Title: Expression Data Analysis and Visualization
Description: Gene Expression Omnibus(GEO) and The Cancer Genome Atlas(TCGA) are common bioinformatics public databases. We integrate the regular analysis and charts for expression data, to analyze and display the data concisely and intuitively.
Author: Xiaojie Sun [aut, cre]
Maintainer: Xiaojie Sun <18763899370@163.com>
Diff between tinyarray versions 2.3.2 dated 2024-01-22 and 2.3.3 dated 2024-04-08
DESCRIPTION | 12 +++--- MD5 | 10 +++-- NAMESPACE | 7 +++ NEWS.md | 8 ++++ R/1_plots.R | 100 ++++++++++++++++++++++++++++++++++++++++++++++++++ man/corheatmap.Rd |only man/corscatterplot.Rd |only 7 files changed, 127 insertions(+), 10 deletions(-)
Title: A Test Environment for Database Requests
Description: Testing and documenting code that communicates with remote
databases can be painful. Although the interaction with R is usually relatively
simple (e.g. data(frames) passed to and from a database), because they rely on
a separate service and the data there, testing them can be difficult to set up,
unsustainable in a continuous integration environment, or impossible without
replicating an entire production cluster. This package addresses that by
allowing you to make recordings from your database interactions and then play
them back while testing (or in other contexts) all without needing to spin up
or have access to the database your code would typically connect to.
Author: Jonathan Keane [aut, cre] ,
Mauricio Vargas [aut] ,
Helen Miller [rev] ,
Etienne Racine [rev]
Maintainer: Jonathan Keane <jkeane@gmail.com>
Diff between dittodb versions 0.1.7 dated 2023-08-13 and 0.1.8 dated 2024-04-08
dittodb-0.1.7/dittodb/inst/REFERENCES.bib |only dittodb-0.1.7/dittodb/inst/paper.md |only dittodb-0.1.8/dittodb/DESCRIPTION | 10 dittodb-0.1.8/dittodb/MD5 | 111 ++++------ dittodb-0.1.8/dittodb/NAMESPACE | 1 dittodb-0.1.8/dittodb/NEWS.md | 4 dittodb-0.1.8/dittodb/R/capture-requests.R | 36 ++- dittodb-0.1.8/dittodb/R/connection.R | 65 ++++- dittodb-0.1.8/dittodb/R/dbMisc.R | 8 dittodb-0.1.8/dittodb/R/dbQueries-Results.R | 41 ++- dittodb-0.1.8/dittodb/R/driver-specific-connections.R | 6 dittodb-0.1.8/dittodb/R/mock-db.R | 16 - dittodb-0.1.8/dittodb/R/mock-paths.R | 2 dittodb-0.1.8/dittodb/R/nycflights13-sql.R | 14 - dittodb-0.1.8/dittodb/R/quote.R | 18 + dittodb-0.1.8/dittodb/R/redact.R | 14 - dittodb-0.1.8/dittodb/R/serialize-bit64.R | 1 dittodb-0.1.8/dittodb/R/transactions.R | 9 dittodb-0.1.8/dittodb/R/use-dittodb.R | 12 - dittodb-0.1.8/dittodb/R/utils.R | 16 - dittodb-0.1.8/dittodb/R/vctrs_s3_register.R | 18 - dittodb-0.1.8/dittodb/README.md | 18 - dittodb-0.1.8/dittodb/build/vignette.rds |binary dittodb-0.1.8/dittodb/inst/doc/developing-dittodb.R | 2 dittodb-0.1.8/dittodb/inst/doc/developing-dittodb.Rmd | 22 - dittodb-0.1.8/dittodb/inst/doc/developing-dittodb.html | 82 +++---- dittodb-0.1.8/dittodb/inst/doc/dittodb.R | 2 dittodb-0.1.8/dittodb/inst/doc/dittodb.Rmd | 14 - dittodb-0.1.8/dittodb/inst/doc/dittodb.html | 29 +- dittodb-0.1.8/dittodb/inst/doc/nycflights.Rmd | 8 dittodb-0.1.8/dittodb/inst/doc/nycflights.html | 20 - dittodb-0.1.8/dittodb/man/check_db_path.Rd |only dittodb-0.1.8/dittodb/man/mock-db-methods.Rd | 2 dittodb-0.1.8/dittodb/man/mockdb.Rd | 12 - dittodb-0.1.8/dittodb/man/nycflights_sqlite.Rd | 4 dittodb-0.1.8/dittodb/man/redact_columns.Rd | 2 dittodb-0.1.8/dittodb/man/sanitize_table_id.Rd | 2 dittodb-0.1.8/dittodb/man/set_dittodb_debug_level.Rd | 8 dittodb-0.1.8/dittodb/man/use_dittodb.Rd | 10 dittodb-0.1.8/dittodb/man/with_mock_path.Rd | 2 dittodb-0.1.8/dittodb/tests/testthat/helper.R | 12 - dittodb-0.1.8/dittodb/tests/testthat/memory/SELECT-0cebdf.R | 11 dittodb-0.1.8/dittodb/tests/testthat/new_db/SELECT-fdfa1b.R | 13 - dittodb-0.1.8/dittodb/tests/testthat/new_mock_path/new_db/SELECT-0cebdf.R | 11 dittodb-0.1.8/dittodb/tests/testthat/test-a-recording.R | 38 +++ dittodb-0.1.8/dittodb/tests/testthat/test-capture-requests.R | 37 +-- dittodb-0.1.8/dittodb/tests/testthat/test-connection.R | 13 - dittodb-0.1.8/dittodb/tests/testthat/test-dbi-generic-integration.R | 10 dittodb-0.1.8/dittodb/tests/testthat/test-dbplyr-integration.R | 2 dittodb-0.1.8/dittodb/tests/testthat/test-mock-paths.R | 9 dittodb-0.1.8/dittodb/tests/testthat/test-nycflights13.R | 57 ++--- dittodb-0.1.8/dittodb/tests/testthat/test-redact.R | 8 dittodb-0.1.8/dittodb/tests/testthat/test-use-dittodb.R | 30 +- dittodb-0.1.8/dittodb/tests/testthat/test-utils.R | 11 dittodb-0.1.8/dittodb/tests/testthat/test-verbosity.R | 6 dittodb-0.1.8/dittodb/vignettes/developing-dittodb.Rmd | 22 - dittodb-0.1.8/dittodb/vignettes/dittodb.Rmd | 14 - dittodb-0.1.8/dittodb/vignettes/nycflights.Rmd | 8 58 files changed, 570 insertions(+), 383 deletions(-)
Title: Univariate and Multivariate Spatial Modeling of Species
Abundance
Description: Fits single-species (univariate) and multi-species (multivariate) non-spatial and spatial abundance models in a Bayesian framework using Markov Chain Monte Carlo (MCMC). Spatial models are fit using Nearest Neighbor Gaussian Processes (NNGPs). Details on NNGP models are given in Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091> and Finley, Datta, and Banerjee (2020) <doi:10.18637/jss.v103.i05>. Fits single-species and multi-species spatial and non-spatial versions of generalized linear mixed models (Gaussian, Poisson, Negative Binomial), N-mixture models (Royle 2004 <doi:10.1111/j.0006-341X.2004.00142.x>) and hierarchical distance sampling models (Royle, Dawson, Bates (2004) <doi:10.1890/03-3127>). Multi-species spatial models are fit using a spatial factor modeling approach with NNGPs for computational efficiency.
Author: Jeffrey Doser [aut, cre],
Andrew Finley [aut]
Maintainer: Jeffrey Doser <doserjef@msu.edu>
Diff between spAbundance versions 0.1.1 dated 2024-03-22 and 0.1.3 dated 2024-04-08
DESCRIPTION | 8 +-- MD5 | 14 +++--- NEWS.md | 7 +++ R/lfMsAbundGaussian.R | 41 +++++++++++++----- R/waicAbund.R | 8 +-- src/init.cpp | 2 src/lfMsAbundGaussian.cpp | 101 +++++++++++++++++++++++++--------------------- src/spAbundance.h | 28 ++++++------ 8 files changed, 122 insertions(+), 87 deletions(-)
Title: A Soil Survey Toolkit
Description: Miscellaneous soil data management, summary, visualization, and conversion utilities to support soil survey.
Author: Dylan Beaudette [cre, aut],
Jay Skovlin [aut],
Stephen Roecker [aut],
Andrew Brown [aut],
USDA-NRCS Soil Survey Staff [ctb]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>
Diff between sharpshootR versions 2.2 dated 2023-08-24 and 2.3 dated 2024-04-08
DESCRIPTION | 13 - MD5 | 31 ++- NAMESPACE | 6 NEWS.md | 12 + R/PCP_plot.R | 1 R/SoilTaxonomyDendrogram.R | 10 - R/WB-summary.R |only R/monthlyWB.R | 326 +++++++++++++++++++++------------------ R/plotWB.R | 6 R/prepare_SSURGO_hydro_data.R | 19 +- build |only inst/doc |only man/monthlyWB.Rd | 60 +++---- man/monthlyWB_summary.Rd |only man/prepare_SSURGO_hydro_data.Rd | 3 tests/testthat/Rplots.pdf |binary tests/testthat/test-WB.R | 22 ++ vignettes |only 18 files changed, 291 insertions(+), 218 deletions(-)
Title: Quantitative Analysis of Textual Data
Description: A fast, flexible, and comprehensive framework for
quantitative text analysis in R. Provides functionality for corpus management,
creating and manipulating tokens and n-grams, exploring keywords in context,
forming and manipulating sparse matrices
of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and
distances, applying content dictionaries, applying supervised and unsupervised machine learning,
visually representing text and text analyses, and more.
Author: Kenneth Benoit [cre, aut, cph]
,
Kohei Watanabe [aut] ,
Haiyan Wang [aut] ,
Paul Nulty [aut] ,
Adam Obeng [aut] ,
Stefan Mueller [aut] ,
Akitaka Matsuo [aut] ,
William Lowe [aut] ,
Christian Mueller [ctb],
Olivier Delmarcelle [ctb] ,
European Research [...truncated...]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>
Diff between quanteda versions 4.0.0 dated 2024-04-04 and 4.0.1 dated 2024-04-08
DESCRIPTION | 8 - MD5 | 25 +++-- NAMESPACE | 1 NEWS.md | 6 + R/kwic.R | 2 R/utils.R | 8 + README.md | 40 +++++++-- configure | 189 +++++++++++++++++--------------------------- configure.ac | 60 +++++++++++++ inst/WORDLIST | 3 man/info_tbb.Rd |only man/kwic.Rd | 2 tests/testthat/test-fcm.R | 7 - tests/testthat/test-utils.R | 6 + 14 files changed, 210 insertions(+), 147 deletions(-)
Title: Modeling the Kinetics of Carbon Dioxide Production in Alcoholic
Fermentation
Description: Developed to help researchers who need to model the kinetics of carbon dioxide (CO2) production in alcoholic fermentation of wines, beers and other fermented products. The following models are available for modeling the carbon dioxide production curve as a function of time: 5PL, Gompertz and 4PL. This package has different functions, which applied can: perform the modeling of the data obtained in the fermentation and return the coefficients, analyze the model fit and return different statistical metrics, and calculate the kinetic parameters: Maximum production of carbon dioxide; Maximum rate of production of carbon dioxide; Moment in which maximum fermentation rate occurs; Duration of the latency phase for carbon dioxide production; Carbon dioxide produced until maximum fermentation rate occurs. In addition, a function that generates graphs with the observed and predicted data from the models, isolated and combined, is available. Gava, A., Borsato, D., & Ficagna, E. (2020)."Effect [...truncated...]
Author: Angelo Gava [aut, cre]
Maintainer: Angelo Gava <gava.angelogava@gmail.com>
Diff between OenoKPM versions 2.3.1 dated 2024-04-07 and 2.4.1 dated 2024-04-08
DESCRIPTION | 8 +-- MD5 | 8 +-- NAMESPACE | 3 + R/plot_fit.R | 130 +++++++++++++++++++++++++++++++++++++++++++++----------- man/plot_fit.Rd | 18 +++++-- 5 files changed, 129 insertions(+), 38 deletions(-)
Title: Generalised Linear Mixed Models in R
Description: Specification, analysis, simulation, and fitting of generalised linear mixed models.
Includes Markov Chain Monte Carlo Maximum likelihood and Laplace approximation model fitting for a range of models,
non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily,
robust and bias-corrected standard error estimation, power calculation, data simulation, and more.
See <https://samuel-watson.github.io/glmmr-web/> for a detailed manual.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>
Diff between glmmrBase versions 0.7.1 dated 2024-02-26 and 0.8.1 dated 2024-04-08
DESCRIPTION | 8 MD5 | 105 ++-- NAMESPACE | 20 R/R6Model.R | 508 ++++++++++++++--------- R/R6covariance.R | 1 R/R6meanfunction.R | 1 R/RcppExports.R | 28 - R/model_s3_functions.R |only R/printfunctions.R | 126 +++++ build/partial.rdb |binary inst/include/glmmr.h | 2 inst/include/glmmr/algo.h | 29 - inst/include/glmmr/calculator.hpp | 157 ++++++- inst/include/glmmr/covariance.hpp | 61 +- inst/include/glmmr/formulaparse.h | 418 +++++++++++++++---- inst/include/glmmr/general.h | 2 inst/include/glmmr/hsgpcovariance.hpp | 6 inst/include/glmmr/instructions.h | 28 + inst/include/glmmr/interpreter.h | 81 +-- inst/include/glmmr/linearpredictor.hpp | 4 inst/include/glmmr/maths.h | 108 ++++- inst/include/glmmr/model.hpp | 38 + inst/include/glmmr/modelbits.hpp | 60 +- inst/include/glmmr/modelmatrix.hpp | 708 ++++++++++++++++++++------------- inst/include/glmmr/modeloptim.hpp | 153 +++---- inst/include/glmmr/nngpcovariance.hpp | 8 inst/include/glmmr/optim/lbfgs.h | 7 inst/include/glmmr/optim/lbfgsb.h | 5 inst/include/glmmr/sparse.h | 2 man/Beta.Rd | 34 - man/Model.Rd | 102 +++- man/coef.Model.Rd |only man/coef.mcml.Rd | 38 - man/confint.mcml.Rd |only man/cross_df.Rd | 52 +- man/cycles.Rd | 34 - man/family.Model.Rd |only man/family.mcml.Rd |only man/fitted.Model.Rd |only man/fitted.mcml.Rd |only man/fixed.effects.Rd | 34 - man/formula.Model.Rd |only man/formula.mcml.Rd |only man/logLik.Model.Rd |only man/logLik.mcml.Rd | 50 +- man/match_rows.Rd | 64 +- man/nest_df.Rd | 54 +- man/predict.Model.Rd |only man/predict.mcml.Rd |only man/progress_bar.Rd | 48 +- man/random.effects.Rd | 34 - man/residuals.Model.Rd |only man/residuals.mcml.Rd |only man/setParallel.Rd | 42 - man/summary.Model.Rd |only man/vcov.Model.Rd |only man/vcov.mcml.Rd |only src/Makevars | 6 src/Makevars.win | 4 src/RcppExports.cpp | 83 ++- src/model_module_2.cpp | 24 - src/model_module_extension.cpp | 55 +- 62 files changed, 2216 insertions(+), 1216 deletions(-)
Title: Pacote Para Analise Multivariada
Description: Package with multivariate analysis methodologies for experiment evaluation.
The package estimates dissimilarity measures, builds dendrograms, obtains MANOVA,
principal components, canonical variables, etc. (Pacote com metodologias de analise
multivariada para avaliação de experimentos. O pacote estima medidas de dissimilaridade,
construi de dendogramas, obtem a MANOVA, componentes principais, variaveis canonicas, etc.)
Author: Alcinei Mistico Azevedo [aut, cre]
Maintainer: Alcinei Mistico Azevedo <alcineimistico@hotmail.com>
Diff between MultivariateAnalysis versions 0.4.4 dated 2021-11-12 and 0.5.0 dated 2024-04-08
MultivariateAnalysis-0.4.4/MultivariateAnalysis/R/Dendograma.R |only MultivariateAnalysis-0.4.4/MultivariateAnalysis/R/MatrixPlot.R |only MultivariateAnalysis-0.4.4/MultivariateAnalysis/man/Dendograma.Rd |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/DESCRIPTION | 14 MultivariateAnalysis-0.5.0/MultivariateAnalysis/MD5 | 160 +- MultivariateAnalysis-0.5.0/MultivariateAnalysis/NAMESPACE | 179 ++- MultivariateAnalysis-0.5.0/MultivariateAnalysis/NEWS.md | 17 MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/AnovaCluster.R |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/ApplyDissimilaridade.R | 15 MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/ComponentesPrincipais.Misto.R | 6 MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/CompontesPrincipais.R | 106 + MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/ContribuicaoRelativa.R |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/CoordenadasPrincipais.R | 95 + MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/CorrelacaoMantel.R | 7 MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/Dendrograma.R | 366 +++++- MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/Dendrograma_NumeroOtimo.R |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/Distancia.R | 3 MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/HeatPlot.R | 108 + MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/Kmeans.R |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/Kmeans_NumeroOtimo.R |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/Kmeans_NumeroOtimo2.R |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/MANOVA.R | 31 MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/MediaDistancia.R | 6 MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/Multicolinearidade.R | 1 MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/Normatiza.R | 3 MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/PairComp.R | 5 MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/Quant2Quali.R | 1 MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/SummaryDistancia.R | 5 MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/Tocher.R | 17 MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/VariaveisCanonicas.R | 37 MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/VariaveisCanonicas2.R | 347 +++-- MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/plot3d.R |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/setwd_script.R |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/zzz.R | 28 MultivariateAnalysis-0.5.0/MultivariateAnalysis/R/zzz_dend.R |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/build/vignette.rds |binary MultivariateAnalysis-0.5.0/MultivariateAnalysis/data/Dados.DIC.txt | 2 MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_DBC_Misto.R | 6 MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_DBC_Misto.Rmd | 4 MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_DBC_Misto.html | 539 ++++++--- MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_Qualitativos_FMI.R | 2 MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_Qualitativos_FMI.html | 376 +++++- MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_binarios.R | 2 MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_binarios.html | 427 +++++-- MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_misto.R | 6 MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_misto.Rmd | 4 MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_misto.html | 499 ++++++-- MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_multicategoricos.R | 4 MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_multicategoricos.Rmd | 2 MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_multicategoricos.html | 469 +++++-- MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_quantitativos_DBC.R | 4 MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_quantitativos_DBC.Rmd | 2 MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_quantitativos_DBC.html | 522 ++++++-- MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_quantitativos_DIC.R | 4 MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_quantitativos_DIC.Rmd | 2 MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_quantitativos_DIC.html | 533 ++++++--- MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_quantitativos_FAT_DBC.R | 5 MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_quantitativos_FAT_DBC.Rmd | 4 MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_quantitativos_FAT_DBC.html | 588 +++++++--- MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_quantitativos_Med.R | 8 MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_quantitativos_Med.Rmd | 7 MultivariateAnalysis-0.5.0/MultivariateAnalysis/inst/doc/Exemplo_dados_quantitativos_Med.html | 471 +++++--- MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/AnovaCluster.Rd |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/ApplyDissimilaridade.Rd | 2 MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/ComponentesPrincipais.Rd | 22 MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/ContribuicaoRelativa.Rd |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/CoordenadasPrincipais.Rd | 42 MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/Dendrograma.Rd | 53 MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/Dendrograma_NumeroOtimo.Rd |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/Distancia.Rd | 2 MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/HeatPlot.Rd | 9 MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/Kmeans.Rd |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/Kmeans_NumeroOtimo.Rd |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/Kmeans_NumeroOtimo2.Rd |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/MANOVA.Rd | 1 MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/MediaDistancia.Rd | 1 MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/Multicolinearidade.Rd | 1 MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/Normatiza.Rd | 2 MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/PairComp.Rd | 4 MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/SummaryDistancia.Rd | 4 MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/Tocher.Rd | 2 MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/VariaveisCanonicas.Rd | 22 MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/plot3d.Rd |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/man/setwd_script.Rd |only MultivariateAnalysis-0.5.0/MultivariateAnalysis/vignettes/Exemplo_dados_DBC_Misto.Rmd | 4 MultivariateAnalysis-0.5.0/MultivariateAnalysis/vignettes/Exemplo_dados_misto.Rmd | 4 MultivariateAnalysis-0.5.0/MultivariateAnalysis/vignettes/Exemplo_dados_multicategoricos.Rmd | 2 MultivariateAnalysis-0.5.0/MultivariateAnalysis/vignettes/Exemplo_dados_quantitativos_DBC.Rmd | 2 MultivariateAnalysis-0.5.0/MultivariateAnalysis/vignettes/Exemplo_dados_quantitativos_DIC.Rmd | 2 MultivariateAnalysis-0.5.0/MultivariateAnalysis/vignettes/Exemplo_dados_quantitativos_FAT_DBC.Rmd | 4 MultivariateAnalysis-0.5.0/MultivariateAnalysis/vignettes/Exemplo_dados_quantitativos_Med.Rmd | 7 91 files changed, 4641 insertions(+), 1600 deletions(-)
More information about MultivariateAnalysis at CRAN
Permanent link
Title: Add Tooltips in 'Shiny' Apps with 'Hint.css'
Description: In 'Shiny' apps, it is sometimes useful to store information
on a particular item in a tooltip. 'Prompter' allows you to easily
create such tooltips, using 'Hint.css'.
Author: Etienne Bacher [aut, cre, cph]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>
Diff between prompter versions 1.1.0 dated 2021-10-07 and 1.2.0 dated 2024-04-08
DESCRIPTION | 9 +++++---- MD5 | 10 +++++----- NEWS.md | 12 ++++++++++++ R/add_prompt.R | 19 ++++++++++++++++++- README.md | 15 ++++++++++++--- inst/hint/hint.min.css | 28 +++++++++++++++++++++++++--- 6 files changed, 77 insertions(+), 16 deletions(-)
Title: Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic
Test Accuracy Studies
Description: The bivariate copula mixed model for meta-analysis of diagnostic test accuracy studies in Nikoloulopoulos (2015) <doi:10.1002/sim.6595> and Nikoloulopoulos (2018) <doi:10.1007/s10182-017-0299-y>. The vine copula mixed model for meta-analysis of diagnostic test accuracy studies accounting for disease prevalence in Nikoloulopoulos (2017) <doi:10.1177/0962280215596769> and also accounting for non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1515/ijb-2019-0107>. The hybrid vine copula mixed model for meta-analysis of diagnostic test accuracy case-control and cohort studies in Nikoloulopoulos (2018) <doi:10.1177/0962280216682376>. The D-vine copula mixed model for meta-analysis and comparison of two diagnostic tests in Nikoloulopoulos (2019) <doi:10.1177/0962280218796685>. The multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic tests with non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1177/0962280220913 [...truncated...]
Author: Aristidis K. Nikoloulopoulos <A.Nikoloulopoulos@uea.ac.uk>
Maintainer: Aristidis K. Nikoloulopoulos <A.Nikoloulopoulos@uea.ac.uk>
Diff between CopulaREMADA versions 1.5.1 dated 2022-08-07 and 1.6.2 dated 2024-04-08
DESCRIPTION | 14 +++++++------- INDEX | 4 ++++ MD5 | 22 ++++++++++++++++------ NAMESPACE | 6 ++++-- R/MLest-6variate-multinomial-beta.R |only R/MLest-6variate-multinomial-norm.R |only R/simFUN-6-variate.R |only build/partial.rdb |binary data/Down.rda |only data/mgrid6d.rda |only man/CopulaREMADA-package.Rd | 6 +++++- man/CopulaREMADA.Rd | 2 +- man/Down.Rd |only man/dvine6dsim.Rd |only man/mgrid6d.Rd |only man/mutinom6dVineCopulaREMADA.Rd |only man/rmultinom6dVineCopulaREMADA.Rd |only 17 files changed, 37 insertions(+), 17 deletions(-)
Title: Marker Association Studies
Description: Genome-wide association analysis that accommodate membership information, variance adjustment, and correlated responses.
Author: Alencar Xavier [aut, cre],
Shizhong Xu [aut, ctb]
Maintainer: Alencar Xavier <alenxav@gmail.com>
Diff between mas versions 0.2.1 dated 2023-11-12 and 0.3 dated 2024-04-08
DESCRIPTION | 10 - MD5 | 22 +- R/RcppExports.R | 8 - R/gwas.R | 5 README.md | 2 build/partial.rdb |binary data/soy.RData |binary man/gwas.Rd | 10 - man/mas.Rd | 5 man/soy.Rd | 6 src/GWAS.cpp | 390 +--------------------------------------------------- src/RcppExports.cpp | 51 ------ 12 files changed, 49 insertions(+), 460 deletions(-)
Title: A Collection of Tools to Conduct Levins' Loop Analysis
Description: Performs Levins' loop analysis of qualitatively-specified complex causal systems. Loop analysis makes qualitative predictions of variable change in a system of causally interdependent variables, where "qualitative" means direct causal relationships and indirect causal effects are coded as sign only (i.e. increases, decreases, no change, and ambiguous). This implementation includes output support for graphs in .dot file format for use with visualization software such as 'graphviz' (<https://graphviz.org>). 'LoopAnalyst' provides tools for the construction and output of community matrices, computation and output of community effect matrices, tables of correlations, adjoint, absolute feedback, weighted feedback and weighted prediction matrices, change in life expectancy matrices, and feedback, path and loop enumeration tools.
Author: Alexis Dinno <alexis.dinno@pdx.edu>
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>
Diff between LoopAnalyst versions 1.2-6 dated 2018-01-19 and 1.2-7 dated 2024-04-08
DESCRIPTION | 12 +++++----- MD5 | 50 ++++++++++++++++++++++---------------------- build/partial.rdb |binary man/LoopAnalyst-package.Rd | 31 ++++++++------------------- man/cem.corr.Rd | 13 +++++++++-- man/cem.levins.Rd | 4 +-- man/cm.DLR.Rd | 2 - man/cm.dambacher.Rd | 4 +-- man/cm.levins.Rd | 4 +-- man/enumerate.loops.Rd | 12 ++++++++-- man/enumerate.paths.Rd | 12 ++++++++-- man/feedback.Rd | 12 ++++++++-- man/graph.cem.Rd | 26 ++++++++++++++-------- man/graph.cm.Rd | 22 +++++++++++++------ man/make.T.Rd | 14 +++++++++--- man/make.adjoint.Rd | 14 +++++++++--- man/make.cem.Rd | 12 ++++++++-- man/make.clem.Rd | 14 +++++++++--- man/make.cm.Rd | 12 ++++++++-- man/make.wfm.Rd | 14 +++++++++--- man/out.cm.Rd | 12 ++++++++-- man/save.cm.Rd | 15 ++++++++++--- man/submatrix.Rd | 4 +-- man/validate.cem.Rd | 12 ++++++++-- man/validate.cm.Rd | 12 ++++++++-- man/weighted.predictions.Rd | 14 +++++++++--- 26 files changed, 240 insertions(+), 113 deletions(-)
Title: Implementation of Cluster-Polarization Coefficient
Description: Implements cluster-polarization coefficient for measuring distributional
polarization in single or multiple dimensions, as well as associated functions.
Contains support for hierarchical clustering, k-means, partitioning around medoids,
density-based spatial clustering with noise, and manually imposed cluster membership.
Mehlhaff (forthcoming) <doi:10.1017/S0003055423001041>.
Author: Isaac Mehlhaff [aut, cre, cph]
Maintainer: Isaac Mehlhaff <isaac.mehlhaff@gmail.com>
Diff between CPC versions 2.5.6 dated 2023-08-09 and 2.6.0 dated 2024-04-08
DESCRIPTION | 10 +++++----- MD5 | 12 ++++++------ NEWS.md | 8 ++++++++ R/CPC.R | 57 ++------------------------------------------------------- R/zzz.R | 2 +- README.md | 8 ++++---- inst/CITATION | 2 +- 7 files changed, 27 insertions(+), 72 deletions(-)
Title: Additive Information & Details of Evidence Synthesis
Description: A supportive collection of functions for pooled analysis of aggregate data. The current version supports users to test assumptions before relevant analysis of bias from study size and sequential analysis such as mentioned by Wetterslev, J., Jakobsen, J. C., & Gluud, C. (2017) <doi:10.1186/s12874-017-0315-7>.
Author: Enoch Kang [aut, cre]
Maintainer: Enoch Kang <y.enoch.kang@gmail.com>
Diff between aides versions 1.3.2 dated 2024-03-07 and 1.3.3 dated 2024-04-08
DESCRIPTION | 8 MD5 | 26 +- NEWS.md | 22 ++ R/aides-package.R | 4 R/do_observed_sequential_analysis.R | 133 +++++++++++---- R/do_sequential_analysis.R | 257 ++++++++++++++++++----------- README.md | 57 ++---- build/vignette.rds |binary inst/doc/An_overview_on_pakcage_aides.Rmd | 9 - inst/doc/An_overview_on_pakcage_aides.html | 24 +- man/DoOSA.Rd | 10 + man/DoSA.Rd | 10 + man/aides-package.Rd | 4 vignettes/An_overview_on_pakcage_aides.Rmd | 9 - 14 files changed, 375 insertions(+), 198 deletions(-)
Title: Imbalanced Resampling using SMOTE with Boosting (SMOTEWB)
Description: Provides the SMOTE with Boosting (SMOTEWB) algorithm. See
F. Sağlam, M. A. Cengiz (2022) <doi:10.1016/j.eswa.2022.117023>. It is a
SMOTE-based resampling technique which creates synthetic data on the links
between nearest neighbors. SMOTEWB uses boosting weights to determine where
to generate new samples and automatically decides the number of neighbors
for eacg sample. It is robust to noise and outperforms most of the
alternatives according to Matthew Correlation Coefficient metric.
Alternative resampling methods are also available in the package.
Author: Fatih Saglam [aut, cre]
Maintainer: Fatih Saglam <saglamf89@gmail.com>
Diff between SMOTEWB versions 1.1.3 dated 2024-01-13 and 1.2.0 dated 2024-04-08
DESCRIPTION | 22 +++---- MD5 | 36 ++++++------ NAMESPACE | 1 R/GSMOTE.R |only R/ROS.R | 74 +++++++++++++----------- R/RUS.R | 54 +++++++++--------- R/SMOTE.R | 2 R/SMOTEWB.R | 70 +++++++++++++++++++++++ R/boosted_weights.R | 12 ++-- man/ADASYN.Rd | 118 +++++++++++++++++++-------------------- man/BLSMOTE.Rd | 130 +++++++++++++++++++++---------------------- man/GSMOTE.Rd |only man/ROS.Rd | 88 +++++++++++++++-------------- man/ROSE.Rd | 114 +++++++++++++++++++------------------- man/RSLSMOTE.Rd | 156 ++++++++++++++++++++++++++-------------------------- man/RUS.Rd | 89 +++++++++++++++-------------- man/RWO.Rd | 102 +++++++++++++++++----------------- man/SLSMOTE.Rd | 142 +++++++++++++++++++++++------------------------ man/SMOTE.Rd | 120 ++++++++++++++++++++-------------------- man/SMOTEWB.Rd | 14 +++- 20 files changed, 724 insertions(+), 620 deletions(-)
Title: Quantitative Support of Decision Making under Uncertainty
Description: Supporting the quantitative analysis of binary welfare based
decision making processes using Monte Carlo simulations. Decision support
is given on two levels: (i) The actual decision level is to choose between
two alternatives under probabilistic uncertainty. This package calculates
the optimal decision based on maximizing expected welfare. (ii) The meta
decision level is to allocate resources to reduce the uncertainty in the
underlying decision problem, i.e to increase the current information to
improve the actual decision making process. This problem is dealt with
using the Value of Information Analysis. The Expected Value of
Information for arbitrary prospective estimates can be calculated as
well as Individual Expected Value of Perfect Information.
The probabilistic calculations are done via Monte Carlo
simulations. This Monte Carlo functionality can be used on its own.
Author: Eike Luedeling [cre, aut] ,
Lutz Goehring [aut] ,
Katja Schiffers [aut] ,
Cory Whitney [aut] ,
Eduardo Fernandez [aut]
Maintainer: Eike Luedeling <eike@eikeluedeling.com>
Diff between decisionSupport versions 1.113 dated 2023-10-05 and 1.114 dated 2024-04-08
DESCRIPTION | 17 ++-- MD5 | 10 +- R/plot_distributions.R | 4 - inst/doc/example_decision_function.html | 56 +++++--------- inst/doc/wildfire_example.html | 127 +++++++++++++++----------------- man/plot_distributions.Rd | 2 6 files changed, 101 insertions(+), 115 deletions(-)
More information about decisionSupport at CRAN
Permanent link
Title: Spatial Price Level Comparisons
Description: Price comparisons within or between countries provide an overall measure of the relative difference in prices, often denoted as price levels. This package provides index number methods for such price comparisons (e.g., The World Bank, 2011, <doi:10.1596/978-0-8213-9728-2>). Moreover, it contains functions for sampling and characterizing price data.
Author: Sebastian Weinand [aut, cre]
Maintainer: Sebastian Weinand <s.weinand90@googlemail.com>
Diff between pricelevels versions 1.1.0 dated 2024-03-26 and 1.2.0 dated 2024-04-08
DESCRIPTION | 6 MD5 | 34 ++--- NAMESPACE | 4 NEWS.md | 12 + R/gkhamis.r | 231 ++++++++------------------------------ R/pricelevels.R | 54 +------- R/sysdata.rda |binary README.md | 3 build/vignette.rds |binary inst/doc/pricelevels-intro.R | 5 inst/doc/pricelevels-intro.Rmd | 18 -- inst/doc/pricelevels-intro.html | 112 +++++++----------- man/gerardi.Rd | 2 man/gkhamis.Rd | 29 +--- man/pricelevels.Rd | 2 tests/testthat/test-gkhamis.R | 53 ++++---- tests/testthat/test-pricelevels.R | 4 vignettes/pricelevels-intro.Rmd | 18 -- 18 files changed, 190 insertions(+), 397 deletions(-)
Title: Fast Agent-Based Epi Models
Description: A flexible framework for Agent-Based Models (ABM), the 'epiworldR' package provides methods for prototyping disease outbreaks and transmission models using a 'C++' backend, making it very fast. It supports multiple epidemiological models, including the Susceptible-Infected-Susceptible (SIS), Susceptible-Infected-Removed (SIR), Susceptible-Exposed-Infected-Removed (SEIR), and others, involving arbitrary mitigation policies and multiple-disease models. Users can specify infectiousness/susceptibility rates as a function of agents' features, providing great complexity for the model dynamics. Furthermore, 'epiworldR' is ideal for simulation studies featuring large populations.
Author: Derek Meyer [aut, cre] ,
George Vega Yon [aut] ,
Susan Holmes [rev] ,
Abinash Satapathy [rev] ,
Carinogurjao [rev],
Centers for Disease Control and Prevention [fnd]
Maintainer: Derek Meyer <derekmeyer37@gmail.com>
Diff between epiworldR versions 0.0-4 dated 2024-02-09 and 0.1-0 dated 2024-04-08
DESCRIPTION | 12 ++-- MD5 | 52 +++++++++-------- NEWS.md | 9 ++- R/make_saver.R | 8 +- README.md | 66 ++++++++++++++-------- build/vignette.rds |binary inst/CITATION |only inst/doc/getting-started.html | 8 +- inst/doc/run-multiple.html | 20 +++--- inst/include/epiworld/math/lfmcmc/lfmcmc-meat.hpp | 7 ++ inst/include/epiworld/model-meat.hpp | 24 +++----- inst/include/epiworld/models/sirlogit.hpp | 28 +++++++++ inst/tinytest/test-multiple.R |only man/ModelDiffNet.Rd | 10 +-- man/ModelSEIR.Rd | 8 +- man/ModelSEIRCONN.Rd | 10 +-- man/ModelSEIRD.Rd | 8 +- man/ModelSEIRDCONN.Rd | 8 +- man/ModelSIR.Rd | 8 +- man/ModelSIRCONN.Rd | 10 +-- man/ModelSIRD.Rd | 8 +- man/ModelSIRDCONN.Rd | 8 +- man/ModelSIRLogit.Rd | 10 +-- man/ModelSIS.Rd | 8 +- man/ModelSISD.Rd | 8 +- man/ModelSURV.Rd | 10 +-- man/epiworld-data.Rd | 10 +-- man/figures/README-transmission-net-1.png |binary 28 files changed, 211 insertions(+), 147 deletions(-)
Title: (Semi)Parametric Estimation and Bootstrapping of INAR Models
Description: Semiparametric and parametric estimation of INAR models including a finite sample refinement (Faymonville et al. (2022) <doi:10.1007/s10260-022-00655-0>) for the semiparametric setting introduced in Drost et al. (2009) <doi:10.1111/j.1467-9868.2008.00687.x>, different procedures to bootstrap INAR data (Jentsch, C. and Weiß, C.H. (2017) <doi:10.3150/18-BEJ1057>) and flexible simulation of INAR data.
Author: Maxime Faymonville [aut, cre] ,
Javiera Riffo [aut] ,
Jonas Rieger [aut] ,
Carsten Jentsch [aut] ,
Christian H. Weiss [ctb]
Maintainer: Maxime Faymonville <faymonville@statistik.tu-dortmund.de>
Diff between spINAR versions 0.1.0 dated 2023-03-26 and 0.2.0 dated 2024-04-08
DESCRIPTION | 19 +++++++++++++------ MD5 | 32 +++++++++++++++++++------------- R/spINAR-package.R | 2 +- R/spinar_boot.R | 24 +++++++++++++----------- R/spinar_est.R | 2 +- R/spinar_est_param.R | 8 +++++--- R/spinar_penal.R | 2 +- R/spinar_penal_val.R | 4 ++-- R/spinar_sim.R | 14 +++++++++++--- README.md | 16 ++++++++++++++-- build/vignette.rds |only inst/CITATION | 21 ++++++++------------- inst/doc |only man/spINAR-package.Rd | 7 ++++++- man/spinar_boot.Rd | 12 ++++++------ tests/testthat/test_spinar_sim.R | 4 ++++ vignettes |only 17 files changed, 104 insertions(+), 63 deletions(-)
Title: Influential Cases in Structural Equation Modeling
Description: Sensitivity analysis in structural equation modeling using
influence measures and diagnostic plots. Support leave-one-out casewise
sensitivity analysis presented by Pek and MacCallum (2011)
<doi:10.1080/00273171.2011.561068> and approximate casewise influence
using scores and casewise likelihood.
Author: Shu Fai Cheung [aut, cre] ,
Mark Hok Chio Lai [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>
Diff between semfindr versions 0.1.6 dated 2023-11-12 and 0.1.8 dated 2024-04-08
semfindr-0.1.6/semfindr/vignettes/articles/multiple_group.html |only semfindr-0.1.8/semfindr/DESCRIPTION | 10 semfindr-0.1.8/semfindr/MD5 | 329 semfindr-0.1.8/semfindr/NAMESPACE | 70 semfindr-0.1.8/semfindr/NEWS.md | 325 semfindr-0.1.8/semfindr/R/approx_check.R | 296 semfindr-0.1.8/semfindr/R/data.R | 444 - semfindr-0.1.8/semfindr/R/data_mg.R | 86 semfindr-0.1.8/semfindr/R/est_change.R | 644 - semfindr-0.1.8/semfindr/R/est_change_approx.R | 560 - semfindr-0.1.8/semfindr/R/est_change_plot.R | 1142 +- semfindr-0.1.8/semfindr/R/est_change_raw.R | 638 - semfindr-0.1.8/semfindr/R/est_change_raw_approx.R | 502 - semfindr-0.1.8/semfindr/R/est_change_raw_user.R | 270 semfindr-0.1.8/semfindr/R/fit_measures_change.R | 358 semfindr-0.1.8/semfindr/R/fit_measures_change_approx.R | 678 - semfindr-0.1.8/semfindr/R/generic_index_plot.R | 570 - semfindr-0.1.8/semfindr/R/helpers.R | 292 semfindr-0.1.8/semfindr/R/implied_scores.R | 536 - semfindr-0.1.8/semfindr/R/influence_plot.R | 1360 +-- semfindr-0.1.8/semfindr/R/influence_stat.R | 412 - semfindr-0.1.8/semfindr/R/lavaan_rerun.R | 952 +- semfindr-0.1.8/semfindr/R/lavaan_rerun_check.R | 238 semfindr-0.1.8/semfindr/R/mahalanobis_exo.R | 314 semfindr-0.1.8/semfindr/R/mahalanobis_rerun.R | 550 - semfindr-0.1.8/semfindr/R/pars_id.R | 1240 +-- semfindr-0.1.8/semfindr/R/print_est_change.R | 486 - semfindr-0.1.8/semfindr/R/print_fit_measures_change.R | 288 semfindr-0.1.8/semfindr/R/print_influence_stat.R | 362 semfindr-0.1.8/semfindr/R/print_lavaan_rerun.R | 202 semfindr-0.1.8/semfindr/R/print_md_semfindr.R | 256 semfindr-0.1.8/semfindr/R/semfindr-package.R | 16 semfindr-0.1.8/semfindr/README.md | 194 semfindr-0.1.8/semfindr/build/partial.rdb |binary semfindr-0.1.8/semfindr/build/vignette.rds |binary semfindr-0.1.8/semfindr/inst/doc/casewise_scores.Rmd | 426 - semfindr-0.1.8/semfindr/inst/doc/casewise_scores.html | 292 semfindr-0.1.8/semfindr/inst/doc/selecting_cases.Rmd | 358 semfindr-0.1.8/semfindr/inst/doc/selecting_cases.html | 292 semfindr-0.1.8/semfindr/inst/doc/semfindr.Rmd | 1854 ++-- semfindr-0.1.8/semfindr/inst/doc/semfindr.html | 1068 +- semfindr-0.1.8/semfindr/inst/doc/user_id.Rmd | 306 semfindr-0.1.8/semfindr/inst/doc/user_id.html | 490 - semfindr-0.1.8/semfindr/man/approx_check.Rd | 140 semfindr-0.1.8/semfindr/man/cfa_dat.Rd | 72 semfindr-0.1.8/semfindr/man/cfa_dat2.Rd | 80 semfindr-0.1.8/semfindr/man/cfa_dat_heywood.Rd | 86 semfindr-0.1.8/semfindr/man/cfa_dat_mg.Rd | 106 semfindr-0.1.8/semfindr/man/est_change.Rd | 348 semfindr-0.1.8/semfindr/man/est_change_approx.Rd | 368 semfindr-0.1.8/semfindr/man/est_change_plot.Rd | 508 - semfindr-0.1.8/semfindr/man/est_change_raw.Rd | 402 - semfindr-0.1.8/semfindr/man/est_change_raw_approx.Rd | 356 semfindr-0.1.8/semfindr/man/fit_measures_change.Rd | 302 semfindr-0.1.8/semfindr/man/fit_measures_change_approx.Rd | 368 semfindr-0.1.8/semfindr/man/implied_scores.Rd | 132 semfindr-0.1.8/semfindr/man/index_plot.Rd | 362 semfindr-0.1.8/semfindr/man/influence_plot.Rd | 606 - semfindr-0.1.8/semfindr/man/influence_stat.Rd | 254 semfindr-0.1.8/semfindr/man/lavaan_rerun.Rd | 356 semfindr-0.1.8/semfindr/man/lavaan_rerun_check.Rd | 110 semfindr-0.1.8/semfindr/man/mahalanobis_predictors.Rd | 170 semfindr-0.1.8/semfindr/man/mahalanobis_rerun.Rd | 242 semfindr-0.1.8/semfindr/man/pa_dat.Rd | 72 semfindr-0.1.8/semfindr/man/pa_dat2.Rd | 80 semfindr-0.1.8/semfindr/man/pars_id.Rd | 380 semfindr-0.1.8/semfindr/man/pars_id_to_lorg.Rd | 196 semfindr-0.1.8/semfindr/man/print.est_change.Rd | 178 semfindr-0.1.8/semfindr/man/print.fit_measures_change.Rd | 180 semfindr-0.1.8/semfindr/man/print.influence_stat.Rd | 276 semfindr-0.1.8/semfindr/man/print.lavaan_rerun.Rd | 82 semfindr-0.1.8/semfindr/man/print.md_semfindr.Rd | 132 semfindr-0.1.8/semfindr/man/sem_dat.Rd | 86 semfindr-0.1.8/semfindr/man/sem_dat2.Rd | 96 semfindr-0.1.8/semfindr/man/semfindr-package.Rd | 60 semfindr-0.1.8/semfindr/man/user_change_raw.Rd | 202 semfindr-0.1.8/semfindr/tests/testthat.R | 8 semfindr-0.1.8/semfindr/tests/testthat/test-approx_check.R | 178 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_approx_multi.R | 390 - semfindr-0.1.8/semfindr/tests/testthat/test-est_change_approx_multi_equal.R | 54 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_approx_single.R | 288 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_approx_single_equal.R | 52 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_loo_multi.R | 184 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_loo_multi_equal.R | 126 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_loo_multi_select_by_op.R | 268 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_loo_single.R | 170 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_loo_single_equal.R | 118 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_loo_single_select_by_op.R | 176 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_plot.R | 248 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_print.R | 146 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_raw_approx_multi.R | 204 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_raw_approx_multi_equal.R | 56 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_raw_approx_multi_labelled.R | 202 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_raw_approx_single.R | 162 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_raw_approx_single_equal.R | 52 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_raw_approx_single_labelled.R | 162 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_raw_loo_multi.R | 220 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_raw_loo_multi_select_by_op.R | 280 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_raw_loo_multi_std.R | 104 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_raw_loo_single.R | 234 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_raw_loo_single_select_by_op.R | 302 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_raw_loo_single_std.R | 92 semfindr-0.1.8/semfindr/tests/testthat/test-est_change_raw_loo_single_user_function.R | 150 semfindr-0.1.8/semfindr/tests/testthat/test-fit_measurse_change_multi.R | 74 semfindr-0.1.8/semfindr/tests/testthat/test-fit_measurse_change_multi_approx.R | 78 semfindr-0.1.8/semfindr/tests/testthat/test-fit_measurse_change_multi_select_by_id.R | 74 semfindr-0.1.8/semfindr/tests/testthat/test-fit_measurse_change_print.R | 76 semfindr-0.1.8/semfindr/tests/testthat/test-fit_measurse_change_single.R | 70 semfindr-0.1.8/semfindr/tests/testthat/test-fit_measurse_change_single_approx.R | 66 semfindr-0.1.8/semfindr/tests/testthat/test-fit_measurse_change_single_select_by_id.R | 70 semfindr-0.1.8/semfindr/tests/testthat/test-full_rank.R | 146 semfindr-0.1.8/semfindr/tests/testthat/test-implied_scores_multi.R | 204 semfindr-0.1.8/semfindr/tests/testthat/test-implied_scores_multi_no_intercepts.R | 168 semfindr-0.1.8/semfindr/tests/testthat/test-implied_scores_single.R | 208 semfindr-0.1.8/semfindr/tests/testthat/test-implied_scores_single_no_intercepts.R | 160 semfindr-0.1.8/semfindr/tests/testthat/test-index_plot.R | 148 semfindr-0.1.8/semfindr/tests/testthat/test-influence_stat_multi.R | 100 semfindr-0.1.8/semfindr/tests/testthat/test-influence_stat_multi_for_approx.R | 94 semfindr-0.1.8/semfindr/tests/testthat/test-influence_stat_multi_select_by_id.R | 100 semfindr-0.1.8/semfindr/tests/testthat/test-influence_stat_print.R | 64 semfindr-0.1.8/semfindr/tests/testthat/test-influence_stat_single.R | 92 semfindr-0.1.8/semfindr/tests/testthat/test-influence_stat_single_for_approx.R | 96 semfindr-0.1.8/semfindr/tests/testthat/test-influence_stat_single_select_by_id.R | 98 semfindr-0.1.8/semfindr/tests/testthat/test-lavaan_rerun.R | 69 semfindr-0.1.8/semfindr/tests/testthat/test-lavaan_rerun_check.R | 118 semfindr-0.1.8/semfindr/tests/testthat/test-lavaan_rerun_multi.R | 82 semfindr-0.1.8/semfindr/tests/testthat/test-lavaan_rerun_multi_heywood.R | 137 semfindr-0.1.8/semfindr/tests/testthat/test-lavaan_rerun_multi_nonconvergence.R | 185 semfindr-0.1.8/semfindr/tests/testthat/test-lavaan_rerun_multi_select_by_id.R | 189 semfindr-0.1.8/semfindr/tests/testthat/test-lavaan_rerun_multi_select_by_md.R | 137 semfindr-0.1.8/semfindr/tests/testthat/test-lavaan_rerun_multi_select_by_residual_md.R | 220 semfindr-0.1.8/semfindr/tests/testthat/test-lavaan_rerun_single_heywood.R | 115 semfindr-0.1.8/semfindr/tests/testthat/test-lavaan_rerun_single_nonconvergence.R | 160 semfindr-0.1.8/semfindr/tests/testthat/test-lavaan_rerun_single_select_by_id.R | 187 semfindr-0.1.8/semfindr/tests/testthat/test-lavaan_rerun_single_select_by_md.R | 135 semfindr-0.1.8/semfindr/tests/testthat/test-lavaan_rerun_single_select_by_residual_md.R | 171 semfindr-0.1.8/semfindr/tests/testthat/test-lavaan_rerun_test_md_id_error.R | 46 semfindr-0.1.8/semfindr/tests/testthat/test-lavaan_rerun_warnings.R | 180 semfindr-0.1.8/semfindr/tests/testthat/test-lavaan_rerun_warnings_print.R | 48 semfindr-0.1.8/semfindr/tests/testthat/test-mahalanobis_exo_multi.R | 170 semfindr-0.1.8/semfindr/tests/testthat/test-mahalanobis_exo_multi_exclude_exo_latent.R | 152 semfindr-0.1.8/semfindr/tests/testthat/test-mahalanobis_exo_multi_missing.R | 144 semfindr-0.1.8/semfindr/tests/testthat/test-mahalanobis_exo_multi_observed_to_latent.R | 98 semfindr-0.1.8/semfindr/tests/testthat/test-mahalanobis_exo_multi_select_md.R | 162 semfindr-0.1.8/semfindr/tests/testthat/test-mahalanobis_exo_single.R | 156 semfindr-0.1.8/semfindr/tests/testthat/test-mahalanobis_exo_single_exclude_exo_latent.R | 132 semfindr-0.1.8/semfindr/tests/testthat/test-mahalanobis_exo_single_missing.R | 120 semfindr-0.1.8/semfindr/tests/testthat/test-mahalanobis_exo_single_observed_to_latent.R | 84 semfindr-0.1.8/semfindr/tests/testthat/test-mahalanobis_exo_single_select_md.R | 140 semfindr-0.1.8/semfindr/tests/testthat/test-mahalanobis_multi.R | 90 semfindr-0.1.8/semfindr/tests/testthat/test-mahalanobis_multi_missing.R | 124 semfindr-0.1.8/semfindr/tests/testthat/test-mahalanobis_multi_select_by_md.R | 100 semfindr-0.1.8/semfindr/tests/testthat/test-mahalanobis_print.R | 88 semfindr-0.1.8/semfindr/tests/testthat/test-mahalanobis_single.R | 78 semfindr-0.1.8/semfindr/tests/testthat/test-mahalanobis_single_missing.R | 86 semfindr-0.1.8/semfindr/tests/testthat/test-mahalanobis_single_select_by_md.R | 90 semfindr-0.1.8/semfindr/tests/testthat/test-nonconvergence_plot.R | 128 semfindr-0.1.8/semfindr/tests/testthat/test-parameter_id.R | 642 - semfindr-0.1.8/semfindr/tests/testthat/test-parameter_id2.R | 84 semfindr-0.1.8/semfindr/vignettes/articles/apa.csl | 3832 +++++----- semfindr-0.1.8/semfindr/vignettes/articles/multiple_group.Rmd | 732 - semfindr-0.1.8/semfindr/vignettes/articles/references.bib | 118 semfindr-0.1.8/semfindr/vignettes/casewise_scores.Rmd | 426 - semfindr-0.1.8/semfindr/vignettes/selecting_cases.Rmd | 358 semfindr-0.1.8/semfindr/vignettes/semfindr.Rmd | 1854 ++-- semfindr-0.1.8/semfindr/vignettes/user_id.Rmd | 306 166 files changed, 23529 insertions(+), 23050 deletions(-)
Title: Create Sankey and Alluvial Diagrams Using 'ggplot2'
Description: Sankey and alluvial diagrams visualise flows of quantities across
stages in stacked bars. This package makes it easy to create such
diagrams using 'ggplot2'.
Author: Pepijn de Vries [aut, cre, dtc]
,
Gerjan Piet [dtc] ,
Ruud Jongbloed [dtc] ,
Anne Grundlehner [dtc] ,
Jacqueline Tamis [dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Diff between ggsankeyfier versions 0.1.7 dated 2024-03-01 and 0.1.8 dated 2024-04-08
ggsankeyfier-0.1.7/ggsankeyfier/NEWS.md |only ggsankeyfier-0.1.7/ggsankeyfier/README.md |only ggsankeyfier-0.1.8/ggsankeyfier/DESCRIPTION | 8 ggsankeyfier-0.1.8/ggsankeyfier/MD5 | 12 ggsankeyfier-0.1.8/ggsankeyfier/R/scale_waist.r | 23 ggsankeyfier-0.1.8/ggsankeyfier/man/figures/README-general_illustration-1.svg | 684 +++++----- ggsankeyfier-0.1.8/ggsankeyfier/man/figures/important_aspects.svg | 215 +-- ggsankeyfier-0.1.8/ggsankeyfier/man/scale_waist.Rd | 155 +- 8 files changed, 549 insertions(+), 548 deletions(-)
Title: Geographical Risk Analysis Based on Habitat Connectivity
Description: The geohabnet package is designed to perform a geographically or spatially explicit risk analysis of habitat connectivity. Xing et al (2021) <doi:10.1093/biosci/biaa067> proposed the concept of cropland connectivity as a risk factor for plant pathogen or pest invasions. As the functions in geohabnet were initially developed thinking on cropland connectivity, users are recommended to first be familiar with the concept by looking at the Xing et al paper. In a nutshell, a habitat connectivity analysis combines information from maps of host density, estimates the relative likelihood of pathogen movement between habitat locations in the area of interest, and applies network analysis to calculate the connectivity of habitat locations.
The functions of geohabnet are built to conduct a habitat connectivity analysis relying on geographic parameters (spatial resolution and spatial extent), dispersal parameters (in two commonly used dispersal kernels: inverse power law and negative exponent [...truncated...]
Author: Krishna Keshav [aut, cre],
Aaron Plex [aut] ,
Garrett Lab [ctb] ,
Karen Garrett [aut] ,
University of Florida [cph, fnd]
Maintainer: Krishna Keshav <kkeshav@ufl.edu>
Diff between geohabnet versions 2.1.1 dated 2024-04-05 and 2.1.2 dated 2024-04-08
DESCRIPTION | 6 MD5 | 186 +-- NAMESPACE | 98 - NEWS.md | 77 - R/connectivity.R | 232 +-- R/geo_network.R | 376 +++--- R/geo_rasters.R | 114 - R/geohabnet-package.R | 20 R/get_rasters.R | 264 ++-- R/gplot.R | 236 ++-- R/hci_helper.R | 796 ++++++------- R/maps.R | 442 +++---- R/metrics.R | 428 +++---- R/models.R | 300 ++--- R/params.R | 438 +++---- R/riskmap.R | 48 R/scales.R | 162 +- R/sean.R | 1468 ++++++++++++------------ R/show.R | 110 - R/spam_crop.R | 152 +- R/strings.R | 94 - R/utils-pipe.R | 28 README.md | 179 +-- build/partial.rdb |binary build/vignette.rds |binary inst/defaultParams.yaml | 68 - inst/doc/LinkWeightsAnalysis.R | 38 inst/doc/LinkWeightsAnalysis.Rmd | 102 - inst/doc/LinkWeightsAnalysis.html | 894 +++++++-------- inst/doc/analysis.R | 314 ++--- inst/doc/analysis.Rmd | 878 +++++++------- inst/doc/analysis.html | 2180 ++++++++++++++++++------------------- inst/parameters.yaml | 68 - man/Dispersal-kernels.Rd | 138 +- man/GeoModel-class.Rd | 34 man/GeoNetwork-class.Rd | 86 - man/GeoRasters-class.Rd | 44 man/GlobalRast-class.Rd | 40 man/Gmap-class.Rd | 82 - man/RiskMap-class.Rd | 42 man/STR_BETWEENNESS.Rd | 32 man/STR_CLOSENESS_CENTRALITY.Rd | 32 man/STR_DEGREE.Rd | 32 man/STR_DISTANCE_MATRIX.Rd | 32 man/STR_EAST.Rd | 32 man/STR_EIGEN_VECTOR_CENTRALITY.Rd | 32 man/STR_NEAREST_NEIGHBORS_SUM.Rd | 32 man/STR_NODE_STRENGTH.Rd | 32 man/STR_PAGE_RANK.Rd | 32 man/STR_WEST.Rd | 32 man/connectivity.Rd | 160 +- man/cropharvest_rast.Rd | 50 man/crops_rast.Rd | 56 man/dist_methods.Rd | 38 man/dot-indices.Rd | 34 man/geohabnet-package.Rd | 80 - man/geoscale_param.Rd | 36 man/get_parameters.Rd | 66 - man/get_rasters.Rd | 58 man/global_scales.Rd | 46 man/gplot.Rd | 50 man/hci_diff.Rd | 70 - man/hci_mean.Rd | 92 - man/hci_variance.Rd | 90 - man/host_density-set.Rd | 32 man/load_parameters.Rd | 46 man/mapspam.Rd | 22 man/monfreda.Rd | 22 man/nn_sum.Rd | 130 +- man/pipe.Rd | 40 man/reset_params.Rd | 38 man/reso.Rd | 30 man/risk_indices.Rd | 44 man/sa_onrasters.Rd | 186 +-- man/scales.Rd | 32 man/sean.Rd | 304 ++--- man/search_crop.Rd | 58 man/sensitivity_analysis.Rd | 148 +- man/set_global_scales.Rd | 50 man/set_parameters.Rd | 52 man/setmaps-Gmap-method.Rd | 46 man/sp_rast.Rd | 74 - man/supported_metrics.Rd | 46 man/supported_sources.Rd | 40 man/tiff_torast.Rd | 54 tests/testthat.R | 24 tests/testthat/params.yaml | 68 - tests/testthat/test-functional.R | 28 tests/testthat/test-get_rasters.R | 6 tests/testthat/test-parameters.R | 82 - tests/testthat/test-utilities.R | 14 vignettes/LinkWeightsAnalysis.Rmd | 102 - vignettes/analysis.Rmd | 878 +++++++------- vignettes/references.bib | 262 ++-- 94 files changed, 7740 insertions(+), 7726 deletions(-)
Title: Recursive Partitioning for Structural Equation Models
Description: SEM Trees and SEM Forests -- an extension of model-based decision
trees and forests to Structural Equation Models (SEM). SEM trees hierarchically
split empirical data into homogeneous groups each sharing similar data patterns
with respect to a SEM by recursively selecting optimal predictors of these
differences. SEM forests are an extension of SEM trees. They are ensembles of
SEM trees each built on a random sample of the original data. By aggregating
over a forest, we obtain measures of variable importance that are more robust
than measures from single trees. A description of the method was published by
Brandmaier, von Oertzen, McArdle, & Lindenberger (2013) <doi:10.1037/a0030001>
and Arnold, Voelkle, & Brandmaier (2020) <doi:10.3389/fpsyg.2020.564403>.
Author: Andreas M. Brandmaier [aut, cre],
John J. Prindle [aut],
Manuel Arnold [aut],
Caspar J. Van Lissa [aut]
Maintainer: Andreas M. Brandmaier <andy@brandmaier.de>
Diff between semtree versions 0.9.19 dated 2023-11-26 and 0.9.20 dated 2024-04-08
semtree-0.9.19/semtree/R/toLatex.R |only semtree-0.9.19/semtree/tests/invariance.R |only semtree-0.9.20/semtree/DESCRIPTION | 18 semtree-0.9.20/semtree/MD5 | 107 +- semtree-0.9.20/semtree/NAMESPACE | 3 semtree-0.9.20/semtree/NEWS.md | 12 semtree-0.9.20/semtree/R/bootstrap.R | 15 semtree-0.9.20/semtree/R/boruta.R | 50 - semtree-0.9.20/semtree/R/checkControl.R | 38 semtree-0.9.20/semtree/R/computePval_maxLR.R | 41 semtree-0.9.20/semtree/R/conditional.R | 124 +- semtree-0.9.20/semtree/R/evaluateTree.R | 25 semtree-0.9.20/semtree/R/evaluateTreeFocus.R | 49 semtree-0.9.20/semtree/R/fairSplit.R | 536 +++++----- semtree-0.9.20/semtree/R/fitSubmodels.R | 7 semtree-0.9.20/semtree/R/gefp_semtree.R | 63 - semtree-0.9.20/semtree/R/getLikelihood.R | 12 semtree-0.9.20/semtree/R/getNumNodes.R | 47 semtree-0.9.20/semtree/R/growTree.R | 550 +++++------ semtree-0.9.20/semtree/R/naiveSplit.R | 205 ++-- semtree-0.9.20/semtree/R/nodeFunSemtree.R | 11 semtree-0.9.20/semtree/R/npar.R |only semtree-0.9.20/semtree/R/parameters.R | 64 - semtree-0.9.20/semtree/R/partialDependence.R | 131 +- semtree-0.9.20/semtree/R/plot.partialDependence.R | 65 - semtree-0.9.20/semtree/R/plot.semtree.R | 127 +- semtree-0.9.20/semtree/R/print.semforest.R | 32 semtree-0.9.20/semtree/R/print.semtree.R | 52 - semtree-0.9.20/semtree/R/recodeAllSubsets.R | 3 semtree-0.9.20/semtree/R/scoreSplit.R | 13 semtree-0.9.20/semtree/R/semforest.R | 7 semtree-0.9.20/semtree/R/semforest.control.R | 10 semtree-0.9.20/semtree/R/semtree-package.R | 1 semtree-0.9.20/semtree/R/semtree.R | 391 ++++--- semtree-0.9.20/semtree/R/semtree.control.R | 13 semtree-0.9.20/semtree/R/toLatex.semtree.R | 5 semtree-0.9.20/semtree/R/vcov_semtree.R | 39 semtree-0.9.20/semtree/inst/doc/constraints.html | 154 +-- semtree-0.9.20/semtree/inst/doc/forests.R | 2 semtree-0.9.20/semtree/inst/doc/forests.Rmd | 2 semtree-0.9.20/semtree/inst/doc/forests.html | 10 semtree-0.9.20/semtree/inst/doc/score-based-tests.html | 8 semtree-0.9.20/semtree/inst/doc/semforest-focus.html | 8 semtree-0.9.20/semtree/man/computePval_maxLR.Rd | 4 semtree-0.9.20/semtree/man/partialDependence.Rd | 2 semtree-0.9.20/semtree/man/partialDependence_growth.Rd | 2 semtree-0.9.20/semtree/man/semforest.control.Rd | 1 semtree-0.9.20/semtree/man/semtree.Rd | 2 semtree-0.9.20/semtree/man/semtree.control.Rd | 2 semtree-0.9.20/semtree/tests/control.R |only semtree-0.9.20/semtree/tests/lavaan.R | 8 semtree-0.9.20/semtree/tests/testthat/invariance.R |only semtree-0.9.20/semtree/tests/testthat/test-basic-splitting.R | 5 semtree-0.9.20/semtree/tests/testthat/test-dummy-split.R |only semtree-0.9.20/semtree/tests/testthat/test-semtree_control.R |only semtree-0.9.20/semtree/tests/testthat/test-traverse.R | 87 + semtree-0.9.20/semtree/tests/vim.R | 7 semtree-0.9.20/semtree/vignettes/forests.Rmd | 2 58 files changed, 1631 insertions(+), 1541 deletions(-)
Title: Scalable Bayesian Rule Lists Model
Description: An efficient implementation of Scalable Bayesian Rule Lists Algorithm, a competitor algorithm for decision tree algorithms; see Hongyu Yang, Cynthia Rudin, Margo Seltzer (2017) <https://proceedings.mlr.press/v70/yang17h.html>. It builds from pre-mined association rules and have a logical structure identical to a decision list or one-sided decision tree. Fully optimized over rule lists, this algorithm strikes practical balance between accuracy, interpretability, and computational speed.
Author: Hongyu Yang [aut, cre],
Morris Chen [ctb],
Cynthia Rudin [aut, ctb],
Margo Seltzer [aut, ctb],
The President and Fellows of Harvard College [cph]
Maintainer: Hongyu Yang <edwardyhy1@gmail.com>
Diff between sbrl versions 1.3 dated 2024-03-26 and 1.4 dated 2024-04-08
sbrl-1.3/sbrl/src/rulelib.c |only sbrl-1.3/sbrl/src/train.c |only sbrl-1.4/sbrl/DESCRIPTION | 8 - sbrl-1.4/sbrl/MD5 | 28 +-- sbrl-1.4/sbrl/R/sbrlmod.R | 6 sbrl-1.4/sbrl/man/get_data_feature_mat.Rd | 4 sbrl-1.4/sbrl/man/predict.sbrl.Rd | 4 sbrl-1.4/sbrl/man/print.sbrl.Rd | 4 sbrl-1.4/sbrl/man/sbrl-package.Rd | 4 sbrl-1.4/sbrl/man/sbrl.Rd | 4 sbrl-1.4/sbrl/man/tictactoe.Rd | 4 sbrl-1.4/sbrl/src/Makevars.in | 2 sbrl-1.4/sbrl/src/Makevars.win | 2 sbrl-1.4/sbrl/src/rcpp_module.cpp | 216 ++++++++++++++++-------------- sbrl-1.4/sbrl/src/rule.h | 213 ++++++++++++++++++++--------- sbrl-1.4/sbrl/src/rulelib.cpp |only sbrl-1.4/sbrl/src/train.cpp |only 17 files changed, 311 insertions(+), 188 deletions(-)
Title: Textual Statistics for the Quantitative Analysis of Textual Data
Description: Textual statistics functions formerly in the 'quanteda' package.
Textual statistics for characterizing and comparing textual data. Includes
functions for measuring term and document frequency, the co-occurrence of
words, similarity and distance between features and documents, feature entropy,
keyword occurrence, readability, and lexical diversity. These functions
extend the 'quanteda' package and are specially designed for sparse textual data.
Author: Kenneth Benoit [cre, aut, cph]
,
Kohei Watanabe [aut] ,
Haiyan Wang [aut] ,
Jiong Wei Lua [aut],
Jouni Kuha [aut] ,
European Research Council [fnd]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>
Diff between quanteda.textstats versions 0.96.4 dated 2023-11-02 and 0.97 dated 2024-04-08
DESCRIPTION | 14 +- MD5 | 36 +++---- NAMESPACE | 1 NEWS.md | 1 R/RcppExports.R | 8 - R/textstat_collocations.R | 7 - R/textstat_keyness.R | 6 - R/textstat_readability.R | 4 R/textstat_simil.R | 1 README.md | 2 build/partial.rdb |binary inst/WORDLIST | 5 inst/deftbb.R |only inst/libtbb.R |only man/textstat_readability.Rd | 4 src/Makevars | 6 - src/Makevars.win | 7 - src/RcppExports.cpp | 22 ++-- src/collocations.cpp | 223 ++++++++++++++------------------------------ src/keyness.cpp | 105 ++++++++++---------- 20 files changed, 182 insertions(+), 270 deletions(-)
More information about quanteda.textstats at CRAN
Permanent link
Title: Text Mining of PubMed Abstracts
Description: Text mining of PubMed Abstracts (text and XML) from <https://pubmed.ncbi.nlm.nih.gov/>.
Author: Jyoti Rani, S.Ramachandran, Ab Rauf Shah
Maintainer: S. Ramachandran <ramuigib@gmail.com>
Diff between pubmed.mineR versions 1.0.19 dated 2021-11-26 and 1.0.20 dated 2024-04-08
DESCRIPTION | 10 ++----- MD5 | 14 ++++----- R/new_xmlreadabs.R | 65 +++++++++++++++++++++++++++++++++------------- data/GeneToEntrez.rda |binary data/HGNC2UniprotID.rda |binary data/HGNCdata.rda |binary data/common_words_new.rda |binary inst/CITATION | 16 +++++++---- 8 files changed, 69 insertions(+), 36 deletions(-)
Title: 'caret' Applications for Spatial-Temporal Models
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. It includes the newly suggested 'Nearest neighbor distance matching' cross-validation to estimate the performance of spatial prediction models and allows for spatial variable selection to selects suitable predictor variables in view to their contribution to the spatial model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>; Milà et al. (2022) <doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022) <doi:10.1038/s41467-022-29838-9>; L [...truncated...]
Author: Hanna Meyer [cre, aut],
Carles Mila [aut],
Marvin Ludwig [aut],
Jan Linnenbrink [aut],
Fabian Schumacher [aut],
Philipp Otto [ctb],
Chris Reudenbach [ctb],
Thomas Nauss [ctb],
Edzer Pebesma [ctb]
Maintainer: Hanna Meyer <hanna.meyer@uni-muenster.de>
Diff between CAST versions 0.9.0 dated 2024-01-09 and 1.0.0 dated 2024-04-08
CAST-0.9.0/CAST/R/DItoErrormetric.R |only CAST-0.9.0/CAST/R/calibrate_aoa.R |only CAST-0.9.0/CAST/R/plot_ffs.R |only CAST-0.9.0/CAST/R/plot_geodist.R |only CAST-0.9.0/CAST/inst/doc/cast01-CAST-intro-cookfarm.R |only CAST-0.9.0/CAST/inst/doc/cast01-CAST-intro-cookfarm.Rmd |only CAST-0.9.0/CAST/inst/doc/cast01-CAST-intro-cookfarm.html |only CAST-0.9.0/CAST/inst/doc/cast02-AOA-tutorial.R |only CAST-0.9.0/CAST/inst/doc/cast02-AOA-tutorial.Rmd |only CAST-0.9.0/CAST/inst/doc/cast02-AOA-tutorial.html |only CAST-0.9.0/CAST/inst/doc/cast03-AOA-parallel.R |only CAST-0.9.0/CAST/inst/doc/cast03-AOA-parallel.Rmd |only CAST-0.9.0/CAST/inst/doc/cast03-AOA-parallel.html |only CAST-0.9.0/CAST/inst/doc/cast04-plotgeodist.R |only CAST-0.9.0/CAST/inst/doc/cast04-plotgeodist.Rmd |only CAST-0.9.0/CAST/inst/doc/cast04-plotgeodist.html |only CAST-0.9.0/CAST/inst/examples |only CAST-0.9.0/CAST/inst/extdata/Cookfarm.RDS |only CAST-0.9.0/CAST/inst/extdata/bioclim_global.tif |only CAST-0.9.0/CAST/man/DItoErrormetric.Rd |only CAST-0.9.0/CAST/man/calibrate_aoa.Rd |only CAST-0.9.0/CAST/man/errorModel.Rd |only CAST-0.9.0/CAST/man/get_preds_all.Rd |only CAST-0.9.0/CAST/man/multiCV.Rd |only CAST-0.9.0/CAST/man/plot_ffs.Rd |only CAST-0.9.0/CAST/man/plot_geodist.Rd |only CAST-0.9.0/CAST/vignettes/cast01-CAST-intro-cookfarm.Rmd |only CAST-0.9.0/CAST/vignettes/cast02-AOA-tutorial.Rmd |only CAST-0.9.0/CAST/vignettes/cast03-AOA-parallel.Rmd |only CAST-0.9.0/CAST/vignettes/cast04-plotgeodist.Rmd |only CAST-1.0.0/CAST/DESCRIPTION | 15 CAST-1.0.0/CAST/MD5 | 130 +-- CAST-1.0.0/CAST/NAMESPACE | 9 CAST-1.0.0/CAST/NEWS.md | 20 CAST-1.0.0/CAST/R/CAST-package.R | 11 CAST-1.0.0/CAST/R/CreateSpacetimeFolds.R | 7 CAST-1.0.0/CAST/R/aoa.R | 255 +++++- CAST-1.0.0/CAST/R/bss.R | 4 CAST-1.0.0/CAST/R/cookfarm.R |only CAST-1.0.0/CAST/R/errorProfiles.R |only CAST-1.0.0/CAST/R/ffs.R | 500 ++++++++++-- CAST-1.0.0/CAST/R/geodist.R | 311 ++++++-- CAST-1.0.0/CAST/R/global_validation.R | 5 CAST-1.0.0/CAST/R/knndm.R | 579 +++++++++++++-- CAST-1.0.0/CAST/R/nndm.R | 364 +++++++-- CAST-1.0.0/CAST/R/normalize_DI.R |only CAST-1.0.0/CAST/R/plot.R | 307 +++++-- CAST-1.0.0/CAST/R/print.R | 5 CAST-1.0.0/CAST/R/trainDI.R | 183 +++- CAST-1.0.0/CAST/README.md | 11 CAST-1.0.0/CAST/build/partial.rdb |binary CAST-1.0.0/CAST/build/vignette.rds |binary CAST-1.0.0/CAST/data/cookfarm.rda |only CAST-1.0.0/CAST/data/splotdata.rda |binary CAST-1.0.0/CAST/inst/doc/cast01-CAST-intro.R |only CAST-1.0.0/CAST/inst/doc/cast01-CAST-intro.Rmd |only CAST-1.0.0/CAST/inst/doc/cast01-CAST-intro.html |only CAST-1.0.0/CAST/inst/doc/cast02-plotgeodist.R |only CAST-1.0.0/CAST/inst/doc/cast02-plotgeodist.Rmd |only CAST-1.0.0/CAST/inst/doc/cast02-plotgeodist.html |only CAST-1.0.0/CAST/inst/doc/cast03-CV.R |only CAST-1.0.0/CAST/inst/doc/cast03-CV.Rmd |only CAST-1.0.0/CAST/inst/doc/cast03-CV.html |only CAST-1.0.0/CAST/inst/doc/cast04-AOA-tutorial.R |only CAST-1.0.0/CAST/inst/doc/cast04-AOA-tutorial.Rmd |only CAST-1.0.0/CAST/inst/doc/cast04-AOA-tutorial.html |only CAST-1.0.0/CAST/inst/doc/cast05-parallel.R |only CAST-1.0.0/CAST/inst/doc/cast05-parallel.Rmd |only CAST-1.0.0/CAST/inst/doc/cast05-parallel.html |only CAST-1.0.0/CAST/man/CAST.Rd | 12 CAST-1.0.0/CAST/man/CreateSpacetimeFolds.Rd | 4 CAST-1.0.0/CAST/man/aoa.Rd | 40 - CAST-1.0.0/CAST/man/bss.Rd | 4 CAST-1.0.0/CAST/man/cookfarm.Rd |only CAST-1.0.0/CAST/man/errorProfiles.Rd |only CAST-1.0.0/CAST/man/ffs.Rd | 41 - CAST-1.0.0/CAST/man/geodist.Rd | 36 CAST-1.0.0/CAST/man/global_validation.Rd | 5 CAST-1.0.0/CAST/man/knndm.Rd | 96 +- CAST-1.0.0/CAST/man/nndm.Rd | 103 +- CAST-1.0.0/CAST/man/normalize_DI.Rd |only CAST-1.0.0/CAST/man/plot.Rd | 25 CAST-1.0.0/CAST/man/trainDI.Rd | 57 - CAST-1.0.0/CAST/tests/testthat/test-aoa.R |only CAST-1.0.0/CAST/tests/testthat/test-errorProfiles.R |only CAST-1.0.0/CAST/tests/testthat/test-fss.R |only CAST-1.0.0/CAST/tests/testthat/test-geodist.R |only CAST-1.0.0/CAST/tests/testthat/test-global_validation.R |only CAST-1.0.0/CAST/tests/testthat/test-knndm.R | 234 +++++- CAST-1.0.0/CAST/tests/testthat/test-nndm.R |only CAST-1.0.0/CAST/tests/testthat/test_trainDI.R |only CAST-1.0.0/CAST/vignettes/cast01-CAST-intro.Rmd |only CAST-1.0.0/CAST/vignettes/cast02-CV.R |only CAST-1.0.0/CAST/vignettes/cast02-CV.html |only CAST-1.0.0/CAST/vignettes/cast02-plotgeodist.Rmd |only CAST-1.0.0/CAST/vignettes/cast03-CV.Rmd |only CAST-1.0.0/CAST/vignettes/cast03-plotgeodist.R |only CAST-1.0.0/CAST/vignettes/cast03-plotgeodist.html |only CAST-1.0.0/CAST/vignettes/cast04-AOA-tutorial.Rmd |only CAST-1.0.0/CAST/vignettes/cast05-parallel.Rmd |only 100 files changed, 2666 insertions(+), 707 deletions(-)
Title: Bifurcating Autoregressive Models
Description: Estimation of bifurcating autoregressive models of any order, p, BAR(p) as well as several types of bias correction for the least squares estimators of the autoregressive parameters as described in Zhou and Basawa (2005) <doi:10.1016/j.spl.2005.04.024> and Elbayoumi and Mostafa (2020) <doi:10.1002/sta4.342>. Currently, the bias correction methods supported include bootstrap (single, double and fast-double) bias correction and linear-bias-function-based bias correction. Functions for generating and plotting bifurcating autoregressive data from any BAR(p) model are also included. This new version includes calculating several type of bias-corrected and -uncorrected confidence intervals for the least squares estimators of the autoregressive parameters as described in Elbayoumi and Mostafa (2023)
<doi:10.6339/23-JDS1092>.
Author: Tamer Elbayoumi [aut, cre],
Sayed Mostafa [aut]
Maintainer: Tamer Elbayoumi <tmelbayoumi@ncat.edu>
Diff between bifurcatingr versions 2.0.0 dated 2023-06-21 and 2.1.0 dated 2024-04-08
bifurcatingr-2.0.0/bifurcatingr/R/bfa.boot.ci.R |only bifurcatingr-2.0.0/bifurcatingr/R/bfa.boot.ls.bc.R |only bifurcatingr-2.0.0/bifurcatingr/R/bfa.boot1.ls.R |only bifurcatingr-2.0.0/bifurcatingr/R/bfa.boot2.ls.R |only bifurcatingr-2.0.0/bifurcatingr/R/bfa.boot2fast.ls.R |only bifurcatingr-2.0.0/bifurcatingr/R/bfa.lbc.ls.R |only bifurcatingr-2.0.0/bifurcatingr/R/bfa.ls.R |only bifurcatingr-2.0.0/bifurcatingr/R/bfa.ls.bc.R |only bifurcatingr-2.0.0/bifurcatingr/R/bfa.ls.bc.ci.R |only bifurcatingr-2.0.0/bifurcatingr/R/bfa.perc.bc.ci.R |only bifurcatingr-2.0.0/bifurcatingr/R/bfa.perc.ci.R |only bifurcatingr-2.0.0/bifurcatingr/R/bfa.scatterplot.R |only bifurcatingr-2.0.0/bifurcatingr/R/bfa.subtree.R |only bifurcatingr-2.0.0/bifurcatingr/R/bfa.tree.gen.R |only bifurcatingr-2.0.0/bifurcatingr/R/bfa.tree.plot.R |only bifurcatingr-2.0.0/bifurcatingr/R/boot.bca.ci.R |only bifurcatingr-2.0.0/bifurcatingr/man/bfa.boot.ci.Rd |only bifurcatingr-2.0.0/bifurcatingr/man/bfa.boot.ls.bc.Rd |only bifurcatingr-2.0.0/bifurcatingr/man/bfa.boot1.ls.Rd |only bifurcatingr-2.0.0/bifurcatingr/man/bfa.boot2.ls.Rd |only bifurcatingr-2.0.0/bifurcatingr/man/bfa.boot2fast.ls.Rd |only bifurcatingr-2.0.0/bifurcatingr/man/bfa.lbc.ls.Rd |only bifurcatingr-2.0.0/bifurcatingr/man/bfa.ls.Rd |only bifurcatingr-2.0.0/bifurcatingr/man/bfa.ls.bc.Rd |only bifurcatingr-2.0.0/bifurcatingr/man/bfa.ls.bc.ci.Rd |only bifurcatingr-2.0.0/bifurcatingr/man/bfa.perc.bc.ci.Rd |only bifurcatingr-2.0.0/bifurcatingr/man/bfa.perc.ci.Rd |only bifurcatingr-2.0.0/bifurcatingr/man/bfa.scatterplot.Rd |only bifurcatingr-2.0.0/bifurcatingr/man/bfa.subtree.Rd |only bifurcatingr-2.0.0/bifurcatingr/man/bfa.tree.gen.Rd |only bifurcatingr-2.0.0/bifurcatingr/man/bfa.tree.plot.Rd |only bifurcatingr-2.0.0/bifurcatingr/man/boot.bca.ci.Rd |only bifurcatingr-2.1.0/bifurcatingr/DESCRIPTION | 6 bifurcatingr-2.1.0/bifurcatingr/MD5 | 82 ++--- bifurcatingr-2.1.0/bifurcatingr/NAMESPACE | 32 +- bifurcatingr-2.1.0/bifurcatingr/NEWS.md | 4 bifurcatingr-2.1.0/bifurcatingr/R/bfa_boot1_ls.R |only bifurcatingr-2.1.0/bifurcatingr/R/bfa_boot2_ls.R |only bifurcatingr-2.1.0/bifurcatingr/R/bfa_boot2fast_ls.R |only bifurcatingr-2.1.0/bifurcatingr/R/bfa_boot_ci.R |only bifurcatingr-2.1.0/bifurcatingr/R/bfa_boot_ls_bc.R |only bifurcatingr-2.1.0/bifurcatingr/R/bfa_lbc_ls.R |only bifurcatingr-2.1.0/bifurcatingr/R/bfa_ls.R |only bifurcatingr-2.1.0/bifurcatingr/R/bfa_ls_bc.R |only bifurcatingr-2.1.0/bifurcatingr/R/bfa_ls_bc_ci.R |only bifurcatingr-2.1.0/bifurcatingr/R/bfa_perc_bc_ci.R |only bifurcatingr-2.1.0/bifurcatingr/R/bfa_perc_ci.R |only bifurcatingr-2.1.0/bifurcatingr/R/bfa_scatterplot.R |only bifurcatingr-2.1.0/bifurcatingr/R/bfa_subtree.R |only bifurcatingr-2.1.0/bifurcatingr/R/bfa_tree_gen.R |only bifurcatingr-2.1.0/bifurcatingr/R/bfa_tree_plot.R |only bifurcatingr-2.1.0/bifurcatingr/R/boot_bca_ci.R |only bifurcatingr-2.1.0/bifurcatingr/R/rmnorm.R | 2 bifurcatingr-2.1.0/bifurcatingr/README.md | 49 +-- bifurcatingr-2.1.0/bifurcatingr/inst/doc/bifurcatingr.R | 37 ++ bifurcatingr-2.1.0/bifurcatingr/inst/doc/bifurcatingr.Rmd | 86 ++++++ bifurcatingr-2.1.0/bifurcatingr/inst/doc/bifurcatingr.html | 178 ++++++++++++- bifurcatingr-2.1.0/bifurcatingr/man/bfa_boot1_ls.Rd |only bifurcatingr-2.1.0/bifurcatingr/man/bfa_boot2_ls.Rd |only bifurcatingr-2.1.0/bifurcatingr/man/bfa_boot2fast_ls.Rd |only bifurcatingr-2.1.0/bifurcatingr/man/bfa_boot_ci.Rd |only bifurcatingr-2.1.0/bifurcatingr/man/bfa_boot_ls_bc.Rd |only bifurcatingr-2.1.0/bifurcatingr/man/bfa_lbc_ls.Rd |only bifurcatingr-2.1.0/bifurcatingr/man/bfa_ls.Rd |only bifurcatingr-2.1.0/bifurcatingr/man/bfa_ls_bc.Rd |only bifurcatingr-2.1.0/bifurcatingr/man/bfa_ls_bc_ci.Rd |only bifurcatingr-2.1.0/bifurcatingr/man/bfa_perc_bc_ci.Rd |only bifurcatingr-2.1.0/bifurcatingr/man/bfa_perc_ci.Rd |only bifurcatingr-2.1.0/bifurcatingr/man/bfa_scatterplot.Rd |only bifurcatingr-2.1.0/bifurcatingr/man/bfa_subtree.Rd |only bifurcatingr-2.1.0/bifurcatingr/man/bfa_tree_gen.Rd |only bifurcatingr-2.1.0/bifurcatingr/man/bfa_tree_plot.Rd |only bifurcatingr-2.1.0/bifurcatingr/man/boot_bca_ci.Rd |only bifurcatingr-2.1.0/bifurcatingr/vignettes/bifurcatingr.Rmd | 86 ++++++ 74 files changed, 469 insertions(+), 93 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-07-16 0.0.1.0
2020-06-26 0.0.0.1
Title: Collect and Retrieve Annotation Data for Various Genomic Data
Using Different Webservices
Description: Cross-species identification of novel gene candidates using the NCBI web service is provided. Further, sets of miRNA target genes can be identified by using the targetscan.org API.
Author: Daniel Fischer [aut, cre],
Anu Sironen [aut]
Maintainer: Daniel Fischer <daniel.fischer@luke.fi>
Diff between hoardeR versions 0.9.4-2 dated 2019-02-12 and 0.10 dated 2024-04-08
DESCRIPTION | 8 ++++---- MD5 | 23 ++++++++++++----------- NAMESPACE | 1 + R/blastSeq.R | 2 +- R/plotCoverage.R | 3 ++- R/targetScan.R | 9 +++++++++ README.md |only build/vignette.rds |binary inst/ChangeLog | 8 +++++++- inst/doc/hoardeR-vignette.R | 14 +++++++------- inst/doc/hoardeR-vignette.pdf |binary man/blastSeq.Rd | 2 +- man/hoardeR-package.Rd | 6 +++--- 13 files changed, 47 insertions(+), 29 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-09-16 0.3.7
2022-05-03 0.3.6
2022-03-30 0.3.5
2022-03-25 0.3.4
2021-10-29 0.3.3
Title: Stochastic Simulation of Streamflow Time Series using Phase
Randomization
Description: Provides a simulation framework to simulate streamflow time series with similar main characteristics as observed data. These characteristics include the distribution of daily streamflow values and their temporal correlation as expressed by short- and long-range dependence. The approach is based on the randomization of the phases of the Fourier transform or the phases of the wavelet transform. The function prsim() is applicable to single site simulation and uses the Fourier transform. The function prsim.wave() extends the approach to multiple sites and is based on the complex wavelet transform. The function prsim.weather() extends the approach to multiple variables for weather generation. We further use the flexible four-parameter Kappa distribution, which allows for the extrapolation to yet unobserved low and high flows. Alternatively, the empirical or any other distribution can be used.
A detailed description of the simulation approach for single sites and an application example can b [...truncated...]
Author: Manuela Brunner [aut, cre] ,
Reinhard Furrer [aut] ,
R Core Teamn [ctb, cph]
Maintainer: Manuela Brunner <manuela.brunner@env.ethz.ch>
Diff between PRSim versions 1.4-4 dated 2023-09-19 and 1.5 dated 2024-04-08
DESCRIPTION | 9 +++++---- MD5 | 11 ++++++----- R/fun_stoch_sim_wave_nonstat.R | 23 ++++++++++++----------- build/partial.rdb |binary man/fun_stoch_sim_wave_nonstat.Rd |only tests/Examples/PRSim-Ex.Rout.save | 2 +- tests/basic.Rout.save | 2 +- 7 files changed, 25 insertions(+), 22 deletions(-)
Title: Rapid Manipulation of the Variant Call Format (VCF)
Description: The 'vcfpp.h' (<https://github.com/Zilong-Li/vcfpp>) provides an easy-to-use 'C++' 'API' of 'htslib', offering full functionality for manipulating Variant Call Format (VCF) files. The 'vcfppR' package serves as the R bindings of the 'vcfpp.h' library, enabling rapid processing of both compressed and uncompressed VCF files. Explore a range of powerful features for efficient VCF data manipulation.
Author: Zilong Li [aut, cre] ,
Bonfield, James K and Marshall, John and Danecek, Petr and Li, Heng and
Ohan, Valeriu and Whitwham, Andrew and Keane, Thomas and Davies,
Robert M [cph]
Maintainer: Zilong Li <zilong.dk@gmail.com>
Diff between vcfppR versions 0.4.3 dated 2024-03-27 and 0.4.5 dated 2024-04-08
DESCRIPTION | 6 MD5 | 10 - R/vcf-compare.R | 6 src/vcf-reader.cpp | 25 +-- src/vcfpp.h | 323 +++++++++++++++++++++------------------ tests/testthat/test-modify-vcf.R | 2 6 files changed, 211 insertions(+), 161 deletions(-)
Title: NEON Data Store
Description: The National Ecological Observatory Network (NEON) provides access
to its numerous data products through its REST API,
<https://data.neonscience.org/data-api/>. This package provides a
high-level user interface for downloading and storing NEON data products.
Unlike 'neonUtilities', this package will avoid repeated downloading,
provides persistent storage, and improves performance. 'neonstore' can also
construct a local 'duckdb' database of stacked tables, making it possible
to work with tables that are far to big to fit into memory.
Author: Carl Boettiger [aut, cre] ,
Quinn Thomas [aut] ,
Christine Laney [aut] ,
Claire Lunch [aut] ,
Noam Ross [ctb]
Maintainer: Carl Boettiger <cboettig@gmail.com>
Diff between neonstore versions 0.5.0 dated 2024-01-08 and 0.5.1 dated 2024-04-08
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- NEWS.md | 4 ++++ inst/WORDLIST | 3 ++- tests/testthat/test-db.R | 4 +++- tests/testthat/test-eddy.R | 4 ++-- 6 files changed, 19 insertions(+), 12 deletions(-)
Title: DSM and LiDAR downloader
Description: A collection of functions to search and donwload
DSM (Digital Surface Model) and LiDAR (Light Detection and Ranging) data via APIs,
including 'OpenTopography' <https://portal.opentopography.org/apidocs/> and
'TNMAccess' <https://apps.nationalmap.gov/tnmaccess/#/>.
Author: Xiaohao Yang [aut, cre, cph],
Nathan Fox [aut],
Derek Van Berkel [aut],
Mark Lindquist [aut]
Maintainer: Xiaohao Yang <xiaohaoy@umich.edu>
Diff between dsmSearch versions 1.0.0 dated 2024-02-08 and 1.0.1 dated 2024-04-08
DESCRIPTION | 6 +++--- MD5 | 6 +++--- R/get_lidar.R | 7 ++++++- R/lidar_search.R | 7 ++++++- 4 files changed, 18 insertions(+), 8 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-03-04 3.9.1
2024-03-01 3.9.0
2024-01-26 3.8.0
2023-06-08 3.7.7
2023-05-31 3.7.6
2023-05-19 3.7.5
Title: 'Phosphor' Icons for R
Description: Use 'Phosphor' icons in 'shiny' applications or 'rmarkdown' documents. Icons are available in
5 different weights and can be customized by setting color, size, orientation and more.
Author: Victor Perrier [aut, cre, cph],
Fanny Meyer [aut],
Phosphor Icons [cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>
Diff between phosphoricons versions 0.2.0 dated 2023-05-17 and 0.2.1 dated 2024-04-08
phosphoricons-0.2.0/phosphoricons/inst/assets/css/Phosphor-Duotone.woff |only phosphoricons-0.2.0/phosphoricons/inst/assets/css/Phosphor-Duotone.woff2 |only phosphoricons-0.2.1/phosphoricons/DESCRIPTION | 12 +- phosphoricons-0.2.1/phosphoricons/MD5 | 48 ++++------ phosphoricons-0.2.1/phosphoricons/NEWS.md | 6 + phosphoricons-0.2.1/phosphoricons/R/sysdata.rda |binary phosphoricons-0.2.1/phosphoricons/inst/assets/css/Phosphor-Bold.woff |binary phosphoricons-0.2.1/phosphoricons/inst/assets/css/Phosphor-Bold.woff2 |binary phosphoricons-0.2.1/phosphoricons/inst/assets/css/Phosphor-Fill.woff |binary phosphoricons-0.2.1/phosphoricons/inst/assets/css/Phosphor-Fill.woff2 |binary phosphoricons-0.2.1/phosphoricons/inst/assets/css/Phosphor-Light.woff |binary phosphoricons-0.2.1/phosphoricons/inst/assets/css/Phosphor-Light.woff2 |binary phosphoricons-0.2.1/phosphoricons/inst/assets/css/Phosphor-Thin.woff |binary phosphoricons-0.2.1/phosphoricons/inst/assets/css/Phosphor-Thin.woff2 |binary phosphoricons-0.2.1/phosphoricons/inst/assets/css/Phosphor.woff |binary phosphoricons-0.2.1/phosphoricons/inst/assets/css/Phosphor.woff2 |binary phosphoricons-0.2.1/phosphoricons/inst/assets/css/icons.min.css | 2 phosphoricons-0.2.1/phosphoricons/inst/assets/css/size.scss | 47 +++------ phosphoricons-0.2.1/phosphoricons/man/figures/icon-fill-perc-1.svg | 6 - phosphoricons-0.2.1/phosphoricons/man/figures/icon-fill-perc-2.svg | 6 - phosphoricons-0.2.1/phosphoricons/man/figures/lightning-bold-gold.svg | 2 phosphoricons-0.2.1/phosphoricons/man/figures/lightning-bold.svg | 2 phosphoricons-0.2.1/phosphoricons/man/figures/lightning-fill.svg | 2 phosphoricons-0.2.1/phosphoricons/man/figures/lightning-light.svg | 2 phosphoricons-0.2.1/phosphoricons/man/figures/lightning-regular.svg | 2 phosphoricons-0.2.1/phosphoricons/man/figures/lightning-thin.svg | 2 26 files changed, 65 insertions(+), 74 deletions(-)