Title: Collection of Datasets from the ASA 2006 Data Expo
Description: Tidied data from the ASA 2006 data
expo, as well as a number of useful other related data sets.
Author: Hadley Wickham [aut, cre]
Maintainer: Hadley Wickham <hadley@posit.co>
Diff between nasaweather versions 0.1 dated 2014-07-22 and 0.1.1 dated 2025-05-09
DESCRIPTION | 29 +++++++++++++++++------------ LICENSE |only MD5 | 24 +++++++++++++----------- NAMESPACE | 2 +- NEWS.md |only R/nasa.R | 5 ++--- R/storms.R | 6 ++++-- README.md | 5 +---- data/storms.rdata |binary man/atmos.Rd | 12 +++++++----- man/borders.Rd | 10 ++++++---- man/elev.Rd | 12 +++++++----- man/glaciers.Rd | 10 ++++++---- man/storms.Rd | 16 ++++++++++------ 14 files changed, 74 insertions(+), 57 deletions(-)
Title: 'ggplot2' Based Plots with Statistical Details
Description: Extension of 'ggplot2', 'ggstatsplot' creates graphics with
details from statistical tests included in the plots themselves. It
provides an easier syntax to generate information-rich plots for
statistical analysis of continuous (violin plots, scatterplots,
histograms, dot plots, dot-and-whisker plots) or categorical (pie and
bar charts) data. Currently, it supports the most common types of
statistical approaches and tests: parametric, nonparametric, robust,
and Bayesian versions of t-test/ANOVA, correlation analyses,
contingency table analysis, meta-analysis, and regression analyses.
References: Patil (2021) <doi:10.21105/joss.03236>.
Author: Indrajeet Patil [cre, aut, cph] ,
Chuck Powell [ctb]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>
Diff between ggstatsplot versions 0.13.0 dated 2024-12-04 and 0.13.1 dated 2025-05-09
DESCRIPTION | 34 LICENSE | 676 ---------- MD5 | 157 +- NEWS.md | 27 R/ggbarstats.R | 2 R/ggdotplotstats.R | 50 R/globals.R | 2 README.md | 6 build/partial.rdb |binary build/vignette.rds |binary inst/WORDLIST | 17 inst/doc/ggstatsplot.html | 7 man/dot-grouped_list.Rd | 2 man/extract_stats.Rd | 2 man/figures/README-ggdotplotstats1-1.png |binary man/figures/README-ggdotplotstats2-1.png |binary man/ggbarstats.Rd | 2 man/ggbetweenstats.Rd | 2 man/ggcoefstats.Rd | 2 man/ggdotplotstats.Rd | 21 man/gghistostats.Rd | 2 man/ggpiestats.Rd | 2 man/ggwithinstats.Rd | 2 man/grouped_ggbarstats.Rd | 4 man/grouped_ggbetweenstats.Rd | 2 man/grouped_ggdotplotstats.Rd | 11 man/grouped_gghistostats.Rd | 2 man/grouped_ggpiestats.Rd | 2 man/grouped_ggscatterstats.Rd | 2 man/grouped_ggwithinstats.Rd | 2 man/rmd-fragments/ggdotplotstats_graphics.Rmd | 9 tests/testthat.R | 1 tests/testthat/_snaps/ggbetweenstats/default-plot-as-expected.svg | 236 +-- tests/testthat/_snaps/ggbetweenstats/mean-shown-with-scarce-data.svg | 4 tests/testthat/_snaps/ggbetweenstats/modification-with-ggplot2-works-as-expected.svg | 14 tests/testthat/_snaps/ggbetweenstats/plot-with-outliers-as-expected.svg | 552 ++++---- tests/testthat/_snaps/ggbetweenstats/specific-geoms-removed.svg | 6 tests/testthat/_snaps/ggdotplotstats/defaults-work-as-expected.svg | 367 +++-- tests/testthat/_snaps/ggdotplotstats/further-modification-with-ggplot-works.svg | 304 ++-- tests/testthat/_snaps/ggdotplotstats/parametric-without-na.svg | 79 - tests/testthat/_snaps/ggdotplotstats/robust-with-na.svg | 96 - tests/testthat/_snaps/gghistostats/defaults-as-expected.svg | 6 tests/testthat/_snaps/ggwithinstats/centrality-path-can-be-turned-off.svg | 12 tests/testthat/_snaps/ggwithinstats/defaults-plots-more-than-two-groups.svg | 24 tests/testthat/_snaps/ggwithinstats/defaults-plots-two-groups.svg | 16 tests/testthat/_snaps/ggwithinstats/ggplot2-commands-work.svg | 2 tests/testthat/_snaps/ggwithinstats/grouped-plots-default.svg | 20 tests/testthat/_snaps/pairwise-ggsignif/adding-caption-works.svg | 14 tests/testthat/_snaps/pairwise-ggsignif/between-bayes.svg | 14 tests/testthat/_snaps/pairwise-ggsignif/between-non-parametric-all.svg | 28 tests/testthat/_snaps/pairwise-ggsignif/between-non-parametric-only-non-significant.svg | 36 tests/testthat/_snaps/pairwise-ggsignif/between-non-parametric-only-significant.svg | 28 tests/testthat/_snaps/pairwise-ggsignif/between-parametric-all.svg | 10 tests/testthat/_snaps/pairwise-ggsignif/between-parametric-only-non-significant.svg | 16 tests/testthat/_snaps/pairwise-ggsignif/between-parametric-only-significant.svg | 14 tests/testthat/_snaps/pairwise-ggsignif/between-robust-all.svg | 20 tests/testthat/_snaps/pairwise-ggsignif/between-robust-only-non-significant.svg | 18 tests/testthat/_snaps/pairwise-ggsignif/between-robust-only-significant.svg | 10 tests/testthat/_snaps/pairwise-ggsignif/within-bayes.svg | 8 tests/testthat/_snaps/pairwise-ggsignif/within-non-parametric-all.svg | 10 tests/testthat/_snaps/pairwise-ggsignif/within-non-parametric-only-non-significant.svg | 22 tests/testthat/_snaps/pairwise-ggsignif/within-non-parametric-only-significant.svg | 18 tests/testthat/_snaps/pairwise-ggsignif/within-parametric-all.svg | 12 tests/testthat/_snaps/pairwise-ggsignif/within-parametric-only-non-significant.svg | 14 tests/testthat/_snaps/pairwise-ggsignif/within-parametric-only-significant.svg | 16 tests/testthat/_snaps/pairwise-ggsignif/within-robust-all.svg | 16 tests/testthat/_snaps/pairwise-ggsignif/within-robust-only-non-significant.svg | 8 tests/testthat/_snaps/pairwise-ggsignif/within-robust-only-significant.svg | 28 tests/testthat/test-ggdotplotstats.R | 1 vignettes/web_only/faq.Rmd | 2 vignettes/web_only/ggbarstats.Rmd | 2 vignettes/web_only/ggbetweenstats.Rmd | 2 vignettes/web_only/ggcoefstats.Rmd | 2 vignettes/web_only/ggdotplotstats.Rmd | 4 vignettes/web_only/gghistostats.Rmd | 2 vignettes/web_only/ggpiestats.Rmd | 2 vignettes/web_only/ggwithinstats.Rmd | 2 vignettes/web_only/interpretation.Rmd |only vignettes/web_only/principles.Rmd | 2 vignettes/web_only/purrr_examples.Rmd | 2 80 files changed, 1385 insertions(+), 1786 deletions(-)
Title: Common S3 Generics not Provided by Base R Methods Related to
Model Fitting
Description: In order to reduce potential package dependencies and
conflicts, generics provides a number of commonly used S3 generics.
Author: Hadley Wickham [aut, cre] ,
Max Kuhn [aut],
Davis Vaughan [aut],
Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>
Diff between generics versions 0.1.3 dated 2022-07-05 and 0.1.4 dated 2025-05-09
generics-0.1.3/generics/build/generics.pdf |only generics-0.1.3/generics/tests/testthat/testGenericsExtension/R/a.r |only generics-0.1.3/generics/tests/testthat/testMultiMethod/R/a.r |only generics-0.1.3/generics/tests/testthat/testMultiPackage/R/a.r |only generics-0.1.3/generics/tests/testthat/testS4Docs/R/a.r |only generics-0.1.3/generics/tests/testthat/testSameRd/R/a.r |only generics-0.1.3/generics/tests/testthat/testSingleMethod/R/a.r |only generics-0.1.4/generics/DESCRIPTION | 27 +++++---- generics-0.1.4/generics/LICENSE | 4 - generics-0.1.4/generics/MD5 | 28 +++++----- generics-0.1.4/generics/NAMESPACE | 1 generics-0.1.4/generics/NEWS.md | 4 + generics-0.1.4/generics/R/docs.R | 1 generics-0.1.4/generics/README.md | 8 +- generics-0.1.4/generics/build/stage23.rdb |only generics-0.1.4/generics/man/generics-package.Rd | 8 +- generics-0.1.4/generics/tests/testthat/testGenericsExtension/R/a.R |only generics-0.1.4/generics/tests/testthat/testMultiMethod/R/a.R |only generics-0.1.4/generics/tests/testthat/testMultiPackage/R/a.R |only generics-0.1.4/generics/tests/testthat/testS4Docs/R/a.R |only generics-0.1.4/generics/tests/testthat/testSameRd/R/a.R |only generics-0.1.4/generics/tests/testthat/testSingleMethod/R/a.R |only 22 files changed, 45 insertions(+), 36 deletions(-)
Title: Tidy Dataframes and Expressions with Statistical Details
Description: Utilities for producing dataframes with rich details for the
most common types of statistical approaches and tests: parametric,
nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation
analyses, contingency table analyses, and meta-analyses. The functions
are pipe-friendly and provide a consistent syntax to work with tidy
data. These dataframes additionally contain expressions with
statistical details, and can be used in graphing packages. This
package also forms the statistical processing backend for
'ggstatsplot'. References: Patil (2021) <doi:10.21105/joss.03236>.
Author: Indrajeet Patil [cre, aut, cph]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>
Diff between statsExpressions versions 1.6.2 dated 2024-12-02 and 1.7.0 dated 2025-05-09
DESCRIPTION | 26 - LICENSE | 2 MD5 | 60 +- NEWS.md | 10 R/add-expression-col.R | 360 ++++++------- R/centrality-description.R | 156 +++--- R/contingency-table.R | 308 +++++------ R/corr-test.R | 116 ++-- R/long-to-wide-converter.R | 192 +++---- R/meta-analysis.R | 193 +++---- R/one-sample-test.R | 208 ++++---- R/oneway-anova.R | 576 +++++++++++----------- R/pairwise-comparisons.R | 618 ++++++++++++------------ R/tidy-model-expressions.R | 234 ++++----- R/two-sample-test.R | 274 +++++----- README.md | 1 build/vignette.rds |binary inst/WORDLIST | 1 inst/doc/statsExpressions.html | 5 inst/doc/stats_details.R | 2 inst/doc/stats_details.Rmd | 2 man/centrality_description.Rd | 2 man/meta_analysis.Rd | 17 man/oneway_anova.Rd | 4 man/pairwise_comparisons.Rd | 2 man/tidy_model_expressions.Rd | 2 man/two_sample_test.Rd | 2 tests/testthat/_snaps/centrality-description.md | 22 tests/testthat/_snaps/tidy-model-expressions.md | 12 tests/testthat/test-one-sample.R | 80 +-- vignettes/stats_details.Rmd | 2 31 files changed, 1745 insertions(+), 1744 deletions(-)
More information about statsExpressions at CRAN
Permanent link
Title: Snow Water Equivalent Modeling with the 'Delta.snow' and
'HS2SWE' Models and Empirical Regression Models
Description: Snow water equivalent is modeled with the process based
models 'delta.snow' and 'HS2SWE' and empirical regression, which use
relationships between density and diverse at-site parameters. The
methods are described in Winkler et al. (2021)
<doi:10.5194/hess-25-1165-2021>, Magnusson et al. (2025)
<doi:10.1016/j.coldregions.2025.104435>, Guyennon et al. (2019)
<doi:10.1016/j.coldregions.2019.102859>, Pistocchi (2016)
<doi:10.1016/j.ejrh.2016.03.004>, Jonas et al. (2009)
<doi:10.1016/j.jhydrol.2009.09.021> and Sturm et al. (2010)
<doi:10.1175/2010JHM1202.1>.
Author: Harald Schellander [aut, cre, cph],
Michael Winkler [ctb, cph]
Maintainer: Harald Schellander <harald.schellander@geosphere.at>
Diff between nixmass versions 1.0.2 dated 2021-03-05 and 1.3.1 dated 2025-05-09
DESCRIPTION | 47 + MD5 | 51 + NAMESPACE | 49 + NEWS | 68 ++ R/hs2swe.R |only R/nixmass.R | 518 ++++++++++++++++-- R/swe.delta.snow.R | 1341 +++++++++++++++++++++++++++++++++---------------- R/swe.gu19.R | 172 ++++-- R/swe.jo09.R | 201 +++++-- R/swe.pi16.R | 45 + R/swe.st10.R | 137 +++-- README.md |only man/hs2swe.Rd |only man/hsdata.Rd | 42 - man/nixmass.Rd | 142 +++-- man/plot.nixmass.Rd | 28 - man/summary.nixmass.Rd | 21 man/swe.delta.snow.Rd | 159 ++++- man/swe.gu19.Rd | 67 +- man/swe.jo09.Rd | 48 - man/swe.pi16.Rd | 51 + man/swe.st10.Rd | 48 - tests |only 23 files changed, 2292 insertions(+), 943 deletions(-)
Title: Tools for Outbreak Investigation/Infectious Disease Surveillance
Description: Create epicurves or epigantt charts in 'ggplot2'. Prepare
data for visualisation or other reporting for infectious disease
surveillance and outbreak investigation. Includes tidy functions to solve
date based transformations for common reporting tasks, like
(A) seasonal date alignment for respiratory disease surveillance,
(B) date-based case binning based on specified time intervals like
isoweek, epiweek, month and more, (C) automated detection and marking
of the new year based on the date/datetime axis of the 'ggplot2'.
An introduction on how to use epicurves can be found on the US CDC website
(2012, <https://www.cdc.gov/training/quicklearns/epimode/index.html>).
Author: Alexander Bartel [aut, cre]
Maintainer: Alexander Bartel <alexander.bartel@fu-berlin.de>
Diff between ggsurveillance versions 0.3.0 dated 2025-04-11 and 0.4.0 dated 2025-05-09
ggsurveillance-0.3.0/ggsurveillance/R/reexport-tidyr.R |only ggsurveillance-0.4.0/ggsurveillance/DESCRIPTION | 15 ggsurveillance-0.4.0/ggsurveillance/MD5 | 154 ++++++- ggsurveillance-0.4.0/ggsurveillance/NAMESPACE | 19 ggsurveillance-0.4.0/ggsurveillance/NEWS.md | 19 ggsurveillance-0.4.0/ggsurveillance/R/align_dates_seasonal.R | 36 + ggsurveillance-0.4.0/ggsurveillance/R/data.R | 46 ++ ggsurveillance-0.4.0/ggsurveillance/R/geom_bar_diverging.R |only ggsurveillance-0.4.0/ggsurveillance/R/geom_bar_range.R |only ggsurveillance-0.4.0/ggsurveillance/R/geom_epicurve.R | 11 ggsurveillance-0.4.0/ggsurveillance/R/geom_epigantt.R | 4 ggsurveillance-0.4.0/ggsurveillance/R/geom_vline_year.R | 33 - ggsurveillance-0.4.0/ggsurveillance/R/ggplot_theme_helpers.R | 3 ggsurveillance-0.4.0/ggsurveillance/R/label_skip.R |only ggsurveillance-0.4.0/ggsurveillance/R/reexport.R |only ggsurveillance-0.4.0/ggsurveillance/R/scale_cases_5er.R | 19 ggsurveillance-0.4.0/ggsurveillance/R/scale_continuous_diverging.R |only ggsurveillance-0.4.0/ggsurveillance/R/scale_date_limit_days.R |only ggsurveillance-0.4.0/ggsurveillance/R/stat_last_value.R |only ggsurveillance-0.4.0/ggsurveillance/R/utils.R | 4 ggsurveillance-0.4.0/ggsurveillance/README.md | 32 + ggsurveillance-0.4.0/ggsurveillance/data/population_german_states.rda |only ggsurveillance-0.4.0/ggsurveillance/inst/WORDLIST | 19 ggsurveillance-0.4.0/ggsurveillance/man/align_dates_seasonal.Rd | 2 ggsurveillance-0.4.0/ggsurveillance/man/figures/diverging_bar_chart_age_pyramid_readme.png |only ggsurveillance-0.4.0/ggsurveillance/man/geom_bar_diverging.Rd |only ggsurveillance-0.4.0/ggsurveillance/man/geom_col_range.Rd |only ggsurveillance-0.4.0/ggsurveillance/man/geom_vline_year.Rd | 208 +++++----- ggsurveillance-0.4.0/ggsurveillance/man/influenza_germany.Rd | 30 + ggsurveillance-0.4.0/ggsurveillance/man/label_date.Rd |only ggsurveillance-0.4.0/ggsurveillance/man/label_skip.Rd |only ggsurveillance-0.4.0/ggsurveillance/man/population_german_states.Rd |only ggsurveillance-0.4.0/ggsurveillance/man/scale_continuous_diverging.Rd |only ggsurveillance-0.4.0/ggsurveillance/man/stat_last_value.Rd |only ggsurveillance-0.4.0/ggsurveillance/man/theme_mod_disable_legend.Rd | 3 ggsurveillance-0.4.0/ggsurveillance/man/theme_mod_remove_minor_grid.Rd | 52 +- ggsurveillance-0.4.0/ggsurveillance/man/theme_mod_rotate_axis_labels.Rd | 94 ++-- ggsurveillance-0.4.0/ggsurveillance/man/uncount.Rd | 2 ggsurveillance-0.4.0/ggsurveillance/tests/testthat.R | 24 - ggsurveillance-0.4.0/ggsurveillance/tests/testthat/_snaps |only ggsurveillance-0.4.0/ggsurveillance/tests/testthat/setup.R |only ggsurveillance-0.4.0/ggsurveillance/tests/testthat/test-align_and_bin_dates_seasonal.R | 43 +- ggsurveillance-0.4.0/ggsurveillance/tests/testthat/test-geom_bar_diverging.R |only ggsurveillance-0.4.0/ggsurveillance/tests/testthat/test-geom_bar_range.R |only ggsurveillance-0.4.0/ggsurveillance/tests/testthat/test-geom_epicurve.R | 95 ++-- ggsurveillance-0.4.0/ggsurveillance/tests/testthat/test-geom_epigantt.R | 30 - ggsurveillance-0.4.0/ggsurveillance/tests/testthat/test-geom_vline_year.R | 141 ++++++ ggsurveillance-0.4.0/ggsurveillance/tests/testthat/test-label_skip.R |only ggsurveillance-0.4.0/ggsurveillance/tests/testthat/test-scale_discrete_reverse.R | 40 + ggsurveillance-0.4.0/ggsurveillance/tests/testthat/test-stat_last_value.R |only ggsurveillance-0.4.0/ggsurveillance/tests/testthat/test_extras.R |only 51 files changed, 813 insertions(+), 365 deletions(-)
More information about ggsurveillance at CRAN
Permanent link
Title: Generates a Fractal Image of a DNA Sequence
Description: The function takes a DNA sequence, a start point, an end point in the sequence, dot size and dot color and draws a fractal image of the sequence. The fractal starts in the center of the canvas. The image is drawn by moving base by base along the sequence and dropping a midpoint between the actual point and the corner designated by the actual base. For more details see Jeffrey (1990) <doi:10.1093/nar/18.8.2163>, Hill, Schisler, and Singh (1992) <doi:10.1007/BF00178602>, and Löchel and Heider (2021) <doi:10.1016/j.csbj.2021.11.008>.
Author: Matthew Cserhati [aut, cre]
Maintainer: Matthew Cserhati <matthew.cserhati@cui.edu>
Diff between dnafractal versions 0.0.1 dated 2025-05-07 and 0.0.2 dated 2025-05-09
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- R/coordinates2sequence.R | 4 ++-- R/dnafractal.R | 6 +++--- R/sign2base.R | 4 ++-- 5 files changed, 15 insertions(+), 15 deletions(-)
Title: Mutexes, Semaphores, and Message Queues
Description: Provides access to low-level operating system mechanisms for
performing atomic operations on shared data structures. Mutexes provide
shared and exclusive locks. Semaphores act as counters. Message queues
move text strings from one process to another. All these interprocess
communication (IPC) tools can optionally block with or without a timeout.
Implemented using the cross-platform 'boost' 'C++' library
<https://www.boost.org/doc/libs/release/libs/interprocess/>.
Author: Daniel P. Smith [aut, cre] ,
Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>
Diff between interprocess versions 1.0.0 dated 2025-05-02 and 1.1.0 dated 2025-05-09
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ NEWS.md | 5 +++++ R/uid.r | 48 +++++++++++++++++++++++++++++------------------- R/zzz.r | 2 ++ README.md | 2 +- man/uid.Rd | 25 +++++++++++++++++++++++-- 7 files changed, 69 insertions(+), 31 deletions(-)
Title: Cs-137 Conversion Model
Description: A straightforward model to estimate soil migration rates across various soil contexts.
Based on the compartmental, vertically-resolved, physically-based mass balance model of Soto and Navas (2004)
<doi:10.1016/j.jaridenv.2004.02.003> and Soto and Navas (2008) <doi:10.1016/j.radmeas.2008.02.024>.
'RadEro' provides a user-friendly interface in R, utilizing input data such as 137Cs inventories and parameters directly derived
from soil samples (e.g., fine fraction density, effective volume) to accurately capture the 137Cs distribution within the soil profile.
The model simulates annual 137Cs fallout, radioactive decay, and vertical diffusion, with the diffusion coefficient calculated
from 137Cs reference inventory profiles. Additionally, it allows users to input custom parameters as calibration coefficients.
The RadEro user manual and protocol, including detailed instructions on how to format input data and configuration files, can be found at the following link: <https://gi [...truncated...]
Author: Arturo Catala [aut, cre],
Borja Latorre [aut, ctb, cph],
Leticia Gaspar [aut],
Ana Navas [aut],
Dave Gamble [ctb]
Maintainer: Arturo Catala <radero@eead.csic.es>
Diff between RadEro versions 1.0.5 dated 2024-11-18 and 1.0.8 dated 2025-05-09
DESCRIPTION | 10 +-- MD5 | 14 ++-- R/RadEro_example.R | 4 - R/plot.R | 83 +++++++++++++++++++++++-- inst/extdata/input-config_example.js | 4 - inst/extdata/input-config_example_reference.js |only inst/extdata/input-data_example.csv | 39 ++++++----- inst/extdata/input-data_example_reference.csv |only man/RadEro_example.Rd | 2 9 files changed, 118 insertions(+), 38 deletions(-)
Title: Species Identity and Evolution in R
Description: Analysis of species limits and DNA barcoding data. Included are functions for generating important summary statistics from DNA barcode data, assessing specimen identification efficacy, testing and optimizing divergence threshold limits, assessment of diagnostic nucleotides, and calculation of the probability of reciprocal monophyly. Additionally, a sliding window function offers opportunities to analyse information across a gene, often used for marker design in degraded DNA studies. Further information on the package has been published in Brown et al (2012) <doi:10.1111/j.1755-0998.2011.03108.x>.
Author: Samuel Brown [aut],
Stephane Boyer [aut],
Marie-Caroline Lefort [aut],
Jagoba Malumbres-Olarte [aut],
Cor Vink [aut],
Rob Cruickshank [aut],
Rupert A. Collins [aut, cre, cph]
Maintainer: Rupert A. Collins <rupertcollins@gmail.com>
Diff between spider versions 1.5.0 dated 2018-02-16 and 1.5.1 dated 2025-05-09
DESCRIPTION | 26 +++++++--- LICENSE | 2 MD5 | 120 ++++++++++++++++++++++++------------------------- NEWS | 8 +++ R/bestCloseMatch.R | 6 +- R/chaoHaplo.R | 2 R/haploAccum.R | 2 R/localMinima.R | 4 - R/monophyly.R | 6 +- R/monophylyBoot.R | 6 +- R/nearNeighbour.R | 6 +- R/ordinDNA.R | 4 - R/paa.R | 2 R/plot.haploAccum.R | 2 R/plot.ordinDNA.R | 4 - R/polyBalance.R | 6 +- R/read.BOLD.R | 4 - R/read.GB.R | 6 +- R/rosenberg.R | 2 R/search.BOLD.R | 4 - R/slideAnalyses.R | 2 R/slidingWindow.R | 2 R/spider-package.R | 7 -- R/stats.BOLD.R | 4 - R/tajima.K.R | 2 R/tclust.R | 4 - R/threshID.R | 6 +- R/tree.comp.R | 8 +-- README.md | 9 ++- inst/CITATION | 24 ++++----- man/anoteropsis.Rd | 6 +- man/bestCloseMatch.Rd | 6 +- man/chaoHaplo.Rd | 2 man/dolomedes.Rd | 6 +- man/haploAccum.Rd | 2 man/heatmapSpp.Rd | 12 ++++ man/localMinima.Rd | 4 - man/monophyly.Rd | 6 +- man/monophylyBoot.Rd | 19 +++++-- man/nearNeighbour.Rd | 6 +- man/ordinDNA.Rd | 4 - man/paa.Rd | 2 man/plot.haploAccum.Rd | 20 ++++++-- man/plot.ordinDNA.Rd | 23 ++++++--- man/polyBalance.Rd | 6 +- man/read.BOLD.Rd | 4 - man/read.GB.Rd | 16 ++++-- man/rosenberg.Rd | 2 man/salticidae.Rd | 6 +- man/sarkar.Rd | 6 +- man/search.BOLD.Rd | 4 - man/slideAnalyses.Rd | 12 +++- man/slidingWindow.Rd | 2 man/spider-package.Rd | 2 man/stats.BOLD.Rd | 4 - man/tajima.K.Rd | 2 man/tclust.Rd | 4 - man/threshID.Rd | 6 +- man/titv.Rd | 2 man/tree.comp.Rd | 8 +-- man/woodmouse.Rd | 6 +- 61 files changed, 289 insertions(+), 211 deletions(-)
Title: Analyzing Students' Performance Dataset in Physics Education
Research (SPHERE) using Machine Learning (ML)
Description: A simple package facilitating ML based analysis for physics education research (PER) purposes. The implemented machine learning technique is random forest optimized by item response theory (IRT) for feature selection and genetic algorithm (GA) for hyperparameter tuning. The data analyzed here has been made available in the CRAN repository through the 'spheredata' package. The SPHERE stands for Students' Performance in Physics Education Research (PER). The students are the eleventh graders learning physics at the high school curriculum. We follow the stream of multidimensional students' assessment as probed by some research based assessments in PER. The goal is to predict the students' performance at the end of the learning process. Three learning domains are measured including conceptual understanding, scientific ability, and scientific attitude. Furthermore, demographic backgrounds and potential variables predicting students' performance on physics are also demonstrated.
Author: Purwoko Haryadi Santoso [aut, cre] ,
Edi Istiyono [ctb],
Haryanto Haryanto [ctb]
Maintainer: Purwoko Haryadi Santoso <purwokoharyadisantoso@unsulbar.ac.id>
Diff between sphereML versions 0.1.0 dated 2025-02-06 and 0.1.1 dated 2025-05-09
DESCRIPTION | 14 +++++++------- MD5 | 2 +- 2 files changed, 8 insertions(+), 8 deletions(-)
Title: Students' Performance Dataset in Physics Education Research
(SPHERE)
Description: A multidimensional dataset of students' performance assessment in high school physics. The SPHERE dataset was collected from 497 students in four public high schools specifically measuring their conceptual understanding, scientific ability, and attitude toward physics [see Santoso et al. (2024) <doi:10.17632/88d7m2fv7p.1>]. The data collection was conducted using some research based assessments established by the physics education research community. They include the Force Concept Inventory, the Force and Motion Conceptual Evaluation, the Rotational and Rolling Motion Conceptual Survey, the Fluid Mechanics Concept Inventory, the Mechanical Waves Conceptual Survey, the Thermal Concept Evaluation, the Survey of Thermodynamic Processes and First and Second Laws, the Scientific Abilities Assessment Rubrics, and the Colorado Learning Attitudes about Science Survey. Students' attributes related to gender, age, socioeconomic status, domicile, literacy, physics identity, and test results [...truncated...]
Author: Purwoko Haryadi Santoso [aut, cre] ,
Edi Istiyono [ctb],
Haryanto Haryanto [ctb]
Maintainer: Purwoko Haryadi Santoso <purwokoharyadisantoso@unsulbar.ac.id>
Diff between spheredata versions 0.1.2 dated 2024-11-18 and 0.1.3 dated 2025-05-09
DESCRIPTION | 14 +++++++------- MD5 | 2 +- 2 files changed, 8 insertions(+), 8 deletions(-)
Title: Poolability Tests in Panel Data
Description: Homogeneity tests of the coefficients in panel data. Currently,
only the Hsiao test for determining coefficient homogeneity between
the panel data individuals is implemented, as described in Hsiao
(2022), "Analysis of Panel Data" (<doi:10.1017/9781009057745>).
Author: Christos Adam [aut, cre]
Maintainer: Christos Adam <econp266@econ.soc.uoc.gr>
Diff between poobly versions 0.1.1 dated 2025-01-15 and 0.1.2 dated 2025-05-09
DESCRIPTION | 9 + MD5 | 12 +- NEWS.md | 6 + R/hsiao.R | 246 +++++++++++++++++++++++++++-------------------------- README.md | 2 build/vignette.rds |binary man/hsiao.Rd | 7 + 7 files changed, 151 insertions(+), 131 deletions(-)
Title: Easy Data Wrangling and Statistical Transformations
Description: A lightweight package to assist in key steps involved in any data
analysis workflow: (1) wrangling the raw data to get it in the needed form,
(2) applying preprocessing steps and statistical transformations, and
(3) compute statistical summaries of data properties and distributions.
It is also the data wrangling backend for packages in 'easystats' ecosystem.
References: Patil et al. (2022) <doi:10.21105/joss.04684>.
Author: Indrajeet Patil [aut] ,
Etienne Bacher [aut, cre] ,
Dominique Makowski [aut] ,
Daniel Luedecke [aut] ,
Mattan S. Ben-Shachar [aut] ,
Brenton M. Wiernik [aut] ,
Remi Theriault [ctb] ,
Thomas J. Faulkenberry [rev],
Robert Garrett [rev]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>
Diff between datawizard versions 1.0.2 dated 2025-03-24 and 1.1.0 dated 2025-05-09
DESCRIPTION | 28 LICENSE | 4 MD5 | 542 +++--- NAMESPACE | 668 ++++---- NEWS.md | 1937 ++++++++++++------------ R/adjust.R | 396 ++-- R/assign_labels.R | 308 +-- R/categorize.R | 868 +++++----- R/center.R | 610 +++---- R/contrs.R | 200 +- R/convert_na_to.R | 406 ++--- R/convert_to_na.R | 402 ++-- R/data.R | 42 R/data_addprefix.R | 124 - R/data_codebook.R | 974 ++++++------ R/data_duplicated.R | 192 +- R/data_extract.R | 292 +-- R/data_group.R | 158 - R/data_match.R | 720 ++++---- R/data_merge.R | 774 ++++----- R/data_modify.R | 399 +++- R/data_partition.R | 312 +-- R/data_peek.R | 258 +-- R/data_read.R | 764 +++++---- R/data_relocate.R | 326 ++-- R/data_remove.R | 72 R/data_rename.R | 608 +++---- R/data_replicate.R | 240 +- R/data_rescale.R | 674 ++++---- R/data_restoretype.R | 100 - R/data_reverse.R | 600 +++---- R/data_rotate.R | 178 +- R/data_seek.R | 336 ++-- R/data_select.R | 80 R/data_separate.R | 790 ++++----- R/data_summary.R | 460 ++--- R/data_tabulate.R | 1549 +++++++++---------- R/data_to_long.R | 739 ++++----- R/data_to_wide.R | 838 +++++----- R/data_unique.R | 282 +-- R/data_unite.R | 222 +- R/data_write.R | 577 +++---- R/data_xtabulate.R | 942 +++++------ R/datawizard-package.R | 42 R/demean.R | 1078 ++++++------- R/describe_distribution.R | 1225 ++++++++------- R/descriptives.R | 364 ++-- R/extract_column_names.R | 356 ++-- R/format.R | 150 + R/labels_to_levels.R | 206 +- R/makepredictcall.R | 160 - R/mean_sd.R | 150 - R/means_by_group.R | 588 +++---- R/normalize.R | 604 +++---- R/ranktransform.R | 390 ++-- R/recode_into.R | 578 +++---- R/recode_values.R | 1058 ++++++------- R/remove_empty.R | 244 +-- R/replace_nan_inf.R | 122 - R/rescale_weights.R | 802 ++++----- R/reshape_ci.R | 256 +-- R/row_count.R | 248 +-- R/row_means.R | 394 ++-- R/select_nse.R | 18 R/skewness_kurtosis.R | 902 +++++------ R/slide.R | 204 +- R/smoothness.R | 254 +-- R/standardize.R | 786 ++++----- R/standardize.models.R | 1050 ++++++------- R/text_format.R | 266 +-- R/to_factor.R | 268 +-- R/to_numeric.R | 600 +++---- R/unnormalize.R | 306 +-- R/unstandardize.R | 544 +++--- R/utils-cols.R | 178 +- R/utils-rows.R | 278 +-- R/utils.R | 582 +++---- R/utils_labels.R | 156 - R/utils_standardize_center.R | 860 +++++----- R/visualisation_recipe.R | 170 +- R/weighted_mean_median_sd_mad.R | 274 +-- R/winsorize.R | 292 +-- build/partial.rdb |binary build/vignette.rds |binary inst/CITATION | 24 inst/WORDLIST | 258 +-- inst/doc/overview_of_vignettes.R | 22 inst/doc/overview_of_vignettes.Rmd | 74 inst/doc/overview_of_vignettes.html | 566 +++---- man/adjust.Rd | 328 ++-- man/assign_labels.Rd | 296 +-- man/categorize.Rd | 528 +++--- man/center.Rd | 400 ++-- man/coef_var.Rd | 186 +- man/coerce_to_numeric.Rd | 44 man/colnames.Rd | 100 - man/contr.deviation.Rd | 210 +- man/convert_na_to.Rd | 344 ++-- man/convert_to_na.Rd | 252 +-- man/data_arrange.Rd | 70 man/data_codebook.Rd | 308 +-- man/data_duplicated.Rd | 218 +- man/data_extract.Rd | 294 +-- man/data_group.Rd | 212 +- man/data_match.Rd | 288 +-- man/data_merge.Rd | 412 ++--- man/data_modify.Rd | 338 ++-- man/data_partition.Rd | 168 +- man/data_peek.Rd | 210 +- man/data_prefix_suffix.Rd | 214 +- man/data_read.Rd | 265 +-- man/data_relocate.Rd | 310 +-- man/data_rename.Rd | 314 +-- man/data_replicate.Rd | 200 +- man/data_restoretype.Rd | 70 man/data_rotate.Rd | 136 - man/data_seek.Rd | 136 - man/data_separate.Rd | 454 ++--- man/data_summary.Rd | 134 - man/data_tabulate.Rd | 520 +++--- man/data_to_long.Rd | 486 +++--- man/data_to_wide.Rd | 448 ++--- man/data_unique.Rd | 214 +- man/data_unite.Rd | 232 +- man/datawizard-package.Rd | 102 - man/demean.Rd | 702 ++++---- man/describe_distribution.Rd | 360 ++-- man/distribution_mode.Rd | 60 man/dot-is_deprecated.Rd | 38 man/efc.Rd | 24 man/extract_column_names.Rd | 398 ++-- man/labels_to_levels.Rd | 240 +- man/makepredictcall.dw_transformer.Rd | 106 - man/mean_sd.Rd | 98 - man/means_by_group.Rd | 264 +-- man/nhanes_sample.Rd | 28 man/normalize.Rd | 372 ++-- man/ranktransform.Rd | 288 +-- man/recode_into.Rd | 252 +-- man/recode_values.Rd | 598 +++---- man/reexports.Rd | 35 man/remove_empty.Rd | 149 - man/replace_nan_inf.Rd | 64 man/rescale.Rd | 390 ++-- man/rescale_weights.Rd | 354 ++-- man/reshape_ci.Rd | 76 man/reverse.Rd | 300 +-- man/row_count.Rd | 274 +-- man/row_means.Rd | 336 ++-- man/rownames.Rd | 110 - man/skewness.Rd | 296 +-- man/slide.Rd | 288 +-- man/smoothness.Rd | 74 man/standardize.Rd | 584 +++---- man/standardize.default.Rd | 200 +- man/text_format.Rd | 162 +- man/to_factor.Rd | 268 +-- man/to_numeric.Rd | 290 +-- man/visualisation_recipe.Rd | 60 man/weighted_mean.Rd | 112 - man/winsorize.Rd | 196 +- tests/testthat.R | 8 tests/testthat/_snaps/categorize.md | 92 - tests/testthat/_snaps/contr.deviation.md | 46 tests/testthat/_snaps/data_codebook.md | 1370 ++++++++-------- tests/testthat/_snaps/data_modify.md | 195 +- tests/testthat/_snaps/data_partition.md | 272 +-- tests/testthat/_snaps/data_peek.md | 86 - tests/testthat/_snaps/data_read.md | 240 +- tests/testthat/_snaps/data_rescale.md | 86 - tests/testthat/_snaps/data_seek.md | 34 tests/testthat/_snaps/data_separate.md | 308 +-- tests/testthat/_snaps/data_summary.md | 110 - tests/testthat/_snaps/data_tabulate.md | 1204 +++++++------- tests/testthat/_snaps/data_to_factor.md | 168 +- tests/testthat/_snaps/data_to_long.md | 112 - tests/testthat/_snaps/data_to_numeric.md | 86 - tests/testthat/_snaps/demean.md | 192 +- tests/testthat/_snaps/describe_distribution.md | 149 + tests/testthat/_snaps/empty-dataframe.md | 68 tests/testthat/_snaps/means_by_group.md | 344 ++-- tests/testthat/_snaps/normalize.md | 26 tests/testthat/_snaps/print.dw_transformer.md | 256 +-- tests/testthat/_snaps/ranktransform.md | 26 tests/testthat/_snaps/rescale_weights.md | 394 ++-- tests/testthat/_snaps/reshape_ci.md | 56 tests/testthat/_snaps/skewness-kurtosis.md | 192 +- tests/testthat/_snaps/smoothness.md | 22 tests/testthat/_snaps/text_format.md | 110 - tests/testthat/_snaps/windows/means_by_group.md | 68 tests/testthat/_snaps/winsorization.md | 14 tests/testthat/helper.R | 6 tests/testthat/test-adjust.R | 82 - tests/testthat/test-assign_labels.R | 110 - tests/testthat/test-attributes-grouped-df.R | 132 - tests/testthat/test-attributes.R | 360 ++-- tests/testthat/test-categorize.R | 502 +++--- tests/testthat/test-center.R | 388 ++-- tests/testthat/test-coef_var.R | 74 tests/testthat/test-contr.deviation.R | 60 tests/testthat/test-convert_na_to.R | 872 +++++----- tests/testthat/test-convert_to_na.R | 278 +-- tests/testthat/test-data_addprefix.R | 78 tests/testthat/test-data_codebook.R | 427 ++--- tests/testthat/test-data_duplicated.R | 224 +- tests/testthat/test-data_extract.R | 320 +-- tests/testthat/test-data_group.R | 114 - tests/testthat/test-data_match.R | 694 ++++---- tests/testthat/test-data_merge.R | 570 +++---- tests/testthat/test-data_modify.R | 1497 +++++++++++------- tests/testthat/test-data_partition.R | 224 +- tests/testthat/test-data_peek.R | 70 tests/testthat/test-data_read.R | 970 ++++++------ tests/testthat/test-data_recode.R | 609 +++---- tests/testthat/test-data_relocate.R | 252 +-- tests/testthat/test-data_remove.R | 260 +-- tests/testthat/test-data_rename.R | 462 ++--- tests/testthat/test-data_reorder.R | 58 tests/testthat/test-data_replicate.R | 108 - tests/testthat/test-data_rescale.R | 348 ++-- tests/testthat/test-data_restoretype.R | 68 tests/testthat/test-data_reverse.R | 994 ++++++------ tests/testthat/test-data_rotate.R | 182 +- tests/testthat/test-data_seek.R | 164 +- tests/testthat/test-data_select.R | 866 +++++----- tests/testthat/test-data_separate.R | 668 ++++---- tests/testthat/test-data_shift.R | 75 tests/testthat/test-data_summary.R | 511 +++--- tests/testthat/test-data_tabulate.R | 970 ++++++------ tests/testthat/test-data_to_factor.R | 326 ++-- tests/testthat/test-data_to_long.R | 1017 ++++++------ tests/testthat/test-data_to_numeric.R | 444 ++--- tests/testthat/test-data_to_wide.R | 1087 ++++++------- tests/testthat/test-data_unique.R | 338 ++-- tests/testthat/test-data_unite.R | 308 +-- tests/testthat/test-data_write.R | 304 +-- tests/testthat/test-demean.R | 496 +++--- tests/testthat/test-describe_distribution.R | 700 +++++--- tests/testthat/test-distributions.R | 24 tests/testthat/test-empty-dataframe.R | 148 - tests/testthat/test-extract_column_names.R | 380 ++-- tests/testthat/test-labelled_data.R | 754 ++++----- tests/testthat/test-labels_to_levels.R | 294 +-- tests/testthat/test-makepredictcall.R | 134 - tests/testthat/test-mean_sd.R | 34 tests/testthat/test-means_by_group.R | 42 tests/testthat/test-normalize.R | 466 ++--- tests/testthat/test-print.dw_transformer.R | 14 tests/testthat/test-ranktransform.R | 284 +-- tests/testthat/test-recode_into.R | 554 +++--- tests/testthat/test-replace_nan_inf.R | 78 tests/testthat/test-rescale_weights.R | 290 +-- tests/testthat/test-reshape_ci.R | 54 tests/testthat/test-row_count.R | 114 - tests/testthat/test-row_means.R | 68 tests/testthat/test-select_nse.R | 322 +-- tests/testthat/test-skewness-kurtosis.R | 156 - tests/testthat/test-smoothness.R | 58 tests/testthat/test-standardize-data.R | 700 ++++---- tests/testthat/test-standardize_datagrid.R | 30 tests/testthat/test-standardize_models.R | 677 ++++---- tests/testthat/test-std_center.R | 292 +-- tests/testthat/test-std_center_scale_args.R | 94 - tests/testthat/test-text_format.R | 166 +- tests/testthat/test-unnormalize.R | 262 +-- tests/testthat/test-utils.R | 92 - tests/testthat/test-utils_cols.R | 232 +- tests/testthat/test-utils_rows.R | 434 ++--- tests/testthat/test-weighted-stats.R | 86 - tests/testthat/test-winsorization.R | 92 - vignettes/bibliography.bib | 358 ++-- vignettes/overview_of_vignettes.Rmd | 74 272 files changed, 46012 insertions(+), 44671 deletions(-)
Title: Simple and Fast ROC Curves
Description: A set of functions for receiver operating characteristic (ROC) curve
estimation and area under the curve (AUC) calculation.
All functions are designed to work with aggregated data;
nevertheless, they can also handle raw samples.
In 'ROCket', we distinguish two types of ROC curve representations:
1) parametric curves - the true positive rate (TPR) and the false positive rate (FPR)
are functions of a parameter (the score),
2) functions - TPR is a function of FPR.
There are several ROC curve estimation methods available. An introduction to
the mathematical background of the implemented methods (and much more) can be found in
de Zea Bermudez, Gonçalves, Oliveira & Subtil (2014) and Cai & Pepe (2004).
Author: Daniel Lazar [aut, cre]
Maintainer: Daniel Lazar <da-zar@gmx.net>
Diff between ROCket versions 1.0.1 dated 2021-02-17 and 1.0.3 dated 2025-05-09
DESCRIPTION | 16 +++++++--------- MD5 | 25 ++++++++++++++----------- NAMESPACE | 1 + R/generics.R | 2 +- R/mwu.R |only R/rkt_roc.R | 2 +- R/roc_methods.R | 2 +- README.md | 16 ++++++++-------- man/figures/README-unnamed-chunk-4-1.png |binary man/figures/README-unnamed-chunk-7-1.png |binary man/mwu.test.Rd |only man/rkt_roc.Rd | 2 +- man/show_methods.Rd | 2 +- man/variance.Rd | 2 +- tests/testthat/test-mwu.R |only 15 files changed, 36 insertions(+), 34 deletions(-)
Title: Metabolomics Data Analysis Functions
Description: A collection of functions for processing and analyzing metabolite data.
The namesake function mrbin() converts 1D
or 2D Nuclear Magnetic Resonance data into a matrix of values suitable for further data analysis and
performs basic processing steps in a reproducible way. Negative values, a
common issue in such data, can be replaced by positive values (<doi:10.1021/acs.jproteome.0c00684>). All used
parameters are stored in a readable text file and can be restored from that
file to enable exact reproduction of the data at a later time. The function fia() ranks features according
to their impact on classifier models, especially artificial neural network models.
Author: Matthias Klein [aut, cre]
Maintainer: Matthias Klein <matthias.s.klein@gmx.net>
Diff between mrbin versions 1.9.0 dated 2025-03-07 and 1.9.1 dated 2025-05-09
DESCRIPTION | 9 MD5 | 30 - NEWS.md | 7 R/mrbin.R | 790 +++++++++++++++++--------------------------- inst/doc/mrbin.Rnw | 2 inst/doc/mrbin.pdf |binary inst/extdata/data/milk.csv | 34 - inst/extdata/data/serum.csv | 34 - inst/extdata/data/urine.csv | 34 - man/annotatemrbin.Rd | 13 man/editmetabolitesmrbin.Rd | 2 man/mrplot.Rd | 26 + man/plotMultiNMR.Rd | 6 man/plotNMR.Rd | 6 man/printParameters.Rd | 7 vignettes/mrbin.Rnw | 2 16 files changed, 440 insertions(+), 562 deletions(-)
Title: Read Data from 'LimeSurvey'
Description: Read data from 'LimeSurvey'
(<https://www.limesurvey.org/>)
in a comfortable way.
Heavily inspired by 'limer'
(<https://github.com/cloudyr/limer/>),
which lacked a few comfort features for me.
Author: Maximilian Hagspiel [aut, cre, cph]
Maintainer: Maximilian Hagspiel <maxhag@mailbox.org>
Diff between ipanema versions 1.1.0 dated 2024-03-01 and 1.2.0 dated 2025-05-09
DESCRIPTION | 8 ++++---- MD5 | 32 ++++++++++++++++---------------- R/connect_to_limesurvey.R | 4 ++++ R/fix_column_data_types.R | 8 ++++---- R/get_answer_options.R | 9 +++++---- R/get_question_text.R | 7 ++++--- R/get_sql_varname.R | 1 + R/get_survey_data.R | 1 + R/get_survey_id.R | 3 ++- R/wipe_survey_data.R | 3 ++- man/connect_to_limesurvey.Rd | 4 ++++ man/get_answer_options.Rd | 1 + man/get_question_text.Rd | 1 + man/get_sql_varname.Rd | 1 + man/get_survey_data.Rd | 1 + man/get_survey_id.Rd | 1 + man/wipe_survey_data.Rd | 1 + 17 files changed, 53 insertions(+), 33 deletions(-)
Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models
implemented in package 'mlt' (<DOI:10.32614/CRAN.package.mlt>, <DOI:10.32614/CRAN.package.mlt.docreg>).
Available models include Cox models, some parametric
survival models (Weibull, etc.), models for ordered categorical variables,
normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression
(Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory
is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to
transformation models for clustered data is provided (Barbanti and Hothorn, 2022,
<DOI:10.1093/biostatistics/kxac048>). Multivariate conditional transformation models
(Klein et al, 2022, <DOI:10.1111/sjos.12501>) and shift-scale transformation models (Siegfried et al, 2023,
<DOI:10.1080/00031305.2023.2203177>) can be fitted as well. The package contains an implementation of
a doubly robust score test, [...truncated...]
Author: Torsten Hothorn [aut, cre] ,
Luisa Barbanti [aut] ,
Sandra Siegfried [aut] ,
Lucas Kook [aut] ,
Brian Ripley [ctb],
Bill Venables [ctb],
Douglas M. Bates [ctb],
Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between tram versions 1.2-1 dated 2025-02-25 and 1.2-2 dated 2025-05-09
DESCRIPTION | 17 ++-- MD5 | 34 ++++++--- R/internal.R | 6 - R/methods.R | 6 - R/mmlt.R | 2 R/models.R | 2 R/plot.R | 10 +- build/partial.rdb |binary build/vignette.rds |binary demo/NAMI.Rout.save |only demo/SCI_ePolr.Rout.save |only demo/hcc.Rout.save |only demo/mtram.Rout.save |only demo/npb.Rout.save |only demo/npn.Rout.save |only demo/stram.Rout.save |only demo/survtram.R | 153 ++++++++++++++++++++++++++++-------------- demo/survtram.Rout.save |only demo/tram.Rout.save |only demo/undernutrition.Rout.save |only inst/NEWS.Rd | 11 ++- inst/doc/mtram.pdf |binary inst/doc/tram.pdf |binary 23 files changed, 157 insertions(+), 84 deletions(-)
Title: Spectrally Deconfounded Models
Description: Screen for and analyze non-linear sparse direct effects in the presence of unobserved confounding using the spectral deconfounding techniques (Ćevid, Bühlmann, and Meinshausen (2020)<jmlr.org/papers/v21/19-545.html>, Guo, Ćevid, and Bühlmann (2022) <doi:10.1214/21-AOS2152>). These methods have been shown to be a good estimate for the true direct effect if we observe many covariates, e.g., high-dimensional settings, and we have fairly dense confounding. Even if the assumptions are violated, it seems like there is not much to lose, and the deconfounded models will, in general, estimate a function closer to the true one than classical least squares optimization. 'SDModels' provides functions SDAM() for Spectrally Deconfounded Additive Models (Scheidegger, Guo, and Bühlmann (2025) <doi:10.1145/3711116>) and SDForest() for Spectrally Deconfounded Random Forests (Ulmer, Scheidegger, and Bühlmann (2025) <doi:10.48550/arXiv.2502.03969>).
Author: Markus Ulmer [aut, cre, cph] ,
Cyrill Scheidegger [aut]
Maintainer: Markus Ulmer <markus.ulmer@stat.math.ethz.ch>
Diff between SDModels versions 1.0.7 dated 2025-04-09 and 1.0.10 dated 2025-05-09
DESCRIPTION | 12 +++-- MD5 | 41 +++++++++--------- NEWS.md | 15 ++++++ R/SDAM.R | 54 +++++++++++++++++++---- R/SDForest.R | 70 +++++++++++++++++++++++-------- R/SDTree.R | 36 ++++++++++++++- R/paths.R | 9 ++- R/predict.R | 43 +++++++++---------- R/prune.R | 2 R/varImp.R | 2 README.md | 4 - build/partial.rdb |binary build/vignette.rds |binary inst/REFERENCES.bib | 7 +++ inst/doc/Runtime.html | 7 +-- man/SDAM.Rd | 18 ++++++- man/SDForest.Rd | 12 ++++- man/SDTree.Rd | 12 ++++- man/predict_individual_fj.Rd | 7 +-- tests/testthat/test-PredictorSelection.R |only tests/testthat/test-SDAM.R | 17 ++++--- tests/testthat/test-regularizationSDAM.R |only tests/testthat/test_OneForest.R |only 23 files changed, 263 insertions(+), 105 deletions(-)
Title: Gaussian Linear Models with Linear Covariance Structure
Description: Functions to fit Gaussian linear model by maximising the
residual log likelihood where the covariance structure can be
written as a linear combination of known matrices. Can be used
for multivariate models and random effects models. Easy
straight forward manner to specify random effects models,
including random interactions. Code now optimised to use
Sherman Morrison Woodbury identities for matrix inversion in
random effects models. We've added the ability to fit models
using any kernel as well as a function to return the mean and
covariance of random effects conditional on the data (best
linear unbiased predictors, BLUPs).
Clifford and McCullagh (2006)
<https://www.r-project.org/doc/Rnews/Rnews_2006-2.pdf>.
Author: David Clifford [aut],
Peter McCullagh [aut],
HJ Auinger [ctb],
Karl W Broman [ctb, cre]
Maintainer: Karl W Broman <broman@wisc.edu>
Diff between regress versions 1.3-21 dated 2020-06-18 and 1.3-22 dated 2025-05-09
DESCRIPTION | 11 +++++----- MD5 | 6 ++--- README.md | 7 ++---- inst/CITATION | 59 ++++++++++++++++++++++++++++------------------------------ 4 files changed, 41 insertions(+), 42 deletions(-)
Title: R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides
many desirable features. This package bundles these header files for easy use by R packages
from both their R and C or C++ code. Explicit use via 'LinkingTo:' is also supported. Also
see the 'spdl' package which enhanced this package with a consistent R and C++ interface.
Author: Dirk Eddelbuettel [aut, cre] ,
Gabi Melman [aut] ,
Victor Zverovic [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RcppSpdlog versions 0.0.21 dated 2025-03-30 and 0.0.22 dated 2025-05-09
ChangeLog | 9 DESCRIPTION | 11 MD5 | 70 +-- build/partial.rdb |binary build/vignette.rds |binary inst/NEWS.Rd | 6 inst/include/spdlog/async.h | 3 inst/include/spdlog/async_logger-inl.h | 4 inst/include/spdlog/common.h | 2 inst/include/spdlog/details/os-inl.h | 21 - inst/include/spdlog/details/registry-inl.h | 11 inst/include/spdlog/details/registry.h | 2 inst/include/spdlog/details/thread_pool-inl.h | 3 inst/include/spdlog/fmt/bin_to_hex.h | 4 inst/include/spdlog/fmt/bundled/base.h | 97 +++-- inst/include/spdlog/fmt/bundled/chrono.h | 406 ++++++++++----------- inst/include/spdlog/fmt/bundled/color.h | 207 ++++++---- inst/include/spdlog/fmt/bundled/fmt.license.rst | 2 inst/include/spdlog/fmt/bundled/format-inl.h | 7 inst/include/spdlog/fmt/bundled/format.h | 16 inst/include/spdlog/fmt/bundled/ostream.h | 3 inst/include/spdlog/fmt/bundled/ranges.h | 8 inst/include/spdlog/fmt/bundled/std.h | 50 +- inst/include/spdlog/fmt/bundled/xchar.h | 14 inst/include/spdlog/fmt/fmt.h | 4 inst/include/spdlog/mdc.h | 8 inst/include/spdlog/sinks/ansicolor_sink-inl.h | 3 inst/include/spdlog/sinks/callback_sink.h | 2 inst/include/spdlog/sinks/dup_filter_sink.h | 11 inst/include/spdlog/sinks/rotating_file_sink-inl.h | 39 +- inst/include/spdlog/sinks/rotating_file_sink.h | 33 - inst/include/spdlog/sinks/wincolor_sink-inl.h | 4 inst/include/spdlog/spdlog-inl.h | 4 inst/include/spdlog/spdlog.h | 21 - inst/include/spdlog/tweakme.h | 4 inst/include/spdlog/version.h | 2 36 files changed, 600 insertions(+), 491 deletions(-)
Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation
models via the most likely transformation approach described in
Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020)
<DOI:10.18637/jss.v092.i01>. Shift-scale (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>)
and multivariate (Klein et al, 2022, <DOI:10.1111/sjos.12501>) transformation models
are part of this package. A package vignette is available from <DOI:10.32614/CRAN.package.mlt.docreg> and
more convenient user interfaces to many models from <DOI:10.32614/CRAN.package.tram>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between mlt versions 1.6-4 dated 2025-04-29 and 1.6-5 dated 2025-05-09
DESCRIPTION | 11 ++++++----- MD5 | 28 ++++++++++++++-------------- R/R.R | 10 +++++----- R/confband.R | 2 +- R/dpq_etc.R | 2 +- R/loglik.R | 6 +++--- R/methods.R | 2 +- R/mlt.R | 22 +++++++++++----------- R/mltoptim.R | 4 ++-- R/mmlt.R | 16 +++++++++------- R/plot.R | 8 ++++---- R/sample.R | 2 +- R/utils.R | 9 --------- build/partial.rdb |binary inst/NEWS.Rd | 9 +++++++++ 15 files changed, 67 insertions(+), 64 deletions(-)
Title: Infrastructure for Computing with Basis Functions
Description: Some very simple infrastructure for basis functions.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between basefun versions 1.2-2 dated 2025-01-29 and 1.2-3 dated 2025-05-09
DESCRIPTION | 11 ++++++----- MD5 | 22 +++++++++++----------- R/Bernstein.R | 26 +++++++++++++------------- R/box_bases.R | 2 +- R/cbind_bases.R | 2 +- R/factor.R | 2 +- R/formula.R | 2 +- R/kronecker.R | 4 ++-- R/polynomial.R | 2 +- R/utils.R | 20 ++++++++++---------- build/partial.rdb |binary inst/NEWS.Rd | 6 ++++++ 12 files changed, 53 insertions(+), 46 deletions(-)
Title: Variable Descriptions
Description: Abstract descriptions of (yet) unobserved variables.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between variables versions 1.1-1 dated 2021-06-17 and 1.1-2 dated 2025-05-09
DESCRIPTION | 11 ++++++----- MD5 | 6 +++--- R/variables.R | 3 +++ inst/NEWS.Rd | 6 ++++++ 4 files changed, 18 insertions(+), 8 deletions(-)
Title: Social Representation Theory Application: The Free Evocation of
Words Technique
Description: Using The Free Evocation of Words Technique method with some functions, this package will make a
social representation and other analysis. The Free Evocation of Words Technique consists of collecting a number of words evoked by a subject facing exposure to an inducer term. The purpose of this technique is to understand the relationships created between words evoked by the individual and the inducer term. This technique is included in the theory of social representations, therefore, on the information transmitted by an individual, seeks to create a profile that define a social group.
Author: Gabriel Henrique Oliveira Assuncao [aut, cre]
Maintainer: Gabriel Henrique Oliveira Assuncao <gabrielhenryoliver@hotmail.com>
Diff between TELP versions 1.0.2 dated 2023-08-31 and 1.0.3 dated 2025-05-09
TELP-1.0.2/TELP/data/statistics.txt.gz |only TELP-1.0.3/TELP/DESCRIPTION | 14 +++++++++----- TELP-1.0.3/TELP/MD5 | 4 ++-- TELP-1.0.3/TELP/data/statistics.txt |only 4 files changed, 11 insertions(+), 7 deletions(-)
Title: Statistical Inference for Partially Observed Markov Processes
Description: Tools for data analysis with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.
Author: Aaron A. King [aut, cre] ,
Edward L. Ionides [aut] ,
Carles Breto [aut] ,
Stephen P. Ellner [ctb] ,
Matthew J. Ferrari [ctb] ,
Sebastian Funk [ctb] ,
Steven G. Johnson [ctb],
Bruce E. Kendall [ctb] ,
Michael Lavine [ctb],
Dao Nguyen [ctb] ,
Eamon B. [...truncated...]
Maintainer: Aaron A. King <kingaa@umich.edu>
Diff between pomp versions 6.2 dated 2025-04-16 and 6.3 dated 2025-05-09
DESCRIPTION | 34 +++++++++++++++++++--------------- MD5 | 38 +++++++++++++++++++------------------- R/gompertz.R | 5 +++-- R/ou2.R | 11 ++++++----- R/rw2.R | 18 ++++++++++++------ R/verhulst.R | 10 +++++----- README.md | 2 ++ build/partial.rdb |binary data/LondonYorke.rda |binary data/bsflu.rda |binary data/ebolaWA2014.rda |binary data/ewcitmeas.rda |binary data/ewmeas.rda |binary inst/CITATION | 3 ++- inst/NEWS | 5 +++++ inst/NEWS.Rd | 5 +++++ man/gompertz.Rd | 5 ++++- man/ou2.Rd | 5 ++++- man/rw2.Rd | 13 ++++++++++++- man/verhulst.Rd | 12 +++++++++++- 20 files changed, 109 insertions(+), 57 deletions(-)
More information about pkgdown.offline at CRAN
Permanent link
Title: Inference for Panel Partially Observed Markov Processes
Description: Data analysis based on panel partially-observed Markov process (PanelPOMP) models. To implement such models, simulate them and fit them to panel data, 'panelPomp' extends some of the facilities provided for time series data by the 'pomp' package. Implemented methods include filtering (panel particle filtering) and maximum likelihood estimation (Panel Iterated Filtering) as proposed in Breto, Ionides and King (2020) "Panel Data Analysis via Mechanistic Models" <doi:10.1080/01621459.2019.1604367>.
Author: Carles Breto [aut] ,
Edward L. Ionides [aut] ,
Aaron A. King [aut] ,
Jesse Wheeler [aut, cre] ,
Aaron Abkemeier [ctb]
Maintainer: Jesse Wheeler <jeswheel@umich.edu>
Diff between panelPomp versions 1.6.0.0 dated 2025-04-03 and 1.7.0.0 dated 2025-05-09
DESCRIPTION | 16 +++++++++------- MD5 | 20 ++++++++++---------- R/plot.R | 31 +++++++++++++++++++++++++------ build/partial.rdb |binary build/vignette.rds |binary inst/NEWS | 18 ++++++++++++++++++ inst/NEWS.Rd | 22 +++++++++++++++++++++- inst/doc/getting-started.R | 4 ++++ man/plot.Rd | 3 +++ tests/plot.R | 22 ++++++++++++++++++++++ tests/plot.Rout.save | 29 +++++++++++++++++++++++++++-- 11 files changed, 139 insertions(+), 26 deletions(-)
Title: Network Structural Equation Modeling
Description: Several methods have been developed to integrate structural equation modeling techniques with network data analysis to examine the relationship between network and non-network data. Both node-based and edge-based information can be extracted from the network data to be used as observed variables in structural equation modeling. To facilitate the application of these methods, model specification can be performed in the familiar syntax of the 'lavaan' package, ensuring ease of use for researchers. Technical details and examples can be found at <https://bigsem.psychstat.org>.
Author: Zhiyong Zhang [aut, cre] ,
Ziqian Xu [aut]
Maintainer: Zhiyong Zhang <johnnyzhz@gmail.com>
Diff between networksem versions 0.3 dated 2025-03-20 and 0.4 dated 2025-05-09
DESCRIPTION | 9 +++++---- MD5 | 12 ++++++------ R/friend_data.R | 9 ++++----- R/networkFun_edge_LSM.R | 2 ++ data/friend_data.rda |binary man/friend_data.Rd | 9 ++++----- man/sem.net.edge.lsm.Rd | 2 ++ 7 files changed, 23 insertions(+), 20 deletions(-)
Title: Goodness-of-Fit Tests for Copulae
Description: Several Goodness-of-Fit (GoF) tests for Copulae are provided. A new hybrid test, Zhang et al. (2016) <doi:10.1016/j.jeconom.2016.02.017> is implemented which supports all of the individual tests in the package, e.g. Genest et al. (2009) <doi:10.1016/j.insmatheco.2007.10.005>. Estimation methods for the margins are provided and all the tests support parameter estimation and predefined values. The parameters are estimated by pseudo maximum likelihood but if it fails the estimation switches automatically to inversion of Kendall's tau. For reproducibility of results, the functions support the definition of seeds. Also all the tests support automatized parallelization of the bootstrapping tasks. The package provides an interface to perform new GoF tests by submitting the test statistic.
Author: Simon Trimborn [aut, cre],
Ostap Okhrin [aut],
Martin Waltz [aut]
Maintainer: Simon Trimborn <trimborn.econometrics@gmail.com>
Diff between gofCopula versions 0.4-1 dated 2021-04-22 and 0.4-2 dated 2025-05-09
DESCRIPTION | 30 ++++++++++++++------- MD5 | 59 +++++++++++++++++++++--------------------- R/class_gofCOP_plot.R | 8 ++--- R/internal_bootstrap.R | 20 +++++++------- R/internal_est_margin_param.R | 2 - R/internal_est_time.R | 7 +++- R/internal_param_est.R | 2 - R/tests_ArchmChisq.R | 2 - R/tests_ArchmGamma.R | 2 - R/tests_ArchmSnB.R | 2 - R/tests_ArchmSnC.R | 2 - R/tests_KS.R | 2 - R/tests_RosenblattChisq.R | 2 - R/tests_RosenblattGamma.R | 2 - R/tests_RosenblattSnB.R | 2 - R/tests_RosenblattSnC.R | 2 - R/tests_gof.R | 2 - R/tests_gofCvM.R | 2 - build/partial.rdb |binary man/gofArchmChisq.Rd | 2 - man/gofArchmGamma.Rd | 2 - man/gofArchmSnB.Rd | 2 - man/gofArchmSnC.Rd | 2 - man/gofCvM.Rd | 2 - man/gofKS.Rd | 2 - man/gofRosenblattChisq.Rd | 2 - man/gofRosenblattGamma.Rd | 2 - man/gofRosenblattSnB.Rd | 2 - man/gofRosenblattSnC.Rd | 2 - man/plot.gofCOP.Rd | 8 ++--- man/print.goftime.Rd |only 31 files changed, 97 insertions(+), 81 deletions(-)
Title: Wearable Accelerometer Data File Readers
Description: Reads data collected from wearable acceleratometers as used in sleep and physical activity research. Currently supports file formats: binary data from 'GENEActiv' <https://activinsights.com/>, .bin-format from GENEA devices (not for sale), and .cwa-format from 'Axivity' <https://axivity.com>. Further, it has functions for reading text files with epoch level aggregates from 'Actical', 'Fitbit', 'Actiwatch', 'ActiGraph', and 'PhilipsHealthBand'. Primarily designed to complement R package GGIR <https://CRAN.R-project.org/package=GGIR>.
Author: Vincent T van Hees [aut, cre],
Patrick Bos [aut] ,
Lena Kushleyeva [ctb],
Jing Hua Zhao [ctb],
Evgeny Mirkes [ctb],
Dan Jackson [ctb],
Jairo H Migueles [ctb],
Medical Research Council UK [cph, fnd],
Accelting [cph, fnd]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>
Diff between GGIRread versions 1.0.4 dated 2025-03-31 and 1.0.5 dated 2025-05-09
DESCRIPTION | 10 +++++----- MD5 | 15 ++++++++------- NEWS.md | 6 ++++++ R/getExtension.R | 2 +- R/mergeFitbitData.R | 28 ++++++++++++++++++++++++++-- R/readFitbit.R | 9 +++++++++ inst/testfiles/heart_rate-1995-06-24.json |only man/GGIRread-package.Rd | 4 ++-- tests/testthat/test_mergeFitbitData.R | 15 +++++++++++++-- 9 files changed, 70 insertions(+), 19 deletions(-)
More information about MazamaRollUtils at CRAN
Permanent link
Title: Prioritize and Delete Erroneous Taxa in a Large Phylogenetic
Tree
Description: Finds, prioritizes and deletes erroneous taxa in a phylogenetic tree. This package calculates scores for taxa in a tree. Higher score means the taxon is more erroneous. If the score is zero for a taxon, the taxon is not erroneous. This package also can remove all erroneous taxa automatically by iterating score calculation and pruning taxa with the highest score.
Author: Satoshi Aoki [aut, cph, cre],
Keita Fukasawa [ctb]
Maintainer: Satoshi Aoki <aokis1ll1@gmail.com>
Diff between Apoderoides versions 3.0.0 dated 2024-07-10 and 3.0.1 dated 2025-05-09
DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ NEWS | 3 +++ build/vignette.rds |binary inst/doc/vignette.R | 26 +++++++++++++------------- inst/doc/vignette.html | 26 +++++++++++++------------- src/source.cpp | 18 +++++------------- 7 files changed, 44 insertions(+), 49 deletions(-)
Title: Trajectories and Phylogenies Simulator
Description: Generates stochastic time series and genealogies associated with a population dynamics model. Times series are simulated using the Gillespie exact and approximate algorithms and a new algorithm we introduce that uses both approaches to optimize the time execution of the simulations. Genealogies are simulated from a trajectory using a backwards-in-time based approach. Methods are described in Danesh G et al (2022) <doi:10.1111/2041-210X.14038>.
Author: Gonche Danesh [aut, cre, cph],
Emma Saulnier [aut, cph],
Olivier Gascuel [aut, cph],
Marc Choisy [aut, cph, ths],
Samuel Alizon [aut, cph, ths]
Maintainer: Gonche Danesh <gonche.danesh@gmail.com>
Diff between TiPS versions 1.2.3 dated 2023-05-23 and 1.3.0 dated 2025-05-09
TiPS-1.2.3/TiPS/vignettes/TiPS_cache/html/setup_592198ea7e96790bbe2a906c741a07ca.RData |only TiPS-1.2.3/TiPS/vignettes/TiPS_cache/html/setup_592198ea7e96790bbe2a906c741a07ca.rdb |only TiPS-1.2.3/TiPS/vignettes/TiPS_cache/html/setup_592198ea7e96790bbe2a906c741a07ca.rdx |only TiPS-1.2.3/TiPS/vignettes/TiPS_cache/html/unnamed-chunk-10_709b4eb17b410fb695d39a0662c8cb6a.RData |only TiPS-1.2.3/TiPS/vignettes/TiPS_cache/html/unnamed-chunk-10_709b4eb17b410fb695d39a0662c8cb6a.rdb |only TiPS-1.2.3/TiPS/vignettes/TiPS_cache/html/unnamed-chunk-10_709b4eb17b410fb695d39a0662c8cb6a.rdx |only TiPS-1.2.3/TiPS/vignettes/TiPS_cache/html/unnamed-chunk-11_8495674433515c6f3816a1468e6a48d9.RData |only TiPS-1.2.3/TiPS/vignettes/TiPS_cache/html/unnamed-chunk-11_8495674433515c6f3816a1468e6a48d9.rdb |only TiPS-1.2.3/TiPS/vignettes/TiPS_cache/html/unnamed-chunk-11_8495674433515c6f3816a1468e6a48d9.rdx |only TiPS-1.2.3/TiPS/vignettes/TiPS_cache/html/unnamed-chunk-12_8e619ae39131f7c741fb4363c6b5f0e6.RData |only 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Title: Double Constrained Correspondence Analysis for Trait-Environment
Analysis in Ecology
Description: Double constrained correspondence analysis (dc-CA) analyzes
(multi-)trait (multi-)environment ecological data by using the 'vegan'
package and native R code. Throughout the two step algorithm of ter Braak
et al. (2018) is used. This algorithm combines and extends community-
(sample-) and species-level analyses, i.e. the usual community weighted
means (CWM)-based regression analysis and the species-level analysis of
species-niche centroids (SNC)-based regression analysis. The two steps use
canonical correspondence analysis to regress the abundance data on to the
traits and (weighted) redundancy analysis to regress the CWM of the
orthonormalized traits on to the environmental predictors. The function
dc_CA() has an option to divide the abundance data of a site by the site
total, giving equal site weights. This division has the advantage that the
multivariate analysis corresponds with an unweighted (multi-trait)
community-level analysis, instead of being weighted. The first step of
the al [...truncated...]
Author: Cajo J.F ter Braak [aut] ,
Bart-Jan van Rossum [aut, cre]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>
Diff between douconca versions 1.2.2 dated 2024-12-02 and 1.2.3 dated 2025-05-09
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douconca-1.2.3/douconca/vignettes/dcCAbibliography.bib | 13 douconca-1.2.3/douconca/vignettes/douconca.Rmd | 47 - 129 files changed, 1424 insertions(+), 925 deletions(-)
Title: Spatial Data Analysis
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started. 'terra' replaces the 'raster' package ('terra' can do more, and it is faster and easier to use).
Author: Robert J. Hijmans [cre, aut] ,
Marcia Barbosa [ctb],
Roger Bivand [ctb] ,
Andrew Brown [ctb],
Michael Chirico [ctb],
Emanuele Cordano [ctb] ,
Krzysztof Dyba [ctb] ,
Edzer Pebesma [ctb] ,
Barry Rowlingson [ctb],
Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>
Diff between terra versions 1.8-42 dated 2025-04-02 and 1.8-50 dated 2025-05-09
DESCRIPTION | 21 +++--- MD5 | 125 +++++++++++++++++++------------------- NAMESPACE | 2 NEWS.md | 33 +++++++++- R/RcppExports.R | 8 ++ R/SpatRasterDataset.R | 8 +- R/distance.R | 2 R/extract.R | 50 +++++++++------ R/geom.R | 3 R/init.R | 5 + R/plot.R | 6 + R/plot_axes.R | 14 ++-- R/plot_legend_classes.R | 67 ++++++++++++++------ R/plot_legend_continuous.R | 101 +++++++++++++++++++++---------- R/plot_let.R | 135 +++++++++++++++++++++++++++++++++--------- R/plot_raster.R | 2 R/plot_vector.R | 15 ++-- R/predict.R | 45 +++++++++----- R/rast.R | 23 ++----- R/relate.R | 2 R/sample.R | 66 +++++++++++++++++++- R/tags.R | 9 +- R/window.R | 8 +- R/wrap.R | 2 R/zzz.R | 2 build/partial.rdb |binary cleanup | 1 configure | 1 configure.ac | 1 inst/tinytest/test_distance.R |only inst/tinytest/test_extract.R | 14 ++++ inst/tinytest/test_tags.R | 6 + man/convhull.Rd | 6 - man/distance.Rd | 2 man/extract.Rd | 2 man/extractRange.Rd | 8 +- man/init.Rd | 4 - man/metags.Rd | 2 man/plet.Rd | 14 ++-- man/plot.Rd | 35 ++++++---- man/rast.Rd | 13 ++-- man/sample.Rd | 10 ++- man/sds.Rd | 8 +- man/sprc.Rd | 6 + man/terra-package.Rd | 5 - man/width.Rd | 6 - man/xapp.Rd | 2 src/Makevars.ucrt | 8 +- src/RcppExports.cpp | 25 +++++++ src/RcppFunctions.cpp | 3 src/RcppModule.cpp | 7 +- src/arith.cpp | 7 +- src/distVector.cpp | 15 ++-- src/gdal_algs.cpp | 10 +-- src/gdalio.cpp | 11 +++ src/ncdf.cpp | 57 +++++++++++++---- src/raster_methods.cpp | 50 ++++++++------- src/rasterize.cpp | 21 +++++- src/read_gdal.cpp | 54 ++++++++++------ src/spatRaster.cpp | 28 +++++--- src/spatRaster.h | 8 +- src/spatRasterMultiple.h | 4 - src/write.cpp | 2 src/write_gdal.cpp | 8 +- 64 files changed, 827 insertions(+), 391 deletions(-)
Title: Web Interface to 'IsoplotR'
Description: Provides a graphical user interface to the 'IsoplotR' package for radiometric geochronology. The GUI runs in an internet browser and can either be used offline, or hosted on a server to provide online access to the 'IsoplotR' toolbox.
Author: Pieter Vermeesch [aut, cre],
Tim Band [ctb]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>
Diff between IsoplotRgui versions 6.5 dated 2025-02-13 and 6.6 dated 2025-05-09
DESCRIPTION | 10 ++-- MD5 | 28 ++++++------ R/IsoplotR.R | 2 R/server.R | 26 ++++++++--- inst/www/help/radial.html | 20 ++++++++ inst/www/home/news.html | 46 ++++++++++---------- inst/www/js/IsoplotR.js | 70 +++++++++++++++++++++++++++++-- inst/www/js/constants.json | 6 ++ inst/www/js/js2R.js | 2 inst/www/js/settings.json | 1 inst/www/locales/en/contextual_help.json | 6 ++ inst/www/locales/en/dictionary_id.json | 5 ++ inst/www/locales/en/home_id.json | 2 inst/www/options/K-Ca.html | 24 ++++++++++ inst/www/version.txt | 2 15 files changed, 192 insertions(+), 58 deletions(-)
Title: Tools for Environmental Analyses, Ecotoxicology and Various R
Functions
Description: Contains miscellaneous functions useful for managing 'NetCDF' files (see <https://en.wikipedia.org/wiki/NetCDF>), get moon phase and time for sun rise and fall, tide level, analyse and reconstruct periodic time series of temperature with irregular sinusoidal pattern, show scales and wind rose in plot with change of color of text, Metropolis-Hastings algorithm for Bayesian MCMC analysis, plot graphs or boxplot with error bars, search files in disk by there names or their content, read the contents of all files from a folder at one time.
Author: Marc Girondot [aut, cre]
Maintainer: Marc Girondot <marc.girondot@gmail.com>
Diff between HelpersMG versions 6.4.5 dated 2025-03-28 and 6.5 dated 2025-05-09
DESCRIPTION | 11 ++++++----- MD5 | 26 ++++++++++++++------------ NAMESPACE | 1 + NEWS | 7 ++++++- R/HelpersMG-package.R | 4 ++-- R/Snbinom.R | 26 +++++++++++++------------- R/as.parameters.R | 18 +++++++++++------- R/sd_from_min_max.R |only R/sysdata.rda |binary R/tide.info.R | 2 +- inst/shiny/cutter/ui.R | 2 +- man/HelpersMG-package.Rd | 4 ++-- man/as.parameters.Rd | 2 +- man/figures/TB.png |binary man/sd_from_min_max.Rd |only 15 files changed, 58 insertions(+), 45 deletions(-)
Title: Visualising Multiple Pairwise Variable Correlations and Other
Scores
Description: We provide a tidy data structure and visualisations for multiple or grouped variable correlations,
general association measures scagnostics and other pairwise scores suitable for numerical, ordinal and nominal variables.
Supported measures include distance correlation, maximal information, ace correlation, Kendall's tau, and polychoric correlation.
Author: Amit Chinwan [aut],
Catherine Hurley [aut, cre]
Maintainer: Catherine Hurley <catherine.hurley@mu.ie>
Diff between bullseye versions 0.1.2 dated 2025-01-28 and 1.0.0 dated 2025-05-09
DESCRIPTION | 8 - MD5 | 93 ++++++------ NAMESPACE | 6 NEWS.md | 10 + R/bullseye-package.R | 3 R/pair_methods.R | 198 ++++++++++++++++++++------- R/pair_scagnostics.R | 7 R/pairwise.R | 70 ++++++++- R/pairwise_multi.R | 33 ++-- R/pairwise_scores.R | 27 ++- R/plot_pairwise.R | 39 +++-- R/util.R | 80 ++++++++++- build/vignette.rds |binary inst/doc/calc_pairwise.R | 8 + inst/doc/calc_pairwise.Rmd | 14 + inst/doc/calc_pairwise.html | 268 +++++++++++++++++++++---------------- inst/doc/integrating.html | 8 - inst/doc/vis_pairwise.R | 20 +- inst/doc/vis_pairwise.Rmd | 35 +++- inst/doc/vis_pairwise.html | 137 ++++++++++-------- man/add_nobs_to_pairwise.Rd |only man/pair_ace.Rd | 4 man/pair_cancor.Rd | 4 man/pair_chi.Rd | 4 man/pair_cor.Rd | 4 man/pair_dcor.Rd | 4 man/pair_gkGamma.Rd | 4 man/pair_gkTau.Rd | 4 man/pair_kendall.Rd |only man/pair_mine.Rd | 4 man/pair_nmi.Rd | 4 man/pair_polychor.Rd | 4 man/pair_polyserial.Rd | 4 man/pair_scagnostics.Rd | 3 man/pair_spearman.Rd |only man/pair_tauA.Rd | 4 man/pair_tauB.Rd | 4 man/pair_tauC.Rd | 4 man/pair_tauW.Rd | 4 man/pair_uncertainty.Rd | 4 man/pairwise.Rd | 24 ++- man/pairwise_by.Rd | 13 + man/pairwise_multi.Rd | 11 - man/pairwise_scores.Rd | 8 - man/plot_pairwise.Rd | 12 + man/plot_pairwise_linear.Rd | 6 tests/testthat/test-pair_methods.R | 8 - vignettes/calc_pairwise.Rmd | 14 + vignettes/vis_pairwise.Rmd | 35 +++- 49 files changed, 873 insertions(+), 389 deletions(-)
Title: Cross-Validation for Multi-Population Mortality Models
Description: Implementation of cross-validation method for testing the forecasting accuracy of several multi-population mortality models. The family of multi-population includes several multi-population mortality models proposed through the actuarial and demography literature. The package includes functions for fitting and forecast the mortality rates of several populations. Additionally, we include functions for testing the forecasting accuracy of different multi-population models.
References.
Atance, D., Debon, A., and Navarro, E. (2020) <doi:10.3390/math8091550>.
Bergmeir, C. & Benitez, J.M. (2012) <doi:10.1016/j.ins.2011.12.028>.
Debon, A., Montes, F., & Martinez-Ruiz, F. (2011) <doi:10.1007/s13385-011-0043-z>.
Lee, R.D. & Carter, L.R. (1992) <doi:10.1080/01621459.1992.10475265>.
Russolillo, M., Giordano, G., & Haberman, S. (2011) <doi:10.1080/03461231003611933>.
Santolino, M. (2023) <doi:10.3390/risks11100170>.
Author: David Atance [aut, cre] ,
Ana Debon [aut]
Maintainer: David Atance <david.atance@uah.es>
Diff between CvmortalityMult versions 1.0.9 dated 2025-02-13 and 1.1.0 dated 2025-05-09
DESCRIPTION | 13 +-- MD5 | 28 +++---- NAMESPACE | 2 R/SpainMap.R | 12 +-- R/fitLCmulti.R | 8 +- R/forecast.fitLCmulti.R | 118 ++++++++++++++++++++++++++------ R/multipopulation_cv.R | 161 ++++++++++++++++++++++++++++----------------- R/plot.fitLCmulti.R | 5 + R/plot.forLCmulti.R | 53 ++++++++++---- man/SpainMap.Rd | 2 man/fitLCmulti.Rd | 11 --- man/forecast.fitLCmulti.Rd | 41 ++++++----- man/multipopulation_cv.Rd | 72 ++++++++++---------- man/plot.fitLCmulti.Rd | 5 + man/plot.forLCmulti.Rd | 33 ++++++--- 15 files changed, 367 insertions(+), 197 deletions(-)
More information about CvmortalityMult at CRAN
Permanent link
Title: R Utilities for GFF Files
Description: R utilities for gff files, either general feature format (GFF3) or gene transfer format (GTF) formatted files. This package includes functions for producing summary stats, check for consistency and sorting errors, conversion from GTF to GFF3 format, file sorting, visualization and plotting of feature hierarchy, and exporting user defined feature subsets to SAF format. This tool was developed by the BioinfoGP core facility at CNB-CSIC.
Author: Juan Antonio Garcia-Martin [cre, aut] ,
Juan Carlos Oliveros [aut, ctb] ,
Rafael Torres-Perez [aut, ctb]
Maintainer: Juan Antonio Garcia-Martin <ja.garcia@cnb.csic.es>
Diff between Rgff versions 0.1.6 dated 2022-09-30 and 0.1.7 dated 2025-05-09
DESCRIPTION | 22 MD5 | 18 NEWS.md | 5 R/Rgff.R | 12 build/vignette.rds |binary inst/doc/Using_Rgff.R | 55 - inst/doc/Using_Rgff.Rmd | 46 - inst/doc/Using_Rgff.html | 1320 +---------------------------------------------- man/plot_features.Rd | 6 vignettes/Using_Rgff.Rmd | 46 - 10 files changed, 147 insertions(+), 1383 deletions(-)
Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large)
Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. Se [...truncated...]
Author: Moreno Bevilacqua [aut, cre, cph],
Victor Morales-Onate [ctb],
Francisco Cuevas-Pacheco [ctb],
Christian Caamano-Carrillo [ctb]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>
Diff between GeoModels versions 2.1.3 dated 2025-05-02 and 2.1.4 dated 2025-05-09
DESCRIPTION | 8 MD5 | 57 +-- NAMESPACE | 5 R/GeoCV.R | 2 R/GeoCompositeLik.r | 4 R/GeoCompositeLik2.R | 4 R/GeoCorrFct.r | 4 R/GeoCorrFct_Cop.R | 12 R/GeoCovariogram.r | 63 ++-- R/GeoCovmatrix.r | 166 ++++++---- R/GeoDoScores.R | 24 - R/GeoKrig.r | 512 +++++++++++++++++--------------- R/GeoKrigloc.R | 645 ++++++++++++++++++----------------------- R/GeoLik.r | 324 +++++++++----------- R/GeoNeighbSelect.R | 406 ++++++++++--------------- R/GeoSim.r | 3 R/GeoSimcond.R |only R/GeoVariogram.r | 353 ++++++++++------------ R/GeoVariogramDir.R |only R/Geovarestbootstrap.R | 59 +-- R/TB.R | 45 +- man/GeoKrigloc.Rd | 3 man/GeoSimapprox.Rd | 6 man/GeoSimcond.Rd |only man/GeoVarestbootstrap.Rd | 2 man/GeoVariogram.Rd | 5 man/GeovariogramDir.Rd |only man/plot.GeoVariogramDir.Rd |only src/CompositeLikelihoodCond2.c | 65 ++-- src/CorrelationFunction.c | 409 +++++++++++++------------ src/Distributions.c | 320 ++++++++++---------- src/weightedleastsquare.c | 621 +++++++++++++++++++++------------------ 32 files changed, 2054 insertions(+), 2073 deletions(-)
Title: Composite Indicators Functions
Description: A collection of functions to calculate Composite Indicators methods, focusing, in particular, on the normalisation and weighting-aggregation steps, as described in OECD Handbook on constructing composite indicators: methodology and user guide, 2008, 'Vidoli' and 'Fusco' and 'Mazziotta' <doi:10.1007/s11205-014-0710-y>, 'Mazziotta' and 'Pareto' (2016) <doi:10.1007/s11205-015-0998-2>, 'Van Puyenbroeck and 'Rogge' <doi:10.1016/j.ejor.2016.07.038> and other authors.
Author: Francesco Vidoli [aut, cre],
Elisa Fusco [aut]
Maintainer: Francesco Vidoli <fvidoli@gmail.com>
Diff between Compind versions 3.2 dated 2025-01-09 and 3.3 dated 2025-05-09
DESCRIPTION | 8 +++--- MD5 | 12 ++++----- NEWS | 9 ++++++ R/ci_ampi.R | 10 +++---- R/ci_mpi.R | 25 +++++++++++++------ man/ci_ampi.Rd | 2 - man/ci_mpi.Rd | 74 +++++++++++++++++++++++++++------------------------------ 7 files changed, 78 insertions(+), 62 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-04-03 0.3.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-04-25 0.1.2
Title: Project Multidimensional Data in 2D Space
Description: An implementation of the radviz projection in R. It enables the visualization of
multidimensional data while maintaining the relation to the original dimensions.
This package provides functions to create and plot radviz projections, and a number of summary
plots that enable comparison and analysis. For reference see Hoffman *et al.* (1999)
(<doi:10.1145/331770.331775>) for original implementation,
see Di Caro *et al* (2012) (<doi:10.1007/978-3-642-13672-6_13>),
for the original method for dimensional anchor arrangements, see Demsar *et al.* (2007)
(<doi:10.1016/j.jbi.2007.03.010>) for the original Freeviz implementation.
Author: Yann Abraham [aut, cre],
Nicolas Sauwen [aut]
Maintainer: Yann Abraham <yann.abraham@gmail.com>
Diff between Radviz versions 0.9.3 dated 2022-03-25 and 0.9.4 dated 2025-05-09
Radviz-0.9.3/Radviz/R/Radviz.R |only Radviz-0.9.3/Radviz/man/Radviz.Rd |only Radviz-0.9.4/Radviz/DESCRIPTION | 14 Radviz-0.9.4/Radviz/MD5 | 103 Radviz-0.9.4/Radviz/NAMESPACE | 172 - Radviz-0.9.4/Radviz/NEWS.md | 102 Radviz-0.9.4/Radviz/R/DB_weightedIdx.R | 164 - Radviz-0.9.4/Radviz/R/Helper-functions.R | 136 - Radviz-0.9.4/Radviz/R/Radviz-deprecated.R |only Radviz-0.9.4/Radviz/R/Radviz-package.R |only Radviz-0.9.4/Radviz/R/RcppExports.R | 30 Radviz-0.9.4/Radviz/R/anchor.filter.R | 62 Radviz-0.9.4/Radviz/R/bubbleRadviz.R | 218 - Radviz-0.9.4/Radviz/R/contour.radviz.R | 150 - Radviz-0.9.4/Radviz/R/cosine.R | 60 Radviz-0.9.4/Radviz/R/do.L.R | 104 Radviz-0.9.4/Radviz/R/do.density.R | 14 Radviz-0.9.4/Radviz/R/do.hex.R | 12 Radviz-0.9.4/Radviz/R/do.optimFreeviz.R | 634 ++--- Radviz-0.9.4/Radviz/R/do.optimGraphviz.R | 222 +- Radviz-0.9.4/Radviz/R/do.optimRadviz.R | 286 +- Radviz-0.9.4/Radviz/R/do.radviz.R | 250 +- Radviz-0.9.4/Radviz/R/forceTuning.R | 174 - Radviz-0.9.4/Radviz/R/get.optim.R | 68 Radviz-0.9.4/Radviz/R/hexplot.R | 120 - Radviz-0.9.4/Radviz/R/identify.radviz.R | 12 Radviz-0.9.4/Radviz/R/in.da.R | 120 - Radviz-0.9.4/Radviz/R/is.radviz.R | 30 Radviz-0.9.4/Radviz/R/is.valid.R | 22 Radviz-0.9.4/Radviz/R/make.S.R | 128 - Radviz-0.9.4/Radviz/R/plot.radviz.R | 196 - Radviz-0.9.4/Radviz/R/recenter.R | 58 Radviz-0.9.4/Radviz/R/rescalePlot.R | 112 - Radviz-0.9.4/Radviz/R/smoothRadviz.R | 142 - Radviz-0.9.4/Radviz/R/subset.radviz.R | 48 Radviz-0.9.4/Radviz/R/text.radviz.R | 266 +- Radviz-0.9.4/Radviz/R/theme_radviz.R | 80 Radviz-0.9.4/Radviz/build/partial.rdb |binary Radviz-0.9.4/Radviz/build/vignette.rds |binary Radviz-0.9.4/Radviz/inst/doc/multivariate_analysis.R | 520 ++-- Radviz-0.9.4/Radviz/inst/doc/multivariate_analysis.Rmd | 856 +++---- Radviz-0.9.4/Radviz/inst/doc/multivariate_analysis.html | 1546 ++++++++------ Radviz-0.9.4/Radviz/inst/doc/single_cell_projections.R | 362 +-- Radviz-0.9.4/Radviz/inst/doc/single_cell_projections.Rmd | 742 +++--- Radviz-0.9.4/Radviz/inst/doc/single_cell_projections.html | 1407 +++++++----- Radviz-0.9.4/Radviz/man/Radviz-deprecated.Rd | 42 Radviz-0.9.4/Radviz/man/Radviz-package.Rd |only Radviz-0.9.4/Radviz/man/cosine.Rd | 72 Radviz-0.9.4/Radviz/man/do.L.Rd | 90 Radviz-0.9.4/Radviz/man/do.optimFreeviz.Rd | 160 - Radviz-0.9.4/Radviz/man/do.optimGraphviz.Rd | 196 - Radviz-0.9.4/Radviz/man/do.optimRadviz.Rd | 194 - Radviz-0.9.4/Radviz/man/do.radviz.Rd | 186 - Radviz-0.9.4/Radviz/vignettes/multivariate_analysis.Rmd | 856 +++---- Radviz-0.9.4/Radviz/vignettes/single_cell_projections.Rmd | 742 +++--- 55 files changed, 6494 insertions(+), 5786 deletions(-)
Title: Streamlining Data Access in Clinical Research
Description: Provides a consistent interface for connecting R to various
data sources including file systems and databases.
Designed for clinical research, 'connector' streamlines access to 'ADAM',
'SDTM' for example. It helps to deal with multiple data formats through a standardized API and centralized
configuration.
Author: Cervan Girard [aut, cre],
Aksel Thomsen [aut],
Vladimir Obucina [aut],
Novo Nordisk A/S [cph]
Maintainer: Cervan Girard <cgid@novonordisk.com>
Diff between connector versions 0.1.0 dated 2025-04-25 and 0.1.1 dated 2025-05-09
connector-0.1.0/connector/inst/config/config_file_system.yml |only connector-0.1.0/connector/inst/config/example_config_file_system.yaml |only connector-0.1.0/connector/tests/testthat/_snaps/cnt_logger_integration.md |only connector-0.1.1/connector/DESCRIPTION | 10 connector-0.1.1/connector/MD5 | 66 ++-- connector-0.1.1/connector/NEWS.md | 17 + connector-0.1.1/connector/R/connect.R | 15 - connector-0.1.1/connector/R/conts_datasources.R | 2 connector-0.1.1/connector/R/dbi_backend_tools.R | 8 connector-0.1.1/connector/R/fs_backend_tools.R | 8 connector-0.1.1/connector/R/generic_backend.R | 8 connector-0.1.1/connector/R/utils_config.R | 103 +++---- connector-0.1.1/connector/README.md | 58 ++-- connector-0.1.1/connector/inst/WORDLIST | 27 + connector-0.1.1/connector/inst/config/_connector.yml |only connector-0.1.1/connector/inst/config/_connector_nested.yml | 4 connector-0.1.1/connector/inst/config/_nested_connector.yml |only connector-0.1.1/connector/inst/config/default_config.yml | 2 connector-0.1.1/connector/inst/config/example_for_generic.yml | 2 connector-0.1.1/connector/inst/config/test_env_config.yml | 2 connector-0.1.1/connector/inst/doc/connector.R | 36 +- connector-0.1.1/connector/inst/doc/connector.Rmd | 38 +- connector-0.1.1/connector/inst/doc/connector.html | 137 ++++------ connector-0.1.1/connector/inst/doc/customize.html | 12 connector-0.1.1/connector/man/add_datasource.Rd | 25 - connector-0.1.1/connector/man/add_metadata.Rd | 18 - connector-0.1.1/connector/man/connect.Rd | 4 connector-0.1.1/connector/man/connector-package.Rd | 4 connector-0.1.1/connector/man/remove_datasource.Rd | 28 -- connector-0.1.1/connector/man/remove_metadata.Rd | 22 - connector-0.1.1/connector/man/write_datasources.Rd | 2 connector-0.1.1/connector/tests/testthat/helper.R | 30 +- connector-0.1.1/connector/tests/testthat/setup.R |only connector-0.1.1/connector/tests/testthat/test-cnt_logger_generics.R | 12 connector-0.1.1/connector/tests/testthat/test-cnts_datasources.R | 3 connector-0.1.1/connector/tests/testthat/test-connect.R | 6 connector-0.1.1/connector/vignettes/connector.Rmd | 38 +- 37 files changed, 381 insertions(+), 366 deletions(-)