsetData.Rd | 1
man/target.Rd | 1
man/visualize.Rd | 2 -
vignettes/mRMRe.Rnw | 23 +++++++----------
32 files changed, 98 insertions(+), 78 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-05-06 1.2-6
2012-04-04 1.2-5
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-11-08 1.0.5
2012-07-20 1.0.4
2012-07-12 1.0.3
2012-04-27 1.0.2
2012-04-24 1.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-02-23 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-01-27 0.0.8
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-05-22 1.0.3
2012-04-13 1.0.2
2012-03-30 1.0.1
2011-09-10 1.0.0
2011-08-04 0.9.1
2010-11-30 0.9
2010-11-17 0.8
2010-11-09 0.6
2010-11-07 0.5
2010-10-26 0.4
2010-10-15 0.3
2010-10-01 0.2
2010-06-25 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-09-09 1.2.2
2012-12-13 1.2.1
2012-08-30 1.2
2012-07-02 1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2011-11-14 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-06-21 1.2.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-02-20 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-01-04 1.0.5
2011-12-14 1.0.4
2011-12-05 1.0.3
2011-10-25 1.0.2
2010-08-31 1.0.1
Title: Spartan (Simulation Parameter Analysis R Toolkit ApplicatioN)
Diff between spartan versions 2.0 dated 2014-07-22 and 2.1 dated 2014-08-19
Description: Computer simulations are becoming a popular technique to use in attempts to further our understanding of complex systems. SPARTAN, described in our 2013 publication in PLoS Computational Biology, provides code for four techniques described in available literature which aid the analysis of simulation results, at both single and multiple timepoints in the simulation run. The first technique addresses aleatory uncertainty in the system caused through inherent stochasticity, and determines the number of replicate runs necessary to generate a representative result. The second examines how robust a simulation is to parameter perturbation, through the use of a one-at-a-time parameter analysis technique. Thirdly, a latin hypercube based sensitivity analysis technique is included which can elucidate non-linear effects between parameters and indicate implications of epistemic uncertainty with reference to the system being modelled. Finally, a further sensitivity analysis technique, the extended Fourier Amplitude Sampling Test (eFAST) has been included to partition the variance in simulation results between input parameters, to determine the parameters which have a significant effect on simulation behaviour. Version 1.3 adds support for Netlogo simulations, aiding simulation developers who use Netlogo to build their simulations perform the same analyses. We have also added user support through the group spartan-group[AT]york[DOT]ac[DOT]uk. Version 2.0 added the ability to read all simulations in from a single CSV file in addition to the prescribed folder structure in previous versions.
Author: Kieran Alden, Mark Read, Paul Andrews, Jon Timmis, Henrique Veiga-Fernandes, Mark Coles
Maintainer: Kieran Alden
spartan |only
1 file changed
Title: A Handbook of Statistical Analyses Using R (3rd Edition)
Diff between HSAUR3 versions 1.0-1 dated 2014-06-26 and 1.0-2 dated 2014-08-19
Description: Functions, data sets, analyses and examples from the
third edition of the book
`A Handbook of Statistical Analyses Using R' (Torsten Hothorn and Brian S.
Everitt, Chapman & Hall/CRC, 2014). The first chapter
of the book, which is entitled `An Introduction to R',
is completely included in this package, for all other chapters,
a vignette containing all data analyses is available. In addition,
Sweave source code for slides of selected chapters is included in
this package (see HSAUR3/inst/slides).
Author: Brian S. Everitt and Torsten Hothorn
Maintainer: Torsten Hothorn
DESCRIPTION | 8 -
MD5 | 132 +++++++++++++-------------
NAMESPACE | 1
build/vignette.rds |binary
data/BCG.rda |binary
data/CYGOB1.rda |binary
data/Lanza.rda |binary
data/birthdeathrates.rda |binary
data/bladdercancer.rda |binary
data/epilepsy.rda |binary
data/foster.rda |binary
data/heptathlon.rda |binary
data/meteo.rda |binary
data/orallesions.rda |binary
data/phosphate.rda |binary
data/pistonrings.rda |binary
data/planets.rda |binary
data/plasma.rda |binary
data/polyps.rda |binary
data/rearrests.rda |binary
data/roomwidth.rda |binary
data/schizophrenia.rda |binary
data/schizophrenia2.rda |binary
data/smoking.rda |binary
data/students.rda |binary
data/suicides.rda |binary
data/toothpaste.rda |binary
data/voting.rda |binary
data/water.rda |binary
data/watervoles.rda |binary
data/waves.rda |binary
data/weightgain.rda |binary
inst/NEWS | 6 +
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inst/doc/Ch_survival_analysis.pdf |binary
vignettes/Ch_bayesian_inference.Rnw | 33 +++---
vignettes/Ch_cluster_analysis.Rnw | 2
vignettes/Ch_density_estimation.Rnw | 2
vignettes/Ch_graphical_display.Rnw | 6 -
vignettes/Ch_introduction_to_R.Rnw | 2
vignettes/Ch_quantile_regression.Rnw | 8 -
67 files changed, 131 insertions(+), 122 deletions(-)
Title: A Handbook of Statistical Analyses Using R (2nd Edition)
Diff between HSAUR2 versions 1.1-10 dated 2014-06-24 and 1.1-11 dated 2014-08-19
Description: Functions, data sets, analyses and examples from the
second edition of the book
`A Handbook of Statistical Analyses Using R' (Brian S. Everitt and Torsten
Hothorn, Chapman & Hall/CRC, 2008). The first chapter
of the book, which is entitled `An Introduction to R',
is completely included in this package, for all other chapters,
a vignette containing all data analyses is available. In addition,
the package contains Sweave code for producing slides for selected
chapters (see HSAUR2/inst/slides).
Author: Brian S. Everitt and Torsten Hothorn
Maintainer: Torsten Hothorn
DESCRIPTION | 8 +-
MD5 | 102 +++++++++++++-------------
NAMESPACE | 1
build/vignette.rds |binary
data/BCG.rda |binary
data/CYGOB1.rda |binary
data/Lanza.rda |binary
data/birthdeathrates.rda |binary
data/bladdercancer.rda |binary
data/epilepsy.rda |binary
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data/orallesions.rda |binary
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inst/doc/Ch_cluster_analysis.pdf |binary
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inst/doc/Ch_errata.pdf |binary
inst/doc/Ch_gam.pdf |binary
inst/doc/Ch_graphical_display.pdf |binary
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inst/doc/Ch_logistic_regression_glm.pdf |binary
inst/doc/Ch_meta_analysis.pdf |binary
inst/doc/Ch_multidimensional_scaling.pdf |binary
inst/doc/Ch_multiple_linear_regression.pdf |binary
inst/doc/Ch_principal_components_analysis.pdf |binary
inst/doc/Ch_recursive_partitioning.pdf |binary
inst/doc/Ch_simple_inference.pdf |binary
inst/doc/Ch_simultaneous_inference.pdf |binary
inst/doc/Ch_survival_analysis.pdf |binary
52 files changed, 61 insertions(+), 55 deletions(-)
Title: A Handbook of Statistical Analyses Using R
Diff between HSAUR versions 1.3-3 dated 2013-09-03 and 1.3-4 dated 2014-08-19
Description: Functions, data sets, analyses and examples from the book
`A Handbook of Statistical Analyses Using R' (Brian S. Everitt and Torsten
Hothorn, Chapman & Hall/CRC, 2006). The first chapter
of the book, which is entitled `An Introduction to R',
is completely included in this package, for all other chapters,
a vignette containing all data analyses is available.
Author: Brian S. Everitt and Torsten Hothorn
Maintainer: Torsten Hothorn
HSAUR-1.3-3/HSAUR/inst/CHANGES |only
HSAUR-1.3-4/HSAUR/DESCRIPTION | 16 +--
HSAUR-1.3-4/HSAUR/MD5 | 47 +++++-----
HSAUR-1.3-4/HSAUR/NAMESPACE | 1
HSAUR-1.3-4/HSAUR/build |only
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HSAUR-1.3-4/HSAUR/inst/doc/Ch_analysing_longitudinal_dataI.pdf |binary
HSAUR-1.3-4/HSAUR/inst/doc/Ch_analysing_longitudinal_dataII.pdf |binary
HSAUR-1.3-4/HSAUR/inst/doc/Ch_analysis_of_variance.pdf |binary
HSAUR-1.3-4/HSAUR/inst/doc/Ch_cluster_analysis.pdf |binary
HSAUR-1.3-4/HSAUR/inst/doc/Ch_conditional_inference.pdf |binary
HSAUR-1.3-4/HSAUR/inst/doc/Ch_density_estimation.pdf |binary
HSAUR-1.3-4/HSAUR/inst/doc/Ch_errata.pdf |binary
HSAUR-1.3-4/HSAUR/inst/doc/Ch_introduction_to_R.pdf |binary
HSAUR-1.3-4/HSAUR/inst/doc/Ch_logistic_regression_glm.pdf |binary
HSAUR-1.3-4/HSAUR/inst/doc/Ch_meta_analysis.pdf |binary
HSAUR-1.3-4/HSAUR/inst/doc/Ch_multidimensional_scaling.pdf |binary
HSAUR-1.3-4/HSAUR/inst/doc/Ch_multiple_linear_regression.pdf |binary
HSAUR-1.3-4/HSAUR/inst/doc/Ch_principal_components_analysis.pdf |binary
HSAUR-1.3-4/HSAUR/inst/doc/Ch_recursive_partitioning.pdf |binary
HSAUR-1.3-4/HSAUR/inst/doc/Ch_simple_inference.pdf |binary
HSAUR-1.3-4/HSAUR/inst/doc/Ch_survival_analysis.pdf |binary
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28 files changed, 41 insertions(+), 31 deletions(-)
Title: Straightforward BibTeX and BibLaTeX Bibliography Management
Diff between RefManageR versions 0.8.32 dated 2014-08-15 and 0.8.34 dated 2014-08-19
Description: RefManageR provides tools for importing and working with
bibliographic references. It greatly enhances the bibentry class by
providing a class BibEntry which stores BibTeX and BibLaTeX references,
supports UTF-8 encoding, and can be easily searched by any field, by date
ranges, and by various formats for name lists (author by last names,
translator by full names, etc.). Entries can be updated, combined, sorted,
printed in a number of styles, and exported. BibTeX and BibLaTeX .bib files
can be read into R and converted to BibEntry objects. Interfaces to NCBI's
Entrez, CrossRef, and Zotero are provided for importing references and
references can be created from locally stored PDFs using Poppler. Includes
functions for citing and generating a bibliography with hyperlinks for
documents prepared with RMarkdown or RHTML.
Author: Mathew W. McLean [aut, cre]
Maintainer: Mathew W. McLean
DESCRIPTION | 8 ++++----
MD5 | 24 +++++++++++++-----------
NAMESPACE | 4 ++++
R/GetDOIs.R |only
R/ReadCrossRef.R | 6 +++---
R/ReadPubMed.R | 27 +++++++++++++++++++++++++--
inst/NEWS | 18 +++++++++++++++++-
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man/GetPubMedRelated.Rd | 6 +++---
man/LookupPubMedID.Rd | 3 ++-
man/ReadCrossRef.Rd | 8 +++++---
man/ReadPubMed.Rd | 3 ++-
14 files changed, 80 insertions(+), 30 deletions(-)
More information about RcmdrPlugin.EcoVirtual at CRAN
Permanent link
Title: Estimation of indicators on social exclusion and poverty
Diff between laeken versions 0.4.5 dated 2013-08-18 and 0.4.6 dated 2014-08-19
Description: Estimation of indicators on social exclusion and poverty, as well
as Pareto tail modeling for empirical income distributions.
Author: Andreas Alfons [aut, cre],
Josef Holzer [aut],
Matthias Templ [aut]
Maintainer: Andreas Alfons
DESCRIPTION | 8 -
MD5 | 107 ++++++++++----------
NAMESPACE | 4
NEWS | 110 +++++++++++---------
R/bootVar.R | 169 ++++++++++++++++++--------------
R/calibVars.R | 22 ++--
R/paretoScale.R | 40 +++----
R/paretoTail.R | 204 +++++++++++++++++++-------------------
R/prop.R |only
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data/eusilc.RData |binary
data/ses.RData |binary
inst/doc/laeken-intro.pdf |binary
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inst/doc/laeken-standard.pdf |binary
inst/doc/laeken-variance.pdf |binary
man/arpr.Rd | 214 ++++++++++++++++++----------------------
man/arpt.Rd | 137 ++++++++++++--------------
man/bootVar.Rd | 226 +++++++++++++++++++------------------------
man/calibVars.Rd | 73 ++++++-------
man/calibWeights.Rd | 186 ++++++++++++++++-------------------
man/eqInc.Rd | 181 ++++++++++++++++------------------
man/eqSS.Rd | 114 ++++++++++-----------
man/fitPareto.Rd | 211 ++++++++++++++++++----------------------
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man/incMean.Rd | 96 ++++++++----------
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man/incQuintile.Rd | 136 +++++++++++--------------
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man/minAMSE.Rd | 217 +++++++++++++++++++----------------------
man/paretoQPlot.Rd | 151 ++++++++++++----------------
man/paretoScale.Rd | 109 +++++++++-----------
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man/prop.Rd |only
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man/variance.Rd | 164 +++++++++++++------------------
man/weightedMean.Rd | 75 +++++++-------
man/weightedMedian.Rd | 93 ++++++++---------
man/weightedQuantile.Rd | 102 +++++++++----------
56 files changed, 2814 insertions(+), 3131 deletions(-)
Title: Measuring functional diversity (FD) from multiple traits, and
other tools for functional ecology
Diff between FD versions 1.0-11 dated 2011-03-21 and 1.0-12 dated 2014-08-19
Description: FD is a package to compute different multidimensional FD indices. It implements a distance-based framework to measure FD that allows any number and type of functional traits, and can also consider species relative abundances. It also contains other useful tools for functional ecology.
Author: Etienne Laliberté, Pierre Legendre, Bill Shipley
Maintainer: Etienne Laliberté
DESCRIPTION | 17 +++----
MD5 |only
NAMESPACE | 8 ++-
R/dbFD.R | 2
R/mahaldis.R |only
R/maxent.R | 7 +--
inst/CITATION | 10 ++--
inst/NEWS | 123 ++++++++++++++++++++++++++++--------------------------
man/FD-package.Rd | 6 +-
man/mahaldis.Rd |only
10 files changed, 90 insertions(+), 83 deletions(-)
Title: The Right Editor to Write R
Diff between rite versions 0.3.1 dated 2014-02-24 and 0.3.4 dated 2014-08-19
Description: A simple yet powerful script editor built natively in R with tcltk.
Author: Thomas J. Leeper
Maintainer: Thomas J. Leeper
DESCRIPTION | 11 -
MD5 | 12 -
NAMESPACE | 2
NEWS | 8
R/rite.r | 584 +++++++++++++++++++++++++++++++++++-------------------------
README.md | 20 +-
man/rite.Rd | 66 +++---
7 files changed, 412 insertions(+), 291 deletions(-)
Title: R Commander Plug-in for the EZR (Easy R) Package
Diff between RcmdrPlugin.EZR versions 1.24 dated 2014-04-22 and 1.25 dated 2014-08-19
More information about RcmdrPlugin.EZR at CRAN
Description: EZR (Easy R) adds a variety of statistical functions, including survival analyses, ROC analyses, metaanalyses, sample size calculation, and so on, to the R commander. EZR enables point-and-click easy access to statistical functions, especially for medical statistics. EZR is platform-independent and runs on Windows, Mac OS X, and UNIX. Its complete manual is available only in Japanese (Chugai Igakusha, ISBN-10: 4498109007), but an report that introduced the investigation of EZR was published in Bone Marrow Transplantation (Nature Publishing Group) as an Open article. This report can be used as a simple manual. It can be freely downloaded from the journal website as shown below.
Author: Yoshinobu Kanda
Maintainer: Yoshinobu Kanda
DESCRIPTION | 8
MD5 | 21 -
NEWS | 10
R/EZR.R | 310 ++++++++++++++++++++++++----
inst/CHANGES | 8
inst/doc/EZR.html |only
inst/etc/menus.txt | 7
inst/po/ja/LC_MESSAGES/R-RcmdrPlugin.EZR.mo |binary
man/EZR.Rd | 4
man/EZR.dialogs.Rd | 3
man/Mantel.Byar.Rd | 6
po/R-RcmdrPlugin.EZR.po | 28 ++
12 files changed, 341 insertions(+), 64 deletions(-)
Permanent link
Title: Simulation of Diffusion Processes
Diff between Sim.DiffProc versions 2.7 dated 2014-07-13 and 2.8 dated 2014-08-19
Description: The package Sim.DiffProc is an object created in R environment for simulation and modeling of stochastic differential equations (SDE's) the type Ito and Stratonovich. This package contains many objects, the numerical methods to find the solutions to SDE's (1, 2 and 3-dim), with a possibility for simulates a flows trajectories,with good accuracy. Many theoretical problems on the SDE's have become the object of practical research, as statistical analysis and simulation of solution of SDE's, enabled many searchers in different domains to use these equations to modeling and to analyse practical problems, in financial and actuarial modeling and other areas of application, for example modelling and simulate of dispersion in shallow water using the attractive center (Boukhetala K, 1996). We hope that the package presented here and the updated survey on the subject might be of help for practitioners, postgraduate and PhD students, and researchers in the field who might want to implement new methods.
Author: Arsalane Chouaib Guidoum, Kamal Boukhetala
Maintainer: Arsalane Chouaib Guidoum
DESCRIPTION | 16 -
LICENCE | 2
MD5 | 111 ++++---
NAMESPACE | 62 +++-
NEWS | 47 +--
R/ABM.R | 2
R/BB.R | 2
R/BM.R | 2
R/Euler.R | 135 ++-------
R/GBM.R | 2
R/HWV.R | 2
R/Heun.R | 159 +++-------
R/Milstein.R | 123 ++------
R/OU.R | 2
R/PredCorr.R | 129 ++------
R/RK.R | 177 ++----------
R/SMilstein.R | 150 ++--------
R/STS.R | 172 ++++-------
R/bridgesde.R | 78 +++--
R/fitsde.R | 2
R/ftpsde.R | 401 +++++++++++++++------------
R/rsde.R | 263 ++++++++++--------
R/snssde.R | 637 ++++++++++++++++++++++++++++++++------------
R/st.int.R | 2
R/utils.R | 602 ++++++++++++++++++++++++++++++++++++++++-
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inst/doc/FitSDE.pdf |binary
inst/doc/Introduction.Rnw | 4
inst/doc/Introduction.pdf |binary
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inst/doc/SDEs.pdf |binary
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man/bridgesde1d.Rd | 7
man/bridgesde2d.Rd | 26 -
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man/fptsde2d.Rd | 97 ++----
man/fptsde3d.Rd | 107 +++----
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man/rsde2d.Rd | 51 +--
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man/snssde1d.Rd | 27 -
man/snssde2d.Rd | 82 +++--
man/snssde3d.Rd | 99 +++---
src |only
tests/bridgesde.R | 16 -
tests/fptsde.R | 42 +-
tests/rsde.R | 47 ---
tests/sde.R | 52 +--
vignettes/Core_FitSDE.tex | 213 --------------
vignettes/FitSDE.Rnw | 4
vignettes/Introduction.Rnw | 4
vignettes/SDEs.Rnw | 180 +++++-------
56 files changed, 2698 insertions(+), 2404 deletions(-)
Title: Classes with reference semantics
Diff between R6 versions 1.0.1 dated 2014-07-17 and 2.0 dated 2014-08-19
Description: The R6 package allows the creation of classes with reference
semantics, similar to R's built-in reference classes. Compared to reference
classes, R6 classes are simpler and lighter-weight, and they are not built
on S4 classes so they do not require the methods package. These classes
allow public and private members, and they support inheritance, even when
the classes are defined in different packages.
Author: "Winston Chang" [aut, cre]
Maintainer: "Winston Chang"
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R6-1.0.1/R6/tests/testthat/test-r6class.R |only
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R6-2.0/R6/R/utils.R | 69 -
R6-2.0/R6/README.md | 34
R6-2.0/R6/build/vignette.rds |binary
R6-2.0/R6/inst/doc/Introduction.R | 162 ++-
R6-2.0/R6/inst/doc/Introduction.Rmd | 232 +++-
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R6-2.0/R6/vignettes/mystyle.css | 4
28 files changed, 1671 insertions(+), 631 deletions(-)
Title: Maximum penalized likelihood estimation with extended lasso
penalty
Diff between extlasso versions 0.1 dated 2014-07-30 and 0.2 dated 2014-08-19
Description: The package estimates coefficients of extended LASSO penalized linear regression and generalized linear models. Currently lasso and elastic net penalized linear regression and generalized linear models are considered. The package currently utilizes an accurate approximation of L1 penalty and then a modified Jacobi algorithm to estimate the coefficients. There is provision for plotting of the solutions and predictions of coefficients at given values of lambda. The package also contains functions for cross validation to select a suitable lambda value given the data. The package also provides a function for estimation in fused lasso penalized linear regression.
Author: B N Mandal
Maintainer: B N Mandal
DESCRIPTION | 8 ++++----
MD5 | 8 ++++----
NAMESPACE | 4 ++--
R/extlasso.R | 2 +-
man/extlasso.Rd | 4 ++--
5 files changed, 13 insertions(+), 13 deletions(-)