Title: Welch-James Statistic for Robust Hypothesis Testing under
Heterocedasticity and Non-Normality
Description: Implementation of Johansen's general formulation of Welch-James's statistic with Approximate Degrees of Freedom, which makes it suitable for testing
any linear hypothesis concerning cell means in univariate and multivariate mixed model designs when the data pose non-normality and non-homogeneous variance. Some
improvements, namely trimmed means and Winsorized variances, and bootstrapping for calculating an empirical critical value, have been added to the classical formulation.
The code departs from a previous SAS implementation by L.M. Lix and H.J. Keselman, available at <http://supp.apa.org/psycarticles/supplemental/met_13_2_110/SAS_Program.pdf> and
published in Keselman, H.J., Wilcox, R.R., and Lix, L.M. (2003) <DOI:10.1111/1469-8986.00060>.
Author: Pablo J. Villacorta <pjvi@decsai.ugr.es>
Maintainer: Pablo J. Villacorta <pjvi@decsai.ugr.es>
Diff between welchADF versions 0.2 dated 2017-10-14 and 0.3 dated 2018-06-01
DESCRIPTION | 10 +++++----- MD5 | 14 +++++++------- R/data.R | 7 +++---- R/welch-wrapper.R | 2 +- R/wrapper-aux.R | 2 +- man/perceptionData.Rd | 7 ++----- man/welchADF.test.Rd | 2 +- man/womenStereotypeData.Rd | 2 +- 8 files changed, 21 insertions(+), 25 deletions(-)
Title: Tidy RSS for R
Description: With the objective of including data from RSS feeds into your analysis, 'tidyRSS' parses RSS, Atom XML, JSON and geoRSS feeds and returns a tidy data frame.
Author: Robert Myles McDonnell
Maintainer: Robert Myles McDonnell <robertmylesmcdonnell@gmail.com>
Diff between tidyRSS versions 1.2.3 dated 2018-01-29 and 1.2.4 dated 2018-06-01
DESCRIPTION | 11 - MD5 | 21 +-- NAMESPACE | 5 NEWS.md | 6 R/atom_parse.R | 2 R/geo_parse.R |only R/tidyfeed.R | 25 +++ R/zzz.R | 2 README.md | 104 +++++++++------ build/vignette.rds |binary inst/doc/tidyrss.html | 342 +++++++++++++++++++++++++++++++++++++++----------- man/tidyfeed.Rd | 9 + 12 files changed, 404 insertions(+), 123 deletions(-)
Title: Graphical User Interface for the Package 'SPOT'
Description: A graphical user interface for the Sequential Parameter Optimization Toolbox (package 'SPOT').
It includes a quick, graphical setup for spot, interactive 3D plots, export possibilities and more.
Author: Frederik Rehbach [aut, cre],
Martin Zaefferer [aut],
Thomas Bartz-Beielstein [ctb],
Andreas Fischbach [ctb],
Lorenzo Gentile [ctb]
Maintainer: Frederik Rehbach <frederik.rehbach@th-koeln.de>
Diff between spotGUI versions 0.1.1 dated 2018-05-29 and 0.2.0 dated 2018-06-01
spotGUI-0.1.1/spotGUI/tests/testthat/testShinyGui.R |only spotGUI-0.2.0/spotGUI/DESCRIPTION | 8 - spotGUI-0.2.0/spotGUI/MD5 | 61 ++++++--- spotGUI-0.2.0/spotGUI/NAMESPACE | 4 spotGUI-0.2.0/spotGUI/NEWS |only spotGUI-0.2.0/spotGUI/R/getServer.R | 5 spotGUI-0.2.0/spotGUI/R/getUi.R | 2 spotGUI-0.2.0/spotGUI/R/inputValidation.R | 25 ++-- spotGUI-0.2.0/spotGUI/R/packageDataStorage.R | 1 spotGUI-0.2.0/spotGUI/R/rLogCreator.R | 2 spotGUI-0.2.0/spotGUI/R/runPackageTests.R | 1 spotGUI-0.2.0/spotGUI/R/runSpotFunctions.R | 3 spotGUI-0.2.0/spotGUI/R/runSpotGUI.R | 4 spotGUI-0.2.0/spotGUI/R/smoofFunctions.R |only spotGUI-0.2.0/spotGUI/R/testFunctions.R | 8 - spotGUI-0.2.0/spotGUI/R/uiGetters.R | 23 ++- spotGUI-0.2.0/spotGUI/R/xmlDynamicUI.R | 62 +++++++--- spotGUI-0.2.0/spotGUI/inst/config.xml | 29 ++++ spotGUI-0.2.0/spotGUI/man/checkInputBounds.Rd | 1 spotGUI-0.2.0/spotGUI/man/checkInputCorrectness.Rd | 1 spotGUI-0.2.0/spotGUI/man/checkInputObjectiveFunction.Rd | 1 spotGUI-0.2.0/spotGUI/man/packageDataEnv.Rd | 2 spotGUI-0.2.0/spotGUI/man/runTests.Rd | 1 spotGUI-0.2.0/spotGUI/man/xmlGetAllConfiguredControlElements.Rd | 1 spotGUI-0.2.0/spotGUI/man/xmlGetRootElement.Rd | 1 spotGUI-0.2.0/spotGUI/tests/testthat/testSmoofPackage.R |only spotGUI-0.2.0/spotGUI/tests/testthat/testZShinyGui.R |only spotGUI-0.2.0/spotGUI/tests/testthat/tests/3dimBranin-current |only spotGUI-0.2.0/spotGUI/tests/testthat/tests/basicRunSpot.R | 2 spotGUI-0.2.0/spotGUI/tests/testthat/tests/testBranin_RF_LBFGSB_UR-current |only spotGUI-0.2.0/spotGUI/tests/testthat/tests/testFunBranin.R |only spotGUI-0.2.0/spotGUI/tests/testthat/tests/testFunRastrigin-expected |only spotGUI-0.2.0/spotGUI/tests/testthat/tests/testFunRastrigin.R |only spotGUI-0.2.0/spotGUI/tests/testthat/tests/testGenoud4DimRF-current |only spotGUI-0.2.0/spotGUI/tests/testthat/tests/testOnlyRLog-current |only spotGUI-0.2.0/spotGUI/tests/testthat/tests/testSmoofBirdFunction-expected |only spotGUI-0.2.0/spotGUI/tests/testthat/tests/testSmoofBirdFunction.R |only spotGUI-0.2.0/spotGUI/tests/testthat/tests/testWrongEnvironmentFunction-current |only spotGUI-0.2.0/spotGUI/tests/testthat/tests/testWrongInputEvaluatePoints-current |only 39 files changed, 180 insertions(+), 68 deletions(-)
Title: Simulate Models Based on the Generalized Linear Model
Description: Easily simulates regression models,
including both simple regression and generalized linear mixed
models with up to three level of nesting. Power simulations that are
flexible allowing the specification of missing data, unbalanced designs,
and different random error distributions are built into the package.
Author: Brandon LeBeau [aut, cre]
Maintainer: Brandon LeBeau <lebebr01+simglm@gmail.com>
Diff between simglm versions 0.6.0 dated 2017-07-24 and 0.7.0 dated 2018-06-01
simglm-0.6.0/simglm/inst/doc/GeneralizedModels.R |only simglm-0.6.0/simglm/inst/doc/GeneralizedModels.Rmd |only simglm-0.6.0/simglm/inst/doc/GeneralizedModels.html |only simglm-0.6.0/simglm/inst/doc/Intro.R |only simglm-0.6.0/simglm/inst/doc/Intro.Rmd |only simglm-0.6.0/simglm/inst/doc/Intro.html |only simglm-0.6.0/simglm/inst/doc/Missing.R |only simglm-0.6.0/simglm/inst/doc/Missing.Rmd |only simglm-0.6.0/simglm/inst/doc/Missing.html |only simglm-0.6.0/simglm/inst/doc/Power.R |only simglm-0.6.0/simglm/inst/doc/Power.Rmd |only simglm-0.6.0/simglm/inst/doc/Power.html |only simglm-0.6.0/simglm/inst/doc/unbalanced.R |only simglm-0.6.0/simglm/inst/doc/unbalanced.Rmd |only simglm-0.6.0/simglm/inst/doc/unbalanced.html |only simglm-0.6.0/simglm/man/dropout_missing.Rd |only simglm-0.6.0/simglm/man/mar_missing.Rd |only simglm-0.6.0/simglm/man/missing_data.Rd |only simglm-0.6.0/simglm/man/random_missing.Rd |only simglm-0.6.0/simglm/vignettes/GeneralizedModels.Rmd |only simglm-0.6.0/simglm/vignettes/Intro.Rmd |only simglm-0.6.0/simglm/vignettes/Missing.Rmd |only simglm-0.6.0/simglm/vignettes/Power.Rmd |only simglm-0.6.0/simglm/vignettes/unbalanced.Rmd |only simglm-0.7.0/simglm/DESCRIPTION | 13 simglm-0.7.0/simglm/MD5 | 167 +-- simglm-0.7.0/simglm/NAMESPACE | 35 simglm-0.7.0/simglm/NEWS.md | 12 simglm-0.7.0/simglm/R/data_glm.r | 23 simglm-0.7.0/simglm/R/data_reg.r | 101 ++ simglm-0.7.0/simglm/R/err_sim.r | 49 simglm-0.7.0/simglm/R/fixef_sim.r | 531 ++++++++-- simglm-0.7.0/simglm/R/missing_data.r | 183 +-- simglm-0.7.0/simglm/R/parse_formula.r |only simglm-0.7.0/simglm/R/pow_sim.r | 647 ++++++++++--- simglm-0.7.0/simglm/R/pow_sim_glm.r | 288 +++-- simglm-0.7.0/simglm/R/rand_eff_sim.r | 163 +++ simglm-0.7.0/simglm/R/sim_glm_func.r | 106 +- simglm-0.7.0/simglm/R/sim_pow.r | 145 ++ simglm-0.7.0/simglm/R/sim_reg.r | 75 + simglm-0.7.0/simglm/R/sim_reg_func.r | 128 ++ simglm-0.7.0/simglm/R/simglm_master_function.r |only simglm-0.7.0/simglm/R/util.r | 125 ++ simglm-0.7.0/simglm/README.md | 1 simglm-0.7.0/simglm/build/vignette.rds |binary simglm-0.7.0/simglm/inst/doc/GeneralizedModels_legacy.R |only simglm-0.7.0/simglm/inst/doc/GeneralizedModels_legacy.Rmd |only simglm-0.7.0/simglm/inst/doc/GeneralizedModels_legacy.html |only simglm-0.7.0/simglm/inst/doc/Intro_legacy.R |only simglm-0.7.0/simglm/inst/doc/Intro_legacy.Rmd |only simglm-0.7.0/simglm/inst/doc/Intro_legacy.html |only simglm-0.7.0/simglm/inst/doc/Power_legacy.R |only simglm-0.7.0/simglm/inst/doc/Power_legacy.Rmd |only simglm-0.7.0/simglm/inst/doc/Power_legacy.html |only simglm-0.7.0/simglm/inst/doc/simulation_arguments.R |only simglm-0.7.0/simglm/inst/doc/simulation_arguments.Rmd |only simglm-0.7.0/simglm/inst/doc/simulation_arguments.html |only simglm-0.7.0/simglm/inst/doc/tidy_simulation.R |only simglm-0.7.0/simglm/inst/doc/tidy_simulation.Rmd |only simglm-0.7.0/simglm/inst/doc/tidy_simulation.html |only simglm-0.7.0/simglm/inst/doc/unbalanced_legacy.R |only simglm-0.7.0/simglm/inst/doc/unbalanced_legacy.Rmd |only simglm-0.7.0/simglm/inst/doc/unbalanced_legacy.html |only simglm-0.7.0/simglm/inst/shiny_examples/demo/global.r | 20 simglm-0.7.0/simglm/inst/shiny_examples/demo/server.r | 21 simglm-0.7.0/simglm/man/compute_statistics.Rd |only simglm-0.7.0/simglm/man/cross_class.Rd |only simglm-0.7.0/simglm/man/extract_coefficients.Rd |only simglm-0.7.0/simglm/man/generate_missing.Rd |only simglm-0.7.0/simglm/man/generate_response.Rd |only simglm-0.7.0/simglm/man/missing.Rd |only simglm-0.7.0/simglm/man/model_fit.Rd |only simglm-0.7.0/simglm/man/parse_crossclass.Rd |only simglm-0.7.0/simglm/man/parse_formula.Rd |only simglm-0.7.0/simglm/man/parse_power.Rd |only simglm-0.7.0/simglm/man/parse_randomeffect.Rd |only simglm-0.7.0/simglm/man/parse_varyarguments.Rd |only simglm-0.7.0/simglm/man/replicate_simulation.Rd |only simglm-0.7.0/simglm/man/sim_continuous2.Rd |only simglm-0.7.0/simglm/man/sim_factor.Rd | 12 simglm-0.7.0/simglm/man/sim_factor2.Rd |only simglm-0.7.0/simglm/man/sim_fixef_nested.Rd | 16 simglm-0.7.0/simglm/man/sim_fixef_nested3.Rd | 12 simglm-0.7.0/simglm/man/sim_fixef_single.Rd | 11 simglm-0.7.0/simglm/man/sim_glm.Rd | 30 simglm-0.7.0/simglm/man/sim_glm_nested.Rd | 31 simglm-0.7.0/simglm/man/sim_glm_nested3.Rd | 30 simglm-0.7.0/simglm/man/sim_glm_single.Rd | 10 simglm-0.7.0/simglm/man/sim_knot.Rd |only simglm-0.7.0/simglm/man/sim_pow.Rd | 64 + simglm-0.7.0/simglm/man/sim_pow_glm.Rd | 47 simglm-0.7.0/simglm/man/sim_pow_glm_nested.Rd | 47 simglm-0.7.0/simglm/man/sim_pow_glm_nested3.Rd | 47 simglm-0.7.0/simglm/man/sim_pow_glm_single.Rd | 28 simglm-0.7.0/simglm/man/sim_pow_nested.Rd | 58 + simglm-0.7.0/simglm/man/sim_pow_nested3.Rd | 56 + simglm-0.7.0/simglm/man/sim_pow_single.Rd | 35 simglm-0.7.0/simglm/man/sim_reg.Rd | 31 simglm-0.7.0/simglm/man/sim_reg_nested.Rd | 35 simglm-0.7.0/simglm/man/sim_reg_nested3.Rd | 31 simglm-0.7.0/simglm/man/sim_reg_single.Rd | 10 simglm-0.7.0/simglm/man/sim_time.Rd |only simglm-0.7.0/simglm/man/simglm.Rd | 20 simglm-0.7.0/simglm/man/simulate_error.Rd |only simglm-0.7.0/simglm/man/simulate_fixed.Rd |only simglm-0.7.0/simglm/man/simulate_randomeffect.Rd |only simglm-0.7.0/simglm/man/transform_outcome.Rd |only simglm-0.7.0/simglm/tests/testthat/test_cross_class.r |only simglm-0.7.0/simglm/tests/testthat/test_factor.r | 25 simglm-0.7.0/simglm/tests/testthat/test_fixef.r | 14 simglm-0.7.0/simglm/tests/testthat/test_knots.r |only simglm-0.7.0/simglm/tests/testthat/test_missing.r | 8 simglm-0.7.0/simglm/tests/testthat/test_model_spec.r | 105 -- simglm-0.7.0/simglm/tests/testthat/test_power_struc.r | 42 simglm-0.7.0/simglm/tests/testthat/test_power_vary.r | 35 simglm-0.7.0/simglm/vignettes/GeneralizedModels_legacy.Rmd |only simglm-0.7.0/simglm/vignettes/Intro_legacy.Rmd |only simglm-0.7.0/simglm/vignettes/Power_legacy.Rmd |only simglm-0.7.0/simglm/vignettes/simulation_arguments.Rmd |only simglm-0.7.0/simglm/vignettes/tidy_simulation.Rmd |only simglm-0.7.0/simglm/vignettes/unbalanced_legacy.Rmd |only 121 files changed, 2902 insertions(+), 821 deletions(-)
Title: Objective Bayesian Model Discrimination in Follow-Up Designs
Description: Implements the objective Bayesian methodology proposed in Consonni and Deldossi in order to choose the optimal experiment that better discriminate between competing models. G.Consonni, L. Deldossi (2014) Objective Bayesian Model Discrimination in Follow-up Experimental Designs, Test. <DOI:10.1007/s11749-015-0461-3>.
Author: Laura Deldossi and Marta Nai Ruscone based on Daniel Meyer's code (2016)
Maintainer: Marta Nai Ruscone <mnairuscone@liuc.it>
Diff between OBsMD versions 2.1 dated 2018-01-22 and 3.0 dated 2018-06-01
DESCRIPTION | 8 - MD5 | 20 +-- NAMESPACE | 1 R/OMD.R | 122 +++++++++----------- R/combinations.R |only R/plot.OBsProb.r | 63 +++------- R/summary.OMD.R | 58 ++++----- man/OBsMD-package.Rd | 66 +++++----- man/OMD.Rd | 310 ++++++++++++++++++++++++--------------------------- man/combinations.Rd |only man/print.OMD.Rd | 190 +++++++++++++++---------------- man/summary.OMD.Rd | 174 +++++++++++++--------------- 12 files changed, 486 insertions(+), 526 deletions(-)
Title: Discontinuous Regression and Image Processing
Description: This is a collection of functions for discontinuous regression
analysis and image processing (DRIP). A recent addition is the
blind image deblurring via jump-preserving extrapolation.
Author: Yicheng Kang <kangx276@umn.edu>
Maintainer: Yicheng Kang <kangx276@umn.edu>
Diff between DRIP versions 1.1 dated 2015-09-26 and 1.3 dated 2018-06-01
DRIP-1.1/DRIP/INDEX |only DRIP-1.3/DRIP/DESCRIPTION | 13 +- DRIP-1.3/DRIP/MD5 | 91 ++++++++++++-------- DRIP-1.3/DRIP/NAMESPACE | 6 - DRIP-1.3/DRIP/R/JPLLK_surface.r | 4 DRIP-1.3/DRIP/R/cv.jpex.R |only DRIP-1.3/DRIP/R/jpex.R |only DRIP-1.3/DRIP/R/surfaceCluster.r | 41 ++++----- DRIP-1.3/DRIP/R/surfaceCluster_bandwidth.r |only DRIP-1.3/DRIP/data/brain.RData |binary DRIP-1.3/DRIP/data/circles.RData |binary DRIP-1.3/DRIP/data/kid.RData |binary DRIP-1.3/DRIP/data/lena.RData |binary DRIP-1.3/DRIP/data/peppers.RData |binary DRIP-1.3/DRIP/data/sar.RData |binary DRIP-1.3/DRIP/data/stopsign.RData |only DRIP-1.3/DRIP/man/cv.jpex.Rd |only DRIP-1.3/DRIP/man/jpex.Rd |only DRIP-1.3/DRIP/man/stopsign.Rd |only DRIP-1.3/DRIP/man/surfaceCluster.Rd | 19 ++-- DRIP-1.3/DRIP/man/surfaceCluster_bandwidth.Rd |only DRIP-1.3/DRIP/src/JPEX0.c |only DRIP-1.3/DRIP/src/LMF.f90 |only DRIP-1.3/DRIP/src/LOOCV.c |only DRIP-1.3/DRIP/src/Makevars |only DRIP-1.3/DRIP/src/cluster_cwm_deblur.f90 |only DRIP-1.3/DRIP/src/cluster_cwm_deblur_bandwidth.f90 |only DRIP-1.3/DRIP/src/cluster_cwm_denoise.f90 |only DRIP-1.3/DRIP/src/cluster_cwm_denoise_bandwidth.f90 |only DRIP-1.3/DRIP/src/cluster_deblur.f90 | 12 +- DRIP-1.3/DRIP/src/cluster_denoise.f90 | 12 +- DRIP-1.3/DRIP/src/deblur_3stage.f90 | 10 +- DRIP-1.3/DRIP/src/deblur_3stage_bandwidth.f90 | 31 +++--- DRIP-1.3/DRIP/src/denoise_3stage.f90 | 10 +- DRIP-1.3/DRIP/src/denoise_3stage_bandwidth.f90 | 16 +-- DRIP-1.3/DRIP/src/extend.f90 | 4 DRIP-1.3/DRIP/src/extend1.f90 | 6 - DRIP-1.3/DRIP/src/extend_c.c |only DRIP-1.3/DRIP/src/functions.h |only DRIP-1.3/DRIP/src/jp_llk_cv.f90 | 4 DRIP-1.3/DRIP/src/jp_llk_fit.f90 | 4 DRIP-1.3/DRIP/src/ker.f90 | 22 ++-- DRIP-1.3/DRIP/src/ker1.f90 | 29 ++---- DRIP-1.3/DRIP/src/ker_c.c |only DRIP-1.3/DRIP/src/lc2k_diff.f90 | 4 DRIP-1.3/DRIP/src/lck_diff.f90 | 4 DRIP-1.3/DRIP/src/ll2k_diff.f90 | 4 DRIP-1.3/DRIP/src/llk_diff.f90 | 4 DRIP-1.3/DRIP/src/median.f90 |only DRIP-1.3/DRIP/src/qsortd.f90 |only DRIP-1.3/DRIP/src/registerDynamicSymbol.c |only DRIP-1.3/DRIP/src/roofDetect_deblur.f90 | 16 +-- DRIP-1.3/DRIP/src/roofDetect_denoise.f90 | 16 +-- DRIP-1.3/DRIP/src/roofDiff_deblur.f90 | 10 +- DRIP-1.3/DRIP/src/roofDiff_denoise.f90 | 10 +- DRIP-1.3/DRIP/src/roofEdgeParSel_deblur.f90 | 13 +- DRIP-1.3/DRIP/src/roofEdgeParSel_denoise.f90 | 13 +- DRIP-1.3/DRIP/src/surfest.f90 | 34 ++++--- 58 files changed, 255 insertions(+), 207 deletions(-)
Title: Estimation and Hypothesis Testing for Threshold Regression
Description: Threshold regression models are also called two-phase regression, broken-stick regression, split-point regression, structural change models, and regression kink models. Methods for both continuous and discontinuous threshold models are included, but the support for the former is much greater. This package is described in Fong, Huang, Gilbert and Permar (2017) chngpt: threshold regression model estimation and inference, BMC Bioinformatics, in press, <DOI:10.1186/s12859-017-1863-x>.
Author: Youyi Fong [cre],
Zonglin He [aut]
Maintainer: Youyi Fong <youyifong@gmail.com>
Diff between chngpt versions 2018.5-2 dated 2018-05-02 and 2018.6-2 dated 2018-06-01
ChangeLog | 4 DESCRIPTION | 6 MD5 | 22 +- R/chngpt.test.R | 10 - R/chngptm.R | 70 +++++-- R/sim.chngpt.R | 18 + inst/doc/chngpt-vignette.pdf |binary inst/unitTests/runit.chngpt.test.R | 6 inst/unitTests/runit.chngptm.R | 33 +-- man/chngptm.Rd | 5 man/sim.chngpt.Rd | 4 src/chnpgt_boot.cc | 354 ++++++++++++++++++------------------- 12 files changed, 292 insertions(+), 240 deletions(-)
Title: Tables for Quantitative Scientists
Description: Contains three main functions (i.e., three pieces of furniture):
table1() which produces a well-formatted table of descriptives common as Table 1
in research articles, tableC() which produces a well-formatted table of correlations,
tableF() which provides frequency counts, and washer() which
is helpful in cleaning up the data. These furniture-themed functions are designed
to simplify common tasks in quantitative analysis. Other data summary and cleaning tools
are also available.
Author: Tyson S. Barrett [aut, cre] (<https://orcid.org/0000-0002-2137-1391>),
Emily Brignone [aut],
Daniel J. Laxman [aut]
Maintainer: Tyson S. Barrett <t.barrett@aggiemail.usu.edu>
Diff between furniture versions 1.7.6 dated 2018-04-06 and 1.7.9 dated 2018-06-01
DESCRIPTION | 23 +-- MD5 | 33 ++-- NAMESPACE | 2 NEWS.md | 4 R/Table1.R | 25 ++- R/nhanes_data.R | 2 R/table1_utils.R | 16 ++ R/to_latex2.R | 12 + R/utils.R | 8 + R/zzz.R | 2 build/vignette.rds |binary inst/doc/Furniture.html | 282 ++++++++++++++++++++--------------------- inst/doc/Table1.html | 6 man/nhanes_2010.Rd | 2 man/pipe.Rd |only man/table1.Rd | 6 man/to_latex.Rd | 7 - tests/testthat/test_widelong.R | 1 18 files changed, 236 insertions(+), 195 deletions(-)
Title: Calculate Cluster-Robust p-Values and Confidence Intervals
Description: Calculate p-values and confidence intervals using cluster-adjusted
t-statistics (based on Ibragimov and Muller (2010) <DOI:10.1198/jbes.2009.08046>, pairs cluster bootstrapped t-statistics, and wild cluster bootstrapped t-statistics (the latter two techniques based on Cameron, Gelbach, and Miller (2008) <DOI:10.1162/rest.90.3.414>. Procedures are included for use with GLM, ivreg, plm (pooling or fixed effects), and mlogit models.
Author: Justin Esarey [aut, cre]
Maintainer: Justin Esarey <justin@justinesarey.com>
Diff between clusterSEs versions 2.4.1 dated 2017-09-28 and 2.5 dated 2018-06-01
DESCRIPTION | 8 +++---- MD5 | 22 ++++++++++---------- R/clusterBS.glm.R | 13 +++++++++--- R/clusterBS.ivreg.R | 9 +++++++- R/clusterBS.plm.R | 12 ++++++++++- R/clusterIM.glm.R | 26 ++++++++++++++++++++---- R/clusterIM.ivreg.R | 28 ++++++++++++++++++++++---- R/clusterIM.mlogit.R | 5 ++++ R/clusterwild.glm.R | 53 +++++++++++++++++++++++++++++--------------------- R/clusterwild.ivreg.R | 31 +++++++++++++++++++---------- R/clusterwild.plm.R | 22 ++++++++++++-------- R/zzz.R | 2 - 12 files changed, 161 insertions(+), 70 deletions(-)
Title: A Dependency Management System for Projects and their R Package
Dependencies
Description: Manage the R packages your project depends
on in an isolated, portable, and reproducible way.
Author: Kevin Ushey, Jonathan McPherson, Joe Cheng, Aron Atkins, JJ Allaire
Maintainer: Kevin Ushey <kevin@rstudio.com>
Diff between packrat versions 0.4.9-2 dated 2018-04-20 and 0.4.9-3 dated 2018-06-01
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- R/cranlike-repositories.R | 8 +++++++- inst/resources/init-rprofile.R | 2 +- inst/resources/init.R | 2 +- tests/testthat/test-dependencies.R | 6 +++--- 6 files changed, 20 insertions(+), 14 deletions(-)
Title: Insertion/Deletion Dynamics for Transposable Elements
Description: Provides functions to estimate the insertion and deletion rates of transposable element (TE) families. The estimation of insertion rate consists of an improved estimate of the age distribution that takes into account random mutations, and an adjustment by the deletion rate. A hypothesis test for a uniform insertion rate is also implemented. This package implements the methods proposed in Dai et al (2018).
Author: Xiongtao Dai [aut, cre, cph],
Hao Wang [aut],
Jan Dvorak [ctb],
Jeffrey Bennetzen [ctb],
Hans-Georg Mueller [ctb]
Maintainer: Xiongtao Dai <dai@ucdavis.edu>
Diff between TE versions 0.1-1 dated 2018-01-16 and 0.2-2 dated 2018-06-01
DESCRIPTION | 6 - MD5 | 21 ++-- NAMESPACE | 6 + R/AetLTR.R | 2 R/AlyLTR.R |only R/func.R | 273 +++++++++++++++++++++++++++++++++++++++++++++-------- R/pkgname.R | 2 data/AetLTR.rda |binary data/AlyLTR.rda |only man/AetLTR.Rd | 2 man/AlyLTR.Rd |only man/EstDynamics.Rd | 4 man/MasterGene.Rd |only man/MatrixModel.Rd |only 14 files changed, 263 insertions(+), 53 deletions(-)
Title: The Moving Epidemic Method
Description: The Moving Epidemic Method, created by T Vega and JE Lozano (2012, 2015) <doi:10.1111/j.1750-2659.2012.00422.x>, <doi:10.1111/irv.12330>, allows the weekly assessment of the epidemic and intensity status to help in routine respiratory infections surveillance in health systems. Allows the comparison of different epidemic indicators, timing and shape with past epidemics and across different regions or countries with different surveillance systems. Also, it gives a measure of the performance of the method in terms of sensitivity and specificity of the alert week.
Author: Jose E. Lozano [aut, cre]
Maintainer: Jose E. Lozano <lozalojo@gmail.com>
Diff between mem versions 2.12 dated 2018-03-02 and 2.13 dated 2018-06-01
mem-2.12/mem/R/mem-package.R |only mem-2.13/mem/DESCRIPTION | 13 - mem-2.13/mem/MD5 | 60 +++-- mem-2.13/mem/NAMESPACE | 30 ++ mem-2.13/mem/R/calcular.indicadores.R | 2 mem-2.13/mem/R/calcular.map.R | 1 mem-2.13/mem/R/calcular.optimo.R | 17 - mem-2.13/mem/R/calcular.optimo.criterio.R | 47 ++-- mem-2.13/mem/R/calcular.optimo.derivada.R | 24 +- mem-2.13/mem/R/calcular.optimo.original.R | 11 - mem-2.13/mem/R/calcular.optimo.pendiente.R | 7 mem-2.13/mem/R/iconfianza.R | 14 - mem-2.13/mem/R/iconfianza.percentil.eqnpar.R |only mem-2.13/mem/R/mem.R |only mem-2.13/mem/R/memgoodness.R | 184 ++++++++-------- mem-2.13/mem/R/memmodel.R | 260 +++++++++++++----------- mem-2.13/mem/R/memtiming.R | 9 mem-2.13/mem/R/optimal.tickmarks.R | 62 ++--- mem-2.13/mem/R/optimum.by.inspection.R | 4 mem-2.13/mem/R/percentage.added.R |only mem-2.13/mem/R/suavizado.R | 19 + mem-2.13/mem/R/transformseries.R | 13 - mem-2.13/mem/R/transformseries.loess.R |only mem-2.13/mem/R/transformseries.multiple.R |only mem-2.13/mem/R/transformseries.twowaves.R | 155 ++++---------- mem-2.13/mem/README.md | 13 - mem-2.13/mem/man/calcular.optimo.original.Rd | 2 mem-2.13/mem/man/iconfianza.percentil.eqnpar.Rd |only mem-2.13/mem/man/mem-package.Rd | 113 +--------- mem-2.13/mem/man/memmodel.Rd | 21 + mem-2.13/mem/man/memtiming.Rd | 1 mem-2.13/mem/man/percentage.added.Rd |only mem-2.13/mem/man/transformseries.Rd | 3 mem-2.13/mem/man/transformseries.loess.Rd |only mem-2.13/mem/man/transformseries.multiple.Rd |only mem-2.13/mem/man/transformseries.twowaves.Rd | 4 36 files changed, 532 insertions(+), 557 deletions(-)
Title: Download Image Files from the 'NeuroImaging Tools and Resources
Collaboratory'
Description: Parses and downloads images from various 'NeuroImaging Tools and Resources Collaboratory' <https://www.nitrc.org> sets.
Author: Adi Gherman [aut, cre],
John Muschelli [aut]
Maintainer: Adi Gherman <adig@jhu.edu>
Diff between nitrcbot versions 1.0 dated 2018-03-13 and 1.2 dated 2018-06-01
DESCRIPTION | 11 ++-- MD5 | 71 ++++++++++++++++-------------- NAMESPACE | 4 + NEWS.md |only R/download_nitrc_dir.R | 7 ++ R/download_nitrc_file.R | 4 + R/get_scan_params.R | 12 +++-- R/get_scan_resources.R | 23 ++++++--- R/is_this_public.R | 16 +++--- R/list_image_sets.R | 9 ++- R/nitrc_demographics.R | 24 +++++++--- R/nitrc_scandata.R | 21 ++++++-- R/read_nitrc_project.R | 22 ++++++--- R/set_credentials.R | 53 ++++++++++++++++++---- README.md | 15 +++++- build |only inst |only man/download_nitrc_dir.Rd | 7 ++ man/download_nitrc_file.Rd | 5 ++ man/get_scan_params.Rd | 5 +- man/get_scan_resources.Rd | 6 ++ man/list_image_sets.Rd | 1 man/nitrc_demographics.Rd | 9 +++ man/nitrc_scandata.Rd | 8 ++- man/query_nitrc.Rd |only man/read_nitrc_project.Rd | 10 +++- man/set_credentials.Rd | 3 + tests/testthat/test-download-nitrc-dir.R | 1 tests/testthat/test-download-nitrc-file.R | 1 tests/testthat/test-get-scan-params.R | 5 -- tests/testthat/test-get-scan-resources.R | 5 -- tests/testthat/test-is-this-public.R | 1 tests/testthat/test-list-image-sets.R | 1 tests/testthat/test-nitrc-demographics.R | 5 -- tests/testthat/test-nitrc-scandata.R | 5 -- tests/testthat/test-read-nitrc-project.R | 5 -- tests/testthat/test-set-credentials.R | 5 +- vignettes |only 38 files changed, 271 insertions(+), 109 deletions(-)
Title: Fuzzy Set Ordination
Description: Fuzzy set ordination is a multivariate analysis used in ecology to
relate the composition of samples to possible explanatory variables. While
differing in theory and method, in practice, the use is similar to 'constrained
ordination.' The package contains plotting and summary functions as well as
the analyses.
Author: David W. Roberts <droberts@montana.edu>
Maintainer: David W. Roberts <droberts@montana.edu>
Diff between fso versions 2.0-1 dated 2013-02-26 and 2.1-1 dated 2018-06-01
DESCRIPTION | 21 +++++++++---------- MD5 | 19 +++++++++--------- NAMESPACE | 58 ++++++++++++++++++++++++++++++++++++++++++++++++------- R/fso.R | 47 +++++++++++++++++++++----------------------- inst/ChangeLog | 13 +++++------- man/fso.Rd | 17 ++++++---------- man/mfso.Rd | 11 +++------- man/plot.fso.Rd | 5 ---- man/plot.mfso.Rd | 17 ++-------------- man/step.mfso.Rd | 24 +++++++++------------- src/fso_init.c |only 11 files changed, 124 insertions(+), 108 deletions(-)
Title: Interface to Geometry Engine - Open Source ('GEOS')
Description: Interface to Geometry Engine - Open Source ('GEOS') using the C 'API' for topology operations on geometries. The 'GEOS' library is external to the package, and, when installing the package from source, must be correctly installed first. Windows and Mac Intel OS X binaries are provided on 'CRAN'.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>),
Colin Rundel [aut],
Edzer Pebesma [ctb],
Rainer Stuetz [ctb],
Karl Ove Hufthammer [ctb],
Patrick Giraudoux [ctb],
Martin Davis [cph, ctb],
Sandro Santilli [cph, ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>
Diff between rgeos versions 0.3-26 dated 2017-10-31 and 0.3-27 dated 2018-06-01
DESCRIPTION | 22 ++++++++++++++-------- LICENSE.note |only MD5 | 13 ++++++++----- NAMESPACE | 2 +- R/bbox2SP.R |only configure | 18 +++++++++--------- man/bbox2SP.rd |only src/rgeos.c | 22 ++++++++++++---------- src/rgeos_validate.c | 2 ++ 9 files changed, 46 insertions(+), 33 deletions(-)
Title: Emissions and Statistics in R for Wastewater and Pollutants in
Combined Sewer Systems
Description: Provides a fast and parallelised calculator to estimate combined wastewater emissions.
It supports the planning and design of urban drainage systems, without the requirement of
extensive simulation tools. The 'EmiStatR' package implements modular R methods. This enables
to add new functionalities through the R framework. Furthermore, 'EmiStatR' was implemented
with an interactive user interface with sliders and input data exploration.
Author: J.A. Torres-Matallana [aut, cre]
K. Klepiszewski [aut, cre]
U. Leopold [ctb]
G. Schutz [ctb]
G.B.M. Heuvelink [ctb]
Maintainer: J.A. Torres-Matallana <arturo.torres@list.lu>
Diff between EmiStatR versions 1.2.0.6 dated 2018-02-08 and 1.2.1.0 dated 2018-06-01
DESCRIPTION | 8 MD5 | 32 R/EmiStatR.R | 21 data/Esch_Sure2010.rda |binary data/P1.rda |binary data/P1_20111216.rda |only inst/shiny/EmiStatR_input/input/infiltration.RData |binary inst/shiny/EmiStatR_input/input/rainwater.RData |binary inst/shiny/EmiStatR_input/input/tmp/P1.RData |binary inst/shiny/EmiStatR_input/input/tmp/P1.csv |57026 +--------------- inst/shiny/EmiStatR_input/input/tmp/rainwater.RData |binary inst/shiny/EmiStatR_input/input/wastewater.RData |binary inst/shiny/EmiStatR_inputCSO/inputCSO/E1_inputCSO.RData |binary inst/shiny/EmiStatR_inputCSO/inputCSO/E2_inputCSO.RData |binary inst/shiny/EmiStatR_inputCSO/inputCSO/E3_inputCSO.RData |binary man/EmiStatR-package.Rd | 4 man/P1_20111216.Rd |only man/input-class.Rd | 16 18 files changed, 4517 insertions(+), 52590 deletions(-)
Title: Downloads, Unpacks and Tidies Legislative Data from the
Brazilian Federal Senate and Chamber of Deputies
Description: Downloads and tidies data from the Brazilian Federal Senate and
Chamber of Deputies Application Programming Interfaces available at <http://
legis.senado.gov.br/dadosabertos/> and <http://www.camara.leg.br/SitCamaraWS/>
respectively.
Author: Robert McDonnell [aut, cre],
Guilherme Jardim Duarte [aut],
Danilo Freire [aut],
Julio Trecenti [aut]
Maintainer: Robert McDonnell <mcdonnell.robert5@gmail.com>
Diff between congressbr versions 0.1.2 dated 2018-05-16 and 0.1.3 dated 2018-06-01
DESCRIPTION | 6 +-- MD5 | 18 ++++++----- NAMESPACE | 1 NEWS.md | 6 +++ R/cham_deputy_list.R |only R/cham_votes.R | 5 ++- R/util.R | 2 - README.md | 3 + inst/doc/chamber.html | 50 ++++++++++++++++-------------- inst/doc/senate.html | 71 +++++++++++++++++++++++++------------------- man/cham_legislator_list.Rd |only 11 files changed, 94 insertions(+), 68 deletions(-)
Title: Stanford 'ATLAS' Search Engine API
Description: Stanford 'ATLAS' (Advanced Temporal Search Engine) is a powerful tool that allows constructing
cohorts of patients extremely quickly and efficiently. This package is designed to interface directly
with an instance of 'ATLAS' search engine and facilitates API queries and data dumps. Prerequisite
is a good knowledge of the temporal language to be able to efficiently construct a query.
More information available at <https://shahlab.stanford.edu/start>.
Author: Vladimir Polony
Maintainer: Vladimir Polony <podalv@gmail.com>
Diff between atlas versions 0.5.0 dated 2018-05-29 and 0.6.0 dated 2018-06-01
DESCRIPTION | 6 +++--- MD5 | 4 ++-- R/query.R | 3 --- 3 files changed, 5 insertions(+), 8 deletions(-)
Title: Create American Psychological Association (APA) Style Tables
Description: A common task faced by researchers is the creation of APA style
(i.e., American Psychological Association style) tables from statistical
output. In R a large number of function calls are often needed to obtain all of
the desired information for a single APA style table. As well, the process of
manually creating APA style tables in a word processor is prone to transcription
errors. This package creates Word files (.doc files) containing APA style tables
for several types of analyses. Using this package minimizes transcription errors
and reduces the number commands needed by the user.
Author: David Stanley [aut, cre]
Maintainer: David Stanley <dstanley@uoguelph.ca>
Diff between apaTables versions 2.0.2 dated 2018-03-02 and 2.0.3 dated 2018-06-01
DESCRIPTION | 10 +++++----- MD5 | 24 ++++++++++++------------ NEWS.md | 8 ++++++++ R/apaEZANOVA.R | 6 ++++-- R/apaRegressionTable.R | 19 ++++++++++++++++++- R/apaTables.R | 4 ++-- README.md | 1 + inst/doc/apaTables.R | 24 +++++++++++++++++++----- inst/doc/apaTables.Rmd | 23 +++++++++++++++++++---- inst/doc/apaTables.html | 6 +++--- man/apa.ezANOVA.table.Rd | 6 ++++-- man/apaTables.Rd | 4 ++-- vignettes/apaTables.Rmd | 23 +++++++++++++++++++---- 13 files changed, 116 insertions(+), 42 deletions(-)
Title: Robust Asymptotic Statistics
Description: Base S4-classes and functions for robust asymptotic statistics.
Author: Matthias Kohl [cre, cph, aut],
Peter Ruckdeschel [aut, cph],
Mykhailo Pupashenko [ctb] (contributed wrapper functions for diagnostic
plots),
Gerald Kroisandt [ctb] (contributed testing routines),
R Core Team [ctb, cph] (for source file 'format.perc')
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>
Diff between RobAStBase versions 1.0.1 dated 2017-04-23 and 1.0.2 dated 2018-06-01
DESCRIPTION | 14 MD5 | 8 R/infoPlot.R | 1260 ++++++++++++++++++++++----------------------- inst/NEWS | 871 +++++++++++++++---------------- man/0RobAStBase-package.Rd | 114 ++-- 5 files changed, 1136 insertions(+), 1131 deletions(-)
Title: Person Fit
Description: Several person-fit statistics (PFSs) are offered. These statistics allow assessing whether
individual response patterns to tests or questionnaires are (im)plausible given
the other respondents in the sample or given a specified item response theory model. Some PFSs apply to
dichotomous data, such as the likelihood-based PFSs (lz, lz*) and the group-based PFSs
(personal biserial correlation, caution index, (normed) number of Guttman errors,
agreement/disagreement/dependability statistics, U3, ZU3, NCI, Ht). PFSs suitable to polytomous data include
extensions of lz, U3, and (normed) number of Guttman errors.
Author: Jorge N. Tendeiro
Maintainer: Jorge N. Tendeiro <j.n.tendeiro@rug.nl>
Diff between PerFit versions 1.4.1 dated 2016-10-18 and 1.4.2 dated 2018-06-01
DESCRIPTION | 15 ++++++--------- MD5 | 11 ++++++----- build |only data/InadequacyData.RData |binary data/IntelligenceData.RData |binary data/PhysFuncData.RData |binary man/PerFit-package.Rd | 28 +++++++++++++++------------- 7 files changed, 27 insertions(+), 27 deletions(-)
Title: Omics Data Integration Project
Description: Multivariate methods are well suited to large omics data sets where the number of variables (e.g. genes, proteins, metabolites) is much larger than the number of samples (patients, cells, mice). They have the appealing properties of reducing the dimension of the data by using instrumental variables (components), which are defined as combinations of all variables. Those components are then used to produce useful graphical outputs that enable better understanding of the relationships and correlation structures between the different data sets that are integrated. mixOmics offers a wide range of multivariate methods for the exploration and integration of biological datasets with a particular focus on variable selection. The package proposes several sparse multivariate models we have developed to identify the key variables that are highly correlated, and/or explain the biological outcome of interest. The data that can be analysed with mixOmics may come from high throughput sequencing technologies, such as omics data (transcriptomics, metabolomics, proteomics, metagenomics etc) but also beyond the realm of omics (e.g. spectral imaging). The methods implemented in mixOmics can also handle missing values without having to delete entire rows with missing data. A non exhaustive list of methods include variants of generalised Canonical Correlation Analysis, sparse Partial Least Squares and sparse Discriminant Analysis. Recently we implemented integrative methods to combine multiple data sets: N-integration with variants of Generalised Canonical Correlation Analysis and P-integration with variants of multi-group Partial Least Squares.
Author: Kim-Anh Le Cao, Florian Rohart, Ignacio Gonzalez, Sebastien Dejean with key contributors Benoit Gautier, Francois Bartolo
and contributions from Pierre Monget, Jeff Coquery, FangZou Yao, Benoit Liquet.
Maintainer: Kim-Anh Le Cao <kimanh.lecao@unimelb.edu.au>
Diff between mixOmics versions 6.3.1 dated 2017-11-26 and 6.3.2 dated 2018-06-01
mixOmics-6.3.1/mixOmics/R/MCV.splsda.R |only mixOmics-6.3.2/mixOmics/DESCRIPTION | 13 - mixOmics-6.3.2/mixOmics/MD5 | 81 ++++----- mixOmics-6.3.2/mixOmics/NAMESPACE | 9 - mixOmics-6.3.2/mixOmics/NEWS | 17 + mixOmics-6.3.2/mixOmics/R/AUC_ROC.R | 54 +++--- mixOmics-6.3.2/mixOmics/R/LOGOCV.R | 2 mixOmics-6.3.2/mixOmics/R/MCV.block.splsda.R | 140 ++++++++++------ mixOmics-6.3.2/mixOmics/R/MCV.spls.R |only mixOmics-6.3.2/mixOmics/R/block.plsda.R | 2 mixOmics-6.3.2/mixOmics/R/block.splsda.R | 3 mixOmics-6.3.2/mixOmics/R/check_entry.R | 34 ++- mixOmics-6.3.2/mixOmics/R/explained_variance.R | 6 mixOmics-6.3.2/mixOmics/R/internal_mint.block.R | 83 ++++++--- mixOmics-6.3.2/mixOmics/R/internal_mint.block_helpers.R | 25 +- mixOmics-6.3.2/mixOmics/R/internal_predict.DA.R | 34 +++ mixOmics-6.3.2/mixOmics/R/internal_wrapper.mint.R | 12 + mixOmics-6.3.2/mixOmics/R/mint.block.plsda.R | 2 mixOmics-6.3.2/mixOmics/R/mint.block.splsda.R | 2 mixOmics-6.3.2/mixOmics/R/mint.plsda.R | 12 + mixOmics-6.3.2/mixOmics/R/mint.splsda.R | 12 + mixOmics-6.3.2/mixOmics/R/perf.R | 25 +- mixOmics-6.3.2/mixOmics/R/perf.diablo.R | 10 - mixOmics-6.3.2/mixOmics/R/perf.mint.splsda.R | 2 mixOmics-6.3.2/mixOmics/R/plot.tune.R | 11 + mixOmics-6.3.2/mixOmics/R/plotDiablo.R | 2 mixOmics-6.3.2/mixOmics/R/predict.mint.block.pls.R | 33 ++- mixOmics-6.3.2/mixOmics/R/roc_utils.R | 5 mixOmics-6.3.2/mixOmics/R/spca.R | 17 - mixOmics-6.3.2/mixOmics/R/splsda.R | 2 mixOmics-6.3.2/mixOmics/R/summary.R | 17 + mixOmics-6.3.2/mixOmics/R/tune.block.splsda.R | 24 +- mixOmics-6.3.2/mixOmics/R/tune.mint.splsda.R | 7 mixOmics-6.3.2/mixOmics/R/tune.spls.R |only mixOmics-6.3.2/mixOmics/R/tune.splsda.R | 35 ++-- mixOmics-6.3.2/mixOmics/R/zzz.R | 8 mixOmics-6.3.2/mixOmics/inst |only mixOmics-6.3.2/mixOmics/man/auroc.Rd | 5 mixOmics-6.3.2/mixOmics/man/perf.Rd | 3 mixOmics-6.3.2/mixOmics/man/plot.tune.Rd | 4 mixOmics-6.3.2/mixOmics/man/plotIndiv.Rd | 8 mixOmics-6.3.2/mixOmics/man/plsda.Rd | 11 + mixOmics-6.3.2/mixOmics/man/splsda.Rd | 10 + mixOmics-6.3.2/mixOmics/man/tune.spls.Rd |only 44 files changed, 521 insertions(+), 261 deletions(-)
Title: 'Antares' Results Processing
Description: Process results generated by 'Antares', a powerful software developed by
RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about
'Antares' here: <https://antares.rte-france.com>). You can see the results of several ANTARES studies here : <http://bpnumerique.rte-france.com/>. This package provides
functions to create new columns like net load, load factors, upward and
downward margins or to compute aggregated statistics like economic surpluses
of consumers, producers and sectors.
Author: Jalal-Edine ZAWAM [aut, cre],
Francois Guillem [aut],
Benoit Thieurmel [aut],
Titouan Robert [aut],
RTE [cph]
Maintainer: Jalal-Edine ZAWAM <jalal-edine.zawam@rte-france.com>
Diff between antaresProcessing versions 0.15.2 dated 2018-05-02 and 0.15.3 dated 2018-06-01
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NEWS | 5 +++++ inst/doc/antaresProcessing.html | 4 ++-- tests/testthat/test-h5_processing.R | 5 +++++ 5 files changed, 20 insertions(+), 10 deletions(-)
More information about antaresProcessing at CRAN
Permanent link
Title: PHATE - Potential of Heat-Diffusion for Affinity-Based
Transition Embedding
Description: PHATE is a tool for visualizing high dimensional single-cell data
with natural progressions or trajectories. PHATE uses a novel conceptual framework
for learning and visualizing the manifold inherent to biological systems in which
smooth transitions mark the progressions of cells from one state to another.
To see how PHATE can be applied to single-cell RNA-seq datasets from hematopoietic
stem cells, human embryonic stem cells, and bone marrow samples, check out our preprint on bioRxiv
at <http://biorxiv.org/content/early/2017/03/24/120378>.
Author: Krishnan Srinivasan [aut],
Scott Gigante [cre] (<https://orcid.org/0000-0002-4544-2764>)
Maintainer: Scott Gigante <scott.gigante@yale.edu>
Diff between phateR versions 0.2.6 dated 2018-05-27 and 0.2.7 dated 2018-06-01
DESCRIPTION | 12 +- MD5 | 24 ++--- R/phate.R | 176 +++++++++++++++++++-------------------- R/preprocessing.R | 8 + R/tree.data.R | 15 ++- R/utils.R | 41 +++++---- README.md | 12 ++ data/datalist | 1 data/tree.data.small.rda |only inst/extdata/generate_treedata.R | 6 + man/phate.Rd | 23 ++--- man/summary.Rd | 2 man/tree.data.Rd | 5 - man/tree.data.small.Rd |only 14 files changed, 181 insertions(+), 144 deletions(-)
Title: Scores Features for Feature Selection
Description: For each feature, a score is computed that can be useful
for feature selection. Several random subsets are sampled from
the input data and for each random subset, various linear
models are fitted using lars method. A score is assigned to
each feature based on the tendency of LASSO in including that
feature in the models.Finally, the average score and the models
are returned as the output. The features with relatively low
scores are recommended to be ignored because they can lead to
overfitting of the model to the training data. Moreover, for
each random subset, the best set of features in terms of global
error is returned. They are useful for applying Bolasso, the
alternative feature selection method that recommends the
intersection of features subsets.
Author: Habil Zare
Maintainer: Habil Zare <zare@u.washington.edu>
Diff between FeaLect versions 1.12 dated 2018-05-16 and 1.14 dated 2018-06-01
DESCRIPTION | 11 ++++++----- MD5 | 14 +++++++------- build/partial.rdb |binary build/vignette.rds |binary inst/doc/FeaLect_feature_scorer.pdf |binary man/FeaLect-package.Rd | 2 +- man/doctor.validate.Rd | 4 ++-- man/train.doctor.Rd | 2 +- 8 files changed, 17 insertions(+), 16 deletions(-)
Title: Wavelet ARIMA Model
Description: Fits hybrid Wavelet ARIMA model for time series forecasting using algorithm by Aminghafari and Poggi (2012) <doi:10.1142/S0219691307002002>.
Author: Ranjit Kumar Paul and Sandipan Samanta
Maintainer: Ranjit Kumar Paul <ranjitstat@gmail.com>
Diff between WaveletArima versions 0.1.0 dated 2017-10-25 and 0.1.1 dated 2018-06-01
DESCRIPTION | 6 +++--- MD5 | 4 ++-- R/WaveletArima.R | 13 +++++++------ 3 files changed, 12 insertions(+), 11 deletions(-)
Title: Time Series Representations
Description: Methods for representations (i.e. dimensionality reduction, preprocessing, feature extraction) of time series to help more accurate and effective time series data mining.
Non-data adaptive, data adaptive, model-based and data dictated (clipped) representation methods are implemented. Also min-max and z-score normalisations, and forecasting accuracy measures are implemented.
Author: Peter Laurinec [aut, cre] (<https://orcid.org/0000-0002-3501-8783>)
Maintainer: Peter Laurinec <tsreprpackage@gmail.com>
Diff between TSrepr versions 1.0.0 dated 2018-01-26 and 1.0.1 dated 2018-06-01
DESCRIPTION | 15 +++---- MD5 | 41 +++++++++++++------- NEWS.md |only R/PIP.R | 8 --- R/PLA.R | 8 --- build/vignette.rds |binary inst/CITATION |only inst/doc/TSrepr_extentions.Rmd | 2 inst/doc/TSrepr_extentions.html | 4 - inst/doc/TSrepr_representations_of_time_series.Rmd | 8 +-- inst/doc/TSrepr_representations_of_time_series.html | 15 ++++--- inst/doc/TSrepr_representations_use_case.Rmd | 2 inst/doc/TSrepr_representations_use_case.html | 4 - tests |only vignettes/TSrepr_extentions.Rmd | 2 vignettes/TSrepr_representations_of_time_series.Rmd | 8 +-- vignettes/TSrepr_representations_use_case.Rmd | 2 vignettes/papers.bib | 12 ++++- 18 files changed, 74 insertions(+), 57 deletions(-)
Title: Sitree Extensions
Description: Provides extensions for package 'sitree' for allometric variables, growth, mortality, recruitment, management, tree removal and external modifiers functions.
Author: Clara Anton Fernandez [aut, cre]
Maintainer: Clara Anton Fernandez <caf@nibio.no>
Diff between sitreeE versions 0.0-1 dated 2017-07-14 and 0.0-2 dated 2018-06-01
DESCRIPTION | 8 ++++---- MD5 | 8 +++++++- R/Biomass_Norway.R |only R/TopHeight.R |only man/biomass.Norway.Rd |only man/biomass.birch.M1988.Rd |only man/biomass.birch.S2014.Rd |only man/top.height.Rd |only 8 files changed, 11 insertions(+), 5 deletions(-)
Title: Single Tree Simulator
Description: Forecasts plots at tree level.
Author: Clara Anton Fernandez [aut, cre],
Nikolas von Lupke [ctb]
Maintainer: Clara Anton Fernandez <caf@nibio.no>
Diff between sitree versions 0.1-2 dated 2017-07-08 and 0.1-3 dated 2018-06-01
DESCRIPTION | 8 ++--- MD5 | 26 +++++++++--------- R/TreeClasses.R | 6 ++-- R/dbhi.BN2009.R | 2 - R/grow.dbhinc.hgtinc.R | 43 +++++++++++++++--------------- R/height.korf.R | 7 ++-- R/post.recover.state.R | 26 +++++++++--------- R/sitree.R | 35 +++++++++++++++++------- R/sitreesummary.R | 62 +++++++++++++++++++++++++++++++++++--------- R/sp.classification.R | 7 +++- build/vignette.rds |binary inst/doc/TestEquations.html | 38 ++++++++++++++++++++++---- man/dbhi.BN2009.Rd | 5 ++- man/grow.dbhinc.hgtinc.Rd | 5 ++- 14 files changed, 181 insertions(+), 89 deletions(-)
Title: Seawater Carbonate Chemistry
Description: Calculates parameters of the seawater carbonate system and assists the design of ocean acidification perturbation experiments.
Author: Jean-Pierre Gattuso [aut, cre, cph],
Jean-Marie Epitalon [aut],
Heloise Lavigne [aut],
James Orr [aut],
Bernard Gentili [ctb],
Mathilde Hagens [ctb],
Andreas Hofmann [ctb],
Aurélien Proye [ctb],
Karline Soetaert [ctb],
James Rae [ctb]
Maintainer: Jean-Pierre Gattuso <gattuso@obs-vlfr.fr>
Diff between seacarb versions 3.2.6 dated 2018-02-27 and 3.2.7 dated 2018-06-01
ChangeLog | 4 ++ DESCRIPTION | 8 ++--- MD5 | 8 ++--- R/bor.R | 5 +++ man/bor.Rd | 86 +++++++++++++++++++++++++++++++++--------------------------- 5 files changed, 65 insertions(+), 46 deletions(-)
Title: Wrapper Functions for 'ODAM' (Open Data for Access and Mining)
Web Services
Description: 'ODAM' (Open Data for Access and Mining) is a framework that implements a simple way to make research data broadly accessible and fully available for reuse, including by a script language such as R. The main purpose is to make a data set accessible online with a minimal effort from the data provider, and to allow any scientists or bioinformaticians to be able to explore the data set and then extract a subpart or the totality of the data according to their needs. The Rodam package has only one class, 'odamws', that provides methods to allow you to retrieve online data using 'ODAM' Web Services. This obviously requires that data are implemented according the 'ODAM' approach , namely that the data subsets were deposited in the suitable data repository in the form of TSV files associated with their metadata also described in TSV files. See <http://www.slideshare.net/danieljacob771282/odam-open-data-access-and-mining>.
Author: Daniel Jacob
Maintainer: Daniel Jacob <djacob65@gmail.com>
Diff between Rodam versions 0.1.2 dated 2016-10-05 and 0.1.3 dated 2018-06-01
DESCRIPTION | 10 MD5 | 20 - NAMESPACE | 12 R/odamws.R | 4 build/vignette.rds |binary inst/doc/odamws.R | 128 +++--- inst/doc/odamws.Rmd | 2 inst/doc/odamws.html | 958 +++++++++++++++++++++++++-------------------------- man/Rodam-package.Rd | 2 man/odamws.Rd | 143 +++---- vignettes/odamws.Rmd | 2 11 files changed, 646 insertions(+), 635 deletions(-)
Title: Entropy Based Method for the Detection of Significant Variation
in Gene Expression Data
Description: An implementation of a method based on information theory devised
for the identification of genes showing a significant variation of expression
across multiple conditions. Given expression estimates from any number of
RNA-Seq samples and conditions it identifies genes or transcripts with a
significant variation of expression across all the conditions studied,
together with the samples in which they are over- or under-expressed.
Zambelli et al. (2018) <doi:10.1093/nar/gky055>.
Author: Federico Zambelli [cre] (<https://orcid.org/0000-0003-3487-4331>),
Giulio Pavesi [aut] (<https://orcid.org/0000-0001-5705-6249>)
Maintainer: Federico Zambelli <federico.zambelli@unimi.it>
Diff between RNentropy versions 1.2.0 dated 2018-03-02 and 1.2.2 dated 2018-06-01
DESCRIPTION | 8 ++-- MD5 | 26 ++++++------- R/RN_calc.R | 7 +++ R/RN_calc_LPV.R | 7 +++ R/RN_select.R | 11 +++-- R/RNentropy-internal.R | 74 ++++++++++++++++++++++++++++----------- R/RNentropy.R | 2 - build/partial.rdb |binary data/RN_BarresLab_FPKM.rda |binary data/RN_BarresLab_design.rda |binary data/RN_Brain_Example_design.rda |binary data/RN_Brain_Example_tpm.rda |binary man/RN_calc.Rd | 36 +++++++++++------- man/RN_calc_LPV.Rd | 7 +++ 14 files changed, 118 insertions(+), 60 deletions(-)
Title: R Interface to Brazilian Central Bank Web Services
Description: The Brazilian Central Bank API delivers many datasets which regard economic
activity, regional economy, international economy, public finances, credit
indicators and many more. For more information please see <http://dadosabertos.bcb.gov.br/>.
These datasets can be accessed through 'rbcb' functions and can be obtained in
different data structures common to R ('tibble', 'data.frame', 'xts', ...).
Author: Wilson Freitas <wilson.freitas@gmail.com>
Maintainer: Wilson Freitas <wilson.freitas@gmail.com>
Diff between rbcb versions 0.1.3 dated 2018-03-03 and 0.1.4 dated 2018-06-01
DESCRIPTION | 6 +++--- MD5 | 17 ++++++++++++----- NAMESPACE | 3 +++ NEWS | 6 ++++++ R/rbcb_get_currencies.R | 2 +- R/rbcb_get_market_expectations.R |only man/get_annual_market_expectations.Rd |only man/get_monthly_market_expectations.Rd |only man/get_quarterly_market_expectations.Rd |only tests/testthat/test-currencies.R | 9 +++++++++ tests/testthat/test-focus-annual.R |only tests/testthat/test-focus-monthly.R |only tests/testthat/test-focus-quarterly.R |only 13 files changed, 34 insertions(+), 9 deletions(-)
Title: Panel Smooth Transition Regression Modelling
Description: Provides the Panel Smooth Transition Regression (PSTR) modelling.
The modelling procedure consists of three stages: Specification, Estimation and Evaluation.
The package offers sharp tools helping the package user(s) to conduct model specification tests,
to do PSTR model estimation, and to do model evaluation.
The tests implemented in the package allow for cluster-dependency and are heteroskedasticity-consistent.
The wild bootstrap and wild cluster bootstrap tests are also implemented.
Parallel computation (as an option) is implemented in some functions, especially the bootstrap tests.
The package suits tasks running many cores on super-computation servers.
Author: Yukai Yang [aut, cre]
Maintainer: Yukai Yang <yukai.yang@statistik.uu.se>
Diff between PSTR versions 1.1.0 dated 2017-09-25 and 1.2.1 dated 2018-06-01
DESCRIPTION | 12 +- MD5 | 33 +++--- NAMESPACE | 7 + NEWS.md | 18 +++ R/PSTR.R | 31 ++++-- R/data.R | 32 ++++++ R/estimation.R | 10 + R/evaluation.R | 6 - R/specification.R | 10 - R/utils.R | 248 +++++++++++++++++++++++++++++++++++-------------- README.md | 220 ++++++++++++++++++++++++++----------------- data/sunspot.rda |only man/EstPSTR.Rd | 1 man/EvalTest.Rd | 6 - man/LinTest.Rd | 4 man/PSTR.Rd | 10 + man/plot_response.Rd |only man/plot_transition.Rd | 8 - man/sunspot.Rd |only 19 files changed, 450 insertions(+), 206 deletions(-)
Title: Plot a Model's Residuals, Response, and Partial Dependence Plots
Description: Plot model surfaces for a wide variety of models
using partial dependence plots and other techniques.
Also plot model residuals and other information on the model.
Author: Stephen Milborrow
Maintainer: Stephen Milborrow <milbo@sonic.net>
Diff between plotmo versions 3.3.7 dated 2018-05-15 and 3.4.0 dated 2018-06-01
plotmo-3.3.7/plotmo/inst/slowtests/linmod.leisch.tutorial.R |only plotmo-3.3.7/plotmo/inst/slowtests/linmod.milbo.tutorial.R |only plotmo-3.3.7/plotmo/inst/slowtests/test.ltut.R |only plotmo-3.3.7/plotmo/inst/slowtests/test.ltut.Rout.save |only plotmo-3.3.7/plotmo/inst/slowtests/test.ltut.bat |only plotmo-3.4.0/plotmo/DESCRIPTION | 8 plotmo-3.4.0/plotmo/MD5 | 157 plotmo-3.4.0/plotmo/NEWS | 36 plotmo-3.4.0/plotmo/R/as.char.R | 18 plotmo-3.4.0/plotmo/R/call.dots.R | 6 plotmo-3.4.0/plotmo/R/do.par.R | 2 plotmo-3.4.0/plotmo/R/dotlib.R | 2 plotmo-3.4.0/plotmo/R/glmnet.R | 2 plotmo-3.4.0/plotmo/R/lib.R | 54 plotmo-3.4.0/plotmo/R/meta.R | 26 plotmo-3.4.0/plotmo/R/mlr.R |only plotmo-3.4.0/plotmo/R/plot_gbm.R | 6 plotmo-3.4.0/plotmo/R/plot_glmnet.R | 3 plotmo-3.4.0/plotmo/R/plotcum.R | 4 plotmo-3.4.0/plotmo/R/plotmo.R | 239 plotmo-3.4.0/plotmo/R/plotqq.R | 4 plotmo-3.4.0/plotmo/R/plotresids.R | 36 plotmo-3.4.0/plotmo/R/pre.R | 26 plotmo-3.4.0/plotmo/R/predict.R | 2 plotmo-3.4.0/plotmo/R/printcall.R | 2 plotmo-3.4.0/plotmo/R/prolog.R | 3 plotmo-3.4.0/plotmo/R/quantreg.R | 2 plotmo-3.4.0/plotmo/R/residuals.R | 16 plotmo-3.4.0/plotmo/R/response.R | 4 plotmo-3.4.0/plotmo/R/singles.R | 4 plotmo-3.4.0/plotmo/R/stop.if.dots.R | 10 plotmo-3.4.0/plotmo/R/type.R | 21 plotmo-3.4.0/plotmo/R/xy.R | 135 plotmo-3.4.0/plotmo/README.md | 41 plotmo-3.4.0/plotmo/inst/README-figures/plotres-randomForest.png |binary plotmo-3.4.0/plotmo/inst/doc/modguide.pdf |binary plotmo-3.4.0/plotmo/inst/doc/plotmo-notes.pdf | 4777 +++++----- plotmo-3.4.0/plotmo/inst/doc/plotres-notes.pdf | 103 plotmo-3.4.0/plotmo/inst/slowtests/README.R | 16 plotmo-3.4.0/plotmo/inst/slowtests/linmod.R | 211 plotmo-3.4.0/plotmo/inst/slowtests/linmod.methods.R |only plotmo-3.4.0/plotmo/inst/slowtests/make.bat | 4 plotmo-3.4.0/plotmo/inst/slowtests/modguide.model1.R |only plotmo-3.4.0/plotmo/inst/slowtests/modguide.model2.R |only plotmo-3.4.0/plotmo/inst/slowtests/test.c50.R | 4 plotmo-3.4.0/plotmo/inst/slowtests/test.c50.Rout.save | 4 plotmo-3.4.0/plotmo/inst/slowtests/test.caret.R | 26 plotmo-3.4.0/plotmo/inst/slowtests/test.caret.Rout.save | 26 plotmo-3.4.0/plotmo/inst/slowtests/test.degree.R | 55 plotmo-3.4.0/plotmo/inst/slowtests/test.degree.Rout.save | 90 plotmo-3.4.0/plotmo/inst/slowtests/test.dots.R | 8 plotmo-3.4.0/plotmo/inst/slowtests/test.dots.Rout.save | 8 plotmo-3.4.0/plotmo/inst/slowtests/test.gbm.R | 4 plotmo-3.4.0/plotmo/inst/slowtests/test.gbm.Rout.save | 11 plotmo-3.4.0/plotmo/inst/slowtests/test.glmnet.R | 4 plotmo-3.4.0/plotmo/inst/slowtests/test.glmnet.Rout.save | 101 plotmo-3.4.0/plotmo/inst/slowtests/test.glmnetUtils.R | 4 plotmo-3.4.0/plotmo/inst/slowtests/test.glmnetUtils.Rout.save | 4 plotmo-3.4.0/plotmo/inst/slowtests/test.linmod.R | 1126 +- plotmo-3.4.0/plotmo/inst/slowtests/test.linmod.Rout.save | 1660 ++- plotmo-3.4.0/plotmo/inst/slowtests/test.mlr.R |only plotmo-3.4.0/plotmo/inst/slowtests/test.mlr.Rout.save |only plotmo-3.4.0/plotmo/inst/slowtests/test.mlr.bat |only plotmo-3.4.0/plotmo/inst/slowtests/test.modguide.R |only plotmo-3.4.0/plotmo/inst/slowtests/test.modguide.Rout.save |only plotmo-3.4.0/plotmo/inst/slowtests/test.modguide.bat |only plotmo-3.4.0/plotmo/inst/slowtests/test.non.earth.R | 17 plotmo-3.4.0/plotmo/inst/slowtests/test.non.earth.Rout.save | 83 plotmo-3.4.0/plotmo/inst/slowtests/test.partdep.R | 4 plotmo-3.4.0/plotmo/inst/slowtests/test.partdep.Rout.save | 4 plotmo-3.4.0/plotmo/inst/slowtests/test.plotmo.R | 30 plotmo-3.4.0/plotmo/inst/slowtests/test.plotmo.Rout.save | 209 plotmo-3.4.0/plotmo/inst/slowtests/test.plotmo.args.R | 4 plotmo-3.4.0/plotmo/inst/slowtests/test.plotmo.args.Rout.save | 4 plotmo-3.4.0/plotmo/inst/slowtests/test.plotmo.dots.R | 8 plotmo-3.4.0/plotmo/inst/slowtests/test.plotmo.dots.Rout.save | 8 plotmo-3.4.0/plotmo/inst/slowtests/test.plotmo.x.R | 4 plotmo-3.4.0/plotmo/inst/slowtests/test.plotmo.x.Rout.save | 4 plotmo-3.4.0/plotmo/inst/slowtests/test.plotmo3.R | 4 plotmo-3.4.0/plotmo/inst/slowtests/test.plotmo3.Rout.save | 11 plotmo-3.4.0/plotmo/inst/slowtests/test.plotres.R | 5 plotmo-3.4.0/plotmo/inst/slowtests/test.plotres.Rout.save | 12 plotmo-3.4.0/plotmo/inst/slowtests/test.pre.R | 27 plotmo-3.4.0/plotmo/inst/slowtests/test.pre.Rout.save | 38 plotmo-3.4.0/plotmo/inst/slowtests/test.printcall.R | 8 plotmo-3.4.0/plotmo/inst/slowtests/test.printcall.Rout.save | 8 plotmo-3.4.0/plotmo/man/plotmo.Rd | 9 87 files changed, 5760 insertions(+), 3856 deletions(-)
Title: Betting Odds Conversion
Description: Conversion between the most common odds types for sports betting.
Hong Kong odds, US odds, Decimal odds, Indonesian odds, Malaysian odds, and raw
Probability are covered in this package.
Author: Marco Blume, Sascha Thomsen
Maintainer: Marco Blume <marco.blume@pinnaclesports.com>
Diff between odds.converter versions 1.4 dated 2017-01-22 and 1.4.8 dated 2018-06-01
DESCRIPTION | 15 ++-- MD5 | 153 +++++++++++++++++++++++++------------------------ NEWS | 29 +++++++++ R/odds.2all.R | 12 +-- R/odds.dec2hk.R | 5 + R/odds.dec2indo.R | 9 +- R/odds.dec2malay.R | 5 + R/odds.dec2prob.R | 7 +- R/odds.dec2us.R | 7 +- R/odds.fv.R | 123 +++++++++------------------------------ R/odds.hk2dec.R | 9 +- R/odds.hk2indo.R | 9 +- R/odds.hk2malay.R | 9 +- R/odds.hk2prob.R | 9 +- R/odds.hk2us.R | 10 ++- R/odds.indo2dec.R | 8 +- R/odds.indo2hk.R | 8 +- R/odds.indo2malay.R | 7 +- R/odds.indo2prob.R | 8 +- R/odds.indo2us.R | 7 +- R/odds.malay2dec.R | 8 +- R/odds.malay2hk.R | 8 +- R/odds.malay2indo.R | 7 +- R/odds.malay2prob.R | 8 +- R/odds.malay2us.R | 7 +- R/odds.prob2dec.R | 6 + R/odds.prob2hk.R | 9 +- R/odds.prob2indo.R | 10 ++- R/odds.prob2malay.R | 8 +- R/odds.prob2us.R | 8 +- R/odds.us2dec.R | 9 +- R/odds.us2hk.R | 8 +- R/odds.us2indo.R | 7 +- R/odds.us2malay.R | 7 +- R/odds.us2prob.R | 8 +- R/odds.vig.R |only README.md | 111 +++++++++++++++++++++++++++++++++-- man/odds.dec2all.Rd | 3 man/odds.dec2hk.Rd | 1 man/odds.dec2indo.Rd | 1 man/odds.dec2malay.Rd | 1 man/odds.dec2prob.Rd | 1 man/odds.dec2us.Rd | 1 man/odds.fv.Rd | 3 man/odds.hk2all.Rd | 3 man/odds.hk2dec.Rd | 1 man/odds.hk2indo.Rd | 1 man/odds.hk2malay.Rd | 1 man/odds.hk2prob.Rd | 1 man/odds.hk2us.Rd | 1 man/odds.indo2all.Rd | 3 man/odds.indo2dec.Rd | 1 man/odds.indo2hk.Rd | 1 man/odds.indo2malay.Rd | 1 man/odds.indo2prob.Rd | 1 man/odds.indo2us.Rd | 1 man/odds.malay2all.Rd | 3 man/odds.malay2dec.Rd | 1 man/odds.malay2hk.Rd | 1 man/odds.malay2indo.Rd | 1 man/odds.malay2prob.Rd | 1 man/odds.malay2us.Rd | 1 man/odds.parlay.Rd | 1 man/odds.prob2all.Rd | 3 man/odds.prob2dec.Rd | 1 man/odds.prob2hk.Rd | 1 man/odds.prob2indo.Rd | 1 man/odds.prob2malay.Rd | 1 man/odds.prob2us.Rd | 1 man/odds.us2all.Rd | 3 man/odds.us2dec.Rd | 1 man/odds.us2hk.Rd | 1 man/odds.us2indo.Rd | 1 man/odds.us2malay.Rd | 1 man/odds.us2prob.Rd | 1 tests |only 76 files changed, 433 insertions(+), 297 deletions(-)
More information about odds.converter at CRAN
Permanent link
Title: Compute, Handle, Plot and Model Incidence of Dated Events
Description: Provides functions and classes to compute, handle and visualise incidence from dated events for a defined time interval. Dates can be provided in various standard formats. The class 'incidence' is used to store computed incidence and can be easily manipulated, subsetted, and plotted. In addition, log-linear models can be fitted to 'incidence' objects using 'fit'. This package is part of the RECON (<http://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.
Author: Thibaut Jombart [aut, cre],
Rich FitzJohn [aut],
Jun Cai [ctb],
Sangeeta Bhatia [ctb]
Maintainer: Thibaut Jombart <thibautjombart@gmail.com>
Diff between incidence versions 1.2.1 dated 2017-11-12 and 1.3.0 dated 2018-06-01
DESCRIPTION | 14 MD5 | 93 ++-- NAMESPACE | 11 NEWS.md | 25 + R/cumulate.R |only R/fit.R | 636 +++++++++++++++-------------- R/incidence.R | 9 R/internals.R | 17 R/palettes.R | 84 ++- R/plot.R | 354 ++++++++-------- build/vignette.rds |binary inst/doc/conversions.html | 22 - inst/doc/customize_plot.R | 14 inst/doc/customize_plot.Rmd | 18 inst/doc/customize_plot.html | 63 +- inst/doc/incidence_class.html | 14 inst/doc/overview.html | 55 +- man/cumulate.Rd |only man/fit.Rd | 87 ++- man/palettes.Rd | 30 - man/plot.incidence.Rd | 10 tests/testthat/rds/incidence.res1.rds |binary tests/testthat/rds/incidence.res2.rds |binary tests/testthat/rds/incidence.res3.rds |binary tests/testthat/rds/incidence.res4.rds |binary tests/testthat/rds/incidence.res5.rds |binary tests/testthat/rds/incidence.res6.rds |binary tests/testthat/rds/incidence.res7.rds |binary tests/testthat/rds/incidence.res8.rds |binary tests/testthat/rds/o.fit.i.rds |binary tests/testthat/rds/o.fit.i.sex.rds |binary tests/testthat/rds/print1.rds |binary tests/testthat/rds/print2.rds |binary tests/testthat/rds/print3.rds |binary tests/testthat/rds/ref_date_breaks_iso.rds |only tests/testthat/rds/res.g.1.rds |binary tests/testthat/rds/res.g.2.rds |binary tests/testthat/rds/res.g.3.rds |binary tests/testthat/rds/x.sub1.rds |binary tests/testthat/rds/x.sub2.rds |binary tests/testthat/rds/x.sub3.rds |binary tests/testthat/rds/x.sub4.rds |binary tests/testthat/rds/x.sub5.rds |binary tests/testthat/rds/y.sub1.rds |binary tests/testthat/test-fit.R | 10 tests/testthat/test-non-exported.R | 12 tests/testthat/test-palettes.R | 18 tests/testthat/test-plot.R | 6 vignettes/customize_plot.Rmd | 18 49 files changed, 904 insertions(+), 716 deletions(-)
Title: Hierarchical Non-Negative Matrix Factorization
Description: Hierarchical and single-level non-negative matrix factorization. Several NMF algorithms are available.
Author: Nicolas Sauwen
Maintainer: Nicolas Sauwen <nicolas.sauwen@openanalytics.eu>
Diff between hNMF versions 0.5 dated 2018-04-09 and 0.6 dated 2018-06-01
DESCRIPTION | 6 +++--- MD5 | 18 ++++++++++-------- NAMESPACE | 1 + R/HALSacc.R | 2 +- R/oneLevelNMF.R | 3 ++- R/residualNMF.R |only R/semiNMF.R | 2 +- man/HALSacc.Rd | 2 +- man/oneLevelNMF.Rd | 3 ++- man/residualNMF.Rd |only man/semiNMF.Rd | 2 +- 11 files changed, 22 insertions(+), 17 deletions(-)
Title: Hierarchical Multiple Imputation
Description: Runs single level and multilevel imputation models. The user just has to pass the data to the main function and, optionally, his analysis model. Basically the package then translates this analysis model into commands to impute the data according to it with functions from 'mice', 'MCMCglmm' or routines build for this package.
Author: Matthias Speidel [aut, cre] (Institute for Employment Research,
Nuremberg, Germany),
Joerg Drechsler [aut] (Institute for Employment Research, Nuremberg,
Germany),
Shahab Jolani [aut] (Maastricht University, Maastricht, The
Netherlands)
Maintainer: Matthias Speidel <matthias.speidel@googlemail.com>
Diff between hmi versions 0.9.11 dated 2018-05-08 and 0.9.13 dated 2018-06-01
hmi-0.9.11/hmi/R/hmi_imp_roundedcont_2018-05-04.R |only hmi-0.9.11/hmi/R/hmi_smallfunctions_2018-05-07.R |only hmi-0.9.11/hmi/R/hmi_wrapper_2018-05-02.R |only hmi-0.9.11/hmi/vignettes/my-vignette_cache |only hmi-0.9.13/hmi/DESCRIPTION | 8 hmi-0.9.13/hmi/MD5 | 180 ++++++------------ hmi-0.9.13/hmi/NAMESPACE | 1 hmi-0.9.13/hmi/R/hmi_cycle_2018-05-31.R |only hmi-0.9.13/hmi/R/hmi_imp_roundedcont_2018-05-11.R |only hmi-0.9.13/hmi/R/hmi_smallfunctions_2018-05-31.R |only hmi-0.9.13/hmi/R/hmi_wrapper_2018-05-28.R |only hmi-0.9.13/hmi/R/nhanes_imp.R | 2 hmi-0.9.13/hmi/data/nhanes_imp.rda |binary hmi-0.9.13/hmi/data/nhanes_mod.rda |binary hmi-0.9.13/hmi/data/nhanes_sub.rda |binary hmi-0.9.13/hmi/inst/doc/my-vignette.R | 79 ------- hmi-0.9.13/hmi/inst/doc/my-vignette.Rmd | 143 -------------- hmi-0.9.13/hmi/inst/doc/my-vignette.html | 137 +------------ hmi-0.9.13/hmi/man/Mode.Rd | 2 hmi-0.9.13/hmi/man/as.data.frame.interval.Rd | 2 hmi-0.9.13/hmi/man/as.interval.Rd | 2 hmi-0.9.13/hmi/man/ceiling.Rd | 15 + hmi-0.9.13/hmi/man/center.interval.Rd | 2 hmi-0.9.13/hmi/man/chaincheck.Rd | 4 hmi-0.9.13/hmi/man/cleanup.Rd | 7 hmi-0.9.13/hmi/man/contributions4intervals.Rd | 2 hmi-0.9.13/hmi/man/decompose_interval.Rd | 2 hmi-0.9.13/hmi/man/doubleintegral.Rd | 2 hmi-0.9.13/hmi/man/exp.Rd | 2 hmi-0.9.13/hmi/man/extract_varnames.Rd | 2 hmi-0.9.13/hmi/man/factors.Rd | 2 hmi-0.9.13/hmi/man/fixed_intercept_check.Rd | 2 hmi-0.9.13/hmi/man/floor.Rd | 2 hmi-0.9.13/hmi/man/generate_interval.Rd | 2 hmi-0.9.13/hmi/man/get_type.Rd | 13 - hmi-0.9.13/hmi/man/head.Rd | 2 hmi-0.9.13/hmi/man/hmi.Rd | 59 +---- hmi-0.9.13/hmi/man/hmi_pool.Rd | 2 hmi-0.9.13/hmi/man/idf2interval.Rd | 2 hmi-0.9.13/hmi/man/imp_roundedcont.Rd | 2 hmi-0.9.13/hmi/man/imputationcycle.Rd | 4 hmi-0.9.13/hmi/man/interval-add.Rd | 2 hmi-0.9.13/hmi/man/interval-divide.Rd | 2 hmi-0.9.13/hmi/man/interval-modulo.Rd |only hmi-0.9.13/hmi/man/interval-multiply.Rd | 2 hmi-0.9.13/hmi/man/interval-power.Rd | 2 hmi-0.9.13/hmi/man/interval-subtract.Rd | 2 hmi-0.9.13/hmi/man/interval2idf.Rd | 2 hmi-0.9.13/hmi/man/is.na.interval.Rd | 2 hmi-0.9.13/hmi/man/is_interval.Rd | 2 hmi-0.9.13/hmi/man/list_of_rounding_degrees_maker.Rd | 2 hmi-0.9.13/hmi/man/list_of_rounding_formulas_maker.Rd | 2 hmi-0.9.13/hmi/man/list_of_spikes_maker.Rd | 2 hmi-0.9.13/hmi/man/list_of_types_maker.Rd | 4 hmi-0.9.13/hmi/man/log.Rd | 12 - hmi-0.9.13/hmi/man/negloglik.Rd | 2 hmi-0.9.13/hmi/man/negloglik2_intervalsonly.Rd | 2 hmi-0.9.13/hmi/man/nhanes_imp.Rd | 2 hmi-0.9.13/hmi/man/pbivnormX.Rd | 2 hmi-0.9.13/hmi/man/plot.interval.Rd | 10 - hmi-0.9.13/hmi/man/random_intercept_check.Rd | 2 hmi-0.9.13/hmi/man/resetPar.Rd | 2 hmi-0.9.13/hmi/man/round.Rd | 2 hmi-0.9.13/hmi/man/sample_imp.Rd | 2 hmi-0.9.13/hmi/man/sampler.Rd | 2 hmi-0.9.13/hmi/man/sna_interval.Rd | 8 hmi-0.9.13/hmi/man/split_interval.Rd | 2 hmi-0.9.13/hmi/man/sqrt.Rd | 2 hmi-0.9.13/hmi/man/stand.Rd | 2 hmi-0.9.13/hmi/man/suggest_rounding_degrees.Rd | 2 hmi-0.9.13/hmi/man/table.Rd | 2 hmi-0.9.13/hmi/man/tail.Rd | 2 hmi-0.9.13/hmi/vignettes/my-vignette.Rmd | 143 -------------- 73 files changed, 194 insertions(+), 721 deletions(-)
Title: Analytical Tool for Aquatic Respirometry
Description: Calculates metabolic rate of fish and other aquatic organisms measured using
an intermittent-flow respirometry approach. The tool is used to run a set of
graphical QC tests of raw respirometry data, correct it for background
respiration and chamber effect, filter and extract target values of absolute
and mass-specific metabolic rate. Experimental design should include background
respiration tests and measuring of one or more metabolic rate traits. The package
allows a user to import raw respirometry data obtained from 'AutoResp'
(see <http://www.loligosystems.com> for more information) or other logger
software.
Author: Sergey Morozov [aut, cre],
R.J. Scott McCairns [aut],
Federico Calboli [ctb]
Maintainer: Sergey Morozov <sergey.morozov@helsinki.fi>
Diff between FishResp versions 0.2.0 dated 2018-01-04 and 0.3.0 dated 2018-06-01
DESCRIPTION | 32 MD5 | 108 NAMESPACE | 78 R/AMR.R | 52 R/AMR.clean.R | 54 R/AMR.slope.R | 44 R/FishResp.R | 4 R/QC.activity.R | 112 R/QC.slope.R | 255 - R/SMR.R | 52 R/SMR.clean.R | 54 R/SMR.slope.R | 44 R/calculate.MR.R | 170 R/convert.rMR.R | 1640 ++++---- R/convert.respirometry.R | 1056 ++--- R/correct.meas.R | 8198 ++++++++++++++++++++++---------------------- R/extract.slope.R | 484 +- R/import.meas.R | 1089 +++-- R/import.test.R | 1652 ++++---- R/info.R | 28 R/input.info.R | 128 R/results.R | 56 data/AMR.RData |binary data/AMR.clean.RData |binary data/AMR.slope.RData |binary data/SMR.RData |binary data/SMR.clean.RData |binary data/SMR.slope.RData |binary data/info.RData |binary data/results.RData |binary man/AMR.Rd | 64 man/AMR.clean.Rd | 66 man/AMR.raw.Rd | 64 man/AMR.slope.Rd | 56 man/FishResp.Rd | 26 man/QC.activity.Rd | 54 man/QC.meas.Rd | 82 man/QC.slope.Rd | 104 man/SMR.Rd | 64 man/SMR.clean.Rd | 66 man/SMR.raw.Rd | 64 man/SMR.slope.Rd | 56 man/calculate.MR.Rd | 94 man/convert.rMR.Rd | 96 man/convert.respirometry.Rd | 90 man/correct.meas.Rd | 126 man/export.MR.Rd | 100 man/extract.slope.Rd | 138 man/import.meas.Rd | 146 man/import.test.Rd | 152 man/info.Rd | 40 man/input.info.Rd | 76 man/post.Rd | 46 man/pre.Rd | 46 man/results.Rd | 68 55 files changed, 8800 insertions(+), 8574 deletions(-)
Title: Estimating the Parameters of a Continuous-Time Markov Chain from
Discrete-Time Data
Description: Functions for estimating Markov generator matrices from discrete-time observations. The implemented approaches comprise diagonal adjustment, weighted adjustment and quasi-optimization of matrix logarithm based candidate solutions, an expectation-maximization algorithm as well as a Gibbs sampler.
Author: Marius Pfeuffer [aut,cre], Greig Smith [ctb], Goncalo dos Reis [ctb]
Maintainer: Marius Pfeuffer <marius.pfeuffer@fau.de>
Diff between ctmcd versions 1.2 dated 2017-10-09 and 1.3 dated 2018-06-01
ctmcd-1.2/ctmcd/man/ciEMBS.Rd |only ctmcd-1.2/ctmcd/man/ciEMSdR.Rd |only ctmcd-1.2/ctmcd/man/ciGS.Rd |only ctmcd-1.3/ctmcd/DESCRIPTION | 10 +++++----- ctmcd-1.3/ctmcd/MD5 | 27 +++++++++++++-------------- ctmcd-1.3/ctmcd/NAMESPACE | 2 ++ ctmcd-1.3/ctmcd/R/ciEMDM.R |only ctmcd-1.3/ctmcd/R/ciEMoFI.R |only ctmcd-1.3/ctmcd/R/gmci.default.R | 8 +++++++- ctmcd-1.3/ctmcd/build/partial.rdb |binary ctmcd-1.3/ctmcd/inst/doc/RJ-2017-038.pdf |binary ctmcd-1.3/ctmcd/inst/doc/ctmcd_vignette.Rmd | 2 +- ctmcd-1.3/ctmcd/inst/doc/ctmcd_vignette.html | 4 ++-- ctmcd-1.3/ctmcd/man/ctmcd-package.Rd | 2 +- ctmcd-1.3/ctmcd/man/gmci.Rd | 4 +--- ctmcd-1.3/ctmcd/man/gmci.default.Rd | 15 +++++++++------ ctmcd-1.3/ctmcd/vignettes/ctmcd_vignette.Rmd | 2 +- 17 files changed, 42 insertions(+), 34 deletions(-)
Title: Simulate Temporally Autocorrelated Populations
Description: Temporally autocorrelated populations are correlated in their vital rates (growth, death, etc.) from year to year. It is very common for populations, whether they be bacteria, plants, or humans, to be temporally autocorrelated. This poses a challenge for stochastic population modeling, because a temporally correlated population will behave differently from an uncorrelated one.
This package provides tools for simulating populations with white noise (no temporal autocorrelation), red noise (positive temporal autocorrelation), and blue noise (negative temporal autocorrelation). The algebraic formulation for autocorrelated noise comes from Ruokolainen et al. (2009) <doi:10.1016/j.tree.2009.04.009>. Models for unstructured populations and for structured populations (matrix models) are available.
Author: Julia Pilowsky
Maintainer: Julia Pilowsky <jap2178@caa.columbia.edu>
Diff between colorednoise versions 1.0.1 dated 2018-05-21 and 1.0.3 dated 2018-06-01
colorednoise-1.0.1/colorednoise/cleanup |only colorednoise-1.0.1/colorednoise/configure |only colorednoise-1.0.1/colorednoise/configure.ac |only colorednoise-1.0.1/colorednoise/src/Makevars.in |only colorednoise-1.0.3/colorednoise/DESCRIPTION | 12 +- colorednoise-1.0.3/colorednoise/MD5 | 35 +++--- colorednoise-1.0.3/colorednoise/NAMESPACE | 2 colorednoise-1.0.3/colorednoise/NEWS.md | 9 + colorednoise-1.0.3/colorednoise/R/RcppExports.R | 4 colorednoise-1.0.3/colorednoise/R/colorednoise.R | 6 - colorednoise-1.0.3/colorednoise/R/simulate_populations.R | 58 ++++++++--- colorednoise-1.0.3/colorednoise/inst/doc/noise.html | 54 +++++----- colorednoise-1.0.3/colorednoise/man/colorednoise.Rd | 4 colorednoise-1.0.3/colorednoise/man/matrix_model.Rd | 11 +- colorednoise-1.0.3/colorednoise/man/unstructured_pop.Rd | 4 colorednoise-1.0.3/colorednoise/src/Makevars |only colorednoise-1.0.3/colorednoise/src/Makevars.win | 12 -- colorednoise-1.0.3/colorednoise/src/RcppExports.cpp | 30 ++--- colorednoise-1.0.3/colorednoise/src/noise.cpp | 30 ++--- colorednoise-1.0.3/colorednoise/src/simulation.cpp | 62 ++++-------- colorednoise-1.0.3/colorednoise/tests/testthat/test_noise.R | 12 -- 21 files changed, 174 insertions(+), 171 deletions(-)
Title: Causal Modeling with Coincidence Analysis
Description: Provides comprehensive functionalities for causal modeling with Coincidence Analysis (CNA), which is a configurational comparative method of causal data analysis that was first introduced in Baumgartner (2009) <doi:10.1177/0049124109339369>. CNA is related to Qualitative Comparative Analysis (QCA), but contrary to the latter, it is custom-built for uncovering causal structures with multiple outcomes and it builds causal models from the bottom up by gradually combining single factors to complex dependency structures until the requested thresholds of model fit are met. The new functionalities provided by this package version include various new parameters of model fit, as exhaustiveness and faithfulness, and a test for structural redundancies in multi-outcome models with a corresponding function that eliminates such redundancies. Also, the algorithmic efficiency has been significantly increased. Finally, the package now comes with an extensive vignette.
Author: Mathias Ambuehl [aut, cre, cph],
Michael Baumgartner [aut, cph],
Ruedi Epple [ctb],
Alrik Thiem [ctb]
Maintainer: Mathias Ambuehl <mathias.ambuehl@consultag.ch>
Diff between cna versions 2.0.0 dated 2017-04-18 and 2.1.0 dated 2018-06-01
DESCRIPTION | 14 MD5 | 113 ++++-- NAMESPACE | 63 +++ R/RcppExports.R | 100 ++++- R/allCombs_makefuzzy.r | 4 R/cna.r | 74 ++-- R/cna_aux.r | 79 ++-- R/coherence.r | 138 +++++-- R/condTbl.r | 344 ++++++++++++------- R/cond_manip.R |only R/condition.r | 556 +++++++++---------------------- R/condition_aux.R |only R/details.R |only R/equivClass.R |only R/exfaith.R |only R/exhaustive.R |only R/full.tt.R |only R/group.by.outcome.r | 21 - R/hfunctions.R |only R/is.inus.R |only R/is.minimal.R |only R/minimalize.R |only R/minimalizeCsf.R |only R/misc_aux.R |only R/onLoad.R |only R/print.cna.r | 23 - R/print.condList.R |only R/print.condition.R |only R/qcond.R |only R/qcondtype.R |only R/redundant.R |only R/selectCases.r | 9 R/some.r | 2 R/standard.R |only R/truthTab.r | 135 +++---- build |only inst/NEWS | 17 inst/doc |only man/allCombs.Rd | 141 +++---- man/cna-package.Rd | 17 man/cna.Rd | 874 +++++++++++++++++++++++++------------------------ man/coherence.Rd | 34 - man/condTbl.Rd | 95 +++-- man/condition.Rd | 420 ++++++++++++----------- man/d.autonomy.Rd | 84 ++-- man/d.educate.Rd | 62 +-- man/d.irrigate.Rd | 70 +-- man/d.jobsecurity.Rd | 88 ++-- man/d.minaret.Rd | 76 ++-- man/d.pacts.Rd | 72 ++-- man/d.pban.Rd | 66 +-- man/d.performance.Rd | 70 +-- man/d.volatile.Rd | 72 ++-- man/d.women.Rd | 64 +-- man/makeFuzzy.Rd | 4 man/minimalizeCsf.Rd |only man/selectCases.Rd | 19 - man/some.Rd | 3 man/truthTab.Rd | 350 +++++++++---------- man/tt2df.Rd | 3 src/C_character.cpp |only src/C_redundant.cpp |only src/C_relist.cpp |only src/RcppExports.cpp | 225 ++++++++++-- src/asf_search.cpp | 158 +++++--- src/cna_init.c | 120 ++++-- src/hasSubsetIn.cpp | 30 - src/headers.h |only src/typedefs.h |only src/uniqueCombs.cpp | 4 vignettes |only 71 files changed, 2646 insertions(+), 2267 deletions(-)
Title: CCDr Algorithm for Learning Sparse Gaussian Bayesian Networks
Description: Implementation of the CCDr (Concave penalized Coordinate Descent with reparametrization) structure learning algorithm as described in Aragam and Zhou (2015) <http://www.jmlr.org/papers/v16/aragam15a.html>. This is a fast, score-based method for learning Bayesian networks that uses sparse regularization and block-cyclic coordinate descent.
Author: Bryon Aragam [aut, cre],
Dacheng Zhang [aut]
Maintainer: Bryon Aragam <sparsebn@gmail.com>
Diff between ccdrAlgorithm versions 0.0.4 dated 2017-09-11 and 0.0.5 dated 2018-06-01
DESCRIPTION | 10 +++++----- MD5 | 4 ++-- NEWS.md | 6 ++++++ 3 files changed, 13 insertions(+), 7 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-12-23 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-10-18 0.9-91
2013-12-11 0.9-9
2012-10-16 0.9-7
2010-06-05 0.9-4
2006-08-25 0.9-3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-06-23 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-03-05 0.1.4
2015-11-28 0.0.7.5
2015-11-21 0.0.6.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-04-11 1.0
2012-12-29 0.5
2012-10-18 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-09-13 1.1-7
2016-08-04 1.1-6
2013-12-28 1.0-1
2012-07-18 0.1-3
2012-05-31 0.1-2
2011-11-23 0.1-1
2010-08-05 0.1-0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-09-01 0.0.1.1000
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-02-02 1.3.2
2016-12-01 1.3.1
2016-07-10 1.2.2.1
2015-09-30 1.2.2
2015-09-28 1.2.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2009-02-25 0.4.1
2007-05-02 0.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-08-24 2.1
2014-02-25 1.2
2013-03-01 0.96.1
2011-07-02 0.96
2011-06-30 0.95
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-10-17 1.0-4
2015-07-14 1.0-3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-01-22 0.8.1
2017-12-15 0.8.0
2017-09-07 0.7.0
2017-01-13 0.6.0
2016-07-18 0.5.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-09-24 0.9
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-04-22 1.9.0
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2016-06-20 0.1
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2017-07-19 0.1.0
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2017-01-06 0.1.2
2016-10-28 0.1.1
2016-05-05 0.1.0
2016-03-01 0.0.6
2016-02-01 0.0.5
2015-11-02 0.0.4
2015-10-01 0.0.3
2015-09-01 0.0.2
2015-08-21 0.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-05-28 1.0
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2009-05-11 0.02
2009-05-04 0.01
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2012-04-17 3.1-4
2010-08-13 3.1-2
2010-05-16 3.1-0
2010-04-16 3.0-4
2009-01-26 3.0-1
2007-05-30 3.0-0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-11-24 3.0.2
2015-11-19 3.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-04-01 0.3
2013-08-27 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-06-25 1.0
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2016-09-16 1.3.1
2016-09-13 1.3.0
2016-07-11 1.2.2
2016-05-24 1.2.1
2016-03-18 1.1.3
2016-03-16 1.1.1
2016-03-14 1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
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2014-03-17 3.0
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2013-08-28 2.7
2012-07-09 1.0
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2015-08-18 0.4-2
2014-12-24 0.3-4
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2013-10-29 0.2-2
2013-08-18 0.1-4
2013-08-09 0.1-3
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2018-01-21 0.2.0
2017-04-11 0.1.0
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2012-12-22 2.1
2009-12-10 2.0
2009-07-24 1.0
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2015-01-26 1.5
2014-01-20 1.0
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2016-08-19 1.2
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2008-01-01 1.25
2005-07-30 1.23
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2013-09-17 13.09-1
2013-09-11 13.09
2013-08-26 13.08