Title: Top Frequency-Based Parallel Coordinates
Description: Parallel coordinate plotting with resolutions for large data sets
and missing values.
Author: Norm Matloff <normmatloff@gmail.com> and
Vincent Yang <vinyang@ucdavis.edu> and Harrison Nguyen <hhnguy@ucdavis.edu>
Maintainer: Norm Matloff <normmatloff@gmail.com>
Diff between cdparcoord versions 1.0.0 dated 2017-08-31 and 1.0.1 dated 2019-08-04
cdparcoord-1.0.0/cdparcoord/data/Demographic_Statistics_By_Zip_Code.csv |only cdparcoord-1.0.0/cdparcoord/data/Titanic_Passengers.csv |only cdparcoord-1.0.0/cdparcoord/data/categoricalexample.csv |only cdparcoord-1.0.0/cdparcoord/data/datalist |only cdparcoord-1.0.0/cdparcoord/data/dataset.csv |only cdparcoord-1.0.0/cdparcoord/data/dataset2.csv |only cdparcoord-1.0.0/cdparcoord/data/hrdata.csv |only cdparcoord-1.0.0/cdparcoord/data/smallexample.csv |only cdparcoord-1.0.1/cdparcoord/DESCRIPTION | 11 - cdparcoord-1.0.1/cdparcoord/MD5 | 41 +++--- cdparcoord-1.0.1/cdparcoord/NAMESPACE | 1 cdparcoord-1.0.1/cdparcoord/R/countPartial.R | 5 cdparcoord-1.0.1/cdparcoord/R/drawit.R | 26 ++-- cdparcoord-1.0.1/cdparcoord/README.md | 39 ++++-- cdparcoord-1.0.1/cdparcoord/build/vignette.rds |binary cdparcoord-1.0.1/cdparcoord/data/Titanic.csv.gz |only cdparcoord-1.0.1/cdparcoord/data/categoricalexample.csv.gz |only cdparcoord-1.0.1/cdparcoord/data/demog.csv.gz |only cdparcoord-1.0.1/cdparcoord/data/hrdata.csv.gz |only cdparcoord-1.0.1/cdparcoord/data/smallexample.csv.gz |only cdparcoord-1.0.1/cdparcoord/inst/doc/cdparcoord.Rmd | 42 ++++--- cdparcoord-1.0.1/cdparcoord/inst/doc/cdparcoord.html | 59 ++++++---- cdparcoord-1.0.1/cdparcoord/man/Titanic.Rd |only cdparcoord-1.0.1/cdparcoord/man/clsPartialNA.Rd | 34 ++--- cdparcoord-1.0.1/cdparcoord/man/demog.Rd |only cdparcoord-1.0.1/cdparcoord/man/hrdata.Rd | 4 cdparcoord-1.0.1/cdparcoord/man/showCounts.Rd | 9 - cdparcoord-1.0.1/cdparcoord/man/smallexample.Rd | 4 cdparcoord-1.0.1/cdparcoord/vignettes/cdparcoord.Rmd | 42 ++++--- 29 files changed, 180 insertions(+), 137 deletions(-)
Title: Estimation of Transition Probabilities in Multistate Models
Description: Estimation of transition probabilities for the
illness-death model and or the three-state progressive model.
Author: Artur Araujo, Javier Roca-Pardinas <roca@uvigo.es>
and Luis Meira-Machado <lmachado@math.uminho.pt>
Maintainer: Artur Araujo <artur.stat@gmail.com>
Diff between TPmsm versions 1.2.1 dated 2015-11-09 and 1.2.2 dated 2019-08-04
DESCRIPTION | 8 +- MD5 | 8 +- inst/NEWS.Rd | 217 +++++++++++++++++++++++++++++--------------------------- src/RngStream.c | 47 +++++------- src/transLS.c | 48 ++++++------ 5 files changed, 168 insertions(+), 160 deletions(-)
Title: R Interface to 'lp_solve' Version 5.5.2.0
Description: The lpSolveAPI package provides an R interface to 'lp_solve',
a Mixed Integer Linear Programming (MILP) solver with support for pure
linear, (mixed) integer/binary, semi-continuous and special ordered sets
(SOS) models.
Author: lp_solve <http://lpsolve.sourceforge.net/>,
Kjell Konis <kjell.konis@me.com>.
Maintainer: ORPHANED
Diff between lpSolveAPI versions 5.5.2.0-17.2 dated 2019-08-04 and 5.5.2.0-17.3 dated 2019-08-04
DESCRIPTION | 6 +++--- MD5 | 6 +++--- src/RlpSolveLink.c | 4 +++- src/lp_solve/lp_MPS.c | 3 ++- 4 files changed, 11 insertions(+), 8 deletions(-)
Title: Interface to 'Lp_solve' v. 5.5 to Solve Linear/Integer Programs
Description: Lp_solve is freely available (under LGPL 2) software for
solving linear, integer and mixed integer programs. In this
implementation we supply a "wrapper" function in C and some R
functions that solve general linear/integer problems,
assignment problems, and transportation problems. This version
calls lp_solve version 5.5.
Author: Michel Berkelaar and others
Maintainer: ORPHANED
Diff between lpSolve versions 5.6.13.1 dated 2019-05-28 and 5.6.13.2 dated 2019-08-04
DESCRIPTION | 10 ++++++---- MD5 | 4 ++-- src/lp_MPS.c | 3 ++- 3 files changed, 10 insertions(+), 7 deletions(-)
Title: Determine Thermal Vegetation Periods
Description: Collection of common methods to determine growing season length in
a simple manner. Start and end dates of the vegetation periods are calculated
solely based on daily mean temperatures and the day of the year.
Author: Robert Nuske [aut, cre] (<https://orcid.org/0000-0001-9773-2061>)
Maintainer: Robert Nuske <robert.nuske@mailbox.org>
Diff between vegperiod versions 0.2.5 dated 2018-11-14 and 0.2.6 dated 2019-08-04
DESCRIPTION | 26 +++++++++------- MD5 | 26 ++++++++-------- NEWS.md | 6 +++ R/read_dwd.R | 56 ++++++++++++++---------------------- R/veg_ends.R | 17 +++++----- R/veg_starts.R | 2 - R/vegperiod.R | 12 ++++--- README.md | 32 ++++++++++++-------- build/partial.rdb |binary man/read.DWDdata.Rd | 8 ++--- man/read.DWDstations.Rd | 4 +- man/vegperiod.Rd | 2 - tests/testthat/test_DWD_stuff.R | 22 ++++++++++++-- tests/testthat/test_veg_vegperiod.R | 4 +- 14 files changed, 122 insertions(+), 95 deletions(-)
Title: Data Frame Class for Tracking Data
Description: Data frame class for storing collective movement data (e.g. fish
schools, ungulate herds, baboon troops) collected from GPS trackers or
computer vision tracking software.
Author: Simon Garnier [aut, cre] (<https://orcid.org/0000-0002-3886-3974>)
Maintainer: Simon Garnier <garnier@njit.edu>
Diff between trackdf versions 0.2.0 dated 2019-08-03 and 0.2.1 dated 2019-08-04
DESCRIPTION | 6 +-- MD5 | 30 +++++++++--------- NEWS.md | 13 +++++++ R/conversions.R | 35 ++++++++++++++------- inst/doc/z1_install.Rmd | 11 +++--- inst/doc/z1_install.html | 9 ++--- inst/doc/z2_build.R | 26 +++++++++++---- inst/doc/z2_build.Rmd | 26 +++++++++++---- inst/doc/z2_build.html | 34 +++++++++++++------- inst/doc/z3_manipulate.R | 61 ++++++++++++++++++++++++------------ inst/doc/z3_manipulate.Rmd | 61 ++++++++++++++++++++++++------------ inst/doc/z3_manipulate.html | 73 ++++++++++++++++++++++++++++---------------- man/conversions.Rd | 35 ++++++++++++++------- vignettes/z1_install.Rmd | 11 +++--- vignettes/z2_build.Rmd | 26 +++++++++++---- vignettes/z3_manipulate.Rmd | 61 ++++++++++++++++++++++++------------ 16 files changed, 345 insertions(+), 173 deletions(-)
Title: Landscape and Range Expansion Simulation
Description: Tools to generate random landscape graphs, evaluate species
occurrence in dynamic landscapes, simulate future landscape occupation and
evaluate range expansion when new empty patches are available (e.g. as a
result of climate change).
Author: Frederico Mestre, Fernando Canovas, Benjamin Risk, Ricardo Pita,
Antonio Mira, Pedro Beja.
Maintainer: Frederico Mestre <mestre.frederico@gmail.com>
Diff between MetaLandSim versions 1.0.5 dated 2018-11-04 and 1.0.6 dated 2019-08-04
DESCRIPTION | 8 ++++---- MD5 | 26 ++++++++++++++++---------- NAMESPACE | 2 +- R/range_raster.R | 3 ++- data/datalist | 1 + inst/doc/landscape_simulation-knitr.pdf |binary inst/doc/parameter_estimation-knitr.pdf |binary inst/doc/range_expansion-knitr.pdf |binary man/coda.create.Rd | 8 ++++---- man/combine.chains.Rd | 6 +----- man/range_raster.Rd | 28 +++++++++++++++++++++------- man/sim.area.Rd |only man/sim.det.20.Rd |only man/sim.distance.Rd |only man/z.sim.20.Rd |only man/z.sim.20.fa.Rd |only man/z.sim.Rd |only 17 files changed, 50 insertions(+), 32 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-03-12 3.4.2
2018-01-23 3.4.1
2018-01-09 3.4.0
2017-05-19 3.3.2
2017-05-17 3.3.1
2017-05-16 3.3.0
2017-01-04 3.2.0
2016-10-05 3.1.1
Title: Spatially Balanced Sampling
Description: Selection of spatially balanced samples. In particular, the implemented sampling designs allow to select probability samples well spread over the population of interest, in any dimension and using any distance function (e.g. Euclidean distance, Manhattan distance). For more details, Benedetti R and Piersimoni F (2017) <doi:10.1002/bimj.201600194> and Benedetti R and Piersimoni F (2017) <arXiv:1710.09116>. The implementation has been done in C++ through the use of 'Rcpp' and 'RcppArmadillo'.
Author: Francesco Pantalone [aut, cre],
Roberto Benedetti [aut],
Federica Piersimoni [aut]
Maintainer: Francesco Pantalone <pantalone.fra@gmail.com>
Diff between Spbsampling versions 1.2.0 dated 2019-03-12 and 1.3.0 dated 2019-08-04
DESCRIPTION | 8 - MD5 | 48 +++++----- NEWS.md | 25 ++++- R/RcppExports.R | 227 ++++++++++++++++++++++++--------------------------- R/Spbsampling.R | 12 +- R/data.R | 88 ++++++++++++------- man/Spbsampling.Rd | 12 +- man/hpwd.Rd | 58 ++++++------- man/income_emilia.Rd | 10 +- man/lucas_abruzzo.Rd | 30 ++++-- man/pwd.Rd | 64 ++++++-------- man/sbi.Rd | 28 +++--- man/simul1.Rd | 16 ++- man/simul2.Rd | 16 ++- man/simul3.Rd | 16 ++- man/stprod.Rd | 17 ++- man/stsum.Rd | 13 +- man/swd.Rd | 45 +++++----- src/RcppExports.cpp | 22 ++-- src/hpwd.cpp | 59 ++++++------- src/pwd.cpp | 64 ++++++-------- src/sbi.cpp | 28 +++--- src/stprod.cpp | 17 ++- src/stsum.cpp | 13 +- src/swd.cpp | 49 +++++------ 25 files changed, 519 insertions(+), 466 deletions(-)
Title: Ordination and Multivariate Analysis for Ecology
Description: A variety of ordination and community analyses
useful in analysis of data sets in community ecology.
Includes many of the common ordination methods, with
graphical routines to facilitate their interpretation,
as well as several novel analyses.
Author: David W. Roberts <droberts@montana.edu>
Maintainer: David W. Roberts <droberts@montana.edu>
Diff between labdsv versions 1.8-0 dated 2016-01-24 and 2.0-1 dated 2019-08-04
labdsv-1.8-0/labdsv/R/ordtaxa.R |only labdsv-1.8-0/labdsv/R/rndtaxa.R |only labdsv-1.8-0/labdsv/R/vegtrans.R |only labdsv-1.8-0/labdsv/man/ordtaxa.Rd |only labdsv-1.8-0/labdsv/man/plot.nmds.Rd |only labdsv-1.8-0/labdsv/man/plot.pca.Rd |only labdsv-1.8-0/labdsv/man/plot.pco.Rd |only labdsv-1.8-0/labdsv/man/rndtaxa.Rd |only labdsv-1.8-0/labdsv/man/vegtrans.Rd |only labdsv-1.8-0/labdsv/src/dsvdis.f |only labdsv-1.8-0/labdsv/src/euclid.f |only labdsv-1.8-0/labdsv/src/indval.f |only labdsv-1.8-0/labdsv/src/metric.f |only labdsv-1.8-0/labdsv/src/orddist.f |only labdsv-1.8-0/labdsv/src/pip.f |only labdsv-1.8-0/labdsv/src/thull.f |only labdsv-2.0-1/labdsv/DESCRIPTION | 11 - labdsv-2.0-1/labdsv/MD5 | 194 +++++++++++++----------- labdsv-2.0-1/labdsv/NAMESPACE | 168 +++++++++++++------- labdsv-2.0-1/labdsv/R/abundtrans.R |only labdsv-2.0-1/labdsv/R/abuocc.R | 45 +++-- labdsv-2.0-1/labdsv/R/as.dsvord.R |only labdsv-2.0-1/labdsv/R/calibrate.R |only labdsv-2.0-1/labdsv/R/clustify.R | 33 +++- labdsv-2.0-1/labdsv/R/compspec.R | 97 +++++++----- labdsv-2.0-1/labdsv/R/concov.R | 98 +++++++++--- labdsv-2.0-1/labdsv/R/const.R | 131 +++++++++------- labdsv-2.0-1/labdsv/R/dematrify.R | 10 - labdsv-2.0-1/labdsv/R/dga.R | 4 labdsv-2.0-1/labdsv/R/disana.R | 2 labdsv-2.0-1/labdsv/R/drop.R | 26 +-- labdsv-2.0-1/labdsv/R/dsvdis.R | 29 +++ labdsv-2.0-1/labdsv/R/dsvls.R |only labdsv-2.0-1/labdsv/R/dsvord.R |only labdsv-2.0-1/labdsv/R/euclidify.R | 22 +- labdsv-2.0-1/labdsv/R/factorize.R |only labdsv-2.0-1/labdsv/R/gsr.R |only labdsv-2.0-1/labdsv/R/homoteneity.R | 6 labdsv-2.0-1/labdsv/R/importance.R | 148 +++++++++++------- labdsv-2.0-1/labdsv/R/indval.R | 23 ++ labdsv-2.0-1/labdsv/R/isamic.R | 9 - labdsv-2.0-1/labdsv/R/matrify.R | 12 - labdsv-2.0-1/labdsv/R/metrify.R | 40 ++++ labdsv-2.0-1/labdsv/R/neighbors.R |only labdsv-2.0-1/labdsv/R/nmds.R | 234 +++-------------------------- labdsv-2.0-1/labdsv/R/ordcomm.R |only labdsv-2.0-1/labdsv/R/ordcomp.R | 14 - labdsv-2.0-1/labdsv/R/orddist.R | 8 labdsv-2.0-1/labdsv/R/ordneighbors.R |only labdsv-2.0-1/labdsv/R/ordpart.R | 52 ------ labdsv-2.0-1/labdsv/R/ordtest.R | 11 - labdsv-2.0-1/labdsv/R/ordutils.R | 24 ++ labdsv-2.0-1/labdsv/R/pca.R | 124 --------------- labdsv-2.0-1/labdsv/R/pco.R | 202 ------------------------- labdsv-2.0-1/labdsv/R/plot.ord.R |only labdsv-2.0-1/labdsv/R/predict.dsvord.R |only labdsv-2.0-1/labdsv/R/raretaxa.R | 28 +-- labdsv-2.0-1/labdsv/R/reconcile.R | 52 ++++-- labdsv-2.0-1/labdsv/R/refactor.R |only labdsv-2.0-1/labdsv/R/rndcomm.R |only labdsv-2.0-1/labdsv/R/standi.R |only labdsv-2.0-1/labdsv/R/stepdist.R |only labdsv-2.0-1/labdsv/R/thull.R | 114 +++----------- labdsv-2.0-1/labdsv/R/tsne.R |only labdsv-2.0-1/labdsv/R/vegtab.R | 13 - labdsv-2.0-1/labdsv/R/zzz.R |only labdsv-2.0-1/labdsv/inst/ChangeLog | 38 ++++ labdsv-2.0-1/labdsv/man/abundtrans.Rd |only labdsv-2.0-1/labdsv/man/abuocc.Rd | 13 - labdsv-2.0-1/labdsv/man/as.dsvord.Rd |only labdsv-2.0-1/labdsv/man/brycesite.Rd | 26 +-- labdsv-2.0-1/labdsv/man/bryceveg.Rd | 2 labdsv-2.0-1/labdsv/man/calibrate.Rd |only labdsv-2.0-1/labdsv/man/compspec.Rd | 24 +- labdsv-2.0-1/labdsv/man/concov.Rd | 15 - labdsv-2.0-1/labdsv/man/const.Rd | 8 labdsv-2.0-1/labdsv/man/convex.Rd |only labdsv-2.0-1/labdsv/man/defactorize.Rd |only labdsv-2.0-1/labdsv/man/dematrify.Rd | 11 - labdsv-2.0-1/labdsv/man/dga.Rd | 17 +- labdsv-2.0-1/labdsv/man/disana.Rd | 11 - labdsv-2.0-1/labdsv/man/dropplt.Rd | 30 +-- labdsv-2.0-1/labdsv/man/dropspc.Rd | 18 +- labdsv-2.0-1/labdsv/man/dsvdis.Rd | 19 +- labdsv-2.0-1/labdsv/man/dsvls.Rd |only labdsv-2.0-1/labdsv/man/envrtest.Rd | 7 labdsv-2.0-1/labdsv/man/euclidify.Rd | 26 +-- labdsv-2.0-1/labdsv/man/factorize.Rd |only labdsv-2.0-1/labdsv/man/gsr.Rd |only labdsv-2.0-1/labdsv/man/hellinger.Rd |only labdsv-2.0-1/labdsv/man/homoteneity.Rd | 17 +- labdsv-2.0-1/labdsv/man/importance.Rd | 19 +- labdsv-2.0-1/labdsv/man/indval.Rd | 34 ++-- labdsv-2.0-1/labdsv/man/isamic.Rd | 24 +- labdsv-2.0-1/labdsv/man/labdsv.internal.Rd | 1 labdsv-2.0-1/labdsv/man/matrify.Rd | 17 +- labdsv-2.0-1/labdsv/man/metrify.Rd | 13 + labdsv-2.0-1/labdsv/man/neighbors.Rd |only labdsv-2.0-1/labdsv/man/nmds.Rd | 48 +++-- labdsv-2.0-1/labdsv/man/ordcomm.Rd |only labdsv-2.0-1/labdsv/man/ordcomp.Rd | 17 +- labdsv-2.0-1/labdsv/man/orddist.Rd | 9 - labdsv-2.0-1/labdsv/man/ordneighbors.Rd |only labdsv-2.0-1/labdsv/man/ordpart.Rd | 9 - labdsv-2.0-1/labdsv/man/ordtest.Rd | 4 labdsv-2.0-1/labdsv/man/pca.Rd | 20 +- labdsv-2.0-1/labdsv/man/pco.Rd | 10 - labdsv-2.0-1/labdsv/man/plot.dsvord.Rd |only labdsv-2.0-1/labdsv/man/predict.Rd |only labdsv-2.0-1/labdsv/man/raretaxa.Rd | 9 - labdsv-2.0-1/labdsv/man/reconcile.Rd | 28 +-- labdsv-2.0-1/labdsv/man/rndcomm.Rd |only labdsv-2.0-1/labdsv/man/rnddist.Rd | 11 - labdsv-2.0-1/labdsv/man/samptot.Rd |only labdsv-2.0-1/labdsv/man/spcdisc.Rd | 1 labdsv-2.0-1/labdsv/man/spcmax.Rd |only labdsv-2.0-1/labdsv/man/stepdist.Rd |only labdsv-2.0-1/labdsv/man/thull.Rd | 21 +- labdsv-2.0-1/labdsv/man/tsne.Rd |only labdsv-2.0-1/labdsv/man/vegtab.Rd | 12 - labdsv-2.0-1/labdsv/src/dsvdis.f90 |only labdsv-2.0-1/labdsv/src/euclid.f90 |only labdsv-2.0-1/labdsv/src/indval.f90 |only labdsv-2.0-1/labdsv/src/ismetric.f90 |only labdsv-2.0-1/labdsv/src/metric.f90 |only labdsv-2.0-1/labdsv/src/orddist.f90 |only labdsv-2.0-1/labdsv/src/pip.f90 |only labdsv-2.0-1/labdsv/src/stepdist.f90 |only labdsv-2.0-1/labdsv/src/thull.f90 |only 129 files changed, 1222 insertions(+), 1351 deletions(-)
Title: Create Dummy Variables from Categorical Data
Description: Create dummy variables from categorical data.
This package can convert categorical data (factor and ordered) into
dummy variables and handle multiple columns simultaneously.
This package enables to select whether a dummy variable for base group
is included (for principal component analysis/factor analysis) or
excluded (for regression analysis) by an option.
'makedummies' function accepts 'data.frame', 'matrix', and
'tbl' (tibble) class (by 'tibble' package).
'matrix' class data is automatically converted to 'data.frame' class.
Author: Toshiaki Ara [aut, cre]
Maintainer: Toshiaki Ara <toshiaki.ara@gmail.com>
Diff between makedummies versions 1.2.0 dated 2019-03-03 and 1.2.1 dated 2019-08-04
makedummies-1.2.0/makedummies/NEWS |only makedummies-1.2.1/makedummies/DESCRIPTION | 8 - makedummies-1.2.1/makedummies/MD5 | 8 - makedummies-1.2.1/makedummies/NEWS.md |only makedummies-1.2.1/makedummies/R/makedummies.R | 153 ++++++++++++++--------- makedummies-1.2.1/makedummies/man/makedummies.Rd | 28 +++- 6 files changed, 130 insertions(+), 67 deletions(-)
Title: Help for Writing Unit Tests Based on Function Examples
Description: Take the examples written in your documentation of
functions and use them to create shells (skeletons which must be
manually completed by the user) of test files to be tested with the
'testthat' package. Sort of like python 'doctests' for R.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>),
Sergi Padilla-Parra [ths] (<https://orcid.org/0000-0002-8010-9481>),
Thomas Quinn [rev] (<https://orcid.org/0000-0003-0286-6329>),
Laurent Gatto [rev] (<https://orcid.org/0000-0002-1520-2268>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>
Diff between exampletestr versions 1.5.0 dated 2019-07-05 and 1.5.1 dated 2019-08-04
DESCRIPTION | 36 ++++++++++++------------ MD5 | 25 ++++++++-------- NEWS.md | 6 ++++ build/vignette.rds |binary inst/CODE_OF_CONDUCT.md |only inst/doc/one-file-at-a-time.html | 12 +++++--- inst/doc/one-function-at-a-time.R | 4 -- inst/doc/one-function-at-a-time.Rmd | 4 -- inst/doc/one-function-at-a-time.html | 52 +++++++++++++++++------------------ inst/doc/whole-package.R | 4 -- inst/doc/whole-package.Rmd | 4 -- inst/doc/whole-package.html | 52 +++++++++++++++++------------------ vignettes/one-function-at-a-time.Rmd | 4 -- vignettes/whole-package.Rmd | 4 -- 14 files changed, 97 insertions(+), 110 deletions(-)
Title: Statistical Learning on Sparse Matrices
Description: Implements many algorithms for statistical learning on
sparse matrices - matrix factorizations, matrix completion,
elastic net regressions, factorization machines.
Also 'rsparse' enhances 'Matrix' package by providing methods for
multithreaded <sparse, dense> matrix products and native slicing of
the sparse matrices in Compressed Sparse Row (CSR) format.
List of the algorithms for regression problems:
1) Elastic Net regression via Follow The Proximally-Regularized Leader (FTRL)
Stochastic Gradient Descent (SGD), as per McMahan et al(, <doi:10.1145/2487575.2488200>)
2) Factorization Machines via SGD, as per Rendle (2010, <doi:10.1109/ICDM.2010.127>)
List of algorithms for matrix factorization and matrix completion:
1) Weighted Regularized Matrix Factorization (WRMF) via Alternating Least
Squares (ALS) - paper by Hu, Koren, Volinsky (2008, <doi:10.1109/ICDM.2008.22>)
2) Maximum-Margin Matrix Factorization via ALS, paper by Rennie, Srebro
(2005, <doi:10.1145/1102351.1102441>)
3) Fast Truncated Singular Value Decomposition (SVD), Soft-Thresholded SVD,
Soft-Impute matrix completion via ALS - paper by Hastie, Mazumder
et al. (2014, <arXiv:1410.2596>)
4) Linear-Flow matrix factorization, from 'Practical linear models for
large-scale one-class collaborative filtering' by Sedhain, Bui, Kawale et al
(2016, ISBN:978-1-57735-770-4)
5) GlobalVectors (GloVe) matrix factorization via SGD, paper by Pennington,
Socher, Manning (2014, <https://www.aclweb.org/anthology/D14-1162>)
Package is reasonably fast and memory efficient - it allows to work with large
datasets - millions of rows and millions of columns. This is particularly useful
for practitioners working on recommender systems.
Author: Dmitriy Selivanov [aut, cre, cph]
(<https://orcid.org/0000-0001-5413-1506>),
Drew Schmidt [ctb] (configure script for BLAS, LAPACK detection),
Wei-Chen Chen [ctb] (considerable contributions with correct linking to
the float package)
Maintainer: Dmitriy Selivanov <selivanov.dmitriy@gmail.com>
Diff between rsparse versions 0.3.3.2 dated 2019-07-18 and 0.3.3.3 dated 2019-08-04
DESCRIPTION | 16 +++++++++------- MD5 | 5 +++-- NEWS.md | 3 +++ src/install.libs.R |only 4 files changed, 15 insertions(+), 9 deletions(-)
Title: R Interface to 'lp_solve' Version 5.5.2.0
Description: The lpSolveAPI package provides an R interface to 'lp_solve',
a Mixed Integer Linear Programming (MILP) solver with support for pure
linear, (mixed) integer/binary, semi-continuous and special ordered sets
(SOS) models.
Author: lp_solve <http://lpsolve.sourceforge.net/>,
Kjell Konis <kjell.konis@me.com>.
Maintainer: ORPHANED
Diff between lpSolveAPI versions 5.5.2.0-17.1 dated 2019-05-28 and 5.5.2.0-17.2 dated 2019-08-04
DESCRIPTION | 10 ++++++---- MD5 | 4 ++-- src/RlpSolveLink.c | 4 +++- 3 files changed, 11 insertions(+), 7 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-01-06 1.1-7.4
2018-01-03 1.1-7.3
2017-12-19 1.1-7.2
2017-12-05 1.1-7.1
2017-09-14 1.1-7
2012-09-14 1.1-6
2012-06-15 1.1-5
2012-01-03 1.1-4
2011-04-04 1.1-3
2010-10-02 1.1-2
2010-07-26 1.1-1
2010-03-15 1.1-0
2010-01-27 1.0-9
2009-10-20 1.0-8
2009-03-16 1.0-7
2008-07-14 1.0-6
2007-09-14 1.0-5
2007-05-29 1.0-4