Title: Time Aware Tibbles
Description: Built on top of the 'tibble' package, 'tibbletime' is an extension
that allows for the creation of time aware tibbles. Some immediate
advantages of this include: the ability to perform time-based subsetting
on tibbles, quickly summarising and aggregating results by time periods,
and creating columns that can be used as 'dplyr' time-based groups.
Author: Davis Vaughan [aut, cre],
Matt Dancho [aut]
Maintainer: Davis Vaughan <dvaughan@business-science.io>
Diff between tibbletime versions 0.0.2 dated 2017-10-06 and 0.1.0 dated 2018-01-02
tibbletime-0.0.2/tibbletime/R/dplyr-arrange.R |only tibbletime-0.0.2/tibbletime/R/dplyr-distinct.R |only tibbletime-0.0.2/tibbletime/R/dplyr-filter.R |only tibbletime-0.0.2/tibbletime/R/dplyr-full_join.R |only tibbletime-0.0.2/tibbletime/R/dplyr-group_by.R |only tibbletime-0.0.2/tibbletime/R/dplyr-inner_join.R |only tibbletime-0.0.2/tibbletime/R/dplyr-left_join.R |only tibbletime-0.0.2/tibbletime/R/dplyr-mutate.R |only tibbletime-0.0.2/tibbletime/R/dplyr-select.R |only tibbletime-0.0.2/tibbletime/R/dplyr-slice.R |only tibbletime-0.0.2/tibbletime/R/dplyr-summarise.R |only tibbletime-0.0.2/tibbletime/R/dplyr-ungroup.R |only tibbletime-0.0.2/tibbletime/R/index.R |only tibbletime-0.0.2/tibbletime/R/periodicity.R |only tibbletime-0.0.2/tibbletime/R/tbl_time.R |only tibbletime-0.0.2/tibbletime/R/tibbletime-package.r |only tibbletime-0.0.2/tibbletime/R/tidyr-gather.R |only tibbletime-0.0.2/tibbletime/R/tidyr-nest.R |only tibbletime-0.0.2/tibbletime/R/tidyr-spread.R |only tibbletime-0.0.2/tibbletime/R/tidyr-unnest.R |only tibbletime-0.0.2/tibbletime/R/tidyverse-fun-handlers.R |only tibbletime-0.0.2/tibbletime/R/time_ceiling.R |only tibbletime-0.0.2/tibbletime/R/time_collapse.R |only tibbletime-0.0.2/tibbletime/R/time_filter.R |only tibbletime-0.0.2/tibbletime/R/time_floor.R |only tibbletime-0.0.2/tibbletime/R/time_group.R |only tibbletime-0.0.2/tibbletime/R/time_nest.R |only tibbletime-0.0.2/tibbletime/R/time_summarise.R |only tibbletime-0.0.2/tibbletime/R/time_unnest.R |only tibbletime-0.0.2/tibbletime/R/tmap.R |only tibbletime-0.0.2/tibbletime/R/utils.R |only tibbletime-0.0.2/tibbletime/inst/doc/TT-00-intro-to-tibbletime.R |only tibbletime-0.0.2/tibbletime/inst/doc/TT-00-intro-to-tibbletime.Rmd |only tibbletime-0.0.2/tibbletime/inst/doc/TT-00-intro-to-tibbletime.html |only tibbletime-0.0.2/tibbletime/man/expand_index.Rd |only tibbletime-0.0.2/tibbletime/man/retrieve_index.Rd |only tibbletime-0.0.2/tibbletime/man/retrieve_time_zone.Rd |only tibbletime-0.0.2/tibbletime/man/time_ceiling.Rd |only tibbletime-0.0.2/tibbletime/man/time_collapse.Rd |only tibbletime-0.0.2/tibbletime/man/time_filter.Rd |only tibbletime-0.0.2/tibbletime/man/time_floor.Rd |only tibbletime-0.0.2/tibbletime/man/time_group.Rd |only tibbletime-0.0.2/tibbletime/man/time_nest.Rd |only tibbletime-0.0.2/tibbletime/man/time_summarise.Rd |only tibbletime-0.0.2/tibbletime/man/time_unnest.Rd |only tibbletime-0.0.2/tibbletime/man/tmap.Rd |only tibbletime-0.0.2/tibbletime/tests/testthat/test_dplyr-arrange.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_dplyr-distinct.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_dplyr-filter.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_dplyr-full_join.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_dplyr-group_by.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_dplyr-left_join.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_dplyr-mutate.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_dplyr-select.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_dplyr-summarise.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_dplyr-ungroup.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_index.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_tbl_time.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_tidyr-gather.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_tidyr-unnest.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_tidyverse-fun-handlers.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_time_collapse.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_time_filter.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_time_nest.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_time_summarise.R |only tibbletime-0.0.2/tibbletime/tests/testthat/test_tmap.R |only tibbletime-0.0.2/tibbletime/vignettes/TT-00-intro-to-tibbletime.Rmd |only tibbletime-0.1.0/tibbletime/DESCRIPTION | 27 tibbletime-0.1.0/tibbletime/MD5 | 175 ++--- tibbletime-0.1.0/tibbletime/NAMESPACE | 135 +--- tibbletime-0.1.0/tibbletime/NEWS.md | 84 ++ tibbletime-0.1.0/tibbletime/R/RcppExports.R |only tibbletime-0.1.0/tibbletime/R/aaa.R |only tibbletime-0.1.0/tibbletime/R/as_period.R |only tibbletime-0.1.0/tibbletime/R/ceiling_index.R |only tibbletime-0.1.0/tibbletime/R/coercion.R |only tibbletime-0.1.0/tibbletime/R/collapse_index.R |only tibbletime-0.1.0/tibbletime/R/compat-dplyr.R |only tibbletime-0.1.0/tibbletime/R/compat-tidyr.R |only tibbletime-0.1.0/tibbletime/R/create_series.R | 123 ++- tibbletime-0.1.0/tibbletime/R/filter_time.R |only tibbletime-0.1.0/tibbletime/R/floor_index.R |only tibbletime-0.1.0/tibbletime/R/getters.R |only tibbletime-0.1.0/tibbletime/R/helpers.R |only tibbletime-0.1.0/tibbletime/R/index-based-generics.R |only tibbletime-0.1.0/tibbletime/R/new.R |only tibbletime-0.1.0/tibbletime/R/parse_period.R |only tibbletime-0.1.0/tibbletime/R/parse_time_formula.R |only tibbletime-0.1.0/tibbletime/R/partition_index.R |only tibbletime-0.1.0/tibbletime/R/print.R | 2 tibbletime-0.1.0/tibbletime/R/reconstruct.R |only tibbletime-0.1.0/tibbletime/R/rollify.R | 7 tibbletime-0.1.0/tibbletime/R/seq.R |only tibbletime-0.1.0/tibbletime/R/tibbletime-package.R |only tibbletime-0.1.0/tibbletime/R/time_join.R |only tibbletime-0.1.0/tibbletime/R/to_posixct_numeric.R |only tibbletime-0.1.0/tibbletime/R/util.R |only tibbletime-0.1.0/tibbletime/R/validators.R |only tibbletime-0.1.0/tibbletime/README.md | 281 ++++---- tibbletime-0.1.0/tibbletime/build/vignette.rds |binary tibbletime-0.1.0/tibbletime/data/FANG.rda |binary tibbletime-0.1.0/tibbletime/data/FB.rda |binary tibbletime-0.1.0/tibbletime/inst/doc/TT-01-time-based-filtering.R | 38 - tibbletime-0.1.0/tibbletime/inst/doc/TT-01-time-based-filtering.Rmd | 81 +- tibbletime-0.1.0/tibbletime/inst/doc/TT-01-time-based-filtering.html | 321 ++++++---- tibbletime-0.1.0/tibbletime/inst/doc/TT-02-changing-time-periods.R | 26 tibbletime-0.1.0/tibbletime/inst/doc/TT-02-changing-time-periods.Rmd | 43 - tibbletime-0.1.0/tibbletime/inst/doc/TT-02-changing-time-periods.html | 187 ++--- tibbletime-0.1.0/tibbletime/inst/doc/TT-03-rollify-for-rolling-analysis.html | 296 ++++----- tibbletime-0.1.0/tibbletime/inst/doc/TT-04-use-with-dplyr.R |only tibbletime-0.1.0/tibbletime/inst/doc/TT-04-use-with-dplyr.Rmd |only tibbletime-0.1.0/tibbletime/inst/doc/TT-04-use-with-dplyr.html |only tibbletime-0.1.0/tibbletime/inst/include |only tibbletime-0.1.0/tibbletime/man/as_period.Rd | 96 +- tibbletime-0.1.0/tibbletime/man/ceiling_index.Rd |only tibbletime-0.1.0/tibbletime/man/collapse_index.Rd |only tibbletime-0.1.0/tibbletime/man/create_series.Rd | 73 -- tibbletime-0.1.0/tibbletime/man/figures |only tibbletime-0.1.0/tibbletime/man/filter_time.Rd |only tibbletime-0.1.0/tibbletime/man/floor_index.Rd |only tibbletime-0.1.0/tibbletime/man/getters.Rd |only tibbletime-0.1.0/tibbletime/man/parse_period.Rd |only tibbletime-0.1.0/tibbletime/man/partition_index.Rd |only tibbletime-0.1.0/tibbletime/man/posixct_numeric_to_datetime.Rd |only tibbletime-0.1.0/tibbletime/man/reconstruct.Rd |only tibbletime-0.1.0/tibbletime/man/reexports.Rd | 6 tibbletime-0.1.0/tibbletime/man/rollify.Rd | 9 tibbletime-0.1.0/tibbletime/man/tbl_time.Rd | 20 tibbletime-0.1.0/tibbletime/man/tibbletime.Rd | 2 tibbletime-0.1.0/tibbletime/src |only tibbletime-0.1.0/tibbletime/tests/testthat/test_as_period.R | 25 tibbletime-0.1.0/tibbletime/tests/testthat/test_ceiling_index.R |only tibbletime-0.1.0/tibbletime/tests/testthat/test_coercion.R |only tibbletime-0.1.0/tibbletime/tests/testthat/test_collapse_index.R |only tibbletime-0.1.0/tibbletime/tests/testthat/test_compat-tidyr.R |only tibbletime-0.1.0/tibbletime/tests/testthat/test_create_series.R |only tibbletime-0.1.0/tibbletime/tests/testthat/test_filter_time.R |only tibbletime-0.1.0/tibbletime/tests/testthat/test_floor_index.R |only tibbletime-0.1.0/tibbletime/tests/testthat/test_getters.R |only tibbletime-0.1.0/tibbletime/tests/testthat/test_helpers.R |only tibbletime-0.1.0/tibbletime/tests/testthat/test_new.R |only tibbletime-0.1.0/tibbletime/tests/testthat/test_parse_period.R |only tibbletime-0.1.0/tibbletime/tests/testthat/test_parse_time_formula.R |only tibbletime-0.1.0/tibbletime/tests/testthat/test_reconstruct.R |only tibbletime-0.1.0/tibbletime/vignettes/TT-01-time-based-filtering.Rmd | 81 +- tibbletime-0.1.0/tibbletime/vignettes/TT-02-changing-time-periods.Rmd | 43 - tibbletime-0.1.0/tibbletime/vignettes/TT-04-use-with-dplyr.Rmd |only 147 files changed, 1187 insertions(+), 994 deletions(-)
Title: Statistical Toolbox for Sedimentary Provenance Analysis
Description: Bundles a number of established statistical methods to facilitate the visual interpretation of large datasets in sedimentary geology. Includes functionality for adaptive kernel density estimation, multidimensional scaling, generalised procrustes analysis and individual differences scaling using a variety of dissimilarity measures. Univariate provenance proxies, such as single-grain ages or (isotopic) compositions are compared with the Kolmogorov-Smirnov, Kuiper or Sircombe-Hazelton L2 distances. Categorical provenance proxies, such as mineralogical, petrographic or chemical compositions are compared with the Aitchison and Bray-Curtis distances. Also included are tools to plot compositional data on ternary diagrams, to calculate the sample size required for specified levels of statistical precision, and to assess the effects of hydraulic sorting on detrital compositions. Includes an intuitive query-based user interface for users who are not proficient in R.
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>
Diff between provenance versions 1.8 dated 2017-11-22 and 1.9 dated 2018-01-02
DESCRIPTION | 22 ++---------- MD5 | 15 ++++---- NAMESPACE | 1 R/plot.R | 66 ++++++++++++++++++++++++++++++++++--- R/toolbox.R | 89 +++++++++++++++++++++++++++++++++----------------- man/amalgamate.Rd | 7 ++- man/plot.ternary.Rd | 15 +++++++- man/points.ternary.Rd |only man/ternary.Rd | 14 +++---- 9 files changed, 159 insertions(+), 70 deletions(-)
Title: High Performance Implementation of the Naive Bayes Algorithm
Description: High performance implementation of the Naive Bayes algorithm.
Author: Michal Majka
Maintainer: Michal Majka <michalmajka@hotmail.com>
Diff between naivebayes versions 0.9.1 dated 2017-01-15 and 0.9.2 dated 2018-01-02
DESCRIPTION | 8 - MD5 | 12 +- R/naive_bayes.R | 277 ------------------------------------------------ R/naive_bayes.default.R |only R/naive_bayes.formula.R |only R/plot.naive_bayes.R |only R/predict.naive_bayes.R |only R/print.naive_bayes.R |only R/tables.R |only inst/NEWS.Rd | 6 + 10 files changed, 20 insertions(+), 283 deletions(-)
Title: 'Ping' 'URLs' to Time 'Requests'
Description: A suite of functions to ping 'URLs' and to time
'HTTP' 'requests'. Designed to work with 'httr'.
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>
Diff between httping versions 0.1.0 dated 2016-01-03 and 0.2.0 dated 2018-01-02
DESCRIPTION | 17 ++++------ LICENSE | 2 - MD5 | 26 +++++++-------- NAMESPACE | 1 R/httping-package.R | 1 R/ping.R | 26 +++++++-------- R/time.R | 14 ++++---- README.md | 61 ++++++++++++++++++------------------- man/httping-package.Rd | 4 +- man/ping.Rd | 23 ++++++------- man/pipe.Rd | 1 man/time.Rd | 15 ++++----- tests/testthat/test-ping.R | 74 +++++++++++++++++++++++++++++++++++---------- tests/testthat/test-time.R | 22 ++++++------- 14 files changed, 164 insertions(+), 123 deletions(-)
Title: Genome-Wide Discovery of Pre-miRNAs with few Labeled Examples
Description: Machine learning method specifically designed for
pre-miRNA prediction. It takes advantage of unlabeled sequences to improve
the prediction rates even when there are just a few positive examples, when
the negative examples are unreliable or are not good representatives of
its class. Furthermore, the method can automatically search for negative
examples if the user is unable to provide them. MiRNAss can find a good
boundary to divide the pre-miRNAs from other groups of sequences; it
automatically optimizes the threshold that defines the classes boundaries,
and thus, it is robust to high class imbalance. Each step of the method is
scalable and can handle large volumes of data.
Author: Cristian Yones
Maintainer: Cristian Yones <cyones@sinc.unl.edu.ar>
Diff between miRNAss versions 1.3 dated 2017-11-02 and 1.4 dated 2018-01-02
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- inst/NEWS | 2 ++ inst/doc/miRNAss.pdf |binary src/edgeListKnn.cpp | 7 +++---- 5 files changed, 12 insertions(+), 11 deletions(-)
Title: Genomic Data Retrieval
Description: Perform metagenomic data retrieval and functional annotation
retrieval. In detail, this package aims to provide users with a standardized
way to automate genome, proteome, coding sequence ('CDS'), 'GFF', and metagenome
retrieval from 'NCBI' and 'ENSEMBL' databases. Furthermore, an interface to the 'BioMart' database
(Smedley et al. (2009) <doi:10.1186/1471-2164-10-22>) allows users to retrieve
functional annotation for genomic loci. Users can download entire databases such
as 'NCBI RefSeq' (Pruitt et al. (2007) <doi:10.1093/nar/gkl842>), 'NCBI nr',
'NCBI nt' and 'NCBI Genbank' (Benson et al. (2013) <doi:10.1093/nar/gks1195>) as
well as 'ENSEMBL' and 'ENSEMBLGENOMES' with only one command.
Author: Hajk-Georg Drost [aut, cre] (http://orcid.org/0000-0002-1567-306X)
Maintainer: Hajk-Georg Drost <hgd23@cam.ac.uk>
Diff between biomartr versions 0.5.2 dated 2017-09-20 and 0.7.0 dated 2018-01-02
DESCRIPTION | 21 + MD5 | 120 ++++----- NEWS.md | 20 + R/existingOrganisms.R |only R/existingOrganisms_ensembl.R |only R/getAssemblyStats.R | 50 ++-- R/getCDS.R | 50 ++-- R/getDatasets.R | 2 R/getENSEMBL.Seq.R | 28 +- R/getENSEMBLGENOMES.Seq.R | 44 +-- R/getGFF.R | 51 ++-- R/getGTF.R | 4 R/getGenome.R | 161 +++++++++--- R/getGroups.R | 17 - R/getKingdomAssemblySummary.R | 9 R/getMetaGenomeSummary.R | 8 R/getMetaGenomes.R | 13 - R/getProteome.R | 139 +++++++---- R/getRNA.R | 48 ++- R/getRepeatMasker.R | 49 ++- R/is.genome.available.R | 24 - R/listGenomes.R | 4 R/meta.retrieval.R | 423 ++++++++++++++++++++++------------ R/meta.retrieval.all.R | 15 - README.md | 2 inst/doc/BioMart_Examples.html | 4 inst/doc/Database_Retrieval.R | 4 inst/doc/Database_Retrieval.Rmd | 4 inst/doc/Database_Retrieval.html | 28 +- inst/doc/Functional_Annotation.R | 107 ++------ inst/doc/Functional_Annotation.Rmd | 98 ------- inst/doc/Functional_Annotation.html | 171 ------------- inst/doc/Introduction.html | 4 inst/doc/MetaGenome_Retrieval.R | 92 ++++++- inst/doc/MetaGenome_Retrieval.Rmd | 284 +++++++++++++++++++--- inst/doc/MetaGenome_Retrieval.html | 248 +++++++++++++++++-- inst/doc/Sequence_Retrieval.Rmd | 86 ++++-- inst/doc/Sequence_Retrieval.html | 144 +++++++++-- man/getAssemblyStats.Rd | 7 man/getCDS.Rd | 5 man/getDatasets.Rd | 2 man/getGFF.Rd | 6 man/getGenome.Rd | 6 man/getGroups.Rd | 19 - man/getProteome.Rd | 6 man/getRNA.Rd | 5 man/getRepeatMasker.Rd | 6 man/meta.retrieval.Rd | 67 ++++- man/meta.retrieval.all.Rd | 15 - tests/testthat/test-biomart.R | 3 tests/testthat/test-getAttributes.R | 7 tests/testthat/test-getCDS.R | 7 tests/testthat/test-getDatasets.R | 1 tests/testthat/test-getFilters.R | 1 tests/testthat/test-getGenome.R | 5 tests/testthat/test-getMarts.R | 1 tests/testthat/test-organismBM.R | 1 tests/testthat/test-organismFilters.R | 1 vignettes/Database_Retrieval.Rmd | 4 vignettes/Functional_Annotation.Rmd | 98 ------- vignettes/MetaGenome_Retrieval.Rmd | 284 +++++++++++++++++++--- vignettes/Sequence_Retrieval.Rmd | 86 ++++-- 62 files changed, 2052 insertions(+), 1167 deletions(-)
Title: Dimension Reduction and Estimation Methods
Description: We provide a rich collection of linear and nonlinear dimension reduction techniques.
Intrinsic dimension estimation methods for exploratory analysis are also provided.
For more details on dimensionality techniques, see the paper by
Ma and Zhu (2013) <doi:10.1111/j.1751-5823.2012.00182.x> if you are interested in
statistical approach, or Engel, Huttenberger, and Hamann (2012)
<doi:10.4230/OASIcs.VLUDS.2011.135> for a broader multi-disciplinary overview.
Author: Kisung You [aut, cre] (0000-0002-8584-459X)
Maintainer: Kisung You <kyou@nd.edu>
Diff between Rdimtools versions 0.1.3 dated 2017-11-24 and 0.2.0 dated 2018-01-02
DESCRIPTION | 32 MD5 | 217 +- NAMESPACE | 35 R/RcppExports.R | 37 R/auxiliary.R | 221 ++ R/auxiliary_checks.R | 48 R/estimate_boxcount.R | 2 R/init.R | 8 R/linear_ANMM.R |only R/linear_BPCA.R |only R/linear_CCA.R | 12 R/linear_DSPP.R |only R/linear_ESLPP.R |only R/linear_EXTLPP.R |only R/linear_FA.R | 14 R/linear_ICA.R | 10 R/linear_ISOPROJ.R |only R/linear_KMVP.R |only R/linear_KUDP.R |only R/linear_LDA.R | 12 R/linear_LDE.R |only R/linear_LEA.R |only R/linear_LFDA.R |only R/linear_LLP.R |only R/linear_LMDS.R | 6 R/linear_LPP.R | 25 R/linear_LSPP.R |only R/linear_MDS.R | 6 R/linear_MMC.R |only R/linear_MVP.R |only R/linear_NPE.R | 18 R/linear_OLPP.R | 15 R/linear_OPLS.R | 8 R/linear_PCA.R | 32 R/linear_PLS.R | 12 R/linear_PPCA.R |only R/linear_RNDPROJ.R | 29 R/linear_SDLPP.R |only R/linear_SLPP.R |only R/linear_SPCA.R |only R/linear_SPP.R |only R/linear_UDP.R |only R/nonlinear_CISOMAP.R | 42 R/nonlinear_CRCA.R |only R/nonlinear_CRDA.R |only R/nonlinear_DM.R | 6 R/nonlinear_ISOMAP.R | 4 R/nonlinear_ISPE.R |only R/nonlinear_KECA.R | 4 R/nonlinear_KLDE.R |only R/nonlinear_KLFDA.R |only R/nonlinear_KMMC.R |only R/nonlinear_KPCA.R | 11 R/nonlinear_LAPEIG.R | 4 R/nonlinear_LISOMAP.R | 4 R/nonlinear_LLE.R | 4 R/nonlinear_LTSA.R | 4 R/nonlinear_MVE.R |only R/nonlinear_MVU.R | 21 R/nonlinear_PLP.R | 4 R/nonlinear_REE.R | 8 R/nonlinear_RPCA.R |only R/nonlinear_SAMMON.R | 8 R/nonlinear_SNE.R | 10 R/nonlinear_SPE.R |only R/nonlinear_TSNE.R | 9 R/oos_LINEAR.R |only R/package-Rdimtools.R | 149 + README.md |only build/partial.rdb |binary inst/REFERENCES.bib | 3718 +++++++++++++--------------------------------- man/Rdimtools.Rd | 155 + man/aux_gensamples.Rd | 7 man/aux_graphnbd.Rd | 8 man/aux_kernelcov.Rd | 18 man/aux_preprocess.Rd | 8 man/aux_shortestpath.Rd | 6 man/linear_ANMM.Rd |only man/linear_BPCA.Rd |only man/linear_CCA.Rd | 12 man/linear_DSPP.Rd |only man/linear_ESLPP.Rd |only man/linear_EXTLPP.Rd |only man/linear_FA.Rd | 14 man/linear_ICA.Rd | 10 man/linear_ISOPROJ.Rd |only man/linear_KMVP.Rd |only man/linear_KUDP.Rd |only man/linear_LDA.Rd | 8 man/linear_LDE.Rd |only man/linear_LEA.Rd |only man/linear_LFDA.Rd |only man/linear_LLP.Rd |only man/linear_LMDS.Rd | 6 man/linear_LPP.Rd | 14 man/linear_LSPP.Rd |only man/linear_MDS.Rd | 6 man/linear_MMC.Rd |only man/linear_MVP.Rd |only man/linear_NPE.Rd | 13 man/linear_OLPP.Rd | 8 man/linear_OPLS.Rd | 8 man/linear_PCA.Rd | 9 man/linear_PLS.Rd | 12 man/linear_PPCA.Rd |only man/linear_RNDPROJ.Rd | 14 man/linear_SDLPP.Rd |only man/linear_SLPP.Rd |only man/linear_SPCA.Rd |only man/linear_SPP.Rd |only man/linear_UDP.Rd |only man/nonlinear_CISOMAP.Rd | 7 man/nonlinear_CRCA.Rd |only man/nonlinear_CRDA.Rd |only man/nonlinear_DM.Rd | 6 man/nonlinear_ISOMAP.Rd | 4 man/nonlinear_ISPE.Rd |only man/nonlinear_KECA.Rd | 4 man/nonlinear_KLDE.Rd |only man/nonlinear_KLFDA.Rd |only man/nonlinear_KMMC.Rd |only man/nonlinear_KPCA.Rd | 9 man/nonlinear_LAPEIG.Rd | 4 man/nonlinear_LISOMAP.Rd | 4 man/nonlinear_LLE.Rd | 4 man/nonlinear_LTSA.Rd | 4 man/nonlinear_MVE.Rd |only man/nonlinear_MVU.Rd | 8 man/nonlinear_PLP.Rd | 4 man/nonlinear_REE.Rd | 8 man/nonlinear_RPCA.Rd |only man/nonlinear_SAMMON.Rd | 8 man/nonlinear_SNE.Rd | 10 man/nonlinear_SPE.Rd |only man/nonlinear_TSNE.Rd | 9 man/oos_LINEAR.Rd |only src/RcppExports.cpp | 123 + src/methods_linear.cpp | 208 ++ src/methods_linear.h | 30 src/methods_nonlinear.cpp | 175 ++ src/methods_nonlinear.h | 7 141 files changed, 2631 insertions(+), 3150 deletions(-)
Title: Implements Indices of Qualitative Variation Proposed by Wilcox
(1973)
Description: Implements indices of qualitative variation proposed by Wilcox
(1973).
Author: Joel Gombin [aut, cre]
Maintainer: Joel Gombin <joel.gombin@gmail.com>
Diff between qualvar versions 0.1.0 dated 2015-08-19 and 0.2.0 dated 2018-01-02
DESCRIPTION | 21 +++-- MD5 | 32 ++++----- NAMESPACE | 2 R/functions.R | 6 - README.md | 14 ++- build/vignette.rds |binary inst/doc/wilcox1973.R | 2 inst/doc/wilcox1973.Rmd | 6 - inst/doc/wilcox1973.html | 165 +++++++++++++++++++++++------------------------ man/ADA.Rd | 3 man/B.Rd | 3 man/DM.Rd | 3 man/HREL.Rd | 5 - man/MDA.Rd | 7 - man/VA.Rd | 3 man/wilcox1973.Rd | 3 vignettes/wilcox1973.Rmd | 6 - 17 files changed, 143 insertions(+), 138 deletions(-)
Title: Processing Data for Quantitative Language Comparison (QLC)
Description: This is a collection of functions to read, recode, and transcode data for QLC.
Author: Michael Cysouw
Maintainer: Michael Cysouw <cysouw@mac.com>
Diff between qlcData versions 0.1.0 dated 2015-10-21 and 0.2.0 dated 2018-01-02
qlcData-0.1.0/qlcData/man/join.align.Rd |only qlcData-0.1.0/qlcData/man/read.align.Rd |only qlcData-0.2.0/qlcData/DESCRIPTION | 20 - qlcData-0.2.0/qlcData/MD5 | 65 ++-- qlcData-0.2.0/qlcData/NAMESPACE | 6 qlcData-0.2.0/qlcData/NEWS.md | 11 qlcData-0.2.0/qlcData/R/asPhylo.R |only qlcData-0.2.0/qlcData/R/getTree.R |only qlcData-0.2.0/qlcData/R/join_align.R | 2 qlcData-0.2.0/qlcData/R/launch_shiny.R |only qlcData-0.2.0/qlcData/R/pass_align.R |only qlcData-0.2.0/qlcData/R/read_align.R | 2 qlcData-0.2.0/qlcData/R/readwrite_orthography.R | 8 qlcData-0.2.0/qlcData/R/readwrite_recoding.R | 114 +++++-- qlcData-0.2.0/qlcData/R/recode.R | 100 ++++-- qlcData-0.2.0/qlcData/R/tokenize.R | 2 qlcData-0.2.0/qlcData/README.md | 18 + qlcData-0.2.0/qlcData/build/vignette.rds |binary qlcData-0.2.0/qlcData/data |only qlcData-0.2.0/qlcData/exec |only qlcData-0.2.0/qlcData/inst/doc/orthography_processing.R | 4 qlcData-0.2.0/qlcData/inst/doc/orthography_processing.Rmd | 14 qlcData-0.2.0/qlcData/inst/doc/orthography_processing.html | 112 ++++--- qlcData-0.2.0/qlcData/inst/doc/recoding_nominal_data.Rmd | 6 qlcData-0.2.0/qlcData/inst/doc/recoding_nominal_data.html | 191 +++++-------- qlcData-0.2.0/qlcData/inst/shiny |only qlcData-0.2.0/qlcData/man/asPhylo.Rd |only qlcData-0.2.0/qlcData/man/expandvalues.Rd | 9 qlcData-0.2.0/qlcData/man/getTree.Rd |only qlcData-0.2.0/qlcData/man/glottolog.Rd |only qlcData-0.2.0/qlcData/man/join_align.Rd |only qlcData-0.2.0/qlcData/man/launch_shiny.Rd |only qlcData-0.2.0/qlcData/man/pass_align.Rd |only qlcData-0.2.0/qlcData/man/qlcData-package.Rd | 2 qlcData-0.2.0/qlcData/man/read_align.Rd |only qlcData-0.2.0/qlcData/man/readwrite_orthography.Rd | 5 qlcData-0.2.0/qlcData/man/readwrite_recoding.Rd | 15 - qlcData-0.2.0/qlcData/man/tokenize.Rd | 26 + qlcData-0.2.0/qlcData/vignettes/orthography_processing.Rmd | 14 qlcData-0.2.0/qlcData/vignettes/recoding_nominal_data.Rmd | 6 40 files changed, 445 insertions(+), 307 deletions(-)
Title: Simply Create LaTeX and HTML Tables
Description: Creates HTML and LaTeX tables. Provides similar
functionality to 'xtable', but does more, with a simpler interface. Includes
a 'huxreg' function for quick creation of regression tables. Allows export to
Microsoft Word or PowerPoint using the 'officer' package.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>
Diff between huxtable versions 1.2.0 dated 2017-12-17 and 2.0.0 dated 2018-01-02
huxtable-1.2.0/huxtable/inst/doc/huxtable.html |only huxtable-2.0.0/huxtable/DESCRIPTION | 10 - huxtable-2.0.0/huxtable/MD5 | 35 +-- huxtable-2.0.0/huxtable/NAMESPACE | 3 huxtable-2.0.0/huxtable/NEWS.md | 13 + huxtable-2.0.0/huxtable/R/attributes.R | 27 ++ huxtable-2.0.0/huxtable/R/huxreg.R | 6 huxtable-2.0.0/huxtable/R/screen.R | 2 huxtable-2.0.0/huxtable/R/utils.R | 129 +++++++++++-- huxtable-2.0.0/huxtable/build/vignette.rds |binary huxtable-2.0.0/huxtable/inst/doc/design-principles.html | 4 huxtable-2.0.0/huxtable/inst/doc/huxreg.html | 146 +++++++-------- huxtable-2.0.0/huxtable/inst/doc/huxtable.R | 20 +- huxtable-2.0.0/huxtable/inst/doc/huxtable.Rmd | 39 ++-- huxtable-2.0.0/huxtable/inst/doc/huxtable.pdf |only huxtable-2.0.0/huxtable/man/number_format.Rd | 20 +- huxtable-2.0.0/huxtable/man/quick-output.Rd |only huxtable-2.0.0/huxtable/tests/testthat/test-attributes.R | 11 + huxtable-2.0.0/huxtable/tests/testthat/test-output.R | 20 ++ huxtable-2.0.0/huxtable/vignettes/huxtable.Rmd | 39 ++-- 20 files changed, 349 insertions(+), 175 deletions(-)
Title: Fire-History Analysis in R
Description: Basic tools to analyze forest fire history data (e.g. FHX) in R.
Author: Steven Malevich [aut, cre],
Christopher Guiterman [ctb],
Ellis Margolis [ctb]
Maintainer: Steven Malevich <malevich@email.arizona.edu>
Diff between burnr versions 0.2.1 dated 2017-09-22 and 0.2.2 dated 2018-01-02
DESCRIPTION | 6 MD5 | 24 - NEWS.md | 13 R/io.R | 2 R/sea.R | 28 + R/stats.R | 3 build/vignette.rds |binary inst/doc/introduction.html | 689 +++++++++++++++++++++----------------------- man/list_filestrings.Rd | 2 man/run_sea.Rd | 6 man/sea.Rd | 6 tests/testthat/test-sea.R | 8 tests/testthat/test-stats.R | 10 13 files changed, 415 insertions(+), 382 deletions(-)
Title: Load US Census Boundary and Attribute Data as 'tidyverse' and
'sf'-Ready Data Frames
Description: An integrated R interface to the decennial US Census and American Community Survey APIs and
the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as
tidyverse-ready data frames, and optionally returns a list-column with feature geometry for many
geographies.
Author: Kyle Walker [aut, cre],
Kris Eberwein [ctb]
Maintainer: Kyle Walker <kyle.walker@tcu.edu>
Diff between tidycensus versions 0.3.1 dated 2017-10-26 and 0.4 dated 2018-01-02
DESCRIPTION | 12 +-- MD5 | 24 +++---- R/acs.R | 109 +++++++++++++++++++++++++---------- R/census.R | 66 ++++++++++++++++----- R/helpers.R | 20 +++--- R/load_data.R | 157 +++++++++++++++++++++++++++++++++++---------------- R/moe.R | 26 +++++++- R/search_variables.R | 13 +--- R/utils.R | 14 +--- R/zzz.r | 2 README.md | 42 +++++++++++++ man/get_acs.Rd | 9 +- man/moe_sum.Rd | 11 ++- 13 files changed, 355 insertions(+), 150 deletions(-)
Title: A Toolbox for Model-Based Optimization of Expensive Black-Box
Functions
Description: Flexible and comprehensive R toolbox for model-based optimization
('MBO'), also known as Bayesian optimization. It is designed for both single-
and multi-objective optimization with mixed continuous, categorical and
conditional parameters. The machine learning toolbox 'mlr' provide dozens
of regression learners to model the performance of the target algorithm with
respect to the parameter settings. It provides many different infill criteria
to guide the search process. Additional features include multi-point batch
proposal, parallel execution as well as visualization and sophisticated
logging mechanisms, which is especially useful for teaching and understanding
of algorithm behavior. 'mlrMBO' is implemented in a modular fashion, such that
single components can be easily replaced or adapted by the user for specific use
cases.
Author: Bernd Bischl [aut],
Jakob Bossek [aut],
Jakob Richter [aut, cre],
Daniel Horn [aut],
Michel Lang [aut],
Janek Thomas [aut]
Maintainer: Jakob Richter <code@jakob-r.de>
Diff between mlrMBO versions 1.1.0 dated 2017-05-12 and 1.1.1 dated 2018-01-02
DESCRIPTION | 14 - LICENSE | 2 MD5 | 148 ++++++++------- NAMESPACE | 7 NEWS.md | 7 R/MBOResult.R | 13 - R/OptProblem.R | 6 R/OptState.R | 14 - R/OptState_getter.R | 5 R/SMBO.R |only R/checkLearner.R | 5 R/checkStuff.R | 14 - R/doc_error_handling.R | 6 R/doc_mbo_OptPath.R | 2 R/doc_mbo_parallel.R | 4 R/evalFinalPoint.R | 21 +- R/evalProposedPoints.R | 7 R/exampleRun.R | 4 R/exampleRunMultiObj.R | 2 R/getExtras.R | 14 - R/getSupportedMultipointInfillOptFunctions.R | 4 R/infill_crits.R | 2 R/initCrit.R | 2 R/initOptProblem.R |only R/makeMBOControl.R | 18 + R/makeMBOLearner.R | 2 R/makeProposal.R |only R/mbo.R | 26 -- R/mboContinue.R | 14 - R/mboTemplate.R | 2 R/plotExampleRun.R | 10 - R/plot_MBOResult.R | 2 R/plot_OptState.R |only R/proposePoints.R | 7 R/proposePointsByInfillOptimization.R | 13 - R/proposePointsHelpers.R | 23 +- R/proposePointsMOIMBO.R | 12 - R/proposePointsMSPOT.R | 8 R/proposePointsRandom.R | 8 R/renderExampleRunPlot.R | 10 - R/renderExampleRunPlotSingleCrit2d.R | 7 R/setMBOControlInfill.R | 2 R/setMBOControlMultiObj.R | 12 - R/setMBOControlMultiPoint.R | 6 R/zzz.R | 5 README.md | 3 build/vignette.rds |binary inst/doc/mlrMBO.html | 52 ++--- man/MBOInfillCrit.Rd | 2 man/MBOMultiObjResult.Rd | 2 man/OptProblem.Rd | 4 man/OptState.Rd | 2 man/error_handling.Rd | 6 man/exampleRun.Rd | 2 man/finalizeSMBO.Rd |only man/getSupportedMultipointInfillOptFunctions.Rd | 4 man/initCrit.Rd | 2 man/initSMBO.Rd |only man/makeMBOControl.Rd | 13 + man/makeMBOLearner.Rd | 2 man/mboContinue.Rd | 6 man/mbo_OptPath.Rd | 2 man/mbo_parallel.Rd | 4 man/plot.OptState.Rd |only man/plotExampleRun.Rd | 8 man/plotMBOResult.Rd | 2 man/proposePoints.Rd |only man/renderExampleRunPlot.Rd | 10 - man/setMBOControlInfill.Rd | 2 man/setMBOControlMultiObj.Rd | 10 - man/setMBOControlMultiPoint.Rd | 4 man/updateSMBO.Rd |only tests/testthat/Rplots.pdf |binary tests/testthat/helper_objects.R | 14 + tests/testthat/helper_zzz.R | 5 tests/testthat/test_different_learners.R | 13 - tests/testthat/test_mbo_km.R | 13 + tests/testthat/test_smbo.R |only tests/testthat/test_smoof_wrappers.R |only vignettes/supplementary/human_in_the_loop_MBO.Rmd |only vignettes/supplementary/infill_criteria.Rmd |only vignettes/supplementary/machine_learning_with_mlrmbo.Rmd |only 82 files changed, 377 insertions(+), 300 deletions(-)
Title: Hybrid Bayesian Networks Using R and JAGS
Description: Facilities for easy implementation of hybrid Bayesian networks
using R. Bayesian networks are directed acyclic graphs representing joint
probability distributions, where each node represents a random variable and
each edge represents conditionality. The full joint distribution is therefore
factorized as a product of conditional densities, where each node is assumed
to be independent of its non-descendents given information on its parent nodes.
Since exact, closed-form algorithms are computationally burdensome for inference
within hybrid networks that contain a combination of continuous and discrete
nodes, particle-based approximation techniques like Markov Chain Monte Carlo
are popular. We provide a user-friendly interface to constructing these networks
and running inference using the 'rjags' package. Econometric analyses (maximum
expected utility under competing policies, value of information) involving
decision and utility nodes are also supported.
Author: Jarrod E. Dalton <daltonj@ccf.org> and Benjamin Nutter
<benjamin.nutter@gmail.com>
Maintainer: Benjamin Nutter <benjamin.nutter@gmail.com>
Diff between HydeNet versions 0.10.6 dated 2017-12-01 and 0.10.7 dated 2018-01-02
DESCRIPTION | 6 MD5 | 42 +-- NAMESPACE | 2 R/Hyde-package.R | 2 R/HydeNetwork.R | 2 R/HydePosterior.R | 2 R/HydeUtilities.R | 4 R/expectedVariables.R | 2 R/setNode.R | 12 - R/sysdata.rda |binary R/writeJagsFormula.R | 4 build/vignette.rds |binary inst/doc/DecisionNetworks.Rmd | 2 inst/doc/DecisionNetworks.html | 355 +++++++++++++++----------------- inst/doc/GettingStartedWithHydeNet.html | 128 +++++------ inst/doc/HydeNetPlots.html | 4 inst/doc/WorkingWithHydeNetObjects.html | 106 ++++----- man/Hyde-package.Rd | 2 man/HydeNetwork.Rd | 2 man/setNode.Rd | 2 tests/testthat/test-plot.HydeNetwork.R | 2 vignettes/DecisionNetworks.Rmd | 2 22 files changed, 341 insertions(+), 342 deletions(-)
Title: Area-Proportional Euler and Venn Diagrams with Circles or
Ellipses
Description: Generate area-proportional Euler diagrams
using numerical optimization. An Euler diagram is a generalization of a Venn
diagram, relaxing the criterion that all interactions need to be
represented. Diagrams may be fit with ellipses and circles via
a wide range of inputs and can be visualized in numerous ways.
Author: Johan Larsson [aut, cre],
A. Jonathan R. Godfrey [ctb],
Tim Kelley [ctb] (Original Nelder-Mead code),
David H. Eberly [ctb] (Geometric algorithms)
Maintainer: Johan Larsson <johanlarsson@outlook.com>
Diff between eulerr versions 3.0.0 dated 2017-11-15 and 3.1.0 dated 2018-01-02
eulerr-3.0.0/eulerr/R/label.R |only eulerr-3.1.0/eulerr/DESCRIPTION | 26 eulerr-3.1.0/eulerr/MD5 | 80 eulerr-3.1.0/eulerr/NAMESPACE | 3 eulerr-3.1.0/eulerr/NEWS.md | 26 eulerr-3.1.0/eulerr/R/RcppExports.R | 24 eulerr-3.1.0/eulerr/R/euler.R | 178 - eulerr-3.1.0/eulerr/R/label.euler.R |only eulerr-3.1.0/eulerr/R/plot.euler.R | 13 eulerr-3.1.0/eulerr/R/utils.R | 40 eulerr-3.1.0/eulerr/README.md | 72 eulerr-3.1.0/eulerr/build/vignette.rds |binary eulerr-3.1.0/eulerr/inst/CITATION | 30 eulerr-3.1.0/eulerr/inst/doc/introduction.R | 107 eulerr-3.1.0/eulerr/inst/doc/introduction.Rnw | 16 eulerr-3.1.0/eulerr/inst/doc/introduction.pdf |binary eulerr-3.1.0/eulerr/inst/doc/under-the-hood.R | 521 +++- eulerr-3.1.0/eulerr/inst/doc/under-the-hood.Rnw | 1527 +++++++++----- eulerr-3.1.0/eulerr/inst/doc/under-the-hood.pdf |binary eulerr-3.1.0/eulerr/man/euler.Rd | 39 eulerr-3.1.0/eulerr/man/eulerr-package.Rd | 8 eulerr-3.1.0/eulerr/man/label.Rd | 11 eulerr-3.1.0/eulerr/man/normalize_angle.Rd |only eulerr-3.1.0/eulerr/man/normalize_pars.Rd |only eulerr-3.1.0/eulerr/src/RcppExports.cpp | 76 eulerr-3.1.0/eulerr/src/areas.h | 82 eulerr-3.1.0/eulerr/src/constants.h | 1 eulerr-3.1.0/eulerr/src/conversions.h | 73 eulerr-3.1.0/eulerr/src/geometry.h | 70 eulerr-3.1.0/eulerr/src/helpers.h | 26 eulerr-3.1.0/eulerr/src/intersections.h | 117 - eulerr-3.1.0/eulerr/src/neldermead.h | 113 - eulerr-3.1.0/eulerr/src/optim_final.cpp | 98 eulerr-3.1.0/eulerr/src/optim_init.cpp | 105 eulerr-3.1.0/eulerr/src/overlap_centers.cpp | 78 eulerr-3.1.0/eulerr/src/solver.h | 8 eulerr-3.1.0/eulerr/src/transformations.h | 30 eulerr-3.1.0/eulerr/src/utils.cpp | 36 eulerr-3.1.0/eulerr/tests/testthat/test_reproducibility.R | 45 eulerr-3.1.0/eulerr/tools/README-plot_method-1.png |binary eulerr-3.1.0/eulerr/vignettes/eulerr.bib | 912 +++++--- eulerr-3.1.0/eulerr/vignettes/introduction.Rnw | 16 eulerr-3.1.0/eulerr/vignettes/under-the-hood.Rnw | 1527 +++++++++----- 43 files changed, 3929 insertions(+), 2205 deletions(-)
Title: A Lightweight Interface for Interacting with Elasticsearch from
R
Description: A lightweight R interface to 'Elasticsearch' - a NoSQL search-engine and
column store database (see <https://www.elastic.co/products/elasticsearch> for more
information). This package implements a simple Domain-Specific Language (DSL) for indexing,
deleting, querying, sorting and aggregating data using 'Elasticsearch'.
Author: Alex Ioannides
Maintainer: Alex Ioannides <alex.ioannides@yahoo.co.uk>
Diff between elasticsearchr versions 0.2.0 dated 2016-12-19 and 0.2.1 dated 2018-01-02
DESCRIPTION | 10 +-- MD5 | 70 ++++++++++++------------ NEWS.md | 12 ++-- R/api.R | 23 ++++--- R/utils.R | 26 ++++++-- README.md | 4 - build/vignette.rds |binary inst/doc/quick_start.html | 32 +++++----- man/aggs.Rd | 1 man/check_http_code_throw_error.Rd | 1 man/cleaned_field_names.Rd | 1 man/create_bulk_upload_file.Rd | 4 - man/create_metadata.Rd | 1 man/elastic.Rd | 1 man/elastic_predicates.Rd | 5 - man/elastic_version.Rd | 1 man/elasticsearchr.Rd | 1 man/extract_query_results.Rd | 4 - man/from_size_search.Rd | 1 man/grapes-create-grapes.Rd | 1 man/grapes-delete-grapes.Rd | 1 man/grapes-index-grapes.Rd | 1 man/grapes-search-grapes.Rd | 1 man/index_bulk_dataframe.Rd | 1 man/mapping_default_simple.Rd | 1 man/mapping_fielddata_true.Rd | 1 man/plus-.elastic_api.Rd | 1 man/print.elastic_api.Rd | 1 man/query.Rd | 1 man/scroll_search.Rd | 1 man/sort_on.Rd | 1 man/valid_json.Rd | 1 man/valid_url.Rd | 1 tests/testthat/helper-elasticsearch_test_data.R | 14 +++- tests/testthat/test-api.R | 33 ++++++++--- tests/testthat/test-utils.R | 2 36 files changed, 143 insertions(+), 118 deletions(-)
More information about elasticsearchr at CRAN
Permanent link
Title: Augmented and Penalized Minimization Method L0
Description: Fit linear, logistic and Cox models regularized with L0, lasso (L1), elastic-net (L1 and L2), or net (L1 and Laplacian) penalty, and their adaptive forms, such as adaptive lasso / elastic-net and net adjusting for signs of linked coefficients. It solves L0 penalty problem by simultaneously selecting regularization parameters and the number of non-zero coefficients. This augmented and penalized minimization method provides an approximation solution to the L0 penalty problem, but runs as fast as L1 regularization problem. The package uses one-step coordinate descent algorithm and runs extremely fast by taking into account the sparsity structure of coefficients. It could deal with very high dimensional data and has superior selection performance.
Author: Xiang Li, Shanghong Xie, Donglin Zeng and Yuanjia Wang
Maintainer: Xiang Li <xli256@its.jnj.com>
Diff between APML0 versions 0.5 dated 2017-10-03 and 0.6 dated 2018-01-02
DESCRIPTION | 6 +++--- MD5 | 6 +++--- R/net_logit.R | 2 +- man/APML0-package.Rd | 4 ++-- 4 files changed, 9 insertions(+), 9 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-01-12 0.6
2016-06-13 0.5
2016-03-11 0.4.23
2015-12-10 0.4.21
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-12-13 0.1-2
2014-03-14 0.1-1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-08-08 0.4-1
2014-03-12 0.4-0
2013-06-25 0.3-4
2011-10-20 0.2-4
2010-12-07 0.2-3
2010-10-15 0.2-2
2010-08-25 0.2-1
2010-05-22 0.1-0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-08-27 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-08-03 1.0-4
2015-06-12 1.0-3
2014-01-20 1.0-2
2013-09-26 1.0
2013-08-27 0.999