Title: Kernel-Based Machine Learning Lab
Description: Kernel-based machine learning methods for classification,
regression, clustering, novelty detection, quantile regression
and dimensionality reduction. Among other methods 'kernlab'
includes Support Vector Machines, Spectral Clustering, Kernel
PCA, Gaussian Processes and a QP solver.
Author: Alexandros Karatzoglou [aut, cre],
Alex Smola [aut],
Kurt Hornik [aut],
National ICT Australia [cph],
Michael A. Maniscalco [ctb, cph],
Choon Hui Teo [ctb]
Maintainer: Alexandros Karatzoglou <alexandros.karatzoglou@gmail.com>
Diff between kernlab versions 0.9-30 dated 2022-04-02 and 0.9-31 dated 2022-06-08
DESCRIPTION | 6 +++--- MD5 | 24 ++++++++++++------------ build/vignette.rds |binary data/income.rda |binary data/musk.rda |binary data/promotergene.rda |binary data/reuters.rda |binary data/spam.rda |binary data/spirals.rda |binary data/ticdata.rda |binary inst/doc/kernlab.pdf |binary man/kkmeans.Rd | 2 +- man/spam.Rd | 2 +- 13 files changed, 17 insertions(+), 17 deletions(-)
Title: Connect to the 'jamovi' Statistical Spreadsheet
Description: Methods to access data sets from the 'jamovi' statistical
spreadsheet (see <https://www.jamovi.org> for more information) from R.
Author: Jonathon Love [aut, cre]
Maintainer: Jonathon Love <jon@thon.cc>
Diff between jmvconnect versions 2.3.12 dated 2022-06-01 and 2.3.13 dated 2022-06-08
DESCRIPTION | 8 ++++---- MD5 | 4 ++-- R/eval.R | 13 ++++++++++--- 3 files changed, 16 insertions(+), 9 deletions(-)
Title: Hidden State Speciation and Extinction
Description: Sets up and executes a HiSSE model (Hidden State Speciation and Extinction) on a phylogeny and character sets to test for hidden shifts in trait dependent rates of diversification. Beaulieu and O'Meara (2016) <doi:10.1093/sysbio/syw022>.
Author: Jeremy Beaulieu [aut, cre],
Brian O'Meara [aut],
Daniel Caetano [aut],
James Boyko [aut],
Thais Vasconcelos [aut]
Maintainer: Jeremy Beaulieu <jmbeauli@uark.edu>
Diff between hisse versions 2.1.6 dated 2021-11-16 and 2.1.8 dated 2022-06-08
DESCRIPTION | 8 +- MD5 | 53 +++++++------- NAMESPACE | 4 - R/geohisse.R | 5 + R/getModelAveTipRates.R | 18 ++--- R/hisse.R | 14 +++ R/misse.R | 65 +++++++++++++++++- R/muhisse.R | 13 +++ R/plotHisse.R | 4 - R/simulateHisse.R | 4 - R/supportRegion.old.R | 8 +- R/supportRegionGeoSSE.R | 2 R/supportRegionGeoSSE.old.R | 2 R/supportRegionHiSSE.R | 6 - R/supportRegionMiSSE.R | 6 - R/supportRegionMuHiSSE.R | 18 ++--- R/tipCorrelation.R | 115 ++++++++++++++++---------------- inst/doc/Clade-specific-sampling.pdf |binary inst/doc/GeoHiSSE-vignette.pdf |binary inst/doc/MiSSE-vignette.pdf |binary inst/doc/MuHiSSE-vignette.pdf |binary inst/doc/adding_fossils.pdf |binary inst/doc/hisse-fisse-type1-vignette.pdf |binary inst/doc/hisse-new-vignette.pdf |binary inst/doc/hisse-vignette.pdf |binary man/SummarizeMiSSEGreedy.Rd |only man/hisse.Rd | 2 tests/testthat/test_likelihood.R | 4 - 28 files changed, 221 insertions(+), 130 deletions(-)
Title: ASCII Formatting for Values and Tables
Description: We provide a framework for rendering complex tables to ASCII, and a set of formatters for transforming values or sets of values into ASCII-ready display strings.
Author: Gabriel Becker [aut, cre],
Adrian Waddell [aut],
F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Gabriel Becker <gabembecker@gmail.com>
Diff between formatters versions 0.3.1 dated 2022-05-20 and 0.3.2 dated 2022-06-08
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 3 +++ R/tostring.R | 4 ++-- inst/doc/formatters.html | 6 +++--- 5 files changed, 15 insertions(+), 12 deletions(-)
Title: A Collection of Amended Histograms Designed for Teaching
Statistics
Description: Statistics students often have problems understanding
the relation between a random variable's true scale and its z-values.
To allow instructors to better better visualize histograms for these
students, the package provides histograms with two horizontal
axis containing z-values and the true scale of the variable.
The function TeachHistDens() provides a density histogram with two axis.
TeachHistCounts() and TeachHistRelFreq() are variations for count and
relative frequency histograms, respectively. TeachConfInterv() and
TeachHypTest() help instructors to visualize confidence levels
and the results of hypothesis tests.
Author: Carsten Lange [aut, cre]
Maintainer: Carsten Lange <clange@cpp.edu>
Diff between TeachHist versions 0.1.2 dated 2021-04-08 and 0.2.0 dated 2022-06-08
DESCRIPTION | 8 +++--- MD5 | 26 +++++++++---------- R/TeachHist.R | 2 - R/TeachHistCounts.R | 58 +++++++++++++++++++++++++++++--------------- R/TeachHistDens.R | 53 ++++++++++++++++++++++++++-------------- R/TeachHistHypTest.R | 15 ++++++----- R/TeachHistRelFreq.R | 59 ++++++++++++++++++++++++++++----------------- R/TechHistConfInterv.R | 31 ++++++++++++++--------- man/TeachHist.Rd | 2 - man/TeachHistConfInterv.Rd | 24 +++++++++++------- man/TeachHistCounts.Rd | 16 ++++++++---- man/TeachHistDens.Rd | 14 +++++++--- man/TeachHistHypTest.Rd | 9 ++++-- man/TeachHistRelFreq.Rd | 16 ++++++++---- 14 files changed, 212 insertions(+), 121 deletions(-)
Title: Synthetic Control Group Method for Comparative Case Studies
Description: Implements the synthetic control group method for comparative case studies as described in Abadie and Gardeazabal (2003) and Abadie, Diamond, and Hainmueller (2010, 2011, 2014). The synthetic control method allows for effect estimation in settings where a single unit (a state, country, firm, etc.) is exposed to an event or intervention. It provides a data-driven procedure to construct synthetic control units based on a weighted combination of comparison units that approximates the characteristics of the unit that is exposed to the intervention. A combination of comparison units often provides a better comparison for the unit exposed to the intervention than any comparison unit alone.
Author: Jens Hainmueller <jhain@stanford.edu> and Alexis Diamond <adiamond@fas.harvard.edu>
Maintainer: Jens Hainmueller <jhain@stanford.edu>
Diff between Synth versions 1.1-5 dated 2014-01-26 and 1.1-6 dated 2022-06-08
DESCRIPTION | 13 - MD5 | 16 - NAMESPACE | 6 R/fn.V.R | 123 +++++------ R/synth.R | 564 +++++++++++++++++++++++++++--------------------------- R/zzz.R | 18 - inst/CITATION | 4 man/basque.Rd | 106 +++++----- man/synth.data.Rd | 24 +- 9 files changed, 438 insertions(+), 436 deletions(-)
Title: Gene Registration from Expression and Time-Courses in R
Description: A tool for registering (aligning) gene expression profiles
between two species (reference data and data to transform).
Author: Ruth Kristianingsih [aut, cre]
,
Alex Calderwood [aut]
Maintainer: Ruth Kristianingsih <ruth.kristianingsih30@gmail.com>
Diff between greatR versions 0.1.0 dated 2022-01-12 and 0.2.0 dated 2022-06-08
greatR-0.1.0/greatR/inst/doc/prepare_data.R |only greatR-0.1.0/greatR/inst/doc/prepare_data.Rmd |only greatR-0.1.0/greatR/inst/doc/prepare_data.html |only greatR-0.1.0/greatR/vignettes/prepare_data.Rmd |only greatR-0.2.0/greatR/DESCRIPTION | 23 greatR-0.2.0/greatR/MD5 | 79 +- greatR-0.2.0/greatR/NAMESPACE | 1 greatR-0.2.0/greatR/NEWS.md | 38 + greatR-0.2.0/greatR/R/calculate_best_shifts_stretches.R | 75 +- greatR-0.2.0/greatR/R/calculate_distance.R | 20 greatR-0.2.0/greatR/R/get_shifts_extreme.R | 11 greatR-0.2.0/greatR/R/optimisation.R |only greatR-0.2.0/greatR/R/prepare_data.R | 8 greatR-0.2.0/greatR/R/process_data.R | 301 ++++++---- greatR-0.2.0/greatR/R/shift_and_stretch.R | 117 ++- greatR-0.2.0/greatR/R/utils-calcs.R | 7 greatR-0.2.0/greatR/R/utils.R | 21 greatR-0.2.0/greatR/R/visualise_result.R | 27 greatR-0.2.0/greatR/README.md | 77 +- greatR-0.2.0/greatR/build/vignette.rds |binary greatR-0.2.0/greatR/inst/doc/optimise-parameters.R |only greatR-0.2.0/greatR/inst/doc/optimise-parameters.Rmd |only greatR-0.2.0/greatR/inst/doc/optimise-parameters.html |only greatR-0.2.0/greatR/inst/doc/prepare-data.R |only greatR-0.2.0/greatR/inst/doc/prepare-data.Rmd |only greatR-0.2.0/greatR/inst/doc/prepare-data.html |only greatR-0.2.0/greatR/inst/doc/register-data.R | 52 - greatR-0.2.0/greatR/inst/doc/register-data.Rmd | 57 - greatR-0.2.0/greatR/inst/doc/register-data.html | 183 +++--- greatR-0.2.0/greatR/inst/doc/visualise-results.R | 19 greatR-0.2.0/greatR/inst/doc/visualise-results.Rmd | 21 greatR-0.2.0/greatR/inst/doc/visualise-results.html | 87 +- greatR-0.2.0/greatR/man/calculate_between_sample_distance.Rd | 10 greatR-0.2.0/greatR/man/get_approximate_stretch.Rd | 2 greatR-0.2.0/greatR/man/get_expression_of_interest.Rd | 6 greatR-0.2.0/greatR/man/get_mean_data.Rd | 2 greatR-0.2.0/greatR/man/optimise_registration_params.Rd |only greatR-0.2.0/greatR/man/plot_heatmap.Rd | 2 greatR-0.2.0/greatR/man/scale_and_register_data.Rd | 32 - greatR-0.2.0/greatR/tests/testthat/test-optimisation.R |only greatR-0.2.0/greatR/tests/testthat/test-process-data.R | 39 - greatR-0.2.0/greatR/tests/testthat/test-utils-calcs.R | 4 greatR-0.2.0/greatR/vignettes/figures/optimisation_workflow_with_initialisation.png |only greatR-0.2.0/greatR/vignettes/figures/optimisation_workflow_without_initialisation.png |only greatR-0.2.0/greatR/vignettes/figures/reg_results_with_boundary_init.png |only greatR-0.2.0/greatR/vignettes/figures/reg_results_without_boundary_init.png |only greatR-0.2.0/greatR/vignettes/optimise-parameters.Rmd |only greatR-0.2.0/greatR/vignettes/prepare-data.Rmd |only greatR-0.2.0/greatR/vignettes/register-data.Rmd | 57 - greatR-0.2.0/greatR/vignettes/visualise-results.Rmd | 21 50 files changed, 819 insertions(+), 580 deletions(-)
Title: Draw Venn Diagrams
Description: Draws and displays Venn diagrams up to 7 sets, and any Boolean union of set intersections.
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>
Diff between venn versions 1.10 dated 2021-03-15 and 1.11 dated 2022-06-08
venn-1.10/venn/man/venn-internal.Rd |only venn-1.10/venn/man/venn.package.Rd |only venn-1.11/venn/DESCRIPTION | 8 venn-1.11/venn/MD5 | 54 +++- venn-1.11/venn/NAMESPACE | 2 venn-1.11/venn/R/checkZone.R | 2 venn-1.11/venn/R/extractDisjunctions.R | 2 venn-1.11/venn/R/getCentroid.R | 2 venn-1.11/venn/R/getZones.R | 4 venn-1.11/venn/R/openPlot.R | 10 venn-1.11/venn/R/plotRules.R | 6 venn-1.11/venn/R/sysdata.rda |binary venn-1.11/venn/R/venn.R | 376 ++++++++++++++++++++++++--------- venn-1.11/venn/README.md |only venn-1.11/venn/inst/ChangeLog | 6 venn-1.11/venn/man/figures |only venn-1.11/venn/man/venn.Rd | 2 venn-1.11/venn/man/venn_internal.Rd |only venn-1.11/venn/man/venn_package.Rd |only 19 files changed, 348 insertions(+), 126 deletions(-)
Title: Regression, Inference, and General Data Analysis Tools in R
Description: A set of tools to streamline data analysis. Learning both R and introductory statistics at the same time can be challenging, and so we created 'rigr' to facilitate common data analysis tasks and enable learners to focus on statistical concepts. We provide easy-to-use interfaces for descriptive statistics, one- and two-sample inference, and regression analyses. 'rigr' output includes key information while omitting unnecessary details that can be confusing to beginners. Heteroscedasticity-robust ("sandwich") standard errors are returned by default, and multiple partial F-tests and tests for contrasts are easy to specify. A single regression function can fit both linear and generalized linear models, allowing students to more easily make connections between different classes of models.
Author: Amy D Willis [aut, cre] ,
Taylor Okonek [aut],
Charles J Wolock [aut],
Brian D Williamson [aut],
Scott S Emerson [aut],
Andrew J Spieker [aut],
Travis Y Hee Wai [ctb],
James P Hughes [ctb],
R Core Team [ctb],
Akhil S Bhel [ctb],
Thomas Lumley [ctb]
Maintainer: Amy D Willis <adwillis@uw.edu>
Diff between rigr versions 1.0.1 dated 2021-09-15 and 1.0.3 dated 2022-06-08
DESCRIPTION | 10 - MD5 | 28 ++- NAMESPACE | 11 + R/regress_diagnostics.R |only R/regress_diagnostics_TODO.R |only R/regress_utils.R | 80 -------- README.md | 12 - build/vignette.rds |binary inst/doc/descrip_intro.html | 238 ++++++++++++++++++++++++-- inst/doc/one_and_two_sample_inference.html | 252 +++++++++++++++++++++++++--- inst/doc/regress_intro.html | 260 ++++++++++++++++++++++++++--- man/cooks.distance.uRegress.Rd |only man/dfbeta.uRegress.Rd |only man/dfbetas.uRegress.Rd |only man/hatvalues.uRegress.Rd |only man/residuals.uRegress.Rd | 2 man/rstandard.uRegress.Rd |only man/rstudent.uRegress.Rd |only tests/testthat/test_regress.R | 55 +++++- 19 files changed, 784 insertions(+), 164 deletions(-)
Title: Working with 'LimeSurvey' Surveys and Responses
Description: 'LimeSurvey' is Free/Libre Open Source Software for
the development and administrations of online studies, using
sophisticated tailoring capabilities to support multiple study
designs (see <https://www.limesurvey.org>). This package supports
programmatic creation of surveys that can then be imported into
'LimeSurvey', as well as user friendly import of responses from
'LimeSurvey' studies.
Author: Gjalt-Jorn Peters [aut, cre] ,
Andrew Heiss [aut]
Maintainer: Gjalt-Jorn Peters <gjalt-jorn@behaviorchange.eu>
Diff between limonaid versions 0.1.3 dated 2022-03-22 and 0.1.4 dated 2022-06-08
DESCRIPTION | 6 +++--- MD5 | 4 ++-- tests/testthat/test-ls_read_tsv.R | 6 +++++- 3 files changed, 10 insertions(+), 6 deletions(-)
Title: A Class for Working with Time Series Data Based on 'data.table'
and 'R6' with Largely Optional Reference Semantics
Description: Basic time series functionalities such as listing of missing
values, application of arbitrary aggregation as well as rolling (asymmetric)
window functions and automatic detection of periodicity. As it is mainly
based on 'data.table', it is fast and - in combination with the 'R6'
package - offers reference semantics. In addition to its native R6
interface, it provides an S3 interface for those who prefer the latter.
Finally yet importantly, its functional approach allows for incorporating
functionalities from many other packages.
Author: Gerold Hepp [aut, cre]
Maintainer: Gerold Hepp <ghepp@iwag.tuwien.ac.at>
Diff between DTSg versions 1.0.0 dated 2022-05-02 and 1.1.1 dated 2022-06-08
DTSg-1.0.0/DTSg/inst/tinytest/test_funinterpolate.R |only DTSg-1.0.0/DTSg/inst/tinytest/test_rollback.R |only DTSg-1.1.1/DTSg/DESCRIPTION | 8 DTSg-1.1.1/DTSg/MD5 | 51 +-- DTSg-1.1.1/DTSg/NEWS.md | 9 DTSg-1.1.1/DTSg/R/ClassDTSg.R | 96 +++-- DTSg-1.1.1/DTSg/R/Swrappers.R | 91 ++++- DTSg-1.1.1/DTSg/R/utils.R | 16 DTSg-1.1.1/DTSg/build/vignette.rds |binary DTSg-1.1.1/DTSg/inst/doc/a_basicUsage.html | 339 ++++++++++++++++++-- DTSg-1.1.1/DTSg/inst/doc/b_advancedUsage.html | 259 ++++++++++++++- DTSg-1.1.1/DTSg/inst/tinytest/data.R | 10 DTSg-1.1.1/DTSg/inst/tinytest/test_DTSg.R | 31 + DTSg-1.1.1/DTSg/inst/tinytest/test_utils.R |only DTSg-1.1.1/DTSg/man/S3WrapperGenerator.Rd | 2 DTSg-1.1.1/DTSg/man/aggregate.DTSg.Rd | 5 DTSg-1.1.1/DTSg/man/colapply.DTSg.Rd | 13 DTSg-1.1.1/DTSg/man/cols.DTSg.Rd | 3 DTSg-1.1.1/DTSg/man/interpolateLinear.Rd | 6 DTSg-1.1.1/DTSg/man/nas.DTSg.Rd | 4 DTSg-1.1.1/DTSg/man/plot.DTSg.Rd | 9 DTSg-1.1.1/DTSg/man/rollapply.DTSg.Rd | 12 DTSg-1.1.1/DTSg/man/rowaggregate.DTSg.Rd | 11 DTSg-1.1.1/DTSg/man/rowbind.DTSg.Rd | 6 DTSg-1.1.1/DTSg/man/setColNames.DTSg.Rd | 14 DTSg-1.1.1/DTSg/man/setCols.DTSg.Rd | 11 DTSg-1.1.1/DTSg/man/subset.DTSg.Rd | 7 DTSg-1.1.1/DTSg/man/summary.DTSg.Rd | 4 28 files changed, 856 insertions(+), 161 deletions(-)
Title: Handling an Inconsistent Coded Categorical Variable in a Panel
Dataset
Description: There are offered automatic methods to map a categorical variable according to a specific mappings across different time points.
The main rule is to replicate the observation if it could be assign to a few categories.
Then using simple frequencies or statistical methods to approximate probabilities of being assign to each of them.
This algorithm was invented and implemented in the paper by (Nasinski, Majchrowska and Broniatowska (2020) <doi:10.24425/cejeme.2020.134747>).
Author: Maciej Nasinski [aut, cre]
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>
Diff between cat2cat versions 0.3.3 dated 2022-03-11 and 0.4.1 dated 2022-06-08
DESCRIPTION | 15 MD5 | 53 +- NAMESPACE | 2 NEWS.md | 14 R/cat2cat.R | 453 ++++++++++++--------- R/cat2cat_agg.R | 10 R/data.R | 8 R/lms.R | 4 R/plot_cat2cat.R | 6 build/vignette.rds |binary data/occup.rda |binary data/occup_small.rda |binary inst/doc/cat2cat.R | 365 +++++++++++++---- inst/doc/cat2cat.Rmd | 471 ++++++++++++++++++---- inst/doc/cat2cat.html | 750 ++++++++++++++++++++++++------------ man/cat2cat.Rd | 31 - man/cat2cat_ml.Rd |only man/cross_c2c.Rd | 2 man/dummy_c2c.Rd |only man/occup.Rd | 2 man/occup_small.Rd | 4 man/prune_c2c.Rd | 2 man/summary_c2c.Rd | 2 man/trans.Rd | 4 tests/testthat/Rplots.pdf |binary tests/testthat/test-cat2cat.R | 71 ++- tests/testthat/test-multi-cat2cat.R |only tests/testthat/test-utils.R | 7 vignettes/cat2cat.Rmd | 471 ++++++++++++++++++---- 29 files changed, 2001 insertions(+), 746 deletions(-)
Title: Miscellaneous Useful Functions for Statistics
Description: A series of functions in some way considered useful to the author.
These include functions for subsetting tables and generating indices for
arrays, conditioning and intervening in probability distributions,
generating combinations and more...
Author: Robin Evans [aut, cre],
Mathias Drton [ctb]
Maintainer: Robin Evans <evans@stats.ox.ac.uk>
Diff between rje versions 1.10.16 dated 2020-06-10 and 1.11.0 dated 2022-06-08
rje-1.10.16/rje/R/logit.R |only rje-1.10.16/rje/R/setsetdiff.R |only rje-1.10.16/rje/R/setsetequal.R |only rje-1.10.16/rje/R/subsetOrder.R |only rje-1.10.16/rje/R/subsetmatch.R |only rje-1.10.16/rje/R/z%subof%.R |only rje-1.10.16/rje/man/rje.Rd |only rje-1.11.0/rje/ChangeLog | 10 rje-1.11.0/rje/DESCRIPTION | 16 - rje-1.11.0/rje/MD5 | 61 ++--- rje-1.11.0/rje/NAMESPACE | 2 rje-1.11.0/rje/R/Dirichlet.R | 2 rje-1.11.0/rje/R/Rcpp.R |only rje-1.11.0/rje/R/cubeHelix.R | 4 rje-1.11.0/rje/R/expit.R | 20 + rje-1.11.0/rje/R/inclusionMax.R |only rje-1.11.0/rje/R/is.subset.R | 10 rje-1.11.0/rje/R/orders.R | 2 rje-1.11.0/rje/R/patternRepeat.R | 1 rje-1.11.0/rje/R/powerSet.R | 2 rje-1.11.0/rje/R/quickSort.R | 2 rje-1.11.0/rje/R/rje.R | 26 -- rje-1.11.0/rje/R/setmatch.R | 59 +++++ rje-1.11.0/rje/R/subsetMatrix.R | 32 ++ rje-1.11.0/rje/build/vignette.rds |binary rje-1.11.0/rje/inst/doc/conditional_distributions.html | 188 +++++++++++------ rje-1.11.0/rje/man/Dirichlet.Rd | 2 rje-1.11.0/rje/man/cubeHelix.Rd | 4 rje-1.11.0/rje/man/expit.Rd | 8 rje-1.11.0/rje/man/inclusionMax.Rd |only rje-1.11.0/rje/man/is.subset.Rd | 9 rje-1.11.0/rje/man/kronPower.Rd |only rje-1.11.0/rje/man/patternRepeat.Rd | 7 rje-1.11.0/rje/man/quickSort.Rd | 2 rje-1.11.0/rje/man/setmatch.Rd | 11 rje-1.11.0/rje/man/subsetOrder.Rd | 2 rje-1.11.0/rje/tests/testthat/test-powerSet.R | 10 37 files changed, 343 insertions(+), 149 deletions(-)
Title: Convert Between Bookmaker Odds and Probabilities
Description: Convert between bookmaker odds and probabilities. Eight different
algorithms are available, including basic normalization, Shin's method
(Hyun Song Shin, (1992) <doi:10.2307/2234526>), and others.
Author: Jonas Christoffer Lindstroem
Maintainer: Jonas Christoffer Lindstroem <jonaslindstrom88@gmail.com>
Diff between implied versions 0.4.0 dated 2021-07-14 and 0.4.1 dated 2022-06-08
DESCRIPTION | 8 MD5 | 14 NEWS.md | 43 +- R/implied_probabilities.R | 859 +++++++++++++++++++++--------------------- build/vignette.rds |binary inst/doc/introduction.R | 210 +++++----- inst/doc/introduction.html | 692 ++++++++++++++++++---------------- tests/testthat/test_1.R | 912 ++++++++++++++++++++++----------------------- 8 files changed, 1396 insertions(+), 1342 deletions(-)
Title: Download and Import the HUGO Gene Nomenclature Committee
('HGNC') Data Set into R
Description: A set of routines to quickly download and import the 'HGNC'
data set on mapping of gene symbols to gene entries in other popular
databases or resources.
Author: Ramiro Magno [aut, cre] ,
Ana-Teresa Maia [aut] ,
CINTESIS [cph, fnd]
Maintainer: Ramiro Magno <ramiro.magno@gmail.com>
Diff between hgnc versions 0.1.0 dated 2022-03-21 and 0.1.2 dated 2022-06-08
hgnc-0.1.0/hgnc/R/filter_by_symbol.R |only hgnc-0.1.2/hgnc/DESCRIPTION | 10 - hgnc-0.1.2/hgnc/MD5 | 31 ++--- hgnc-0.1.2/hgnc/NEWS.md | 12 ++ hgnc-0.1.2/hgnc/R/filter_by_keyword.R |only hgnc-0.1.2/hgnc/R/import_hgnc_dataset.R | 174 ++++++++++++++--------------- hgnc-0.1.2/hgnc/R/last_update.R | 2 hgnc-0.1.2/hgnc/R/latest_archive.R | 7 + hgnc-0.1.2/hgnc/R/list_archives.R | 3 hgnc-0.1.2/hgnc/README.md | 55 +++++---- hgnc-0.1.2/hgnc/inst/WORDLIST | 5 hgnc-0.1.2/hgnc/man/figures/cintesis.svg |only hgnc-0.1.2/hgnc/man/filter_by_keyword.Rd | 41 +++++- hgnc-0.1.2/hgnc/man/hgnc-package.Rd | 1 hgnc-0.1.2/hgnc/man/import_hgnc_dataset.Rd | 2 hgnc-0.1.2/hgnc/man/last_update.Rd | 3 hgnc-0.1.2/hgnc/man/latest_archive_url.Rd | 9 + hgnc-0.1.2/hgnc/man/list_archives.Rd | 4 18 files changed, 215 insertions(+), 144 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-10-23 1.9
2015-01-26 1.7
2014-07-27 1.4
2014-05-30 1.3
2014-01-27 1.2
2014-01-26 1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-08-28 1.1
2017-07-25 1.0
Title: A Versatile Cutting Tool
Description: A tool for cutting data into intervals. Allows singleton intervals.
Always includes the whole range of data by default. Flexible labelling.
Convenience functions for cutting by quantiles etc. Handles dates, times, units
and other vectors.
Author: David Hugh-Jones [aut, cre],
Daniel Possenriede [ctb]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>
Diff between santoku versions 0.7.0 dated 2022-03-18 and 0.8.0 dated 2022-06-08
santoku-0.7.0/santoku/man/lbl_endpoint.Rd |only santoku-0.8.0/santoku/DESCRIPTION | 13 santoku-0.8.0/santoku/MD5 | 89 +- santoku-0.8.0/santoku/NAMESPACE | 43 + santoku-0.8.0/santoku/NEWS.md | 25 santoku-0.8.0/santoku/R/breaks-impl.R | 39 santoku-0.8.0/santoku/R/breaks.R | 52 + santoku-0.8.0/santoku/R/categorize.R | 2 santoku-0.8.0/santoku/R/chop.R | 80 + santoku-0.8.0/santoku/R/labels-impl.R | 30 santoku-0.8.0/santoku/R/labels.R | 130 ++- santoku-0.8.0/santoku/R/non-standard-types-doc.R | 4 santoku-0.8.0/santoku/R/santoku-cast.R |only santoku-0.8.0/santoku/R/tab.R | 30 santoku-0.8.0/santoku/R/utils.R | 18 santoku-0.8.0/santoku/README.md | 80 + santoku-0.8.0/santoku/build/vignette.rds |binary santoku-0.8.0/santoku/inst/doc/santoku.R | 19 santoku-0.8.0/santoku/inst/doc/santoku.Rmd | 47 - santoku-0.8.0/santoku/inst/doc/santoku.html | 529 +++++++++---- santoku-0.8.0/santoku/man/chop.Rd | 19 santoku-0.8.0/santoku/man/chop_equally.Rd | 12 santoku-0.8.0/santoku/man/chop_evenly.Rd | 1 santoku-0.8.0/santoku/man/chop_mean_sd.Rd | 1 santoku-0.8.0/santoku/man/chop_n.Rd | 1 santoku-0.8.0/santoku/man/chop_pretty.Rd |only santoku-0.8.0/santoku/man/chop_proportions.Rd |only santoku-0.8.0/santoku/man/chop_quantiles.Rd | 1 santoku-0.8.0/santoku/man/chop_width.Rd | 1 santoku-0.8.0/santoku/man/fillet.Rd | 1 santoku-0.8.0/santoku/man/lbl_dash.Rd | 2 santoku-0.8.0/santoku/man/lbl_discrete.Rd | 6 santoku-0.8.0/santoku/man/lbl_endpoints.Rd |only santoku-0.8.0/santoku/man/lbl_glue.Rd | 2 santoku-0.8.0/santoku/man/lbl_intervals.Rd | 2 santoku-0.8.0/santoku/man/lbl_manual.Rd | 2 santoku-0.8.0/santoku/man/lbl_midpoints.Rd |only santoku-0.8.0/santoku/man/lbl_seq.Rd | 4 santoku-0.8.0/santoku/man/non-standard-types.Rd | 4 santoku-0.8.0/santoku/man/santoku-cast.Rd |only santoku-0.8.0/santoku/man/santoku-package.Rd | 4 santoku-0.8.0/santoku/tests/testthat/test-Date-DateTime.R | 10 santoku-0.8.0/santoku/tests/testthat/test-breaks.R | 22 santoku-0.8.0/santoku/tests/testthat/test-chop.R | 16 santoku-0.8.0/santoku/tests/testthat/test-labels.R | 104 +- santoku-0.8.0/santoku/tests/testthat/test-nonstandard.R | 178 ++++ santoku-0.8.0/santoku/tests/testthat/test-tab.R | 22 santoku-0.8.0/santoku/tests/testthat/test-zzz-systematic.R | 30 santoku-0.8.0/santoku/vignettes/santoku.Rmd | 47 - 49 files changed, 1371 insertions(+), 351 deletions(-)
Title: Parallel Dynamic Web-Scraping Using 'RSelenium'
Description: A system to increase the efficiency of dynamic web-scraping with 'RSelenium'
by leveraging parallel processing. You provide a function wrapper for your 'RSelenium'
scraping routine with a set of inputs, and 'parsel' runs it in several browser instances.
Chunked input processing as well as error catching and logging ensures seamless
execution and minimal data loss, even when unforeseen 'RSelenium' errors occur.
Author: Till Tietz [cre, aut]
Maintainer: Till Tietz <ttietz2014@gmail.com>
Diff between parsel versions 0.1.1 dated 2022-03-17 and 0.2.0 dated 2022-06-08
DESCRIPTION | 10 - MD5 | 32 ++++- NAMESPACE | 2 NEWS.md | 8 + R/constructors_build.R |only R/constructors_elements.R |only R/constructors_navigation.R |only R/constructors_pipe.R |only R/parscrape.R | 11 + README.md | 88 +++++++++++++-- man/click.Rd |only man/close_rselenium.Rd | 36 +++--- man/gen_varname.Rd |only man/get_element.Rd |only man/go.Rd |only man/goback.Rd |only man/goforward.Rd |only man/grapes-greater-than-greater-than-grapes.Rd |only man/parscrape.Rd | 142 ++++++++++++------------- man/parsel-package.Rd | 50 ++++---- man/show.Rd |only man/type.Rd |only tests/testthat/test_constructors.R |only tests/testthat/test_input_handling.R | 8 + 24 files changed, 246 insertions(+), 141 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-01-28 1.6
2014-07-27 1.5
2014-06-15 1.4
2014-01-27 1.3
2014-01-26 1.2
2014-01-25 1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-09-11 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-03-27 1.5
2014-12-22 1.4
2014-10-22 1.3
2012-10-11 1.2
2011-11-14 1.01
2011-11-07 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-04-18 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2009-03-04 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-12-28 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-06-23 2.0
2015-02-13 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-02-17 0.2.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-08-28 0.9
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-03-18 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-10-24 1.1.0
2012-02-07 1.0.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-07-02 0.1.0.2374
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-04-12 0.60
2014-04-01 0.59
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-06-06 1.4
2015-03-24 1.3
2015-01-09 1.2
2014-12-10 1.1
2014-05-08 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-06-15 0.2-0
2011-03-26 0.1-6
2011-01-06 0.0-4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-12-07 1.2
2014-11-26 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-03-14 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-12-18 0.1-10
2012-09-18 0.1-7
2012-03-14 0.1-1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-10-31 1.5.3
2013-07-15 1.5
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-08-02 1.0
Title: R Interface to SDMX Web Services
Description: Provides functions to retrieve data and metadata from providers
that disseminate data by means of SDMX web services.
SDMX (Statistical Data and Metadata eXchange) is a standard that
has been developed with the aim of simplifying the exchange of
statistical information.
More about the SDMX standard and the SDMX Web Services
can be found at: <https://sdmx.org>.
Author: Attilio Mattiocco, Diana Nicoletti, Gianpaolo Lopez, Banca d'Italia
Maintainer: Attilio Mattiocco <attilio.mattiocco@bancaditalia.it>
Diff between RJSDMX versions 2.3-3 dated 2020-02-27 and 2.3-3.1 dated 2022-06-08
DESCRIPTION | 6 +++--- MD5 | 4 ++-- man/RJSDMX-package.Rd | 2 +- 3 files changed, 6 insertions(+), 6 deletions(-)
Title: Graphical User Interface to the 'mi' Package
Description: This GUI for the mi package walks the user through the steps of multiple imputation and the analysis of completed data.
Author: Bob Carpenter [ctb],
Ben Goodrich [cre, aut],
Yu-Sung Su [ctb]
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>
Diff between migui versions 1.1 dated 2015-04-27 and 1.3 dated 2022-06-08
DESCRIPTION | 12 ++++++------ MD5 | 8 ++++---- NAMESPACE | 7 +++++++ R/migui.R | 7 ++++--- man/migui.Rd | 11 +++++------ 5 files changed, 26 insertions(+), 19 deletions(-)
Title: Helper Functions for Bayesian Analyses
Description: Functions to 'numericise' 'R' objects (coerce to numeric
objects), summarise 'MCMC' (Monte Carlo Markov Chain) samples and
calculate deviance residuals as well as 'R' translations of some
'BUGS' (Bayesian Using Gibbs Sampling), 'JAGS' (Just Another Gibbs
Sampler), 'STAN' and 'TMB' (Template Model Builder) functions.
Author: Joe Thorley [aut, cre] ,
Kirill Mueller [ctb] ,
Nadine Hussein [ctb] ,
Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>
Diff between extras versions 0.2.0 dated 2021-08-05 and 0.3.0 dated 2022-06-08
DESCRIPTION | 42 +++----- MD5 | 180 ++++++++++++++++++++----------------- NAMESPACE | 16 +++ NEWS.md | 22 ++++ R/dev.R | 32 ++++++ R/extras-package.R | 2 R/ilogit.R | 16 +++ R/log-lik.R | 19 +++ R/log.R | 18 +++ R/odds.R | 71 ++++++++++++++ R/params.R | 2 R/proportional.R |only R/pzeros.R |only R/ran.R | 13 ++ R/res.R | 43 +++++++- R/step.R |only README.md | 20 ++-- build/partial.rdb |binary man/dev_bern.Rd | 1 man/dev_binom.Rd | 1 man/dev_gamma_pois.Rd | 1 man/dev_lnorm.Rd | 1 man/dev_neg_binom.Rd | 1 man/dev_norm.Rd | 1 man/dev_pois.Rd | 3 man/dev_pois_zi.Rd |only man/extras-package.Rd | 8 - man/fabs.Rd | 5 - man/figures/logo.png |only man/ilog.Rd |only man/ilogit.Rd | 5 - man/inv_logit.Rd |only man/inv_odds.Rd |only man/invlogit.Rd | 5 - man/kurtosis.Rd | 1 man/log-set.Rd | 5 - man/log_lik_bern.Rd | 1 man/log_lik_binom.Rd | 1 man/log_lik_gamma_pois.Rd | 1 man/log_lik_lnorm.Rd | 1 man/log_lik_neg_binom.Rd | 1 man/log_lik_norm.Rd | 1 man/log_lik_pois.Rd | 3 man/log_lik_pois_zi.Rd |only man/log_odds_ratio.Rd | 2 man/log_odds_ratio2.Rd |only man/logit-set.Rd | 5 - man/logit.Rd | 5 - man/lower.Rd | 1 man/odds-set.Rd |only man/odds.Rd | 2 man/odds_ratio.Rd | 2 man/odds_ratio2.Rd |only man/params.Rd | 2 man/phi.Rd | 5 - man/pow.Rd | 5 - man/proportional_change.Rd |only man/proportional_change2.Rd |only man/proportional_difference.Rd |only man/proportional_difference2.Rd |only man/pvalue.Rd | 1 man/pzeros.Rd |only man/ran_bern.Rd | 1 man/ran_binom.Rd | 1 man/ran_gamma.Rd | 1 man/ran_gamma_pois.Rd | 1 man/ran_lnorm.Rd | 1 man/ran_neg_binom.Rd | 1 man/ran_norm.Rd | 1 man/ran_pois.Rd | 3 man/ran_pois_zi.Rd |only man/res_bern.Rd | 3 man/res_binom.Rd | 3 man/res_gamma_pois.Rd | 3 man/res_lnorm.Rd | 3 man/res_neg_binom.Rd | 3 man/res_norm.Rd | 3 man/res_pois.Rd | 5 - man/res_pois_zi.Rd |only man/skewness.Rd | 1 man/step.Rd |only man/svalue.Rd | 1 man/upper.Rd | 1 man/variance.Rd | 1 man/xtr_mean.Rd | 1 man/xtr_median.Rd | 1 man/xtr_sd.Rd | 1 man/zeros.Rd | 1 man/zscore.Rd | 1 tests/testthat/test-as-list.R | 4 tests/testthat/test-dev.R | 53 +++++++++- tests/testthat/test-ilog.R |only tests/testthat/test-log-lik.R | 8 + tests/testthat/test-odds.R | 42 ++++++++ tests/testthat/test-pextreme.R | 2 tests/testthat/test-proportional.R |only tests/testthat/test-pzeros.R |only tests/testthat/test-ran.R | 14 ++ tests/testthat/test-res.R | 61 ++++++++++-- tests/testthat/test-sextreme.R | 2 tests/testthat/test-step.R |only tests/testthat/test-translations.R | 2 tests/testthat/test-zeros.R | 12 +- 103 files changed, 644 insertions(+), 171 deletions(-)
Title: Advanced and Fast Data Transformation
Description: A C/C++ based package for advanced data transformation and
statistical computing in R that is extremely fast, class-agnostic,
and programmer friendly through a flexible and parsimonious syntax.
It is well integrated with base R, 'dplyr' / (grouped) 'tibble',
'data.table', 'sf', 'plm' (panel-series and data frames), and
non-destructively handles other matrix or data frame based classes (like
'ts', 'xts' / 'zoo', 'tsibble', ...)
--- Key Features: ---
(1) Advanced statistical programming: A full set of fast statistical functions
supporting grouped and weighted computations on vectors, matrices and
data frames. Fast and programmable grouping, ordering, unique values/rows,
factor generation and interactions. Fast and flexible functions for data
manipulation, data object conversions, and memory efficient R programming.
(2) Advanced aggregation: Fast and easy multi-data-type, multi-function, weighted
and parallelized data aggregation.
(3) Advanced transformations: Fast row/column arithmetic, (grouped) replacing
and sweeping out of statistics (by reference), (grouped, weighted) scaling/standardizing,
(higher-dimensional) between (averaging) and (quasi-)within (demeaning) transformations,
linear prediction, model fitting and testing exclusion restrictions.
(4) Advanced time-computations: Fast and flexible indexed time series and panel data classes.
Fast (sequences of) lags/leads, and (lagged/leaded, iterated, quasi-, log-)
differences and (compounded) growth rates on (irregular) time series and panels.
Multivariate auto-, partial- and cross-correlation functions for panel data.
Panel data to (ts-)array conversions.
(5) List processing: Recursive list search, splitting,
extraction/subsetting, apply, and generalized row-binding / unlisting to data frame.
(6) Advanced data exploration: Fast (grouped, weighted, panel-decomposed)
summary statistics and descriptive tools.
Author: Sebastian Krantz [aut, cre],
Matt Dowle [ctb],
Arun Srinivasan [ctb],
Morgan Jacob [ctb],
Dirk Eddelbuettel [ctb],
Laurent Berge [ctb],
Kevin Tappe [ctb],
R Core Team and contributors worldwide [ctb],
Martyn Plummer [cph],
1999-2016 The R Core Team [ [...truncated...]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>
Diff between collapse versions 1.7.6 dated 2022-02-11 and 1.8.4 dated 2022-06-08
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Title: Network Applications to Facial Communication Data
Description: Functions to analyze and visualize communication data,
based on network theory and resampling methods.
Farine, D. R. (2017) <doi:10.1111/2041-210X.12772>;
Carsey, T., & Harden, J. (2014) <doi:10.4135/9781483319605>.
Primarily targeted at datasets of facial expressions coded with the Facial Action Coding System.
Ekman, P., Friesen, W. V., & Hager, J. C. (2002). "Facial action coding system - investigator's guide" <https://www.paulekman.com/facial-action-coding-system/>.
Author: Alex Mielke [aut],
Bridget M. Waller [aut],
Claire Perez [aut],
Alan V. Rincon [aut, cre],
Julie Duboscq [aut],
Jerome Micheletta [aut]
Maintainer: Alan V. Rincon <avrincon1@gmail.com>
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Title: Multivariate Difference Between Two Groups
Description: Estimation of multivariate differences between two groups (e.g., multivariate sex differences) with regularized regression methods and predictive approach. See Lönnqvist & Ilmarinen (2021) <doi:10.1007/s11109-021-09681-2> and Ilmarinen et al. (2022) <doi:10.1177/08902070221088155>.
Includes tools that help in understanding difference score reliability, predictions of difference score variables, conditional intra-class correlations, and heterogeneity of variance estimates. Package development was supported by the Academy of Finland research grant 338891.
Author: Ville-Juhani Ilmarinen [aut, cre]
Maintainer: Ville-Juhani Ilmarinen <vj.ilmarinen@gmail.com>
Diff between multid versions 0.5.0 dated 2022-05-02 and 0.6.0 dated 2022-06-08
DESCRIPTION | 9 +++- MD5 | 43 +++++++++++++--------- NAMESPACE | 1 NEWS.md | 8 ++++ R/D_regularized.R | 16 +++++--- R/D_regularized_fold.R | 8 +++- R/D_regularized_fold_out.R | 10 ++++- R/D_regularized_out.R | 11 ++++- R/D_regularized_vanilla.R | 8 +++- R/reliability_dms.R |only R/sem_dadas.R | 5 ++ R/vpc_at.R | 79 +++++++++++++++++++++++++++++------------- README.md | 46 +++++++++++++++++++----- build |only inst/doc |only man/D_regularized.Rd | 5 ++ man/D_regularized_fold.Rd | 5 ++ man/D_regularized_fold_out.Rd | 5 ++ man/D_regularized_out.Rd | 5 ++ man/D_regularized_vanilla.Rd | 5 ++ man/reliability_dms.Rd |only man/sem_dadas.Rd | 2 + man/vpc_at.Rd | 4 +- vignettes |only 24 files changed, 201 insertions(+), 74 deletions(-)
Title: Distances on Directed Graphs
Description: Distances on dual-weighted directed graphs using
priority-queue shortest paths (Padgham (2019) <doi:10.32866/6945>).
Weighted directed graphs have weights from A to B which may differ
from those from B to A. Dual-weighted directed graphs have two sets
of such weights. A canonical example is a street network to be used
for routing in which routes are calculated by weighting distances
according to the type of way and mode of transport, yet lengths of
routes must be calculated from direct distances.
Author: Mark Padgham [aut, cre],
Andreas Petutschnig [aut],
Robin Lovelace [ctb],
Andrew Smith [ctb],
Malcolm Morgan [ctb],
Shane Saunders [cph]
Maintainer: Mark Padgham <mark.padgham@email.com>
Diff between dodgr versions 0.2.13 dated 2022-04-01 and 0.2.14 dated 2022-06-08
DESCRIPTION | 8 +- MD5 | 54 ++++++------- NEWS.md | 11 ++ R/dists-categorical.R | 5 + R/dists.R | 4 - R/graph-functions.R | 4 - R/weight-streetnet-times.R | 2 R/weight-streetnet.R | 73 ++++++++++-------- README.md | 19 ++++ build/vignette.rds |binary inst/doc/dists-categorical.html | 44 +++++------ inst/doc/dodgr.html | 147 +++++++++++++++++++++++--------------- inst/doc/flows.html | 31 +++----- inst/doc/times.R | 1 inst/doc/times.Rmd | 1 inst/doc/times.html | 17 ++-- man/dodgr_distances.Rd | 43 +++++++++++ man/dodgr_dists.Rd | 4 - man/dodgr_dists_categorical.Rd | 5 + man/dodgr_isochrones.Rd | 6 + man/dodgr_streetnet_sc.Rd | 9 ++ man/dodgr_times.Rd | 43 +++++++++++ man/weight_railway.Rd | 6 - src/sf-as-network.cpp | 27 +----- src/sf-as-network.h | 4 - tests/testthat/test-sc.R | 2 tests/testthat/test-wt-profiles.R | 8 +- vignettes/times.Rmd | 1 28 files changed, 374 insertions(+), 205 deletions(-)
Title: Functions for Tidy Analysis and Generation of Random Data
Description: To make it easy to generate random numbers based upon the underlying stats
distribution functions. All data is returned in a tidy and structured
format making working with the data simple and straight forward. Given that the
data is returned in a tidy 'tibble' it lends itself to working with the rest of the
'tidyverse'.
Author: Steven Sanderson [aut, cre],
Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>
Diff between TidyDensity versions 1.1.0 dated 2022-05-06 and 1.2.0 dated 2022-06-08
TidyDensity-1.1.0/TidyDensity/R/est_param-lognormal.R |only TidyDensity-1.2.0/TidyDensity/DESCRIPTION | 8 TidyDensity-1.2.0/TidyDensity/MD5 | 141 +- TidyDensity-1.2.0/TidyDensity/NAMESPACE | 8 TidyDensity-1.2.0/TidyDensity/NEWS.md | 26 TidyDensity-1.2.0/TidyDensity/R/00_global_variables.R | 4 TidyDensity-1.2.0/TidyDensity/R/autoplot-combined-dist.R | 37 TidyDensity-1.2.0/TidyDensity/R/autoplot-density.R | 673 +++++----- TidyDensity-1.2.0/TidyDensity/R/autoplot-multi-dist.R | 37 TidyDensity-1.2.0/TidyDensity/R/bootstrap-unnest-tbl.R |only TidyDensity-1.2.0/TidyDensity/R/empirical-tidy-bootstrap.R |only TidyDensity-1.2.0/TidyDensity/R/empirical-tidy.R | 252 ++- TidyDensity-1.2.0/TidyDensity/R/est-param-lognormal.R |only TidyDensity-1.2.0/TidyDensity/R/palette-color-blind.R |only TidyDensity-1.2.0/TidyDensity/R/random-tidy-geom.R | 2 TidyDensity-1.2.0/TidyDensity/R/stats-beta-tbl.R | 9 TidyDensity-1.2.0/TidyDensity/R/stats-binomial-tbl.R | 9 TidyDensity-1.2.0/TidyDensity/R/stats-cauchy-tbl.R | 9 TidyDensity-1.2.0/TidyDensity/R/stats-chisquare-tbl.R | 9 TidyDensity-1.2.0/TidyDensity/R/stats-confidence-intervals.R |only TidyDensity-1.2.0/TidyDensity/R/stats-exponential-tbl.R | 9 TidyDensity-1.2.0/TidyDensity/R/stats-f-tbl.R | 9 TidyDensity-1.2.0/TidyDensity/R/stats-gamma-tbl.R | 9 TidyDensity-1.2.0/TidyDensity/R/stats-geometric-tbl.R | 9 TidyDensity-1.2.0/TidyDensity/R/stats-hypergeometric-tbl.R | 9 TidyDensity-1.2.0/TidyDensity/R/stats-logistic-tbl.R | 9 TidyDensity-1.2.0/TidyDensity/R/stats-lognormal-tbl.R | 9 TidyDensity-1.2.0/TidyDensity/R/stats-negative-binomial-tbl.R | 9 TidyDensity-1.2.0/TidyDensity/R/stats-normal-tbl.R | 9 TidyDensity-1.2.0/TidyDensity/R/stats-pareto-tbl.R | 9 TidyDensity-1.2.0/TidyDensity/R/stats-poisson-tbl.R | 9 TidyDensity-1.2.0/TidyDensity/R/stats-t-tbl.R | 11 TidyDensity-1.2.0/TidyDensity/R/stats-uniform-tbl.R | 9 TidyDensity-1.2.0/TidyDensity/R/stats-weibull-tbl.R | 9 TidyDensity-1.2.0/TidyDensity/R/util-distribution-comparison.R |only TidyDensity-1.2.0/TidyDensity/README.md | 28 TidyDensity-1.2.0/TidyDensity/build/vignette.rds |binary TidyDensity-1.2.0/TidyDensity/inst/doc/getting-started.html | 44 TidyDensity-1.2.0/TidyDensity/man/bootstrap_unnest_tbl.Rd |only TidyDensity-1.2.0/TidyDensity/man/ci_hi.Rd |only TidyDensity-1.2.0/TidyDensity/man/ci_lo.Rd |only TidyDensity-1.2.0/TidyDensity/man/color_blind.Rd |only TidyDensity-1.2.0/TidyDensity/man/figures/README-more_than_nine_simulations-1.png |binary TidyDensity-1.2.0/TidyDensity/man/figures/README-more_than_nine_simulations-2.png |binary TidyDensity-1.2.0/TidyDensity/man/figures/README-more_than_nine_simulations-3.png |binary TidyDensity-1.2.0/TidyDensity/man/figures/README-more_than_nine_simulations-4.png |binary TidyDensity-1.2.0/TidyDensity/man/figures/README-plot_density-1.png |binary TidyDensity-1.2.0/TidyDensity/man/figures/README-plot_density-2.png |binary TidyDensity-1.2.0/TidyDensity/man/figures/README-plot_density-3.png |binary TidyDensity-1.2.0/TidyDensity/man/figures/README-plot_density-4.png |binary TidyDensity-1.2.0/TidyDensity/man/td_scale_color_colorblind.Rd |only TidyDensity-1.2.0/TidyDensity/man/td_scale_fill_colorblind.Rd |only TidyDensity-1.2.0/TidyDensity/man/tidy_autoplot.Rd | 2 TidyDensity-1.2.0/TidyDensity/man/tidy_bootstrap.Rd |only TidyDensity-1.2.0/TidyDensity/man/tidy_distribution_comparison.Rd |only TidyDensity-1.2.0/TidyDensity/man/tidy_empirical.Rd | 14 TidyDensity-1.2.0/TidyDensity/man/tidy_kurtosis_vec.Rd | 2 TidyDensity-1.2.0/TidyDensity/man/tidy_range_statistic.Rd | 2 TidyDensity-1.2.0/TidyDensity/man/tidy_skewness_vec.Rd | 2 TidyDensity-1.2.0/TidyDensity/man/tidyeval.Rd | 30 TidyDensity-1.2.0/TidyDensity/man/util_beta_stats_tbl.Rd | 5 TidyDensity-1.2.0/TidyDensity/man/util_binomial_stats_tbl.Rd | 5 TidyDensity-1.2.0/TidyDensity/man/util_cauchy_stats_tbl.Rd | 5 TidyDensity-1.2.0/TidyDensity/man/util_chisquare_stats_tbl.Rd | 5 TidyDensity-1.2.0/TidyDensity/man/util_exponential_stats_tbl.Rd | 5 TidyDensity-1.2.0/TidyDensity/man/util_f_stats_tbl.Rd | 5 TidyDensity-1.2.0/TidyDensity/man/util_gamma_stats_tbl.Rd | 5 TidyDensity-1.2.0/TidyDensity/man/util_geometric_stats_tbl.Rd | 5 TidyDensity-1.2.0/TidyDensity/man/util_hypergeometric_stats_tbl.Rd | 5 TidyDensity-1.2.0/TidyDensity/man/util_logistic_stats_tbl.Rd | 5 TidyDensity-1.2.0/TidyDensity/man/util_lognormal_param_estimate.Rd | 2 TidyDensity-1.2.0/TidyDensity/man/util_lognormal_stats_tbl.Rd | 5 TidyDensity-1.2.0/TidyDensity/man/util_negative_binomial_stats_tbl.Rd | 5 TidyDensity-1.2.0/TidyDensity/man/util_normal_stats_tbl.Rd | 5 TidyDensity-1.2.0/TidyDensity/man/util_pareto_stats_tbl.Rd | 5 TidyDensity-1.2.0/TidyDensity/man/util_poisson_stats_tbl.Rd | 5 TidyDensity-1.2.0/TidyDensity/man/util_t_stats_tbl.Rd | 7 TidyDensity-1.2.0/TidyDensity/man/util_uniform_stats_tbl.Rd | 5 TidyDensity-1.2.0/TidyDensity/man/util_weibull_stats_tbl.Rd | 5 79 files changed, 954 insertions(+), 616 deletions(-)
Title: Geometric Median, k-Medians Clustering and Robust Median PCA
Description: Fast algorithms for robust estimation with large samples of multivariate observations. Estimation of the geometric median, robust k-Gmedian clustering, and robust PCA based on the Gmedian covariation matrix.
Author: Herve Cardot
Maintainer: Herve Cardot <herve.cardot@u-bourgogne.fr>
Diff between Gmedian versions 1.2.6 dated 2021-04-07 and 1.2.7 dated 2022-06-08
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NEWS | 4 ++++ R/kGmedian.R | 2 +- build/partial.rdb |binary 5 files changed, 13 insertions(+), 9 deletions(-)
Title: Connecting to Various Database Platforms
Description: An R 'DataBase Interface' ('DBI') compatible interface to various database platforms ('PostgreSQL', 'Oracle', 'Microsoft SQL Server',
'Amazon Redshift', 'Microsoft Parallel Database Warehouse', 'IBM Netezza', 'Apache Impala', 'Google BigQuery', 'Spark', and 'SQLite'). Also includes support for
fetching data as 'Andromeda' objects. Uses 'Java Database Connectivity' ('JDBC') to connect to databases (except SQLite).
Author: Martijn Schuemie [aut, cre],
Marc Suchard [aut],
Observational Health Data Science and Informatics [cph],
Microsoft Inc. [cph] ,
PostgreSQL Global Development Group [cph] ,
Oracle Inc. [cph] ,
Amazon Inc. [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>
Diff between DatabaseConnector versions 5.0.2 dated 2022-02-11 and 5.0.3 dated 2022-06-08
DESCRIPTION | 10 MD5 | 32 NEWS.md | 17 R/Andromeda.R | 3 R/BulkLoad.R | 2 R/Connect.R | 9 R/InsertTable.R | 8 R/Sql.R | 2 build/DatabaseConnector.pdf | 4400 ++++------ build/vignette.rds |binary inst/doc/Connecting.pdf |binary inst/doc/Querying.pdf |binary inst/sql/sql_server/redshiftCopy.sql | 2 man/dbAppendTable-DatabaseConnectorConnection-character-data.frame-method.Rd | 4 man/dbCreateTable-DatabaseConnectorConnection-character-data.frame-method.Rd | 2 man/dbReadTable-DatabaseConnectorConnection-character-method.Rd | 2 man/querySqlToAndromeda.Rd | 2 17 files changed, 2232 insertions(+), 2263 deletions(-)
More information about DatabaseConnector at CRAN
Permanent link
Title: Evaluation of Surrogate Endpoints in Clinical Trials
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a (bio)marker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's Seventh Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
Author: Wim Van der Elst, Fenny Ong, Paul Meyvisch, Alvaro Florez Poveda, Ariel Alonso, Hannah M. Ensor, Christopher J. Weir & Geert Molenberghs
Maintainer: Wim Van der Elst <Wim.vanderelst@gmail.com>
Diff between Surrogate versions 2.0 dated 2021-09-28 and 2.1 dated 2022-06-08
DESCRIPTION | 8 MD5 | 26 NAMESPACE | 1 NEWS | 5 R/CausalDiagramBinBin.R | 2 R/CausalDiagramContCont.R | 6 R/ICA.BinCont.R | 1247 ++++++++++++++++++-------------------------- R/ICA.Cont.Cont.MultS.R | 2 R/ICA.Cont.Cont.MultS_alt.R | 5 R/ICABinBinCounterAssum.R | 3 R/Pred.TrialT.ContCont.R | 25 R/plot_ICABinCont.R | 85 ++ man/ICABinCont.Rd | 104 ++- man/plot.ICABinCont.Rd | 14 14 files changed, 719 insertions(+), 814 deletions(-)
Title: Reading Bibliometric Data from Lattes Platform
Description: A simple API for downloading and reading xml data directly from Lattes <http://lattes.cnpq.br/>.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>
Diff between GetLattesData versions 1.4 dated 2020-03-07 and 1.4.1 dated 2022-06-08
GetLattesData-1.4.1/GetLattesData/DESCRIPTION | 10 GetLattesData-1.4.1/GetLattesData/MD5 | 36 - GetLattesData-1.4.1/GetLattesData/NAMESPACE | 5 GetLattesData-1.4.1/GetLattesData/NEWS.md | 4 GetLattesData-1.4.1/GetLattesData/R/gld_get_lattes_data.R | 2 GetLattesData-1.4.1/GetLattesData/R/gld_get_lattes_data_from_zip.R | 2 GetLattesData-1.4.1/GetLattesData/R/gld_get_papers_info.R | 2 GetLattesData-1.4.1/GetLattesData/R/gld_read_lattes_zip.R | 3 GetLattesData-1.4.1/GetLattesData/R/gld_utils.R | 20 GetLattesData-1.4.1/GetLattesData/README.md | 16 GetLattesData-1.4.1/GetLattesData/build/vignette.rds |binary GetLattesData-1.4.1/GetLattesData/inst/doc/gld_vignette-ReadLattes.Rmd | 20 GetLattesData-1.4.1/GetLattesData/inst/doc/gld_vignette-ReadLattes.html | 251 ++++++---- GetLattesData-1.4.1/GetLattesData/man/gld_get_lattes_data_from_zip.Rd | 2 GetLattesData-1.4.1/GetLattesData/tests/testthat/test_gld.R | 13 GetLattesData-1.4.1/GetLattesData/vignettes/gld_vignette-ReadLattes.Rmd | 20 GetLattesData-1.4/GetLattesData/man/gld.get.papers.info.Rd |only GetLattesData-1.4/GetLattesData/man/gld_download_lattes_files.Rd |only GetLattesData-1.4/GetLattesData/man/gld_get_SJR.Rd |only GetLattesData-1.4/GetLattesData/man/gld_get_lattes_data.Rd |only GetLattesData-1.4/GetLattesData/man/gld_get_qualis.Rd |only GetLattesData-1.4/GetLattesData/man/gld_read_zip.Rd |only 22 files changed, 213 insertions(+), 193 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-03-14 0.1.1
2020-02-28 0.1.0
Title: Unbiased Estimators for Cumulant Products and Faa Di Bruno's
Formula
Description: Tools for estimate (joint) cumulants and (joint) products of cumulants of a random sample using (multivariate) k-statistics and (multivariate) polykays, unbiased estimators with minimum variance. Tools for generating univariate and multivariate Faa di Bruno's formula and related polynomials, such as Bell polynomials, generalized complete Bell polynomials, partition polynomials and generalized partition polynomials. For more details see Di Nardo E., Guarino G., Senato D. (2009) <arXiv:0807.5008>, <arXiv:1012.6008>.
Author: Elvira Di Nardo <elvira.dinardo@unito.it>, Giuseppe Guarino <giuseppe.guarino@rete.basilicata.it>
Maintainer: Giuseppe Guarino <giuseppe.guarino@rete.basilicata.it>
Diff between kStatistics versions 2.1 dated 2021-07-06 and 2.1.1 dated 2022-06-08
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- R/e_MFB.R | 4 ++-- build/partial.rdb |binary 4 files changed, 9 insertions(+), 9 deletions(-)
Title: A Wrapper of the JavaScript Library 'jsTree'
Description: Creates interactive trees that can be included in 'Shiny' apps and R markdown documents. A tree allows to represent hierarchical data (e.g. the contents of a directory). Similar to the 'shinyTree' package but offers more features and options, such as the grid extension, restricting the drag-and-drop behavior, and settings for the search functionality. It is possible to attach some data to the nodes of a tree and then to get these data in 'Shiny' when a node is selected. Also provides a 'Shiny' gadget allowing to manipulate one or more folders, and a 'Shiny' module allowing to navigate in the server side file system.
Author: Stephane Laurent [aut, cre],
jQuery contributors [ctb, cph] ,
Ivan Bozhanov [ctb, cph] ,
Vedran Opacic [ctb, cph] ,
Avi Deitcher [ctb, cph] ,
Philip Hutchison [ctb, cph] ,
Terence Eden [ctb, cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Diff between jsTreeR versions 1.6.0 dated 2022-02-28 and 2.0.0 dated 2022-06-08
DESCRIPTION | 10 MD5 | 34 ++- NAMESPACE | 9 NEWS.md | 11 + R/jstree-shiny.R | 18 + R/jstree.R | 2 R/jstreeExamples.R | 5 R/treeNavigator.R |only README.md | 16 + inst/examples/treeNavigator |only inst/htmlwidgets/jstreer.js | 52 ++++- inst/htmlwidgets/lib/jstree/dist/jstree.js |only inst/htmlwidgets/lib/jstree/dist/jstree.min.js | 9 inst/htmlwidgets/lib/jstree/dist/themes/default-dark/style.css |only inst/htmlwidgets/lib/jstree/dist/themes/default/style.css |only inst/www |only man/jstree-shiny.Rd | 102 +++++----- man/jstreeExample.Rd | 3 man/jstreeExamples.Rd | 2 man/treeNavigator-module.Rd |only 20 files changed, 186 insertions(+), 87 deletions(-)
Title: Miscellaneous Functions 'T. Yanagida'
Description: Miscellaneous functions for descriptive statistics (e.g., frequency table, cross tabulation, multilevel descriptive statistics, multilevel R-squared measures, within-group and between-group correlation matrix, various effect size measures), data management (e.g., grand-mean and group-mean centering, recode variables and reverse code items, scale and group scores, reading and writing SPSS and Excel files), missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), item analysis (e.g., coefficient alpha and omega, confirmatory factor analysis), and statistical analysis (e.g., confidence intervals, collinearity diagnostics, analysis of variance, Levene's test, t-test, z-test, sample size determination).
Author: Takuya Yanagida [aut, cre]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>
Diff between misty versions 0.4.5 dated 2022-04-29 and 0.4.6 dated 2022-06-08
DESCRIPTION | 10 MD5 | 166 +++++---- NAMESPACE | 5 NEWS.md | 16 R/aov.b.R |only R/as.na.R | 138 +++----- R/center.R | 196 ++++------- R/chr.gsub.R | 13 R/chr.omit.R | 18 - R/chr.trim.R | 31 - R/ci.mean.R | 158 +-------- R/ci.mean.diff.R | 221 ++----------- R/ci.median.R | 106 +----- R/ci.prop.R | 120 +------ R/ci.prop.diff.R | 176 +--------- R/ci.sd.R | 113 +----- R/ci.var.R | 107 +----- R/cluster.scores.R | 61 --- R/cohens.d.R | 139 +------- R/collin.diag.R | 47 -- R/cor.cont.R | 50 --- R/cor.cramer.R | 55 --- R/cor.matrix.R | 205 ++++-------- R/cor.phi.R | 47 -- R/cor.poly.R | 85 ----- R/crosstab.R | 118 ++----- R/descript.R | 107 +----- R/df.duplicated.R | 42 -- R/df.merge.R | 54 --- R/df.rename.R | 53 --- R/df.sort.R | 24 - R/dummy.c.R | 63 --- R/eta.sq.R | 37 -- R/freq.R | 206 ++++-------- R/indirect.R | 82 ---- R/item.alpha.R | 88 +---- R/item.cfa.R | 144 +------- R/item.omega.R | 86 +---- R/item.reverse.R | 49 -- R/item.scores.R | 58 --- R/kurtosis.R | 42 -- R/multilevel.cor.R | 285 ++++++----------- R/multilevel.descript.R | 108 +----- R/multilevel.icc.R | 63 --- R/multilevel.indirect.R | 86 ----- R/multilevel.r2.R | 169 +++------- R/na.as.R | 60 --- R/na.auxiliary.R | 59 --- R/na.coverage.R | 80 +--- R/na.descript.R | 90 +---- R/na.indicator.R | 19 - R/na.pattern.R | 85 +---- R/na.prop.R | 30 - R/print.misty.object.R | 342 +++++++++++++------- R/skewness.R | 42 -- R/std.coef.R | 49 -- R/test.levene.R | 301 ++++++++++++------ R/test.t.R | 750 ++++++++++++++++++++++++++++----------------- R/test.welch.R | 543 +++++++++++++++++++++----------- R/test.z.R | 713 +++++++++++++++++++++++++++--------------- R/write.mplus.R | 41 -- R/write.result.R | 19 - R/write.sav.R | 50 --- R/write.xlsx.R | 31 - man/aov.b.Rd |only man/as.na.Rd | 11 man/center.Rd | 28 + man/cor.matrix.Rd | 7 man/crosstab.Rd | 6 man/descript.Rd | 6 man/freq.Rd | 6 man/item.alpha.Rd | 6 man/item.cfa.Rd | 5 man/item.omega.Rd | 6 man/multilevel.cor.Rd | 8 man/multilevel.descript.Rd | 9 man/na.coverage.Rd | 6 man/na.descript.Rd | 7 man/na.pattern.Rd | 7 man/print.misty.object.Rd | 17 - man/test.levene.Rd | 63 +++ man/test.t.Rd | 170 ++++++++-- man/test.welch.Rd | 128 ++++++- man/test.z.Rd | 145 ++++++++ man/write.sav.Rd | 2 85 files changed, 3514 insertions(+), 4680 deletions(-)
Title: A Small Collection of New Geometries, and Stats for 'ggplot2'
Description: A collection of new geometries and stats for
'ggplot2'. geom_pointless() adds minimal emphasis to your
plots making it easy to highlight some observations. This
layer provides additional context. Or just some visual sugar.
geom_lexis() draws a 45° lifeline of an event that mimics
lexis diagrams.
Author: Markus Doering [aut, cre]
Maintainer: Markus Doering <m4rkus.doering@gmail.com>
Diff between ggpointless versions 0.0.1 dated 2022-03-08 and 0.0.2 dated 2022-06-08
ggpointless-0.0.1/ggpointless/man/figures/README-hello_world-1.png |only ggpointless-0.0.2/ggpointless/DESCRIPTION | 25 ggpointless-0.0.2/ggpointless/MD5 | 81 + ggpointless-0.0.2/ggpointless/NAMESPACE | 10 ggpointless-0.0.2/ggpointless/NEWS.md |only ggpointless-0.0.2/ggpointless/R/aaa.R |only ggpointless-0.0.2/ggpointless/R/data.R | 37 ggpointless-0.0.2/ggpointless/R/geom-lexis.R |only ggpointless-0.0.2/ggpointless/R/geom-pointless.R | 202 ++-- ggpointless-0.0.2/ggpointless/R/ggpointless-package.R |only ggpointless-0.0.2/ggpointless/R/legend-draw.R |only ggpointless-0.0.2/ggpointless/R/stat-lexis.R |only ggpointless-0.0.2/ggpointless/R/stat-pointless.R | 99 + ggpointless-0.0.2/ggpointless/R/utils.R | 173 ++- ggpointless-0.0.2/ggpointless/README.md | 96 + ggpointless-0.0.2/ggpointless/build/vignette.rds |binary ggpointless-0.0.2/ggpointless/data/female_leaders.rda |only ggpointless-0.0.2/ggpointless/inst/doc/examples.R | 244 +++- ggpointless-0.0.2/ggpointless/inst/doc/examples.Rmd | 262 +++-- ggpointless-0.0.2/ggpointless/inst/doc/examples.html | 502 ++++++---- ggpointless-0.0.2/ggpointless/inst/doc/ggpointless.R | 130 ++ ggpointless-0.0.2/ggpointless/inst/doc/ggpointless.Rmd | 175 ++- ggpointless-0.0.2/ggpointless/inst/doc/ggpointless.html | 221 +++- ggpointless-0.0.2/ggpointless/man/co2_ml.Rd | 6 ggpointless-0.0.2/ggpointless/man/covid_vac.Rd | 5 ggpointless-0.0.2/ggpointless/man/draw_key_lexis.Rd |only ggpointless-0.0.2/ggpointless/man/female_leaders.Rd |only ggpointless-0.0.2/ggpointless/man/figures/README-geom-lexis-1.png |only ggpointless-0.0.2/ggpointless/man/figures/README-hello-world-1.png |only ggpointless-0.0.2/ggpointless/man/geom_lexis.Rd |only ggpointless-0.0.2/ggpointless/man/geom_pointless.Rd | 127 +- ggpointless-0.0.2/ggpointless/man/get_lexis.Rd |only ggpointless-0.0.2/ggpointless/man/get_locations.Rd | 7 ggpointless-0.0.2/ggpointless/man/ggpointless-ggproto.Rd |only ggpointless-0.0.2/ggpointless/man/ggpointless-package.Rd |only ggpointless-0.0.2/ggpointless/man/operator.Rd |only ggpointless-0.0.2/ggpointless/man/translate_shape_string.Rd |only ggpointless-0.0.2/ggpointless/tests/testthat/Rplots.pdf |binary ggpointless-0.0.2/ggpointless/tests/testthat/_snaps |only ggpointless-0.0.2/ggpointless/tests/testthat/test-geom-lexis.R |only ggpointless-0.0.2/ggpointless/tests/testthat/test-geom-pointless.R | 51 - ggpointless-0.0.2/ggpointless/tests/testthat/test-get_lexis.R |only ggpointless-0.0.2/ggpointless/tests/testthat/test-get_locations.R | 20 ggpointless-0.0.2/ggpointless/tests/testthat/test-legend-draw.R |only ggpointless-0.0.2/ggpointless/tests/testthat/test-operator.R |only ggpointless-0.0.2/ggpointless/tests/testthat/test-stat-lexis.R |only ggpointless-0.0.2/ggpointless/tests/testthat/test-stat-pointless.R | 26 ggpointless-0.0.2/ggpointless/tests/testthat/test-translate_shape_string.R |only ggpointless-0.0.2/ggpointless/vignettes/examples.Rmd | 262 +++-- ggpointless-0.0.2/ggpointless/vignettes/ggpointless.Rmd | 175 ++- 50 files changed, 2047 insertions(+), 889 deletions(-)
Title: Tukey Region and Median
Description: Tukey regions are polytopes in the Euclidean space, viz.
upper-level sets of the Tukey depth function on given data. The bordering
hyperplanes of a Tukey region are computed as well as its vertices, facets,
centroid, and volume. In addition, the Tukey median set, which is the
non-empty Tukey region having highest depth level, and its barycenter
(= Tukey median) are calculated. Tukey regions are visualized in dimension
two and three. For details see Liu, Mosler, and Mozharovskyi
(2019, <doi:10.1080/10618600.2018.1546595>). See file LICENSE.note for
additional license information.
Author: C.B. Barber [aut, cph] ,
The Geometry Center University of Minnesota [cph] ,
Pavlo Mozharovskyi [aut, cre]
Maintainer: Pavlo Mozharovskyi <pavlo.mozharovskyi@telecom-paris.fr>
Diff between TukeyRegion versions 0.1.4 dated 2021-01-10 and 0.1.5.5 dated 2022-06-08
DESCRIPTION | 8 - MD5 | 34 +++--- NAMESPACE | 2 R/RcppExports.R | 8 + man/TukeyKRegions.Rd |only man/TukeyRegion-package.Rd | 4 man/TukeyRegion.Rd | 6 - man/TukeyRegions.Rd |only src/Makevars | 2 src/Makevars.win | 2 src/RcppExports.cpp | 53 ++++++++++ src/TRegion.cpp | 189 ++++++++++++++++++++++++++++++++++-- src/TRegion.h | 13 +- src/TkRegions.cpp |only src/TkRegions.h |only src/TukeyRegion.cpp | 18 ++- src/TukeyRegion.h | 1 src/TukeyRegionR.cpp | 100 ++++++++++++++++++- src/common.cpp | 232 +++++++++++++++++++++++++++++++++++++++++++-- src/common.h | 4 20 files changed, 615 insertions(+), 61 deletions(-)
Title: A Framework for Data-Driven Stochastic Disease Spread
Simulations
Description: Provides an efficient and very flexible framework to
conduct data-driven epidemiological modeling in realistic large
scale disease spread simulations. The framework integrates
infection dynamics in subpopulations as continuous-time Markov
chains using the Gillespie stochastic simulation algorithm and
incorporates available data such as births, deaths and movements
as scheduled events at predefined time-points. Using C code for
the numerical solvers and 'OpenMP' (if available) to divide work
over multiple processors ensures high performance when simulating
a sample outcome. One of our design goals was to make the package
extendable and enable usage of the numerical solvers from other R
extension packages in order to facilitate complex epidemiological
research. The package contains template models and can be extended
with user-defined models. For more details see the paper by
Widgren, Bauer, Eriksson and Engblom (2019)
<doi:10.18637/jss.v091.i12>. The package also provides
functionality to fit models to time series data using the
Approximate Bayesian Computation Sequential Monte Carlo
('ABC-SMC') algorithm of Toni and others (2009)
<doi:10.1098/rsif.2008.0172>.
Author: Stefan Widgren [aut, cre] ,
Robin Eriksson [aut] ,
Stefan Engblom [aut] ,
Pavol Bauer [aut] ,
Thomas Rosendal [ctb] ,
Attractive Chaos [cph]
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>
Diff between SimInf versions 9.0.0 dated 2022-04-20 and 9.1.0 dated 2022-06-08
DESCRIPTION | 15 - MD5 | 78 ++++-- NAMESPACE | 13 + NEWS.md | 17 + R/SIR.R | 2 R/SIS.R |only R/SimInf.R | 4 R/check_arguments.R | 46 +++- R/distributions.R | 31 ++ R/pfilter.R |only R/plot.R | 2 R/run.R | 14 + R/trajectory.R | 26 ++ R/update.R |only build/partial.rdb |binary inst/doc/SimInf.pdf |binary inst/doc/scheduled-events.html | 265 +---------------------- man/SIR-class.Rd | 2 man/SIS-class.Rd |only man/SIS.Rd |only man/SimInf_pfilter-class.Rd |only man/events_SIS.Rd |only man/examples/pfilter.R |only man/logLik-SimInf_pfilter-method.Rd |only man/macros/citations.Rd | 4 man/pfilter.Rd |only man/plot-SimInf_pfilter-method.Rd |only man/run.Rd | 3 man/show-SimInf_pfilter-method.Rd |only man/summary-SimInf_pfilter-method.Rd |only man/trajectory-SimInf_pfilter-method.Rd |only man/u0_SIS.Rd |only man/update_u0.Rd |only man/update_v0.Rd |only src/Makevars.in | 1 src/Makevars.ucrt | 1 src/Makevars.win | 1 src/init.c | 8 src/misc/SimInf_abc.c | 2 src/misc/SimInf_particle_filter.c |only src/models/SIS.c |only src/solvers/SimInf_solver.c | 64 +++-- src/solvers/SimInf_solver.h | 6 src/solvers/aem/SimInf_solver_aem.c | 12 - src/solvers/ssm/SimInf_solver_ssm.c | 10 tests/SIS.R |only tests/abc.R | 359 ++++++++++++++++++++++++++++++++ tests/abc/abc-ldata.R | 24 ++ tests/distributions.R | 50 +++- tests/pfilter.R |only tests/update.R |only 51 files changed, 728 insertions(+), 332 deletions(-)
Title: SAE using HB Method under Generalized Poisson Distribution
Description: We designed this package to provide function for area level of Small Area Estimation using Hierarchical Bayesian (HB) method under Generalized Poisson Distribution. This package provides model using Univariate Generalized Poisson Distribution for variable of interest. Some datasets simulated by a data generation are also provided. The 'rjags' package is employed to obtain parameter estimates. Model-based estimators involves the HB estimators which include the mean and the variation of mean. For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Wang (2021) <doi:10.1016/j.ecoinf.2021.101301> and Ntzoufras (2009) <doi:10.1002/9780470434567>.
Author: Joice Evangelista Lase [aut, cre],
Azka Ubaidillah [aut]
Maintainer: Joice Evangelista Lase <221810359@stis.ac.id>
Diff between saeHB.gpois versions 0.1.0 dated 2022-03-11 and 0.1.1 dated 2022-06-08
saeHB.gpois-0.1.0/saeHB.gpois/vignettes/HelpFile.R |only saeHB.gpois-0.1.0/saeHB.gpois/vignettes/HelpFile.html |only saeHB.gpois-0.1.1/saeHB.gpois/DESCRIPTION | 6 ++-- saeHB.gpois-0.1.1/saeHB.gpois/MD5 | 20 +++++++--------- saeHB.gpois-0.1.1/saeHB.gpois/R/gpois.R | 5 ---- saeHB.gpois-0.1.1/saeHB.gpois/data/dataGPois.rda |binary saeHB.gpois-0.1.1/saeHB.gpois/data/dataGPoisNs.rda |binary saeHB.gpois-0.1.1/saeHB.gpois/inst/doc/saeHB_gpois.R | 6 ++++ saeHB.gpois-0.1.1/saeHB.gpois/inst/doc/saeHB_gpois.Rmd | 9 ++++++- saeHB.gpois-0.1.1/saeHB.gpois/inst/doc/saeHB_gpois.html | 4 +-- saeHB.gpois-0.1.1/saeHB.gpois/man/GPois.Rd | 2 - saeHB.gpois-0.1.1/saeHB.gpois/vignettes/saeHB_gpois.Rmd | 9 ++++++- 12 files changed, 37 insertions(+), 24 deletions(-)
Title: Data-Limited Methods Toolkit
Description: A collection of data-limited management procedures that can be evaluated
with management strategy evaluation with the 'MSEtool' package, or applied to
fishery data to provide management recommendations.
Author: Tom Carruthers [aut],
Quang Huynh [aut],
Adrian Hordyk [aut, cre],
M. Bryan [ctb],
HF. Geremont [ctb],
C. Grandin [ctb],
W. Harford [ctb],
Q. Huynh [ctb],
C. Walters [ctb]
Maintainer: Adrian Hordyk <adrian@bluematterscience.com>
Diff between DLMtool versions 6.0.4 dated 2022-04-28 and 6.0.5 dated 2022-06-08
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ NEWS.md | 5 +++++ R/MPs_SupportingFunctions.R | 20 ++++++++++---------- man/CC.Rd | 1 + man/EtargetLopt.Rd | 2 +- man/SPSRA.Rd | 2 +- 7 files changed, 27 insertions(+), 21 deletions(-)
Title: Efficient Branch and Bound Variable Selection for GLMs using
'RcppArmadillo'
Description: Performs efficient and scalable glm best
subset selection using a novel implementation of a branch and bound algorithm.
To speed up the model fitting process, a range of optimization
methods are implemented in 'RcppArmadillo'. Parallel computation
is available using 'OpenMP'.
Author: Jacob Seedorff [aut, cre]
Maintainer: Jacob Seedorff <jwseedorff@uiowa.edu>
Diff between BranchGLM versions 1.0.0 dated 2022-05-19 and 1.1.0 dated 2022-06-08
DESCRIPTION | 20 - MD5 | 66 ++--- NAMESPACE | 60 ++--- R/BranchGLM.R | 142 ++++++++---- R/BranchGLMTable.R | 9 R/RcppExports.R | 28 +- R/VariableSelection.R | 69 +++--- inst/doc/BranchGLM-Vignette.R | 30 +- inst/doc/BranchGLM-Vignette.Rmd | 42 +-- inst/doc/BranchGLM-Vignette.html | 419 ++++++++++++++++++------------------ man/BranchGLM.Rd | 217 ++++++++++--------- man/Cindex.Rd | 90 +++---- man/MultipleROCCurves.Rd | 122 +++++----- man/ROC.Rd | 70 +++--- man/Table.Rd | 82 +++---- man/VariableSelection.Rd | 282 ++++++++++++------------ man/coef.BranchGLM.Rd | 38 +-- man/logLik.BranchGLM.Rd | 42 +-- man/plot.BranchGLMROC.Rd | 50 ++-- man/predict.BranchGLM.Rd | 66 ++--- man/print.BranchGLM.Rd | 46 ++-- man/print.BranchGLMROC.Rd | 38 +-- man/print.BranchGLMTable.Rd | 42 +-- man/print.BranchGLMVS.Rd | 46 ++-- src/BranchGLMHelpers.cpp | 445 +++++++++++++++++++++++++++------------ src/BranchGLMHelpers.h | 12 - src/ParBranchGLMHelpers.cpp | 135 +++-------- src/ParBranchGLMHelpers.h | 10 src/ParVariableSelection.cpp | 404 +++++++++++++++++++++++++++-------- src/RcppExports.cpp | 151 +++++-------- src/VariableSelection.cpp | 410 ----------------------------------- tests/testthat.R | 8 tests/testthat/test-BranchGLM.R | 60 +++++ vignettes/BranchGLM-Vignette.Rmd | 42 +-- 34 files changed, 1938 insertions(+), 1855 deletions(-)
Title: Automatic Structural Time Series Models
Description: Automatic model selection for structural time series decomposition into trend, cycle, and seasonal components, plus optionality for structural interpolation, using the Kalman filter.
Koopman, Siem Jan and Marius Ooms (2012) "Forecasting Economic Time Series Using Unobserved Components Time Series Models" <doi:10.1093/oxfordhb/9780195398649.013.0006>.
Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" <doi:10.7551/mitpress/6444.001.0001><http://econ.korea.ac.kr/~cjkim/>.
Author: Alex Hubbard
Maintainer: Alex Hubbard <hubbard.alex@gmail.com>
Diff between autostsm versions 3.0.0 dated 2022-02-01 and 3.0.1 dated 2022-06-08
DESCRIPTION | 19 MD5 | 16 NEWS.md | 9 R/stsm_fixed_pars.R | 4 README.md | 25 inst/doc/autostsm_vignette.R | 5 inst/doc/autostsm_vignette.Rmd | 13 inst/doc/autostsm_vignette.html | 1637 +++++++++++++++++++++++++++------------- vignettes/autostsm_vignette.Rmd | 13 9 files changed, 1194 insertions(+), 547 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-02-02 1.0.0