Title: Tools for Summarising and Analysing Soundscape Data
Description: A variety of tools relevant to the analysis
of marine soundscape data. There are tools for downloading AIS (automatic identification system)
data from Marine Cadastre <https://hub.marinecadastre.gov>,
connecting AIS data to GPS coordinates, plotting summaries of various soundscape
measurements, and downloading relevant environmental variables (wind, swell height) from the
National Center for Atmospheric Research data server <https://gdex.ucar.edu/datasets/d084001/>.
Most tools were developed to work well with output from 'Triton' software, but can be adapted
to work with any similar measurements.
Author: Taiki Sakai [aut, cre],
Anne Simonis [ctb],
Shannon Rankin [ctb],
Megan McKenna [ctb],
Kaitlin Palmer [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>
Diff between PAMscapes versions 0.14.5 dated 2025-08-31 and 0.15.0 dated 2026-02-04
DESCRIPTION | 14 - MD5 | 22 - NAMESPACE | 4 NEWS.md | 13 + R/evaluateDeployment.R | 15 - R/matchGFS.R | 70 +++-- R/matchSeascape.R | 2 R/plotPSD.R | 589 +++++++++++++++++++++++-------------------------- R/plotQAQC.R | 10 man/matchGFS.Rd | 2 man/matchSeascape.Rd | 2 man/plotPSD.Rd | 33 -- 12 files changed, 386 insertions(+), 390 deletions(-)
Title: Vowel Manipulation, Normalization, and Plotting
Description: Procedures for the manipulation, normalization, and plotting of phonetic and sociophonetic vowel formant data. vowels is the backend for the NORM website.
Author: Tyler Kendall [aut, cre] ,
Erik R. Thomas [aut]
Maintainer: Tyler Kendall <tsk@uoregon.edu>
Diff between vowels versions 1.2-2 dated 2018-03-05 and 1.2-3 dated 2026-02-04
DESCRIPTION | 26 ++++++++++++++++++++------ MD5 | 10 +++++----- NAMESPACE | 2 +- man/compute.means.Rd | 2 +- man/norm.wattfabricius.Rd | 2 +- man/ohiovowels.Rd | 2 +- 6 files changed, 29 insertions(+), 15 deletions(-)
Title: Single Cell Oriented Reconstruction of PANDA Individual
Optimized Networks
Description: Constructs gene regulatory networks from single-cell gene expression data using the PANDA (Passing Attributes between Networks for Data Assimilation) algorithm.
Author: Daniel Osorio [aut, cre] ,
Marieke L. Kuijjer [aut]
Maintainer: Daniel Osorio <daniecos@uio.no>
Diff between SCORPION versions 1.2.0 dated 2025-09-24 and 1.3.0 dated 2026-02-04
DESCRIPTION | 15 +-- MD5 | 27 ++++-- NAMESPACE | 22 +++++ R/adjLibrarySize.R |only R/data-scorpionTest.R | 1 R/fastCorrelation.R |only R/logNormalizeData.R |only R/makeSuperCells.R | 1 R/prepResult.R | 47 ++++------- R/removeBatch.R |only R/runPANDA.R | 32 +++++-- R/runSCORPION.R |only R/scorpion.R | 202 ++++++++++++++++++++++++++++-------------------- R/testEdges.R |only data/scorpionTest.RData |binary man/regressEdges.Rd |only man/runSCORPION.Rd |only man/scorpion.Rd | 137 ++++++++++++++++++-------------- man/testEdges.Rd |only 19 files changed, 289 insertions(+), 195 deletions(-)
Title: R Interface to 'FOAAS'
Description: R access to the 'FOAAS' (F... Off As A Service) web service is provided.
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between rfoaas versions 2.3.2 dated 2022-07-13 and 2.3.3 dated 2026-02-04
ChangeLog | 57 ++++++ DESCRIPTION | 17 +- MD5 | 12 - R/foaas.R | 269 ++++++++++++++++++-------------- README.md | 19 +- man/rfoaas-package.Rd | 359 ++++++++++++++++++++++--------------------- tests/runTestsAgainstFOAAS.R | 239 ++++++++++++++-------------- 7 files changed, 546 insertions(+), 426 deletions(-)
Title: Bayesian Analysis of Dynamic Generalized Linear Models
Description: Provide routines for filtering and smoothing, forecasting, sampling and Bayesian analysis of Dynamic Generalized Linear Models using the methodology described in Alves et al. (2024)<doi:10.48550/arXiv.2201.05387> and dos Santos Jr. et al. (2024)<doi:10.48550/arXiv.2403.13069>.
Author: Silvaneo dos Santos Jr. [aut, cre],
Mariane Branco Alves [aut],
Helio dos Santos Migon [aut]
Maintainer: Silvaneo dos Santos Jr. <silvaneojunior@utexas.edu>
This is a re-admission after prior archival of version 1.2.7 dated 2025-03-19
Diff between kDGLM versions 1.2.7 dated 2025-03-19 and 1.2.12 dated 2026-02-04
DESCRIPTION | 10 - MD5 | 66 ++++----- NAMESPACE | 1 R/func_helper.R | 31 ++-- R/kernel_gamma.R | 3 R/kernel_multinormal.R | 5 R/kernel_multnom.R | 6 R/kernel_normal.R | 27 +++ R/kernels.R | 104 +++++++-------- R/main.R | 92 +++++++++---- R/priors.R | 10 - R/structure_helper.R | 43 ++---- README.md | 2 build/partial.rdb |binary build/vignette.rds |binary inst/doc/example1.R | 22 +-- inst/doc/example1.Rmd | 26 ++- inst/doc/example1.html | 304 ++++++++++++++++++--------------------------- inst/doc/fitting.html | 13 + inst/doc/intro.html | 86 +----------- inst/doc/outcomes.Rmd | 3 inst/doc/outcomes.html | 5 inst/doc/structures.html | 5 man/analytic_filter.Rd | 6 man/ffs_block.Rd | 10 + man/fit_model.Rd | 5 man/fit_model_single.Rd | 10 + man/forecast.fitted_dlm.Rd | 5 man/harmonic_block.Rd | 11 + man/polynomial_block.Rd | 10 + man/regression_block.Rd | 1 man/tf_block.Rd | 5 vignettes/example1.Rmd | 26 ++- vignettes/outcomes.Rmd | 3 34 files changed, 491 insertions(+), 465 deletions(-)
Title: Equal-Area Hex Grids on the 'Snyder' 'ISEA' 'Icosahedron'
Description: Provides functions to build and use equal-area hexagonal discrete
global grids using the 'Snyder' 'ISEA' projection ('Snyder' 1992
<doi:10.3138/27H7-8K88-4882-1752>). Implements the 'ISEA' discrete global grid
system ('Sahr', 'White' and 'Kimerling' 2003 <doi:10.1559/152304003100011090>).
Includes a fast 'C++' core for projection and aperture quantization, and
'sf'/'terra'-compatible R wrappers for grid generation and coordinate assignment.
Output is compatible with 'dggridR' for interoperability.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Diff between hexify versions 0.3.9 dated 2026-02-04 and 0.3.10 dated 2026-02-04
DESCRIPTION | 6 ++-- MD5 | 28 ++++++++++----------- NEWS.md | 8 ++++++ R/grid_helpers.R | 9 ++++++ inst/doc/quickstart.Rmd | 5 --- inst/doc/quickstart.html | 34 ++++++++++++------------- inst/doc/visualization.Rmd | 2 - inst/doc/visualization.html | 17 ++++++------ inst/doc/workflows.R | 3 -- inst/doc/workflows.Rmd | 9 ------ inst/doc/workflows.html | 58 ++++++++++++++++++-------------------------- tests/testthat/Rplots.pdf |binary vignettes/quickstart.Rmd | 5 --- vignettes/visualization.Rmd | 2 - vignettes/workflows.Rmd | 9 ------ 15 files changed, 84 insertions(+), 111 deletions(-)
Title: Estimate and Forecast Real-Time Infection Dynamics
Description: Estimates the time-varying reproduction number, rate of
spread, and doubling time using a renewal equation approach combined
with Bayesian inference via Stan. Supports Gaussian process and
random walk priors for modelling changes in
transmission over time. Accounts for delays between infection and
observation (incubation period, reporting delays), right-truncation
in recent data, day-of-week effects, and observation overdispersion.
Can estimate relationships between primary and secondary outcomes
(e.g., cases to hospitalisations or deaths) and forecast both. Runs
across multiple regions in parallel. Based on
Abbott et al. (2020) <doi:10.12688/wellcomeopenres.16006.1> and
Gostic et al. (2020) <doi:10.1101/2020.06.18.20134858>.
Author: Sam Abbott [aut] ,
Joel Hellewell [aut] ,
Katharine Sherratt [aut],
Katelyn Gostic [aut],
Joe Hickson [aut],
Hamada S. Badr [aut] ,
Michael DeWitt [aut] ,
James M. Azam [aut] ,
Adrian Lison [aut] ,
Robin Thompson [ctb],
Sophie Meakin [ctb],
James Mun [...truncated...]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>
Diff between EpiNow2 versions 1.7.1 dated 2025-02-19 and 1.8.0 dated 2026-02-04
EpiNow2-1.7.1/EpiNow2/R/deprecated.R |only EpiNow2-1.7.1/EpiNow2/man/apply_tolerance.Rd |only EpiNow2-1.7.1/EpiNow2/man/dist_skel.Rd |only EpiNow2-1.7.1/EpiNow2/man/extract_parameter.Rd |only EpiNow2-1.7.1/EpiNow2/man/extract_static_parameter.Rd |only EpiNow2-1.7.1/EpiNow2/man/fix_dist.Rd |only EpiNow2-1.7.1/EpiNow2/man/plot.epinow.Rd |only EpiNow2-1.7.1/EpiNow2/tests/testthat/test-create_stan_data.R |only EpiNow2-1.8.0/EpiNow2/DESCRIPTION | 94 EpiNow2-1.8.0/EpiNow2/MD5 | 455 - EpiNow2-1.8.0/EpiNow2/NAMESPACE | 44 EpiNow2-1.8.0/EpiNow2/NEWS.md | 139 EpiNow2-1.8.0/EpiNow2/R/checks.R | 78 EpiNow2-1.8.0/EpiNow2/R/create.R | 360 EpiNow2-1.8.0/EpiNow2/R/dist_spec.R | 466 - EpiNow2-1.8.0/EpiNow2/R/epinow-internal.R | 40 EpiNow2-1.8.0/EpiNow2/R/epinow.R | 201 EpiNow2-1.8.0/EpiNow2/R/estimate_delay.R | 59 EpiNow2-1.8.0/EpiNow2/R/estimate_infections.R | 258 EpiNow2-1.8.0/EpiNow2/R/estimate_secondary.R | 261 EpiNow2-1.8.0/EpiNow2/R/estimate_truncation.R | 380 EpiNow2-1.8.0/EpiNow2/R/extract.R | 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EpiNow2-1.8.0/EpiNow2/inst/extdata/example_estimate_infections.rds |binary EpiNow2-1.8.0/EpiNow2/inst/extdata/example_regional_epinow.rds |binary EpiNow2-1.8.0/EpiNow2/inst/stan/data/backcalc.stan | 2 EpiNow2-1.8.0/EpiNow2/inst/stan/data/estimate_infections_params.stan | 11 EpiNow2-1.8.0/EpiNow2/inst/stan/data/estimate_secondary_params.stan | 4 EpiNow2-1.8.0/EpiNow2/inst/stan/data/observation_model.stan | 4 EpiNow2-1.8.0/EpiNow2/inst/stan/data/observations.stan | 1 EpiNow2-1.8.0/EpiNow2/inst/stan/data/rt.stan | 6 EpiNow2-1.8.0/EpiNow2/inst/stan/data/simulation_delays.stan | 2 EpiNow2-1.8.0/EpiNow2/inst/stan/data/simulation_observation_model.stan | 2 EpiNow2-1.8.0/EpiNow2/inst/stan/data/simulation_rt.stan | 8 EpiNow2-1.8.0/EpiNow2/inst/stan/docs |only EpiNow2-1.8.0/EpiNow2/inst/stan/estimate_infections.stan | 150 EpiNow2-1.8.0/EpiNow2/inst/stan/estimate_secondary.stan | 52 EpiNow2-1.8.0/EpiNow2/inst/stan/estimate_truncation.stan | 39 EpiNow2-1.8.0/EpiNow2/inst/stan/functions/convolve.stan | 32 EpiNow2-1.8.0/EpiNow2/inst/stan/functions/delays.stan | 66 EpiNow2-1.8.0/EpiNow2/inst/stan/functions/gaussian_process.stan | 31 EpiNow2-1.8.0/EpiNow2/inst/stan/functions/generated_quantities.stan | 112 EpiNow2-1.8.0/EpiNow2/inst/stan/functions/infections.stan | 86 EpiNow2-1.8.0/EpiNow2/inst/stan/functions/observation_model.stan | 46 EpiNow2-1.8.0/EpiNow2/inst/stan/functions/params.stan | 53 EpiNow2-1.8.0/EpiNow2/inst/stan/functions/pmfs.stan | 29 EpiNow2-1.8.0/EpiNow2/inst/stan/functions/rt.stan | 51 EpiNow2-1.8.0/EpiNow2/inst/stan/functions/secondary.stan | 31 EpiNow2-1.8.0/EpiNow2/inst/stan/simulate_infections.stan | 75 EpiNow2-1.8.0/EpiNow2/inst/stan/simulate_secondary.stan | 52 EpiNow2-1.8.0/EpiNow2/man/EpiNow2-package.Rd | 11 EpiNow2-1.8.0/EpiNow2/man/add_breakpoints.Rd | 8 EpiNow2-1.8.0/EpiNow2/man/apply_zero_threshold.Rd | 8 EpiNow2-1.8.0/EpiNow2/man/bootstrapped_dist_fit.Rd | 4 EpiNow2-1.8.0/EpiNow2/man/cash-.epinow.Rd |only EpiNow2-1.8.0/EpiNow2/man/cash-.estimate_infections.Rd |only EpiNow2-1.8.0/EpiNow2/man/cash-.estimate_secondary.Rd |only EpiNow2-1.8.0/EpiNow2/man/check_truncation_length.Rd |only EpiNow2-1.8.0/EpiNow2/man/combine_tv_and_static_params.Rd |only EpiNow2-1.8.0/EpiNow2/man/construct_output.Rd | 5 EpiNow2-1.8.0/EpiNow2/man/convolve_and_scale.Rd | 2 EpiNow2-1.8.0/EpiNow2/man/create_backcalc_data.Rd | 2 EpiNow2-1.8.0/EpiNow2/man/create_delay_inits.Rd | 4 EpiNow2-1.8.0/EpiNow2/man/create_infection_summary.Rd |only EpiNow2-1.8.0/EpiNow2/man/create_initial_conditions.Rd | 6 EpiNow2-1.8.0/EpiNow2/man/create_rt_data.Rd | 13 EpiNow2-1.8.0/EpiNow2/man/create_sampling_log_message.Rd |only EpiNow2-1.8.0/EpiNow2/man/create_shifted_cases.Rd | 8 EpiNow2-1.8.0/EpiNow2/man/create_stan_data.Rd | 23 EpiNow2-1.8.0/EpiNow2/man/create_stan_params.Rd | 8 EpiNow2-1.8.0/EpiNow2/man/default_fill_missing_obs.Rd | 8 EpiNow2-1.8.0/EpiNow2/man/discrete_pmf.Rd | 15 EpiNow2-1.8.0/EpiNow2/man/discretise.Rd | 21 EpiNow2-1.8.0/EpiNow2/man/dist_spec_distributions.Rd |only EpiNow2-1.8.0/EpiNow2/man/epinow.Rd | 34 EpiNow2-1.8.0/EpiNow2/man/estimate_delay.Rd | 3 EpiNow2-1.8.0/EpiNow2/man/estimate_infections.Rd | 35 EpiNow2-1.8.0/EpiNow2/man/estimate_secondary.Rd | 17 EpiNow2-1.8.0/EpiNow2/man/estimate_truncation.Rd | 49 EpiNow2-1.8.0/EpiNow2/man/extract_delay_params.Rd |only EpiNow2-1.8.0/EpiNow2/man/extract_delays.Rd |only EpiNow2-1.8.0/EpiNow2/man/extract_latent_state.Rd |only EpiNow2-1.8.0/EpiNow2/man/extract_parameter_samples.Rd | 18 EpiNow2-1.8.0/EpiNow2/man/extract_parameters.Rd |only EpiNow2-1.8.0/EpiNow2/man/extract_scalar_params.Rd |only EpiNow2-1.8.0/EpiNow2/man/extract_stan_param.Rd | 2 EpiNow2-1.8.0/EpiNow2/man/figures/logo.png |only EpiNow2-1.8.0/EpiNow2/man/filter_leading_zeros.Rd | 8 EpiNow2-1.8.0/EpiNow2/man/forecast_infections.Rd | 36 EpiNow2-1.8.0/EpiNow2/man/forecast_opts.Rd | 2 EpiNow2-1.8.0/EpiNow2/man/forecast_secondary.Rd | 3 EpiNow2-1.8.0/EpiNow2/man/format_fit.Rd | 8 EpiNow2-1.8.0/EpiNow2/man/format_quantile_predictions.Rd |only EpiNow2-1.8.0/EpiNow2/man/format_sample_predictions.Rd |only EpiNow2-1.8.0/EpiNow2/man/format_samples_with_dates.Rd |only EpiNow2-1.8.0/EpiNow2/man/format_simulation_output.Rd |only EpiNow2-1.8.0/EpiNow2/man/get_parameters.Rd | 36 EpiNow2-1.8.0/EpiNow2/man/get_predictions.Rd |only EpiNow2-1.8.0/EpiNow2/man/get_samples.Rd |only EpiNow2-1.8.0/EpiNow2/man/gp_opts.Rd | 4 EpiNow2-1.8.0/EpiNow2/man/make_param.Rd |only EpiNow2-1.8.0/EpiNow2/man/merge_trunc_pred_obs.Rd |only EpiNow2-1.8.0/EpiNow2/man/obs_opts.Rd | 2 EpiNow2-1.8.0/EpiNow2/man/pad_reported_cases.Rd |only EpiNow2-1.8.0/EpiNow2/man/plot.estimate_infections.Rd | 20 EpiNow2-1.8.0/EpiNow2/man/plot.estimate_secondary.Rd | 2 EpiNow2-1.8.0/EpiNow2/man/plot.estimate_truncation.Rd | 2 EpiNow2-1.8.0/EpiNow2/man/plot.forecast_infections.Rd |only EpiNow2-1.8.0/EpiNow2/man/plot.forecast_secondary.Rd |only EpiNow2-1.8.0/EpiNow2/man/plot_CrIs.Rd | 9 EpiNow2-1.8.0/EpiNow2/man/plot_estimates.Rd | 23 EpiNow2-1.8.0/EpiNow2/man/posterior_to_normal.Rd |only EpiNow2-1.8.0/EpiNow2/man/prepare_truncation_obs.Rd |only EpiNow2-1.8.0/EpiNow2/man/print.epinowfit.Rd |only EpiNow2-1.8.0/EpiNow2/man/reconstruct_delay.Rd |only EpiNow2-1.8.0/EpiNow2/man/reconstruct_nonparametric.Rd |only EpiNow2-1.8.0/EpiNow2/man/reconstruct_parametric.Rd |only EpiNow2-1.8.0/EpiNow2/man/regional_epinow.Rd | 5 EpiNow2-1.8.0/EpiNow2/man/regional_runtimes.Rd | 2 EpiNow2-1.8.0/EpiNow2/man/regional_summary.Rd | 5 EpiNow2-1.8.0/EpiNow2/man/report_plots.Rd | 5 EpiNow2-1.8.0/EpiNow2/man/rt_opts.Rd | 55 EpiNow2-1.8.0/EpiNow2/man/run_region.Rd | 3 EpiNow2-1.8.0/EpiNow2/man/save_estimate_infections.Rd | 7 EpiNow2-1.8.0/EpiNow2/man/save_input.Rd | 8 EpiNow2-1.8.0/EpiNow2/man/select_plots.Rd |only EpiNow2-1.8.0/EpiNow2/man/setup_dt.Rd | 8 EpiNow2-1.8.0/EpiNow2/man/simulate_infections.Rd | 46 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EpiNow2-1.8.0/EpiNow2/src/stanExports_simulate_infections.h | 3144 ++++--- EpiNow2-1.8.0/EpiNow2/src/stanExports_simulate_secondary.h | 1086 +- EpiNow2-1.8.0/EpiNow2/tests/testthat/_snaps/simulate-infections.md | 58 EpiNow2-1.8.0/EpiNow2/tests/testthat/_snaps/simulate-secondary.md | 24 EpiNow2-1.8.0/EpiNow2/tests/testthat/setup.R | 95 EpiNow2-1.8.0/EpiNow2/tests/testthat/test-checks.R | 149 EpiNow2-1.8.0/EpiNow2/tests/testthat/test-create_rt_date.R | 47 EpiNow2-1.8.0/EpiNow2/tests/testthat/test-create_stan_params.R | 42 EpiNow2-1.8.0/EpiNow2/tests/testthat/test-delays.R | 173 EpiNow2-1.8.0/EpiNow2/tests/testthat/test-dist.R | 1 EpiNow2-1.8.0/EpiNow2/tests/testthat/test-dist_spec.R | 38 EpiNow2-1.8.0/EpiNow2/tests/testthat/test-epinow.R | 157 EpiNow2-1.8.0/EpiNow2/tests/testthat/test-estimate_delay.R | 25 EpiNow2-1.8.0/EpiNow2/tests/testthat/test-estimate_infections.R | 499 + EpiNow2-1.8.0/EpiNow2/tests/testthat/test-estimate_secondary.R | 408 - 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Title: Neuroscience Extension Package for ADaM in 'R' Asset Library
Description: Programming neuroscience specific Clinical Data Standards
Interchange Consortium (CDISC) compliant Analysis Data Model (ADaM)
datasets in 'R'. ADaM datasets are a mandatory part of any New Drug
or Biologics License Application submitted to the United States Food
and Drug Administration (FDA). Analysis derivations are implemented in
accordance with the "Analysis Data Model Implementation Guide" (CDISC
Analysis Data Model Team, 2021,
<https://www.cdisc.org/standards/foundational/adam>). This package
extends the 'admiral' package.
Author: Jian Wang [aut, cre] ,
Miles Almond [aut] ,
Xiao Chen [aut] ,
Fanny Gautier [aut] ,
Gayatri G. [aut],
Meilin Jiang [aut] ,
Leena Khatri [aut] ,
Edoardo Mancini [aut] ,
Eric Nantz [aut],
Lina Patil [aut],
Chris Pelentrides [aut],
Eli Lilly and Company [...truncated...]
Maintainer: Jian Wang <wang_jian_wj@lilly.com>
Diff between admiralneuro versions 0.2.0 dated 2026-02-04 and 0.2.1 dated 2026-02-04
DESCRIPTION | 6 +++--- MD5 | 4 ++-- NEWS.md | 2 +- 3 files changed, 6 insertions(+), 6 deletions(-)
Title: Estimation Methods for Markets in Equilibrium and Disequilibrium
Description: Provides estimation methods for markets in equilibrium and
disequilibrium. Supports the estimation of an equilibrium and
four disequilibrium models with both correlated and independent shocks.
Also provides post-estimation analysis tools, such as aggregation,
marginal effect, and shortage calculations. See Karapanagiotis (2024)
<doi:10.18637/jss.v108.i02> for an overview of the functionality
and examples. The estimation methods are based on full information
maximum likelihood techniques given in
Maddala and Nelson (1974) <doi:10.2307/1914215>. They are implemented
using the analytic derivative expressions calculated in
Karapanagiotis (2020) <doi:10.2139/ssrn.3525622>. Standard
errors can be estimated by adjusting for heteroscedasticity or clustering.
The equilibrium estimation constitutes a case of a system of linear,
simultaneous equations. Instead, the disequilibrium models replace the
market-clearing condition with a non-linear,
short-side rule and allow for differ [...truncated...]
Author: Pantelis Karapanagiotis [aut, cre]
Maintainer: Pantelis Karapanagiotis <pikappa.devel@gmail.com>
Diff between markets versions 1.1.6 dated 2025-08-19 and 1.1.7 dated 2026-02-04
DESCRIPTION | 10 +-- MD5 | 24 +++---- NEWS.md | 16 ++++ R/market_model.R | 2 R/model_simulation.R | 2 README.md | 103 ++++++++----------------------- build/partial.rdb |binary build/vignette.rds |binary inst/doc/basic_usage.html | 17 +---- inst/doc/market_clearing_assessment.html | 5 - inst/doc/model_details.html | 5 - inst/doc/package.html | 2 man/figures/logo.png |binary 13 files changed, 77 insertions(+), 109 deletions(-)
More information about marinepredator at CRAN
Permanent link
More information about directadjusting at CRAN
Permanent link
Title: Time Series Analysis and Forecasting Using Complex Variables
Description: Implements the instruments for complex-valued modelling,
including time series analysis and forecasting. This is based on the monograph
by Svetunkov & Svetunkov (2024) <doi: 10.1007/978-3-031-62608-1>.
Author: Ivan Svetunkov [aut, cre]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>
This is a re-admission after prior archival of version 1.0.0 dated 2024-04-09
Diff between complex versions 1.0.0 dated 2024-04-09 and 1.0.2 dated 2026-02-04
DESCRIPTION | 15 +++++++-------- MD5 | 26 +++++++++++++------------- NEWS | 14 ++++++++++++++ R/cacf.R | 2 +- README.md | 3 +-- man/cACF.Rd | 2 +- man/ccor.Rd | 2 +- man/clm.Rd | 2 +- man/clog.Rd | 2 +- man/cnormal.Rd | 2 +- man/complex2mat.Rd | 2 +- man/cplot.Rd | 2 +- man/cscale.Rd | 2 +- man/invert.Rd | 2 +- 14 files changed, 45 insertions(+), 33 deletions(-)
Title: Neuroscience Extension Package for ADaM in 'R' Asset Library
Description: Programming neuroscience specific Clinical Data Standards
Interchange Consortium (CDISC) compliant Analysis Data Model (ADaM)
datasets in 'R'. ADaM datasets are a mandatory part of any New Drug
or Biologics License Application submitted to the United States Food
and Drug Administration (FDA). Analysis derivations are implemented in
accordance with the "Analysis Data Model Implementation Guide" (CDISC
Analysis Data Model Team, 2021,
<https://www.cdisc.org/standards/foundational/adam>). This package
extends the 'admiral' package.
Author: Jian Wang [aut, cre] ,
Miles Almond [aut] ,
Xiao Chen [aut] ,
Fanny Gautier [aut] ,
Gayatri G. [aut],
Meilin Jiang [aut] ,
Leena Khatri [aut] ,
Edoardo Mancini [aut] ,
Eric Nantz [aut],
Lina Patil [aut],
Chris Pelentrides [aut],
Eli Lilly and Company [...truncated...]
Maintainer: Jian Wang <wang_jian_wj@lilly.com>
Diff between admiralneuro versions 0.1.0 dated 2025-09-14 and 0.2.0 dated 2026-02-04
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Title: Fundamentos de estadÃstica descriptiva e inferencial
Description: Este paquete pretende apoyar el proceso enseñanza-aprendizaje de estadÃstica descriptiva e inferencial. Las funciones contenidas en el paquete 'estadistica' cubren los conceptos básicos estudiados en un curso introductorio. Muchos conceptos son ilustrados con gráficos dinámicos o web apps para facilitar su comprensión. This package aims to help the teaching-learning process of descriptive and inferential statistics. The functions contained in the package 'estadistica' cover the basic concepts studied in a statistics introductory course. Many concepts are illustrated with dynamic graphs or web apps to make the understanding easier. See: Esteban et al. (2005, ISBN: 9788497323741), Newbold et al.(2019, ISBN:9781292315034 ), Murgui et al. (2002, ISBN:9788484424673) .
Author: Vicente Coll-Serrano [aut, cre],
Rosario Martinez Verdu [aut]
Maintainer: Vicente Coll-Serrano <estadistic@uv.es>
Diff between estadistica versions 1.2 dated 2025-12-13 and 1.2.1 dated 2026-02-04
DESCRIPTION | 6 +++--- MD5 | 4 ++-- R/globals.R | 2 +- 3 files changed, 6 insertions(+), 6 deletions(-)
Title: Sparse VAR (Vector Autoregression) / VECM (Vector Error
Correction Model) Estimation
Description: A wrapper for sparse VAR (Vector Autoregression) and
VECM (Vector Error Correction Model) time series models estimation
using penalties like ENET (Elastic Net), SCAD (Smoothly Clipped
Absolute Deviation) and MCP (Minimax Concave Penalty).
Based on the work of Basu and Michailidis (2015)
<doi:10.1214/15-AOS1315>.
Author: Simone Vazzoler [aut, cre]
Maintainer: Simone Vazzoler <svazzole@gmail.com>
This is a re-admission after prior archival of version 0.1.0 dated 2021-04-18
Diff between sparsevar versions 0.1.0 dated 2021-04-18 and 1.0.0 dated 2026-02-04
sparsevar-0.1.0/sparsevar/R/mcSimulations.R |only sparsevar-0.1.0/sparsevar/R/twoStepOLS.R |only sparsevar-0.1.0/sparsevar/inst/doc/using.pdf |only sparsevar-0.1.0/sparsevar/man/bootstrappedVAR.Rd |only sparsevar-0.1.0/sparsevar/man/checkImpulseZero.Rd |only sparsevar-0.1.0/sparsevar/man/checkIsVar.Rd |only sparsevar-0.1.0/sparsevar/man/companionVAR.Rd |only sparsevar-0.1.0/sparsevar/man/computeForecasts.Rd |only sparsevar-0.1.0/sparsevar/man/createSparseMatrix.Rd |only sparsevar-0.1.0/sparsevar/man/decomposePi.Rd |only sparsevar-0.1.0/sparsevar/man/errorBandsIRF.Rd |only sparsevar-0.1.0/sparsevar/man/fitVAR.Rd |only sparsevar-0.1.0/sparsevar/man/fitVARX.Rd |only sparsevar-0.1.0/sparsevar/man/fitVECM.Rd |only sparsevar-0.1.0/sparsevar/man/frobNorm.Rd |only sparsevar-0.1.0/sparsevar/man/impulseResponse.Rd |only sparsevar-0.1.0/sparsevar/man/informCrit.Rd |only sparsevar-0.1.0/sparsevar/man/lInftyNorm.Rd |only sparsevar-0.1.0/sparsevar/man/maxNorm.Rd |only sparsevar-0.1.0/sparsevar/man/mcSimulations.Rd |only sparsevar-0.1.0/sparsevar/man/plotIRF.Rd |only sparsevar-0.1.0/sparsevar/man/plotIRFGrid.Rd |only sparsevar-0.1.0/sparsevar/man/plotMatrix.Rd |only sparsevar-0.1.0/sparsevar/man/plotVAR.Rd |only sparsevar-0.1.0/sparsevar/man/plotVECM.Rd |only sparsevar-0.1.0/sparsevar/man/simulateVAR.Rd |only sparsevar-0.1.0/sparsevar/man/simulateVARX.Rd |only sparsevar-0.1.0/sparsevar/man/spectralNorm.Rd |only sparsevar-0.1.0/sparsevar/man/spectralRadius.Rd |only sparsevar-0.1.0/sparsevar/man/testGranger.Rd |only sparsevar-0.1.0/sparsevar/man/transformData.Rd |only sparsevar-0.1.0/sparsevar/man/varENET.Rd |only sparsevar-0.1.0/sparsevar/man/varMCP.Rd |only sparsevar-0.1.0/sparsevar/man/varSCAD.Rd |only sparsevar-0.1.0/sparsevar/vignettes/using_cache |only sparsevar-1.0.0/sparsevar/DESCRIPTION | 32 - 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Title: Spherical k-Means Clustering
Description: Algorithms to compute spherical k-means partitions.
Features several methods, including a genetic and a fixed-point
algorithm and an interface to the CLUTO vcluster program.
Author: Kurt Hornik [aut, cre] ,
Ingo Feinerer [aut] ,
Martin Kober [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>
Diff between skmeans versions 0.2-18 dated 2024-11-13 and 0.2-19 dated 2026-02-04
DESCRIPTION | 10 ++++----- MD5 | 7 +++--- build/partial.rdb |binary inst/REFERENCES.R |only man/skmeans.Rd | 55 ++++++++++++------------------------------------------ 5 files changed, 22 insertions(+), 50 deletions(-)
Title: Fit and Simulate Generalised Hypergeometric Ensembles of Graphs
Description: Provides functions for model fitting and selection of generalised hypergeometric ensembles of random graphs (gHypEG).
To learn how to use it, check the vignettes for a quick tutorial.
Please reference its use as Casiraghi, G., Nanumyan, V. (2019) <doi:10.5281/zenodo.2555300>
together with those relevant references from the one listed below.
The package is based on the research developed at the Chair of Systems Design, ETH Zurich.
Casiraghi, G., Nanumyan, V., Scholtes, I., Schweitzer, F. (2016) <doi:10.48550/arXiv.1607.02441>.
Casiraghi, G., Nanumyan, V., Scholtes, I., Schweitzer, F. (2017) <doi:10.1007/978-3-319-67256-4_11>.
Casiraghi, G., (2017) <doi:10.48550/arXiv.1702.02048>.
Brandenberger, L., Casiraghi, G., Nanumyan, V., Schweitzer, F. (2019) <doi:10.1145/3341161.3342926>.
Casiraghi, G. (2019) <doi:10.1007/s41109-019-0241-1>.
Casiraghi, G., Nanumyan, V. (2021) <doi:10.1038/s41598-021-92519-y>.
Casiraghi, G. (2021) <doi:10.1088/2632-072X [...truncated...]
Author: Giona Casiraghi [aut, cre] ,
Vahan Nanumyan [aut] ,
Laurence Brandenberger [ctb],
Giacomo Vaccario [ctb]
Maintainer: Giona Casiraghi <giona@ethz.ch>
Diff between ghypernet versions 1.1.0 dated 2021-10-15 and 1.1.2 dated 2026-02-04
ghypernet-1.1.0/ghypernet/tests/testthat/test-auxilliary.R |only ghypernet-1.1.2/ghypernet/DESCRIPTION | 25 ghypernet-1.1.2/ghypernet/MD5 | 80 ghypernet-1.1.2/ghypernet/NAMESPACE | 4 ghypernet-1.1.2/ghypernet/NEWS.md | 26 ghypernet-1.1.2/ghypernet/R/auxilliary.R | 4 ghypernet-1.1.2/ghypernet/R/blockmodel.R | 90 ghypernet-1.1.2/ghypernet/R/computexi.R | 15 ghypernet-1.1.2/ghypernet/R/data.R | 6 ghypernet-1.1.2/ghypernet/R/ghype.R | 2 ghypernet-1.1.2/ghypernet/R/igraphintegration.R | 1 ghypernet-1.1.2/ghypernet/R/logl.R | 15 ghypernet-1.1.2/ghypernet/R/mvhyper.R |only ghypernet-1.1.2/ghypernet/R/nrm.R | 26 ghypernet-1.1.2/ghypernet/R/print.R | 1 ghypernet-1.1.2/ghypernet/R/randomsamples.R | 7 ghypernet-1.1.2/ghypernet/R/stats.R | 1 ghypernet-1.1.2/ghypernet/R/tests.R | 80 ghypernet-1.1.2/ghypernet/README.md | 4 ghypernet-1.1.2/ghypernet/build/vignette.rds |binary ghypernet-1.1.2/ghypernet/inst/doc/Significantlinks.html | 470 + ghypernet-1.1.2/ghypernet/inst/doc/Tutorial_NRM.R | 18 ghypernet-1.1.2/ghypernet/inst/doc/Tutorial_NRM.Rmd | 2 ghypernet-1.1.2/ghypernet/inst/doc/Tutorial_NRM.html | 2435 +++------- ghypernet-1.1.2/ghypernet/inst/doc/tutorial.html | 809 ++- ghypernet-1.1.2/ghypernet/man/as.ghype.Rd | 6 ghypernet-1.1.2/ghypernet/man/bccm.Rd | 4 ghypernet-1.1.2/ghypernet/man/contacts.adj.Rd | 2 ghypernet-1.1.2/ghypernet/man/dmvhyper_base.Rd |only ghypernet-1.1.2/ghypernet/man/ghype.Rd | 11 ghypernet-1.1.2/ghypernet/man/highschool.multiplex.Rd | 2 ghypernet-1.1.2/ghypernet/man/highschool.predictors.Rd | 2 ghypernet-1.1.2/ghypernet/man/link_significance.Rd | 10 ghypernet-1.1.2/ghypernet/man/logl.Rd | 6 ghypernet-1.1.2/ghypernet/man/nrm.Rd | 9 ghypernet-1.1.2/ghypernet/man/nrm_selection.Rd | 11 ghypernet-1.1.2/ghypernet/man/rmvhyper_base.Rd |only ghypernet-1.1.2/ghypernet/tests/testthat/test-auxiliary.R |only ghypernet-1.1.2/ghypernet/tests/testthat/test-blockmodel.R | 58 ghypernet-1.1.2/ghypernet/tests/testthat/test-ghype.R | 13 ghypernet-1.1.2/ghypernet/tests/testthat/test-link_significance.R |only ghypernet-1.1.2/ghypernet/tests/testthat/test-lltests.R |only ghypernet-1.1.2/ghypernet/tests/testthat/test-logl.R |only ghypernet-1.1.2/ghypernet/tests/testthat/test-mvhyper.R |only ghypernet-1.1.2/ghypernet/tests/testthat/test-rghype.R |only ghypernet-1.1.2/ghypernet/vignettes/Tutorial_NRM.Rmd | 2 46 files changed, 2171 insertions(+), 2086 deletions(-)
More information about CurricularComplexityData at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-05-14 0.1.1
2019-03-06 0.1.0
Title: Equal-Area Hex Grids on the 'Snyder' 'ISEA' 'Icosahedron'
Description: Provides functions to build and use equal-area hexagonal discrete
global grids using the 'Snyder' 'ISEA' projection ('Snyder' 1992
<doi:10.3138/27H7-8K88-4882-1752>). Implements the 'ISEA' discrete global grid
system ('Sahr', 'White' and 'Kimerling' 2003 <doi:10.1559/152304003100011090>).
Includes a fast 'C++' core for projection and aperture quantization, and
'sf'/'terra'-compatible R wrappers for grid generation and coordinate assignment.
Output is compatible with 'dggridR' for interoperability.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Diff between hexify versions 0.3.8 dated 2026-01-21 and 0.3.9 dated 2026-02-04
DESCRIPTION | 6 MD5 | 36 - NAMESPACE | 2 R/grid_helpers.R | 7 R/plot_globe.R |only README.md | 7 inst/doc/quickstart.Rmd | 567 ++++++++-------- inst/doc/quickstart.html | 44 - inst/doc/visualization.Rmd | 2 inst/doc/visualization.html | 23 inst/doc/workflows.Rmd | 930 +++++++++++++-------------- inst/doc/workflows.html | 29 man/globe_centers.Rd |only man/plot_globe.Rd |only src/rcpp_cell.cpp | 60 + tests/testthat-full/test-geometry-validity.R |only tests/testthat/Rplots.pdf |binary tests/testthat/test-grid-helpers.R | 21 vignettes/quickstart.Rmd | 567 ++++++++-------- vignettes/visualization.Rmd | 2 vignettes/workflows.Rmd | 930 +++++++++++++-------------- 21 files changed, 1667 insertions(+), 1566 deletions(-)
Title: Analysis of Moderation, Statistical Power, and Optimal Design
for Studies Detecting Difference and Equivalence
Description: Analysis of moderation (ANOMO) method conceptualizes
the difference and equivalence tests as a moderation problem to
test the difference and equivalence of
two estimates (e.g., two means or two effects).
Author: Zuchao Shen [aut, cre]
Maintainer: Zuchao Shen <zuchao.shen@gmail.com>
Diff between anomo versions 1.2.2 dated 2025-12-10 and 1.3.2 dated 2026-02-04
DESCRIPTION | 8 ++-- MD5 | 16 ++++----- R/mcci.R | 6 +-- R/plot.power.eq.R | 1 R/power.1.eq.R | 17 ++++----- inst/doc/anomo.R | 3 + inst/doc/anomo.Rmd | 3 + inst/doc/anomo.html | 90 ++++++++++++++++++++++++++++------------------------ vignettes/anomo.Rmd | 3 + 9 files changed, 77 insertions(+), 70 deletions(-)
Title: Social Mixing Matrices for Infectious Disease Modelling
Description: Provides methods for sampling contact matrices from diary
data for use in infectious disease modelling, as discussed in Mossong
et al. (2008) <doi:10.1371/journal.pmed.0050074>.
Author: Sebastian Funk [aut, cre],
Lander Willem [aut],
Hugo Gruson [aut],
Nicholas Tierney [aut] ,
Maria Bekker-Nielsen Dunbar [ctb],
Carl A. B. Pearson [ctb],
Sam Clifford [ctb],
Christopher Jarvis [ctb],
Alexis Robert [ctb],
Niel Hens [ctb],
Pietro Colett [...truncated...]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>
Diff between socialmixr versions 0.5.0 dated 2026-01-19 and 0.5.1 dated 2026-02-04
socialmixr-0.5.0/socialmixr/inst/blog-draft-0.5.0.md |only socialmixr-0.5.1/socialmixr/DESCRIPTION | 13 socialmixr-0.5.1/socialmixr/MD5 | 17 socialmixr-0.5.1/socialmixr/NEWS.md | 18 socialmixr-0.5.1/socialmixr/R/load-survey-utils.R | 22 socialmixr-0.5.1/socialmixr/README.md | 4 socialmixr-0.5.1/socialmixr/inst/doc/socialmixr.R | 46 - socialmixr-0.5.1/socialmixr/inst/doc/socialmixr.Rmd | 75 -- socialmixr-0.5.1/socialmixr/inst/doc/socialmixr.html | 575 ++++++++----------- socialmixr-0.5.1/socialmixr/vignettes/socialmixr.Rmd | 75 -- 10 files changed, 379 insertions(+), 466 deletions(-)
Title: Signal Extraction from Panel Data via Bayesian Sparse Regression
and Spectral Decomposition
Description: Provides a comprehensive toolkit for extracting latent signals from
panel data through multivariate time series analysis. Implements spectral
decomposition methods including wavelet multiresolution analysis via maximal
overlap discrete wavelet transform, Percival and Walden (2000)
<doi:10.1017/CBO9780511841040>, empirical mode decomposition for
non-stationary signals, Huang et al. (1998) <doi:10.1098/rspa.1998.0193>,
and Bayesian trend extraction via the Grant-Chan embedded Hodrick-Prescott
filter, Grant and Chan (2017) <doi:10.1016/j.jedc.2016.12.007>. Features
Bayesian variable selection through regularized Horseshoe priors, Piironen
and Vehtari (2017) <doi:10.1214/17-EJS1337SI>, for identifying structurally
relevant predictors from high-dimensional candidate sets. Includes dynamic
factor model estimation, principal component analysis with bootstrap
significance testing, and automated technical interpretation of signal
morphology and variance topology.
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>
Diff between SignalY versions 1.1.0 dated 2026-01-28 and 1.1.1 dated 2026-02-04
DESCRIPTION | 6 MD5 | 22 NAMESPACE | 2 R/horseshoe.R | 895 +++++++++++++++++++++-------------- R/signal_analysis.R | 162 ------ inst/doc/signaly-introduction.html | 4 inst/doc/technical_specs.html | 2 inst/stan/regularized_horseshoe.stan | 285 +++++++---- man/fit_horseshoe.Rd | 172 +----- man/get_horseshoe_stan_code.Rd | 4 man/select_by_credible_interval.Rd |only man/select_by_magnitude.Rd |only man/select_by_shrinkage.Rd | 10 13 files changed, 820 insertions(+), 744 deletions(-)
Title: Two- And Three-Way Dynamic Panel Threshold Regression Model for
Change Point Detection
Description: Estimation of two- and three-way dynamic panel threshold regression models (Di Lascio and Perazzini (2024) <https://repec.unibz.it/bemps104.pdf>; Di Lascio and Perazzini (2022, ISBN:978-88-9193-231-0); Seo and Shin (2016) <doi:10.1016/j.jeconom.2016.03.005>) through the generalized method of moments based on the first difference transformation and the use of instrumental variables. The models can be used to find a change point detection in the time series. In addition, random number generation is also implemented.
Author: Selene Perazzini [aut],
F. Marta L. Di Lascio [aut, cre]
Maintainer: F. Marta L. Di Lascio <marta.dilascio@unibz.it>
Diff between PanelTM versions 1.0 dated 2024-04-22 and 1.1 dated 2026-02-04
ChangeLog | 3 + DESCRIPTION | 8 ++-- MD5 | 12 +++---- NAMESPACE | 3 + R/Internal_functions.R | 81 ++++++++++++++++++++++++++++++++++++++++++++----- R/ptm2.R | 18 +++++++--- R/ptm3.R | 2 - 7 files changed, 101 insertions(+), 26 deletions(-)
Title: Higher-Level Interface of 'torch' Package to Auto-Train Neural
Networks
Description: Provides a higher-level interface to the 'torch' package for defining,
training, and fine-tuning neural networks, including its depth, powered by code generation.
This package currently supports few to several architectures, namely feedforward (multi-layer perceptron)
and recurrent neural networks (Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU)),
while also reduces boilerplate 'torch' code while enabling seamless integration with 'torch'. The model methods
to train neural networks from this package also bridges to titanic ML frameworks in R, namely
'tidymodels' ecosystem, which enables the 'parsnip' model specifications, workflows, recipes,
and tuning tools.
Author: Joshua Marie [aut, cre]
Maintainer: Joshua Marie <joshua.marie.k@gmail.com>
Diff between kindling versions 0.1.0 dated 2026-01-31 and 0.2.0 dated 2026-02-04
kindling-0.1.0/kindling/R/torch_nn_exec.R |only kindling-0.1.0/kindling/man/predict.ffnn_fit.Rd |only kindling-0.1.0/kindling/man/predict.rnn_fit.Rd |only kindling-0.2.0/kindling/DESCRIPTION | 28 kindling-0.2.0/kindling/LICENSE | 4 kindling-0.2.0/kindling/MD5 | 136 - kindling-0.2.0/kindling/NAMESPACE | 165 - kindling-0.2.0/kindling/NEWS.md | 79 kindling-0.2.0/kindling/R/act_fun.R | 2 kindling-0.2.0/kindling/R/check-device.R | 74 kindling-0.2.0/kindling/R/check-optimizer.R | 54 kindling-0.2.0/kindling/R/dials-kindling.R | 64 kindling-0.2.0/kindling/R/grid_depth.R | 832 +++++--- kindling-0.2.0/kindling/R/kindling-package.R | 19 kindling-0.2.0/kindling/R/mlp.R |only kindling-0.2.0/kindling/R/mlp_kindling.R | 147 - kindling-0.2.0/kindling/R/parsnip-helpers.R | 34 kindling-0.2.0/kindling/R/print_nn_exec.R | 58 kindling-0.2.0/kindling/R/register-parsnip.R | 188 + kindling-0.2.0/kindling/R/regularizer.R |only kindling-0.2.0/kindling/R/rnn.R |only kindling-0.2.0/kindling/R/rnn_kindling.R | 144 - kindling-0.2.0/kindling/R/table_summary.R | 640 +++--- kindling-0.2.0/kindling/R/utils.R | 12 kindling-0.2.0/kindling/R/variable_imp.R | 56 kindling-0.2.0/kindling/R/zzz.R | 12 kindling-0.2.0/kindling/README.md | 993 +++++----- kindling-0.2.0/kindling/build/vignette.rds |binary kindling-0.2.0/kindling/inst/CITATION | 30 kindling-0.2.0/kindling/inst/doc/kindling.R | 5 kindling-0.2.0/kindling/inst/doc/kindling.Rmd | 223 +- kindling-0.2.0/kindling/inst/doc/kindling.html | 90 kindling-0.2.0/kindling/inst/doc/similar-packages.R |only kindling-0.2.0/kindling/inst/doc/similar-packages.Rmd |only kindling-0.2.0/kindling/inst/doc/similar-packages.html |only kindling-0.2.0/kindling/inst/examples/tuning.R | 116 - kindling-0.2.0/kindling/inst/examples/var_imp.R | 110 - kindling-0.2.0/kindling/man/act_funs.Rd | 54 kindling-0.2.0/kindling/man/args.Rd | 38 kindling-0.2.0/kindling/man/dials-kindling.Rd | 323 +-- kindling-0.2.0/kindling/man/extract_depth_param.Rd |only kindling-0.2.0/kindling/man/ffnn_impl.Rd |only kindling-0.2.0/kindling/man/figures/README-example-1.png |binary kindling-0.2.0/kindling/man/grid_depth.Rd | 340 +-- kindling-0.2.0/kindling/man/kindling-basemodels.Rd | 340 +-- kindling-0.2.0/kindling/man/kindling-nn-wrappers.Rd | 84 kindling-0.2.0/kindling/man/kindling-varimp.Rd | 242 +- kindling-0.2.0/kindling/man/kindling.Rd | 302 +-- kindling-0.2.0/kindling/man/make_kindling.Rd | 26 kindling-0.2.0/kindling/man/mlp_kindling.Rd | 290 +- kindling-0.2.0/kindling/man/nn_gens.Rd | 422 ++-- kindling-0.2.0/kindling/man/ordinal_gen.Rd | 59 kindling-0.2.0/kindling/man/predict-basemodel.Rd |only kindling-0.2.0/kindling/man/prepare_kindling_args.Rd | 24 kindling-0.2.0/kindling/man/print.ffnn_fit.Rd | 40 kindling-0.2.0/kindling/man/print.rnn_fit.Rd | 40 kindling-0.2.0/kindling/man/reexports.Rd | 40 kindling-0.2.0/kindling/man/rnn_impl.Rd |only kindling-0.2.0/kindling/man/rnn_kindling.Rd | 283 +- kindling-0.2.0/kindling/man/safe_sample.Rd |only kindling-0.2.0/kindling/man/table_summary.Rd | 202 +- kindling-0.2.0/kindling/man/validate_device.Rd | 38 kindling-0.2.0/kindling/tests/testthat.R | 24 kindling-0.2.0/kindling/tests/testthat/test-basemodel-w-optim.R |only kindling-0.2.0/kindling/tests/testthat/test-basemodel.R | 590 ++--- kindling-0.2.0/kindling/tests/testthat/test-edge-cases.R | 254 +- kindling-0.2.0/kindling/tests/testthat/test-mlp-tidymodels-bridge.R | 194 - kindling-0.2.0/kindling/tests/testthat/test-parsnip-integration.R | 334 +-- kindling-0.2.0/kindling/tests/testthat/test-registration.R | 70 kindling-0.2.0/kindling/tests/testthat/test-regularizer.R |only kindling-0.2.0/kindling/tests/testthat/test-rnn-tidymodels-bridge.R | 112 - kindling-0.2.0/kindling/tests/testthat/test-tune-discrete-nhdneurons.R |only kindling-0.2.0/kindling/tests/testthat/test-tune-workflows.R | 818 +++++--- kindling-0.2.0/kindling/tests/testthat/test-variable-imp.R | 278 +- kindling-0.2.0/kindling/tests/testthat/test-workflow-integration.R | 182 - kindling-0.2.0/kindling/tests/testthat/test-yardstick-integration.R | 134 - kindling-0.2.0/kindling/vignettes/kindling.Rmd | 223 +- kindling-0.2.0/kindling/vignettes/similar-packages.Rmd |only 78 files changed, 5812 insertions(+), 4903 deletions(-)
Title: Regression Models for Bounded Continuous and Discrete Responses
Description: Functions to fit regression models for bounded continuous and discrete responses. In case of bounded continuous responses (e.g., proportions and rates), available models are the flexible beta (Migliorati, S., Di Brisco, A. M., Ongaro, A. (2018) <doi:10.1214/17-BA1079>), the variance-inflated beta (Di Brisco, A. M., Migliorati, S., Ongaro, A. (2020) <doi:10.1177/1471082X18821213>), the beta (Ferrari, S.L.P., Cribari-Neto, F. (2004) <doi:10.1080/0266476042000214501>), and their augmented versions to handle the presence of zero/one values (Di Brisco, A. M., Migliorati, S. (2020) <doi:10.1002/sim.8406>) are implemented. In case of bounded discrete responses (e.g., bounded counts, such as the number of successes in n trials), available models are the flexible beta-binomial (Ascari, R., Migliorati, S. (2021) <doi:10.1002/sim.9005>), the beta-binomial, and the binomial are implemented. Inference is dealt with a Bayesian approach based on the Hamiltonian Monte C [...truncated...]
Author: Roberto Ascari [aut, cre],
Agnese M. Di Brisco [aut],
Sonia Migliorati [aut],
Andrea Ongaro [aut]
Maintainer: Roberto Ascari <roberto.ascari@unimib.it>
Diff between FlexReg versions 1.4.1 dated 2025-09-11 and 1.4.2 dated 2026-02-04
DESCRIPTION | 6 MD5 | 21 - R/BetaBin_functions.R | 17 R/Beta_functions.R | 400 ++++++++++---------- R/FBB_functions.R | 30 + R/FB_functions.R | 456 ++++++++++++----------- R/FlexReg-package.R | 2 R/Summaries.R | 1 R/VIB_functions.R | 417 +++++++++++---------- R/flexreg_Augmentation.R | 922 +++++++++++++++++++++++------------------------ inst/CITATION |only man/FlexReg-package.Rd | 2 12 files changed, 1215 insertions(+), 1059 deletions(-)
Title: Canadian Hydrological Analyses
Description: A collection of user-submitted functions to aid in the analysis of hydrological data, particularly for users in Canada. The functions focus on the use of Canadian data sets, and are suited to Canadian hydrology, such as the important cold region hydrological processes and will work with Canadian hydrological models. The functions are grouped into several themes, currently including Statistical hydrology, Basic data manipulations, Visualization, and Spatial hydrology. Functions developed by the Floodnet project are also included. CSHShydRology has been developed with the assistance of the Canadian Society for Hydrological Sciences (CSHS) which is an affiliated society of the Canadian Water Resources Association (CWRA). As of version 1.2.6, functions now fail gracefully when attempting to download data from a url which is unavailable.
Author: Kevin Shook [cre, aut],
Paul Whitfield [aut],
Robert Chlumsky [aut],
Daniel Moore [aut],
Martin Durocher [aut],
Matthew Lemieux [ctb],
Jason Chiang [ctb],
Joel Trubilowicz [ctb],
SJ Kim [ctb]
Maintainer: Kevin Shook <kshook@kshook.ca>
Diff between CSHShydRology versions 1.4.4 dated 2025-11-26 and 1.4.6 dated 2026-02-04
DESCRIPTION | 21 ++++---- MD5 | 23 +++++---- NAMESPACE | 7 ++ NEWS.md | 67 ++++++++++++++++---------- R/ch_catchment_hyps.R | 71 ++++++++++++++-------------- R/ch_flow_raster_trend.R |only R/ch_get_url_data.R | 95 +++++++++++++++++++++++--------------- R/utils.R | 42 ++++++++++++++++ inst/doc/ch_model_hydrograph.html | 14 ++--- man/CSHShydRology-package.Rd | 2 man/ch_catchment_hyps.Rd | 72 +++++++++++++++------------- man/ch_flow_raster_trend.Rd |only man/ch_get_url_data.Rd | 37 ++++++++++---- man/ch_safe_GET.Rd |only 14 files changed, 279 insertions(+), 172 deletions(-)
Title: Cross-Entropy Clustering
Description: Splits data into Gaussian type clusters using the Cross-Entropy
Clustering ('CEC') method. This method allows for the simultaneous use of
various types of Gaussian mixture models, for performing the reduction of
unnecessary clusters, and for discovering new clusters by splitting them.
'CEC' is based on the work of Spurek, P. and Tabor, J. (2014)
<doi:10.1016/j.patcog.2014.03.006>.
Author: Kamieniecki Konrad [aut],
Spurek Przemyslaw [ctb],
Simon Garnier [cre, ctb]
Maintainer: Simon Garnier <garnier@njit.edu>
This is a re-admission after prior archival of version 0.11.2 dated 2024-10-10
Diff between CEC versions 0.11.2 dated 2024-10-10 and 0.11.3 dated 2026-02-04
DESCRIPTION | 13 +++++++------ MD5 | 6 +++--- NEWS.md | 12 ++++++++++++ src/Makevars | 1 - 4 files changed, 22 insertions(+), 10 deletions(-)
Title: Nested Sequential Monte Carlo for the Bayesian Mallows Model
Description: Provides nested sequential Monte Carlo algorithms for performing
sequential inference in the Bayesian Mallows model, which is a widely used
probability model for rank and preference data. The package implements the
SMC2 (Sequential Monte Carlo Squared) algorithm for handling sequentially
arriving rankings and pairwise preferences, including support for complete
rankings, partial rankings, and pairwise comparisons. The methods are based
on Sorensen (2025) <doi:10.1214/25-BA1564>.
Author: Oystein Sorensen [aut, cre]
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>
Diff between BayesMallowsSMC2 versions 0.2.0 dated 2026-02-03 and 0.2.1 dated 2026-02-04
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 6 ++++++ build/partial.rdb |binary tests/testthat/test-compute_sequentially_partial.R | 4 +++- 5 files changed, 16 insertions(+), 8 deletions(-)
More information about BayesMallowsSMC2 at CRAN
Permanent link
Title: Confidentiality of Spatial Point Data
Description: Provides an automatic aggregation tool to manage point data privacy,
intended to be helpful for the production of official spatial data and for researchers.
The package pursues the data accuracy at the smallest possible areas preventing
individual information disclosure. The methodology, based on hierarchical geographic
data structures performs aggregation and local suppression of point data to ensure privacy
as described in Lagonigro, R., Oller, R., Martori J.C. (2017) <doi:10.2436/20.8080.02.55>.
The data structures are created following the guidelines for grid datasets from the
European Forum for Geography and Statistics.
Author: Raymond Lagonigro [aut, cre] ,
Ramon Oller [aut] ,
Joan Carles Martori [aut]
Maintainer: Raymond Lagonigro <raymond.lagonigro@uvic.cat>
Diff between AQuadtree versions 1.0.5 dated 2026-01-13 and 1.0.6 dated 2026-02-04
DESCRIPTION | 10 +++++----- MD5 | 14 +++++++------- NAMESPACE | 6 ++++-- NEWS | 6 ++++++ R/createAQuadtree.R | 11 ++++++----- R/joinAQuadtrees.R | 22 +++++++++++----------- R/pointsToAQuadtree.R | 7 ++++--- inst/doc/AQuadtreeUse.pdf |binary 8 files changed, 43 insertions(+), 33 deletions(-)
Title: Age Band Decomposition Method for Tree Ring Standardization
Description: Implements the Age Band Decomposition (ABD) method for
standardizing tree ring width data while preserving both low and high frequency
variability. Unlike traditional detrending approaches that can distort long term
growth trends, ABD decomposes ring width series into multiple age classes, detrends
each class separately, and then recombines them to create standardized chronologies.
This approach improves the detection of growth signals linked to past climatic and
environmental factors, making it particularly valuable for dendroecological and
dendroclimatological studies. The package provides functions to perform ABD-based
standardization, compare results with other common methods (e.g., BAI, C method, RCS),
and facilitate the interpretation of growth patterns under current and future climate
variability.
Author: Nicola Puletti [aut, cre] ,
Gianluigi Mazza [aut] ,
Dimitrios Sarris [ctb]
Maintainer: Nicola Puletti <nicola.puletti@crea.gov.it>
Diff between AgeBandDecomposition versions 1.0.1 dated 2025-07-28 and 2.0.0 dated 2026-02-04
AgeBandDecomposition-1.0.1/AgeBandDecomposition/data/ABD_test_data1.rda |only AgeBandDecomposition-1.0.1/AgeBandDecomposition/man/ABD_test_data1.Rd |only AgeBandDecomposition-2.0.0/AgeBandDecomposition/DESCRIPTION | 17 - AgeBandDecomposition-2.0.0/AgeBandDecomposition/MD5 | 48 ++-- AgeBandDecomposition-2.0.0/AgeBandDecomposition/NAMESPACE | 3 AgeBandDecomposition-2.0.0/AgeBandDecomposition/NEWS.md |only AgeBandDecomposition-2.0.0/AgeBandDecomposition/R/ABD.R | 42 +-- AgeBandDecomposition-2.0.0/AgeBandDecomposition/R/ABD_test_data.R | 2 AgeBandDecomposition-2.0.0/AgeBandDecomposition/R/TRW_readExcel.R | 103 ++------ AgeBandDecomposition-2.0.0/AgeBandDecomposition/R/import_rwl.R |only AgeBandDecomposition-2.0.0/AgeBandDecomposition/R/plotABD.R | 6 AgeBandDecomposition-2.0.0/AgeBandDecomposition/R/plotBAI.R | 4 AgeBandDecomposition-2.0.0/AgeBandDecomposition/R/plotTRW.R | 4 AgeBandDecomposition-2.0.0/AgeBandDecomposition/R/stdTRW.R | 4 AgeBandDecomposition-2.0.0/AgeBandDecomposition/R/zzz.R | 5 AgeBandDecomposition-2.0.0/AgeBandDecomposition/README.md | 119 +++++++++- AgeBandDecomposition-2.0.0/AgeBandDecomposition/man/ABD.Rd | 46 +-- AgeBandDecomposition-2.0.0/AgeBandDecomposition/man/TRW_readExcel.Rd | 66 ----- AgeBandDecomposition-2.0.0/AgeBandDecomposition/man/figures/fig1_package_workflow.png |only AgeBandDecomposition-2.0.0/AgeBandDecomposition/man/figures/package_workflow.svg | 10 AgeBandDecomposition-2.0.0/AgeBandDecomposition/man/figures/package_workflow_rev1.svg |only AgeBandDecomposition-2.0.0/AgeBandDecomposition/man/figures/plotABD.png |only AgeBandDecomposition-2.0.0/AgeBandDecomposition/man/figures/plotBAI_.png |only AgeBandDecomposition-2.0.0/AgeBandDecomposition/man/figures/plotTRW_.png |only AgeBandDecomposition-2.0.0/AgeBandDecomposition/man/import_rwl.Rd |only AgeBandDecomposition-2.0.0/AgeBandDecomposition/man/inTRW.Rd | 11 AgeBandDecomposition-2.0.0/AgeBandDecomposition/man/plotABD.Rd | 4 AgeBandDecomposition-2.0.0/AgeBandDecomposition/man/plotBAI.Rd | 4 AgeBandDecomposition-2.0.0/AgeBandDecomposition/man/plotTRW.Rd | 4 AgeBandDecomposition-2.0.0/AgeBandDecomposition/man/stdTRW.Rd | 6 30 files changed, 271 insertions(+), 237 deletions(-)
More information about AgeBandDecomposition at CRAN
Permanent link
Title: A Way to Perform Code Review or QA on Other Packages
Description: Reviews other packages during code review by looking at their
dependencies, code style, code complexity, and how internally defined
functions interact with one another.
Author: Maarten van Kessel [aut, cre]
Maintainer: Maarten van Kessel <m.l.vankessel@erasmusmc.nl>
Diff between PaRe versions 0.1.15 dated 2024-12-02 and 0.1.16 dated 2026-02-04
DESCRIPTION | 9 ++- MD5 | 20 ++++---- NEWS.md | 8 +++ R/getDefaultPermittedPackages.R | 44 +++++++++++------- R/lint.R | 2 inst/doc/Documentation.R | 93 ++++++++++++++++++++-------------------- inst/doc/Documentation.Rmd | 9 ++- inst/doc/Documentation.html | 57 ++++++++++-------------- inst/rmd/report.Rmd | 7 --- tests/testthat/setup.R | 27 ++++++----- vignettes/Documentation.Rmd | 9 ++- 11 files changed, 150 insertions(+), 135 deletions(-)
Title: Covariate-Sensitive Analysis of Cross-Sectional High-Dimensional
Data
Description: Using non-parametric tests, naive associations between omics
features and metadata in cross-sectional data-sets are detected. In a second
step, confounding effects between metadata associated to the same omics
feature are detected and labeled using nested post-hoc model comparison
tests, as first described in
Forslund, Chakaroun, Zimmermann-Kogadeeva, et al. (2021) <doi:10.1038/s41586-021-04177-9>.
The generated output can be graphically summarized using the built-in plotting function.
Author: Till Birkner [aut, cre] ,
Sofia Kirke Forslund-Startceva [ctb]
Maintainer: Till Birkner <metadeconf@till-birkner.de>
Diff between metadeconfoundR versions 1.0.2 dated 2024-06-25 and 1.0.5 dated 2026-02-04
metadeconfoundR-1.0.2/metadeconfoundR/R/CheckReducibility_linear.R |only metadeconfoundR-1.0.5/metadeconfoundR/DESCRIPTION | 24 metadeconfoundR-1.0.5/metadeconfoundR/MD5 | 69 - metadeconfoundR-1.0.5/metadeconfoundR/NAMESPACE | 33 metadeconfoundR-1.0.5/metadeconfoundR/NEWS | 58 + metadeconfoundR-1.0.5/metadeconfoundR/R/BuildConfounderMap.R |only metadeconfoundR-1.0.5/metadeconfoundR/R/BuildHeatmap.R | 78 + metadeconfoundR-1.0.5/metadeconfoundR/R/CheckReducibility.R | 364 +++--- metadeconfoundR-1.0.5/metadeconfoundR/R/CheckSufficientPower.R | 45 metadeconfoundR-1.0.5/metadeconfoundR/R/ConditionalR2.R |only metadeconfoundR-1.0.5/metadeconfoundR/R/GetPartialEfSizes.R |only metadeconfoundR-1.0.5/metadeconfoundR/R/ImportLongPrior.R | 1 metadeconfoundR-1.0.5/metadeconfoundR/R/MetaDeconfound.R | 433 ++++--- metadeconfoundR-1.0.5/metadeconfoundR/R/NaiveAssociation.R | 302 +++-- metadeconfoundR-1.0.5/metadeconfoundR/R/VarType.R |only metadeconfoundR-1.0.5/metadeconfoundR/README.md | 18 metadeconfoundR-1.0.5/metadeconfoundR/build/vignette.rds |binary metadeconfoundR-1.0.5/metadeconfoundR/inst/doc/Introduction_To_metadeconfoundR.R | 154 ++ metadeconfoundR-1.0.5/metadeconfoundR/inst/doc/Introduction_To_metadeconfoundR.html | 543 ++++++++-- metadeconfoundR-1.0.5/metadeconfoundR/inst/doc/Introduction_To_metadeconfoundR.rmd | 417 ++++++- metadeconfoundR-1.0.5/metadeconfoundR/man/BuildConfounderMap.Rd |only metadeconfoundR-1.0.5/metadeconfoundR/man/BuildHeatmap.Rd | 24 metadeconfoundR-1.0.5/metadeconfoundR/man/GetPartialEfSizes.Rd |only metadeconfoundR-1.0.5/metadeconfoundR/man/MetaDeconfound.Rd | 38 metadeconfoundR-1.0.5/metadeconfoundR/tests |only metadeconfoundR-1.0.5/metadeconfoundR/vignettes/Introduction_To_metadeconfoundR.rmd | 417 ++++++- 26 files changed, 2205 insertions(+), 813 deletions(-)
More information about metadeconfoundR at CRAN
Permanent link
Title: Gene Set Analysis Using the Gene Set Ordinal Association Test
Description: Perform gene set enrichment analyses using the Gene set Ordinal
Association Test (GOAT) algorithm and visualize your
results. Koopmans, F. (2024) <doi:10.1038/s42003-024-06454-5>.
Author: Frank Koopmans [aut, cre]
Maintainer: Frank Koopmans <ftwkoopmans@gmail.com>
Diff between goat versions 1.1.4 dated 2026-01-24 and 1.1.5 dated 2026-02-04
DESCRIPTION | 8 MD5 | 14 NEWS.md | 4 R/load_genesets_gmtfile.R | 93 ++-- R/load_genesets_go.R | 882 +++++++++++++++++++++++----------------------- R/load_genesets_syngo.R | 158 ++++---- R/simplify_ontology.R | 4 R/simplify_similarity.R | 2 8 files changed, 585 insertions(+), 580 deletions(-)
Title: Modeling Urban Agriculture at City Scale
Description: The purpose of this package is to estimate the potential of urban agriculture to contribute to addressing several urban challenges at the city-scale. Within this aim, we selected 8 indicators directly related to one or several urban challenges. Also, a function is provided to compute new scenarios of urban agriculture. Methods are described by Pueyo-Ros, Comas & Corominas (2023) <doi:10.12688/openreseurope.16054.1>.
Author: Josep Pueyo-Ros [aut, cre] ,
ICRA - Catalan Institute for Water Research [fnd]
Maintainer: Josep Pueyo-Ros <josep.pueyo@udg.edu>
Diff between ediblecity versions 0.2.1 dated 2023-07-16 and 0.2.2 dated 2026-02-04
DESCRIPTION | 19 +-- MD5 | 41 +++--- NEWS.md | 9 + R/edible_utils.R | 2 R/indicator_NO2.R | 22 ++- R/indicator_food.R | 2 R/indicator_green_capita.R | 7 - R/indicator_green_distance.R | 4 R/indicator_heat_island.R | 5 R/indicator_runoff.R | 1 R/indicator_volunteers.R | 2 R/set_scenario.R | 2 R/set_scenario_rationale.R | 6 R/utils-potools.R |only README.md | 46 ++++--- build/vignette.rds |binary data/SVF.rda |binary inst/doc/ediblecity.R | 4 inst/doc/ediblecity.Rmd | 2 inst/doc/ediblecity.html | 169 ++++++++++++++-------------- tests/testthat/test-indicator_heat_island.R | 2 vignettes/ediblecity.Rmd | 2 22 files changed, 192 insertions(+), 155 deletions(-)
Title: A Computational Pipeline for Bulk 'ATAC-Seq' Profiles
Description: Differential analyses and Enrichment pipeline for bulk 'ATAC-seq' data
analyses. This package combines different packages to have an ultimate package
for both data analyses and visualization of 'ATAC-seq' data. Methods are described in
'Karakaslar et al.' (2021) <doi:10.1101/2021.03.05.434143>.
Author: Onur Karakaslar [aut, cre] ,
Duygu Ucar [aut]
Maintainer: Onur Karakaslar <eonurkara@gmail.com>
Diff between cinaR versions 0.2.3 dated 2022-05-18 and 0.2.6 dated 2026-02-04
DESCRIPTION | 32 - MD5 | 36 - NAMESPACE | 7 NEWS.md | 47 + R/cinaR.R | 32 - R/enrichment_functions.R | 37 + R/prep_scATAC.R |only R/prep_scATAC_seurat.R |only R/visualization_functions.R | 9 R/zzz.R |only README.md | 111 +++ build/vignette.rds |binary inst/CITATION |only inst/doc/cinaR.R | 63 +- inst/doc/cinaR.Rmd | 79 ++ inst/doc/cinaR.html | 1117 +++++++++++++++++++++++--------------- man/differentialAnalyses.Rd | 3 man/figures/unnamed-chunk-4-1.png |binary man/figures/unnamed-chunk-5-1.png |binary man/prep_scATAC_cinaR.Rd |only man/prep_scATAC_seurat.Rd |only vignettes/cinaR.Rmd | 79 ++ 22 files changed, 1120 insertions(+), 532 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-12-22 4.1.6
2025-05-28 4.1.5
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-11-23 0.1.4
2020-04-30 0.1.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-04-27 0.0.5
2020-05-18 0.0.4
2017-03-02 0.0.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-09-16 0.1.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-07-07 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-09-27 0.1.19
2018-03-14 0.1.8
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-04-26 0.2.6
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-11-12 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-04-17 0.1.4
2023-03-11 0.1.3
2022-12-09 0.1.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-12-06 1.0.1
2019-11-28 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-12-22 4.0.7
2025-05-28 4.0.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-01-26 0.3.0
2022-03-30 0.2.3
2022-03-25 0.2.2
2022-03-11 0.2.1
2022-02-24 0.2.0
2021-08-03 0.1.0
2021-05-14 0.0.8
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-06-19 0.2.0
2024-04-25 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-02-26 0.2
2020-12-16 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2026-01-27 2.2.11
2026-01-17 2.2.10
2025-12-18 2.2.9
2025-05-23 2.2.2
Title: Search and Retrieve Data from Eurostat Database
Description: Eurostat is the statistical office of the European Union and provides high quality statistics for Europe.
Large set of the data is disseminated through the Eurostat database (<https://ec.europa.eu/eurostat/web/main/data/database>).
The tools are using the REST API with the Statistical Data and Metadata eXchange (SDMX) Web Services
(<https://ec.europa.eu/eurostat/web/user-guides/data-browser/api-data-access/api-detailed-guidelines/sdmx2-1>) to search and download data from
the Eurostat database using the SDMX standard.
Author: Matyas Meszaros [aut, cre],
Sebastian Weinand [ctb]
Maintainer: Matyas Meszaros <matyas.meszaros@ec.europa.eu>
Diff between restatapi versions 0.24.2 dated 2025-01-28 and 0.24.5 dated 2026-02-04
DESCRIPTION | 10 +++--- MD5 | 28 ++++++++--------- NEWS.md | 16 +++++++++- R/create_filter_table.R | 64 +++++++++++++++++++++-------------------- R/get_eurostat_bulk.R | 2 - R/get_eurostat_codelist.R | 2 - R/get_eurostat_data.R | 4 +- R/get_eurostat_raw.R | 2 - R/get_eurostat_toc.R | 11 ++++--- README.md | 7 ++-- inst/tinytest/test_restatapi.R | 4 +- man/get_eurostat_bulk.Rd | 2 - man/get_eurostat_codelist.Rd | 2 - man/get_eurostat_data.Rd | 4 +- man/get_eurostat_raw.Rd | 2 - 15 files changed, 91 insertions(+), 69 deletions(-)
Title: Make 'ggplot2' Graphics Interactive
Description: Create interactive 'ggplot2' graphics using 'htmlwidgets'.
Author: David Gohel [aut, cre],
Panagiotis Skintzos [aut],
Mike Bostock [cph] ,
Speros Kokenes [cph] ,
Eric Shull [cph] ,
Lee Thomason [cph] ,
Vladimir Agafonkin [cph] ,
Eric Book [ctb]
Maintainer: David Gohel <david.gohel@ardata.fr>
Diff between ggiraph versions 0.9.3 dated 2026-01-19 and 0.9.4 dated 2026-02-04
DESCRIPTION | 6 ++--- MD5 | 16 +++++++-------- NEWS.md | 5 ++++ R/girafe_options.R | 7 +++--- inst/htmlwidgets/girafe.css | 44 +++++++++++++++++++++++++++++++++++++++++++ inst/htmlwidgets/girafe.js | 2 - inst/htmlwidgets/girafe.yaml | 2 - man/opts_toolbar.Rd | 5 ++-- man/opts_tooltip.Rd | 2 - 9 files changed, 70 insertions(+), 19 deletions(-)
Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality,
which are not directly provided by R's 'base' or 'stats' packages.
These include e.g. measures like r-squared, intraclass correlation
coefficient (Nakagawa, Johnson & Schielzeth (2017)
<doi:10.1098/rsif.2017.0213>), root mean squared error or functions to
check models for overdispersion, singularity or zero-inflation and
more. Functions apply to a large variety of regression models,
including generalized linear models, mixed effects models and Bayesian
models. References: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.
Author: Daniel Luedecke [aut, cre] ,
Dominique Makowski [aut, ctb] ,
Mattan S. Ben-Shachar [aut, ctb] ,
Indrajeet Patil [aut, ctb] ,
Philip Waggoner [aut, ctb] ,
Brenton M. Wiernik [aut, ctb] ,
Remi Theriault [aut, ctb] ,
Vincent Arel-Bundock [ctb] ,
Martin J [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>
Diff between performance versions 0.15.3 dated 2025-12-01 and 0.16.0 dated 2026-02-04
DESCRIPTION | 10 +- MD5 | 34 ++++---- NEWS.md | 27 ++++++ R/check_convergence.R | 58 +++++-------- R/check_dag.R | 2 R/check_model.R | 127 ++++++++++++++++++++++++------ R/check_predictions.R | 65 +++++++++++---- R/model_performance.psych.R | 18 ++-- inst/WORDLIST | 9 ++ man/check_convergence.Rd | 66 +++++++++++---- man/check_model.Rd | 27 ++++-- man/check_predictions.Rd | 13 ++- man/model_performance.fa.Rd | 8 + tests/testthat/test-check_collinearity.R | 15 +++ tests/testthat/test-check_convergence.R | 7 + tests/testthat/test-check_dag.R | 18 ++++ tests/testthat/test-check_model.R | 5 + tests/testthat/test-compare_performance.R | 101 ++++++++++++++++++++--- 18 files changed, 456 insertions(+), 154 deletions(-)
Title: Cluster Extension for 'mlr3'
Description: Extends the 'mlr3' package with cluster analysis.
Author: Maximilian Muecke [aut, cre] ,
Damir Pulatov [aut],
Michel Lang [aut] ,
Marc Becker [ctb]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>
Diff between mlr3cluster versions 0.1.12 dated 2025-11-19 and 0.2.0 dated 2026-02-04
DESCRIPTION | 30 +-- MD5 | 179 +++++++++--------- NAMESPACE | 3 NEWS.md | 68 +++--- R/LearnerClustAffinityPropagation.R | 12 - R/LearnerClustAgnes.R | 13 - R/LearnerClustBICO.R | 6 R/LearnerClustBIRCH.R | 6 R/LearnerClustCMeans.R | 22 +- R/LearnerClustCobweb.R | 6 R/LearnerClustDBSCAN.R | 8 R/LearnerClustDBSCANfpc.R | 30 +-- R/LearnerClustDiana.R | 13 - R/LearnerClustEM.R | 22 +- R/LearnerClustFanny.R | 29 +- R/LearnerClustFarthestFirst.R | 6 R/LearnerClustFeatureless.R | 9 R/LearnerClustHDBSCAN.R | 8 R/LearnerClustHclust.R | 36 ++- R/LearnerClustKKMeans.R | 8 R/LearnerClustKMeans.R | 14 - R/LearnerClustMclust.R | 23 +- R/LearnerClustMeanShift.R | 27 +- R/LearnerClustMiniBatchKMeans.R | 10 - R/LearnerClustOPTICS.R | 10 - R/LearnerClustPAM.R | 29 +- R/LearnerClustProtoclust.R |only R/LearnerClustSimpleKMeans.R | 6 R/LearnerClustXMeans.R | 8 R/MeasureClustInternal.R | 4 R/PredictionDataClust.R | 2 R/as_prediction_clust.R | 6 R/as_task_clust.R | 4 R/bibentries.R | 10 + R/helper.R | 4 R/zzz.R | 5 README.md | 40 ++-- man/MeasureClust.Rd | 3 man/mlr_learners_clust.MBatchKMeans.Rd | 9 man/mlr_learners_clust.SimpleKMeans.Rd | 7 man/mlr_learners_clust.agnes.Rd | 7 man/mlr_learners_clust.ap.Rd | 7 man/mlr_learners_clust.bico.Rd | 5 man/mlr_learners_clust.birch.Rd | 5 man/mlr_learners_clust.cmeans.Rd | 11 - man/mlr_learners_clust.cobweb.Rd | 5 man/mlr_learners_clust.dbscan.Rd | 7 man/mlr_learners_clust.dbscan_fpc.Rd | 7 man/mlr_learners_clust.diana.Rd | 7 man/mlr_learners_clust.em.Rd | 9 man/mlr_learners_clust.fanny.Rd | 14 - man/mlr_learners_clust.featureless.Rd | 6 man/mlr_learners_clust.ff.Rd | 5 man/mlr_learners_clust.hclust.Rd | 11 - man/mlr_learners_clust.hdbscan.Rd | 7 man/mlr_learners_clust.kkmeans.Rd | 9 man/mlr_learners_clust.kmeans.Rd | 11 - man/mlr_learners_clust.mclust.Rd | 25 +- man/mlr_learners_clust.meanshift.Rd | 22 +- man/mlr_learners_clust.optics.Rd | 7 man/mlr_learners_clust.pam.Rd | 18 + man/mlr_learners_clust.protoclust.Rd |only man/mlr_learners_clust.xmeans.Rd | 9 tests/testthat/helper_expectations.R | 9 tests/testthat/test_LearnerClust.R | 4 tests/testthat/test_MeasureClust.R | 2 tests/testthat/test_PredictionClust.R | 2 tests/testthat/test_mlr_learners_clust_agnes.R | 9 tests/testthat/test_mlr_learners_clust_ap.R | 3 tests/testthat/test_mlr_learners_clust_bico.R | 3 tests/testthat/test_mlr_learners_clust_birch.R | 3 tests/testthat/test_mlr_learners_clust_cmeans.R | 40 ++-- tests/testthat/test_mlr_learners_clust_cobweb.R | 3 tests/testthat/test_mlr_learners_clust_dbscan.R | 3 tests/testthat/test_mlr_learners_clust_dbscan_fpc.R | 3 tests/testthat/test_mlr_learners_clust_diana.R | 9 tests/testthat/test_mlr_learners_clust_em.R | 25 +- tests/testthat/test_mlr_learners_clust_fanny.R | 38 +-- tests/testthat/test_mlr_learners_clust_featureless.R | 3 tests/testthat/test_mlr_learners_clust_ff.R | 3 tests/testthat/test_mlr_learners_clust_hclust.R | 7 tests/testthat/test_mlr_learners_clust_hdbscan.R | 3 tests/testthat/test_mlr_learners_clust_kkmeans.R | 17 - tests/testthat/test_mlr_learners_clust_kmeans.R | 17 - tests/testthat/test_mlr_learners_clust_mbatchkmeans.R | 21 -- tests/testthat/test_mlr_learners_clust_mclust.R | 28 +- tests/testthat/test_mlr_learners_clust_meanshift.R | 7 tests/testthat/test_mlr_learners_clust_optics.R | 3 tests/testthat/test_mlr_learners_clust_pam.R | 3 tests/testthat/test_mlr_learners_clust_protoclust.R |only tests/testthat/test_mlr_learners_clust_simplekmeans.R | 3 tests/testthat/test_mlr_learners_clust_xmeans.R | 3 92 files changed, 673 insertions(+), 550 deletions(-)
Title: Meta Analysis Instrumental Variable Estimator
Description: Meta-analysis traditionally assigns more weight to studies with lower standard errors,
assuming higher precision. However, in observational research, precision must be
estimated and is vulnerable to manipulation, such as p-hacking, to achieve statistical
significance. This can lead to spurious precision, invalidating inverse-variance
weighting and bias-correction methods like funnel plots. Common methods for addressing
publication bias, including selection models, often fail or exacerbate the problem.
This package introduces an instrumental variable approach to limit bias caused by
spurious precision in meta-analysis. Methods are described in 'Irsova et al.' (2025)
<doi:10.1038/s41467-025-63261-0>.
Author: Zuzana Irsova [aut] ,
Pedro R. D. Bom [aut] ,
Tomas Havranek [aut] ,
Heiko Rachinger [aut] ,
Petr Cala [aut, cre]
Maintainer: Petr Cala <cala.p@seznam.cz>
Diff between MAIVE versions 0.1.11 dated 2025-12-18 and 0.2.4 dated 2026-02-04
DESCRIPTION | 8 MD5 | 43 ++- NAMESPACE | 1 NEWS.md | 101 ++++++++ R/ar.r | 65 ++++- R/funnel_plot.r |only R/maivefunction.r | 353 ++++++++++++++++--------------- R/validation.r |only README.md | 13 - build/vignette.rds |binary inst/CITATION |only inst/doc/funnel-plot.R |only inst/doc/funnel-plot.Rmd |only inst/doc/funnel-plot.html |only inst/doc/introduction.R | 22 + inst/doc/introduction.Rmd | 61 ++++- inst/doc/introduction.html | 362 +++++++++++++++++--------------- man/get_funnel_plot.Rd |only man/maive.Rd | 29 ++ man/maive_funnel_plot_helpers.Rd |only man/waive.Rd | 51 +++- tests/testthat/test-ar-ci.R | 100 ++++++++ tests/testthat/test-funnel-plot.R |only tests/testthat/test-maive_first_stage.R | 4 tests/testthat/test-study-weights.R | 2 tests/testthat/test-validation.R |only vignettes/funnel-plot.Rmd |only vignettes/introduction.Rmd | 61 ++++- 28 files changed, 871 insertions(+), 405 deletions(-)
Title: Exploratory Factor Analysis Functions for Assessing
Dimensionality
Description: Functions for eleven procedures for determining the number of
factors, including functions for parallel analysis and the minimum average partial
test. There are also functions for conducting principal components analysis, principal
axis factor analysis, maximum likelihood factor analysis, image factor analysis,
and extension factor analysis, all of which can take raw data or correlation matrices
as input and with options for conducting the analyses using Pearson correlations,
Kendall correlations, Spearman correlations, gamma correlations, or polychoric
correlations. Varimax rotation, promax rotation, and Procrustes rotations can be
performed. Additional functions focus on the factorability of a correlation matrix,
the congruences between factors from different datasets, the assessment of local
independence, the assessment of factor solution complexity, internal consistency,
and for correcting Pearson correlation coefficients for attenuation due to
unreliability.
Auerswald & Moshag [...truncated...]
Author: Brian P. O'Connor [aut, cre]
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>
Diff between EFA.dimensions versions 0.1.8.4 dated 2024-06-06 and 0.1.8.6 dated 2026-02-04
EFA.dimensions-0.1.8.4/EFA.dimensions/R/boc.R |only EFA.dimensions-0.1.8.4/EFA.dimensions/man/INTERNAL.CONSISTENCY.Rd |only EFA.dimensions-0.1.8.6/EFA.dimensions/DESCRIPTION | 12 EFA.dimensions-0.1.8.6/EFA.dimensions/MD5 | 62 EFA.dimensions-0.1.8.6/EFA.dimensions/NAMESPACE | 14 EFA.dimensions-0.1.8.6/EFA.dimensions/R/CONGRUENCE.R | 213 +- EFA.dimensions-0.1.8.6/EFA.dimensions/R/CORRECTED_CORRELS.R |only EFA.dimensions-0.1.8.6/EFA.dimensions/R/DIMTESTS.R | 197 -- EFA.dimensions-0.1.8.6/EFA.dimensions/R/EFA.R | 697 ++++----- EFA.dimensions-0.1.8.6/EFA.dimensions/R/EFA_SCORES.R | 418 ++--- EFA.dimensions-0.1.8.6/EFA.dimensions/R/EMPKC.R | 92 - EFA.dimensions-0.1.8.6/EFA.dimensions/R/EXTENSION_FA.R | 747 ++++------ EFA.dimensions-0.1.8.6/EFA.dimensions/R/FACTORABILITY.R | 172 +- EFA.dimensions-0.1.8.6/EFA.dimensions/R/INTERNAL.CONSISTENCY.R | 15 EFA.dimensions-0.1.8.6/EFA.dimensions/R/LOCALDEP.R | 280 +-- EFA.dimensions-0.1.8.6/EFA.dimensions/R/MAP.R | 195 +- EFA.dimensions-0.1.8.6/EFA.dimensions/R/NEVALSGT1.R | 84 - EFA.dimensions-0.1.8.6/EFA.dimensions/R/PARALLEL.R | 106 - EFA.dimensions-0.1.8.6/EFA.dimensions/R/PCA.R | 465 +++--- EFA.dimensions-0.1.8.6/EFA.dimensions/R/POLYCHORIC_R.R | 183 -- EFA.dimensions-0.1.8.6/EFA.dimensions/R/PROCRUSTES.R | 124 - EFA.dimensions-0.1.8.6/EFA.dimensions/R/RAWPAR.R | 250 +-- EFA.dimensions-0.1.8.6/EFA.dimensions/R/RECODE.R | 9 EFA.dimensions-0.1.8.6/EFA.dimensions/R/ROOTFIT.R | 225 +-- EFA.dimensions-0.1.8.6/EFA.dimensions/R/SALIENT.R | 317 ++-- EFA.dimensions-0.1.8.6/EFA.dimensions/R/SCREE_PLOT.R | 71 EFA.dimensions-0.1.8.6/EFA.dimensions/R/SESCREE.R | 91 - EFA.dimensions-0.1.8.6/EFA.dimensions/R/SMT.R | 230 --- EFA.dimensions-0.1.8.6/EFA.dimensions/R/utilities_boc.R |only EFA.dimensions-0.1.8.6/EFA.dimensions/man/CONGRUENCE.Rd | 1 EFA.dimensions-0.1.8.6/EFA.dimensions/man/CORRECTED_CORRELS.Rd |only EFA.dimensions-0.1.8.6/EFA.dimensions/man/EFA.dimensions-package.Rd | 4 EFA.dimensions-0.1.8.6/EFA.dimensions/man/INTERNAL_CONSISTENCY.Rd |only EFA.dimensions-0.1.8.6/EFA.dimensions/man/PARALLEL.Rd | 2 EFA.dimensions-0.1.8.6/EFA.dimensions/man/RAWPAR.Rd | 8 35 files changed, 2553 insertions(+), 2731 deletions(-)
More information about EFA.dimensions at CRAN
Permanent link
Title: Join Gridded Weather Data to Event Tables
Description: High-level tools to attach gridded weather data from the NASA POWER Project
to event-based datasets. The package plans efficient spatio-temporal API calls via the 'nasapower'
R package, caches downloaded segments locally, and joins weather variables back to the input
table using exact or rolling joins. This package is not affiliated with or endorsed by NASA.
Author: Przemek Dolowy [aut, cre]
Maintainer: Przemek Dolowy <pdolowy@harper-adams.ac.uk>
Diff between weatherjoin versions 0.2.0 dated 2026-01-29 and 0.2.2 dated 2026-02-04
DESCRIPTION | 6 +++--- MD5 | 11 ++++++----- NEWS.md |only R/cache_helpers.R | 28 +++++++++++++++++++++++----- R/utils.R | 6 ++++++ man/dot-validate_single_time.Rd | 4 ++-- man/weatherjoin-package.Rd | 2 +- 7 files changed, 41 insertions(+), 16 deletions(-)
Title: Plotting Functions for Climate Science and Services
Description: A plotting package for climate science and services. Provides a set
of functions for visualizing climate data, including maps, time series,
scorecards and other diagnostics. Some functions are adapted and extended
from the 's2dv' and 'CSTools' packages (Manubens et al. (2018)
<doi:10.1016/j.envsoft.2018.01.018>; Pérez-Zanón et al. (2022)
<doi:10.5194/gmd-15-6115-2022>), with more consistent and integrated
functionalities.
Author: BSC-CNS [aut, cph],
An-Chi Ho [aut],
Eva Rifa [ctb],
Victoria Agudetse [ctb],
Ariadna Batalla [ctb, cre],
Nuria Perez-Zanon [ctb],
Nadia Milders [ctb],
Veronica Torralba [ctb],
Raul Capellan [ctb],
Anindita Patra [ctb]
Maintainer: Ariadna Batalla <ariadna.batalla@bsc.es>
Diff between esviz versions 0.0.1 dated 2026-01-08 and 0.0.2 dated 2026-02-04
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NAMESPACE | 2 +- NEWS.md | 4 ++++ R/BarPlotCat.R | 7 ++++--- 5 files changed, 17 insertions(+), 12 deletions(-)
Title: Analysing Prognostic Studies
Description: Functions that help with analysis of prognostic study data. This allows users with little experience of developing models to develop models and assess the performance of the prognostic models. This also summarises the information, so the performance of multiple models can be displayed simultaneously. This minor update fixes issues related to memory requirements with large number of simulations and deals with situations when there is overfitting of data. Gurusamy, K (2026)<https://github.com/kurinchi2k/EQUALPrognosis>.
Author: Kurinchi Gurusamy [aut, cre]
Maintainer: Kurinchi Gurusamy <k.gurusamy@ucl.ac.uk>
Diff between EQUALPrognosis versions 0.1.0 dated 2026-01-28 and 0.1.2 dated 2026-02-04
DESCRIPTION | 10 MD5 | 8 R/calculate_actual_predicted.R | 281 ++++++++++++---------- R/perform_analysis.R | 522 ++++++++++++++++++++++++----------------- man/process_data.Rd | 2 5 files changed, 483 insertions(+), 340 deletions(-)
More information about EQUALPrognosis at CRAN
Permanent link
Title: Explore 'Wikidata' Through Tidy Data Frames
Description: Query 'Wikidata' API <https://www.wikidata.org/wiki/Wikidata:Main_Page> with ease, get tidy data frames in response, and cache data in a local database.
Author: Giorgio Comai [aut, cre, cph] ,
EDJNet [fnd]
Maintainer: Giorgio Comai <giorgio.comai@cci.tn.it>
Diff between tidywikidatar versions 0.5.9 dated 2024-07-29 and 0.6.0 dated 2026-02-04
tidywikidatar-0.5.9/tidywikidatar/R/tw_get_property_label_description.R |only tidywikidatar-0.6.0/tidywikidatar/DESCRIPTION | 15 tidywikidatar-0.6.0/tidywikidatar/MD5 | 271 ++-- tidywikidatar-0.6.0/tidywikidatar/NAMESPACE | 2 tidywikidatar-0.6.0/tidywikidatar/NEWS.md | 23 tidywikidatar-0.6.0/tidywikidatar/R/tw_cache_indexing.R | 169 +-- tidywikidatar-0.6.0/tidywikidatar/R/tw_caching.R | 170 ++- tidywikidatar-0.6.0/tidywikidatar/R/tw_check.R | 48 tidywikidatar-0.6.0/tidywikidatar/R/tw_check_pid.R | 33 tidywikidatar-0.6.0/tidywikidatar/R/tw_check_qid.R | 23 tidywikidatar-0.6.0/tidywikidatar/R/tw_connect_to_cache.R | 30 tidywikidatar-0.6.0/tidywikidatar/R/tw_extract.R | 135 +- tidywikidatar-0.6.0/tidywikidatar/R/tw_filter.R | 145 +- tidywikidatar-0.6.0/tidywikidatar/R/tw_get.R | 218 ++- tidywikidatar-0.6.0/tidywikidatar/R/tw_get_all_with_p.R | 69 - tidywikidatar-0.6.0/tidywikidatar/R/tw_get_cached_item.R | 108 - tidywikidatar-0.6.0/tidywikidatar/R/tw_get_cached_search.R | 37 tidywikidatar-0.6.0/tidywikidatar/R/tw_get_field.R | 36 tidywikidatar-0.6.0/tidywikidatar/R/tw_get_image.R | 556 +++++----- tidywikidatar-0.6.0/tidywikidatar/R/tw_get_others.R | 126 +- tidywikidatar-0.6.0/tidywikidatar/R/tw_get_p_wide.R | 200 +-- tidywikidatar-0.6.0/tidywikidatar/R/tw_get_property.R | 292 +++-- tidywikidatar-0.6.0/tidywikidatar/R/tw_get_property_description.R |only tidywikidatar-0.6.0/tidywikidatar/R/tw_get_property_label.R |only tidywikidatar-0.6.0/tidywikidatar/R/tw_get_property_with_details.R | 59 - tidywikidatar-0.6.0/tidywikidatar/R/tw_get_qualifiers.R | 262 ++-- tidywikidatar-0.6.0/tidywikidatar/R/tw_get_wikipedia_category_members.R | 180 +-- tidywikidatar-0.6.0/tidywikidatar/R/tw_get_wikipedia_page_links.R | 246 ++-- tidywikidatar-0.6.0/tidywikidatar/R/tw_get_wikipedia_page_qid.R | 291 ++--- tidywikidatar-0.6.0/tidywikidatar/R/tw_get_wikipedia_page_section_links.R | 91 - tidywikidatar-0.6.0/tidywikidatar/R/tw_get_wikipedia_page_sections.R | 236 ++-- tidywikidatar-0.6.0/tidywikidatar/R/tw_label.R | 58 - tidywikidatar-0.6.0/tidywikidatar/R/tw_query.R | 71 - tidywikidatar-0.6.0/tidywikidatar/R/tw_search.R | 282 +++-- tidywikidatar-0.6.0/tidywikidatar/R/tw_user_agent_settings.R |only tidywikidatar-0.6.0/tidywikidatar/R/tw_write_item_to_cache.R | 37 tidywikidatar-0.6.0/tidywikidatar/R/tw_write_search_to_cache.R | 35 tidywikidatar-0.6.0/tidywikidatar/README.md | 319 ++--- tidywikidatar-0.6.0/tidywikidatar/build/vignette.rds |binary tidywikidatar-0.6.0/tidywikidatar/inst/WORDLIST | 54 tidywikidatar-0.6.0/tidywikidatar/inst/doc/caching.R | 78 - 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Title: Unbiased Distances for Mixed-Type Data
Description: A comprehensive framework for calculating unbiased distances in datasets
containing mixed-type variables (numerical and categorical). The package implements
a general formulation that ensures multivariate additivity and commensurability,
meaning that variables contribute equally to the overall distance regardless of
their type, scale, or distribution. Supports multiple distance measures including
Gower's distance, Euclidean distance, Manhattan distance, and various categorical
variable distances such as simple matching, Eskin, occurrence frequency, and
association-based distances. Provides tools for variable scaling (standard
deviation, range, robust range, and principal component scaling), and handles
both independent and association-based category dissimilarities. Implements
methods to correct for biases that typically arise from different variable types,
distributions, and number of categories. Particularly useful for cluster analysis,
data visualization, and other distance-based me [...truncated...]
Author: Alfonso Iodice D'Enza [aut],
Angelos Markos [aut, cre],
Michel van de Velden [aut],
Carlo Cavicchia [aut]
Maintainer: Angelos Markos <amarkos@gmail.com>
Diff between manydist versions 0.4.8 dated 2025-07-18 and 0.4.9 dated 2026-02-04
DESCRIPTION | 6 - MD5 | 20 +-- NAMESPACE | 6 - R/cat_delta.R | 2 R/cdist.R | 30 +++++ R/mdist.R | 314 +++++++++++++++++++++++++++++++-------------------------- R/ndist.R | 242 +++++++++++++++++++++++++------------------ man/cdist.Rd | 2 man/fifa_nl.Rd | 2 man/mdist.Rd | 5 man/ndist.Rd | 2 11 files changed, 363 insertions(+), 268 deletions(-)
Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent
access to information contained in various R models, like model
formulas, model terms, information about random effects, data that was
used to fit the model or data from response variables. 'insight'
mainly revolves around two types of functions: Functions that find
(the names of) information, starting with 'find_', and functions that
get the underlying data, starting with 'get_'. The package has a
consistent syntax and works with many different model objects, where
otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] ,
Dominique Makowski [aut, ctb] ,
Indrajeet Patil [aut, ctb] ,
Philip Waggoner [aut, ctb] ,
Mattan S. Ben-Shachar [aut, ctb] ,
Brenton M. Wiernik [aut, ctb] ,
Vincent Arel-Bundock [aut, ctb] ,
Etienne Bacher [aut, ctb] ,
Ale [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>
Diff between insight versions 1.4.5 dated 2026-01-26 and 1.4.6 dated 2026-02-04
DESCRIPTION | 23 + MD5 | 24 +- NEWS.md | 7 R/check_if_installed.R | 2 R/get_datagrid.R | 2 R/get_loglikelihood.R | 7 R/get_residuals.R | 17 + inst/doc/display.html | 370 ++++++++++++++++---------------- man/check_if_installed.Rd | 2 tests/testthat/test-get_loglikelihood.R | 13 + tests/testthat/test-get_residuals.R | 7 tests/testthat/test-glmgee.R | 2 tests/testthat/test-panelr-asym.R |only tests/testthat/test-panelr.R |only 14 files changed, 258 insertions(+), 218 deletions(-)
Title: Translate Words or Sentences via Online Translators
Description: Useful functions to translate text for multiple languages using online translators.
For example, by translating error messages and descriptive analysis results into a language familiar
to the user, it enables a better understanding of the information, thereby reducing the barriers caused by language.
It offers several helper functions to query gene information to help interpretation of interested genes (e.g., marker genes, differential expression genes),
and provides utilities to translate 'ggplot' graphics. This package is not affiliated with any of the online translators.
The developers do not take responsibility for the invoice it incurs when using this package, especially for exceeding the free quota.
Author: Guangchuang Yu [aut, cre, cph] ,
Guannan Chen [ctb],
Difei Wang [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Diff between fanyi versions 0.1.0 dated 2026-01-18 and 0.1.1 dated 2026-02-04
DESCRIPTION | 6 +++--- MD5 | 6 +++--- NEWS.md | 4 ++++ R/deepseek.r | 2 +- 4 files changed, 11 insertions(+), 7 deletions(-)
Title: Treatment Effect Estimation for Time-to-Event Data with
Intercurrent Events
Description: Analysis of treatment effects in clinical trials with time-to-event outcomes is complicated by intercurrent events. This package implements methods for estimating and inferring the cumulative incidence functions for time-to-event (TTE) outcomes with intercurrent events (ICE) under the five strategies outlined in the ICH E9 (R1) addendum, see Deng (2025) <doi:10.1002/sim.70091>. This package can be used for analyzing data from both randomized controlled trials and observational studies. In general, the data involve a primary outcome event and, potentially, an intercurrent event. Two data structures are allowed: competing risks, where only the time to the first event is recorded, and semicompeting risks, where the times to both the primary outcome event and intercurrent event (or censoring) are recorded. For estimation methods, users can choose nonparametric estimation (which does not use covariates) and semiparametrically efficient estimation.
Author: Yuhao Deng [aut],
Yi Zhou [cre]
Maintainer: Yi Zhou <yzhou@pku.edu.cn>
Diff between tteICE versions 1.1.0 dated 2026-02-02 and 1.1.1 dated 2026-02-04
tteICE-1.1.0/tteICE/inst/tteICS.pdf |only tteICE-1.1.1/tteICE/DESCRIPTION | 6 tteICE-1.1.1/tteICE/MD5 | 13 - tteICE-1.1.1/tteICE/R/scr_tteICE.R | 30 +-- tteICE-1.1.1/tteICE/R/surv_boot.R | 156 ++++++++-------- tteICE-1.1.1/tteICE/R/surv_tteICE.R | 332 ++++++++++++++++++------------------ tteICE-1.1.1/tteICE/inst/WORDLIST | 7 tteICE-1.1.1/tteICE/inst/tteICE.pdf |binary 8 files changed, 277 insertions(+), 267 deletions(-)
Title: Small Area Estimation Using Model-Assisted Projection Method
Description: Combines information from two independent surveys using a model-assisted projection method. Designed for survey sampling scenarios where a large sample collects only auxiliary information (Survey 1) and a smaller sample provides data on both variables of interest and auxiliary variables (Survey 2). Implements a working model to generate synthetic values of the variable of interest by fitting the model to Survey 2 data and predicting values for Survey 1 based on its auxiliary variables (Kim & Rao, 2012) <doi:10.1093/biomet/asr063>.
Author: Ridson Al Farizal P [aut, cre, cph] ,
Azka Ubaidillah [aut] ,
Silvi Ajeng Larasati [aut],
Amelia Rahayu [aut]
Maintainer: Ridson Al Farizal P <ridsonalfarizal15@gmail.com>
This is a re-admission after prior archival of version 0.1.4 dated 2025-07-06
Diff between sae.projection versions 0.1.4 dated 2025-07-06 and 0.1.5 dated 2026-02-04
sae.projection-0.1.4/sae.projection/R/projection_xgboost.R |only sae.projection-0.1.4/sae.projection/man/projection_xgboost.Rd |only sae.projection-0.1.5/sae.projection/DESCRIPTION | 14 +++++----- sae.projection-0.1.5/sae.projection/MD5 | 13 ++++----- sae.projection-0.1.5/sae.projection/NAMESPACE | 6 ---- sae.projection-0.1.5/sae.projection/R/ma_projection.R | 8 +++-- sae.projection-0.1.5/sae.projection/inst/WORDLIST |only sae.projection-0.1.5/sae.projection/inst/doc/ma_projection.html | 4 +- sae.projection-0.1.5/sae.projection/man/ma_projection.Rd | 10 +++---- 9 files changed, 25 insertions(+), 30 deletions(-)
More information about sae.projection at CRAN
Permanent link
Title: Haplotype-Aware CNV Analysis from scRNA-Seq
Description: A computational method that infers copy number variations (CNVs) in cancer scRNA-seq data and reconstructs the tumor phylogeny. 'numbat' integrates signals from gene expression, allelic ratio, and population haplotype structures to accurately infer allele-specific CNVs in single cells and reconstruct their lineage relationship. 'numbat' can be used to: 1. detect allele-specific copy number variations from single-cells; 2. differentiate tumor versus normal cells in the tumor microenvironment; 3. infer the clonal architecture and evolutionary history of profiled tumors. 'numbat' does not require tumor/normal-paired DNA or genotype data, but operates solely on the donor scRNA-data data (for example, 10x Cell Ranger output). Additional examples and documentations are available at <https://kharchenkolab.github.io/numbat/>. For details on the method please see Gao et al. Nature Biotechnology (2022) <doi:10.1038/s41587-022-01468-y>.
Author: Teng Gao [cre, aut],
Ruslan Soldatov [aut],
Hirak Sarkar [aut],
Evan Biederstedt [aut],
Peter Kharchenko [aut]
Maintainer: Teng Gao <tgaoteng@gmail.com>
This is a re-admission after prior archival of version 1.5.1 dated 2025-10-21
Diff between numbat versions 1.5.1 dated 2025-10-21 and 1.5.2 dated 2026-02-04
DESCRIPTION | 10 +++++----- MD5 | 12 ++++++------ NEWS.md | 10 ++++++++++ R/diagnostics.R | 6 +++++- R/main.R | 2 +- R/utils.R | 4 ++-- README.md | 1 + 7 files changed, 30 insertions(+), 15 deletions(-)
Title: Make Dealing with Dates a Little Easier
Description: Functions to work with date-times and time-spans: fast and
user friendly parsing of date-time data, extraction and updating of
components of a date-time (years, months, days, hours, minutes, and
seconds), algebraic manipulation on date-time and time-span objects.
The 'lubridate' package has a consistent and memorable syntax that
makes working with dates easy and fun.
Author: Vitalie Spinu [aut, cre],
Garrett Grolemund [aut],
Hadley Wickham [aut],
Davis Vaughan [ctb],
Ian Lyttle [ctb],
Imanuel Costigan [ctb],
Jason Law [ctb],
Doug Mitarotonda [ctb],
Joseph Larmarange [ctb],
Jonathan Boiser [ctb],
Chel Hee Lee [ctb]
Maintainer: Vitalie Spinu <spinuvit@gmail.com>
Diff between lubridate versions 1.9.4 dated 2024-12-08 and 1.9.5 dated 2026-02-04
DESCRIPTION | 14 ++-- LICENSE |only MD5 | 33 ++++----- NEWS.md | 9 ++ R/instants.r | 6 - R/leap-years.r | 8 +- R/round.r | 2 R/stamp.r | 2 R/util.r | 8 +- README.md | 138 ++++++++++++++++++++-------------------- build/vignette.rds |binary inst/doc/lubridate.html | 5 - man/leap_year.Rd | 6 - src/init.c | 2 src/utils.c | 21 ++++++ tests/testthat/test-guess.R | 6 - tests/testthat/test-intervals.R | 2 tests/testthat/test-utilities.R | 4 + 18 files changed, 153 insertions(+), 113 deletions(-)
Title: Latent Space Item Response Model
Description: Analysis of dichotomous, ordinal, and continuous response data using latent space item response models (LSIRMs). Provides 1PL and 2PL LSIRMs for binary response data as described in Jeon et al. (2021) <doi:10.1007/s11336-021-09762-5>, extensions for continuous response data, and graded response models (GRM) for Likert-scale ordinal data as described in De Carolis et al. (2025) <doi:10.1080/00273171.2025.2605678>. Supports Bayesian model selection with spike-and-slab priors, adaptive MCMC algorithms, and methods for handling missing data under missing at random (MAR) and missing completely at random (MCAR) assumptions. Provides various diagnostic plots to inspect the latent space and summaries of estimated parameters.
Author: Dongyoung Go [aut],
Gwanghee Kim [aut, cre],
Jina Park [aut],
Ickhoon Jin [ctb],
Minjeong Jeon [ctb]
Maintainer: Gwanghee Kim <musagh08@yonsei.ac.kr>
Diff between lsirm12pl versions 1.3.9 dated 2025-10-22 and 2.0.0 dated 2026-02-04
DESCRIPTION | 14 MD5 | 208 NAMESPACE | 14 NEWS.md |only R/RcppExports.R | 218 R/diagnostic.lsirm.R | 601 +- R/gof.lsirm.R | 146 R/lsirm.R | 105 R/lsirm12pl-package.R | 4 R/lsirm1pl_fixed_gamma.R | 9 R/lsirm1pl_fixed_gamma_mar.R | 1 R/lsirm1pl_fixed_gamma_mcar.R | 3 R/lsirm1pl_mar.R | 30 R/lsirm1pl_mar_ss.R | 21 R/lsirm1pl_mcar.R | 20 R/lsirm1pl_mcar_ss.R | 19 R/lsirm1pl_normal_fixed_gamma.R | 7 R/lsirm1pl_normal_fixed_gamma_mar.R | 1 R/lsirm1pl_normal_fixed_gamma_mcar.R | 4 R/lsirm1pl_normal_mar.R | 43 R/lsirm1pl_normal_mar_ss.R | 35 R/lsirm1pl_normal_mcar.R | 20 R/lsirm1pl_normal_mcar_ss.R | 18 R/lsirm1pl_normal_o.R | 14 R/lsirm1pl_normal_ss.R | 6 R/lsirm1pl_o.R | 32 R/lsirm1pl_ss.R | 11 R/lsirm2pl_fixed_gamma.R | 13 R/lsirm2pl_fixed_gamma_mar.R | 12 R/lsirm2pl_fixed_gamma_mcar.R | 14 R/lsirm2pl_mar.R | 26 R/lsirm2pl_mar_ss.R | 20 R/lsirm2pl_mcar.R | 17 R/lsirm2pl_mcar_ss.R | 11 R/lsirm2pl_normal_fixed_gamma.R | 2 R/lsirm2pl_normal_fixed_gamma_mar.R | 3 R/lsirm2pl_normal_fixed_gamma_mcar.R | 5 R/lsirm2pl_normal_mar.R | 49 R/lsirm2pl_normal_mar_ss.R | 29 R/lsirm2pl_normal_mcar.R | 20 R/lsirm2pl_normal_mcar_ss.R | 20 R/lsirm2pl_normal_o.R | 16 R/lsirm2pl_normal_ss.R | 8 R/lsirm2pl_o.R | 32 R/lsirm2pl_ss.R | 15 R/lsirmgrm.R |only R/lsirmgrm2pl.R |only R/lsirmgrm2pl_fixed_gamma.R |only R/lsirmgrm2pl_mar.R |only R/lsirmgrm2pl_mcar.R |only R/lsirmgrm2pl_ss.R |only R/lsirmgrm_fixed_gamma.R |only R/lsirmgrm_mar.R |only R/lsirmgrm_mcar.R |only R/lsirmgrm_ss.R |only R/plot.lsirm.R | 44 R/print.summary.lsirm.R | 73 R/summary.lsirm.R | 73 R/zzz.R |only build |only man/lsirm.Rd | 22 man/lsirm.formula.Rd | 2 man/lsirm12pl.Rd | 2 man/lsirm1pl.Rd | 31 man/lsirm1pl_fixed_gamma.Rd | 6 man/lsirm1pl_fixed_gamma_mar.Rd | 6 man/lsirm1pl_fixed_gamma_mcar.Rd | 6 man/lsirm1pl_mar.Rd | 12 man/lsirm1pl_mar_ss.Rd | 8 man/lsirm1pl_mcar.Rd | 12 man/lsirm1pl_mcar_ss.Rd | 8 man/lsirm1pl_normal_fixed_gamma.Rd | 6 man/lsirm1pl_normal_fixed_gamma_mar.Rd | 6 man/lsirm1pl_normal_fixed_gamma_mcar.Rd | 6 man/lsirm1pl_normal_mar.Rd | 14 man/lsirm1pl_normal_mar_ss.Rd | 8 man/lsirm1pl_normal_mcar.Rd | 10 man/lsirm1pl_normal_mcar_ss.Rd | 8 man/lsirm1pl_normal_o.Rd | 10 man/lsirm1pl_normal_ss.Rd | 8 man/lsirm1pl_o.Rd | 28 man/lsirm1pl_ss.Rd | 8 man/lsirm2pl.Rd | 35 man/lsirm2pl_fixed_gamma.Rd | 10 man/lsirm2pl_fixed_gamma_mar.Rd | 16 man/lsirm2pl_fixed_gamma_mcar.Rd | 16 man/lsirm2pl_mar.Rd | 16 man/lsirm2pl_mar_ss.Rd | 12 man/lsirm2pl_mcar.Rd | 16 man/lsirm2pl_mcar_ss.Rd | 12 man/lsirm2pl_normal_fixed_gamma.Rd | 10 man/lsirm2pl_normal_fixed_gamma_mar.Rd | 10 man/lsirm2pl_normal_fixed_gamma_mcar.Rd | 10 man/lsirm2pl_normal_mar.Rd | 20 man/lsirm2pl_normal_mar_ss.Rd | 12 man/lsirm2pl_normal_mcar.Rd | 14 man/lsirm2pl_normal_mcar_ss.Rd | 12 man/lsirm2pl_normal_o.Rd | 16 man/lsirm2pl_normal_ss.Rd | 12 man/lsirm2pl_o.Rd | 32 man/lsirm2pl_ss.Rd | 12 man/lsirmgrm.Rd |only man/lsirmgrm2pl.Rd |only man/lsirmgrm2pl_fixed_gamma.Rd |only man/lsirmgrm2pl_mar.Rd |only man/lsirmgrm2pl_mcar.Rd |only man/lsirmgrm2pl_o.Rd |only man/lsirmgrm2pl_ss.Rd |only man/lsirmgrm_fixed_gamma.Rd |only man/lsirmgrm_mar.Rd |only man/lsirmgrm_mcar.Rd |only man/lsirmgrm_o.Rd |only man/lsirmgrm_ss.Rd |only src/RcppExports.cpp | 1067 +++- src/lsirm1pl.cpp | 7676 ++++------------------------- src/lsirm2pl.cpp | 8431 ++++---------------------------- src/lsirm_grm.cpp |only src/utility_cpp.cpp | 140 118 files changed, 4978 insertions(+), 14962 deletions(-)
Title: R at the Command-Line via 'r'
Description: A scripting and command-line front-end
is provided by 'r' (aka 'littler') as a lightweight binary wrapper around
the GNU R language and environment for statistical computing and graphics.
While R can be used in batch mode, the r binary adds full support for
both 'shebang'-style scripting (i.e. using a hash-mark-exclamation-path
expression as the first line in scripts) as well as command-line use in
standard Unix pipelines. In other words, r provides the R language without
the environment.
Author: Dirk Eddelbuettel [aut, cre] ,
Jeff Horner [aut] )
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between littler versions 0.3.21 dated 2025-03-25 and 0.3.22 dated 2026-02-04
ChangeLog | 63 +++++++++++++++++++++++++++++++++++++++ DESCRIPTION | 11 +++--- MD5 | 29 +++++++++-------- README.md | 2 - build/vignette.rds |binary inst/NEWS.Rd | 33 +++++++++++++++++++- inst/doc/littler-examples.html | 2 - inst/examples/busybees.r |only inst/examples/checkPackageURLs.r |only inst/examples/deadliners.r | 8 +++- inst/examples/install2.r | 19 ++++++++--- inst/examples/installGithub.r | 12 ++++++- inst/examples/installRub.r | 19 ++++++----- inst/examples/r2u.r | 11 ++++-- inst/examples/rcc.r | 4 +- inst/examples/trox.r |only src/scripts/littler.R | 5 +-- 17 files changed, 170 insertions(+), 48 deletions(-)
Title: Access Brazilian Public Health Data
Description: Provides easy access to Brazilian public health data from multiple
sources including VIGITEL (Surveillance of Risk Factors for Chronic Diseases
by Telephone Survey), PNS (National Health Survey), SIM (Mortality Information
System), SINASC (Live Birth Information System), and other health information
systems. Data is downloaded from the Brazilian Ministry of Health VIGITEL
repository <https://svs.aids.gov.br/download/Vigitel/>. Data is returned in
tidy format following tidyverse conventions.
Author: Sidney Bissoli [aut, cre]
Maintainer: Sidney Bissoli <sbissoli76@gmail.com>
Diff between healthbR versions 0.1.0 dated 2026-02-03 and 0.1.1 dated 2026-02-04
DESCRIPTION | 10 - MD5 | 32 +++--- NEWS.md | 17 +++ R/vigitel.R | 197 +++++++++++++++++++++---------------- man/check_arrow.Rd |only man/has_arrow.Rd |only man/vigitel_cache_dir.Rd | 6 - man/vigitel_cache_status.Rd | 9 + man/vigitel_clear_cache.Rd | 12 -- man/vigitel_convert_to_parquet.Rd | 4 man/vigitel_data.Rd | 39 ++----- man/vigitel_data_single.Rd | 10 + man/vigitel_dictionary.Rd | 10 + man/vigitel_download.Rd | 13 +- man/vigitel_download_dictionary.Rd | 4 man/vigitel_excel_path.Rd | 4 man/vigitel_parquet_path.Rd | 4 man/vigitel_variables.Rd | 10 + 18 files changed, 228 insertions(+), 153 deletions(-)
Title: Distributional Synthetic Controls Estimation
Description: The method of synthetic controls is a widely-adopted tool for evaluating causal effects of policy changes in settings with observational data. In many settings where it is applicable, researchers want to identify causal effects of policy changes on a treated unit at an aggregate level while having access to data at a finer granularity. This package implements a simple extension of the synthetic controls estimator, developed in Gunsilius (2023) <doi:10.3982/ECTA18260>, that takes advantage of this additional structure and provides nonparametric estimates of the heterogeneity within the aggregate unit. The idea is to replicate the quantile function associated with the treated unit by a weighted average of quantile functions of the control units. The package contains tools for aggregating and plotting the resulting distributional estimates, as well as for carrying out inference on them.
Author: David Van Dijcke [aut, cre] ,
Florian Gunsilius [aut] ,
Siyun He [aut]
Maintainer: David Van Dijcke <dvdijcke@umich.edu>
This is a re-admission after prior archival of version 0.1.1 dated 2024-07-22
Diff between DiSCos versions 0.1.1 dated 2024-07-22 and 0.1.2 dated 2026-02-04
DESCRIPTION | 14 +++--- MD5 | 23 +++++----- NEWS.md | 10 ++++ R/DiSCo_iter.R | 1 R/DiSCo_per.R | 4 - README.md | 43 ++++++++++++++++++- build/partial.rdb |binary build/vignette.rds |binary inst/doc/Dube2019.R | 90 ++++++++++++++++++++--------------------- inst/doc/Dube2019.html | 7 +-- tests/testthat/Rplots.pdf |only tests/testthat/test-DiSCo.R | 5 +- tests/testthat/test-DiSCoTEA.R | 29 ++++--------- 13 files changed, 134 insertions(+), 92 deletions(-)
Title: Bayesian Estimation of Change-Points in the Slope of
Multivariate Time-Series
Description: Assume that a temporal process is composed of contiguous segments with differing slopes and replicated noise-corrupted time series measurements are observed. The unknown mean of the data generating process is modelled as a piecewise linear function of time with an unknown number of change-points. The package infers the joint posterior distribution of the number and position of change-points as well as the unknown mean parameters per time-series by MCMC sampling. A-priori, the proposed model uses an overfitting number of mean parameters but, conditionally on a set of change-points, only a subset of them influences the likelihood. An exponentially decreasing prior distribution on the number of change-points gives rise to a posterior distribution concentrating on sparse representations of the underlying sequence, but also available is the Poisson distribution. See Papastamoulis et al (2019) <doi:10.1515/ijb-2018-0052> for a detailed presentation of the method.
Author: Panagiotis Papastamoulis [aut, cre]
Maintainer: Panagiotis Papastamoulis <papapast@yahoo.gr>
Diff between beast versions 1.1 dated 2018-03-16 and 1.2 dated 2026-02-04
DESCRIPTION | 19 +++++++++++++------ MD5 | 16 ++++++++-------- R/fullMCMC_complexityPrior.R | 8 ++++++-- build/partial.rdb |binary inst/CITATION | 39 +++++++++++++++------------------------ man/FungalGrowthDataset.Rd | 5 ++--- man/beast-package.Rd | 6 +++--- man/beast.Rd | 4 ++-- man/plot.beast.object.Rd | 4 ++-- 9 files changed, 51 insertions(+), 50 deletions(-)
Title: Graphs and Tables for OMOP Results
Description: Provides methods to transform omop_result objects into
formatted tables and figures, facilitating the visualisation of study
results working with the Observational Medical Outcomes Partnership
(OMOP) Common Data Model.
Author: Marti Catala [aut] ,
Nuria Mercade-Besora [aut, cre] ,
Yuchen Guo [ctb] ,
Elin Rowlands [ctb] ,
Marta Alcalde-Herraiz [ctb] ,
Edward Burn [ctb]
Maintainer: Nuria Mercade-Besora <nuria.mercadebesora@ndorms.ox.ac.uk>
Diff between visOmopResults versions 1.4.1 dated 2026-02-02 and 1.4.2 dated 2026-02-04
DESCRIPTION | 11 MD5 | 188 NAMESPACE | 158 NEWS.md | 120 R/customiseText.R | 150 R/datatableInternal.R | 264 R/documentationHelper.R | 188 R/formatEstimateName.R | 430 - R/formatEstimateValue.R | 314 R/formatHeader.R | 272 R/formatTable.R | 436 - R/fxTable.R | 668 - R/gtTable.R | 594 - R/helperFunctions.R | 388 R/mockResults.R | 396 R/plottingThemes.R | 76 R/reactableInternal.R | 232 R/reexports.R | 230 R/styles.R | 1099 +- R/tidy.R | 132 R/tinyTable.R | 440 - R/utilities.R | 686 - R/visOmopResults-package.R | 52 R/visOmopTable.R | 490 - README.md | 268 build/vignette.rds |binary inst/app.R | 512 - inst/brand/darwin.yml | 164 inst/brand/default.yml | 158 inst/createMockReportData.R | 138 inst/doc/a01_tables.R | 386 inst/doc/a01_tables.Rmd | 666 - inst/doc/a01_tables.html |11589 ++++++++++++++--------------- inst/doc/a02_plots.R | 406 - inst/doc/a02_plots.Rmd | 592 - inst/doc/a02_plots.html | 1321 +-- inst/doc/a03_quarto_reports.R | 340 inst/doc/a03_quarto_reports.html | 1351 +-- inst/doc/a04_shiny_apps.R | 542 - inst/doc/a04_shiny_apps.Rmd | 738 - inst/doc/a04_shiny_apps.html | 1475 +-- inst/doc/a05_style.R | 384 inst/doc/a05_style.Rmd | 640 - inst/doc/a05_style.html | 3760 ++++----- man/barPlot.Rd | 146 man/boxPlot.Rd | 142 man/customiseText.Rd | 114 man/data.Rd | 32 man/emptyPlot.Rd | 74 man/emptyTable.Rd | 80 man/formatEstimateName.Rd | 86 man/formatEstimateValue.Rd | 82 man/formatHeader.Rd | 94 man/formatMinCellCount.Rd | 40 man/formatTable.Rd | 270 man/mockSummarisedResult.Rd | 40 man/plotColumns.Rd | 46 man/plotDoc.Rd | 130 man/plotStyle.Rd | 38 man/plotType.Rd | 38 man/reexports.Rd | 82 man/scatterPlot.Rd | 172 man/setGlobalPlotOptions.Rd | 54 man/setGlobalTableOptions.Rd | 100 man/tableColumns.Rd | 46 man/tableDoc.Rd | 126 man/tableOptions.Rd | 38 man/tableStyle.Rd | 38 man/tableType.Rd | 40 man/themeVisOmop.Rd | 70 man/visOmopResults-package.Rd | 78 man/visOmopTable.Rd | 252 man/visTable.Rd | 182 tests/testthat.R | 24 tests/testthat/_snaps/datatableInternal.md | 50 tests/testthat/_snaps/formatTable.md | 102 tests/testthat/_snaps/reactableInternal.md | 144 tests/testthat/test-customiseText.R | 86 tests/testthat/test-datatableInternal.R | 68 tests/testthat/test-formatEstimateName.R | 972 +- tests/testthat/test-formatEstimateValue.R | 642 - tests/testthat/test-formatHeader.R | 552 - tests/testthat/test-formatTable.R | 404 - tests/testthat/test-fxTable.R | 692 - tests/testthat/test-gtTable.R | 888 +- tests/testthat/test-helperFunctions.R | 24 tests/testthat/test-mockResults.R | 8 tests/testthat/test-reactableInternal.R | 88 tests/testthat/test-tidy.R | 198 tests/testthat/test-tinyTable.R | 186 tests/testthat/test-visOmopTable.R | 908 +- vignettes/a01_tables.Rmd | 666 - vignettes/a02_plots.Rmd | 592 - vignettes/a04_shiny_apps.Rmd | 738 - vignettes/a05_style.Rmd | 640 - 95 files changed, 22428 insertions(+), 22418 deletions(-)
More information about visOmopResults at CRAN
Permanent link
Title: Colorblind-Friendly Color Maps (Lite Version)
Description: Color maps designed to improve graph readability for readers with
common forms of color blindness and/or color vision deficiency. The color
maps are also perceptually-uniform, both in regular form and also when
converted to black-and-white for printing. This is the 'lite' version of the
'viridis' package that also contains 'ggplot2' bindings for discrete and
continuous color and fill scales and can be found at
<https://cran.r-project.org/package=viridis>.
Author: Simon Garnier [aut, cre],
Noam Ross [ctb, cph],
Bob Rudis [ctb, cph],
Marco Sciaini [ctb, cph],
Antonio Pedro Camargo [ctb, cph],
Cedric Scherer [ctb, cph]
Maintainer: Simon Garnier <garnier@njit.edu>
Diff between viridisLite versions 0.4.2 dated 2023-05-02 and 0.4.3 dated 2026-02-04
DESCRIPTION | 10 +++++----- MD5 | 12 ++++++------ NEWS.md | 12 ++++++++++++ R/viridis.R | 46 +++++++++++++++++++++++----------------------- inst/CITATION | 2 +- man/viridis.Rd | 18 +++++++++--------- man/viridis.map.Rd | 28 ++++++++++++++-------------- 7 files changed, 70 insertions(+), 58 deletions(-)
Title: Penalized Quantile Regression
Description: Performs penalized quantile regression with LASSO, elastic net, SCAD and MCP penalty functions including group penalties. In addition, offers a group penalty that provides consistent variable selection across quantiles. Provides a function that automatically generates lambdas and evaluates different models with cross validation or BIC, including a large p version of BIC. Below URL provides a link to article in the R Journal.
Author: Ben Sherwood [aut, cre],
Shaobo Li [aut],
Adam Maidman [aut]
Maintainer: Ben Sherwood <ben.sherwood@ku.edu>
Diff between rqPen versions 4.1.4 dated 2025-12-18 and 4.2 dated 2026-02-04
DESCRIPTION | 13 MD5 | 8 NEWS | 387 +++++++++++++------------- R/gqPen.R | 776 +++++++++++++++++++++++++++--------------------------- build/partial.rdb |binary 5 files changed, 607 insertions(+), 577 deletions(-)
Title: Portfolio Analysis, Including Numerical Methods for Optimization
of Portfolios
Description: Portfolio optimization and analysis routines and graphics.
Author: Brian G. Peterson [cre, aut, cph],
Peter Carl [aut, cph],
Ross Bennett [ctb, cph],
Kris Boudt [ctb, cph],
Xinran Zhao [ctb, cph],
R. Douglas Martin [ctb],
Guy Yollin [ctb],
Hezky Varon [ctb],
Xiaokang Feng [ctb],
Yifu Kang [ctb]
Maintainer: Brian G. Peterson <brian@braverock.com>
Diff between PortfolioAnalytics versions 2.1.0 dated 2024-12-04 and 2.1.1 dated 2026-02-04
DESCRIPTION | 27 +++---- MD5 | 43 +++++------ R/constraints.R | 10 ++ R/extract.efficient.frontier.R | 14 +-- R/optimize.portfolio.R | 124 ++++++++++++++++++++++++++------- build/vignette.rds |binary demo/00Index | 1 demo/demo_turnover.R |only inst/doc/ROI_vignette.pdf |binary inst/doc/custom_moments_objectives.pdf |binary inst/doc/cvxrPortfolioAnalytics.pdf |binary inst/doc/portfolio_vignette.Rnw | 2 inst/doc/portfolio_vignette.pdf |binary inst/doc/risk_budget_optimization.pdf |binary inst/doc/robustCovMatForPA.pdf |binary man/meanetl.efficient.frontier.Rd | 4 - man/meanvar.efficient.frontier.Rd | 4 - man/optimize.portfolio.Rd | 2 man/turnover_constraint.Rd | 6 + vignettes/PA.bib | 6 - vignettes/cvxrPortfolioAnalytics.Rmd | 6 - vignettes/portfolio_vignette.Rnw | 2 vignettes/robustCovMatForPA.Rmd | 6 - 23 files changed, 174 insertions(+), 83 deletions(-)
More information about PortfolioAnalytics at CRAN
Permanent link
Title: R Toolkit for 'Databricks'
Description: Collection of utilities that improve using 'Databricks' from
R. Primarily functions that wrap specific 'Databricks' APIs
(<https://docs.databricks.com/api>), 'RStudio' connection pane
support, quality of life functions to make 'Databricks' simpler to
use.
Author: Zac Davies [aut, cre],
Rafi Kurlansik [aut],
Databricks [cph, fnd]
Maintainer: Zac Davies <zac@databricks.com>
Diff between brickster versions 0.2.11 dated 2025-12-13 and 0.2.12 dated 2026-02-04
brickster-0.2.11/brickster/R/zzz.R |only brickster-0.2.12/brickster/DESCRIPTION | 40 brickster-0.2.12/brickster/MD5 | 150 +- brickster-0.2.12/brickster/NAMESPACE | 5 brickster-0.2.12/brickster/NEWS.md | 17 brickster-0.2.12/brickster/R/clusters.R | 14 brickster-0.2.12/brickster/R/connection-pane-dbi.R |only brickster-0.2.12/brickster/R/connection-pane.R | 112 +- brickster-0.2.12/brickster/R/data-structures.R | 79 - brickster-0.2.12/brickster/R/databricks-dbi.R | 521 +++++++--- brickster-0.2.12/brickster/R/databricks-dbplyr.R | 51 brickster-0.2.12/brickster/R/databricks-helpers.R | 2 brickster-0.2.12/brickster/R/dbfs.R | 14 brickster-0.2.12/brickster/R/execution-context.R | 2 brickster-0.2.12/brickster/R/lib-management.R | 4 brickster-0.2.12/brickster/R/misc-helpers.R | 2 brickster-0.2.12/brickster/R/package-auth.R | 124 +- brickster-0.2.12/brickster/R/queries.R | 2 brickster-0.2.12/brickster/R/remote-repl.R | 4 brickster-0.2.12/brickster/R/request-helpers.R | 34 brickster-0.2.12/brickster/R/sql-query-execution.R | 128 ++ brickster-0.2.12/brickster/R/volume-fs.R | 16 brickster-0.2.12/brickster/R/workspaces.R | 10 brickster-0.2.12/brickster/README.md | 9 brickster-0.2.12/brickster/inst/doc/setup-auth.Rmd | 25 brickster-0.2.12/brickster/inst/doc/setup-auth.html | 83 - brickster-0.2.12/brickster/man/add_lib_path.Rd | 2 brickster-0.2.12/brickster/man/copy_to.DatabricksConnection.Rd | 2 brickster-0.2.12/brickster/man/dbAppendTable-DatabricksConnection-Id-data.frame-method.Rd | 4 brickster-0.2.12/brickster/man/dbAppendTable-DatabricksConnection-character-data.frame-method.Rd | 4 brickster-0.2.12/brickster/man/dbClearResult-DatabricksResult-method.Rd | 2 brickster-0.2.12/brickster/man/dbConnect-DatabricksDriver-method.Rd | 12 brickster-0.2.12/brickster/man/dbCreateTable-DatabricksConnection-AsIs-method.Rd |only brickster-0.2.12/brickster/man/dbCreateTable-DatabricksConnection-Id-method.Rd |only brickster-0.2.12/brickster/man/dbCreateTable-DatabricksConnection-character-method.Rd |only brickster-0.2.12/brickster/man/dbDisconnect-DatabricksConnection-method.Rd | 2 brickster-0.2.12/brickster/man/dbExistsTable-DatabricksConnection-AsIs-method.Rd | 2 brickster-0.2.12/brickster/man/dbExistsTable-DatabricksConnection-Id-method.Rd | 2 brickster-0.2.12/brickster/man/dbExistsTable-DatabricksConnection-character-method.Rd | 2 brickster-0.2.12/brickster/man/dbGetQuery-DatabricksConnection-character-method.Rd | 2 brickster-0.2.12/brickster/man/dbHasCompleted-DatabricksResult-method.Rd | 2 brickster-0.2.12/brickster/man/dbIsValid-DatabricksConnection-method.Rd | 2 brickster-0.2.12/brickster/man/dbReadTable-DatabricksConnection-AsIs-method.Rd |only brickster-0.2.12/brickster/man/dbReadTable-DatabricksConnection-Id-method.Rd |only brickster-0.2.12/brickster/man/dbReadTable-DatabricksConnection-character-method.Rd |only brickster-0.2.12/brickster/man/dbRemoveTable-DatabricksConnection-AsIs-method.Rd |only brickster-0.2.12/brickster/man/dbRemoveTable-DatabricksConnection-Id-method.Rd |only brickster-0.2.12/brickster/man/dbRemoveTable-DatabricksConnection-character-method.Rd |only brickster-0.2.12/brickster/man/dbWriteTable-DatabricksConnection-AsIs-data.frame-method.Rd | 12 brickster-0.2.12/brickster/man/dbWriteTable-DatabricksConnection-Id-data.frame-method.Rd | 12 brickster-0.2.12/brickster/man/dbWriteTable-DatabricksConnection-character-data.frame-method.Rd | 12 brickster-0.2.12/brickster/man/db_assert_statement.Rd |only brickster-0.2.12/brickster/man/db_assert_valid_conn.Rd |only brickster-0.2.12/brickster/man/db_clean_table_name.Rd |only brickster-0.2.12/brickster/man/db_dbfs_add_block.Rd | 2 brickster-0.2.12/brickster/man/db_oauth_client.Rd | 18 brickster-0.2.12/brickster/man/db_prepare_create_table_fields.Rd |only brickster-0.2.12/brickster/man/db_sql_exec_poll_for_success.Rd | 2 brickster-0.2.12/brickster/man/db_sql_fetch_results.Rd | 9 brickster-0.2.12/brickster/man/db_sql_fetch_results_fast.Rd |only brickster-0.2.12/brickster/man/db_sql_fetch_results_parallel.Rd |only brickster-0.2.12/brickster/man/db_sql_query.Rd | 19 brickster-0.2.12/brickster/man/db_token.Rd | 4 brickster-0.2.12/brickster/man/db_volume_dir_delete.Rd | 4 brickster-0.2.12/brickster/man/db_volume_read.Rd | 2 brickster-0.2.12/brickster/man/db_volume_upload_dir.Rd | 4 brickster-0.2.12/brickster/man/db_volume_write.Rd | 2 brickster-0.2.12/brickster/man/generate_temp_name.Rd | 2 brickster-0.2.12/brickster/man/read_databrickscfg.Rd | 9 brickster-0.2.12/brickster/man/read_env_var.Rd | 9 brickster-0.2.12/brickster/man/remove_lib_path.Rd | 2 brickster-0.2.12/brickster/man/sql_query_save.DatabricksConnection.Rd | 2 brickster-0.2.12/brickster/man/warehouse_id_from_http_path.Rd |only brickster-0.2.12/brickster/tests/testthat/helper-skip.R | 4 brickster-0.2.12/brickster/tests/testthat/test-auth.R | 146 +- brickster-0.2.12/brickster/tests/testthat/test-clusters.R | 2 brickster-0.2.12/brickster/tests/testthat/test-databricks-dbi.R | 92 + brickster-0.2.12/brickster/tests/testthat/test-databricks-dbplyr.R | 106 +- brickster-0.2.12/brickster/tests/testthat/test-databricks-helpers.R | 4 brickster-0.2.12/brickster/tests/testthat/test-jobs.R | 2 brickster-0.2.12/brickster/tests/testthat/test-libraries.R | 2 brickster-0.2.12/brickster/tests/testthat/test-request-helpers.R | 36 brickster-0.2.12/brickster/tests/testthat/test-sql-execution.R | 6 brickster-0.2.12/brickster/tests/testthat/test-uc-tables.R | 2 brickster-0.2.12/brickster/vignettes/setup-auth.Rmd | 25 85 files changed, 1341 insertions(+), 700 deletions(-)
Title: Bunch-Gay-Welsch Statistical Estimation
Description: Performs statistical estimation and inference-related computations
by accessing and executing modified versions of 'Fortran' subroutines
originally published in the Association for Computing Machinery (ACM)
journal Transactions on Mathematical Software (TOMS) by Bunch, Gay and
Welsch (1993) <doi:10.1145/151271.151279>. The acronym 'BGW' (from the
authors' last names) will be used when making reference to technical
content (e.g., algorithm, methodology) that originally appeared in ACM TOMS.
A key feature of BGW is that it exploits the special structure of statistical
estimation problems within a trust-region-based optimization approach to
produce an estimation algorithm that is much more effective than the usual
practice of using optimization methods and codes originally developed for
general optimization. The 'bgw' package bundles 'R' wrapper (and related)
functions with modified 'Fortran' source code so that it can be compiled and
linked in the 'R' environment for fast execution [...truncated...]
Author: David S. Bunch [aut, cre] ,
David M. Gay [ctb],
Roy E. Welsch [ctb],
Stephane Hess [ctb],
David Palma [ctb]
Maintainer: David S. Bunch <dsbunch@ucdavis.edu>
Diff between bgw versions 0.1.3 dated 2024-03-29 and 0.1.4 dated 2026-02-04
DESCRIPTION | 13 +++++++------ MD5 | 12 ++++++------ NEWS | 12 ++++++++++++ R/bgw_mle.R | 45 ++++++++++++++++++++++++++++++--------------- build/vignette.rds |binary inst/doc/bgw-vignette.html | 1 + man/bgw_mle.Rd | 6 ++++-- 7 files changed, 60 insertions(+), 29 deletions(-)