Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-09-13 1.1.0
2024-02-07 1.0.1
2022-10-05 0.3.1
2022-05-24 0.3.0
2022-03-10 0.2.0
2021-10-19 0.1.1
2021-10-08 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-03-11 1.0.4
2022-07-19 1.0.3
2021-12-03 1.0.2
2020-12-17 1.0.1
2020-12-09 1.0.0
Title: A Toolkit for Behavioral Scientists
Description: A collection of functions for analyzing data typically collected
or used by behavioral scientists. Examples of the functions include
a function that compares groups in a factorial experimental design,
a function that conducts two-way analysis of variance (ANOVA),
and a function that cleans a data set generated by Qualtrics surveys.
Some of the functions will require installing additional package(s).
Such packages and other references are cited within the section
describing the relevant functions. Many functions in this package
rely heavily on these two popular R packages:
Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>.
Wickham et al. (2021) <https://CRAN.R-project.org/package=ggplot2>.
Author: Jin Kim [aut, cre]
Maintainer: Jin Kim <jin.kim1@northeastern.edu>
Diff between kim versions 0.5.422 dated 2024-02-26 and 0.5.431 dated 2024-10-01
DESCRIPTION | 6 - MD5 | 68 ++++++++++++--------- NAMESPACE | 5 + NEWS.md | 15 ++++ R/chi_squared_test.R | 43 +++++++++---- R/ci_of_mean.R |only R/compare_groups.R | 10 +-- R/correlation_matrix.R | 52 +++++++++++++--- R/factorial_anova_2_way.R |only R/floodlight_2_by_continuous.R | 7 +- R/floodlight_2_by_continuous_for_logistic.R | 29 +++++---- R/install_all_dependencies.R | 2 R/mixed_anova_2_way.R |only R/multiple_regression.R | 87 +++++++++++++++++++++++----- R/pretty_round_p_value.R | 26 ++++++-- R/scatterplot.R | 7 +- R/se_of_mean.R | 3 R/simple_effects_analysis.R | 2 R/simple_slopes_analysis.R |only R/simple_slopes_analysis_logistic.R |only R/t_test_pairwise.R | 17 +++-- R/theme_kim.R | 3 R/two_way_anova.R | 13 +++- README.md | 2 inst/CITATION | 5 - man/chi_squared_test.Rd | 7 +- man/ci_of_mean.Rd |only man/compare_groups.Rd | 10 +-- man/correlation_matrix.Rd | 14 +++- man/factorial_anova_2_way.Rd |only man/floodlight_2_by_continuous_logistic.Rd | 4 + man/mixed_anova_2_way.Rd |only man/multiple_regression.Rd | 34 ++++++++++ man/pretty_round_p_value.Rd | 6 + man/se_of_mean.Rd | 3 man/simple_effects_analysis.Rd | 2 man/simple_slopes_analysis.Rd |only man/simple_slopes_analysis_logistic.Rd |only man/theme_kim.Rd | 3 man/two_way_anova.Rd | 9 +- 40 files changed, 370 insertions(+), 124 deletions(-)
Title: R Codes and Datasets for Generalized Linear Mixed Models: Modern
Concepts, Methods and Applications by Walter W. Stroup
Description: R Codes and Datasets for Stroup, W. W. (2012). Generalized Linear Mixed Models Modern Concepts, Methods and Applications, CRC Press.
Author: Muhammad Yaseen [aut, cre, cph]
,
Adeela Munawar [aut, ctb],
Walter W. Stroup [aut, ctb],
Kent M. Eskridge [aut, ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Diff between StroupGLMM versions 0.2.0 dated 2024-09-25 and 0.3.0 dated 2024-10-01
DESCRIPTION | 16 ++++++++-------- MD5 | 45 +++++++++++++++++++++++++++++++++++++++++---- NAMESPACE | 3 +++ NEWS.md | 5 +++++ R/DataSet8.1.R |only R/DataSet8.2.R |only R/DataSet8.3.R |only R/DataSet8.4.R |only R/DataSet9.1.R |only R/DataSet9.2.R |only R/DataSet9.4.R |only R/Exam7.7.R |only R/Exam8.1.R |only R/Exam8.2.R |only R/Exam8.3.R |only R/Exam8.4.R |only R/Exam9.1.R |only R/Exam9.2.R |only R/Exam9.4.R |only README.md | 21 ++++++++++----------- data/DataSet8.1.RData |only data/DataSet8.2.RData |only data/DataSet8.3.RData |only data/DataSet8.4.RData |only data/DataSet9.1.RData |only data/DataSet9.2.RData |only data/DataSet9.4.RData |only man/DataSet8.1.Rd |only man/DataSet8.2.Rd |only man/DataSet8.3.Rd |only man/DataSet8.4.Rd |only man/DataSet9.1.Rd |only man/DataSet9.2.Rd |only man/DataSet9.4.Rd |only man/Exam7.7.Rd |only man/Exam8.1.Rd |only man/Exam8.2.Rd |only man/Exam8.3.Rd |only man/Exam8.4.Rd |only man/Exam9.1.Rd |only man/Exam9.2.Rd |only man/Exam9.4.Rd |only 42 files changed, 67 insertions(+), 23 deletions(-)
Title: Quick Serialization of R Objects
Description: Provides functions for quickly writing and reading any R object to and from disk.
Author: Travers Ching [aut, cre, cph],
Yann Collet [ctb, cph] ,
Facebook, Inc. [cph] ,
Reichardt Tino [ctb, cph] ,
Skibinski Przemyslaw [ctb, cph] ,
Mori Yuta [ctb, cph] ,
Romain Francois [ctb, cph] ,
Francesc Alted [ctb, cph] ,
Bryce Chamberlain [ctb] ,
Sal [...truncated...]
Maintainer: Travers Ching <traversc@gmail.com>
Diff between qs versions 0.26.3 dated 2024-05-16 and 0.27.2 dated 2024-10-01
ChangeLog | 63 ++++++----- DESCRIPTION | 22 +-- MD5 | 61 +++++----- NAMESPACE | 1 R/RcppExports.R | 4 R/zz_help_files.R | 19 +++ R/zzz.R | 2 README.md | 4 build/vignette.rds |binary data/starnames.rda |binary inst/doc/vignette.R | 4 inst/doc/vignette.html | 136 ++++++++++++++---------- inst/doc/vignette.rmd | 4 inst/extra_tests/correctness_testing_extended.R | 22 +-- inst/include/qs_RcppExports.h | 20 +++ man/qs-package.Rd | 6 - man/set_trust_promises.Rd |only src/BLOSC/shuffle_routines.h | 2 src/RcppExports.cpp | 36 ++++++ src/extra_functions.h | 2 src/qs_common.h | 4 src/qs_deserialization.h | 2 src/qs_deserialization_stream.h | 2 src/qs_deserialize_common.h | 8 - src/qs_functions.cpp | 9 + src/qs_mt_deserialization.h | 2 src/qs_mt_serialization.h | 2 src/qs_serialization.h | 2 src/qs_serialization_stream.h | 2 src/qs_serialize_common.h | 30 +++-- tests/correctness_testing.R | 2 vignettes/vignette.rmd | 4 32 files changed, 304 insertions(+), 173 deletions(-)
Title: Classification of Algorithms
Description: Implements the Bi-objective Lexicographical Classification method and Performance Assessment Ratio at 10% metric for algorithm classification. Constructs matrices representing algorithm performance under multiple criteria, facilitating decision-making in algorithm selection and evaluation. Analyzes and compares algorithm performance based on various metrics to identify the most suitable algorithms for specific tasks. This package includes methods for algorithm classification and evaluation, with examples provided in the documentation. Carvalho (2019) presents a statistical evaluation of algorithmic computational experimentation with infeasible solutions <doi:10.48550/arXiv.1902.00101>. Moreira and Carvalho (2023) analyze power in preprocessing methodologies for datasets with missing values <doi:10.1080/03610918.2023.2234683>.
Author: Tiago Costa Soares [aut],
Iago Augusto de Carvalho [aut, cre]
Maintainer: Iago Augusto de Carvalho <iago.carvalho@unifal-mg.edu.br>
Diff between ppRank versions 0.1.0 dated 2024-07-02 and 0.1.1 dated 2024-10-01
DESCRIPTION | 16 ++++++++-------- MD5 | 2 +- 2 files changed, 9 insertions(+), 9 deletions(-)
Title: Unifying Estimation Results with Binary Dependent Variables
Description: Calculate unified measures
that quantify the effect of a covariate on a binary dependent variable
(e.g., for meta-analyses).
This can be particularly important
if the estimation results are obtained
with different models/estimators
(e.g., linear probability model, logit, probit, ...)
and/or with different transformations of the explanatory variable of interest
(e.g., linear, quadratic, interval-coded, ...).
The calculated unified measures are:
(a) semi-elasticities of linear, quadratic, or interval-coded covariates and
(b) effects of linear, quadratic, interval-coded, or categorical covariates
when a linear or quadratic covariate changes between distinct intervals,
the reference category of a categorical variable
or the reference interval of an interval-coded variable needs to be changed,
or some categories of a categorical covariate
or some intervals of an interval-coded covariate need to be grouped together.
Approximate standard errors of the unified measures are also calculated.
All [...truncated...]
Author: Arne Henningsen [aut, cre] ,
Geraldine Henningsen [aut]
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>
Diff between urbin versions 0.1-12 dated 2021-01-29 and 0.1-14 dated 2024-10-01
DESCRIPTION | 23 ++++++++++++++++------- MD5 | 18 +++++++++--------- NEWS | 7 +++++++ build/vignette.rds |binary inst/doc/ExtendedAppendix.pdf |binary inst/doc/Manuscript.pdf |binary tests/logit.Rout.save | 20 ++++---------------- tests/mlogit.R | 6 ++++++ tests/mlogit.Rout.save | 29 +++++++++++++---------------- tests/probit.Rout.save | 20 ++++---------------- 10 files changed, 59 insertions(+), 64 deletions(-)
Title: Automated Boosted Regression Tree Modelling and Mapping Suite
Description: Automates delta log-normal boosted regression tree abundance
prediction. Loops through parameters provided (LR (learning rate), TC
(tree complexity), BF (bag fraction)), chooses best, simplifies, &
generates line, dot & bar plots, & outputs these & predictions & a
report, makes predicted abundance maps, and Unrepresentativeness
surfaces. Package core built around 'gbm' (gradient boosting machine)
functions in 'dismo' (Hijmans, Phillips, Leathwick & Jane Elith, 2020
& ongoing), itself built around 'gbm' (Greenwell, Boehmke, Cunningham
& Metcalfe, 2020 & ongoing, originally by Ridgeway). Indebted to
Elith/Leathwick/Hastie 2008 'Working Guide'
<doi:10.1111/j.1365-2656.2008.01390.x>; workflow follows Appendix S3.
See <https://www.simondedman.com/> for published guides and papers
using this package.
Author: Simon Dedman [aut, cre]
Maintainer: Simon Dedman <simondedman@gmail.com>
Diff between gbm.auto versions 2023.08.31 dated 2023-09-01 and 2024.10.01 dated 2024-10-01
DESCRIPTION | 10 LICENSE | 4 MD5 | 40 NEWS.md | 129 - R/gbm.auto.R | 4796 ++++++++++++++++++++++++------------------------ R/gbm.basemap.R | 326 +-- R/gbm.lmplots.R | 15 R/gbm.loop.R | 4 R/gbm.map.R | 2 R/gbm.mapsf.R | 4 R/gbm.step.sd.R | 6 R/gbm.valuemap.R | 39 README.md | 448 ++-- build/partial.rdb |binary man/gbm.auto-package.Rd | 3 man/gbm.auto.Rd | 16 man/gbm.basemap.Rd | 11 man/gbm.loop.Rd | 3 man/gbm.map.Rd | 2 man/gbm.step.sd.Rd | 4 man/gbm.valuemap.Rd | 23 21 files changed, 2961 insertions(+), 2924 deletions(-)
Title: Compare MCMC Efficiency from 'nimble' and/or Other MCMC Engines
Description: Manages comparison of MCMC performance metrics from multiple MCMC algorithms. These may come from different MCMC configurations using the 'nimble' package or from other packages. Plug-ins for JAGS via 'rjags' and Stan via 'rstan' are provided. It is possible to write plug-ins for other packages. Performance metrics are held in an MCMCresult class along with samples and timing data. It is easy to apply new performance metrics. Reports are generated as html pages with figures comparing sets of runs. It is possible to configure the html pages, including providing new figure components.
Author: Perry de Valpine [aut, cre],
Sally Paganin [aut],
Daniel Turek [aut],
Christopher Paciorek [aut]
Maintainer: Perry de Valpine <pdevalpine@berkeley.edu>
Diff between compareMCMCs versions 0.5.0 dated 2022-09-20 and 0.6.0 dated 2024-10-01
compareMCMCs-0.5.0/compareMCMCs/.Rinstignore |only compareMCMCs-0.5.0/compareMCMCs/inst/doc/compareMCMCs.R |only compareMCMCs-0.5.0/compareMCMCs/inst/doc/example1.html |only compareMCMCs-0.5.0/compareMCMCs/inst/doc/example2.html |only compareMCMCs-0.5.0/compareMCMCs/inst/vignette_source |only compareMCMCs-0.6.0/compareMCMCs/DESCRIPTION | 11 compareMCMCs-0.6.0/compareMCMCs/MD5 | 87 compareMCMCs-0.6.0/compareMCMCs/NAMESPACE | 3 compareMCMCs-0.6.0/compareMCMCs/R/MCMCdef_dummy.R | 4 compareMCMCs-0.6.0/compareMCMCs/R/MCMCresult.R | 18 compareMCMCs-0.6.0/compareMCMCs/R/compareMCMCs.R | 363 +- compareMCMCs-0.6.0/compareMCMCs/R/make_MCMC_comparison_pages.R | 137 compareMCMCs-0.6.0/compareMCMCs/R/metrics-addMetrics.R | 65 compareMCMCs-0.6.0/compareMCMCs/R/runNIMBLE.R | 88 compareMCMCs-0.6.0/compareMCMCs/build |only compareMCMCs-0.6.0/compareMCMCs/inst/doc/compareMCMCs.Rmd | 457 ++ compareMCMCs-0.6.0/compareMCMCs/inst/doc/compareMCMCs.html | 1758 +++++++--- compareMCMCs-0.6.0/compareMCMCs/inst/doc/example1 |only compareMCMCs-0.6.0/compareMCMCs/inst/doc/example2 |only compareMCMCs-0.6.0/compareMCMCs/man/combineMetrics.Rd | 36 compareMCMCs-0.6.0/compareMCMCs/man/compareMCMCs.Rd | 76 compareMCMCs-0.6.0/compareMCMCs/man/make_MCMC_comparison_pages.Rd | 33 compareMCMCs-0.6.0/compareMCMCs/tests/testthat/test-compareMCMCs.R | 24 compareMCMCs-0.6.0/compareMCMCs/tests/testthat/test-conversions.R | 4 compareMCMCs-0.6.0/compareMCMCs/tests/testthat/test-dummy.R | 8 compareMCMCs-0.6.0/compareMCMCs/tests/testthat/test-metrics.R | 91 compareMCMCs-0.6.0/compareMCMCs/vignettes |only 27 files changed, 2462 insertions(+), 801 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 0.3.3 dated 2024-06-04 and 0.3.4 dated 2024-10-01
DESCRIPTION | 6 MD5 | 72 +- NAMESPACE | 1 R/apollo_checkArguments.R | 2 R/apollo_classAlloc.R | 212 +++++++- R/apollo_deltaMethod.R | 18 R/apollo_estimate.R | 14 R/apollo_firstRow.R | 71 +- R/apollo_initialise.R | 2 R/apollo_insertFunc.R | 2 R/apollo_insertRows.R | 4 R/apollo_lc.R | 305 +++++++----- R/apollo_lcEM.R | 8 R/apollo_longToWide.R | 19 R/apollo_makeGrad.R | 152 +++++- R/apollo_makeHessian.R | 142 +++++ R/apollo_mdcev.R | 6 R/apollo_mixEM.R | 2 R/apollo_mnl.R | 17 R/apollo_modelOutput.R | 2 R/apollo_nl.R | 261 +++++++--- R/apollo_normalDensity.R | 128 ++++- R/apollo_outOfSample.R | 968 +++++++++++++++++++-------------------- R/apollo_preprocess.R | 27 + R/apollo_tobit.R |only R/apollo_validate.R | 627 ++++++++++++------------- R/apollo_validateControl.R | 12 R/apollo_validateData.R | 4 R/apollo_validateInputs.R | 4 R/apollo_weighting.R | 2 inst/doc/apollofirstexample.html | 118 ++-- man/apollo_estimate.Rd | 2 man/apollo_insertRows.Rd | 4 man/apollo_mdcev.Rd | 2 man/apollo_nl.Rd | 2 man/apollo_normalDensity.Rd | 6 man/apollo_tobit.Rd |only man/apollo_validateControl.Rd | 1 38 files changed, 1976 insertions(+), 1249 deletions(-)
Title: Prior Diagnostics and Sensitivity Analysis
Description: Provides functions for prior and likelihood sensitivity analysis in Bayesian models. Currently it implements methods to determine the sensitivity of the posterior to power-scaling perturbations of the prior and likelihood.
Author: Noa Kallioinen [aut, cre, cph],
Topi Paananen [aut],
Paul-Christian Buerkner [aut],
Aki Vehtari [aut],
Frank Weber [ctb]
Maintainer: Noa Kallioinen <noa.kallioinen@aalto.fi>
Diff between priorsense versions 1.0.2 dated 2024-07-16 and 1.0.3 dated 2024-10-01
priorsense-1.0.2/priorsense/man/figures/logo_large.png |only priorsense-1.0.3/priorsense/DESCRIPTION | 8 +- priorsense-1.0.3/priorsense/MD5 | 19 ++-- priorsense-1.0.3/priorsense/NEWS.md | 4 + priorsense-1.0.3/priorsense/R/brms-functions.R | 4 - priorsense-1.0.3/priorsense/R/plots.R | 62 ++++++++-------- priorsense-1.0.3/priorsense/R/summarise_draws.R | 6 - priorsense-1.0.3/priorsense/README.md | 8 +- priorsense-1.0.3/priorsense/inst/doc/powerscaling.html | 2 priorsense-1.0.3/priorsense/man/predictions_as_draws.Rd | 2 priorsense-1.0.3/priorsense/tests/testthat/test_plots.R | 2 11 files changed, 62 insertions(+), 55 deletions(-)
Title: OMOP CDM DDL and Documentation Generator
Description: Generates the scripts required to create an Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) database and associated documentation for supported database platforms. Leverages the 'SqlRender' package to convert the Data Definition Language (DDL) script written in parameterized Structured Query Language (SQL) to the other supported dialects.
Author: Clair Blacketer [aut, cre]
Maintainer: Clair Blacketer <mblacke@its.jnj.com>
Diff between CommonDataModel versions 0.2.0 dated 2024-02-07 and 1.0.1 dated 2024-10-01
CommonDataModel-0.2.0/CommonDataModel/tests/testthat/test-buildRelease.R |only CommonDataModel-1.0.1/CommonDataModel/DESCRIPTION | 12 CommonDataModel-1.0.1/CommonDataModel/MD5 | 42 CommonDataModel-1.0.1/CommonDataModel/NEWS.md |only CommonDataModel-1.0.1/CommonDataModel/R/buildRelease.R | 4 CommonDataModel-1.0.1/CommonDataModel/README.md | 2 CommonDataModel-1.0.1/CommonDataModel/inst/csv/OMOP_CDM_Oncology_Ex_Field_Level.csv | 2 CommonDataModel-1.0.1/CommonDataModel/inst/csv/OMOP_CDMv5.3_Field_Level.csv | 794 +++---- CommonDataModel-1.0.1/CommonDataModel/inst/csv/OMOP_CDMv5.3_Table_Level.csv | 85 CommonDataModel-1.0.1/CommonDataModel/inst/csv/OMOP_CDMv5.4_Field_Level.csv | 1102 +++++----- CommonDataModel-1.0.1/CommonDataModel/inst/csv/OMOP_CDMv5.4_Table_Level.csv | 89 CommonDataModel-1.0.1/CommonDataModel/inst/csv/OMOP_CDMv6.0_Field_Level.csv | 868 +++---- CommonDataModel-1.0.1/CommonDataModel/inst/csv/OMOP_CDMv6.0_Table_Level.csv | 2 CommonDataModel-1.0.1/CommonDataModel/inst/ddl/5.3/bigquery/OMOPCDM_bigquery_5.3_ddl.sql | 2 CommonDataModel-1.0.1/CommonDataModel/inst/ddl/5.3/postgresql/OMOPCDM_postgresql_5.3_constraints.sql | 314 +- CommonDataModel-1.0.1/CommonDataModel/inst/ddl/5.3/postgresql/OMOPCDM_postgresql_5.3_primary_keys.sql | 52 CommonDataModel-1.0.1/CommonDataModel/inst/ddl/5.4/bigquery/OMOPCDM_bigquery_5.4_ddl.sql | 2 CommonDataModel-1.0.1/CommonDataModel/inst/ddl/5.4/postgresql/OMOPCDM_postgresql_5.4_constraints.sql | 352 +-- CommonDataModel-1.0.1/CommonDataModel/inst/ddl/5.4/postgresql/OMOPCDM_postgresql_5.4_primary_keys.sql | 56 CommonDataModel-1.0.1/CommonDataModel/inst/sql/sql_server/OMOP_CDM_indices_v5.3.sql | 2 CommonDataModel-1.0.1/CommonDataModel/inst/sql/sql_server/OMOP_CDM_indices_v5.4.sql | 2 CommonDataModel-1.0.1/CommonDataModel/inst/sql/sql_server/OMOP_CDM_indices_v6.0.sql | 2 CommonDataModel-1.0.1/CommonDataModel/man/buildRelease.Rd | 4 23 files changed, 1896 insertions(+), 1894 deletions(-)
More information about CommonDataModel at CRAN
Permanent link
Title: A Repository of Bayesian Networks from the Academic Literature
Description: A collection of Bayesian networks (discrete, Gaussian, and conditional linear Gaussian) collated from recent academic literature. The 'bnRep_summary' object provides an overview of the Bayesian networks in the repository and the package documentation includes details about the variables in each network. A Shiny app to explore the repository can be launched with 'bnRep_app()' and is available online at <https://manueleleonelli.shinyapps.io/bnRep>. Reference: 'M. Leonelli' (2024) <doi:10.48550/arXiv.2409.19158>.
Author: Manuele Leonelli [aut, cre, cph]
Maintainer: Manuele Leonelli <manuele.leonelli@ie.edu>
Diff between bnRep versions 0.0.1 dated 2024-09-20 and 0.0.2 dated 2024-10-01
DESCRIPTION | 11 ++-- MD5 | 23 +++++---- NAMESPACE | 1 R/bnRep_app.R | 1 R/crypto.R |only R/zzz.R | 2 README.md | 19 +++++-- data/crypto.rda |only inst/doc/overview.Rmd | 4 - inst/doc/overview.html | 30 ++++++------ inst/shiny/app.R | 8 ++- inst/shiny/rsconnect/shinyapps.io/manueleleonelli/bnRep.dcf | 2 man/crypto.Rd |only vignettes/overview.Rmd | 4 - 14 files changed, 62 insertions(+), 43 deletions(-)
Title: Easily Create and Style Tables for LaTeX, HTML and Other Formats
Description: Creates styled tables for data presentation. Export to HTML, LaTeX,
RTF, 'Word', 'Excel', and 'PowerPoint'. Simple, modern interface to manipulate
borders, size, position, captions, colours, text styles and number formatting.
Table cells can span multiple rows and/or columns.
Includes a 'huxreg' function for creation of regression tables, and 'quick_*'
one-liners to print data to a new document.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>
Diff between huxtable versions 5.5.6 dated 2024-02-15 and 5.5.7 dated 2024-10-01
huxtable-5.5.6/huxtable/inst/doc/design-principles.R |only huxtable-5.5.6/huxtable/inst/doc/design-principles.Rmd |only huxtable-5.5.6/huxtable/inst/doc/design-principles.html |only huxtable-5.5.6/huxtable/inst/doc/huxreg.R |only huxtable-5.5.6/huxtable/inst/doc/huxreg.Rmd |only huxtable-5.5.6/huxtable/inst/doc/huxreg.html |only huxtable-5.5.6/huxtable/inst/doc/huxtable.R |only huxtable-5.5.6/huxtable/inst/doc/huxtable.Rmd |only huxtable-5.5.6/huxtable/inst/doc/huxtable.pdf |only huxtable-5.5.6/huxtable/inst/doc/themes.R |only huxtable-5.5.6/huxtable/inst/doc/themes.Rhtml |only huxtable-5.5.6/huxtable/inst/doc/themes.html |only huxtable-5.5.6/huxtable/vignettes/design-principles.Rmd |only huxtable-5.5.6/huxtable/vignettes/huxreg.Rmd |only huxtable-5.5.6/huxtable/vignettes/huxtable.Rmd |only huxtable-5.5.6/huxtable/vignettes/placeins-header.tex |only huxtable-5.5.6/huxtable/vignettes/themes.Rhtml |only huxtable-5.5.7/huxtable/DESCRIPTION | 20 - huxtable-5.5.7/huxtable/MD5 | 82 ++--- huxtable-5.5.7/huxtable/NEWS.md | 5 huxtable-5.5.7/huxtable/R/aaa-utils.R | 27 + huxtable-5.5.7/huxtable/R/latex.R | 6 huxtable-5.5.7/huxtable/R/package-docs.R | 26 - huxtable-5.5.7/huxtable/R/subset-extract-internal.R | 4 huxtable-5.5.7/huxtable/README.md | 64 ++-- huxtable-5.5.7/huxtable/build/vignette.rds |binary huxtable-5.5.7/huxtable/inst/doc/design-principles-html.html |only huxtable-5.5.7/huxtable/inst/doc/design-principles-html.html.asis |only huxtable-5.5.7/huxtable/inst/doc/design-principles-pdf.pdf |only huxtable-5.5.7/huxtable/inst/doc/design-principles-pdf.pdf.asis |only huxtable-5.5.7/huxtable/inst/doc/huxreg-html.html |only huxtable-5.5.7/huxtable/inst/doc/huxreg-html.html.asis |only huxtable-5.5.7/huxtable/inst/doc/huxreg-pdf.pdf |only huxtable-5.5.7/huxtable/inst/doc/huxreg-pdf.pdf.asis |only huxtable-5.5.7/huxtable/inst/doc/huxtable-html.html |only huxtable-5.5.7/huxtable/inst/doc/huxtable-html.html.asis |only huxtable-5.5.7/huxtable/inst/doc/huxtable-pdf.pdf |only huxtable-5.5.7/huxtable/inst/doc/huxtable-pdf.pdf.asis |only huxtable-5.5.7/huxtable/inst/doc/themes-html.html |only huxtable-5.5.7/huxtable/inst/doc/themes-html.html.asis |only huxtable-5.5.7/huxtable/man/background_color.Rd | 2 huxtable-5.5.7/huxtable/man/bold.Rd | 2 huxtable-5.5.7/huxtable/man/caption_pos.Rd | 4 huxtable-5.5.7/huxtable/man/caption_width.Rd | 4 huxtable-5.5.7/huxtable/man/dplyr-verbs.Rd | 2 huxtable-5.5.7/huxtable/man/huxtable-FAQ.Rd | 26 + huxtable-5.5.7/huxtable/man/huxtable-news.Rd | 18 + huxtable-5.5.7/huxtable/man/huxtable-options.Rd | 12 huxtable-5.5.7/huxtable/man/huxtable-package.Rd | 12 huxtable-5.5.7/huxtable/man/na_string.Rd | 2 huxtable-5.5.7/huxtable/man/number_format.Rd | 2 huxtable-5.5.7/huxtable/man/text_color.Rd | 2 huxtable-5.5.7/huxtable/tests/testthat/quarto-test-tex-labels-out.pdf |binary huxtable-5.5.7/huxtable/tests/testthat/table-tester-2.log | 146 +++++----- huxtable-5.5.7/huxtable/vignettes/design-principles-html.html.asis |only huxtable-5.5.7/huxtable/vignettes/design-principles-pdf.pdf.asis |only huxtable-5.5.7/huxtable/vignettes/huxreg-html.html.asis |only huxtable-5.5.7/huxtable/vignettes/huxreg-pdf.pdf.asis |only huxtable-5.5.7/huxtable/vignettes/huxtable-html.html.asis |only huxtable-5.5.7/huxtable/vignettes/huxtable-pdf.pdf.asis |only huxtable-5.5.7/huxtable/vignettes/themes-html.html.asis |only 61 files changed, 269 insertions(+), 199 deletions(-)
Title: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic
Phenomena
Description: Statistical methods for the modeling and monitoring of time series
of counts, proportions and categorical data, as well as for the modeling
of continuous-time point processes of epidemic phenomena.
The monitoring methods focus on aberration detection in count data time
series from public health surveillance of communicable diseases, but
applications could just as well originate from environmetrics,
reliability engineering, econometrics, or social sciences. The package
implements many typical outbreak detection procedures such as the
(improved) Farrington algorithm, or the negative binomial GLR-CUSUM
method of Hoehle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>.
A novel CUSUM approach combining logistic and multinomial logistic
modeling is also included. The package contains several real-world data
sets, the ability to simulate outbreak data, and to visualize the
results of the monitoring in a temporal, spatial or spatio-temporal
fashion. A recent overview of the available mon [...truncated...]
Author: Michael Hoehle [aut, ths] ,
Sebastian Meyer [aut, cre] ,
Michaela Paul [aut],
Leonhard Held [ctb, ths] ,
Howard Burkom [ctb],
Thais Correa [ctb],
Mathias Hofmann [ctb],
Christian Lang [ctb],
Juliane Manitz [ctb],
Sophie Reichert [ctb],
Andrea Riebler [...truncated...]
Maintainer: Sebastian Meyer <seb.meyer@fau.de>
Diff between surveillance versions 1.23.1 dated 2024-09-02 and 1.24.0 dated 2024-10-01
surveillance-1.23.1/surveillance/R/algo_twins.R |only surveillance-1.23.1/surveillance/inst/doc/monitoringCounts-cache/fPlot.R |only surveillance-1.23.1/surveillance/inst/doc/monitoringCounts-cache/fPlot1.pdf |only surveillance-1.23.1/surveillance/inst/doc/monitoringCounts-cache/fPlot2.pdf |only surveillance-1.23.1/surveillance/man/algo.twins.Rd |only surveillance-1.23.1/surveillance/man/plot.atwins.Rd |only surveillance-1.23.1/surveillance/src/gsl_wrappers.h |only surveillance-1.23.1/surveillance/src/twins.cc |only surveillance-1.23.1/surveillance/vignettes/monitoringCounts-cache/fPlot.R |only surveillance-1.23.1/surveillance/vignettes/monitoringCounts-cache/fPlot1.pdf |only surveillance-1.23.1/surveillance/vignettes/monitoringCounts-cache/fPlot2.pdf |only surveillance-1.24.0/surveillance/DESCRIPTION | 20 - surveillance-1.24.0/surveillance/MD5 | 102 ++++------ surveillance-1.24.0/surveillance/NAMESPACE | 6 surveillance-1.24.0/surveillance/NEWS.md | 61 ++++- surveillance-1.24.0/surveillance/R/AllGeneric.R | 4 surveillance-1.24.0/surveillance/R/addSeason2formula.R | 4 surveillance-1.24.0/surveillance/R/epidataCS_methods.R | 16 - surveillance-1.24.0/surveillance/R/hhh4_methods.R | 40 ++- surveillance-1.24.0/surveillance/R/hhh4_plot.R | 2 surveillance-1.24.0/surveillance/R/hhh4_simulate.R | 1 surveillance-1.24.0/surveillance/R/sts.R | 32 ++- surveillance-1.24.0/surveillance/R/twinstim_methods.R | 8 surveillance-1.24.0/surveillance/R/twinstim_simulation.R | 1 surveillance-1.24.0/surveillance/build/partial.rdb |binary surveillance-1.24.0/surveillance/inst/doc/glrnb.pdf |binary surveillance-1.24.0/surveillance/inst/doc/hhh4.R | 6 surveillance-1.24.0/surveillance/inst/doc/hhh4.Rnw | 8 surveillance-1.24.0/surveillance/inst/doc/hhh4.pdf |binary surveillance-1.24.0/surveillance/inst/doc/hhh4_spacetime.R | 2 surveillance-1.24.0/surveillance/inst/doc/hhh4_spacetime.Rnw | 2 surveillance-1.24.0/surveillance/inst/doc/hhh4_spacetime.pdf |binary surveillance-1.24.0/surveillance/inst/doc/monitoringCounts-fPlot.R |only surveillance-1.24.0/surveillance/inst/doc/monitoringCounts.Rnw | 8 surveillance-1.24.0/surveillance/inst/doc/monitoringCounts.pdf |binary surveillance-1.24.0/surveillance/inst/doc/surveillance.pdf |binary surveillance-1.24.0/surveillance/inst/doc/twinSIR.pdf |binary surveillance-1.24.0/surveillance/inst/doc/twinstim.Rnw | 1 surveillance-1.24.0/surveillance/inst/doc/twinstim.pdf |binary surveillance-1.24.0/surveillance/man/epidataCS.Rd | 13 - surveillance-1.24.0/surveillance/man/epidataCS_aggregate.Rd | 5 surveillance-1.24.0/surveillance/man/hhh4.Rd | 8 surveillance-1.24.0/surveillance/man/hhh4_methods.Rd | 8 surveillance-1.24.0/surveillance/man/hhh4_plot.Rd | 2 surveillance-1.24.0/surveillance/man/hhh4_update.Rd | 21 +- surveillance-1.24.0/surveillance/man/layout.labels.Rd | 6 surveillance-1.24.0/surveillance/man/sts-class.Rd | 17 + surveillance-1.24.0/surveillance/man/stsXtrct.Rd | 28 +- surveillance-1.24.0/surveillance/man/sts_tidy.Rd | 2 surveillance-1.24.0/surveillance/man/surveillance-package.Rd | 3 surveillance-1.24.0/surveillance/man/twinstim_intensity.Rd | 16 - surveillance-1.24.0/surveillance/src/init.c | 7 surveillance-1.24.0/surveillance/tests/testthat/test-sts.R | 4 surveillance-1.24.0/surveillance/vignettes/hhh4.Rnw | 8 surveillance-1.24.0/surveillance/vignettes/hhh4_spacetime.Rnw | 2 surveillance-1.24.0/surveillance/vignettes/monitoringCounts-fPlot1.pdf |only surveillance-1.24.0/surveillance/vignettes/monitoringCounts-fPlot2.pdf |only surveillance-1.24.0/surveillance/vignettes/monitoringCounts.Rnw | 8 surveillance-1.24.0/surveillance/vignettes/twinstim.Rnw | 1 59 files changed, 289 insertions(+), 194 deletions(-)
Title: Fits Poisson-Sum-of-Gammas GLMs, Tweedie GLMs, and Delta
Log-Normal Models
Description: Fits models to catch and effort data. Single-species models are 1) delta log-normal, 2) Tweedie, or 3) Poisson-gamma (G)LMs.
Author: Scott D. Foster [aut, cre]
Maintainer: Scott D. Foster <scott.foster@csiro.au>
Diff between fishMod versions 0.29.1 dated 2024-09-23 and 0.29.2 dated 2024-10-01
fishMod-0.29.1/fishMod/INDEX |only fishMod-0.29.2/fishMod/DESCRIPTION | 16 ++++++++++------ fishMod-0.29.2/fishMod/MD5 | 7 +++---- fishMod-0.29.2/fishMod/R/sysdata.rda |binary fishMod-0.29.2/fishMod/src/TweedieDeriv.cc | 4 ++-- 5 files changed, 15 insertions(+), 12 deletions(-)
Title: A Point Pattern Simulator for Spatial Cellular Data
Description: Single cell resolution data has been valuable in learning about tissue microenvironments and interactions between cells or spots. This package allows for the simulation of this level of data, be it single cell or ‘spots’, in both a univariate (single metric or cell type) and bivariate (2 or more metrics or cell types) ways. As more technologies come to marker, more methods will be developed to derive spatial metrics from the data which will require a way to benchmark methods against each other. Additionally, as the field currently stands, there is not a gold standard method to be compared against. We set out to develop an R package that will allow users to simulate point patterns that can be biologically informed from different tissue domains, holes, and varying degrees of clustering/colocalization. The data can be exported as spatial files and a summary file (like 'HALO'). <https://github.com/FridleyLab/scSpatialSIM/>.
Author: Alex Soupir [aut],
Christopher Wilson [aut],
Jordan Creed [aut],
Julia Wrobel [aut],
Oscar Ospina [aut],
Brooke Fridley [aut, cph],
Fridley Lab [cre]
Maintainer: Fridley Lab <fridley.lab@moffitt.org>
Diff between scSpatialSIM versions 0.1.3.3 dated 2023-12-19 and 0.1.3.4 dated 2024-10-01
DESCRIPTION | 8 ++--- MD5 | 16 +++++----- R/creating_spatial_processes.R | 8 +---- README.md | 5 +++ build/vignette.rds |binary inst/doc/a01_Introduction.Rmd | 2 - inst/doc/a01_Introduction.html | 47 +++++++++++++++---------------- inst/doc/a02_Using_with_spatialTIME.html | 12 +++---- vignettes/a01_Introduction.Rmd | 2 - 9 files changed, 51 insertions(+), 49 deletions(-)
Title: Classification with Parallel Factor Analysis
Description: Classification using Richard A. Harshman's Parallel Factor Analysis-1 (Parafac) model or Parallel Factor Analysis-2 (Parafac2) model fit to a three-way or four-way data array. See Harshman and Lundy (1994): <doi:10.1016/0167-9473(94)90132-5>. Uses component weights from one mode of a Parafac or Parafac2 model as features to tune parameters for one or more classification methods via a k-fold cross-validation procedure. Allows for constraints on different tensor modes. Supports penalized logistic regression, support vector machine, random forest, feed-forward neural network, regularized discriminant analysis, and gradient boosting machine. Supports binary and multiclass classification. Predicts class labels or class probabilities and calculates multiple classification performance measures. Implements parallel computing via the 'parallel' and 'doParallel' packages.
Author: Matthew A. Snodgress [aut, cre]
Maintainer: Matthew A. Snodgress <snodg031@umn.edu>
Diff between cpfa versions 1.1-4 dated 2024-04-26 and 1.1-5 dated 2024-10-01
DESCRIPTION | 11 +-- MD5 | 32 ++++---- NAMESPACE | 1 R/cpfa.R | 57 +++++---------- R/cpm.R | 18 +--- R/cpm.all.R | 16 +--- R/kcv.gbm.R | 20 +---- R/kcv.nn.R | 27 ++----- R/kcv.plr.R | 26 +++---- R/kcv.rda.R | 14 +-- R/kcv.rf.R | 8 -- R/kcv.svm.R | 8 -- R/plotcpfa.R |only R/predict.tunecpfa.R | 59 ++++++---------- R/tunecpfa.R | 186 ++++++++++++++------------------------------------- inst/ChangeLog.txt | 12 +++ man/cpfa.Rd | 5 + man/plotcpfa.Rd |only 18 files changed, 176 insertions(+), 324 deletions(-)
Title: An Interface to Google's 'BigQuery Storage' API
Description: Easily talk to Google's 'BigQuery Storage' API from R
(<https://cloud.google.com/bigquery/docs/reference/storage/rpc>).
Author: Bruno Tremblay [aut, cre],
Google LLC [cph, fnd]
Maintainer: Bruno Tremblay <openr@neoxone.com>
Diff between bigrquerystorage versions 1.1.0 dated 2024-04-03 and 1.2.0 dated 2024-10-01
bigrquerystorage-1.1.0/bigrquerystorage/R/dbi.R |only bigrquerystorage-1.1.0/bigrquerystorage/man/DBI.Rd |only bigrquerystorage-1.1.0/bigrquerystorage/man/overload_bq_table_download.Rd |only bigrquerystorage-1.1.0/bigrquerystorage/tools |only bigrquerystorage-1.2.0/bigrquerystorage/DESCRIPTION | 15 bigrquerystorage-1.2.0/bigrquerystorage/MD5 | 89 - bigrquerystorage-1.2.0/bigrquerystorage/NAMESPACE | 15 bigrquerystorage-1.2.0/bigrquerystorage/NEWS.md | 10 bigrquerystorage-1.2.0/bigrquerystorage/R/bigrquerystorage.R | 1 bigrquerystorage-1.2.0/bigrquerystorage/R/bqs_download.R | 203 ++-- bigrquerystorage-1.2.0/bigrquerystorage/README.md | 22 bigrquerystorage-1.2.0/bigrquerystorage/configure | 2 bigrquerystorage-1.2.0/bigrquerystorage/configure.win |only bigrquerystorage-1.2.0/bigrquerystorage/man/bqs_auth.Rd | 2 bigrquerystorage-1.2.0/bigrquerystorage/man/bqs_table_download.Rd | 4 bigrquerystorage-1.2.0/bigrquerystorage/src/bqs.cpp | 9 bigrquerystorage-1.2.0/bigrquerystorage/src/google/api/client.pb.cc | 474 ++++++++-- bigrquerystorage-1.2.0/bigrquerystorage/src/google/api/client.pb.h | 402 ++++++++ bigrquerystorage-1.2.0/bigrquerystorage/src/google/api/field_behavior.pb.cc | 14 bigrquerystorage-1.2.0/bigrquerystorage/src/google/api/field_behavior.pb.h | 2 bigrquerystorage-1.2.0/bigrquerystorage/src/google/cloud/bigquery/storage/v1/storage.grpc.pb.h | 2 bigrquerystorage-1.2.0/bigrquerystorage/src/google/cloud/bigquery/storage/v1/storage.pb.cc | 388 ++++---- bigrquerystorage-1.2.0/bigrquerystorage/src/google/cloud/bigquery/storage/v1/storage.pb.h | 46 bigrquerystorage-1.2.0/bigrquerystorage/src/google/cloud/bigquery/storage/v1/stream.pb.cc | 189 ++- bigrquerystorage-1.2.0/bigrquerystorage/src/google/cloud/bigquery/storage/v1/stream.pb.h | 103 ++ bigrquerystorage-1.2.0/bigrquerystorage/src/google/cloud/bigquery/storage/v1/table.pb.cc | 337 ++++++- bigrquerystorage-1.2.0/bigrquerystorage/src/google/cloud/bigquery/storage/v1/table.pb.h | 279 +++++ bigrquerystorage-1.2.0/bigrquerystorage/src/protos/google/api/annotations.proto | 2 bigrquerystorage-1.2.0/bigrquerystorage/src/protos/google/api/client.proto | 60 + bigrquerystorage-1.2.0/bigrquerystorage/src/protos/google/api/field_behavior.proto | 4 bigrquerystorage-1.2.0/bigrquerystorage/src/protos/google/api/http.proto | 50 - bigrquerystorage-1.2.0/bigrquerystorage/src/protos/google/api/launch_stage.proto | 2 bigrquerystorage-1.2.0/bigrquerystorage/src/protos/google/api/resource.proto | 11 bigrquerystorage-1.2.0/bigrquerystorage/src/protos/google/cloud/bigquery/storage/v1/arrow.proto | 2 bigrquerystorage-1.2.0/bigrquerystorage/src/protos/google/cloud/bigquery/storage/v1/avro.proto | 2 bigrquerystorage-1.2.0/bigrquerystorage/src/protos/google/cloud/bigquery/storage/v1/protobuf.proto | 2 bigrquerystorage-1.2.0/bigrquerystorage/src/protos/google/cloud/bigquery/storage/v1/storage.proto | 19 bigrquerystorage-1.2.0/bigrquerystorage/src/protos/google/cloud/bigquery/storage/v1/stream.proto | 22 bigrquerystorage-1.2.0/bigrquerystorage/src/protos/google/cloud/bigquery/storage/v1/table.proto | 20 bigrquerystorage-1.2.0/bigrquerystorage/src/protos/google/rpc/status.proto | 2 bigrquerystorage-1.2.0/bigrquerystorage/tests/testthat/test-integration.R | 134 +- 41 files changed, 2291 insertions(+), 649 deletions(-)
More information about bigrquerystorage at CRAN
Permanent link
Title: Forecasting Using State Space Models
Description: Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting.
The package includes ADAM (Svetunkov, 2023, <https://openforecast.org/adam/>),
Exponential Smoothing (Hyndman et al., 2008, <doi: 10.1007/978-3-540-71918-2>),
SARIMA (Svetunkov & Boylan, 2019 <doi: 10.1080/00207543.2019.1600764>),
Complex Exponential Smoothing (Svetunkov & Kourentzes, 2018, <doi: 10.13140/RG.2.2.24986.29123>),
Simple Moving Average (Svetunkov & Petropoulos, 2018 <doi: 10.1080/00207543.2017.1380326>)
and several simulation functions. It also allows dealing with intermittent demand based on the
iETS framework (Svetunkov & Boylan, 2019, <doi: 10.13140/RG.2.2.35897.06242>).
Author: Ivan Svetunkov [aut, cre]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>
Diff between smooth versions 4.0.2 dated 2024-06-19 and 4.1.0 dated 2024-10-01
DESCRIPTION | 16 MD5 | 58 - NAMESPACE | 1 NEWS | 13 R/RcppExports.R | 4 R/adam-msarima.R | 3 R/adam-sma.R | 2 R/adam.R | 457 ++++++++---- R/adamGeneral.R | 14 R/autoadam.R | 24 R/methods.R | 2 README.md | 1 inst/doc/adam.R | 2 inst/doc/adam.Rmd | 6 inst/doc/adam.html | 1593 ++++++++++++++++++++++----------------------- inst/doc/ces.html | 28 inst/doc/es.html | 256 +++---- inst/doc/gum.html | 60 - inst/doc/oes.html | 179 ++--- inst/doc/simulate.html | 220 +++--- inst/doc/sma.html | 61 - inst/doc/smooth.html | 4 inst/doc/ssarima.html | 68 - man/adam.Rd | 12 src/RcppExports.cpp | 7 src/adamGeneral.cpp | 31 src/ssGeneral.cpp | 2 tests/testthat/test_adam.R | 4 tests/testthat/test_es.R | 4 vignettes/adam.Rmd | 6 30 files changed, 1695 insertions(+), 1443 deletions(-)
Title: Interface to the 'PubChem' Database for Chemical Data Retrieval
Description: Provides an interface to the 'PubChem' database via the PUG REST <https://pubchem.ncbi.nlm.nih.gov/docs/pug-rest> and
PUG View <https://pubchem.ncbi.nlm.nih.gov/docs/pug-view> services. This package allows users to automatically
access chemical and biological data from 'PubChem', including compounds, substances, assays, and various other data types.
Functions are available to retrieve data in different formats, perform searches, and access detailed annotations.
Author: Selcuk Korkmaz [aut, cre] ,
Bilge Eren Yamasan [aut] ,
Dincer Goksuluk [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>
Diff between PubChemR versions 2.1 dated 2024-09-27 and 2.1.1 dated 2024-10-01
DESCRIPTION | 6 MD5 | 60 - R/get_aids.R | 49 + R/get_all_sources.R | 30 R/get_assays.R | 55 + R/get_cids.R | 56 + R/get_compounds.R | 57 + R/get_properties.R | 75 +- R/get_pug_rest.R | 418 ++++++------ R/get_pug_view.R | 138 ++- R/get_sdf.R | 58 - R/get_sids.R | 49 + R/get_substances.R | 52 + R/get_synonyms.R | 47 + R/getter_functions.R | 209 ++++-- R/printMethods.R | 9 inst/doc/Enhancing_Chemical_Data_Access_with_PubChemR.html | 19 inst/doc/Exploring_Chemical_Data_with_PubChemR.R | 2 inst/doc/Exploring_Chemical_Data_with_PubChemR.Rmd | 2 inst/doc/Exploring_Chemical_Data_with_PubChemR.html | 242 ++---- inst/doc/Working_with_PubChemR_to_Access_Chemical_Data.R | 40 - inst/doc/Working_with_PubChemR_to_Access_Chemical_Data.Rmd | 8 inst/doc/Working_with_PubChemR_to_Access_Chemical_Data.html | 72 +- man/get_cids.Rd | 2 man/get_pug_rest.Rd | 11 man/get_pug_view.Rd | 3 man/get_synonyms.Rd | 2 tests/testthat/test-get_properties.R | 14 tests/testthat/test-get_pug_rest.R | 5 vignettes/Exploring_Chemical_Data_with_PubChemR.Rmd | 2 vignettes/Working_with_PubChemR_to_Access_Chemical_Data.Rmd | 8 31 files changed, 1124 insertions(+), 676 deletions(-)
Title: Subset Partitioning via Anticlustering
Description: The method of anticlustering partitions a pool of elements
into groups (i.e., anticlusters) with the goal of maximizing
between-group similarity or within-group heterogeneity. The
anticlustering approach thereby reverses the logic of cluster analysis
that strives for high within-group homogeneity and clear separation
between groups. Computationally, anticlustering is accomplished by
maximizing instead of minimizing a clustering objective function, such
as the intra-cluster variance (used in k-means clustering) or the sum
of pairwise distances within clusters. The main function
anticlustering() gives access to optimal and heuristic anticlustering
methods described in Papenberg and Klau (2021;
<doi:10.1037/met0000301>), Brusco et al. (2020;
<doi:10.1111/bmsp.12186>), and Papenberg (2024;
<doi:10.1111/bmsp.12315>). The optimal algorithms require that an
integer linear programming solver is installed. This package will install
'lpSolve' (<https://cran.r-project.org/p [...truncated...]
Author: Martin Papenberg [aut, cre] ,
Meik Michalke [ctb] ,
Gunnar W. Klau [ths],
Juliane V. Nagel [ctb] ,
Martin Breuer [ctb] ,
Marie L. Schaper [ctb] ,
Max Diekhoff [ctb]
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>
Diff between anticlust versions 0.8.5 dated 2024-05-05 and 0.8.7 dated 2024-10-01
DESCRIPTION | 39 +- MD5 | 93 +++---- R/Optimal_Dispersion.R | 241 +++++++++++------- R/bicriterion_iterated_local_search_call.R | 244 ++++++++++++++---- R/c-anticlustering.R | 31 +- R/cannot_link_anticlustering.R |only R/exact-anticlustering.R | 12 R/exact-cluster-editing.R | 2 R/ilp-postprocessing.R | 2 R/ilp-solve.R | 80 ++++-- R/input-validation.R | 84 +++++- R/must-link-anticlustering.R |only R/objective-dispersion.R | 3 R/objective-diversity.R | 7 R/optimal_anticlustering.R | 147 +++++++---- R/optimal_binpacking.R |only R/repeated-exchange.R | 42 +-- R/sample-by-category.R | 4 R/weighted-cluster-editing.R | 18 - R/wrapper-anticlustering.R | 287 ++++++++++++++------- R/wrapper-clustering.R | 15 - build/vignette.rds |binary inst/doc/Best_practices.Rmd | 9 inst/doc/Best_practices.html | 7 inst/doc/Categorical_vars.Rmd | 8 inst/doc/Categorical_vars.html | 63 ++-- inst/doc/Speeding_up_anticlustering.html | 64 ++-- inst/doc/stimulus-selection.html | 42 +-- inst/tinytest/test-brusco.R | 136 ++++++++++ inst/tinytest/test-cannot-link.R |only inst/tinytest/test-diversity-kmeans-equivalence.R |only inst/tinytest/test-ilp-solvers.R |only inst/tinytest/test-must-link.R |only inst/tinytest/test-objective-value.R | 2 inst/tinytest/test-opt-binpacking.R |only inst/tinytest/test-optimal-dispersion.R | 145 +++++------ inst/tinytest/test-singletons.R |only inst/tinytest/test-solving-ilp.R | 2 man/anticlustering.Rd | 187 +++++++++----- man/balanced_clustering.Rd | 12 man/bicriterion_anticlustering.Rd | 108 +++++--- man/optimal_anticlustering.Rd | 104 ++++--- man/optimal_dispersion.Rd | 104 ++++--- man/wce.Rd | 12 src/anticlust_init.c | 8 src/bicriterion_iterated_local_search_call.c | 98 +++++-- src/declarations.h | 9 src/distance-anticlustering.c | 288 +++++++++++++--------- src/header.h | 16 - src/misc-array-methods.c | 12 vignettes/Best_practices.Rmd | 9 vignettes/Categorical_vars.Rmd | 8 52 files changed, 1837 insertions(+), 967 deletions(-)
Title: Tool-Kit for Dynamic Materials Model and Thermal Processing Maps
Description: Provides a simple approach for constructing dynamic materials
modeling suggested by Prasad and Gegel (1984) <doi:10.1007/BF02664902>. It
can easily generate various processing-maps based on this model as well. The
calculation result in this package contains full materials constants, information
about power dissipation efficiency factor, and rheological properties, can
be exported completely also, through which further analysis and customized
plots will be applicable as well.
Author: Chen Zhang [aut, cre, cph] ,
Huakang Bian [ctb],
Kenta Yamanaka [ths] ,
Akihiko Chiba [ths]
Maintainer: Chen Zhang <chen.zhang_06sept@foxmail.com>
Diff between TPMplt versions 0.1.5 dated 2024-09-27 and 0.1.6 dated 2024-10-01
DESCRIPTION | 26 +++++++++++++------------- MD5 | 4 ++-- inst/doc/TPMplt-vignette.html | 4 ++-- 3 files changed, 17 insertions(+), 17 deletions(-)
Title: Synthesize Data Based on Empirical Quantile Functions and Rank
Order Matching
Description: Data is synthesized using a combination of inverse transform
sampling from the empirical quantile functions for each variable, and
then copying the rank order structure from the original dataset. The
package also includes a number of functions to measure the utility of
synthesized datasets.
Author: Mark van der Loo [aut, cre]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>
Diff between synthesizer versions 0.2.0 dated 2024-06-13 and 0.3.0 dated 2024-10-01
DESCRIPTION | 21 ++++++++++++--------- MD5 | 31 ++++++++++++++++--------------- NAMESPACE | 3 +++ NEWS |only R/measures.R | 7 +++++-- R/synthesizer.R | 26 ++++++++++++++++++++++---- build/vignette.rds |binary inst/doc/introduction.R | 3 ++- inst/doc/introduction.html | 14 +++++++------- inst/doc/introduction.md | 20 ++++++++++++-------- inst/tinytest/test_synthesizer.R | 18 ++++++++++++++++++ man/dmean.Rd | 3 +++ man/make_synthesizer.Rd | 3 +++ man/pmse.Rd | 3 +++ man/synthesize.Rd | 3 +++ man/synthesizer-package.Rd | 15 +++++++++++++-- vignettes/introduction.md | 20 ++++++++++++-------- 17 files changed, 134 insertions(+), 56 deletions(-)
Title: Efficient Plotting of Large-Sized Data
Description: A tool to plot data with a large sample size using 'shiny' and 'plotly'.
Relatively small samples are obtained from the original data using a specific algorithm.
The samples are updated according to a user-defined x range.
Jonas Van Der Donckt, Jeroen Van Der Donckt, Emiel Deprost (2022) <https://github.com/predict-idlab/plotly-resampler>.
Author: Junta Tagusari [aut, cre, cph],
Jonas Van Der Donckt [cph],
Jeroen Van Der Donckt [cph],
Emiel Deprost [cph]
Maintainer: Junta Tagusari <j.tagusari@eng.hokudai.ac.jp>
Diff between shinyHugePlot versions 0.2.6 dated 2023-12-18 and 0.3.0 dated 2024-10-01
DESCRIPTION | 10 +- MD5 | 72 +++++++------- NAMESPACE | 161 +++++++++++++++++--------------- NEWS.md | 6 + R/LTTB_aggregator.R | 6 - R/aggregator.R | 201 ++++++++++++++++++++++++----------------- R/candlestick_aggregator.R |only R/custom_func_aggregator.R | 5 - R/custom_stat_aggregator.R | 5 - R/downsampler.R | 127 ++++++++++++++++++++----- R/eLTTB_aggregator.R | 6 - R/max_aggregator.R |only R/min_max_aggregator.R | 47 +++++++++ R/min_max_ovlp_aggregator.R | 5 - R/nth_pnt_aggregator.R | 5 - R/null_aggregator.R | 5 - R/plotly_datahandler.R | 157 ++++++++++++++++++++++++++++++-- R/range_stat_aggregator.R | 7 - R/rms_max_aggregator.R |only R/rng_aggregator.R | 11 +- R/shiny_hugeplot.R | 59 ++++++++++-- README.md | 163 +++++++++++++++++++++++++++++++-- man/LTTB_aggregator.Rd | 5 - man/aggregator.Rd | 19 +-- man/candlestick_aggregator.Rd |only man/custom_func_aggregator.Rd | 5 - man/custom_stat_aggregator.Rd | 5 - man/downsampler.Rd | 6 + man/eLTTB_aggregator.Rd | 10 -- man/max_aggregator.Rd |only man/min_max_aggregator.Rd | 10 -- man/min_max_ovlp_aggregator.Rd | 10 -- man/nth_pnt_aggregator.Rd | 10 -- man/null_aggregator.Rd | 10 -- man/plotly_datahandler.Rd | 34 ++++++ man/range_stat_aggregator.Rd | 7 - man/rms_max_aggregator.Rd |only man/rng_aggregator.Rd | 10 -- man/shinyHugePlot.Rd | 2 man/shiny_hugeplot.Rd | 25 ++++- 40 files changed, 881 insertions(+), 345 deletions(-)
Title: Interface to 'JDemetra+' Seasonal Adjustment Software
Description: Interface around 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially
recommended to the members of the European Statistical System (ESS) and the European System of Central Banks.
It offers full access to all options and outputs of 'JDemetra+', including the two leading seasonal adjustment methods
TRAMO/SEATS+ and X-12ARIMA/X-13ARIMA-SEATS.
Author: Alain Quartier-la-Tente [aut, cre]
,
Anna Michalek [aut],
Jean Palate [aut],
Raf Baeyens [aut]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>
Diff between RJDemetra versions 0.2.6 dated 2024-03-19 and 0.2.7 dated 2024-10-01
RJDemetra-0.2.6/RJDemetra/inst/java/demetra-tstoolkit-2.2.3.jar |only RJDemetra-0.2.7/RJDemetra/DESCRIPTION | 14 RJDemetra-0.2.7/RJDemetra/MD5 | 47 RJDemetra-0.2.7/RJDemetra/NAMESPACE | 1 RJDemetra-0.2.7/RJDemetra/NEWS.md | 12 RJDemetra-0.2.7/RJDemetra/R/benchmarking_spec.R |only RJDemetra-0.2.7/RJDemetra/R/get_jspec.R | 10 RJDemetra-0.2.7/RJDemetra/R/init.R | 2 RJDemetra-0.2.7/RJDemetra/R/jtramoseats.R | 1 RJDemetra-0.2.7/RJDemetra/R/jx13.R | 1 RJDemetra-0.2.7/RJDemetra/R/saveSpec.R | 42 RJDemetra-0.2.7/RJDemetra/R/spec.R | 15 RJDemetra-0.2.7/RJDemetra/R/tramoseats.R | 6 RJDemetra-0.2.7/RJDemetra/R/tramoseats_spec.R | 480 +++++----- RJDemetra-0.2.7/RJDemetra/R/user_defined.R | 476 +++++---- RJDemetra-0.2.7/RJDemetra/R/x13.R | 5 RJDemetra-0.2.7/RJDemetra/R/x13_spec.R | 201 ++-- RJDemetra-0.2.7/RJDemetra/README.md | 33 RJDemetra-0.2.7/RJDemetra/inst/java/demetra-tstoolkit-2.2.5.jar |only RJDemetra-0.2.7/RJDemetra/inst/java/jdr-2.2.4.jar |binary RJDemetra-0.2.7/RJDemetra/java/README | 2 RJDemetra-0.2.7/RJDemetra/man/figures/logo.png |binary RJDemetra-0.2.7/RJDemetra/man/figures/logo.svg | 4 RJDemetra-0.2.7/RJDemetra/man/specification.Rd | 3 RJDemetra-0.2.7/RJDemetra/man/tramoseats_spec.Rd | 17 RJDemetra-0.2.7/RJDemetra/man/x13_spec.Rd | 17 26 files changed, 785 insertions(+), 604 deletions(-)
Title: Fast Polygon to Raster Conversion
Description: Provides a drop-in replacement for rasterize() from the 'raster'
package that takes polygon vector or data frame objects, and is much faster.
There is support for the main options provided by the rasterize() function,
including setting the field used and background value, and options for
aggregating multi-layer rasters. Uses the scan line algorithm attributed to
Wylie et al. (1967) <doi:10.1145/1465611.1465619>.
Author: Noam Ross [aut] ,
Michael Sumner [cre, ctb] ,
Jeroen Ooms [ctb],
Antoine Stevens [ctb],
EcoHealth Alliance [cph],
USAID PREDICT [fnd]
Maintainer: Michael Sumner <mdsumner@gmail.com>
Diff between fasterize versions 1.0.5 dated 2023-11-05 and 1.1.0 dated 2024-10-01
fasterize-1.0.5/fasterize/tests/spelling.R |only fasterize-1.0.5/fasterize/tests/spelling.Rout.save |only fasterize-1.0.5/fasterize/tests/testthat/test-03-rastermethods.R |only fasterize-1.0.5/fasterize/tests/testthat/test-04-funs.R |only fasterize-1.0.5/fasterize/tests/testthat/test-05-by.R |only fasterize-1.1.0/fasterize/DESCRIPTION | 11 fasterize-1.1.0/fasterize/MD5 | 29 -- fasterize-1.1.0/fasterize/NEWS.md | 4 fasterize-1.1.0/fasterize/R/fasterize.R | 19 - fasterize-1.1.0/fasterize/build/partial.rdb |binary fasterize-1.1.0/fasterize/build/vignette.rds |binary fasterize-1.1.0/fasterize/inst/WORDLIST | 1 fasterize-1.1.0/fasterize/inst/doc/using-fasterize.html | 4 fasterize-1.1.0/fasterize/man/fasterize-package.Rd | 3 fasterize-1.1.0/fasterize/man/fasterize.Rd | 19 - fasterize-1.1.0/fasterize/src/fasterize.cpp | 20 - fasterize-1.1.0/fasterize/tests/testthat/test-01-inputcheck.R | 125 ++++++++-- fasterize-1.1.0/fasterize/tests/testthat/test-02-fasterize.R | 34 -- 18 files changed, 156 insertions(+), 113 deletions(-)
Title: Trait Evolution on Phylogenies Using the Cauchy Process
Description: The Cauchy Process can model pulsed continuous trait evolution
on phylogenies. The likelihood is tractable, and is used for parameter
inference and ancestral trait reconstruction.
See Bastide and Didier (2023) <doi:10.1093/sysbio/syad053>.
Author: Gilles Didier [aut, cph],
Paul Bastide [aut, cre]
Maintainer: Paul Bastide <paul.bastide@cnrs.fr>
Diff between cauphy versions 1.0.2 dated 2023-11-29 and 1.0.3 dated 2024-10-01
DESCRIPTION | 12 ++++----- MD5 | 46 +++++++++++++++++++------------------- NEWS.md | 5 +++- R/cauphylm.R | 7 ++++- R/densities.R | 4 +-- R/fitCauchy.R | 4 +-- R/rTraitCauchy.R | 4 +-- R/utils.R | 2 - build/partial.rdb |binary build/vignette.rds |binary inst/WORDLIST | 6 ++-- inst/doc/lizards.R | 36 ++++++++++++++--------------- inst/doc/lizards.html | 28 +++++++++++------------ man/cauphylm.Rd | 2 - man/fitCauchy.Rd | 4 +-- man/fitCauchy.internal.Rd | 2 - man/fit_function.Rd | 2 - man/hdi.ancestralCauchy.Rd | 4 +-- man/printRTreeTest.Rd | 2 - man/rTraitCauchy.Rd | 2 - man/simulateTipsCauchy.Rd | 2 - man/vcov.cauphylm.Rd | 4 ++- src/Cauchy_R.c | 35 ---------------------------- tests/testthat/testFitFunctions.R | 5 ++-- 24 files changed, 96 insertions(+), 122 deletions(-)
Title: Calculate Boundaries and Conditional Power for Single Arm Group
Sequential Test with Binary Endpoint
Description: Consider an at-most-K-stage group sequential design with only an upper bound for the last analysis and non-binding lower bounds.With binary endpoint, two kinds of test can be applied, asymptotic test based on normal distribution and exact test based on binomial distribution. This package supports the computation of boundaries and conditional power for single-arm group sequential test with binary endpoint, via either asymptotic or exact test. The package also provides functions to obtain boundary crossing probabilities given the design.
Author: Lei Wang [aut, cre, cph],
BeiGene, Ltd. [cph]
Maintainer: Lei Wang <slimewanglei@163.com>
Diff between BinGSD versions 0.0.1 dated 2019-10-30 and 1.1 dated 2024-10-01
DESCRIPTION | 17 ++++++++--------- MD5 | 16 ++++++++-------- NEWS.md | 2 ++ R/asymdesign.R | 4 ++-- R/asymprob.r | 2 +- R/exactdesign.r | 6 +++--- man/asymdesign.Rd | 7 +++---- man/asymprob.Rd | 2 +- man/exactdesign.Rd | 6 +++--- 9 files changed, 31 insertions(+), 31 deletions(-)
Title: Interface for the 'QuickJS' Lightweight 'JavaScript' Engine
Description: An 'R' interface to the 'QuickJS' portable 'JavaScript'
engine. The engine and all 'R' to 'JavaScript' interoperability is bundled
within the package, requiring no dependencies beyond a 'C' compiler.
Author: Andrew R. Johnson [aut, cre] ,
Fabrice Bellard [cph] ,
Charlie Gordon [cph] ,
QuickJS-NG Authors [cph]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>
Diff between QuickJSR versions 1.3.1 dated 2024-07-14 and 1.4.0 dated 2024-10-01
QuickJSR-1.3.1/QuickJSR/inst/include/quickjsr/JSON_to_JSValue.hpp |only QuickJSR-1.3.1/QuickJSR/src/quickjs/tests/bjson.c |only QuickJSR-1.3.1/QuickJSR/src/quickjs/tests/test262.patch |only QuickJSR-1.3.1/QuickJSR/src/quickjs/v8-tweak.js |only QuickJSR-1.3.1/QuickJSR/src/quickjs/v8.js |only QuickJSR-1.3.1/QuickJSR/src/quickjs/v8.sh |only QuickJSR-1.3.1/QuickJSR/src/quickjs/v8.txt |only QuickJSR-1.4.0/QuickJSR/DESCRIPTION | 6 QuickJSR-1.4.0/QuickJSR/LICENSE | 4 QuickJSR-1.4.0/QuickJSR/MD5 | 217 QuickJSR-1.4.0/QuickJSR/NAMESPACE | 20 QuickJSR-1.4.0/QuickJSR/NEWS.md | 123 QuickJSR-1.4.0/QuickJSR/R/JSContext.R | 338 QuickJSR-1.4.0/QuickJSR/R/flags.R | 82 QuickJSR-1.4.0/QuickJSR/R/qjs.R | 158 QuickJSR-1.4.0/QuickJSR/R/quickjsr-package.R | 20 QuickJSR-1.4.0/QuickJSR/R/utils.R | 6 QuickJSR-1.4.0/QuickJSR/R/zzz.R | 8 QuickJSR-1.4.0/QuickJSR/README.md | 284 QuickJSR-1.4.0/QuickJSR/build/vignette.rds |binary QuickJSR-1.4.0/QuickJSR/inst/doc/working_with_js_types.R | 80 QuickJSR-1.4.0/QuickJSR/inst/doc/working_with_js_types.Rmd | 224 QuickJSR-1.4.0/QuickJSR/inst/doc/working_with_js_types.html | 1042 - QuickJSR-1.4.0/QuickJSR/inst/include/quickjs |only QuickJSR-1.4.0/QuickJSR/inst/include/quickjsr.hpp | 3 QuickJSR-1.4.0/QuickJSR/inst/include/quickjsr/JSValue_to_SEXP.hpp | 4 QuickJSR-1.4.0/QuickJSR/inst/include/quickjsr/JS_Containers.hpp |only QuickJSR-1.4.0/QuickJSR/inst/include/quickjsr/SEXP_to_JSValue.hpp | 17 QuickJSR-1.4.0/QuickJSR/inst/include/quickjsr/utilities.hpp |only QuickJSR-1.4.0/QuickJSR/inst/tinytest/test_JSContext.R | 94 QuickJSR-1.4.0/QuickJSR/inst/tinytest/test_data_conversion.R | 122 QuickJSR-1.4.0/QuickJSR/inst/tinytest/test_qjs_eval.R | 16 QuickJSR-1.4.0/QuickJSR/inst/tinytest/test_to_json_asis.R | 20 QuickJSR-1.4.0/QuickJSR/inst/tinytest/test_to_json_dataframe.R | 32 QuickJSR-1.4.0/QuickJSR/inst/tinytest/test_to_json_date.R | 28 QuickJSR-1.4.0/QuickJSR/inst/tinytest/test_to_json_factor.R | 12 QuickJSR-1.4.0/QuickJSR/inst/tinytest/test_to_json_matrix.R | 22 QuickJSR-1.4.0/QuickJSR/man/JSContext-method-assign.Rd | 64 QuickJSR-1.4.0/QuickJSR/man/JSContext-method-call.Rd | 66 QuickJSR-1.4.0/QuickJSR/man/JSContext-method-get.Rd | 60 QuickJSR-1.4.0/QuickJSR/man/JSContext-method-source.Rd | 70 QuickJSR-1.4.0/QuickJSR/man/JSContext-method-validate.Rd | 58 QuickJSR-1.4.0/QuickJSR/man/JSContext.Rd | 42 QuickJSR-1.4.0/QuickJSR/man/QuickJSR-package.Rd | 58 QuickJSR-1.4.0/QuickJSR/man/cxxflags.Rd | 38 QuickJSR-1.4.0/QuickJSR/man/from_json.Rd | 34 QuickJSR-1.4.0/QuickJSR/man/ldflags.Rd | 36 QuickJSR-1.4.0/QuickJSR/man/qjs_eval.Rd | 56 QuickJSR-1.4.0/QuickJSR/man/quickjs_version.Rd | 28 QuickJSR-1.4.0/QuickJSR/man/to_json.Rd | 38 QuickJSR-1.4.0/QuickJSR/src/quickjs/CMakeLists.txt | 749 - QuickJSR-1.4.0/QuickJSR/src/quickjs/LICENSE | 48 QuickJSR-1.4.0/QuickJSR/src/quickjs/README.md | 44 QuickJSR-1.4.0/QuickJSR/src/quickjs/cutils.c | 8 QuickJSR-1.4.0/QuickJSR/src/quickjs/cutils.h | 89 QuickJSR-1.4.0/QuickJSR/src/quickjs/doc/quickjs.texi | 2088 +-- QuickJSR-1.4.0/QuickJSR/src/quickjs/examples/fib.c | 10 QuickJSR-1.4.0/QuickJSR/src/quickjs/examples/fib_module.js | 20 QuickJSR-1.4.0/QuickJSR/src/quickjs/examples/hello.js | 2 QuickJSR-1.4.0/QuickJSR/src/quickjs/examples/hello_module.js | 12 QuickJSR-1.4.0/QuickJSR/src/quickjs/examples/pi_bigint.js | 236 QuickJSR-1.4.0/QuickJSR/src/quickjs/examples/point.c | 10 QuickJSR-1.4.0/QuickJSR/src/quickjs/examples/test_fib.js | 14 QuickJSR-1.4.0/QuickJSR/src/quickjs/examples/test_point.js | 83 QuickJSR-1.4.0/QuickJSR/src/quickjs/gen/function_source.c | 101 QuickJSR-1.4.0/QuickJSR/src/quickjs/gen/hello.c | 28 QuickJSR-1.4.0/QuickJSR/src/quickjs/gen/hello_module.c | 128 QuickJSR-1.4.0/QuickJSR/src/quickjs/gen/repl.c | 5385 +++++----- QuickJSR-1.4.0/QuickJSR/src/quickjs/gen/test_fib.c | 68 QuickJSR-1.4.0/QuickJSR/src/quickjs/libbf.h | 8 QuickJSR-1.4.0/QuickJSR/src/quickjs/libregexp-opcode.h | 3 QuickJSR-1.4.0/QuickJSR/src/quickjs/libregexp.c | 171 QuickJSR-1.4.0/QuickJSR/src/quickjs/libregexp.h | 8 QuickJSR-1.4.0/QuickJSR/src/quickjs/libunicode-table.h | 124 QuickJSR-1.4.0/QuickJSR/src/quickjs/libunicode.c | 384 QuickJSR-1.4.0/QuickJSR/src/quickjs/libunicode.h | 10 QuickJSR-1.4.0/QuickJSR/src/quickjs/list.h | 8 QuickJSR-1.4.0/QuickJSR/src/quickjs/qjs.c | 142 QuickJSR-1.4.0/QuickJSR/src/quickjs/qjsc.c | 1 QuickJSR-1.4.0/QuickJSR/src/quickjs/quickjs-atom.h | 3 QuickJSR-1.4.0/QuickJSR/src/quickjs/quickjs-libc.c | 356 QuickJSR-1.4.0/QuickJSR/src/quickjs/quickjs-libc.h | 4 QuickJSR-1.4.0/QuickJSR/src/quickjs/quickjs-opcode.h | 5 QuickJSR-1.4.0/QuickJSR/src/quickjs/quickjs.c | 1647 ++- QuickJSR-1.4.0/QuickJSR/src/quickjs/quickjs.h | 41 QuickJSR-1.4.0/QuickJSR/src/quickjs/repl.js | 3762 +++--- QuickJSR-1.4.0/QuickJSR/src/quickjs/run-test262.c | 2 QuickJSR-1.4.0/QuickJSR/src/quickjs/test262-fast.conf | 264 QuickJSR-1.4.0/QuickJSR/src/quickjs/test262.conf | 762 - QuickJSR-1.4.0/QuickJSR/src/quickjs/test262_errors.txt | 852 + QuickJSR-1.4.0/QuickJSR/src/quickjs/tests/function_source.js | 28 QuickJSR-1.4.0/QuickJSR/src/quickjs/tests/microbench.js | 2254 ++-- QuickJSR-1.4.0/QuickJSR/src/quickjs/tests/test_bigint.js | 278 QuickJSR-1.4.0/QuickJSR/src/quickjs/tests/test_bjson.js | 431 QuickJSR-1.4.0/QuickJSR/src/quickjs/tests/test_builtin.js | 2156 ++-- QuickJSR-1.4.0/QuickJSR/src/quickjs/tests/test_closure.js | 442 QuickJSR-1.4.0/QuickJSR/src/quickjs/tests/test_language.js | 1399 +- QuickJSR-1.4.0/QuickJSR/src/quickjs/tests/test_loop.js | 736 - QuickJSR-1.4.0/QuickJSR/src/quickjs/tests/test_module_detect.js |only QuickJSR-1.4.0/QuickJSR/src/quickjs/tests/test_queue_microtask.js | 168 QuickJSR-1.4.0/QuickJSR/src/quickjs/tests/test_std.js | 600 - QuickJSR-1.4.0/QuickJSR/src/quickjs/tests/test_worker.js | 126 QuickJSR-1.4.0/QuickJSR/src/quickjs/tests/test_worker_module.js | 62 QuickJSR-1.4.0/QuickJSR/src/quickjs/unicode_download.sh | 38 QuickJSR-1.4.0/QuickJSR/src/quickjs/unicode_gen.c | 200 QuickJSR-1.4.0/QuickJSR/src/quickjsr.cpp | 147 QuickJSR-1.4.0/QuickJSR/tests/tinytest.R | 10 QuickJSR-1.4.0/QuickJSR/vignettes/working_with_js_types.Rmd | 224 108 files changed, 16649 insertions(+), 13960 deletions(-)
Title: Statistical Analysis in Epidemiology
Description: Functions for demographic and epidemiological analysis in
the Lexis diagram, i.e. register and cohort follow-up data. In
particular representation, manipulation, rate estimation and
simulation for multistate data - the Lexis suite of functions, which
includes interfaces to 'mstate', 'etm' and 'cmprsk' packages.
Contains functions for Age-Period-Cohort and Lee-Carter modeling and
a function for interval censored data and some useful functions for
tabulation and plotting, as well as a number of epidemiological data
sets.
Author: Bendix Carstensen [aut, cre],
Martyn Plummer [aut],
Esa Laara [ctb],
Michael Hills [ctb]
Maintainer: Bendix Carstensen <b@bxc.dk>
Diff between Epi versions 2.55 dated 2024-09-10 and 2.56 dated 2024-10-01
CHANGES | 4 DESCRIPTION | 8 MD5 | 28 R/ci.Crisk.R | 60 - R/ci.eta.R | 16 inst/doc/addLexis.pdf |binary inst/doc/crisk.R | 2 inst/doc/crisk.pdf |binary inst/doc/crisk.rnw | 2 inst/doc/flup.pdf | 2605 ++++++++++++++++++++++++-------------------------- inst/doc/index.html | 2 inst/doc/simLexis.pdf |binary inst/doc/yll.pdf |binary man/ci.eta.Rd | 4 vignettes/crisk.rnw | 2 15 files changed, 1366 insertions(+), 1367 deletions(-)
Title: Summarise and Visualise Characteristics of Patients in the OMOP
CDM
Description: Summarise and visualise the characteristics of patients in data
mapped to the Observational Medical Outcomes Partnership (OMOP) common data
model (CDM).
Author: Marti Catala [aut, cre] ,
Yuchen Guo [aut] ,
Mike Du [ctb] ,
Kim Lopez-Guell [aut] ,
Edward Burn [aut] ,
Nuria Mercade-Besora [aut] ,
Marta Alcalde [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>
Diff between CohortCharacteristics versions 0.2.2 dated 2024-07-30 and 0.3.0 dated 2024-10-01
CohortCharacteristics-0.2.2/CohortCharacteristics/R/plotInternal.R |only CohortCharacteristics-0.2.2/CohortCharacteristics/R/utils-pipe.R |only CohortCharacteristics-0.2.2/CohortCharacteristics/inst/doc/a06_summarisePatientCharacteristics.R |only CohortCharacteristics-0.2.2/CohortCharacteristics/inst/doc/a06_summarisePatientCharacteristics.Rmd |only CohortCharacteristics-0.2.2/CohortCharacteristics/inst/doc/a06_summarisePatientCharacteristics.html |only CohortCharacteristics-0.2.2/CohortCharacteristics/inst/doc/a07_summariseLargeScaleCharacteristics.R |only CohortCharacteristics-0.2.2/CohortCharacteristics/inst/doc/a07_summariseLargeScaleCharacteristics.Rmd |only CohortCharacteristics-0.2.2/CohortCharacteristics/inst/doc/a07_summariseLargeScaleCharacteristics.html |only CohortCharacteristics-0.2.2/CohortCharacteristics/inst/doc/a08_summariseCohortOverlap.R |only CohortCharacteristics-0.2.2/CohortCharacteristics/inst/doc/a08_summariseCohortOverlap.Rmd |only CohortCharacteristics-0.2.2/CohortCharacteristics/inst/doc/a08_summariseCohortOverlap.html |only CohortCharacteristics-0.2.2/CohortCharacteristics/inst/doc/a09_summariseCohortTiming.R |only CohortCharacteristics-0.2.2/CohortCharacteristics/inst/doc/a09_summariseCohortTiming.Rmd |only CohortCharacteristics-0.2.2/CohortCharacteristics/inst/doc/a09_summariseCohortTiming.html |only CohortCharacteristics-0.2.2/CohortCharacteristics/man/optionsTableCharacteristics.Rd |only CohortCharacteristics-0.2.2/CohortCharacteristics/man/optionsTableCohortOverlap.Rd |only CohortCharacteristics-0.2.2/CohortCharacteristics/man/optionsTableCohortTiming.Rd |only CohortCharacteristics-0.2.2/CohortCharacteristics/man/pipe.Rd |only CohortCharacteristics-0.2.2/CohortCharacteristics/tests/testthat/test-plotSummarised.R |only CohortCharacteristics-0.2.2/CohortCharacteristics/tests/testthat/test-tableSummarised.R |only CohortCharacteristics-0.2.2/CohortCharacteristics/vignettes/a06_summarisePatientCharacteristics.Rmd |only CohortCharacteristics-0.2.2/CohortCharacteristics/vignettes/a07_summariseLargeScaleCharacteristics.Rmd |only CohortCharacteristics-0.2.2/CohortCharacteristics/vignettes/a08_summariseCohortOverlap.Rmd |only CohortCharacteristics-0.2.2/CohortCharacteristics/vignettes/a09_summariseCohortTiming.Rmd |only CohortCharacteristics-0.3.0/CohortCharacteristics/DESCRIPTION | 30 CohortCharacteristics-0.3.0/CohortCharacteristics/MD5 | 185 +- CohortCharacteristics-0.3.0/CohortCharacteristics/NAMESPACE | 17 CohortCharacteristics-0.3.0/CohortCharacteristics/NEWS.md |only CohortCharacteristics-0.3.0/CohortCharacteristics/R/CohortCharacteristics-package.R | 6 CohortCharacteristics-0.3.0/CohortCharacteristics/R/checks.R | 838 ---------- CohortCharacteristics-0.3.0/CohortCharacteristics/R/plotCharacteristics.R | 225 +- CohortCharacteristics-0.3.0/CohortCharacteristics/R/plotCohortAttrition.R | 72 CohortCharacteristics-0.3.0/CohortCharacteristics/R/plotCohortCount.R |only CohortCharacteristics-0.3.0/CohortCharacteristics/R/plotCohortOverlap.R | 165 - CohortCharacteristics-0.3.0/CohortCharacteristics/R/plotCohortTiming.R | 192 -- CohortCharacteristics-0.3.0/CohortCharacteristics/R/plotComparedLargeScaleCharacteristics.R | 424 +---- CohortCharacteristics-0.3.0/CohortCharacteristics/R/plotLargeScaleCharacteristics.R | 291 --- CohortCharacteristics-0.3.0/CohortCharacteristics/R/reexports.R | 22 CohortCharacteristics-0.3.0/CohortCharacteristics/R/summariseCharacteristics.R | 94 - CohortCharacteristics-0.3.0/CohortCharacteristics/R/summariseCohortAttrition.R | 94 + CohortCharacteristics-0.3.0/CohortCharacteristics/R/summariseCohortCount.R | 49 CohortCharacteristics-0.3.0/CohortCharacteristics/R/summariseCohortOverlap.R | 52 CohortCharacteristics-0.3.0/CohortCharacteristics/R/summariseCohortTiming.R | 269 +-- CohortCharacteristics-0.3.0/CohortCharacteristics/R/summariseLargeScaleCharacteristics.R | 96 - CohortCharacteristics-0.3.0/CohortCharacteristics/R/tableCharacteristics.R | 203 -- CohortCharacteristics-0.3.0/CohortCharacteristics/R/tableCohortAttrition.R | 132 - CohortCharacteristics-0.3.0/CohortCharacteristics/R/tableCohortCount.R | 117 - CohortCharacteristics-0.3.0/CohortCharacteristics/R/tableCohortOverlap.R | 190 -- CohortCharacteristics-0.3.0/CohortCharacteristics/R/tableCohortTiming.R | 197 -- CohortCharacteristics-0.3.0/CohortCharacteristics/R/tableLargeScaleCharacteristics.R | 199 -- CohortCharacteristics-0.3.0/CohortCharacteristics/R/utilities.R |only CohortCharacteristics-0.3.0/CohortCharacteristics/README.md | 348 +++- CohortCharacteristics-0.3.0/CohortCharacteristics/build/vignette.rds |binary CohortCharacteristics-0.3.0/CohortCharacteristics/inst/WORDLIST | 67 CohortCharacteristics-0.3.0/CohortCharacteristics/inst/doc/summarise_characteristics.R |only CohortCharacteristics-0.3.0/CohortCharacteristics/inst/doc/summarise_characteristics.Rmd |only CohortCharacteristics-0.3.0/CohortCharacteristics/inst/doc/summarise_characteristics.html |only CohortCharacteristics-0.3.0/CohortCharacteristics/inst/doc/summarise_cohort_overlap.R |only CohortCharacteristics-0.3.0/CohortCharacteristics/inst/doc/summarise_cohort_overlap.Rmd |only CohortCharacteristics-0.3.0/CohortCharacteristics/inst/doc/summarise_cohort_overlap.html |only CohortCharacteristics-0.3.0/CohortCharacteristics/inst/doc/summarise_cohort_timing.R |only CohortCharacteristics-0.3.0/CohortCharacteristics/inst/doc/summarise_cohort_timing.Rmd |only CohortCharacteristics-0.3.0/CohortCharacteristics/inst/doc/summarise_cohort_timing.html |only CohortCharacteristics-0.3.0/CohortCharacteristics/inst/doc/summarise_large_scale_characteristics.R |only CohortCharacteristics-0.3.0/CohortCharacteristics/inst/doc/summarise_large_scale_characteristics.Rmd |only CohortCharacteristics-0.3.0/CohortCharacteristics/inst/doc/summarise_large_scale_characteristics.html |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/CohortCharacteristics-package.Rd | 4 CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/README-unnamed-chunk-10-1.png |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/README-unnamed-chunk-12-1.png |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/README-unnamed-chunk-15-1.png |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/README-unnamed-chunk-16-1.png |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/README-unnamed-chunk-18-1.png |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/README-unnamed-chunk-19-1.png |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/README-unnamed-chunk-20-1.png |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/README-unnamed-chunk-22-1.png |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/README-unnamed-chunk-23-1.png |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/README-unnamed-chunk-25-1.png |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/README-unnamed-chunk-26-1.png |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/README-unnamed-chunk-27-1.png |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/README-unnamed-chunk-9-1.png |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/lifecycle-archived.svg |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/lifecycle-defunct.svg |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/lifecycle-deprecated.svg |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/lifecycle-experimental.svg |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/lifecycle-maturing.svg |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/lifecycle-questioning.svg |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/lifecycle-soft-deprecated.svg |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/lifecycle-stable.svg |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/figures/lifecycle-superseded.svg |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/mockCohortCharacteristics.Rd | 2 CohortCharacteristics-0.3.0/CohortCharacteristics/man/plotCharacteristics.Rd | 61 CohortCharacteristics-0.3.0/CohortCharacteristics/man/plotCohortAttrition.Rd | 23 CohortCharacteristics-0.3.0/CohortCharacteristics/man/plotCohortCount.Rd |only CohortCharacteristics-0.3.0/CohortCharacteristics/man/plotCohortOverlap.Rd | 31 CohortCharacteristics-0.3.0/CohortCharacteristics/man/plotCohortTiming.Rd | 52 CohortCharacteristics-0.3.0/CohortCharacteristics/man/plotComparedLargeScaleCharacteristics.Rd | 73 CohortCharacteristics-0.3.0/CohortCharacteristics/man/plotLargeScaleCharacteristics.Rd | 60 CohortCharacteristics-0.3.0/CohortCharacteristics/man/reexports.Rd | 9 CohortCharacteristics-0.3.0/CohortCharacteristics/man/summariseCharacteristics.Rd | 9 CohortCharacteristics-0.3.0/CohortCharacteristics/man/summariseCohortAttrition.Rd | 9 CohortCharacteristics-0.3.0/CohortCharacteristics/man/summariseCohortCount.Rd | 9 CohortCharacteristics-0.3.0/CohortCharacteristics/man/summariseCohortOverlap.Rd | 11 CohortCharacteristics-0.3.0/CohortCharacteristics/man/summariseCohortTiming.Rd | 16 CohortCharacteristics-0.3.0/CohortCharacteristics/man/summariseLargeScaleCharacteristics.Rd | 39 CohortCharacteristics-0.3.0/CohortCharacteristics/man/tableCharacteristics.Rd | 49 CohortCharacteristics-0.3.0/CohortCharacteristics/man/tableCohortAttrition.Rd | 36 CohortCharacteristics-0.3.0/CohortCharacteristics/man/tableCohortCount.Rd | 45 CohortCharacteristics-0.3.0/CohortCharacteristics/man/tableCohortOverlap.Rd | 40 CohortCharacteristics-0.3.0/CohortCharacteristics/man/tableCohortTiming.Rd | 68 CohortCharacteristics-0.3.0/CohortCharacteristics/man/tableLargeScaleCharacteristics.Rd | 38 CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-plotCharacteristics.R | 119 + CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-plotCohortAttrition.R | 20 CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-plotCohortCount.R |only CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-plotCohortOverlap.R |only CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-plotCohortTiming.R |only CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-plotLargeScaleCharacteristics.R | 112 - CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-summariseCharacteristics.R | 326 ++- CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-summariseCohortAttrition.R |only CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-summariseCohortCount.R |only CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-summariseCohortOverlap.R | 73 CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-summariseCohortTiming.R | 111 - CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-summariseLargeScaleCharacteristics.R | 48 CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-tableCharacteristics.R |only CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-tableCohortAttrition.R |only CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-tableCohortCount.R |only CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-tableCohortOverlap.R |only CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-tableCohortTiming.R |only CohortCharacteristics-0.3.0/CohortCharacteristics/tests/testthat/test-tableLargeScaleCharacteristics.R |only CohortCharacteristics-0.3.0/CohortCharacteristics/vignettes/summarise_characteristics.Rmd |only CohortCharacteristics-0.3.0/CohortCharacteristics/vignettes/summarise_cohort_overlap.Rmd |only CohortCharacteristics-0.3.0/CohortCharacteristics/vignettes/summarise_cohort_timing.Rmd |only CohortCharacteristics-0.3.0/CohortCharacteristics/vignettes/summarise_large_scale_characteristics.Rmd |only 132 files changed, 2523 insertions(+), 3544 deletions(-)
More information about CohortCharacteristics at CRAN
Permanent link
Title: Maximum Approximate Bernstein/Beta Likelihood Estimation
Description: Fit data from a continuous population with a smooth density on finite interval by an approximate Bernstein polynomial model which is a mixture of certain beta distributions and find maximum approximate Bernstein likelihood estimator of the unknown coefficients. Consequently, maximum likelihood estimates of the unknown density, distribution functions, and more can be obtained. If the support of the density is not the unit interval then transformation can be applied. This is an implementation of the methods proposed by the author of this package published in the Journal of Nonparametric Statistics: Guan (2016) <doi:10.1080/10485252.2016.1163349> and Guan (2017) <doi:10.1080/10485252.2017.1374384>. For data with covariates, under some semiparametric regression models such as Cox proportional hazards model and the accelerated failure time model, the baseline survival function can be estimated smoothly based on general interval censored data.
Author: Zhong Guan [aut, cre]
Maintainer: Zhong Guan <zguan@iu.edu>
Diff between mable versions 4.1.0 dated 2024-09-27 and 4.1.1 dated 2024-10-01
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- R/mable-ph-model.r | 30 +++++++++++++++--------------- vignettes/mable.html | 4 ++-- 4 files changed, 24 insertions(+), 24 deletions(-)
Title: 'Burgle': Stealing the Necessary Parts of Model Objects
Description: Provides a way to reduce model objects to necessary parts, making them easier to work with, store, share and simulate multiple values for new responses while allowing for parameter uncertainty.
Author: Paul R. Gunsalus [aut, cre] ,
Jarrod E. Dalton [aut] ,
Adam T. Perzynski [aut]
Maintainer: Paul R. Gunsalus <gunsalp@ccf.org>
Diff between burgle versions 0.1.1 dated 2024-07-09 and 0.1.2 dated 2024-10-01
DESCRIPTION | 13 ++++++++----- MD5 | 13 +++++++------ NAMESPACE | 2 ++ R/burgle_cph.R |only R/burgle_survival.R | 2 +- R/predict_burgle.R | 39 +++++++++++++++++++++++++++++++++++++-- man/burgle_.Rd | 7 +++++-- man/predict_burgle.Rd | 13 ++++++++++--- 8 files changed, 70 insertions(+), 19 deletions(-)
Title: Process ArcGIS Protocol Buffer FeatureCollections
Description: Fast processing of ArcGIS FeatureCollection protocol buffers in R.
It is designed to work seamlessly with 'httr2' and integrates with 'sf'.
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Diff between arcpbf versions 0.1.5 dated 2024-09-17 and 0.1.6 dated 2024-10-01
arcpbf-0.1.5/arcpbf/tests |only arcpbf-0.1.6/arcpbf/DESCRIPTION | 6 +++--- arcpbf-0.1.6/arcpbf/MD5 | 8 ++------ arcpbf-0.1.6/arcpbf/NEWS.md | 4 ++++ 4 files changed, 9 insertions(+), 9 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-02-20 0.3.7
2023-04-03 0.3.6
2021-06-23 0.3.5
2020-04-29 0.3.4
2019-07-18 0.3.3
2019-04-08 0.3.2
2019-01-04 0.3.1
2018-11-19 0.3.0.1
2018-08-28 0.3.0
2018-05-02 0.2.1
2018-01-05 0.2.0
2017-05-23 0.1.3
2016-08-26 0.1.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-02-24 0.9.3
2020-01-10 0.9.2
2019-03-10 0.9.1
2019-02-06 0.9.0
2018-05-23 0.8.0
2018-04-11 0.7.0
2017-07-03 0.6.0
2017-03-14 0.5.0
2016-05-04 0.4.0
2015-07-30 0.3.0
2015-07-23 0.2.1
2015-07-10 0.2.0
2015-05-24 0.1.0
2014-12-27 0.0.2
2014-11-01 0.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-12-07 0.2.37
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-12-08 1.0.10
2021-08-16 1.0.9
2021-02-16 1.0.8
2019-02-03 1.0.7
2018-08-15 1.0.6
2018-07-30 1.0.5
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-01-06 1.2.2
2022-08-24 1.2.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-06-22 2022.1.28
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-05-05 1.3.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-01-11 2.0.2
2023-11-21 2.0.1
2022-03-11 1.3.2
Title: Retrieve, Harmonise and Map Open Data Regarding the Italian
School System
Description: Compiles and displays the available data sets regarding the Italian school system, with a focus on the infrastructural aspects.
Input datasets are downloaded from the web, with the aim of updating everything to real time.
The functions are divided in four main modules, namely
'Get', to scrape raw data from the web
'Util', various utilities needed to process raw data
'Group', to aggregate data at the municipality or province level
'Map', to visualize the output datasets.
Author: Leonardo Cefalo [aut, cre] ,
Alessio Pollice [ctb, ths] ,
Paolo Maranzano [ctb]
Maintainer: Leonardo Cefalo <leonardo.cefalo@uniba.it>
Diff between SchoolDataIT versions 0.2.0 dated 2024-07-19 and 0.2.1 dated 2024-10-01
DESCRIPTION | 6 - MD5 | 54 ++++++------ NEWS.md | 9 ++ R/Get_AdmUnNames.R | 2 R/Get_DB_MIUR.R | 45 ++++++++-- R/Get_Invalsi_IS.R | 13 +- R/Get_Shapefile.R | 27 ++++-- R/Get_nstud.R | 7 + R/Group_DB_MIUR.R | 2 R/Group_nstud.R | 168 +++++++++++++++++++------------------- R/Map_DB.R | 28 ++++++ R/Map_Invalsi.R | 12 +- R/Map_School_Buildings.R | 30 ++++-- R/Set_DB.R | 24 +++-- R/Util_DB_MIUR_num.R | 9 +- R/Util_Invalsi_filter.R | 9 +- R/Util_nstud_wide.R | 152 +++++++++++++++++++++------------- R/example_AdmUnNames20220630.R | 2 R/tabrename.manual.R | 49 +++++------ README.md | 4 man/Get_DB_MIUR.Rd | 11 ++ man/Get_Shapefile.Rd | 19 +++- man/Group_DB_MIUR.Rd | 2 man/Group_nstud.Rd | 3 man/Map_Invalsi.Rd | 8 - man/Set_DB.Rd | 5 - man/Util_nstud_wide.Rd | 15 ++- man/example_AdmUnNames20220630.Rd | 2 28 files changed, 442 insertions(+), 275 deletions(-)
Title: Genotypic Variance Components
Description: Functionalities to compute model based genetic components i.e. genotypic variance, phenotypic variance and heritability for given traits of different genotypes from replicated data using methodology explained by Burton, G. W. & Devane, E. H. (1953) (<doi:10.2134/agronj1953.00021962004500100005x>) and Allard, R.W. (2010, ISBN:8126524154).
Author: Muhammad Yaseen [aut, cre],
Sami Ullah [aut, ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Diff between gvcR versions 0.3.0 dated 2024-09-14 and 0.4.0 dated 2024-10-01
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- NEWS.md | 5 +++++ README.md | 2 -- 4 files changed, 12 insertions(+), 9 deletions(-)
Title: Create Layout Plots of Biological Culture Plates and Microplates
Description: Enables users to create simple plots of biological culture plates as well as microplates. Both continuous and discrete values can be plotted onto the plate layout.
Author: Jan-Philipp Quast [aut, cre]
Maintainer: Jan-Philipp Quast <quast@imsb.biol.ethz.ch>
Diff between ggplate versions 0.1.4 dated 2024-07-10 and 0.1.5 dated 2024-10-01
DESCRIPTION | 8 - MD5 | 42 +++++---- NEWS.md | 4 R/data.R | 9 ++ R/plate_plot.R | 43 +++++++--- README.md | 1 data/data_continuous_1536.rda |only man/data_continuous_1536.Rd |only man/figures/README-24_well_plate_legend_n_row-1.png |binary man/figures/README-6_well_plot_new_colours-1.png |binary man/figures/README-6_well_plot_new_colours_no_legend-1.png |binary man/figures/README-discrete_96_well_plate-1.png |binary man/figures/README-resize_plot-1.png |binary man/figures/README-return_device_size-1.png |binary man/figures/README-standard_plot-1.png |binary man/figures/README-standard_plot_384_well_new_gradient-1.png |binary man/figures/README-standard_plot_384_well_new_limits-1.png |binary man/figures/README-standard_plot_384_well_new_limits_outlier-1.png |binary man/figures/README-standard_plot_48_empty_wells-1.png |binary man/figures/README-standard_plot_6_well-1.png |binary man/figures/README-standard_plot_labels-1.png |binary man/figures/README-standard_plot_labels_wells-1.png |binary man/plate_plot.Rd | 2 23 files changed, 73 insertions(+), 36 deletions(-)
Title: Parametric G-Formula
Description: Implements the non-iterative conditional expectation (NICE)
algorithm of the g-formula algorithm (Robins (1986)
<doi:10.1016/0270-0255(86)90088-6>, Hernán and Robins (2024, ISBN:9781420076165)).
The g-formula can estimate an outcome's counterfactual mean or risk under
hypothetical treatment strategies (interventions) when there is sufficient
information on time-varying treatments and confounders.
This package can be used for discrete or continuous time-varying treatments
and for failure time outcomes or continuous/binary end of follow-up
outcomes. The package can handle a random measurement/visit process and a
priori knowledge of the data structure, as well as censoring (e.g., by loss
to follow-up) and two options for handling competing events for failure time
outcomes. Interventions can be flexibly specified, both as interventions on
a single treatment or as joint interventions on multiple treatments.
See McGrath et al. (2020) <doi:10.1016/j.patter.2020.100008> for a guide [...truncated...]
Author: Victoria Lin [aut] ,
Sean McGrath [aut, cre] ,
Zilu Zhang [aut],
Roger W. Logan [aut],
Lucia C. Petito [aut],
Jing Li [aut],
McGee Emma [aut] ,
Cheng Carrie [aut],
Jessica G. Young [aut] ,
Miguel A. Hernan [aut] ,
2019 The President and Fellows of Ha [...truncated...]
Maintainer: Sean McGrath <sean_mcgrath@g.harvard.edu>
Diff between gfoRmula versions 1.0.4 dated 2024-01-30 and 1.1.0 dated 2024-10-01
DESCRIPTION | 46 +-- MD5 | 75 ++--- NEWS.md | 19 + R/bootstrap.R | 23 + R/comparisons.R | 12 R/gformula.R | 539 +++++++++++++++++++++++++++++------- R/helper.R | 42 ++ R/histories.R | 30 +- R/interventions.R | 39 +- R/pred.R | 60 ++-- R/restrictions.R | 64 ++-- R/s3methods.R | 123 +++----- R/simulate.R | 76 +++-- README.md | 9 build |only inst |only man/bootstrap_helper.Rd | 9 man/carry_forward.Rd | 32 +- man/coef.gformula.Rd | 9 man/error_catch.Rd | 5 man/gformula.Rd | 75 +++-- man/gformula_binary_eof.Rd | 46 ++- man/gformula_continuous_eof.Rd | 46 ++- man/gformula_survival.Rd | 56 ++- man/lagged.Rd | 30 +- man/plot.gformula_binary_eof.Rd | 37 +- man/plot.gformula_continuous_eof.Rd | 29 - man/plot.gformula_survival.Rd | 30 +- man/pred_fun_Y.Rd | 5 man/print.gformula_survival.Rd | 9 man/simple_restriction.Rd | 32 +- man/simulate.Rd | 6 man/static.Rd | 30 +- man/threshold.Rd | 9 man/vcov.gformula.Rd | 9 tests |only vignettes |only 37 files changed, 1109 insertions(+), 552 deletions(-)
Title: Bayesian Models for Data from Unmarked Animals using 'Stan'
Description: Fit Bayesian hierarchical models of animal abundance and occurrence
via the 'rstan' package, the R interface to the 'Stan' C++ library.
Supported models include single-season occupancy, dynamic occupancy, and
N-mixture abundance models. Covariates on model parameters are specified
using a formula-based interface similar to package 'unmarked', while also
allowing for estimation of random slope and intercept terms. References:
Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>;
Fiske and Chandler (2011) <doi:10.18637/jss.v043.i10>.
Author: Ken Kellner [cre, aut]
Maintainer: Ken Kellner <contact@kenkellner.com>
Diff between ubms versions 1.2.6 dated 2023-09-11 and 1.2.7 dated 2024-10-01
DESCRIPTION | 23 ++++---- MD5 | 90 +++++++++++++++++----------------- NAMESPACE | 3 - NEWS.md | 30 +++++++---- R/colext.R | 6 +- R/distsamp.R | 21 +++---- R/fitlist.R | 5 - R/gof.R | 8 --- R/inputs.R | 4 - R/multinomPois.R | 6 +- R/occu.R | 6 +- R/occuRN.R | 6 +- R/occuTTD.R | 6 +- R/pcount.R | 6 +- R/plot_effects.R | 22 +++----- R/plot_posteriors.R | 6 -- R/predict.R | 23 +++++++- R/ranef.R | 41 ++++++++++++++- R/residuals.R | 17 ++---- R/spatial.R | 17 ++---- R/submodel.R | 20 +++---- R/ubms-package.R | 3 - build/vignette.rds |binary inst/doc/spatial-models.Rmd | 88 ++++++++++++++++----------------- inst/doc/spatial-models.html | 48 +++++++++--------- inst/doc/ubms.R | 12 ++-- inst/doc/ubms.Rmd | 4 - inst/doc/ubms.html | 81 +++++++++++++++--------------- man/predict-ubmsFit-method.Rd | 8 +-- man/ranef-ubmsFit-method.Rd | 15 +++++ man/stan_colext.Rd | 6 +- man/stan_distsamp.Rd | 6 +- man/stan_multinomPois.Rd | 6 +- man/stan_occu.Rd | 6 +- man/stan_occuRN.Rd | 6 +- man/stan_occuTTD.Rd | 6 +- man/stan_pcount.Rd | 6 +- man/ubms.Rd | 1 src/simz.cpp | 18 +++--- tests/testthat/test_fitlist.R | 3 - tests/testthat/test_ranef.R | 9 +++ tests/testthat/test_spatial.R | 12 ++++ tests/testthat/test_ubmsFit_methods.R | 23 ++++++++ vignettes/spatial-models.Rmd | 88 ++++++++++++++++----------------- vignettes/spatial_marginal-1.png |binary vignettes/ubms.Rmd | 4 - 46 files changed, 458 insertions(+), 367 deletions(-)
Title: Binary and Categorical Image Similarity Index
Description: Computes a structural similarity metric (after the style of
MS-SSIM for images) for binary and categorical 2D and 3D images. Can be
based on accuracy (simple matching), Cohen's kappa, Rand index, adjusted
Rand index, Jaccard index, Dice index, normalized mutual information, or
adjusted mutual information. In addition, has fast computation
of Cohen's kappa, the Rand indices, and the two mutual informations.
Implements the methods of Thompson and Maitra (2020) <doi:10.48550/arXiv.2004.09073>.
Author: Geoffrey Thompson [aut, cre]
Maintainer: Geoffrey Thompson <gzthompson@gmail.com>
Diff between catsim versions 0.2.3 dated 2020-12-15 and 0.2.4 dated 2024-10-01
DESCRIPTION | 18 - MD5 | 22 - NEWS.md | 6 R/similarity.R | 2 README.md | 11 build/partial.rdb |binary build/vignette.rds |binary inst/doc/two-dimensional-example.html | 533 +++++++++++++++++++++------------- man/catmssim_3d_cube.Rd | 4 man/catmssim_3d_slice.Rd | 4 man/catsim-package.Rd | 1 man/rand.Rd | 2 12 files changed, 369 insertions(+), 234 deletions(-)