Title: Minimal R/Shiny Interface to JavaScript Library 'ECharts'
Description: Deliver the full functionality of 'ECharts' with minimal overhead. 'echarty' users build R lists for 'ECharts' API. Lean set of powerful commands.
Author: Larry Helgason, with initial code from John Coene's library echarts4r
Maintainer: Larry Helgason <larry@helgasoft.com>
Diff between echarty versions 1.6.3 dated 2024-01-12 and 1.6.4 dated 2024-06-04
DESCRIPTION | 15 +- MD5 | 45 +++--- NAMESPACE | 1 NEWS.md | 45 ++++-- R/echarty.R | 268 ++++++++++++++++++++-------------------- R/util.R | 139 +++++++++++++------- build/vignette.rds |binary inst/htmlwidgets/echarty.js | 225 +++++++++++++++++---------------- inst/htmlwidgets/echarty.yaml | 2 inst/js/echarts.min.js | 90 ++++++------- inst/js/renderers.js | 176 +++++++++++++------------- inst/plugins.csv |only inst/themes/dark-mushroom.js | 1 man/ec.data.Rd | 15 ++ man/ec.fromJson.Rd | 9 - man/ec.init.Rd | 10 - man/ec.theme.Rd | 4 man/ec.upd.Rd | 33 ++-- man/ec.util.Rd | 49 +++---- man/ecr.band.Rd | 47 +++---- tests/testthat/test-ec.util.R | 25 +++ tests/testthat/test-other.R | 40 ++--- tests/testthat/test-presets.R | 79 +++++++---- tests/testthat/test-renderers.R | 9 + 24 files changed, 736 insertions(+), 591 deletions(-)
Title: Machinery for Processing Random Effect Formulas
Description: Takes formulas including random-effects components (formatted as in 'lme4', 'glmmTMB', etc.) and processes them. Includes various helper functions.
Author: Ben Bolker [aut, cre]
Maintainer: Ben Bolker <bolker@mcmaster.ca>
Diff between reformulas versions 0.2.0 dated 2024-03-13 and 0.3.0 dated 2024-06-04
DESCRIPTION | 6 +- MD5 | 22 +++++----- NAMESPACE | 5 ++ NEWS.md | 6 ++ R/nobars.R | 2 R/utils.R | 101 ++++++++++++++++++++++++++++++++++++++++++++++- README.md | 2 build/partial.rdb |binary man/expandDoubleVerts.Rd |only man/isNested.Rd |only man/mkReTrms.Rd | 1 man/nobars.Rd | 4 + man/subbars.Rd | 1 13 files changed, 134 insertions(+), 16 deletions(-)
Title: MultiGroup Method and Simulation Data Analysis
Description: Two method new of multigroup and simulation of data.
The first technique called multigroup PCA (mgPCA) this multivariate exploration approach
that has the idea of considering the structure of groups and / or different types
of variables. On the other hand, the second multivariate technique called Multigroup Dimensionality
Reduction (MDR) it is another multivariate exploration method that is based on
projections. In addition, a method called Single Dimension Exploration (SDE) was
incorporated for to analyze the exploration of the data. It could help us in a better
way to observe the behavior of the multigroup data with certain variables of interest.
Author: Carolina Millap/'an [aut, cre],
Esteban Vegas [aut] ,
Ferran Reverter [aut]
Maintainer: Carolina Millap/'an <cayoya19@gmail.com>
Diff between MultiGroupO versions 0.1.0 dated 2022-01-12 and 0.3.0 dated 2024-06-04
DESCRIPTION | 10 MD5 | 40 NAMESPACE | 4 R/BIplot.r | 81 R/mdr.r | 431 +- R/mgpca.r | 63 R/newcovmultipca.r | 1 R/pca.r | 42 R/simul.multi.r | 44 build/vignette.rds |binary inst/doc/datR.R | 4 inst/doc/datR.Rmd | 4 inst/doc/datR.html | 413 +- inst/doc/vignetteMult.R | 2 inst/doc/vignetteMult.Rmd | 2 inst/doc/vignetteMult.html | 9192 ++++++++++++++++++++++----------------------- man/BIplot.Rd | 4 man/mdr.Rd | 8 man/pca.Rd | 4 vignettes/datR.Rmd | 4 vignettes/vignetteMult.Rmd | 2 21 files changed, 5234 insertions(+), 5121 deletions(-)
Title: Organising Projects
Description: A system to help you organize projects. Most analyses have three (or more) main sections: code, results, and data, each with different requirements (version control/sharing/encryption). You provide folder locations and 'org' helps you take care of the details.
Author: Richard Aubrey White [aut, cre]
,
CSIDS [cph]
Maintainer: Richard Aubrey White <hello@rwhite.no>
Diff between org versions 2022.11.23 dated 2022-11-22 and 2024.6.5 dated 2024-06-04
DESCRIPTION | 15 - LICENSE | 2 MD5 | 37 ++- NAMESPACE | 6 NEWS.md | 14 + R/create_project.R |only R/initialize_project.R | 42 +-- R/package_installed.R |only R/utils_files.R |only README.md | 2 build/vignette.rds |binary inst/doc/naming_conventions_for_path_components.R |only inst/doc/naming_conventions_for_path_components.Rmd |only inst/doc/naming_conventions_for_path_components.html |only inst/doc/org.Rmd | 196 +++++++++-------- inst/doc/org.html | 211 ++++++++++--------- man/create_project_quarto_external_results.Rd |only man/create_project_quarto_internal_results.Rd |only man/figures/logo.png |binary man/ls_files.Rd |only man/move_directory.Rd |only man/package_installed.Rd |only man/path.Rd |only man/write_text.Rd | 3 vignettes/naming_conventions_for_path_components.Rmd |only vignettes/org.Rmd | 196 +++++++++-------- 26 files changed, 391 insertions(+), 333 deletions(-)
Title: Linear Model Evaluation with Randomized Residuals in a
Permutation Procedure
Description: Linear model calculations are made for many random versions of data.
Using residual randomization in a permutation procedure, sums of squares are
calculated over many permutations to generate empirical probability distributions
for evaluating model effects. This packaged is described by
Collyer & Adams (2018). Additionally, coefficients, statistics, fitted values, and residuals generated over many
permutations can be used for various procedures including pairwise tests, prediction, classification, and
model comparison. This package should provide most tools one could need for the analysis of
high-dimensional data, especially in ecology and evolutionary biology, but certainly other fields, as well.
Author: Michael Collyer [aut, cre] ,
Dean Adams [aut]
Maintainer: Michael Collyer <mlcollyer@gmail.com>
Diff between RRPP versions 2.0.0 dated 2024-02-06 and 2.0.1 dated 2024-06-04
DESCRIPTION | 6 MD5 | 50 +++--- NAMESPACE | 1 NEWS.md | 13 + R/RRPP.support.code.r | 333 ++++++++++++++++++++++++------------------ R/RRPP.utils.r | 10 - R/base_lm.rrpp.r | 201 +++++++++++++------------ R/coef.lm.rrpp.r | 27 +++ R/lm.rrpp.ws.r | 4 R/manova.update.r | 10 + R/measurement.error.r | 55 +++--- R/model.comparison.r | 5 R/ordinate.r | 4 R/predict.lm.rrpp.r | 19 -- R/shared.support.code.r | 76 +++++++-- build/vignette.rds |binary inst/CITATION | 4 inst/doc/ANOVA.vs.MANOVA.Rmd | 2 inst/doc/ANOVA.vs.MANOVA.html | 8 - inst/doc/Using.RRPP.html | 46 ++--- man/getModels.Rd | 5 man/lm.rrpp.ws.Rd | 4 man/measurement.error.Rd | 61 ++++--- man/ordinate.Rd | 4 man/predict.lm.rrpp.Rd | 2 vignettes/ANOVA.vs.MANOVA.Rmd | 2 26 files changed, 558 insertions(+), 394 deletions(-)
Title: Render Markdown with 'commonmark'
Description: Render Markdown to full and lightweight HTML/LaTeX documents with
the 'commonmark' package. This package has been superseded by 'litedown'.
Author: Yihui Xie [aut, cre] ,
JJ Allaire [aut],
Jeffrey Horner [aut],
Henrik Bengtsson [ctb],
Jim Hester [ctb],
Yixuan Qiu [ctb],
Kohske Takahashi [ctb],
Adam November [ctb],
Nacho Caballero [ctb],
Jeroen Ooms [ctb],
Thomas Leeper [ctb],
Joe Cheng [ctb],
An [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>
Diff between markdown versions 1.12 dated 2023-12-05 and 1.13 dated 2024-06-04
markdown-1.12/markdown/build |only markdown-1.12/markdown/inst/COPYING |only markdown-1.12/markdown/inst/doc |only markdown-1.12/markdown/vignettes |only markdown-1.13/markdown/DESCRIPTION | 15 +++------- markdown-1.13/markdown/MD5 | 36 ++++--------------------- markdown-1.13/markdown/NEWS.md | 10 +++++-- markdown-1.13/markdown/R/render.R | 11 ++----- markdown-1.13/markdown/R/rpubs.R | 2 - markdown-1.13/markdown/R/utils.R | 19 +++++++++---- markdown-1.13/markdown/README.md | 37 ++------------------------ markdown-1.13/markdown/inst/resources/snap.js | 2 - 12 files changed, 42 insertions(+), 90 deletions(-)
Title: Phase I/II CRM Based Drug Combination Design
Description: Implements the adaptive designs for integrated phase I/II trials of drug combinations via continual reassessment method (CRM) to evaluate toxicity and efficacy simultaneously for each enrolled patient cohort based on Bayesian inference. It supports patients assignment guidance in a single trial using current enrolled data, as well as conducting extensive simulation studies to evaluate operating characteristics before the trial starts. It includes various link functions such as empiric, one-parameter logistic, two-parameter logistic, and hyperbolic tangent, as well as considering multiple prior distributions of the parameters like normal distribution, gamma distribution and exponential distribution to accommodate diverse clinical scenarios. Method using Bayesian framework with empiric link function is described in: Wages and Conaway (2014) <doi:10.1002/sim.6097>.
Author: Junying Wang [cre, aut],
Song Wu [aut],
Jie Yang [aut]
Maintainer: Junying Wang <junying.wang@stonybrook.edu>
Diff between crm12Comb versions 0.1.4 dated 2024-05-26 and 0.1.5 dated 2024-06-04
DESCRIPTION | 6 ++--- MD5 | 14 +++++------ R/est.R | 4 +-- inst/doc/crm12Comb.R | 10 ++++---- inst/doc/crm12Comb.Rmd | 16 ++++++------- inst/doc/crm12Comb.html | 43 ++++++++++++++++++------------------ inst/extdata/examples_results.RData |binary vignettes/crm12Comb.Rmd | 16 ++++++------- 8 files changed, 55 insertions(+), 54 deletions(-)
Title: Bayesian MMRMs using 'brms'
Description: The mixed model for repeated measures (MMRM) is a popular
model for longitudinal clinical trial data with continuous endpoints,
and 'brms' is a powerful and versatile package for fitting Bayesian
regression models. The 'brms.mmrm' R package leverages 'brms' to run
MMRMs, and it supports a simplified interfaced to reduce difficulty
and align with the best practices of the life sciences. References:
Bürkner (2017) <doi:10.18637/jss.v080.i01>, Mallinckrodt (2008)
<doi:10.1177/009286150804200402>.
Author: William Michael Landau [aut, cre]
,
Kevin Kunzmann [aut] ,
Yoni Sidi [aut],
Christian Stock [aut] ,
Eli Lilly and Company [cph, fnd],
Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>
Diff between brms.mmrm versions 0.1.0 dated 2024-02-15 and 1.0.0 dated 2024-06-04
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brms.mmrm-1.0.0/brms.mmrm/R/brm_archetype_average_effects.R |only brms.mmrm-1.0.0/brms.mmrm/R/brm_archetype_cells.R |only brms.mmrm-1.0.0/brms.mmrm/R/brm_archetype_effects.R |only brms.mmrm-1.0.0/brms.mmrm/R/brm_archetype_successive_cells.R |only brms.mmrm-1.0.0/brms.mmrm/R/brm_archetype_successive_effects.R |only brms.mmrm-1.0.0/brms.mmrm/R/brm_data.R | 101 brms.mmrm-1.0.0/brms.mmrm/R/brm_data_change.R | 6 brms.mmrm-1.0.0/brms.mmrm/R/brm_formula.R | 567 ++++- brms.mmrm-1.0.0/brms.mmrm/R/brm_formula_sigma.R |only brms.mmrm-1.0.0/brms.mmrm/R/brm_marginal_draws.R | 227 +- brms.mmrm-1.0.0/brms.mmrm/R/brm_marginal_draws_average.R | 4 brms.mmrm-1.0.0/brms.mmrm/R/brm_marginal_probabilities.R | 2 brms.mmrm-1.0.0/brms.mmrm/R/brm_marginal_summaries.R | 2 brms.mmrm-1.0.0/brms.mmrm/R/brm_model.R | 82 brms.mmrm-1.0.0/brms.mmrm/R/brm_package.R | 18 brms.mmrm-1.0.0/brms.mmrm/R/brm_plot_compare.R | 43 brms.mmrm-1.0.0/brms.mmrm/R/brm_plot_draws.R | 2 brms.mmrm-1.0.0/brms.mmrm/R/brm_prior_archetype.R 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+++-- brms.mmrm-1.0.0/brms.mmrm/inst/doc/fev1.html | 603 +++-- brms.mmrm-1.0.0/brms.mmrm/inst/doc/inference.R |only brms.mmrm-1.0.0/brms.mmrm/inst/doc/inference.Rmd |only brms.mmrm-1.0.0/brms.mmrm/inst/doc/inference.html |only brms.mmrm-1.0.0/brms.mmrm/inst/doc/model.Rmd |only brms.mmrm-1.0.0/brms.mmrm/inst/doc/model.html |only brms.mmrm-1.0.0/brms.mmrm/inst/doc/sbc.R | 218 + brms.mmrm-1.0.0/brms.mmrm/inst/doc/sbc.Rmd | 375 ++- brms.mmrm-1.0.0/brms.mmrm/inst/doc/sbc.html | 535 +++- brms.mmrm-1.0.0/brms.mmrm/inst/doc/simulation.Rmd | 83 brms.mmrm-1.0.0/brms.mmrm/inst/doc/simulation.html | 141 - brms.mmrm-1.0.0/brms.mmrm/inst/doc/subgroup.Rmd | 236 +- brms.mmrm-1.0.0/brms.mmrm/inst/doc/subgroup.html | 482 ++-- brms.mmrm-1.0.0/brms.mmrm/inst/doc/usage.Rmd | 556 ++-- brms.mmrm-1.0.0/brms.mmrm/inst/doc/usage.html | 585 ++--- brms.mmrm-1.0.0/brms.mmrm/man/brm_archetype_average_cells.Rd |only brms.mmrm-1.0.0/brms.mmrm/man/brm_archetype_average_effects.Rd |only 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Title: A Versatile Cutting Tool
Description: A tool for cutting data into intervals. Allows singleton intervals.
Always includes the whole range of data by default. Flexible labelling.
Convenience functions for cutting by quantiles etc. Handles dates, times, units
and other vectors.
Author: David Hugh-Jones [aut, cre],
Daniel Possenriede [ctb]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>
Diff between santoku versions 0.10.0 dated 2023-10-12 and 1.0.0 dated 2024-06-04
DESCRIPTION | 14 ++++---- MD5 | 52 +++++++++++++++---------------- NEWS.md | 11 ++++++ R/breaks-impl.R | 4 +- R/breaks.R | 23 +++++++++----- R/chop.R | 23 +++++++++----- R/labels.R | 47 ++++++++++------------------ R/utils.R | 22 +++++++++++++ README.md | 10 +++--- build/vignette.rds |binary inst/doc/santoku.html | 57 +++++++++++++++++------------------ inst/doc/whats-new-in-0-9-0.html | 2 - man/chop_equally.Rd | 4 +- man/chop_evenly.Rd | 2 - man/chop_fn.Rd | 2 - man/chop_mean_sd.Rd | 2 - man/chop_n.Rd | 2 - man/chop_proportions.Rd | 2 - man/chop_quantiles.Rd | 28 +++++++++++++---- man/chop_width.Rd | 2 - man/fillet.Rd | 4 +- man/lbl_endpoints.Rd | 3 + man/lbl_manual.Rd | 17 ++++------ tests/testthat/test-breaks.R | 19 ++++++++++- tests/testthat/test-chop.R | 2 - tests/testthat/test-labels.R | 14 +------- tests/testthat/test-zzz-systematic.R | 10 ------ 27 files changed, 215 insertions(+), 163 deletions(-)
Title: Multiple Imputation of Covariates by Substantive Model
Compatible Fully Conditional Specification
Description: Implements multiple imputation of missing covariates by
Substantive Model Compatible Fully Conditional Specification.
This is a modification of the popular FCS/chained equations
multiple imputation approach, and allows imputation of missing
covariate values from models which are compatible with the user
specified substantive model.
Author: Jonathan Bartlett [aut, cre],
Ruth Keogh [aut],
Edouard F. Bonneville [aut],
Claus Thorn Ekstroem [ctb]
Maintainer: Jonathan Bartlett <jonathan.bartlett1@lshtm.ac.uk>
Diff between smcfcs versions 1.7.1 dated 2022-11-07 and 1.8.0 dated 2024-06-04
smcfcs-1.7.1/smcfcs/R/plot_convergence.R |only smcfcs-1.7.1/smcfcs/R/smcfcs_parallel.r |only smcfcs-1.8.0/smcfcs/DESCRIPTION | 10 smcfcs-1.8.0/smcfcs/MD5 | 105 smcfcs-1.8.0/smcfcs/NAMESPACE | 23 smcfcs-1.8.0/smcfcs/R/data.r | 303 - smcfcs-1.8.0/smcfcs/R/plot.smcfcs.R |only smcfcs-1.8.0/smcfcs/R/smcfcs.finegray.R |only smcfcs-1.8.0/smcfcs/R/smcfcs.parallel.r |only smcfcs-1.8.0/smcfcs/R/smcfcs.r | 2382 ++++++------- smcfcs-1.8.0/smcfcs/README.md | 22 smcfcs-1.8.0/smcfcs/build/partial.rdb |binary smcfcs-1.8.0/smcfcs/build/vignette.rds |binary smcfcs-1.8.0/smcfcs/data/ex_cc.rda |binary smcfcs-1.8.0/smcfcs/data/ex_compet.rda |binary smcfcs-1.8.0/smcfcs/data/ex_coxquad.rda |binary smcfcs-1.8.0/smcfcs/data/ex_dtsam.rda |binary smcfcs-1.8.0/smcfcs/data/ex_finegray.rda |only smcfcs-1.8.0/smcfcs/data/ex_lininter.rda |binary smcfcs-1.8.0/smcfcs/data/ex_linquad.rda |binary smcfcs-1.8.0/smcfcs/data/ex_logisticquad.rda |binary smcfcs-1.8.0/smcfcs/data/ex_ncc.rda |binary smcfcs-1.8.0/smcfcs/data/ex_poisson.rda |binary smcfcs-1.8.0/smcfcs/inst/doc/smcfcs-vignette.R | 96 smcfcs-1.8.0/smcfcs/inst/doc/smcfcs-vignette.Rmd | 278 - smcfcs-1.8.0/smcfcs/inst/doc/smcfcs-vignette.html | 1535 ++++---- smcfcs-1.8.0/smcfcs/inst/doc/smcfcs_coverror-vignette.R | 178 smcfcs-1.8.0/smcfcs/inst/doc/smcfcs_coverror-vignette.Rmd | 272 - smcfcs-1.8.0/smcfcs/inst/doc/smcfcs_coverror-vignette.html | 1211 +++--- smcfcs-1.8.0/smcfcs/man/ex_cc.Rd | 50 smcfcs-1.8.0/smcfcs/man/ex_compet.Rd | 48 smcfcs-1.8.0/smcfcs/man/ex_coxquad.Rd | 50 smcfcs-1.8.0/smcfcs/man/ex_dtsam.Rd | 44 smcfcs-1.8.0/smcfcs/man/ex_finegray.Rd |only smcfcs-1.8.0/smcfcs/man/ex_lininter.Rd | 44 smcfcs-1.8.0/smcfcs/man/ex_linquad.Rd | 48 smcfcs-1.8.0/smcfcs/man/ex_logisticquad.Rd | 48 smcfcs-1.8.0/smcfcs/man/ex_ncc.Rd | 52 smcfcs-1.8.0/smcfcs/man/ex_poisson.Rd | 46 smcfcs-1.8.0/smcfcs/man/plot.smcfcs.Rd | 118 smcfcs-1.8.0/smcfcs/man/smcfcs.Rd | 452 +- smcfcs-1.8.0/smcfcs/man/smcfcs.casecohort.Rd | 204 - smcfcs-1.8.0/smcfcs/man/smcfcs.dtsam.Rd | 232 - smcfcs-1.8.0/smcfcs/man/smcfcs.finegray.Rd |only smcfcs-1.8.0/smcfcs/man/smcfcs.nestedcc.Rd | 218 - smcfcs-1.8.0/smcfcs/man/smcfcs.parallel.Rd | 164 smcfcs-1.8.0/smcfcs/tests/testthat/test_biasreduced.r | 214 - smcfcs-1.8.0/smcfcs/tests/testthat/test_casecohort.r | 175 smcfcs-1.8.0/smcfcs/tests/testthat/test_coxph.r | 106 smcfcs-1.8.0/smcfcs/tests/testthat/test_dtsam.r | 918 ++--- smcfcs-1.8.0/smcfcs/tests/testthat/test_errorchecks.R | 535 +- smcfcs-1.8.0/smcfcs/tests/testthat/test_finegray.r |only smcfcs-1.8.0/smcfcs/tests/testthat/test_measerror.r | 187 - smcfcs-1.8.0/smcfcs/tests/testthat/test_nestedcc.R | 280 - smcfcs-1.8.0/smcfcs/tests/testthat/test_parallel.r | 416 +- smcfcs-1.8.0/smcfcs/tests/testthat/test_weibull.r | 141 smcfcs-1.8.0/smcfcs/vignettes/smcfcs-vignette.Rmd | 278 - smcfcs-1.8.0/smcfcs/vignettes/smcfcs_coverror-vignette.Rmd | 272 - 58 files changed, 5987 insertions(+), 5768 deletions(-)
Title: Connector Between 'mlr3' and 'OpenML'
Description: Provides an interface to 'OpenML.org' to list and download
machine learning data, tasks and experiments. The 'OpenML' objects can
be automatically converted to 'mlr3' objects. For a more
sophisticated interface with more upload options, see
the 'OpenML' package.
Author: Michel Lang [aut] ,
Sebastian Fischer [cre, aut]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>
Diff between mlr3oml versions 0.9.0 dated 2023-09-13 and 0.10.0 dated 2024-06-04
DESCRIPTION | 8 +++---- MD5 | 32 +++++++++++++++---------------- NEWS.md | 7 ++++++ R/OMLData.R | 2 - R/OMLRun.R | 4 ++- R/cache.R | 7 ++---- R/download_arff.R | 3 +- R/download_parquet.R | 14 ++++++------- R/helper.R | 2 - R/utils.R | 4 +-- R/zzz.R | 3 ++ build/partial.rdb |binary man/mlr3oml-package.Rd | 3 ++ tests/testthat/setup.R | 7 ++++-- tests/testthat/test_publish_collection.R | 2 - tests/testthat/test_publish_data.R | 2 - tests/testthat/test_publish_task.R | 6 ++--- 17 files changed, 61 insertions(+), 45 deletions(-)
Title: 'Shiny' Extension of 'howler.js'
Description: Audio interactivity within 'shiny' applications using 'howler.js'. Enables the
status of the audio player to be sent from the UI to the server, and events such as
playing and pausing the audio can be triggered from the server.
Author: Ashley Baldry [aut, cre],
James Simpson [aut]
Maintainer: Ashley Baldry <arbaldry91@gmail.com>
Diff between howler versions 0.2.1 dated 2022-10-06 and 0.3.0 dated 2024-06-04
DESCRIPTION | 11 + MD5 | 69 ++++++----- NAMESPACE | 3 NEWS.md | 7 + R/button.R | 4 R/example.R | 10 + R/howler.R | 79 +++++++------ R/module.R | 22 +-- R/server-side.R | 28 ++++ R/slider.R | 18 +-- R/sound.R |only README.md | 6 - build/vignette.rds |binary inst/doc/howler.R |only inst/doc/howler.html | 206 +++++++++++++++++++---------------- inst/examples/basic/app.R | 2 inst/examples/full/app.R | 10 - inst/examples/module/app.R | 10 - inst/examples/server/app.R | 39 ++++-- inst/examples/two_players/app.R | 14 +- inst/examples/upload |only inst/htmlwidgets/howler-bindings |only inst/htmlwidgets/howler.js | 27 ++++ man/howler-shiny.Rd | 18 +++ man/howler.Rd | 32 ++--- man/howlerButton.Rd | 4 man/howlerModule.Rd | 2 man/howlerServer.Rd | 12 ++ man/playSound.Rd |only tests/testthat/test-button.R | 34 ++--- tests/testthat/test-delete_track.R |only tests/testthat/test-meta.R | 10 - tests/testthat/test-module.R | 22 +-- tests/testthat/test-module_example.R | 17 +- tests/testthat/test-player.R | 18 +-- tests/testthat/test-server_example.R | 15 +- tests/testthat/test-shiny.R | 23 ++- tests/testthat/test-slider.R | 36 +++--- tests/testthat/test-sound.R |only 39 files changed, 479 insertions(+), 329 deletions(-)
Title: Tools to Conduct Meteorological Normalisation and Counterfactual
Modelling for Air Quality Data
Description: An integrated set of tools to allow data users to conduct
meteorological normalisation and counterfactual modelling for air quality
data. The meteorological normalisation technique uses predictive random
forest models to remove variation of pollutant concentrations so trends and
interventions can be explored in a robust way. For examples, see
Grange et al. (2018) <doi:10.5194/acp-18-6223-2018> and
Grange and Carslaw (2019) <doi:10.1016/j.scitotenv.2018.10.344>. The random
forest models can also be used for counterfactual or business as usual (BAU)
modelling by using the models to predict, from the model's perspective, the
future. For an example, see Grange et al. (2021) <doi:10.5194/acp-2020-1171>.
Author: Stuart K. Grange [cre, aut]
Maintainer: Stuart K. Grange <stuart.grange@york.ac.uk>
Diff between rmweather versions 0.2.5 dated 2023-11-21 and 0.2.6 dated 2024-06-04
DESCRIPTION | 10 ++-- MD5 | 30 +++++++------ NAMESPACE | 1 R/rmw_calculate_model_errors.R | 10 +++- R/rmw_model_nested_sets.R | 55 ++++++++++++++++-------- R/rmw_model_statistics.R | 14 +++--- R/rmw_normalise.R | 6 +- R/rmw_normalise_nested_sets.R |only R/rmw_partial_dependencies.R | 8 ++- R/rmw_predict_nested_partial_dependencies.R | 42 ++++++++++++------ R/rmw_predict_nested_sets.R | 57 +++++++++++++++---------- R/zzz.R | 2 man/rmw_calculate_model_errors.Rd | 4 + man/rmw_model_nested_sets.Rd | 5 +- man/rmw_normalise_nested_sets.Rd |only man/rmw_predict_nested_partial_dependencies.Rd | 5 +- man/rmw_predict_nested_sets.Rd | 5 +- 17 files changed, 165 insertions(+), 89 deletions(-)
Title: Bayesian Estimation of Multivariate Threshold Autoregressive
Models
Description: Estimation, inference and forecasting using the Bayesian approach for multivariate threshold autoregressive (TAR) models in which the distribution used to describe the noise process belongs to the class of Gaussian variance mixtures.
Author: Luis Hernando Vanegas [aut, cre],
Sergio Alejandro Calderon [aut],
Luz Marina Rondon [aut]
Maintainer: Luis Hernando Vanegas <lhvanegasp@unal.edu.co>
Diff between mtarm versions 0.1.0 dated 2024-05-01 and 0.1.1 dated 2024-06-04
DESCRIPTION | 6 +- MD5 | 20 +++---- R/mtar.R | 131 +++++++++++++++++++++++++++++----------------------- data/riverflows.rda |binary man/DIC.Rd | 2 man/WAIC.Rd | 2 man/convert.Rd | 2 man/forecasting.Rd | 4 - man/mtar.Rd | 6 +- man/returns.Rd | 13 ++--- man/riverflows.Rd | 4 - 11 files changed, 105 insertions(+), 85 deletions(-)
Title: 'ggplot2' Pattern Geoms
Description: Provides 'ggplot2' geoms filled with various patterns. Includes a patterned version of every 'ggplot2' geom that has a region that can be filled with a pattern. Provides a suite of 'ggplot2' aesthetics and scales for controlling pattern appearances. Supports over a dozen builtin patterns (every pattern implemented by 'gridpattern') as well as allowing custom user-defined patterns.
Author: Mike FC [aut],
Trevor L. Davis [aut, cre] ,
ggplot2 authors [aut]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>
Diff between ggpattern versions 1.0.1 dated 2022-11-09 and 1.1.1 dated 2024-06-04
ggpattern-1.0.1/ggpattern/R/aab-utils.R |only ggpattern-1.0.1/ggpattern/vignettes/create-logo.R |only ggpattern-1.0.1/ggpattern/vignettes/create-logo.html |only ggpattern-1.0.1/ggpattern/vignettes/geometry-based-pattern-parameters.R |only ggpattern-1.0.1/ggpattern/vignettes/geometry-based-pattern-parameters.html |only ggpattern-1.0.1/ggpattern/vignettes/gganimate.R |only ggpattern-1.1.1/ggpattern/DESCRIPTION | 61 ggpattern-1.1.1/ggpattern/MD5 | 137 ggpattern-1.1.1/ggpattern/NAMESPACE | 7 ggpattern-1.1.1/ggpattern/NEWS.md | 60 ggpattern-1.1.1/ggpattern/R/a-geom-docs.R |only ggpattern-1.1.1/ggpattern/R/aaa-ggplot2-compat-plyr.R | 5 ggpattern-1.1.1/ggpattern/R/aaa-ggplot2-performance.R | 63 ggpattern-1.1.1/ggpattern/R/aaa-ggplot2-scale-manual.R | 2 ggpattern-1.1.1/ggpattern/R/aaa-ggplot2-utilities.R | 49 ggpattern-1.1.1/ggpattern/R/geom-.R | 252 - ggpattern-1.1.1/ggpattern/R/geom-bar.R | 184 - ggpattern-1.1.1/ggpattern/R/geom-bin2d.R | 23 ggpattern-1.1.1/ggpattern/R/geom-boxplot.R | 146 ggpattern-1.1.1/ggpattern/R/geom-col.R | 59 ggpattern-1.1.1/ggpattern/R/geom-crossbar.R | 98 ggpattern-1.1.1/ggpattern/R/geom-density.R | 48 ggpattern-1.1.1/ggpattern/R/geom-histogram.R |only ggpattern-1.1.1/ggpattern/R/geom-map.R | 113 ggpattern-1.1.1/ggpattern/R/geom-polygon.R | 157 ggpattern-1.1.1/ggpattern/R/geom-rect.R | 189 - ggpattern-1.1.1/ggpattern/R/geom-ribbon.R | 225 - ggpattern-1.1.1/ggpattern/R/geom-sf.R | 89 ggpattern-1.1.1/ggpattern/R/geom-tile.R | 48 ggpattern-1.1.1/ggpattern/R/geom-violin.R | 73 ggpattern-1.1.1/ggpattern/R/ggpattern-deprecated.R | 1 ggpattern-1.1.1/ggpattern/R/pattern.R | 17 ggpattern-1.1.1/ggpattern/R/scale-pattern-alpha.R | 8 ggpattern-1.1.1/ggpattern/R/scale-pattern-auto.R |only ggpattern-1.1.1/ggpattern/R/scale-pattern-brewer.R | 40 ggpattern-1.1.1/ggpattern/R/scale-pattern-colour.R | 1 ggpattern-1.1.1/ggpattern/R/scale-pattern-gradient.R | 31 ggpattern-1.1.1/ggpattern/R/scale-pattern-grey.R | 16 ggpattern-1.1.1/ggpattern/R/scale-pattern-hue.R | 19 ggpattern-1.1.1/ggpattern/R/scale-pattern-linetype.R | 9 ggpattern-1.1.1/ggpattern/R/scale-pattern-shape.R | 4 ggpattern-1.1.1/ggpattern/R/scale-pattern-size.R | 38 ggpattern-1.1.1/ggpattern/R/scale-pattern-viridis.R | 25 ggpattern-1.1.1/ggpattern/R/scale-pattern.R | 1636 ---------- ggpattern-1.1.1/ggpattern/R/zzz.R | 3 ggpattern-1.1.1/ggpattern/README.md | 71 ggpattern-1.1.1/ggpattern/build/vignette.rds |binary ggpattern-1.1.1/ggpattern/inst/doc/developing-patterns.R | 33 ggpattern-1.1.1/ggpattern/inst/doc/developing-patterns.Rmd | 72 ggpattern-1.1.1/ggpattern/inst/doc/developing-patterns.html | 167 - ggpattern-1.1.1/ggpattern/inst/doc/patterns-noise.R | 7 ggpattern-1.1.1/ggpattern/inst/doc/patterns-noise.Rmd | 5 ggpattern-1.1.1/ggpattern/inst/doc/patterns-noise.html | 381 +- ggpattern-1.1.1/ggpattern/inst/doc/patterns-points.R | 2 ggpattern-1.1.1/ggpattern/inst/doc/patterns-points.Rmd | 7 ggpattern-1.1.1/ggpattern/inst/doc/patterns-points.html | 221 - ggpattern-1.1.1/ggpattern/inst/doc/patterns-stripes.R | 2 ggpattern-1.1.1/ggpattern/inst/doc/patterns-stripes.Rmd | 7 ggpattern-1.1.1/ggpattern/inst/doc/patterns-stripes.html | 241 - ggpattern-1.1.1/ggpattern/man/draw_key_polygon_pattern.Rd | 11 ggpattern-1.1.1/ggpattern/man/figures/README-unnamed-chunk-2-1.png |binary ggpattern-1.1.1/ggpattern/man/geom-docs.Rd | 175 - ggpattern-1.1.1/ggpattern/man/ggpattern-ggproto.Rd | 27 ggpattern-1.1.1/ggpattern/man/ggpattern.Rd | 12 ggpattern-1.1.1/ggpattern/man/scale_continuous.Rd | 76 ggpattern-1.1.1/ggpattern/man/scale_discrete.Rd | 106 ggpattern-1.1.1/ggpattern/man/scale_pattern_alpha_continuous.Rd | 48 ggpattern-1.1.1/ggpattern/man/scale_pattern_identity.Rd | 10 ggpattern-1.1.1/ggpattern/man/scale_pattern_manual.Rd | 12 ggpattern-1.1.1/ggpattern/man/scale_pattern_size_continuous.Rd | 14 ggpattern-1.1.1/ggpattern/vignettes/developing-patterns.Rmd | 72 ggpattern-1.1.1/ggpattern/vignettes/patterns-noise.Rmd | 5 ggpattern-1.1.1/ggpattern/vignettes/patterns-points.Rmd | 7 ggpattern-1.1.1/ggpattern/vignettes/patterns-stripes.Rmd | 7 74 files changed, 1706 insertions(+), 4028 deletions(-)
Title: Inference for Infectious Disease Transmission in SIR Framework
Description: Model and estimate the model parameters
for the spatial model of individual-level infectious disease
transmission in Susceptible-Infected-Recovered (SIR) framework.
Author: Ruwani Herath [aut, cre],
Leila Amiri [ctb],
Mahmoud Torabi [ctb]
Maintainer: Ruwani Herath <ruwanirasanjalih@gmail.com>
Diff between GDILM.SIR versions 0.1.0 dated 2024-05-14 and 1.2.1 dated 2024-06-04
DESCRIPTION | 10 +++++----- MD5 | 21 ++++++++++++++++++--- NAMESPACE | 3 ++- R/Area_Level_Data.R |only R/Individual_Level_Data.R |only R/RealData_Spatialmod_Final_Model.R |only R/Simulation_Spatialmod_Final_Model.R | 2 +- R/TwoWeek.R |only data |only inst |only man/Area_Level_Data.Rd |only man/Individual_Level_Data.Rd |only man/Realdata_Finalmodel.Rd |only man/TwoWeek.Rd |only 14 files changed, 26 insertions(+), 10 deletions(-)
Title: Call 'BEAST2'
Description: 'BEAST2' (<https://www.beast2.org>) is a widely used
Bayesian phylogenetic tool, that uses DNA/RNA/protein data
and many model priors to create a posterior of jointly estimated
phylogenies and parameters.
'BEAST2' is a command-line tool.
This package provides a way to call 'BEAST2'
from an 'R' function call.
Author: Richel J.C. Bilderbeek [aut, cre]
,
Joelle Barido-Sottani [rev] ,
David Winter [rev] ,
Jason Griffiths [ctb] ,
Olivier Roy [ctb],
Thijs Janzen [ctb]
Maintainer: Richel J.C. Bilderbeek <rjcbilderbeek@gmail.com>
Diff between beastier versions 2.5 dated 2023-11-07 and 2.5.1 dated 2024-06-04
DESCRIPTION | 12 +++++++----- MD5 | 4 ++-- inst/doc/demo.html | 36 ++++++++++++++++++------------------ 3 files changed, 27 insertions(+), 25 deletions(-)
Title: 'tidymodels' Integration with 'h2o'
Description: Create and evaluate models using 'tidymodels' and 'h2o' <https://h2o.ai/>. The
package enables users to specify 'h2o' as an engine for several
modeling methods.
Author: Max Kuhn [aut] ,
Qiushi Yan [aut, cre],
Steven Pawley [aut],
Posit Software, PBC [cph, fnd]
Maintainer: Qiushi Yan <qiushi.yann@gmail.com>
Diff between agua versions 0.1.3 dated 2023-06-03 and 0.1.4 dated 2024-06-04
DESCRIPTION | 8 ++++---- MD5 | 16 ++++++++-------- NEWS.md | 4 ++++ R/tune.R | 8 ++++++-- README.md | 2 +- build/vignette.rds |binary inst/doc/agua.html | 6 +++--- man/h2o_predict.Rd | 8 ++++---- man/h2o_train.Rd | 2 +- 9 files changed, 31 insertions(+), 23 deletions(-)
Title: Image Registration Using the 'NiftyReg' Library
Description: Provides an 'R' interface to the 'NiftyReg' image registration tools
<https://github.com/KCL-BMEIS/niftyreg>. Linear and nonlinear registration
are supported, in two and three dimensions.
Author: Jon Clayden [cre, aut] ,
Marc Modat [aut],
Benoit Presles [aut],
Thanasis Anthopoulos [aut],
Pankaj Daga [aut]
Maintainer: Jon Clayden <code@clayden.org>
Diff between RNiftyReg versions 2.8.1 dated 2023-07-18 and 2.8.2 dated 2024-06-04
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- NAMESPACE | 1 + NEWS | 9 +++++++++ R/affine.R | 9 ++++++++- R/transform.R | 4 ++-- inst/tinytest/test-25-transform.R | 1 + man/affine.Rd | 3 +++ 8 files changed, 35 insertions(+), 14 deletions(-)
Title: Visualization and Tools for Ichimoku Kinko Hyo Strategies
Description: An implementation of 'Ichimoku Kinko Hyo', also commonly known as
'cloud charts'. Static and interactive visualizations with tools for
creating, backtesting and development of quantitative 'ichimoku' strategies.
As described in Sasaki (1996, ISBN:4925152009), the technique is a refinement
on candlestick charting, originating from Japan and now in widespread use in
technical analysis worldwide. Translating as 'one-glance equilibrium chart',
it allows the price action and market structure of financial securities to
be determined 'at-a-glance'. Incorporates an interface with the OANDA
fxTrade API <https://developer.oanda.com/> for retrieving historical and
live streaming price data for major currencies, metals, commodities,
government bonds and stock indices.
Author: Charlie Gao [aut, cre] ,
Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>
Diff between ichimoku versions 1.5.1 dated 2024-04-10 and 1.5.2 dated 2024-06-04
DESCRIPTION | 11 - MD5 | 34 ++-- NAMESPACE | 3 NEWS.md | 8 R/archive.R | 18 +- R/data.R | 2 R/ichimoku-package.R | 4 R/oanda.R | 14 - R/switch.R | 4 build/vignette.rds |binary inst/doc/reference.Rmd | 6 inst/doc/reference.html | 56 +++--- inst/doc/strategies.html | 2 inst/doc/utilities.html | 382 +++++++++++++++++++++++------------------------ inst/doc/xoanda.html | 2 man/archive.Rd | 4 src/shikokuchuo.c | 4 vignettes/reference.Rmd | 6 18 files changed, 284 insertions(+), 276 deletions(-)
Title: Estuarine Bayesian Single-Station Estimation Method for
Ecosystem Metabolism
Description: Estimate ecosystem metabolism in a Bayesian framework for
individual water quality monitoring stations with continuous dissolved
oxygen time series. A mass balance equation is used that provides
estimates of parameters for gross primary production, respiration,
and gas exchange. Methods adapted from Grace et al. (2015)
<doi:10.1002/lom3.10011> and Wanninkhof (2014) <doi:10.4319/lom.2014.12.351>.
Details in Beck et al. (2024) <doi:10.1002/lom3.10620>.
Author: Marcus Beck [aut, cre] ,
Maria Herrmann [aut],
Jill Arriola [aut] ,
Raymond Najjar [aut]
Maintainer: Marcus Beck <mbeck@tbep.org>
Diff between EBASE versions 1.0.1 dated 2024-03-22 and 1.0.2 dated 2024-06-04
DESCRIPTION | 9 ++--- MD5 | 16 ++++---- NEWS.md | 6 +++ R/ebase.R | 12 +++--- R/ebase_prep.R | 51 +++++++++++++++------------- build/vignette.rds |binary inst/doc/EBASE.html | 91 +++++++++++++++++++++++++-------------------------- inst/ebase_model.txt | 16 +++++--- man/ebase_prep.Rd | 2 - 9 files changed, 109 insertions(+), 94 deletions(-)
Title: Bayesian Mortality Modelling
Description: Fit Bayesian graduation mortality using the Heligman-Pollard model, as seen in Heligman, L., & Pollard, J. H. (1980) <doi:10.1017/S0020268100040257> and Dellaportas, Petros, et al. (2001) <doi:10.1111/1467-985X.00202>, and dynamic linear model (Campagnoli, P., Petris, G., and Petrone, S. (2009) <doi:10.1007/b135794_2>). While Heligman-Pollard has parameters with a straightforward interpretation yielding some rich analysis, the dynamic linear model provides a very flexible adjustment of the mortality curves by controlling the discount factor value. Closing methods for both Heligman-Pollard and dynamic linear model were also implemented according to Dodd, Erengul, et al. (2018) <https://www.jstor.org/stable/48547511>. The Bayesian Lee-Carter model is also implemented to fit historical mortality tables time series to predict the mortality in the following years and to do improvement analysis, as seen in Lee, R. D., & Carter, L. R. (1992) <doi:10.1080/016 [...truncated...]
Author: Laboratorio de Matematica Aplicada
Maintainer: Luiz Fernando Figueiredo <labmapackage@gmail.com>
Diff between BayesMortalityPlus versions 0.2.3 dated 2024-03-04 and 0.2.4 dated 2024-06-04
DESCRIPTION | 6 - MD5 | 22 ++--- R/blc.R | 2 R/dlm.R | 2 R/dlm_close.R | 6 - R/heatmap_blc.R | 231 ++++++++++++++++++++++++++++--------------------------- R/heatmap_dlm.R | 11 +- R/heatmap_hp.R | 9 +- R/heatmap_list.R | 11 +- R/plot_blc.R | 23 ++++- R/predict_dlm.R | 13 +-- man/plot.BLC.Rd | 4 12 files changed, 188 insertions(+), 152 deletions(-)
More information about BayesMortalityPlus at CRAN
Permanent link
Title: Network Representations of Attitudes
Description: A tool for computing network representations of attitudes,
extracted from tabular data such as sociological surveys. Development of
surveygraph software and training materials was initially funded by the
European Union under the ERC Proof-of-concept programme (ERC,
Attitude-Maps-4-All, project number: 101069264). Views and opinions expressed
are however those of the author(s) only and do not necessarily reflect those
of the European Union or the European Research Council Executive Agency.
Neither the European Union nor the granting authority can be held responsible
for them.
Author: Samuel Unicomb [aut, cre],
Alejandro Dinkelberg [aut],
Padraig MacCarron [aut],
David O'Sullivan [aut],
Paul Maher [aut],
Mike Quayle [aut]
Maintainer: Samuel Unicomb <samuelunicomb@gmail.com>
Diff between surveygraph versions 0.1.1 dated 2024-04-02 and 0.1.2 dated 2024-06-04
DESCRIPTION | 21 +++++++++++---------- MD5 | 4 ++-- README.md | 7 ++++++- 3 files changed, 19 insertions(+), 13 deletions(-)
Title: The Exterior Calculus
Description: Provides functionality for working with tensors, alternating
forms, wedge products, Stokes's theorem, and related concepts
from the exterior calculus. Uses 'disordR' discipline
(Hankin, 2022, <doi:10.48550/ARXIV.2210.03856>). The
canonical reference would be M. Spivak
(1965, ISBN:0-8053-9021-9) "Calculus on Manifolds". To cite
the package in publications please use Hankin (2022)
<doi:10.48550/ARXIV.2210.17008>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>
Diff between stokes versions 1.2-0 dated 2023-08-18 and 1.2-1 dated 2024-06-04
stokes-1.2-0/stokes/build/stage23.rdb |only stokes-1.2-0/stokes/build/stokes.pdf |only stokes-1.2-0/stokes/inst/stokes.bib |only stokes-1.2-1/stokes/DESCRIPTION | 15 stokes-1.2-1/stokes/MD5 | 181 - stokes-1.2-1/stokes/NAMESPACE | 4 stokes-1.2-1/stokes/NEWS.md | 11 stokes-1.2-1/stokes/R/mult.R | 5 stokes-1.2-1/stokes/README.md | 2 stokes-1.2-1/stokes/build/partial.rdb |binary stokes-1.2-1/stokes/build/vignette.rds |binary stokes-1.2-1/stokes/data/dx.rda |binary stokes-1.2-1/stokes/data/exeyez.rda |binary stokes-1.2-1/stokes/inst/doc/Alt.R | 14 stokes-1.2-1/stokes/inst/doc/Alt.Rmd | 23 stokes-1.2-1/stokes/inst/doc/Alt.html | 500 ++-- stokes-1.2-1/stokes/inst/doc/contract.R | 20 stokes-1.2-1/stokes/inst/doc/contract.Rmd | 59 stokes-1.2-1/stokes/inst/doc/contract.html | 560 +++-- stokes-1.2-1/stokes/inst/doc/dovs.R | 16 stokes-1.2-1/stokes/inst/doc/dovs.Rmd | 42 stokes-1.2-1/stokes/inst/doc/dovs.html | 282 +- stokes-1.2-1/stokes/inst/doc/dx.R | 7 stokes-1.2-1/stokes/inst/doc/dx.Rmd | 71 stokes-1.2-1/stokes/inst/doc/dx.html | 283 +- stokes-1.2-1/stokes/inst/doc/ex.R | 9 stokes-1.2-1/stokes/inst/doc/ex.Rmd | 34 stokes-1.2-1/stokes/inst/doc/ex.html | 212 +- stokes-1.2-1/stokes/inst/doc/hodge.R | 20 stokes-1.2-1/stokes/inst/doc/hodge.Rmd | 53 stokes-1.2-1/stokes/inst/doc/hodge.html | 499 ++-- stokes-1.2-1/stokes/inst/doc/inner.R | 20 stokes-1.2-1/stokes/inst/doc/inner.Rmd | 39 stokes-1.2-1/stokes/inst/doc/inner.html | 323 +-- stokes-1.2-1/stokes/inst/doc/kinner.R | 1 stokes-1.2-1/stokes/inst/doc/kinner.Rmd | 14 stokes-1.2-1/stokes/inst/doc/kinner.pdf |binary stokes-1.2-1/stokes/inst/doc/stokes.R | 3 stokes-1.2-1/stokes/inst/doc/stokes.Rmd | 124 - stokes-1.2-1/stokes/inst/doc/stokes.html | 1001 ++++++---- stokes-1.2-1/stokes/inst/doc/vector_cross_product.R | 65 stokes-1.2-1/stokes/inst/doc/vector_cross_product.Rmd | 243 +- stokes-1.2-1/stokes/inst/doc/vector_cross_product.html | 569 +++-- stokes-1.2-1/stokes/inst/doc/volume.R | 16 stokes-1.2-1/stokes/inst/doc/volume.Rmd | 31 stokes-1.2-1/stokes/inst/doc/volume.html | 258 +- stokes-1.2-1/stokes/inst/doc/wedge.R | 15 stokes-1.2-1/stokes/inst/doc/wedge.Rmd | 46 stokes-1.2-1/stokes/inst/doc/wedge.html | 403 ++-- stokes-1.2-1/stokes/inst/read.me | 14 stokes-1.2-1/stokes/inst/stokes_arxiv.Rnw | 2 stokes-1.2-1/stokes/man/Alt.Rd | 22 stokes-1.2-1/stokes/man/Ops.Rd | 10 stokes-1.2-1/stokes/man/as.1form.Rd | 36 stokes-1.2-1/stokes/man/coeffs.Rd | 23 stokes-1.2-1/stokes/man/consolidate.Rd | 6 stokes-1.2-1/stokes/man/contract.Rd | 26 stokes-1.2-1/stokes/man/dovs.Rd | 10 stokes-1.2-1/stokes/man/ex.Rd | 6 stokes-1.2-1/stokes/man/hodge.Rd | 16 stokes-1.2-1/stokes/man/inner.Rd | 24 stokes-1.2-1/stokes/man/issmall.Rd | 6 stokes-1.2-1/stokes/man/keep.Rd | 3 stokes-1.2-1/stokes/man/kform.Rd | 42 stokes-1.2-1/stokes/man/kinner.Rd | 20 stokes-1.2-1/stokes/man/ktensor.Rd | 22 stokes-1.2-1/stokes/man/print.Rd | 29 stokes-1.2-1/stokes/man/rform.Rd | 20 stokes-1.2-1/stokes/man/scalar.Rd | 28 stokes-1.2-1/stokes/man/stokes-package.Rd | 18 stokes-1.2-1/stokes/man/symbolic.Rd | 62 stokes-1.2-1/stokes/man/tensorprod.Rd | 8 stokes-1.2-1/stokes/man/transform.Rd | 28 stokes-1.2-1/stokes/man/vector_cross_product.Rd | 18 stokes-1.2-1/stokes/man/volume.Rd | 20 stokes-1.2-1/stokes/man/wedge.Rd | 10 stokes-1.2-1/stokes/man/zap.Rd | 4 stokes-1.2-1/stokes/man/zero.Rd | 12 stokes-1.2-1/stokes/tests/testthat/test_inner.R | 2 stokes-1.2-1/stokes/tests/testthat/test_vector_cross_product.R | 1 stokes-1.2-1/stokes/vignettes/Alt.Rmd | 23 stokes-1.2-1/stokes/vignettes/contract.Rmd | 59 stokes-1.2-1/stokes/vignettes/dovs.Rmd | 42 stokes-1.2-1/stokes/vignettes/dx.Rmd | 71 stokes-1.2-1/stokes/vignettes/ex.Rmd | 34 stokes-1.2-1/stokes/vignettes/hodge.Rmd | 53 stokes-1.2-1/stokes/vignettes/inner.Rmd | 39 stokes-1.2-1/stokes/vignettes/kinner.Rmd | 14 stokes-1.2-1/stokes/vignettes/stokes.Rmd | 124 - stokes-1.2-1/stokes/vignettes/stokes.bib | 8 stokes-1.2-1/stokes/vignettes/vector_cross_product.Rmd | 243 +- stokes-1.2-1/stokes/vignettes/volume.Rmd | 31 stokes-1.2-1/stokes/vignettes/wedge.Rmd | 46 93 files changed, 4487 insertions(+), 2941 deletions(-)
Title: Spatial Analysis of Vectra Immunoflourescent Data
Description: Visualization and analysis of Vectra Immunoflourescent
data. Options for calculating both the univariate and bivariate Ripley's K
are included. Calculations are performed using a permutation-based
approach presented by Wilson et al. <doi:10.1101/2021.04.27.21256104>.
Author: Jordan Creed [aut],
Ram Thapa [aut],
Christopher Wilson [aut],
Alex Soupir [aut],
Oscar Ospina [aut],
Julia Wrobel [aut],
Brooke Fridley [cph],
Fridley Lab [cre]
Maintainer: Fridley Lab <fridley.lab@moffitt.org>
Diff between spatialTIME versions 1.3.4-4 dated 2024-05-29 and 1.3.4-5 dated 2024-06-04
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NAMESPACE | 2 -- R/bi_pair_correlation.R | 3 --- inst/doc/intro.html | 14 +++++++------- 5 files changed, 14 insertions(+), 19 deletions(-)
Title: A Statistical Framework for the Analysis of Japanese Kanji
Characters
Description: Various tools and data sets that support the study of kanji, including their morphology, decomposition and concepts of distance and similarity between them.
Author: Dominic Schuhmacher [aut, cre]
,
Lennart Finke [aut]
Maintainer: Dominic Schuhmacher <dominic.schuhmacher@mathematik.uni-goettingen.de>
Diff between kanjistat versions 0.14.0 dated 2024-05-29 and 0.14.1 dated 2024-06-04
DESCRIPTION | 8 ++++---- MD5 | 11 ++++++----- NEWS.md | 8 ++++++++ inst/doc/kanjistat.html | 4 ++-- tests/testthat/Rplots.pdf |only tests/testthat/test-kanji1.R | 10 +++++----- tests/testthat/test-stroke_edit_distance.R | 4 ++-- 7 files changed, 27 insertions(+), 18 deletions(-)
Title: High Dimensional Time Series Analysis Tools
Description: Procedures for high-dimensional time series analysis including factor analysis
proposed by Lam and Yao (2012) <doi:10.1214/12-AOS970> and Chang, Guo and Yao (2015)
<doi:10.1016/j.jeconom.2015.03.024>,martingale difference test proposed by
Chang, Jiang and Shao (2022) <doi:10.1016/j.jeconom.2022.09.001> in press,principal
component analysis proposed by Chang, Guo and Yao (2018) <doi:10.1214/17-AOS1613>,
identifying cointegration proposed by Zhang, Robinson and Yao (2019)
<doi:10.1080/01621459.2018.1458620>, unit root test proposed by Chang, Cheng and Yao (2021)
<doi:10.1093/biomet/asab034>, white noise test proposed by Chang, Yao and Zhou (2017)
<doi:10.1093/biomet/asw066>, CP-decomposition for high-dimensional matrix time
series proposed by Chang, He, Yang and Yao(2023) <doi:10.1093/jrsssb/qkac011> and
Chang, Du, Huang and Yao (2024+), and Statistical inference for high-dimensional
spectral density matrix porposed by Chang, Jiang, McElroy [...truncated...]
Author: Chen Lin [aut, cre],
Jinyuan Chang [aut],
Qiwei Yao [aut]
Maintainer: Chen Lin <linchen@smail.swufe.edu.cn>
Diff between HDTSA versions 1.0.2 dated 2023-01-07 and 1.0.3 dated 2024-06-04
HDTSA-1.0.2/HDTSA/man/PCA4_TS.Rd |only HDTSA-1.0.2/HDTSA/man/coint.Rd |only HDTSA-1.0.2/HDTSA/man/factors.Rd |only HDTSA-1.0.2/HDTSA/man/ur.test.Rd |only HDTSA-1.0.2/HDTSA/src/ToolsC_martingale.cpp |only HDTSA-1.0.2/HDTSA/src/tools4pca.cpp |only HDTSA-1.0.2/HDTSA/src/toolsC_wntest.cpp |only HDTSA-1.0.3/HDTSA/DESCRIPTION | 26 +- HDTSA-1.0.3/HDTSA/MD5 | 57 +++-- HDTSA-1.0.3/HDTSA/NAMESPACE | 21 + HDTSA-1.0.3/HDTSA/R/CP_functions_unified.R |only HDTSA-1.0.3/HDTSA/R/HDSreg.R | 236 +++++++++++----------- HDTSA-1.0.3/HDTSA/R/PCA4_TS.R | 43 ++-- HDTSA-1.0.3/HDTSA/R/RcppExports.R | 76 +++++-- HDTSA-1.0.3/HDTSA/R/Tools_SpecTest.R |only HDTSA-1.0.3/HDTSA/R/Tools_martingale.R | 37 ++- HDTSA-1.0.3/HDTSA/R/coint.R | 114 +++++++--- HDTSA-1.0.3/HDTSA/R/factors.R | 34 ++- HDTSA-1.0.3/HDTSA/R/permutationFDR.R | 274 +++++++++++++------------- HDTSA-1.0.3/HDTSA/R/permutationMax.R | 11 - HDTSA-1.0.3/HDTSA/R/print.R |only HDTSA-1.0.3/HDTSA/R/tools_wntest.R | 77 ++++--- HDTSA-1.0.3/HDTSA/R/urtest.R | 133 +++++++----- HDTSA-1.0.3/HDTSA/man/CP_MTS.Rd |only HDTSA-1.0.3/HDTSA/man/Coint.Rd |only HDTSA-1.0.3/HDTSA/man/DGP.CP.Rd |only HDTSA-1.0.3/HDTSA/man/Factors.Rd |only HDTSA-1.0.3/HDTSA/man/HDSReg.Rd | 10 HDTSA-1.0.3/HDTSA/man/MartG_test.Rd | 18 + HDTSA-1.0.3/HDTSA/man/PCA_TS.Rd |only HDTSA-1.0.3/HDTSA/man/SpecMulTest.Rd |only HDTSA-1.0.3/HDTSA/man/SpecTest.Rd |only HDTSA-1.0.3/HDTSA/man/UR_test.Rd |only HDTSA-1.0.3/HDTSA/man/WN_test.Rd | 18 - HDTSA-1.0.3/HDTSA/src/Martingale.cpp |only HDTSA-1.0.3/HDTSA/src/PCAtools.cpp |only HDTSA-1.0.3/HDTSA/src/RcppExports.cpp | 295 ++++++++++++++++++++++------ HDTSA-1.0.3/HDTSA/src/WNtest.cpp |only HDTSA-1.0.3/HDTSA/src/testtools.cpp |only HDTSA-1.0.3/HDTSA/src/testtools.h |only HDTSA-1.0.3/HDTSA/src/tool4specTest.cpp |only HDTSA-1.0.3/HDTSA/src/tools4cp.cpp |only 42 files changed, 931 insertions(+), 549 deletions(-)
Title: Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'
Description: Perform hierarchical Bayesian Aldrich-McKelvey scaling using Hamiltonian Monte
Carlo via 'Stan'. Aldrich-McKelvey ('AM') scaling is a method for estimating the ideological
positions of survey respondents and political actors on a common scale using positional survey
data. The hierarchical versions of the Bayesian 'AM' model included in this package outperform
other versions both in terms of yielding meaningful posterior distributions for respondent
positions and in terms of recovering true respondent positions in simulations. The package
contains functions for preparing data, fitting models, extracting estimates, plotting key
results, and comparing models using cross-validation. The original version of the default
model is described in Bølstad (2024) <doi:10.1017/pan.2023.18>.
Author: Joergen Boelstad [aut, cre]
Maintainer: Joergen Boelstad <jorgen.bolstad@stv.uio.no>
Diff between hbamr versions 2.3.0 dated 2024-03-31 and 2.3.1 dated 2024-06-04
DESCRIPTION | 6 MD5 | 60 +++---- NEWS.md | 11 + R/hbam.R | 5 R/inits.R | 16 +- R/plot_stimuli.R | 2 R/prep_data.R | 31 +++- build/partial.rdb |binary build/vignette.rds |binary inst/doc/hbamr.html | 310 ++++++++++++++++++++-------------------- inst/stan/BAM.stan | 8 - inst/stan/FBAM.stan | 6 inst/stan/FBAM_MULTI.stan | 6 inst/stan/FBAM_MULTI_NF.stan | 6 inst/stan/HBAM.stan | 10 - inst/stan/HBAM_MINI.stan | 6 inst/stan/HBAM_MULTI.stan | 10 - inst/stan/HBAM_MULTI_NF.stan | 10 - inst/stan/HBAM_NF.stan | 10 - inst/stan/HBAM_R_MINI.stan | 4 man/prep_data.Rd | 5 src/stanExports_BAM.h | 15 + src/stanExports_FBAM.h | 12 - src/stanExports_FBAM_MULTI.h | 12 - src/stanExports_FBAM_MULTI_NF.h | 12 - src/stanExports_HBAM.h | 18 +- src/stanExports_HBAM_MINI.h | 12 - src/stanExports_HBAM_MULTI.h | 18 +- src/stanExports_HBAM_MULTI_NF.h | 18 +- src/stanExports_HBAM_NF.h | 18 +- src/stanExports_HBAM_R_MINI.h | 10 - 31 files changed, 360 insertions(+), 307 deletions(-)
Title: Raw Accelerometer Data Analysis
Description: A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' <https://activinsights.com/>, binary (.gt3x) and .csv-export data from 'Actigraph' <https://theactigraph.com> devices, and binary (.cwa) and .csv-export data from 'Axivity' <https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format. Also the package allows for external function embedding.
Author: Vincent T van Hees [aut, cre],
Jairo H Migueles [aut] ,
Severine Sabia [ctb],
Matthew R Patterson [ctb],
Zhou Fang [ctb],
Joe Heywood [ctb],
Joan Capdevila Pujol [ctb],
Lena Kushleyeva [ctb],
Mathilde Chen [ctb],
Manasa Yerramalla [ctb],
Patrick Bos [...truncated...]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>
Diff between GGIR versions 3.1-0 dated 2024-05-06 and 3.1-1 dated 2024-06-04
GGIR-3.1-0/GGIR/inst/doc/chapter0_contributing.R |only GGIR-3.1-0/GGIR/inst/doc/chapter0_contributing.Rmd |only GGIR-3.1-0/GGIR/inst/doc/chapter0_contributing.html |only GGIR-3.1-0/GGIR/vignettes/chapter0_contributing.Rmd |only GGIR-3.1-1/GGIR/DESCRIPTION | 8 GGIR-3.1-1/GGIR/MD5 | 144 +++---- GGIR-3.1-1/GGIR/NEWS.md | 22 + GGIR-3.1-1/GGIR/R/convertEpochData.R | 2 GGIR-3.1-1/GGIR/R/g.analyse.perday.R | 2 GGIR-3.1-1/GGIR/R/g.inspectfile.R | 93 ++-- GGIR-3.1-1/GGIR/R/g.loadlog.R | 3 GGIR-3.1-1/GGIR/R/g.part4.R | 169 ++++---- GGIR-3.1-1/GGIR/R/g.part5_analyseSegment.R | 5 GGIR-3.1-1/GGIR/R/g.report.part4.R | 3 GGIR-3.1-1/GGIR/R/zzz.R | 13 GGIR-3.1-1/GGIR/build/vignette.rds |binary GGIR-3.1-1/GGIR/inst/doc/CutPoints.Rmd | 2 GGIR-3.1-1/GGIR/inst/doc/CutPoints.html | 2 GGIR-3.1-1/GGIR/inst/doc/ExternalFunction.Rmd | 2 GGIR-3.1-1/GGIR/inst/doc/ExternalFunction.html | 3 GGIR-3.1-1/GGIR/inst/doc/GGIR.R | 3 GGIR-3.1-1/GGIR/inst/doc/GGIR.Rmd | 190 --------- GGIR-3.1-1/GGIR/inst/doc/GGIR.html | 202 ---------- GGIR-3.1-1/GGIR/inst/doc/GGIRParameters.Rmd | 2 GGIR-3.1-1/GGIR/inst/doc/GGIRParameters.html | 17 GGIR-3.1-1/GGIR/inst/doc/HouseHoldCoanalysis.Rmd | 2 GGIR-3.1-1/GGIR/inst/doc/HouseHoldCoanalysis.html | 2 GGIR-3.1-1/GGIR/inst/doc/TutorialDaySegmentAnalyses.Rmd | 2 GGIR-3.1-1/GGIR/inst/doc/TutorialDaySegmentAnalyses.html | 2 GGIR-3.1-1/GGIR/inst/doc/chapter0_Contributing.R |only GGIR-3.1-1/GGIR/inst/doc/chapter0_Contributing.Rmd |only GGIR-3.1-1/GGIR/inst/doc/chapter0_Contributing.html |only GGIR-3.1-1/GGIR/inst/doc/chapter0_GetStarted.Rmd | 10 GGIR-3.1-1/GGIR/inst/doc/chapter0_GetStarted.html | 16 GGIR-3.1-1/GGIR/inst/doc/chapter0_Installation.Rmd | 4 GGIR-3.1-1/GGIR/inst/doc/chapter0_Installation.html | 7 GGIR-3.1-1/GGIR/inst/doc/chapter0_Support.Rmd | 42 +- GGIR-3.1-1/GGIR/inst/doc/chapter0_Support.html | 45 +- GGIR-3.1-1/GGIR/inst/doc/chapter1_WhatIsGGIR.Rmd | 40 - GGIR-3.1-1/GGIR/inst/doc/chapter1_WhatIsGGIR.html | 88 ++-- GGIR-3.1-1/GGIR/inst/doc/chapter2_Pipeline.Rmd | 58 +- GGIR-3.1-1/GGIR/inst/doc/chapter2_Pipeline.html | 157 +++---- GGIR-3.1-1/GGIR/inst/doc/chapter3_QualityAssessment.Rmd | 42 +- GGIR-3.1-1/GGIR/inst/doc/chapter3_QualityAssessment.html | 128 +++--- GGIR-3.1-1/GGIR/inst/doc/chapter4_AccMetrics.Rmd | 76 ++- GGIR-3.1-1/GGIR/inst/doc/chapter4_AccMetrics.html | 127 ++++-- GGIR-3.1-1/GGIR/inst/doc/chapter5_StudyProtocol.Rmd | 24 - GGIR-3.1-1/GGIR/inst/doc/chapter5_StudyProtocol.html | 31 - GGIR-3.1-1/GGIR/inst/doc/chapter6_DataImputation.Rmd | 17 GGIR-3.1-1/GGIR/inst/doc/chapter6_DataImputation.html | 37 - GGIR-3.1-1/GGIR/inst/doc/chapter7_DescribingDataWithoutKnowingSleep.Rmd | 46 +- GGIR-3.1-1/GGIR/inst/doc/chapter7_DescribingDataWithoutKnowingSleep.html | 85 ++-- GGIR-3.1-1/GGIR/inst/doc/readmyacccsv.Rmd | 2 GGIR-3.1-1/GGIR/inst/doc/readmyacccsv.html | 2 GGIR-3.1-1/GGIR/inst/testfiles/ActiGraph13_timestamps_headers.csv |only GGIR-3.1-1/GGIR/man/GGIR-package.Rd | 4 GGIR-3.1-1/GGIR/man/GGIR.Rd | 14 GGIR-3.1-1/GGIR/tests/testthat/test_convertExtEpochData.R | 20 GGIR-3.1-1/GGIR/tests/testthat/test_ginspectfile_csvgz.R |only GGIR-3.1-1/GGIR/tests/testthat/test_greadaccfile.R | 4 GGIR-3.1-1/GGIR/vignettes/CutPoints.Rmd | 2 GGIR-3.1-1/GGIR/vignettes/ExternalFunction.Rmd | 2 GGIR-3.1-1/GGIR/vignettes/GGIR.Rmd | 190 --------- GGIR-3.1-1/GGIR/vignettes/GGIRParameters.Rmd | 2 GGIR-3.1-1/GGIR/vignettes/HouseHoldCoanalysis.Rmd | 2 GGIR-3.1-1/GGIR/vignettes/TutorialDaySegmentAnalyses.Rmd | 2 GGIR-3.1-1/GGIR/vignettes/chapter0_Contributing.Rmd |only GGIR-3.1-1/GGIR/vignettes/chapter0_GetStarted.Rmd | 10 GGIR-3.1-1/GGIR/vignettes/chapter0_Installation.Rmd | 4 GGIR-3.1-1/GGIR/vignettes/chapter0_Support.Rmd | 42 +- GGIR-3.1-1/GGIR/vignettes/chapter1_WhatIsGGIR.Rmd | 40 - GGIR-3.1-1/GGIR/vignettes/chapter2_Pipeline.Rmd | 58 +- GGIR-3.1-1/GGIR/vignettes/chapter3_QualityAssessment.Rmd | 42 +- GGIR-3.1-1/GGIR/vignettes/chapter4_AccMetrics.Rmd | 76 ++- GGIR-3.1-1/GGIR/vignettes/chapter5_StudyProtocol.Rmd | 24 - GGIR-3.1-1/GGIR/vignettes/chapter6_DataImputation.Rmd | 17 GGIR-3.1-1/GGIR/vignettes/chapter7_DescribingDataWithoutKnowingSleep.Rmd | 46 +- GGIR-3.1-1/GGIR/vignettes/readmyacccsv.Rmd | 2 78 files changed, 1115 insertions(+), 1467 deletions(-)
Title: Genomic Annotation in Livestock for Positional Candidate LOci
Description: The accurate annotation of genes and Quantitative Trait Loci (QTLs) located within candidate markers and/or regions (haplotypes, windows, CNVs, etc) is a crucial step the most common genomic analyses performed in livestock, such as Genome-Wide Association Studies or transcriptomics. The Genomic Annotation in Livestock for positional candidate LOci (GALLO) is an R package designed to provide an intuitive and straightforward environment to annotate positional candidate genes and QTLs from high-throughput genetic studies in livestock. Moreover, GALLO allows the graphical visualization of gene and QTL annotation results, data comparison among different grouping factors (e.g., methods, breeds, tissues, statistical models, studies, etc.), and QTL enrichment in different livestock species including cattle, pigs, sheep, and chicken, among others.
Author: Pablo Fonseca [aut, cre],
Aroa Suarez-Vega [aut],
Gabriele Marras [aut],
Angela Canovas [aut]
Maintainer: Pablo Fonseca <pfonseca@uoguelph.ca>
Diff between GALLO versions 1.4 dated 2024-03-13 and 1.5 dated 2024-06-04
DESCRIPTION | 8 ++++---- MD5 | 17 +++++++++-------- NEWS | 14 ++++++++++---- R/Davies_ld.R |only R/Global.R | 8 ++++---- R/Nmarkers_SimpleM.R | 27 ++++++++++++++------------- R/WZ_ld.R | 2 +- R/gene_pval.R | 50 +++++++++++++++++++++++--------------------------- R/meta_LD.R | 4 ++-- inst/doc/GALLO.html | 32 ++++++++++++++++---------------- 10 files changed, 83 insertions(+), 79 deletions(-)
More information about DrugUtilisation at CRAN
Permanent link
Title: Lightweight Interface to TIGER/Line Shapefiles
Description: Download geographic shapes from the United States Census Bureau
TIGER/Line Shapefiles <https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html>.
Functions support downloading and reading in geographic boundary data.
All downloads can be set up with a cache to avoid multiple downloads.
Data is available back to 2000 for most geographies.
Author: Christopher T. Kenny [aut, cre]
,
Cory McCartan [aut]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>
Diff between tinytiger versions 0.0.8 dated 2023-10-17 and 0.0.9 dated 2024-06-04
DESCRIPTION | 10 - MD5 | 174 +++++++++++++++++----------------- NAMESPACE | 2 NEWS.md | 4 R/address_ranges.R | 4 R/ai_an_nh_areas.R | 2 R/anrc.R | 2 R/area_landmarks.R | 4 R/area_water.R | 4 R/block_groups.R | 2 R/blocks.R | 2 R/coastline.R | 4 R/congressional_districts.R | 36 +++++-- R/consolidated_cities.R | 2 R/counties.R | 2 R/county_subdivisions.R | 2 R/elementary_school_districts.R | 2 R/estates.R | 4 R/linear_water.R | 4 R/lookup.R | 8 + R/military.R | 4 R/new_england_city.R | 4 R/places.R | 2 R/point_landmarks.R | 4 R/polygon_edges.R | 4 R/polygon_faces.R | 4 R/primary_roads.R | 4 R/primary_secondary_roads.R | 4 R/puma.R | 14 +- R/rails.R | 4 R/roads.R | 4 R/secondary_school_districts.R | 2 R/state_leg_lower.R | 2 R/state_leg_upper.R | 2 R/states.R | 2 R/subbarrio.R | 4 R/tinytiger-package.R | 6 - R/tract.R | 2 R/tribal_block_groups.R | 4 R/tribal_subdivisions.R | 4 R/tribal_tracts.R | 4 R/uac.R | 14 +- R/unified_school_districts.R | 2 R/utils.R | 2 R/voting_districts.R | 2 R/zcta.R | 4 build/vignette.rds |binary inst/doc/tinytiger.R | 8 - inst/doc/tinytiger.html | 37 ++++--- man/tt_address_ranges.Rd | 2 man/tt_ai_an_nh_areas.Rd | 2 man/tt_anrc.Rd | 2 man/tt_area_landmarks.Rd | 2 man/tt_area_water.Rd | 2 man/tt_block_groups.Rd | 2 man/tt_blocks.Rd | 2 man/tt_coastline.Rd | 2 man/tt_congressional_districts.Rd | 2 man/tt_consolidated_cities.Rd | 2 man/tt_counties.Rd | 2 man/tt_county_subdivisions.Rd | 2 man/tt_elementary_school_districts.Rd | 2 man/tt_estates.Rd | 2 man/tt_linear_water.Rd | 2 man/tt_military.Rd | 2 man/tt_new_england_cities.Rd | 2 man/tt_places.Rd | 2 man/tt_point_landmarks.Rd | 2 man/tt_polygon_edges.Rd | 2 man/tt_polygon_faces.Rd | 2 man/tt_primary_roads.Rd | 2 man/tt_primary_secondary_roads.Rd | 2 man/tt_puma.Rd | 2 man/tt_rails.Rd | 2 man/tt_roads.Rd | 2 man/tt_secondary_school_districts.Rd | 2 man/tt_state_leg_lower.Rd | 2 man/tt_state_leg_upper.Rd | 2 man/tt_states.Rd | 2 man/tt_subbarrios.Rd | 2 man/tt_tracts.Rd | 2 man/tt_tribal_block_groups.Rd | 2 man/tt_tribal_subdivisions.Rd | 2 man/tt_tribal_tracts.Rd | 2 man/tt_uac.Rd | 2 man/tt_unified_school_districts.Rd | 2 man/tt_voting_districts.Rd | 2 man/tt_zcta.Rd | 2 88 files changed, 275 insertions(+), 230 deletions(-)
Title: PLINK 2 Binary (.pgen) Reader
Description: A thin wrapper over PLINK 2's core libraries which provides an R
interface for reading .pgen files. A minimal .pvar loader is also
included. Chang et al. (2015) \doi{10.1186/s13742-015-0047-8}.
Author: Christopher Chang [aut, cre],
Eric Biggers [ctb, cph] ,
Yann Collet [ctb] ,
Meta Platforms, Inc. [cph] ,
Evan Nemerson [ctb, cph] ,
Przemyslaw Skibinski [ctb] ,
Nick Terrell [ctb]
Maintainer: Christopher Chang <chrchang@alumni.caltech.edu>
Diff between pgenlibr versions 0.3.6 dated 2024-05-27 and 0.3.7 dated 2024-06-04
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NEWS.md | 4 ++++ configure.ac | 2 +- src/Makevars.win | 14 ++++++++++---- 5 files changed, 23 insertions(+), 13 deletions(-)
Title: Basic Wavelet Routines for One-, Two-, and Three-Dimensional
Signal Processing
Description: Basic wavelet routines for time series (1D), image (2D) and array
(3D) analysis. The code provided here is based on wavelet methodology
developed in Percival and Walden (2000); Gencay, Selcuk and Whitcher (2001);
the dual-tree complex wavelet transform (DTCWT) from Kingsbury (1999, 2001) as
implemented by Selesnick; and Hilbert wavelet pairs (Selesnick 2001, 2002).
All figures in chapters 4-7 of GSW (2001) are reproducible using this package
and R code available at the book website(s) below.
Author: Brandon Whitcher
Maintainer: Brandon Whitcher <bwhitcher@gmail.com>
Diff between waveslim versions 1.8.4 dated 2022-08-14 and 1.8.5 dated 2024-06-04
waveslim-1.8.4/waveslim/src/bell-p-w.f |only waveslim-1.8.5/waveslim/DESCRIPTION | 12 ++--- waveslim-1.8.5/waveslim/MD5 | 17 +++----- waveslim-1.8.5/waveslim/NAMESPACE | 1 waveslim-1.8.5/waveslim/R/cov.R | 3 - waveslim-1.8.5/waveslim/R/tapers.R | 61 ++---------------------------- waveslim-1.8.5/waveslim/man/dpss.taper.Rd | 31 +-------------- waveslim-1.8.5/waveslim/man/dwpt.sim.Rd | 4 - waveslim-1.8.5/waveslim/man/sine.taper.Rd | 3 - waveslim-1.8.5/waveslim/src/init.c | 10 ---- 10 files changed, 29 insertions(+), 113 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 a work in progress vignette.
Author: Ben Sherwood [aut, cre], Adam Maidman [aut], Shaobo Li [aut]
Maintainer: Ben Sherwood <ben.sherwood@ku.edu>
Diff between rqPen versions 4.1 dated 2024-05-07 and 4.1.1 dated 2024-06-04
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NEWS | 4 ++++ R/mainFunctions.R | 2 ++ build/partial.rdb |binary 5 files changed, 14 insertions(+), 8 deletions(-)
Title: Server-Side Syntax Highlighting
Description: Prism <https://prismjs.com/> is a lightweight, extensible syntax
highlighter, built with modern web standards in mind. This package provides
server-side rendering in R using 'V8' such that no JavaScript library is
required in the resulting HTML documents. Over 400 languages are supported.
Author: Jeroen Ooms [aut, cre] ,
Lea Verou [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between prismjs versions 1.1.0 dated 2022-12-02 and 2.0.0 dated 2024-06-04
DESCRIPTION | 8 ++++---- LICENSE | 2 +- MD5 | 8 ++++---- NEWS | 4 ++++ R/highlight.R | 4 +++- 5 files changed, 16 insertions(+), 10 deletions(-)
Title: Create Consort Diagram
Description: To make it easy to create CONSORT diagrams for the transparent reporting of participant allocation in randomized, controlled clinical trials. This is done by creating a standardized disposition data, and using this data as the source for the creation a standard CONSORT diagram. Human effort by supplying text labels on the node can also be achieved.
Author: Alim Dayim [aut, cre]
Maintainer: Alim Dayim <ad938@cam.ac.uk>
Diff between consort versions 1.2.1 dated 2023-09-22 and 1.2.2 dated 2024-06-04
DESCRIPTION | 9 MD5 | 92 +- NEWS.md | 8 R/add_split.R | 64 + R/build_grid.R | 13 R/build_grviz.R | 87 ++ R/consort_plot.R | 271 ++++++- R/data.R |only R/gen_text.R | 2 R/get_coords.R | 8 R/grid_util.R | 64 + R/grviz_util.R | 182 ++++- R/textbox.R | 10 build/vignette.rds |binary data |only inst/doc/consort_diagram.R | 242 +++---- inst/doc/consort_diagram.Rmd | 295 ++++---- inst/doc/consort_diagram.html | 550 +++++++++------- inst/examples/consort-plot-example.R | 87 -- man/add_split.Rd | 10 man/connect_box.Rd | 78 +- man/consort_plot.Rd | 101 -- man/dispos.data.Rd |only man/get_coords.Rd | 70 +- man/move_box.Rd | 62 - tests/testthat/Rplots.pdf |binary tests/testthat/_snaps/auto/auto-grviz.gv | 41 - tests/testthat/_snaps/auto/auto-last-grviz.gv | 42 - tests/testthat/_snaps/auto/auto-nolab-grviz.gv | 31 tests/testthat/_snaps/auto/autogen-last.png |binary tests/testthat/_snaps/auto/autogen-nolab.png |binary tests/testthat/_snaps/auto/autogen.png |binary tests/testthat/_snaps/build_grviz/build-grviz.png |binary tests/testthat/_snaps/build_grviz/empty-middle-grviz.gv | 25 tests/testthat/_snaps/build_grviz/end-miss-grviz.gv | 32 tests/testthat/_snaps/build_grviz/end-miss-grviz.png |binary tests/testthat/_snaps/build_grviz/grviz.gv | 38 - tests/testthat/_snaps/build_grviz/multi-miss-grviz.gv | 36 - tests/testthat/_snaps/build_grviz/multi-miss-grviz.png |binary tests/testthat/_snaps/build_grviz/split-comb-grviz.gv | 57 + tests/testthat/_snaps/manually/manually-gen.png |binary tests/testthat/_snaps/multiple-split |only tests/testthat/test-auto.R | 10 tests/testthat/test-build_grviz.R | 11 tests/testthat/test-gen_text.R | 4 tests/testthat/test-manually.R | 3 tests/testthat/test-multiple-split.R |only vignettes/consort_diagram.Rmd | 295 ++++---- 48 files changed, 1741 insertions(+), 1189 deletions(-)
Title: Causally Interpretable Meta-Analysis
Description: Provides robust and efficient methods for estimating causal effects in a target population using a multi-source dataset, including those of Dahabreh et al. (2019) <doi:10.1111/biom.13716>, Robertson et al. (2021) <doi:10.48550/arXiv.2104.05905>, and Wang et al. (2024) <doi:10.48550/arXiv.2402.02684>. The multi-source data can be a collection of trials, observational studies, or a combination of both, which have the same data structure (outcome, treatment, and covariates). The target population can be based on an internal dataset or an external dataset where only covariate information is available. The causal estimands available are average treatment effects and subgroup treatment effects. See Wang et al. (2024) <doi:10.48550/arXiv.2402.04341> for a detailed guide on using the package.
Author: Yi Lian [aut],
Guanbo Wang [aut],
Sean McGrath [aut, cre] ,
Issa Dahabreh [aut]
Maintainer: Sean McGrath <sean_mcgrath@g.harvard.edu>
Diff between CausalMetaR versions 0.1.1 dated 2024-01-15 and 0.1.2 dated 2024-06-04
DESCRIPTION | 11 ++++++----- MD5 | 19 ++++++++++--------- NEWS.md |only R/ATE_external.R | 7 ++++--- R/ATE_internal.R | 7 ++++--- R/STE_external.R | 7 +++++-- R/STE_internal.R | 7 +++++-- man/ATE_external.Rd | 4 +++- man/ATE_internal.Rd | 4 +++- man/STE_external.Rd | 5 +++++ man/STE_internal.Rd | 5 +++++ 11 files changed, 50 insertions(+), 26 deletions(-)
Title: Bayesian Survival Models for High-Dimensional Data
Description: An implementation of Bayesian survival models with graph-structured selection priors for sparse identification of omics features predictive of survival (Madjar et al., 2021 <doi:10.1186/s12859-021-04483-z>) and its extension to use a fixed graph via a Markov Random Field (MRF) prior for capturing known structure of omics features, e.g. disease-specific pathways from the Kyoto Encyclopedia of Genes and Genomes database.
Author: Zhi Zhao [aut, cre],
Katrin Madjar [aut],
Tobias Oestmo Hermansen [aut],
Manuela Zucknick [ctb],
Joerg Rahnenfuehrer [ctb]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>
Diff between BayesSurvive versions 0.0.1 dated 2024-04-23 and 0.0.2 dated 2024-06-04
DESCRIPTION | 9 ++++--- MD5 | 43 +++++++++++++++++++++-------------- NAMESPACE | 2 + NEWS.md | 7 +++++ R/BayesSurvive.R | 43 +++++++++++++++++++---------------- R/UpdateRPlee11.R | 13 +++++++--- R/VS.R |only R/coef.BayesSurvive.R |only R/func_MCMC.R | 34 ++++++++++++++++++++-------- R/func_MCMC_graph.R | 22 +++++++++++------- R/plot.BayesSurvive.R | 32 +++++++++++++------------- R/plotBrier.R | 4 +-- R/predict.BayesSurvive.R | 31 ++++++++++++++----------- R/updatePara.R | 53 ++++++++++++++++++++++++++++++-------------- README.md | 49 +++++++++++++++++++++++++++------------- build/partial.rdb |binary build/vignette.rds |only inst |only man/UpdateGamma.Rd | 2 - man/VS.Rd |only man/coef.BayesSurvive.Rd |only man/func_MCMC.Rd | 6 ++-- man/func_MCMC_graph.Rd | 6 ++-- man/predict.BayesSurvive.Rd | 9 ++++--- vignettes |only 25 files changed, 229 insertions(+), 136 deletions(-)
Title: Variational Bayes for Fast and Accurate Empirical Likelihood
Inference
Description: Computes the Gaussian variational approximation of the Bayesian
empirical likelihood posterior. This is an implementation of the function
found in Yu, W., & Bondell, H. D. (2023) <doi:10.1080/01621459.2023.2169701>.
Author: Wei-Chang Yu [aut] ,
Jeremy Lim [cre, aut]
Maintainer: Jeremy Lim <jeremy.lim@unimelb.edu.au>
Diff between VBel versions 1.0 dated 2024-05-28 and 1.0.1 dated 2024-06-04
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- README.md | 1 + build/partial.rdb |binary src/compute-GVA-functions-Rcpp.cpp | 2 +- 5 files changed, 9 insertions(+), 8 deletions(-)
Title: Multiple Change Point Detection in Structural VAR Models
Description: Implementations of Thresholded Block Segmentation Scheme (TBSS) and Low-rank plus Sparse Two Step Procedure (LSTSP) algorithms for detecting multiple changes in structural VAR models. The package aims to address the problem of change point detection in piece-wise stationary VAR models, under different settings regarding the structure of their transition matrices (autoregressive dynamics); specifically, the following cases are included: (i) (weakly) sparse, (ii) structured sparse, and (iii) low rank plus sparse. It includes multiple algorithms and related extensions from Safikhani and Shojaie (2020) <doi:10.1080/01621459.2020.1770097> and Bai, Safikhani and Michailidis (2020) <doi:10.1109/TSP.2020.2993145>.
Author: Yue Bai [aut, cre],
Peiliang Bai [aut],
Abolfazl Safikhani [aut],
George Michailidis [aut]
Maintainer: Yue Bai <baiyue69@gmail.com>
Diff between VARDetect versions 0.1.6 dated 2022-05-10 and 0.1.7 dated 2024-06-04
DESCRIPTION | 20 MD5 | 45 NAMESPACE | 80 R/Functions_BSS_SGL.R | 6817 +++++++++++++++++------------------ R/Functions_LpS.R | 1875 ++++----- R/RcppExports.R | 102 man/BIC.Rd | 4 man/detection_check.Rd | 6 man/eval_func.Rd | 4 man/hausdorff_check.Rd | 10 man/lag_selection.Rd |only man/lstsp.Rd | 24 man/plot_granger.Rd | 2 man/plot_matrix.Rd | 21 man/remove.extra.pts.Rd | 2 man/second.step.local.Rd | 2 man/simu_lstsp.Rd | 14 man/simu_tbss.Rd | 13 man/simu_var.Rd | 19 man/summary.VARDetect.simu.result.Rd | 8 man/tbss.Rd | 227 - man/third.step.exhaustive.search.Rd | 2 src/Makevars | 5 src/Makevars.win | 5 24 files changed, 4639 insertions(+), 4668 deletions(-)
More information about valueSetCompare at CRAN
Permanent link
Title: Generate Universally Unique 'Lexicographically' 'Sortable'
Identifiers
Description: Universally unique identifiers ('UUIDs') can be sub-optimal for many
uses-cases because they are not the most character efficient way of encoding
128 bits of randomness; v1/v2 versions are impractical in many environments,
as they require access to a unique, stable MAC address; v3/v5 versions require
a unique seed and produce randomly distributed IDs, which can cause fragmentation
in many data structures; v4 provides no other information than randomness which
can cause fragmentation in many data structures. Providing an alternative, 'ULIDs'
(<https://github.com/ulid/spec>) have 128-bit compatibility with 'UUID', 1.21e+24
unique 'ULIDs' per millisecond, support standard (text) sorting, canonically encoded
as a 26 character string, as opposed to the 36 character 'UUID', use 'base32'
encoding for better efficiency and readability (5 bits per character), are case
insensitive, have no special characters (i.e. are 'URL' safe) and have a monotonic
sort order (correctly detects and handl [...truncated...]
Author: Bob Rudis [aut] ,
Suyash Verma [aut] ,
Dirk Eddelbuettel [cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between ulid versions 0.3.1 dated 2024-04-02 and 0.4.0 dated 2024-06-04
ChangeLog | 41 + DESCRIPTION | 8 MD5 | 22 R/RcppExports.R | 12 inst/NEWS.Rd | 10 inst/tinytest/test_ulid.R | 16 man/ulid.Rd | 13 src/Makevars |only src/Makevars.win |only src/RcppExports.cpp | 6 src/ulid/ulid_struct.h | 1023 +++++++++++++++++++++++----------------------- src/ulid/ulid_uint128.h | 531 +++++++++++------------ src/wrapper.cpp | 31 - 13 files changed, 900 insertions(+), 813 deletions(-)
Title: Tidy Structural Equation Modeling
Description: A tidy workflow for generating, estimating, reporting,
and plotting structural equation models using 'lavaan', 'OpenMx', or
'Mplus'. Throughout this workflow, elements of syntax, results, and graphs
are represented as 'tidy' data, making them easy to customize.
Includes functionality to estimate latent class analyses.
Author: Caspar J. van Lissa [aut, cre]
,
Mauricio Garnier-Villarreal [ctb]
,
Frank C Gootjes [ctb]
Maintainer: Caspar J. van Lissa <c.j.vanlissa@tilburguniversity.edu>
Diff between tidySEM versions 0.2.6 dated 2023-10-24 and 0.2.7 dated 2024-06-04
DESCRIPTION | 27 MD5 | 107 +-- NAMESPACE | 27 R/dagitty.R | 4 R/mixture-3step.R | 4 R/mixture-pseudo_class.R |only R/mixture_predict.R | 11 R/mixture_summaries.R | 4 R/mplus_functions.R | 4 R/mx_mixture.R | 4 R/openmx_functions.R | 4 R/plot-bivariate.R | 1 R/plot-generate_layout.R | 8 R/plot-plot_sem.R | 94 +- R/plot-thresholds.R | 2 R/plot_merge.R | 103 +- R/results-table_fit.R | 2 R/results-table_results.R | 14 R/results-table_results_mx_model.R | 2 R/select_rows.R | 794 +++++++++++------------ R/syntax-add_paths.R | 2 R/syntax-cfa.R | 3 R/syntax-cors.R | 1 R/syntax-create_scales.R | 1 R/syntax-get_data.R | 2 R/syntax-run.R | 4 R/syntax_factor.R | 2 build/partial.rdb |binary build/vignette.rds |binary inst/doc/Generating_syntax.R | 30 inst/doc/Generating_syntax.Rmd | 2 inst/doc/Generating_syntax.html | 14 inst/doc/Plotting_graphs.R | 110 ++- inst/doc/Plotting_graphs.Rmd | 66 + inst/doc/Plotting_graphs.html | 68 + inst/doc/SMART_LCA_checklist.html | 2 inst/doc/Tabulating_results.R | 22 inst/doc/Tabulating_results.html | 4 inst/doc/lca_confirmatory.R | 14 inst/doc/lca_confirmatory.html | 2 inst/doc/lca_exploratory.R | 14 inst/doc/lca_exploratory.html | 2 inst/doc/lca_lcga.R | 14 inst/doc/lca_lcga.html | 2 inst/doc/lca_ordinal.R | 12 inst/doc/lca_ordinal.html | 2 inst/doc/sem_graph.R | 6 inst/doc/sem_graph.html | 14 man/append_class_draws.Rd |only man/prepare_graph.Rd | 24 man/pseudo_class.Rd |only tests/testthat/test-lr_test_negative_df.R | 4 tests/testthat/test-namespace_checks_dominique.R |only tests/testthat/test-plot_digits.R | 6 tests/testthat/test-pseudo_class_technique.R |only vignettes/Generating_syntax.Rmd | 2 vignettes/Plotting_graphs.Rmd | 66 + 57 files changed, 1007 insertions(+), 726 deletions(-)
Title: Spatio-Temporal Point Pattern Methods, Model Fitting,
Diagnostics, Simulation, Local Tests
Description: Toolbox for different kinds of spatio-temporal analyses to be performed on observed point patterns, following the growing stream of literature on point process theory. This R package implements functions to perform different kinds of analyses on point processes, proposed in the papers (Siino, Adelfio, and Mateu 2018<doi:10.1007/s00477-018-1579-0>; Siino et al. 2018<doi:10.1002/env.2463>; Adelfio et al. 2020<doi:10.1007/s00477-019-01748-1>; D’Angelo, Adelfio, and Mateu 2021<doi:10.1016/j.spasta.2021.100534>; D’Angelo, Adelfio, and Mateu 2022<doi:10.1007/s00362-022-01338-4>; D’Angelo, Adelfio, and Mateu 2023<doi:10.1016/j.csda.2022.107679>). The main topics include modeling, statistical inference, and simulation issues on spatio-temporal point processes on Euclidean space and linear networks.
Author: Nicoletta D'Angelo [aut, cre] ,
Giada Adelfio [aut]
Maintainer: Nicoletta D'Angelo <nicoletta.dangelo@unipa.it>
Diff between stopp versions 0.2.3 dated 2024-04-18 and 0.2.4 dated 2024-06-04
DESCRIPTION | 10 +++++----- MD5 | 12 ++++++------ NAMESPACE | 3 ++- R/internals.R | 4 ++-- R/localSTLginhom.R | 4 ++-- R/stppm.R | 13 +++++++++---- man/stppm.Rd | 3 +++ 7 files changed, 29 insertions(+), 20 deletions(-)
Title: Deploy Docs, Apps, and APIs to 'Posit Connect', 'shinyapps.io',
and 'RPubs'
Description: Programmatic deployment interface for 'RPubs',
'shinyapps.io', and 'Posit Connect'. Supported content types include R
Markdown documents, Shiny applications, Plumber APIs, plots, and
static web content.
Author: Aron Atkins [aut, cre],
Toph Allen [aut],
Hadley Wickham [aut],
Jonathan McPherson [aut],
JJ Allaire [aut],
Posit Software, PBC [cph, fnd]
Maintainer: Aron Atkins <aron@posit.co>
Diff between rsconnect versions 1.3.0 dated 2024-05-24 and 1.3.1 dated 2024-06-04
rsconnect-1.3.0/rsconnect/tests/testthat/project-MASS |only rsconnect-1.3.1/rsconnect/DESCRIPTION | 8 ++--- rsconnect-1.3.1/rsconnect/MD5 | 13 ++++---- rsconnect-1.3.1/rsconnect/NEWS.md | 4 ++ rsconnect-1.3.1/rsconnect/tests/testthat/test-bundlePackage.R | 15 ++++++++++ rsconnect-1.3.1/rsconnect/tests/testthat/test-bundlePackagePackrat.R | 1 rsconnect-1.3.1/rsconnect/tests/testthat/test-bundlePackageRenv.R | 13 ++++++++ rsconnect-1.3.1/rsconnect/tests/testthat/test-writeManifest.R | 4 ++ 8 files changed, 47 insertions(+), 11 deletions(-)
Title: Functions for Base Types and Core R and 'Tidyverse' Features
Description: A toolbox for working with base types, core R features
like the condition system, and core 'Tidyverse' features like tidy
evaluation.
Author: Lionel Henry [aut, cre],
Hadley Wickham [aut],
mikefc [cph] ,
Yann Collet [cph] ,
Posit, PBC [cph, fnd]
Maintainer: Lionel Henry <lionel@posit.co>
Diff between rlang versions 1.1.3 dated 2024-01-10 and 1.1.4 dated 2024-06-04
DESCRIPTION | 8 +- MD5 | 88 ++++++++++++++++---------------- NEWS.md | 12 +++- R/aaa.R | 16 ++++- R/c-lib.R | 22 ++++++++ R/call.R | 2 R/cnd-abort.R | 11 ++++ R/dots-ellipsis.R | 3 + R/standalone-s3-register.R | 19 ++++-- R/standalone-vctrs.R | 6 +- R/types.R | 9 +-- R/utils.R | 2 man/abort.Rd | 11 ++++ man/bare-type-predicates.Rd | 5 + man/call2.Rd | 2 man/check_dots_empty.Rd | 6 ++ man/check_dots_unnamed.Rd | 6 ++ man/check_dots_used.Rd | 6 ++ man/cnd_inherits.Rd | 8 ++ man/glue-operators.Rd | 10 +++ man/missing_arg.Rd | 8 ++ man/on_load.Rd | 16 ++++- man/qq_show.Rd | 2 man/rmd/topic-data-mask-programming.Rmd | 2 man/rmd/topic-error-call.Rmd | 2 man/splice-operator.Rd | 4 + man/topic-data-mask-ambiguity.Rd | 2 man/topic-data-mask-programming.Rd | 10 +++ man/topic-data-mask.Rd | 6 ++ man/topic-defuse.Rd | 4 + man/topic-error-call.Rd | 2 man/topic-inject-out-of-context.Rd | 12 ++++ man/topic-inject.Rd | 2 man/topic-metaprogramming.Rd | 6 ++ man/topic-multiple-columns.Rd | 2 man/try_fetch.Rd | 6 +- man/type-predicates.Rd | 4 - src/internal/exported.c | 36 +++++++++++++ src/internal/init.c | 9 ++- src/rlang/dyn-array.h | 12 ++++ src/version.c | 2 tests/testthat/_snaps/cnd-entrace.md | 3 + tests/testthat/test-c-api.R | 44 +++++++++++----- tests/testthat/test-eval-tidy.R | 3 + tests/testthat/test-standalone-vctrs.R | 13 ++++ 45 files changed, 361 insertions(+), 103 deletions(-)
Title: R Interface to SDMX Web Services
Description: Provides functions to retrieve data and metadata from providers
that disseminate data by means of SDMX web services.
SDMX (Statistical Data and Metadata eXchange) is a standard that
has been developed with the aim of simplifying the exchange of
statistical information.
More about the SDMX standard and the SDMX Web Services
can be found at: <https://sdmx.org>.
Author: Attilio Mattiocco, Gianpaolo Lopez, Banca d'Italia
Maintainer: Attilio Mattiocco <attilio.mattiocco@bancaditalia.it>
Diff between RJSDMX versions 3.2-0 dated 2024-04-30 and 3.3-0 dated 2024-06-04
DESCRIPTION | 6 +++--- MD5 | 9 +++++---- NAMESPACE | 1 + R/SdmxClient.R | 5 +++++ inst/java/SDMX.jar |binary man/setProviderCredentials.Rd |only 6 files changed, 14 insertions(+), 7 deletions(-)
More information about RandomProjectionTest at CRAN
Permanent link
Title: Build Panel Data Sets from PSID Raw Data
Description: Makes it easy to build panel data in wide format from Panel Survey
of Income Dynamics ('PSID') delivered raw data. Downloads data directly from
the PSID server using the 'SAScii' package. 'psidR' takes care of merging
data from each wave onto a cross-period index file, so that individuals can be
followed over time. The user must specify which years they are interested in,
and the 'PSID' variable names (e.g. ER21003) for each year (they differ in each
year). The package offers helper functions to retrieve variable names from different
waves. There are different panel data designs and sample subsetting criteria
implemented ("SRC", "SEO", "immigrant" and "latino" samples).
Author: Florian Oswald
Maintainer: Florian Oswald <florian.oswald@gmail.com>
Diff between psidR versions 2.1 dated 2021-05-07 and 2.2 dated 2024-06-04
DESCRIPTION | 10 ++++----- MD5 | 12 +++++------ R/build.panel.r | 40 ++++++++++++++++++++++++++++----------- R/makeids.r | 21 +++++++++++--------- inst/CITATION | 3 -- man/get.psid.Rd | 6 ++--- tests/testthat/test_buildpanel.R | 12 +++++++++++ 7 files changed, 68 insertions(+), 36 deletions(-)
Title: Variable Selection and Inference for Partial Semiparametric
Linear Mixed-Effects Model
Description: Implements a partial linear semiparametric mixed-effects model (PLSMM) featuring a random intercept and applies a lasso penalty to both the fixed effects and the coefficients associated with the nonlinear function.
The model also accommodates interactions between the nonlinear function and a grouping variable, allowing for the capture of group-specific nonlinearities. Nonlinear functions are modeled using a set of bases functions. Estimation is conducted using a penalized Expectation-Maximization algorithm, and the package offers flexibility in choosing between various information criteria for model selection.
Post-selection inference is carried out using a debiasing method, while inference on the nonlinear functions employs a bootstrap approach.
Author: Sami Leon [aut, cre, cph] ,
Tong Tong Wu [ths]
Maintainer: Sami Leon <samileon@hotmail.fr>
Diff between plsmmLasso versions 1.0.0 dated 2024-04-04 and 1.1.0 dated 2024-06-04
DESCRIPTION | 6 +-- MD5 | 46 +++++++++++------------ NEWS.md | 6 +++ R/bootstrap-inference.R | 56 ++++++++++++++++++++-------- R/create-bases.R | 4 +- R/create-simulations.R | 2 - R/plot-fit.R | 21 ++++++---- R/plsmm-lasso.R | 11 +++-- R/tune-plmm.R | 14 +++---- README.md | 60 +----------------------------- man/figures/README-unnamed-chunk-10-1.png |binary man/figures/README-unnamed-chunk-10-2.png |binary man/figures/README-unnamed-chunk-11-1.png |binary man/figures/README-unnamed-chunk-11-2.png |binary man/figures/README-unnamed-chunk-6-1.png |binary man/figures/README-unnamed-chunk-6-2.png |binary man/figures/README-unnamed-chunk-6-3.png |binary man/figures/README-unnamed-chunk-6-4.png |binary man/figures/README-unnamed-chunk-8-1.png |binary man/figures/README-unnamed-chunk-9-1.png |binary man/plot_fit.Rd | 13 ++++++ man/plsmm_lasso.Rd | 7 ++- man/test_f.Rd | 3 + man/tune_plsmm.Rd | 7 +++ 24 files changed, 130 insertions(+), 126 deletions(-)
Title: Interface to the 'Pharmpy' 'Pharmacometrics' Library
Description: Interface to the 'Pharmpy' 'pharmacometrics' library. The 'Reticulate' package is used to interface Python from R.
Author: Rikard Nordgren [aut, cre, cph],
Stella Belin [aut, cph],
Mats O. Karlsson [sad],
Andrew C. Hooker [sad],
Xiaomei Chen [sad],
Sebastian Ueckert [sad] ,
Simon Buatois [rev],
Joao A. Abrantes [rev],
Emilie Schindler [rev],
F. Hoffmann-La Roche Ltd. [fn [...truncated...]
Maintainer: Rikard Nordgren <rikard.nordgren@farmaci.uu.se>
Diff between pharmr versions 0.96.0 dated 2023-06-15 and 1.0.0 dated 2024-06-04
pharmr-0.96.0/pharmr/LICENSE |only pharmr-0.96.0/pharmr/man/add_covariance_step.Rd |only pharmr-0.96.0/pharmr/man/create_results.Rd |only pharmr-0.96.0/pharmr/man/rank_models.Rd |only pharmr-0.96.0/pharmr/man/remove_covariance_step.Rd |only pharmr-0.96.0/pharmr/man/resume_tool.Rd |only pharmr-0.96.0/pharmr/man/retrieve_final_model.Rd |only pharmr-0.96.0/pharmr/man/set_bolus_absorption.Rd |only pharmr-0.96.0/pharmr/man/summarize_errors.Rd |only pharmr-0.96.0/pharmr/man/summarize_individuals.Rd |only pharmr-0.96.0/pharmr/man/summarize_individuals_count_table.Rd |only pharmr-0.96.0/pharmr/man/update_inits.Rd |only pharmr-1.0.0/pharmr/DESCRIPTION | 26 pharmr-1.0.0/pharmr/MD5 | 261 pharmr-1.0.0/pharmr/NAMESPACE | 60 pharmr-1.0.0/pharmr/R/functions_wrapper.R | 3524 ++++++---- pharmr-1.0.0/pharmr/R/internals.R | 3 pharmr-1.0.0/pharmr/README.md | 83 pharmr-1.0.0/pharmr/man/add_admid.Rd |only pharmr-1.0.0/pharmr/man/add_allometry.Rd | 16 pharmr-1.0.0/pharmr/man/add_bioavailability.Rd |only pharmr-1.0.0/pharmr/man/add_cmt.Rd |only pharmr-1.0.0/pharmr/man/add_covariate_effect.Rd | 93 pharmr-1.0.0/pharmr/man/add_derivative.Rd |only pharmr-1.0.0/pharmr/man/add_effect_compartment.Rd |only pharmr-1.0.0/pharmr/man/add_estimation_step.Rd | 8 pharmr-1.0.0/pharmr/man/add_iiv.Rd | 11 pharmr-1.0.0/pharmr/man/add_indirect_effect.Rd |only pharmr-1.0.0/pharmr/man/add_metabolite.Rd | 8 pharmr-1.0.0/pharmr/man/add_parameter_uncertainty_step.Rd |only pharmr-1.0.0/pharmr/man/add_pd_iiv.Rd |only pharmr-1.0.0/pharmr/man/add_peripheral_compartment.Rd | 13 pharmr-1.0.0/pharmr/man/add_predictions.Rd |only pharmr-1.0.0/pharmr/man/add_residuals.Rd |only pharmr-1.0.0/pharmr/man/add_time_after_dose.Rd | 2 pharmr-1.0.0/pharmr/man/append_estimation_step_options.Rd | 6 pharmr-1.0.0/pharmr/man/bin_observations.Rd |only pharmr-1.0.0/pharmr/man/bump_model_number.Rd | 2 pharmr-1.0.0/pharmr/man/calculate_bic.Rd | 8 pharmr-1.0.0/pharmr/man/calculate_individual_parameter_statistics.Rd | 10 pharmr-1.0.0/pharmr/man/calculate_parameters_from_ucp.Rd | 2 pharmr-1.0.0/pharmr/man/calculate_pk_parameters_statistics.Rd | 6 pharmr-1.0.0/pharmr/man/create_basic_pk_model.Rd | 8 pharmr-1.0.0/pharmr/man/create_joint_distribution.Rd | 2 pharmr-1.0.0/pharmr/man/create_symbol.Rd | 2 pharmr-1.0.0/pharmr/man/evaluate_expression.Rd | 2 pharmr-1.0.0/pharmr/man/filter_dataset.Rd |only pharmr-1.0.0/pharmr/man/fit.Rd | 8 pharmr-1.0.0/pharmr/man/fix_or_unfix_parameters.Rd | 6 pharmr-1.0.0/pharmr/man/fix_parameters.Rd | 6 pharmr-1.0.0/pharmr/man/fix_parameters_to.Rd | 6 pharmr-1.0.0/pharmr/man/get_admid.Rd |only pharmr-1.0.0/pharmr/man/get_central_volume_and_clearance.Rd |only pharmr-1.0.0/pharmr/man/get_cmt.Rd | 4 pharmr-1.0.0/pharmr/man/get_covariate_effects.Rd |only pharmr-1.0.0/pharmr/man/get_dv_symbol.Rd | 2 pharmr-1.0.0/pharmr/man/get_individual_parameters.Rd | 17 pharmr-1.0.0/pharmr/man/get_number_of_peripheral_compartments.Rd |only pharmr-1.0.0/pharmr/man/get_number_of_transit_compartments.Rd |only pharmr-1.0.0/pharmr/man/get_observation_expression.Rd | 2 pharmr-1.0.0/pharmr/man/get_observations.Rd | 5 pharmr-1.0.0/pharmr/man/get_parameter_rv.Rd |only pharmr-1.0.0/pharmr/man/get_pd_parameters.Rd |only pharmr-1.0.0/pharmr/man/get_pk_parameters.Rd | 4 pharmr-1.0.0/pharmr/man/get_rv_parameters.Rd | 6 pharmr-1.0.0/pharmr/man/get_unit_of.Rd | 4 pharmr-1.0.0/pharmr/man/has_additive_error_model.Rd | 2 pharmr-1.0.0/pharmr/man/has_combined_error_model.Rd | 2 pharmr-1.0.0/pharmr/man/has_first_order_absorption.Rd |only pharmr-1.0.0/pharmr/man/has_instantaneous_absorption.Rd |only pharmr-1.0.0/pharmr/man/has_presystemic_metabolite.Rd |only pharmr-1.0.0/pharmr/man/has_proportional_error_model.Rd | 2 pharmr-1.0.0/pharmr/man/has_seq_zo_fo_absorption.Rd |only pharmr-1.0.0/pharmr/man/is_real.Rd | 2 pharmr-1.0.0/pharmr/man/is_strictness_fulfilled.Rd |only pharmr-1.0.0/pharmr/man/load_dataset.Rd |only pharmr-1.0.0/pharmr/man/mu_reference_model.Rd | 6 pharmr-1.0.0/pharmr/man/omit_data.Rd | 2 pharmr-1.0.0/pharmr/man/plot_abs_cwres_vs_ipred.Rd |only pharmr-1.0.0/pharmr/man/plot_cwres_vs_idv.Rd |only pharmr-1.0.0/pharmr/man/plot_dv_vs_ipred.Rd |only pharmr-1.0.0/pharmr/man/plot_dv_vs_pred.Rd |only pharmr-1.0.0/pharmr/man/plot_eta_distributions.Rd |only pharmr-1.0.0/pharmr/man/plot_individual_predictions.Rd | 8 pharmr-1.0.0/pharmr/man/plot_iofv_vs_iofv.Rd | 8 pharmr-1.0.0/pharmr/man/plot_vpc.Rd |only pharmr-1.0.0/pharmr/man/predict_influential_individuals.Rd | 3 pharmr-1.0.0/pharmr/man/predict_influential_outliers.Rd | 7 pharmr-1.0.0/pharmr/man/predict_outliers.Rd | 7 pharmr-1.0.0/pharmr/man/print_fit_summary.Rd | 4 pharmr-1.0.0/pharmr/man/read_modelfit_results.Rd | 4 pharmr-1.0.0/pharmr/man/remove_bioavailability.Rd |only pharmr-1.0.0/pharmr/man/remove_derivative.Rd |only pharmr-1.0.0/pharmr/man/remove_estimation_step.Rd | 6 pharmr-1.0.0/pharmr/man/remove_iiv.Rd | 4 pharmr-1.0.0/pharmr/man/remove_loq_data.Rd | 25 pharmr-1.0.0/pharmr/man/remove_parameter_uncertainty_step.Rd |only pharmr-1.0.0/pharmr/man/remove_peripheral_compartment.Rd | 13 pharmr-1.0.0/pharmr/man/remove_predictions.Rd |only pharmr-1.0.0/pharmr/man/remove_residuals.Rd |only pharmr-1.0.0/pharmr/man/rename_symbols.Rd | 2 pharmr-1.0.0/pharmr/man/replace_non_random_rvs.Rd |only pharmr-1.0.0/pharmr/man/resample_data.Rd | 4 pharmr-1.0.0/pharmr/man/retrieve_models.Rd | 8 pharmr-1.0.0/pharmr/man/run_allometry.Rd | 6 pharmr-1.0.0/pharmr/man/run_amd.Rd | 73 pharmr-1.0.0/pharmr/man/run_covsearch.Rd | 32 pharmr-1.0.0/pharmr/man/run_estmethod.Rd | 21 pharmr-1.0.0/pharmr/man/run_iivsearch.Rd | 34 pharmr-1.0.0/pharmr/man/run_iovsearch.Rd | 12 pharmr-1.0.0/pharmr/man/run_linearize.Rd |only pharmr-1.0.0/pharmr/man/run_modelfit.Rd | 9 pharmr-1.0.0/pharmr/man/run_modelsearch.Rd | 17 pharmr-1.0.0/pharmr/man/run_retries.Rd |only pharmr-1.0.0/pharmr/man/run_ruvsearch.Rd | 13 pharmr-1.0.0/pharmr/man/run_simulation.Rd |only pharmr-1.0.0/pharmr/man/run_structsearch.Rd |only pharmr-1.0.0/pharmr/man/run_tool.Rd | 4 pharmr-1.0.0/pharmr/man/sample_individual_estimates.Rd | 6 pharmr-1.0.0/pharmr/man/sample_parameters_from_covariance_matrix.Rd | 6 pharmr-1.0.0/pharmr/man/sample_parameters_uniformly.Rd | 9 pharmr-1.0.0/pharmr/man/set_additive_error_model.Rd | 10 pharmr-1.0.0/pharmr/man/set_baseline_effect.Rd |only pharmr-1.0.0/pharmr/man/set_combined_error_model.Rd | 10 pharmr-1.0.0/pharmr/man/set_dataset.Rd |only pharmr-1.0.0/pharmr/man/set_direct_effect.Rd |only pharmr-1.0.0/pharmr/man/set_estimation_step.Rd | 8 pharmr-1.0.0/pharmr/man/set_evaluation_step.Rd | 8 pharmr-1.0.0/pharmr/man/set_first_order_absorption.Rd | 5 pharmr-1.0.0/pharmr/man/set_iiv_on_ruv.Rd | 16 pharmr-1.0.0/pharmr/man/set_initial_condition.Rd | 4 pharmr-1.0.0/pharmr/man/set_initial_estimates.Rd | 23 pharmr-1.0.0/pharmr/man/set_instantaneous_absorption.Rd |only pharmr-1.0.0/pharmr/man/set_lloq_data.Rd |only pharmr-1.0.0/pharmr/man/set_lower_bounds.Rd | 4 pharmr-1.0.0/pharmr/man/set_michaelis_menten_elimination.Rd | 2 pharmr-1.0.0/pharmr/man/set_mixed_mm_fo_elimination.Rd | 2 pharmr-1.0.0/pharmr/man/set_peripheral_compartments.Rd | 9 pharmr-1.0.0/pharmr/man/set_power_on_ruv.Rd | 13 pharmr-1.0.0/pharmr/man/set_proportional_error_model.Rd | 8 pharmr-1.0.0/pharmr/man/set_reference_values.Rd |only pharmr-1.0.0/pharmr/man/set_seq_zo_fo_absorption.Rd | 2 pharmr-1.0.0/pharmr/man/set_simulation.Rd |only pharmr-1.0.0/pharmr/man/set_time_varying_error_model.Rd | 6 pharmr-1.0.0/pharmr/man/set_tmdd.Rd | 18 pharmr-1.0.0/pharmr/man/set_upper_bounds.Rd | 4 pharmr-1.0.0/pharmr/man/set_zero_order_absorption.Rd | 2 pharmr-1.0.0/pharmr/man/set_zero_order_input.Rd | 2 pharmr-1.0.0/pharmr/man/simplify_expression.Rd | 4 pharmr-1.0.0/pharmr/man/split_joint_distribution.Rd | 4 pharmr-1.0.0/pharmr/man/summarize_modelfit_results.Rd | 15 pharmr-1.0.0/pharmr/man/transform_blq.Rd | 66 pharmr-1.0.0/pharmr/man/transform_etas_boxcox.Rd | 2 pharmr-1.0.0/pharmr/man/transform_etas_john_draper.Rd | 2 pharmr-1.0.0/pharmr/man/transform_etas_tdist.Rd | 2 pharmr-1.0.0/pharmr/man/unconstrain_parameters.Rd | 6 pharmr-1.0.0/pharmr/man/unfix_parameters.Rd | 4 pharmr-1.0.0/pharmr/man/unfix_parameters_to.Rd | 6 pharmr-1.0.0/pharmr/man/unload_dataset.Rd |only pharmr-1.0.0/pharmr/man/use_thetas_for_error_stdev.Rd | 8 pharmr-1.0.0/pharmr/man/write_results.Rd | 4 pharmr-1.0.0/pharmr/tests/testthat/test-transform.R | 10 162 files changed, 3239 insertions(+), 1637 deletions(-)
Title: Threshold Model and Unit Root Tests in Cross-Section and Time
Series Data
Description: Threshold model, panel version of Hylleberg et al. (1990) <DOI:10.1016/0304-4076(90)90080-D> seasonal unit root tests, and panel unit root test of Chang (2002) <DOI:10.1016/S0304-4076(02)00095-7>.
Author: Ho Tsung-wu
Maintainer: Ho Tsung-wu <tsungwu@ntnu.edu.tw>
Diff between pdR versions 1.9.1 dated 2023-08-21 and 1.9.2 dated 2024-06-04
DESCRIPTION | 9 +++++---- MD5 | 8 ++++++-- NAMESPACE | 6 ++++-- R/mis.R |only data/ship.rda |only man/htest_pglm.Rd |only man/ship.Rd |only 7 files changed, 15 insertions(+), 8 deletions(-)
Title: Matching Methods for Causal Inference with Time-Series
Cross-Sectional Data
Description: Implements a set of methodological tools
that enable researchers to apply matching methods to
time-series cross-sectional data. Imai, Kim, and Wang
(2023) <http://web.mit.edu/insong/www/pdf/tscs.pdf>
proposes a nonparametric generalization of the
difference-in-differences estimator, which does not rely
on the linearity assumption as often done in
practice. Researchers first select a method of matching
each treated observation for a given unit in a
particular time period with control observations from
other units in the same time period that have a similar
treatment and covariate history. These methods include
standard matching methods based on propensity score and
Mahalanobis distance, as well as weighting methods. Once
matching and refinement is done,
treatment effects can be estimated with
standard errors. The package also offers diagnostics for researchers to assess the quality
of their results.
Author: In Song Kim [aut, cre],
Adam Rauh [aut],
Erik Wang [aut],
Kosuke Imai [aut]
Maintainer: In Song Kim <insong@mit.edu>
Diff between PanelMatch versions 2.0.1 dated 2022-06-26 and 2.2.0 dated 2024-06-04
PanelMatch-2.0.1/PanelMatch/R/PE_helpers.R |only PanelMatch-2.0.1/PanelMatch/R/PE_lower_level.R |only PanelMatch-2.0.1/PanelMatch/R/exact_match.R |only PanelMatch-2.0.1/PanelMatch/R/matched_set_R.r |only PanelMatch-2.0.1/PanelMatch/R/network_and_caliper.R |only PanelMatch-2.0.1/PanelMatch/R/pm_helpers_r.R |only PanelMatch-2.0.1/PanelMatch/R/utilities.R |only PanelMatch-2.0.1/PanelMatch/man/findContinuousTreated.Rd |only PanelMatch-2.0.1/PanelMatch/src/pm_helpers.cpp |only PanelMatch-2.2.0/PanelMatch/DESCRIPTION | 24 PanelMatch-2.2.0/PanelMatch/MD5 | 148 + PanelMatch-2.2.0/PanelMatch/NAMESPACE | 1 PanelMatch-2.2.0/PanelMatch/R/DisplayTreatment.R | 52 PanelMatch-2.2.0/PanelMatch/R/PanelEstimate.R | 355 ++-- PanelMatch-2.2.0/PanelMatch/R/PanelEstimateObject.R | 138 + PanelMatch-2.2.0/PanelMatch/R/PanelMatch-package.R | 13 PanelMatch-2.2.0/PanelMatch/R/PanelMatch.R | 300 ---- PanelMatch-2.2.0/PanelMatch/R/RcppExports.R | 48 PanelMatch-2.2.0/PanelMatch/R/apply_covs_formula.R |only PanelMatch-2.2.0/PanelMatch/R/balance_scatter.R |only PanelMatch-2.2.0/PanelMatch/R/bootstrap_placebo.R |only PanelMatch-2.2.0/PanelMatch/R/calculate_estimates.R |only PanelMatch-2.2.0/PanelMatch/R/calculate_placebo_estimates.R |only PanelMatch-2.2.0/PanelMatch/R/clean_leads.R |only PanelMatch-2.2.0/PanelMatch/R/data.R | 17 PanelMatch-2.2.0/PanelMatch/R/data_preprocessing.R |only PanelMatch-2.2.0/PanelMatch/R/do_exact_matching.R |only PanelMatch-2.2.0/PanelMatch/R/enforce_lead_restrictions.R |only PanelMatch-2.2.0/PanelMatch/R/estimation_components.R |only PanelMatch-2.2.0/PanelMatch/R/get_covariate_balance.R |only PanelMatch-2.2.0/PanelMatch/R/get_set_treatment_effects.R |only PanelMatch-2.2.0/PanelMatch/R/handle_moderating_variable.R |only PanelMatch-2.2.0/PanelMatch/R/listwise_delete.R | 273 +-- PanelMatch-2.2.0/PanelMatch/R/matched_set_helpers.r |only PanelMatch-2.2.0/PanelMatch/R/matched_set_obj.R | 64 PanelMatch-2.2.0/PanelMatch/R/matching_refinement.R |only PanelMatch-2.2.0/PanelMatch/R/perform_refinement.R |only PanelMatch-2.2.0/PanelMatch/R/placebo_test.R |only PanelMatch-2.2.0/PanelMatch/R/point_estimates.R |only PanelMatch-2.2.0/PanelMatch/R/prepare_data.R |only PanelMatch-2.2.0/PanelMatch/R/propensity_score_utilities.R |only PanelMatch-2.2.0/PanelMatch/R/standard_errors.R |only PanelMatch-2.2.0/PanelMatch/R/weighting_refinement.R |only PanelMatch-2.2.0/PanelMatch/build/vignette.rds |binary PanelMatch-2.2.0/PanelMatch/inst/doc/matched_set_objects.html | 121 - PanelMatch-2.2.0/PanelMatch/inst/doc/using_panelmatch.Rmd | 6 PanelMatch-2.2.0/PanelMatch/inst/doc/using_panelmatch.pdf |binary PanelMatch-2.2.0/PanelMatch/man/DisplayTreatment.Rd | 4 PanelMatch-2.2.0/PanelMatch/man/PanelEstimate.Rd | 50 PanelMatch-2.2.0/PanelMatch/man/PanelMatch-package.Rd | 17 PanelMatch-2.2.0/PanelMatch/man/PanelMatch.Rd | 55 PanelMatch-2.2.0/PanelMatch/man/balance_scatter.Rd | 38 PanelMatch-2.2.0/PanelMatch/man/build_maha_mats.Rd |only PanelMatch-2.2.0/PanelMatch/man/build_ps_data.Rd |only PanelMatch-2.2.0/PanelMatch/man/calculate_estimates.Rd |only PanelMatch-2.2.0/PanelMatch/man/calculate_placebo_estimates.Rd |only PanelMatch-2.2.0/PanelMatch/man/calculate_point_estimates.Rd |only PanelMatch-2.2.0/PanelMatch/man/check_time_data.Rd |only PanelMatch-2.2.0/PanelMatch/man/clean_leads.Rd |only PanelMatch-2.2.0/PanelMatch/man/dem.Rd | 14 PanelMatch-2.2.0/PanelMatch/man/enforce_lead_restrictions.Rd |only PanelMatch-2.2.0/PanelMatch/man/equality_four.Rd |only PanelMatch-2.2.0/PanelMatch/man/equality_four_placebo.Rd |only PanelMatch-2.2.0/PanelMatch/man/expand_treated_ts.Rd |only PanelMatch-2.2.0/PanelMatch/man/extract_differences.Rd |only PanelMatch-2.2.0/PanelMatch/man/findBinaryTreated.Rd | 2 PanelMatch-2.2.0/PanelMatch/man/find_ps.Rd |only PanelMatch-2.2.0/PanelMatch/man/get.matchedsets.Rd | 4 PanelMatch-2.2.0/PanelMatch/man/getDits.Rd |only PanelMatch-2.2.0/PanelMatch/man/getWits.Rd |only PanelMatch-2.2.0/PanelMatch/man/get_covariate_balance.Rd | 27 PanelMatch-2.2.0/PanelMatch/man/get_set_treatment_effects.Rd | 16 PanelMatch-2.2.0/PanelMatch/man/handle_bootstrap.Rd |only PanelMatch-2.2.0/PanelMatch/man/handle_bootstrap_parallel.Rd |only PanelMatch-2.2.0/PanelMatch/man/handle_bootstrap_placebo.Rd |only PanelMatch-2.2.0/PanelMatch/man/handle_bootstrap_placebo_parallel.Rd |only PanelMatch-2.2.0/PanelMatch/man/handle_conditional_se.Rd |only PanelMatch-2.2.0/PanelMatch/man/handle_mahalanobis_calculations.Rd |only PanelMatch-2.2.0/PanelMatch/man/handle_missing_data.Rd |only PanelMatch-2.2.0/PanelMatch/man/handle_moderating_variable.Rd |only PanelMatch-2.2.0/PanelMatch/man/handle_ps_match.Rd |only PanelMatch-2.2.0/PanelMatch/man/handle_ps_weighted.Rd |only PanelMatch-2.2.0/PanelMatch/man/handle_unconditional_se.Rd |only PanelMatch-2.2.0/PanelMatch/man/identifyDirectionalChanges.Rd |only PanelMatch-2.2.0/PanelMatch/man/lwd_refinement.Rd |only PanelMatch-2.2.0/PanelMatch/man/lwd_units.Rd |only PanelMatch-2.2.0/PanelMatch/man/matched_set.Rd | 2 PanelMatch-2.2.0/PanelMatch/man/merge_formula.Rd |only PanelMatch-2.2.0/PanelMatch/man/parse_and_prep.Rd |only PanelMatch-2.2.0/PanelMatch/man/pcs.Rd |only PanelMatch-2.2.0/PanelMatch/man/perform_refinement.Rd |only PanelMatch-2.2.0/PanelMatch/man/perunitSum.Rd |only PanelMatch-2.2.0/PanelMatch/man/perunitSum_Dit.Rd |only PanelMatch-2.2.0/PanelMatch/man/placebo_test.Rd | 25 PanelMatch-2.2.0/PanelMatch/man/plot.PanelEstimate.Rd | 26 PanelMatch-2.2.0/PanelMatch/man/plot.matched.set.Rd | 18 PanelMatch-2.2.0/PanelMatch/man/prepare_data.Rd |only PanelMatch-2.2.0/PanelMatch/man/print.matched.set.Rd | 4 PanelMatch-2.2.0/PanelMatch/man/set_lwd_refinement.Rd |only PanelMatch-2.2.0/PanelMatch/man/summary.PanelEstimate.Rd | 10 PanelMatch-2.2.0/PanelMatch/man/summary.matched.set.Rd | 6 PanelMatch-2.2.0/PanelMatch/src/PanelEstimate_helpers.cpp | 5 PanelMatch-2.2.0/PanelMatch/src/PanelMatch_helpers.cpp |only PanelMatch-2.2.0/PanelMatch/src/RcppExports.cpp | 178 +- PanelMatch-2.2.0/PanelMatch/src/init.c | 6 PanelMatch-2.2.0/PanelMatch/src/matched_set_helpers.cpp | 32 PanelMatch-2.2.0/PanelMatch/tests/manual_tests |only PanelMatch-2.2.0/PanelMatch/tests/testthat.R | 2 PanelMatch-2.2.0/PanelMatch/tests/testthat/test-PanelMatch.R | 750 ---------- PanelMatch-2.2.0/PanelMatch/vignettes/using_panelmatch.Rmd | 6 110 files changed, 986 insertions(+), 1871 deletions(-)
Title: NNG (Nanomsg Next Gen) Lightweight Messaging Library
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. NNG is
a socket library implementing 'Scalability Protocols', a reliable,
high-performance standard for common communications patterns including
publish/subscribe, request/reply and service discovery, over in-process,
IPC, TCP, WebSocket and secure TLS transports. As its own threaded
concurrency framework, provides a toolkit for asynchronous programming and
distributed computing, with intuitive 'aio' objects which resolve
automatically upon completion of asynchronous operations, and
synchronisation primitives allowing R to wait upon events signalled by
concurrent threads.
Author: Charlie Gao [aut, cre] ,
Hibiki AI Limited [cph],
R Consortium [fnd]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>
Diff between nanonext versions 1.0.0 dated 2024-05-01 and 1.1.0 dated 2024-06-04
nanonext-1.0.0/nanonext/man/figures/RConsortium.png |only nanonext-1.0.0/nanonext/src/nng-aac4dc3.tar.xz |only nanonext-1.1.0/nanonext/DESCRIPTION | 6 nanonext-1.1.0/nanonext/MD5 | 82 +-- nanonext-1.1.0/nanonext/NAMESPACE | 3 nanonext-1.1.0/nanonext/NEWS.md | 17 nanonext-1.1.0/nanonext/R/aio.R | 143 +++-- nanonext-1.1.0/nanonext/R/context.R | 73 +-- nanonext-1.1.0/nanonext/R/messenger.R | 2 nanonext-1.1.0/nanonext/R/nanonext-package.R | 8 nanonext-1.1.0/nanonext/R/ncurl.R | 2 nanonext-1.1.0/nanonext/R/sync.R | 25 - nanonext-1.1.0/nanonext/R/utils.R | 15 nanonext-1.1.0/nanonext/README.md | 17 nanonext-1.1.0/nanonext/configure | 2 nanonext-1.1.0/nanonext/configure.ucrt | 2 nanonext-1.1.0/nanonext/inst/doc/nanonext.Rmd | 99 ++-- nanonext-1.1.0/nanonext/inst/doc/nanonext.html | 42 - nanonext-1.1.0/nanonext/man/call_aio.Rd | 14 nanonext-1.1.0/nanonext/man/collect_aio.Rd |only nanonext-1.1.0/nanonext/man/cv.Rd | 6 nanonext-1.1.0/nanonext/man/dot-unresolved.Rd | 20 nanonext-1.1.0/nanonext/man/figures/logo.png |binary nanonext-1.1.0/nanonext/man/pipe_notify.Rd | 19 nanonext-1.1.0/nanonext/man/recv_aio.Rd | 32 - nanonext-1.1.0/nanonext/man/recv_aio_signal.Rd |only nanonext-1.1.0/nanonext/man/request.Rd | 76 +-- nanonext-1.1.0/nanonext/man/request_signal.Rd |only nanonext-1.1.0/nanonext/man/status_code.Rd | 3 nanonext-1.1.0/nanonext/man/stop_aio.Rd | 4 nanonext-1.1.0/nanonext/man/strcat.Rd | 2 nanonext-1.1.0/nanonext/man/unresolved.Rd | 11 nanonext-1.1.0/nanonext/man/zzz.Rd | 10 nanonext-1.1.0/nanonext/src/Makevars.win | 6 nanonext-1.1.0/nanonext/src/aio.c | 484 ++++++++++++-------- nanonext-1.1.0/nanonext/src/core.c | 14 nanonext-1.1.0/nanonext/src/init.c | 44 + nanonext-1.1.0/nanonext/src/nanonext.h | 25 - nanonext-1.1.0/nanonext/src/nng-8420a9d.tar.xz |only nanonext-1.1.0/nanonext/src/protocol.c | 2 nanonext-1.1.0/nanonext/src/thread.c | 150 +++--- nanonext-1.1.0/nanonext/src/utils.c | 7 nanonext-1.1.0/nanonext/tests/tests.R | 82 ++- nanonext-1.1.0/nanonext/vignettes/nanonext.Rmd | 99 ++-- nanonext-1.1.0/nanonext/vignettes/nanonext.Rmd.orig | 13 45 files changed, 940 insertions(+), 721 deletions(-)
Title: Multivariate Cauchy Distribution
Description: The Cauchy distribution is a special case of the t distribution when the degrees of freedom are equal to 1. The functions are related to the multivariate Cauchy distribution and include simulation, computation of the density, maximum likelihood estimation, contour plot of the bivariate Cauchy distribution, and discriminant analysis. References include: Nadarajah S. and Kotz S. (2008). "Estimation methods for the multivariate t distribution". Acta Applicandae Mathematicae, 102(1): 99--118. <doi:10.1007/s10440-008-9212-8>, and Kanti V. Mardia, John T. Kent and John M. Bibby (1979). "Multivariate analysis", ISBN:978-0124712522. Academic Press, London.
Author: Michail Tsagris [aut, cre],
Christos Adam [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Diff between mvcauchy versions 1.0 dated 2024-02-06 and 1.1 dated 2024-06-04
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- R/cauchy.nb.R | 1 + man/cauchy.nb.Rd | 3 ++- man/cauchynb.pred.Rd | 6 +++--- man/mvcauchy-package.Rd | 4 ++-- 6 files changed, 17 insertions(+), 15 deletions(-)
Title: Label Data Frames, Variables, and Values
Description: Create and use data frame labels for data frame objects (frame labels), their columns (name labels), and individual values of a column (value labels). Value labels include one-to-one and many-to-one labels for nominal and ordinal variables, as well as numerical range-based value labels for continuous variables. Convert value-labeled variables so each value is replaced by its corresponding value label. Add values-converted-to-labels columns to a value-labeled data frame while preserving parent columns. Filter and subset a value-labeled data frame using labels, while returning results in terms of values. Overlay labels in place of values in common R commands to increase interpretability. Generate tables of value frequencies, with categories expressed as raw values or as labels. Access data frames that show value-to-label mappings for easy reference.
Author: Robert Hartman [aut, cre],
The MITRE Corporation [cph]
Maintainer: Robert Hartman <rohartman@gmail.com>
Diff between labelr versions 0.1.5 dated 2024-05-02 and 0.1.6 dated 2024-06-04
DESCRIPTION | 6 MD5 | 42 ++-- NAMESPACE | 6 NEWS.md | 13 + R/as_base_data_frame.R | 28 ++- R/as_base_data_frame2.R |only R/fact2char.R |only R/irregular2.R |only R/irregular2v.R | 2 R/ssort.R | 320 ++---------------------------------- R/transfer_labs.R | 18 -- README.md | 2 inst/doc/labelr-introduction.R | 4 inst/doc/labelr-introduction.Rmd | 7 inst/doc/labelr-introduction.html | 38 +++- inst/doc/labelr-special-topics.R | 6 inst/doc/labelr-special-topics.Rmd | 8 inst/doc/labelr-special-topics.html | 10 - man/as_base_data_frame.Rd | 14 + man/as_base_data_frame2.Rd |only man/fact2char.Rd |only man/irregular2.Rd |only man/irregular2v.Rd | 2 vignettes/labelr-introduction.Rmd | 7 vignettes/labelr-special-topics.Rmd | 8 25 files changed, 163 insertions(+), 378 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 <d.luedecke@uke.de>
Diff between insight versions 0.19.11 dated 2024-05-12 and 0.20.0 dated 2024-06-04
DESCRIPTION | 6 MD5 | 78 +-- NAMESPACE | 1 NEWS.md | 21 R/export_table.R | 18 R/format_ci.R | 6 R/get_datagrid.R | 386 +++++++-------- R/get_predicted.R | 98 +-- R/get_predicted_args.R | 12 R/get_predicted_bayesian.R | 24 R/get_predicted_fixedeffects.R | 22 R/get_predicted_gam.R | 14 R/get_predicted_methods.R | 8 R/get_predicted_mixed.R | 64 +- R/get_predicted_ordinal.R | 20 R/get_predicted_zeroinfl.R | 24 R/get_response.R | 5 R/print_parameters.R | 45 + R/utils_compact.R | 9 inst/doc/display.html | 260 +++++----- inst/doc/export.html | 660 +++++++++++++------------- inst/doc/insight.R | 6 inst/doc/insight.Rmd | 6 inst/doc/insight.html | 250 ++++----- man/export_table.Rd | 9 man/get_datagrid.Rd | 80 +-- man/print_parameters.Rd | 24 tests/testthat/_snaps/format_table.md | 32 - tests/testthat/_snaps/windows/format_table.md | 28 - tests/testthat/test-compact-list.R | 30 - tests/testthat/test-fixest.R | 3 tests/testthat/test-format_table_ci.R | 12 tests/testthat/test-gam.R | 2 tests/testthat/test-get_datagrid.R | 58 +- tests/testthat/test-get_modelmatrix.R | 22 tests/testthat/test-get_predicted.R | 2 tests/testthat/test-lmer.R | 98 +-- tests/testthat/test-marginaleffects.R | 10 tests/testthat/test-polr.R | 36 - vignettes/insight.Rmd | 6 40 files changed, 1290 insertions(+), 1205 deletions(-)
Title: Generating Triangular and Trapezoidal Fuzzy Random Numbers via
Uniform Distribution
Description: Triangular and trapezoidal fuzzy numbers are used to study fuzzy logic,
fuzzy reasoning and approximating, fuzzy regression models, etc.
This package builds the generating function for triangular and trapezoidal fuzzy numbers based on Souliotis et al. (2022)<doi:10.3390/math10183350>.
They proposed a method for the construction of fuzzy numbers via a cumulative distribution function based on the possibility theory.
Author: Atchanut Rattanalertnusorn [aut, cre]
Maintainer: Atchanut Rattanalertnusorn <atchanut_r@rmutt.ac.th>
Diff between genfrn versions 0.1.3 dated 2024-05-27 and 0.1.4 dated 2024-06-04
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NAMESPACE | 4 +++- R/rtfn.R | 4 +++- R/rtrfn.R | 4 +++- 5 files changed, 16 insertions(+), 10 deletions(-)
More information about CohortSymmetry at CRAN
Permanent link
Title: Use of Interval Algebra to Create New Cohort(s) from Existing
Cohorts
Description: This software tool is designed to generate new cohorts utilizing data from
previously instantiated cohorts. It employs interval algebra operators such as UNION,
INTERSECT, and MINUS to manipulate the data within the instantiated cohorts and
create new cohorts.
Author: Gowtham Rao [aut, cre],
Observational Health Data Science and Informatics [cph]
Maintainer: Gowtham Rao <rao@ohdsi.org>
Diff between CohortAlgebra versions 0.2.1 dated 2024-06-02 and 0.3.0 dated 2024-06-04
DESCRIPTION | 8 +- MD5 | 8 +- NEWS.md | 5 + inst/doc/HowToUseCohortAlgebraRPackage.html | 4 - inst/sql/sql_server/EraFyCohorts.sql | 98 +++++++++------------------- 5 files changed, 47 insertions(+), 76 deletions(-)
More information about CohortCharacteristics at CRAN
Permanent link
Title: Carbon-Related Assessment of Silvicultural Concepts
Description: A simulation model and accompanying functions that support
assessing silvicultural concepts on the forest estate level with a focus on
the CO2 uptake by wood growth and CO2 emissions by forest operations. For
achieving this, a virtual forest estate area is split into the areas covered
by typical phases of the silvicultural concept of interest. Given initial
area shares of these phases, the dynamics of these areas is simulated. The
typical carbon stocks and flows which are known for all phases are
attributed post-hoc to the areas and upscaled to the estate level. CO2
emissions by forest operations are estimated based on the amounts and
dimensions of the harvested timber. Probabilities of damage events are taken
into account.
Author: Peter Biber [aut, cre, cph] ,
Stefano Grigolato [ctb] ,
Julia Schmucker [ctb] ,
Enno Uhl [ctb] ,
Hans Pretzsch [ctb]
Maintainer: Peter Biber <p.biber@tum.de>
Diff between care4cmodel versions 1.0.1 dated 2024-02-28 and 1.0.2 dated 2024-06-04
DESCRIPTION | 8 MD5 | 18 NEWS.md | 7 README.md | 7 build/partial.rdb |binary build/vignette.rds |binary inst/doc/getting-started-with-care4cmodel.Rmd | 5 inst/doc/getting-started-with-care4cmodel.html | 500 ++++++++++++------------- vignettes/getting-started-with-care4cmodel.Rmd | 5 vignettes/refs_vignette.bib | 17 10 files changed, 304 insertions(+), 263 deletions(-)
Title: Linters for 'box' Modules
Description: Static code analysis of 'box' modules.
The package enhances code quality by providing linters that check for common issues,
enforce best practices, and ensure consistent coding standards.
Author: Ricardo Rodrigo Basa [aut, cre],
Jakub Nowicki [aut],
Appsilon Sp. z o.o. [cph]
Maintainer: Ricardo Rodrigo Basa <opensource+rodrigo@appsilon.com>
Diff between box.linters versions 0.9.0 dated 2024-05-25 and 0.9.1 dated 2024-06-04
DESCRIPTION | 18 - MD5 | 49 ++-- NEWS.md | 11 R/box_module_usage_helper_functions.R | 6 R/box_trailing_commas_linter.R | 7 R/box_unused_attached_mod_linter.R | 11 R/box_unused_attached_mod_obj_linter.R | 3 R/box_unused_attached_pkg_fun_linter.R | 13 - R/box_unused_attached_pkg_linter.R | 7 R/box_usage_helper_functions.R | 3 R/get_objects_in_strings.R |only R/unused_declared_object_linter.R | 3 R/zzz.R | 2 inst/WORDLIST | 4 man/box_default_linters.Rd | 2 man/get_objects_in_strings.Rd |only man/rhino_default_linters.Rd | 2 tests/testthat/mod/path/to/module_d.R |only tests/testthat/test-box_module_usage_halper_functions.R | 100 ++++++++ tests/testthat/test-box_trailing_commas_linter.R | 34 ++ tests/testthat/test-box_unused_attached_mod_linter.R | 183 +++++++++++++++ tests/testthat/test-box_unused_attached_mod_obj_linter.R | 95 +++++++ tests/testthat/test-box_unused_attached_pkg_fun_linter.R | 72 +++++ tests/testthat/test-box_unused_attached_pkg_linter.R | 99 ++++++++ tests/testthat/test-box_usage_helper_functions.R | 29 ++ tests/testthat/test-e2e_testthat.R |only tests/testthat/test-get_objects_in_strings.R |only tests/testthat/test-unused_declared_object_linter.R | 62 +++++ 28 files changed, 768 insertions(+), 47 deletions(-)
Title: Tools for Choice Model Estimation and Application
Description: Choice models are a widely used technique across numerous scientific disciplines. The Apollo package is a very flexible tool for the estimation and application
of choice models in R. Users are able to write their own
model functions or use a mix of already available ones. Random heterogeneity,
both continuous and discrete and at the level of individuals and
choices, can be incorporated for all models. There is support for both standalone
models and hybrid model structures. Both classical
and Bayesian estimation is available, and multiple discrete
continuous models are covered in addition to discrete choice.
Multi-threading processing is supported for estimation and a large
number of pre and post-estimation routines, including for computing posterior
(individual-level) distributions are available.
For examples, a manual, and a support forum, visit
<http://www.ApolloChoiceModelling.com>. For more information on choice
models see Train, K. (2009) <isbn:978-0-521-74738-7> and [...truncated...]
Author: Stephane Hess [aut, cre],
David Palma [aut],
Thomas Hancock [ctb]
Maintainer: Stephane Hess <S.Hess@leeds.ac.uk>
Diff between apollo versions 0.3.2 dated 2024-04-15 and 0.3.3 dated 2024-06-04
apollo-0.3.2/apollo/R/apollo_dVdB2.R |only apollo-0.3.2/apollo/man/apollo_dVdB2.Rd |only apollo-0.3.3/apollo/DESCRIPTION | 6 apollo-0.3.3/apollo/MD5 | 110 +- apollo-0.3.3/apollo/NAMESPACE | 4 apollo-0.3.3/apollo/R/apollo_avgInterDraws.R | 17 apollo-0.3.3/apollo/R/apollo_basTest.R | 2 apollo-0.3.3/apollo/R/apollo_bootstrap.R | 4 apollo-0.3.3/apollo/R/apollo_classAlloc.R | 2 apollo-0.3.3/apollo/R/apollo_combineModels.R | 44 apollo-0.3.3/apollo/R/apollo_compareInputs.R | 2 apollo-0.3.3/apollo/R/apollo_dVdB.R | 156 +-- apollo-0.3.3/apollo/R/apollo_dVdBOld.R |only apollo-0.3.3/apollo/R/apollo_deltaMethod.R | 2 apollo-0.3.3/apollo/R/apollo_el.R | 2 apollo-0.3.3/apollo/R/apollo_emdc.R | 106 +- apollo-0.3.3/apollo/R/apollo_estimate.R | 45 apollo-0.3.3/apollo/R/apollo_estimateHB.R | 8 apollo-0.3.3/apollo/R/apollo_firstRow.R | 14 apollo-0.3.3/apollo/R/apollo_fmnl.R | 40 apollo-0.3.3/apollo/R/apollo_fnl.R |only apollo-0.3.3/apollo/R/apollo_initialise.R | 4 apollo-0.3.3/apollo/R/apollo_insertComponentName.R | 2 apollo-0.3.3/apollo/R/apollo_lc.R | 18 apollo-0.3.3/apollo/R/apollo_lcConditionals.R | 11 apollo-0.3.3/apollo/R/apollo_lcEM.R | 11 apollo-0.3.3/apollo/R/apollo_lrTest.R | 2 apollo-0.3.3/apollo/R/apollo_makeDraws.R | 8 apollo-0.3.3/apollo/R/apollo_makeGrad.R | 426 ++++---- apollo-0.3.3/apollo/R/apollo_makeHessian.R |only apollo-0.3.3/apollo/R/apollo_mdcev.R | 2 apollo-0.3.3/apollo/R/apollo_mdcev2.R | 2 apollo-0.3.3/apollo/R/apollo_mdcnev.R | 4 apollo-0.3.3/apollo/R/apollo_mixConditionals.R | 4 apollo-0.3.3/apollo/R/apollo_mixEM.R | 6 apollo-0.3.3/apollo/R/apollo_mixUnconditionals.R | 4 apollo-0.3.3/apollo/R/apollo_mnl.R | 128 ++ apollo-0.3.3/apollo/R/apollo_modifyUserDefFunc.R | 24 apollo-0.3.3/apollo/R/apollo_nl.R | 2 apollo-0.3.3/apollo/R/apollo_normalDensity.R | 8 apollo-0.3.3/apollo/R/apollo_ol.R | 142 ++ apollo-0.3.3/apollo/R/apollo_op.R | 6 apollo-0.3.3/apollo/R/apollo_ownModel.R | 2 apollo-0.3.3/apollo/R/apollo_panelProd.R | 331 +++--- apollo-0.3.3/apollo/R/apollo_prepareProb.R | 19 apollo-0.3.3/apollo/R/apollo_preprocess.R | 23 apollo-0.3.3/apollo/R/apollo_rrm.R | 2 apollo-0.3.3/apollo/R/apollo_sharesTest.R | 2 apollo-0.3.3/apollo/R/apollo_validateControl.R | 12 apollo-0.3.3/apollo/R/apollo_varcov.R | 26 apollo-0.3.3/apollo/R/apollo_weighting.R | 1 apollo-0.3.3/apollo/build/vignette.rds |binary apollo-0.3.3/apollo/inst/doc/apollofirstexample.html | 929 +++++++++---------- apollo-0.3.3/apollo/man/apollo_dVdB.Rd | 2 apollo-0.3.3/apollo/man/apollo_dVdBOld.Rd |only apollo-0.3.3/apollo/man/apollo_estimate.Rd | 2 apollo-0.3.3/apollo/man/apollo_fmnl.Rd | 2 apollo-0.3.3/apollo/man/apollo_fnl.Rd |only apollo-0.3.3/apollo/man/apollo_makeHessian.Rd |only apollo-0.3.3/apollo/man/apollo_varcov.Rd | 1 60 files changed, 1589 insertions(+), 1143 deletions(-)
Title: Functions and Data for the Book "Applied Nonparametric
Statistical Methods", 5th Edition
Description: Functions and data to accompany the 5th edition of the book "Applied Nonparametric Statistical Methods" (4th edition: Sprent & Smeeton, 2024, ISBN:158488701X), the revisions from the 4th edition including a move from describing the output from a miscellany of statistical software packages to using R. While the output from many of the functions can also be obtained using a range of other R functions, this package provides functions in a unified setting and give output using both p-values and confidence intervals, exemplifying the book's approach of treating p-values as a guide to statistical importance and not an end product in their own right.
Author: Neil Spencer [aut, cre, cph]
Maintainer: Neil Spencer <neilhspencer@gmail.com>
Diff between ANSM5 versions 1.0.0 dated 2024-05-28 and 1.0.1 dated 2024-06-04
DESCRIPTION | 6 MD5 | 10 NEWS.md | 2 R/pearson.R | 410 ++++++++++++++++++------------------- tests/testthat/test-pearson.R | 4 tests/testthat/test-pearson.beta.R | 2 6 files changed, 219 insertions(+), 215 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-11-16 0.1.0