Title: Tensors and Neural Networks with 'GPU' Acceleration
Description: Provides functionality to define and train neural networks similar to
'PyTorch' by Paszke et al (2019) <arXiv:1912.01703> but written entirely in R
using the 'libtorch' library. Also supports low-level tensor operations and
'GPU' acceleration.
Author: Daniel Falbel [aut, cre, cph],
Javier Luraschi [aut],
Dmitriy Selivanov [ctb],
Athos Damiani [ctb],
Christophe Regouby [ctb],
Krzysztof Joachimiak [ctb],
Hamada S. Badr [ctb],
RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>
Diff between torch versions 0.7.1 dated 2022-02-25 and 0.8.0 dated 2022-06-09
torch-0.7.1/torch/tests/testthat/test-dim-error-messages.R |only torch-0.7.1/torch/tools/torchgen/inst/declaration/Declarations-1.10.2.yaml |only torch-0.8.0/torch/DESCRIPTION | 15 torch-0.8.0/torch/MD5 | 233 torch-0.8.0/torch/NAMESPACE | 14 torch-0.8.0/torch/NEWS.md | 45 torch-0.8.0/torch/R/RcppExports.R | 864 +- torch-0.8.0/torch/R/autograd.R | 29 torch-0.8.0/torch/R/cuda.R | 8 torch-0.8.0/torch/R/dtype.R | 15 torch-0.8.0/torch/R/gen-method.R | 231 torch-0.8.0/torch/R/gen-namespace-docs.R | 40 torch-0.8.0/torch/R/gen-namespace.R | 2349 ++++--- torch-0.8.0/torch/R/install.R | 70 torch-0.8.0/torch/R/lantern_sync.R | 8 torch-0.8.0/torch/R/linalg.R | 36 torch-0.8.0/torch/R/nn-activation.R | 115 torch-0.8.0/torch/R/nn-loss.R | 68 torch-0.8.0/torch/R/nn-sparse.R | 130 torch-0.8.0/torch/R/nn.R | 60 torch-0.8.0/torch/R/nnf-activation.R | 22 torch-0.8.0/torch/R/nnf-embedding.R | 11 torch-0.8.0/torch/R/operators.R | 5 torch-0.8.0/torch/R/optim-adam.R | 2 torch-0.8.0/torch/R/optim-lr_scheduler.R | 164 torch-0.8.0/torch/R/optim.R | 7 torch-0.8.0/torch/R/save.R | 61 torch-0.8.0/torch/R/tensor.R | 38 torch-0.8.0/torch/R/translate.R |only torch-0.8.0/torch/R/utils-data-dataloader.R | 205 torch-0.8.0/torch/R/utils-data-sampler.R | 175 torch-0.8.0/torch/R/utils-data.R | 2 torch-0.8.0/torch/R/utils.R | 7 torch-0.8.0/torch/build/partial.rdb |binary torch-0.8.0/torch/inst/build-version | 2 torch-0.8.0/torch/inst/doc/distributions.html | 19 torch-0.8.0/torch/inst/doc/extending-autograd.html | 45 torch-0.8.0/torch/inst/doc/indexing.html | 70 torch-0.8.0/torch/inst/doc/installation.Rmd | 11 torch-0.8.0/torch/inst/doc/installation.html | 81 torch-0.8.0/torch/inst/doc/loading-data.html | 129 torch-0.8.0/torch/inst/doc/python-to-r.Rmd | 2 torch-0.8.0/torch/inst/doc/python-to-r.html | 13 torch-0.8.0/torch/inst/doc/serialization.html | 46 torch-0.8.0/torch/inst/doc/tensor-creation.html | 78 torch-0.8.0/torch/inst/doc/torchscript.html | 103 torch-0.8.0/torch/inst/doc/using-autograd.html | 65 torch-0.8.0/torch/inst/include/lantern/lantern.h | 708 +- torch-0.8.0/torch/inst/include/torch_deleters.h | 2 torch-0.8.0/torch/inst/include/torch_imports.h | 8 torch-0.8.0/torch/inst/include/torch_types.h | 2 torch-0.8.0/torch/inst/include/utils.h | 11 torch-0.8.0/torch/man/dataloader.Rd | 9 torch-0.8.0/torch/man/get_install_libs_url.Rd | 2 torch-0.8.0/torch/man/install_torch.Rd | 2 torch-0.8.0/torch/man/install_torch_from_file.Rd | 2 torch-0.8.0/torch/man/linalg_matrix_rank.Rd | 15 torch-0.8.0/torch/man/linalg_pinv.Rd | 9 torch-0.8.0/torch/man/lr_reduce_on_plateau.Rd |only torch-0.8.0/torch/man/nn_bce_loss.Rd | 4 torch-0.8.0/torch/man/nn_bce_with_logits_loss.Rd | 4 torch-0.8.0/torch/man/nn_cosine_embedding_loss.Rd | 4 torch-0.8.0/torch/man/nn_cross_entropy_loss.Rd | 4 torch-0.8.0/torch/man/nn_embedding_bag.Rd |only torch-0.8.0/torch/man/nn_hinge_embedding_loss.Rd | 4 torch-0.8.0/torch/man/nn_l1_loss.Rd | 4 torch-0.8.0/torch/man/nn_margin_ranking_loss.Rd | 4 torch-0.8.0/torch/man/nn_mse_loss.Rd | 4 torch-0.8.0/torch/man/nn_multi_margin_loss.Rd | 4 torch-0.8.0/torch/man/nn_multihead_attention.Rd | 74 torch-0.8.0/torch/man/nn_multilabel_margin_loss.Rd | 4 torch-0.8.0/torch/man/nn_multilabel_soft_margin_loss.Rd | 4 torch-0.8.0/torch/man/nn_nll_loss.Rd | 5 torch-0.8.0/torch/man/nn_poisson_nll_loss.Rd | 4 torch-0.8.0/torch/man/nn_prune_head.Rd |only torch-0.8.0/torch/man/nn_smooth_l1_loss.Rd | 4 torch-0.8.0/torch/man/nn_soft_margin_loss.Rd | 4 torch-0.8.0/torch/man/nn_threshold.Rd | 2 torch-0.8.0/torch/man/nn_triplet_margin_loss.Rd | 4 torch-0.8.0/torch/man/nnf_embedding_bag.Rd | 6 torch-0.8.0/torch/man/nnf_multi_head_attention_forward.Rd | 12 torch-0.8.0/torch/man/sampler.Rd |only torch-0.8.0/torch/man/torch_dtype.Rd | 12 torch-0.8.0/torch/man/torch_kron.Rd |only torch-0.8.0/torch/man/torch_lu_unpack.Rd |only torch-0.8.0/torch/man/torch_nanquantile.Rd | 8 torch-0.8.0/torch/man/torch_quantile.Rd | 2 torch-0.8.0/torch/man/torch_round.Rd | 6 torch-0.8.0/torch/man/torch_save.Rd | 6 torch-0.8.0/torch/man/torch_searchsorted.Rd | 17 torch-0.8.0/torch/man/with_detect_anomaly.Rd | 2 torch-0.8.0/torch/src/RcppExports.cpp | 3228 +++++----- torch-0.8.0/torch/src/cuda.cpp | 2 torch-0.8.0/torch/src/dtype.cpp | 10 torch-0.8.0/torch/src/gen-namespace.cpp | 1196 ++- torch-0.8.0/torch/src/save.cpp | 34 torch-0.8.0/torch/src/tensor.cpp | 31 torch-0.8.0/torch/src/torch_api.cpp | 13 torch-0.8.0/torch/src/translate_messages.h | 148 torch-0.8.0/torch/tests/testthat/_snaps/tensor.md | 27 torch-0.8.0/torch/tests/testthat/test-autograd.R | 9 torch-0.8.0/torch/tests/testthat/test-gen-namespace.R | 21 torch-0.8.0/torch/tests/testthat/test-indexing.R | 12 torch-0.8.0/torch/tests/testthat/test-linalg.R | 21 torch-0.8.0/torch/tests/testthat/test-nn-activation.R | 31 torch-0.8.0/torch/tests/testthat/test-nn-loss.R | 10 torch-0.8.0/torch/tests/testthat/test-nn-sparse.R | 55 torch-0.8.0/torch/tests/testthat/test-nn.R | 66 torch-0.8.0/torch/tests/testthat/test-nnf-embedding.R | 11 torch-0.8.0/torch/tests/testthat/test-optim-adam.R | 36 torch-0.8.0/torch/tests/testthat/test-optim-lr_scheduler.R | 62 torch-0.8.0/torch/tests/testthat/test-optim-sgd.R | 17 torch-0.8.0/torch/tests/testthat/test-tensor.R | 68 torch-0.8.0/torch/tests/testthat/test-translate.R |only torch-0.8.0/torch/tests/testthat/test-utils-data-dataloader.R | 2 torch-0.8.0/torch/tests/testthat/test-utils-data-sampler.R | 24 torch-0.8.0/torch/tests/testthat/tracedmodule.pt |binary torch-0.8.0/torch/tools/document.R | 2 torch-0.8.0/torch/tools/torchgen/R/r.R | 3 torch-0.8.0/torch/tools/torchgen/R/utils.R | 2 torch-0.8.0/torch/tools/torchgen/inst/declaration/Declarations-1.11.0.yaml |only torch-0.8.0/torch/vignettes/installation.Rmd | 11 torch-0.8.0/torch/vignettes/python-to-r.Rmd | 2 123 files changed, 7670 insertions(+), 4159 deletions(-)
Title: Analyze Dependency Heaviness of R Packages
Description: A new metric named 'dependency heaviness' is proposed that measures the number
of additional dependency packages that a parent package brings to its child package
and are unique to the dependency packages imported by all other parents.
The dependency heaviness analysis is visualized by a customized heatmap.
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <z.gu@dkfz.de>
Diff between pkgndep versions 1.1.3 dated 2022-03-28 and 1.1.4 dated 2022-06-09
DESCRIPTION | 16 +-- LICENSE | 2 MD5 | 67 +++++++-------- NAMESPACE | 3 NEWS | 9 +- R/db.R | 9 +- R/global.R | 39 +++++++- R/load_data.R | 14 +-- R/pkgndep.R | 1 R/plot.R | 22 +++-- R/report.R | 8 - R/website.R | 2 R/zzz.R | 15 +++ build/vignette.rds |binary inst/doc/co_heaviness.R | 2 inst/doc/co_heaviness.Rmd | 2 inst/doc/co_heaviness.html | 7 - inst/doc/pkgndep.R | 7 + inst/doc/pkgndep.Rmd | 10 ++ inst/doc/pkgndep.html | 123 ++++++++++++++-------------- inst/doc/suggestions.Rmd | 40 +++++++++ inst/doc/suggestions.html | 16 +++ inst/extdata/analysis.R | 21 ++-- inst/extdata/install_all_r_pkgs.R | 15 ++- inst/website/app.R | 9 -- inst/website/lib.R | 6 - inst/website/template/dependency_table.html | 6 - inst/website/template/package.html | 2 man/all_pkg_stat_snapshot.Rd | 1 man/gini_index.Rd | 2 man/pkgndep_opt.Rd |only tests |only vignettes/co_heaviness.Rmd | 2 vignettes/pkgndep.Rmd | 10 ++ vignettes/suggestions.Rmd | 40 +++++++++ 35 files changed, 356 insertions(+), 172 deletions(-)
Title: Tools for Parsing and Generating XML Within R and S-Plus
Description: Many approaches for both reading and
creating XML (and HTML) documents (including DTDs), both local
and accessible via HTTP or FTP. Also offers access to an
'XPath' "interpreter".
Author: CRAN Team [ctb, cre] ,
Duncan Temple Lang [aut] ,
Tomas Kalibera [ctb]
Maintainer: CRAN Team <CRAN@r-project.org>
Diff between XML versions 3.99-0.9 dated 2022-02-24 and 3.99-0.10 dated 2022-06-09
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- R/parser.R | 10 ++++++---- man/getLineNumber.Rd | 2 +- man/xmlElementsByTagName.Rd | 2 +- man/xmlTreeParse.Rd | 14 +++++++------- 6 files changed, 23 insertions(+), 21 deletions(-)
Title: Non-Parametric Cluster Significance Testing with Reference to a
Unimodal Null Distribution
Description: Assess the significance of identified clusters and estimates the true number of clusters by comparing the explained variation due to the clustering from the original data to that produced by clustering a unimodal reference distribution which preserves the covariance structure in the data. The reference distribution is generated using kernel density estimation and a Gaussian copula framework. A dimension reduction strategy and sparse covariance estimation optimize this method for the high-dimensional, low-sample size setting. This method is described in Helgeson, Vock, and Bair (2021) <doi:10.1111/biom.13376>.
Author: Erika S. Helgeson, David Vock, and Eric Bair
Maintainer: Erika S. Helgeson <helge@umn.edu>
Diff between UNPaC versions 1.1.0 dated 2020-04-13 and 1.1.1 dated 2022-06-09
DESCRIPTION | 15 ++++++++------- MD5 | 18 +++++++++--------- NAMESPACE | 10 ++++------ R/UNPaC_Copula.R | 10 +++++----- R/UNPaC_null.R | 20 ++++++++++---------- R/UNPaC_num_clust.R | 14 ++++++-------- R/find_h1.R | 2 +- R/var_selection.R | 2 +- man/UNPaC_Copula.Rd | 25 ++++++++++++++++++------- man/UNPaC_num_clust.Rd | 25 +++++++++++++++++-------- 10 files changed, 79 insertions(+), 62 deletions(-)
Title: Sorted L1 Penalized Estimation
Description: Efficient implementations for Sorted L-One Penalized Estimation
(SLOPE): generalized linear models regularized with the sorted L1-norm
(Bogdan et al. (2015) <doi:10/gfgwzt>). Supported models include ordinary
least-squares regression, binomial regression, multinomial regression, and
Poisson regression. Both dense and sparse predictor matrices are supported.
In addition, the package features predictor screening rules that enable fast
and efficient solutions to high-dimensional problems.
Author: Johan Larsson [aut, cre] ,
Jonas Wallin [aut] ,
Malgorzata Bogdan [aut],
Ewout van den Berg [aut],
Chiara Sabatti [aut],
Emmanuel Candes [aut],
Evan Patterson [aut],
Weijie Su [aut],
Jakub Kala [aut],
Krystyna Grzesiak [aut],
Michal Burdukiewicz [aut [...truncated...]
Maintainer: Johan Larsson <johan.larsson@stat.lu.se>
Diff between SLOPE versions 0.4.1 dated 2022-03-14 and 0.5.0 dated 2022-06-09
SLOPE-0.4.1/SLOPE/tests/testthat/test-caret-training.R |only SLOPE-0.5.0/SLOPE/DESCRIPTION | 34 - SLOPE-0.5.0/SLOPE/MD5 | 113 +-- SLOPE-0.5.0/SLOPE/NEWS.md | 12 SLOPE-0.5.0/SLOPE/R/SLOPE-package.R | 1 SLOPE-0.5.0/SLOPE/R/SLOPE.R | 10 SLOPE-0.5.0/SLOPE/R/caretSLOPE.R | 4 SLOPE-0.5.0/SLOPE/R/coef.R | 4 SLOPE-0.5.0/SLOPE/R/data.R | 1 SLOPE-0.5.0/SLOPE/R/estimateNoise.R | 2 SLOPE-0.5.0/SLOPE/R/interpolateCoefficients.R | 15 SLOPE-0.5.0/SLOPE/R/interpolatePenalty.R | 18 SLOPE-0.5.0/SLOPE/R/plot.R | 360 ++++------- SLOPE-0.5.0/SLOPE/R/plotDiagnostics.R | 85 +- SLOPE-0.5.0/SLOPE/R/preProcessResponse.R | 103 +-- SLOPE-0.5.0/SLOPE/R/predict.R | 56 - SLOPE-0.5.0/SLOPE/R/print.R | 20 SLOPE-0.5.0/SLOPE/R/score.R | 57 - SLOPE-0.5.0/SLOPE/R/setupDiagnostics.R | 13 SLOPE-0.5.0/SLOPE/R/sortedL1Prox.R | 8 SLOPE-0.5.0/SLOPE/R/utils.R | 105 +-- SLOPE-0.5.0/SLOPE/build/partial.rdb |binary SLOPE-0.5.0/SLOPE/build/vignette.rds |binary SLOPE-0.5.0/SLOPE/inst/WORDLIST | 2 SLOPE-0.5.0/SLOPE/inst/doc/introduction.html | 8 SLOPE-0.5.0/SLOPE/inst/doc/prox-algs.html | 6 SLOPE-0.5.0/SLOPE/man/SLOPE-package.Rd | 5 SLOPE-0.5.0/SLOPE/man/caretSLOPE.Rd | 2 SLOPE-0.5.0/SLOPE/man/plot.SLOPE.Rd | 7 SLOPE-0.5.0/SLOPE/man/plot.TrainedSLOPE.Rd | 21 SLOPE-0.5.0/SLOPE/man/plotDiagnostics.Rd | 12 SLOPE-0.5.0/SLOPE/man/predict.SLOPE.Rd | 1 SLOPE-0.5.0/SLOPE/man/print.SLOPE.Rd | 1 SLOPE-0.5.0/SLOPE/tests/figs |only SLOPE-0.5.0/SLOPE/tests/spelling.R | 9 SLOPE-0.5.0/SLOPE/tests/testthat/_snaps |only SLOPE-0.5.0/SLOPE/tests/testthat/test-alpha-scaling.R | 36 - SLOPE-0.5.0/SLOPE/tests/testthat/test-assertions.R | 41 + SLOPE-0.5.0/SLOPE/tests/testthat/test-binomial.R | 22 SLOPE-0.5.0/SLOPE/tests/testthat/test-deviance.R |only SLOPE-0.5.0/SLOPE/tests/testthat/test-diagnostics.R | 11 SLOPE-0.5.0/SLOPE/tests/testthat/test-gaussian.R | 21 SLOPE-0.5.0/SLOPE/tests/testthat/test-lasso.R | 14 SLOPE-0.5.0/SLOPE/tests/testthat/test-multinomial.R | 31 SLOPE-0.5.0/SLOPE/tests/testthat/test-path-behavior.R | 15 SLOPE-0.5.0/SLOPE/tests/testthat/test-plotting.R | 48 + SLOPE-0.5.0/SLOPE/tests/testthat/test-poisson.R | 41 - SLOPE-0.5.0/SLOPE/tests/testthat/test-predictions.R | 4 SLOPE-0.5.0/SLOPE/tests/testthat/test-printing.R | 12 SLOPE-0.5.0/SLOPE/tests/testthat/test-prox.R | 5 SLOPE-0.5.0/SLOPE/tests/testthat/test-screening-algorithms.R | 17 SLOPE-0.5.0/SLOPE/tests/testthat/test-screening-rules.R | 4 SLOPE-0.5.0/SLOPE/tests/testthat/test-solvers.R | 16 SLOPE-0.5.0/SLOPE/tests/testthat/test-training.R | 18 54 files changed, 795 insertions(+), 656 deletions(-)
Title: Identifies Mean, Variance, and Hierarchically Clustered
Biclusters
Description: Identifies a bicluster, a submatrix of the data such that the features and observations within the submatrix differ from those not contained in submatrix, using a two-step method. In the first step, observations in the bicluster are identified to maximize the sum of weighted between cluster feature differences. The method is described in Helgeson et al. (2020) <doi:10.1111/biom.13136>. 'SCBiclust' can be used to identify biclusters which differ based on feature means, feature variances, or more general differences.
Author: Erika S. Helgeson, Qian Liu, Guanhua Chen, Michael R. Kosorok , and Eric Bair
Maintainer: Erika S. Helgeson <helge@umn.edu>
Diff between SCBiclust versions 1.0.0 dated 2019-04-02 and 1.0.1 dated 2022-06-09
DESCRIPTION | 13 +-- MD5 | 24 +++---- NAMESPACE | 15 ++-- R/SC-Biclust-SigClust-stop.R | 4 - R/SC-Biclust-SigClust.R | 18 ++--- R/SC-HBiclust-SigClust.R | 4 - R/SC-Var-Biclust.R | 32 ++++----- R/SCBiclust_beta_ks.R | 10 +- man/PermBiclust.beta.ks.Rd | 109 ++++++++++++++++---------------- man/PermBiclust.sigclust.Rd | 112 +++++++++++++++++---------------- man/PermBiclust.sigclust_stop.Rd | 119 ++++++++++++++++++----------------- man/PermHclust.sigclust.Rd | 132 ++++++++++++++++++++------------------- man/VarPermBiclust.chisqdiff.Rd | 120 ++++++++++++++++++----------------- 13 files changed, 369 insertions(+), 343 deletions(-)
Title: Tools for Working with Posterior Distributions
Description: Provides useful tools for both users and developers of packages
for fitting Bayesian models or working with output from Bayesian models.
The primary goals of the package are to:
(a) Efficiently convert between many different useful formats of
draws (samples) from posterior or prior distributions.
(b) Provide consistent methods for operations commonly performed on draws,
for example, subsetting, binding, or mutating draws.
(c) Provide various summaries of draws in convenient formats.
(d) Provide lightweight implementations of state of the art posterior
inference diagnostics. References: Vehtari et al. (2021)
<doi:10.1214/20-BA1221>.
Author: Paul-Christian Buerkner [aut, cre],
Jonah Gabry [aut],
Matthew Kay [aut],
Aki Vehtari [aut],
Måns Magnusson [ctb],
Rok Česnovar [ctb],
Ben Lambert [ctb],
Ozan Adıguezel [ctb],
Jacob Socolar [ctb]
Maintainer: Paul-Christian Buerkner <paul.buerkner@gmail.com>
Diff between posterior versions 1.2.1 dated 2022-03-07 and 1.2.2 dated 2022-06-09
DESCRIPTION | 8 MD5 | 16 - NEWS.md | 7 R/convergence.R | 30 +- inst/doc/posterior.html | 574 ++++++++++++++++++++++++++++++++++-------- inst/doc/rvar.html | 591 +++++++++++++++++++++++++++++++++++++------- man/ess_sd.Rd | 5 man/mcse_sd.Rd | 6 tests/testthat/test-print.R | 10 9 files changed, 1011 insertions(+), 236 deletions(-)
Title: A Metabolomics Analysis Tool for Intuitive Figures and
Convenient Metadata Collection
Description: Facilitates the creation of intuitive figures to describe metabolomics data by utilizing Kyoto Encyclopedia of Genes and Genomes (KEGG) hierarchy data, and gathers functional orthology and gene data from the KEGG-REST API.
Author: Connor Tiffany [aut, cre]
Maintainer: Connor Tiffany <crtiffany@ucdavis.edu>
Diff between omu versions 1.0.5 dated 2022-05-24 and 1.0.6 dated 2022-06-09
DESCRIPTION | 6 +++--- MD5 | 18 +++++++++--------- R/Internal_Functions.R | 2 +- R/PCA_plot.R | 2 +- R/get_seqs.R | 2 +- R/omu_anova.R | 2 +- R/omu_summary.R | 2 +- R/plot_boxplot.R | 2 +- R/plot_heatmap.R | 2 +- R/random_forest.R | 2 +- 10 files changed, 20 insertions(+), 20 deletions(-)
Title: A Collection of Functions for Negligible Effect/Equivalence
Testing
Description: Researchers often want to evaluate whether there is a negligible
relationship among variables. The 'negligible' package provides functions that
are useful for conducting negligible effect testing (also called
equivalence testing). For example, there are functions for evaluating the
equivalence of means or the presence of a negligible association (correlation/
regression). Beribisky, N., Mara, C., & Cribbie, R. A. (2020) <doi:10.20982/tqmp.16.4.p424>.
Beribisky, N., Davidson, H., Cribbie, R. A. (2019) <doi:10.7717/peerj.6853>.
Shiskina, T., Farmus, L., & Cribbie, R. A. (2018) <doi:10.20982/tqmp.14.3.p167>.
Mara, C. & Cribbie, R. A. (2017) <doi:10.1080/00220973.2017.1301356>.
Counsell, A. & Cribbie, R. A. (2015) <doi:10.1111/bmsp.12045>.
van Wieringen, K. & Cribbie, R. A. (2014) <doi:10.1111/bmsp.12015>.
Goertzen, J. R. & Cribbie, R. A. (2010) <doi:10.1348/000711009x475853>.
Cribbie, R. A., Gruman, J. & Arpin-Cribbie, C. (2004) <doi:10.1002/jclp.10217>.
Author: Robert Cribbie [aut, cre],
Udi Alter [aut],
Nataly Beribisky [aut],
Phil Chalmers [aut],
Alyssa Counsell [aut],
Linda Farmus [aut],
Naomi Martinez Gutierrez [aut],
Victoria Ng [ctb]
Maintainer: Robert Cribbie <cribbie@yorku.ca>
Diff between negligible versions 0.1.0 dated 2022-03-14 and 0.1.1 dated 2022-06-09
DESCRIPTION | 9 +-- MD5 | 34 ++++++------ NAMESPACE | 1 R/neg.cat.R | 44 +++++++++++---- R/neg.cor.R | 57 +++++++++++++------- R/neg.esm.R | 34 ++++++++++-- R/neg.indvars.R | 25 +++++++- R/neg.intcont.R |only R/neg.reg.R | 37 +++++++------ R/neg.twocors.R | 108 +++++++++++++++++++++++++++++++------- R/neg.twoindmeans.R | 137 ++++++++++++++++++++++++++++++++----------------- man/neg.cat.Rd | 36 +++++++++++- man/neg.cor.Rd | 33 +++++++++-- man/neg.esm.Rd | 31 ++++++++++- man/neg.indvars.Rd | 22 +++++++ man/neg.intcont.Rd |only man/neg.reg.Rd | 26 +++++---- man/neg.twocors.Rd | 74 +++++++++++++++++++++----- man/neg.twoindmeans.Rd | 58 +++++++++++++++++--- 19 files changed, 571 insertions(+), 195 deletions(-)
Title: Umbrella Review Package for R
Description: A comprehensive range of facilities to perform umbrella reviews with stratification of the evidence in R. The package accomplishes this aim by building on three core functions that: (i) automatically perform all required calculations in an umbrella review (including but not limited to meta-analyses), (ii) stratify evidence according to various classification criteria, and (iii) generate a visual representation of the results. Note that if you are not familiar with R, the core features of this package are available from a web browser (<https://www.metaumbrella.org/>).
Author: Corentin J Gosling [aut, cre],
Aleix Solanes [aut],
Paolo Fusar-Poli [aut],
Joaquim Radua [aut]
Maintainer: Corentin J Gosling <cgosling@parisnanterre.fr>
Diff between metaumbrella versions 1.0.3 dated 2022-05-06 and 1.0.4 dated 2022-06-09
metaumbrella-1.0.3/metaumbrella/inst/doc/forest_plot.R |only metaumbrella-1.0.3/metaumbrella/inst/doc/forest_plot.Rmd |only metaumbrella-1.0.3/metaumbrella/inst/doc/forest_plot.html |only metaumbrella-1.0.3/metaumbrella/inst/doc/stratification_evidence.R |only metaumbrella-1.0.3/metaumbrella/inst/doc/stratification_evidence.Rmd |only metaumbrella-1.0.3/metaumbrella/inst/doc/stratification_evidence.html |only metaumbrella-1.0.3/metaumbrella/inst/doc/train_well_formatted_dataset.R |only metaumbrella-1.0.3/metaumbrella/inst/doc/train_well_formatted_dataset.Rmd |only metaumbrella-1.0.3/metaumbrella/inst/doc/train_well_formatted_dataset.html |only metaumbrella-1.0.3/metaumbrella/vignettes/forest_plot.Rmd |only metaumbrella-1.0.3/metaumbrella/vignettes/stratification_evidence.Rmd |only metaumbrella-1.0.3/metaumbrella/vignettes/train_well_formatted_dataset.Rmd |only metaumbrella-1.0.4/metaumbrella/DESCRIPTION | 12 metaumbrella-1.0.4/metaumbrella/MD5 | 109 +-- metaumbrella-1.0.4/metaumbrella/NEWS.md | 9 metaumbrella-1.0.4/metaumbrella/R/add_evidence.R | 25 metaumbrella-1.0.4/metaumbrella/R/check_data.R | 92 +- metaumbrella-1.0.4/metaumbrella/R/data.R | 77 ++ metaumbrella-1.0.4/metaumbrella/R/esb_test.R | 226 +++---- metaumbrella-1.0.4/metaumbrella/R/estimate_r.R | 6 metaumbrella-1.0.4/metaumbrella/R/estimate_smd.R | 23 metaumbrella-1.0.4/metaumbrella/R/functions_evidence.R | 19 metaumbrella-1.0.4/metaumbrella/R/functions_forest_plot.R | 45 - metaumbrella-1.0.4/metaumbrella/R/functions_format_dataset.R | 79 -- metaumbrella-1.0.4/metaumbrella/R/functions_meta.R | 6 metaumbrella-1.0.4/metaumbrella/R/functions_multilevel.R | 26 metaumbrella-1.0.4/metaumbrella/R/functions_other.R | 55 - metaumbrella-1.0.4/metaumbrella/R/functions_summary.R | 107 +-- metaumbrella-1.0.4/metaumbrella/R/metaumbrella.R | 57 + metaumbrella-1.0.4/metaumbrella/R/subset.R | 10 metaumbrella-1.0.4/metaumbrella/R/umbrella.R | 176 ++--- metaumbrella-1.0.4/metaumbrella/README.md | 7 metaumbrella-1.0.4/metaumbrella/build/vignette.rds |binary metaumbrella-1.0.4/metaumbrella/data/df.R.rda |only metaumbrella-1.0.4/metaumbrella/data/df.SMC.rda |only metaumbrella-1.0.4/metaumbrella/inst/CITATION | 4 metaumbrella-1.0.4/metaumbrella/inst/WORDLIST | 2 metaumbrella-1.0.4/metaumbrella/inst/doc/calculations-details.Rmd |only metaumbrella-1.0.4/metaumbrella/inst/doc/calculations-details.html |only metaumbrella-1.0.4/metaumbrella/inst/doc/conduct-umbrella.R |only metaumbrella-1.0.4/metaumbrella/inst/doc/conduct-umbrella.Rmd |only metaumbrella-1.0.4/metaumbrella/inst/doc/conduct-umbrella.html |only metaumbrella-1.0.4/metaumbrella/inst/doc/format-dataset.R |only metaumbrella-1.0.4/metaumbrella/inst/doc/format-dataset.Rmd |only metaumbrella-1.0.4/metaumbrella/inst/doc/format-dataset.html |only metaumbrella-1.0.4/metaumbrella/inst/doc/generate-forest.R |only metaumbrella-1.0.4/metaumbrella/inst/doc/generate-forest.Rmd |only metaumbrella-1.0.4/metaumbrella/inst/doc/generate-forest.html |only metaumbrella-1.0.4/metaumbrella/man/add.evidence.Rd | 7 metaumbrella-1.0.4/metaumbrella/man/df.R.Rd |only metaumbrella-1.0.4/metaumbrella/man/df.SMC.Rd |only metaumbrella-1.0.4/metaumbrella/man/esb.test.Rd | 40 - metaumbrella-1.0.4/metaumbrella/man/forest.umbrella.Rd | 5 metaumbrella-1.0.4/metaumbrella/man/metaumbrella-package.Rd | 61 + metaumbrella-1.0.4/metaumbrella/man/subset.umbrella.Rd | 2 metaumbrella-1.0.4/metaumbrella/man/summary.umbrella.Rd | 4 metaumbrella-1.0.4/metaumbrella/man/umbrella.Rd | 53 - metaumbrella-1.0.4/metaumbrella/tests/testthat/test-add_evidence.R | 4 metaumbrella-1.0.4/metaumbrella/tests/testthat/test-check_data.R |only metaumbrella-1.0.4/metaumbrella/tests/testthat/test-esb_test.R | 204 ++++-- metaumbrella-1.0.4/metaumbrella/tests/testthat/test-estimate_smcc.R |only metaumbrella-1.0.4/metaumbrella/tests/testthat/test-estimate_z.R |only metaumbrella-1.0.4/metaumbrella/tests/testthat/test-functions_meta.R | 151 ++++ metaumbrella-1.0.4/metaumbrella/tests/testthat/test-functions_multilevel.R | 35 - metaumbrella-1.0.4/metaumbrella/tests/testthat/test-functions_other.R | 110 +++ metaumbrella-1.0.4/metaumbrella/tests/testthat/test-functions_power.R | 12 metaumbrella-1.0.4/metaumbrella/tests/testthat/test-functions_summary.R | 24 metaumbrella-1.0.4/metaumbrella/tests/testthat/test-umbrella.R | 321 ++++++++-- metaumbrella-1.0.4/metaumbrella/vignettes/calculations-details.Rmd |only metaumbrella-1.0.4/metaumbrella/vignettes/conduct-umbrella.Rmd |only metaumbrella-1.0.4/metaumbrella/vignettes/format-dataset.Rmd |only metaumbrella-1.0.4/metaumbrella/vignettes/generate-forest.Rmd |only metaumbrella-1.0.4/metaumbrella/vignettes/refs.bib |only 73 files changed, 1452 insertions(+), 753 deletions(-)
Title: High Mach Finds Routes for Supersonic Aircraft
Description: For supersonic aircraft, flying subsonic over land,
High Mach finds the best route between airports. Allows for coastal buffer and
potentially closed regions. Uses a minimal model of aircraft
performance: the focus is on time saved versus subsonic flight, rather
than on vertical flight profile. For modelling and forecasting, not for planning your
flight!
Author: David Marsh [aut, cre],
Enrico Spinielli [ctb],
EUROCONTROL [fnd, cph]
Maintainer: David Marsh <david6marsh@gmail.com>
Diff between himach versions 0.2.3 dated 2021-12-01 and 0.3.0 dated 2022-06-09
DESCRIPTION | 17 MD5 | 31 - NAMESPACE | 1 NEWS.md | 6 R/maps.R | 307 ++++++++++++---- R/routes.R | 2 R/utils.R | 6 inst/WORDLIST |only inst/doc/Supersonic_Routes.html | 425 +++++++++++++++++++--- inst/doc/Supersonic_Routes_in_depth.R | 26 + inst/doc/Supersonic_Routes_in_depth.Rmd | 38 +- inst/doc/Supersonic_Routes_in_depth.html | 579 ++++++++++++++++++++++++------- man/map_routes.Rd | 106 +++-- man/profile_routes.Rd |only tests/spelling.R |only tests/testthat/test_map.R | 44 ++ tests/testthat/test_utils.R | 4 vignettes/Supersonic_Routes_in_depth.Rmd | 38 +- 18 files changed, 1324 insertions(+), 306 deletions(-)
Title: 'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME
Models
Description: At Novartis, we aimed at standardizing the set of diagnostic plots used for modeling
activities in order to reduce the overall effort required for generating such plots.
For this, we developed a guidance that proposes an adequate set of diagnostics and a toolbox,
called 'ggPMX' to execute them. 'ggPMX' is a toolbox that can generate all diagnostic plots at a quality sufficient
for publication and submissions using few lines of code. This package focuses on plots recommended by ISoP
<doi:10.1002/psp4.12161>. While not required, you can get/install the 'R' 'lixoftConnectors'
package in the 'Monolix' installation, as described at the following url
<https://monolix.lixoft.com/monolix-api/lixoftconnectors_installation/>.
When 'lixoftConnectors' is available, 'R' can use 'Monolix' directly to create the required
Chart Data instead of exporting it from the 'Monolix' gui.
Author: Amine Gassem [aut],
Bruno Bieth [aut],
Irina Baltcheva [aut],
Thomas Dumortier [aut],
Christian Bartels [aut],
Souvik Bhattacharya [aut],
Inga Ludwig [aut],
Ines Paule [aut],
Didier Renard [aut],
Matthew Fidler [aut, cre] ,
Seid Hamzic [aut],
Benjami [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>
Diff between ggPMX versions 1.2.6 dated 2022-02-01 and 1.2.7 dated 2022-06-09
ggPMX-1.2.6/ggPMX/tests/testthat/_snaps |only ggPMX-1.2.7/ggPMX/DESCRIPTION | 18 ggPMX-1.2.7/ggPMX/MD5 | 174 - ggPMX-1.2.7/ggPMX/NAMESPACE | 10 ggPMX-1.2.7/ggPMX/NEWS.md |only ggPMX-1.2.7/ggPMX/R/classInt.R | 12 ggPMX-1.2.7/ggPMX/R/config.R | 3 ggPMX-1.2.7/ggPMX/R/ggPMX-package.R | 2 ggPMX-1.2.7/ggPMX/R/ggforce-facet-paginate.R | 3 ggPMX-1.2.7/ggPMX/R/nlmixr.R | 137 - ggPMX-1.2.7/ggPMX/R/nonmem_reader.R | 253 +- ggPMX-1.2.7/ggPMX/R/plot-density.R | 2 ggPMX-1.2.7/ggPMX/R/plot-eta-cov.R | 17 ggPMX-1.2.7/ggPMX/R/plot-eta-pairs.R | 28 ggPMX-1.2.7/ggPMX/R/plot-individual.R | 11 ggPMX-1.2.7/ggPMX/R/plot-residual.R | 2 ggPMX-1.2.7/ggPMX/R/plot-vpc.R | 128 - ggPMX-1.2.7/ggPMX/R/pmx-all-plots.R | 42 ggPMX-1.2.7/ggPMX/R/pmx-plots-density.R | 2 ggPMX-1.2.7/ggPMX/R/pmx-plots-distibution.R | 5 ggPMX-1.2.7/ggPMX/R/pmx-plots-eta-cov.R | 2 ggPMX-1.2.7/ggPMX/R/pmx-plots-individual.R | 45 ggPMX-1.2.7/ggPMX/R/pmx-plots-matrix.R | 8 ggPMX-1.2.7/ggPMX/R/pmx-plots-quantile.R | 31 ggPMX-1.2.7/ggPMX/R/pmx-plots-scatter.R | 121 - ggPMX-1.2.7/ggPMX/R/pmx-plots-vpc.R | 23 ggPMX-1.2.7/ggPMX/R/pmx-reader.R | 16 ggPMX-1.2.7/ggPMX/R/pmx-report.R | 18 ggPMX-1.2.7/ggPMX/R/pmxClass.R | 64 ggPMX-1.2.7/ggPMX/R/utils.R | 66 ggPMX-1.2.7/ggPMX/README.md | 1140 +++++----- ggPMX-1.2.7/ggPMX/build/vignette.rds |binary ggPMX-1.2.7/ggPMX/inst/doc/ggPMX-guide.pdf |binary ggPMX-1.2.7/ggPMX/inst/examples/pmx_report.R | 103 ggPMX-1.2.7/ggPMX/inst/init/abbrev.yaml | 8 ggPMX-1.2.7/ggPMX/inst/init/cwres.ppmx |only ggPMX-1.2.7/ggPMX/inst/init/npd.ppmx |only ggPMX-1.2.7/ggPMX/inst/init/standing.ppmx | 34 ggPMX-1.2.7/ggPMX/man/eta_cov.Rd | 3 ggPMX-1.2.7/ggPMX/man/eta_pairs.Rd | 6 ggPMX-1.2.7/ggPMX/man/eval_sym_parent_env.Rd |only ggPMX-1.2.7/ggPMX/man/facet_wrap_paginate.Rd | 8 ggPMX-1.2.7/ggPMX/man/figures/README-illustrate_diagnostic-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-illustrate_diagnostic-2.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-illustrate_diagnostic-3.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-illustrate_diagnostic-4.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-illustrate_diagnostic-5.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-settings_cat_labels-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-settings_cat_labels2-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-settings_cat_labels3-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-settings_color_scales_local-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-settings_solor_scales-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-settings_solor_scales_a-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-settings_use.abbrev-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-settings_use.finegrid-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-shrink_plot_box-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-shrink_plot_hist-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-shrink_plot_no-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-shrink_plot_strat-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-shrink_plot_var-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-unnamed-chunk-20-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-unnamed-chunk-26-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-unnamed-chunk-27-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-unnamed-chunk-28-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-unnamed-chunk-29-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-unnamed-chunk-30-1.png |binary ggPMX-1.2.7/ggPMX/man/figures/README-unnamed-chunk-41-1.png |binary ggPMX-1.2.7/ggPMX/man/pmx_nlmixr.Rd | 2 ggPMX-1.2.7/ggPMX/man/pmx_nm.Rd | 2 ggPMX-1.2.7/ggPMX/man/pmx_plot_eta_matrix.Rd | 8 ggPMX-1.2.7/ggPMX/man/pmx_plot_vpc.Rd | 4 ggPMX-1.2.7/ggPMX/man/pmx_qq_plot.Rd | 10 ggPMX-1.2.7/ggPMX/man/pmx_report.Rd | 103 ggPMX-1.2.7/ggPMX/man/residual_scatter.Rd | 35 ggPMX-1.2.7/ggPMX/man/set_data.Rd | 6 ggPMX-1.2.7/ggPMX/tests/testthat/test-nlmixr.R |only ggPMX-1.2.7/ggPMX/tests/testthat/test-plot-eta-pairs.R |only ggPMX-1.2.7/ggPMX/tests/testthat/test-plot-individual.R | 19 ggPMX-1.2.7/ggPMX/tests/testthat/test-plot-residual.R | 210 + ggPMX-1.2.7/ggPMX/tests/testthat/test-pmx-plot-eta-cov.R |only ggPMX-1.2.7/ggPMX/tests/testthat/test-pmx-plot-vpc.R |only ggPMX-1.2.7/ggPMX/tests/testthat/test-pmx-plots-scatter.R | 5 ggPMX-1.2.7/ggPMX/tests/testthat/test-pmxClass.R | 4 ggPMX-1.2.7/ggPMX/tests/testthat/test-utils.R | 71 84 files changed, 1924 insertions(+), 1100 deletions(-)
Title: Reading Annual and Quarterly Financial Reports from B3
Description: Reads annual and quarterly financial reports from companies traded at B3, the Brazilian exchange
<https://www.b3.com.br/>.
All data is downloaded and imported from CVM's public ftp site <http://dados.cvm.gov.br/dados/CIA_ABERTA/>.
Author: Marcelo Perlin [aut, cre],
Guilherme Kirch [aut]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>
Diff between GetDFPData2 versions 0.6.1 dated 2022-03-02 and 0.6.2 dated 2022-06-09
DESCRIPTION | 14 - MD5 | 17 + NEWS.md | 4 R/fct_get_ftp_contents.R | 6 README.md | 3 build/vignette.rds |binary inst/doc/GetDFPData2-vignette-introduction.html | 212 +++++++++++++++++++++++- man/get_info_companies.Rd | 2 tests |only 9 files changed, 235 insertions(+), 23 deletions(-)
Title: The Trapezoidal Distribution
Description: The trapezoid package provides 'dtrapezoid', 'ptrapezoid', 'qtrapezoid',
and 'rtrapezoid' functions for the trapezoidal distribution.
Author: Jeremy Thoms Hetzel [aut, cre]
Maintainer: Jeremy Thoms Hetzel <jthetzel@gmail.com>
Diff between trapezoid versions 2.0-0 dated 2012-12-28 and 2.0-2 dated 2022-06-09
ChangeLog | 23 +- DESCRIPTION | 20 +- MD5 | 25 +-- NAMESPACE | 5 R/dtrapezoid.R | 34 ++-- R/ptrapezoid.R | 36 ++-- R/qtrapezoid.R | 22 +- R/rtrapezoid.R | 10 - build |only inst/doc/trapezoid.R |only inst/doc/trapezoid.Rnw | 378 ++++++++++++++++++++++++------------------------ inst/doc/trapezoid.pdf |binary man/trapezoid.Rd | 248 +++++++++++++++---------------- src/trapezoif_init.c |only vignettes/trapezoid.Rnw | 378 ++++++++++++++++++++++++------------------------ 15 files changed, 593 insertions(+), 586 deletions(-)
Title: The Time Series Modeling Companion to 'healthyR'
Description: Hospital time series data analysis workflow tools, modeling, and automations.
This library provides many useful tools to review common administrative time
series hospital data. Some of these include average length of stay, and
readmission rates. The aim is to provide a simple and consistent verb
framework that takes the guesswork out of everything.
Author: Steven Sanderson [aut, cre],
Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>
Diff between healthyR.ts versions 0.1.9 dated 2022-04-26 and 0.2.0 dated 2022-06-09
healthyR.ts-0.1.9/healthyR.ts/R/ts_functions.R |only healthyR.ts-0.1.9/healthyR.ts/inst/doc/auto-model-tune.R |only healthyR.ts-0.1.9/healthyR.ts/inst/doc/auto-model-tune.Rmd |only healthyR.ts-0.1.9/healthyR.ts/inst/doc/auto-model-tune.html |only healthyR.ts-0.1.9/healthyR.ts/vignettes/auto-model-tune.Rmd |only healthyR.ts-0.2.0/healthyR.ts/DESCRIPTION | 17 healthyR.ts-0.2.0/healthyR.ts/MD5 | 162 +++-- healthyR.ts-0.2.0/healthyR.ts/NAMESPACE | 9 healthyR.ts-0.2.0/healthyR.ts/NEWS.md | 23 healthyR.ts-0.2.0/healthyR.ts/R/boilerplate-autoarima-xgboost.R | 2 healthyR.ts-0.2.0/healthyR.ts/R/boilerplate-autoarima.R |only healthyR.ts-0.2.0/healthyR.ts/R/boilerplate-glmnet.R | 5 healthyR.ts-0.2.0/healthyR.ts/R/boilerplate-lm.R |only healthyR.ts-0.2.0/healthyR.ts/R/boilerplate-smooth-es.R |only healthyR.ts-0.2.0/healthyR.ts/R/boilerplate-svm-poly.R |only healthyR.ts-0.2.0/healthyR.ts/R/boilerplate-svm-rbf.R |only healthyR.ts-0.2.0/healthyR.ts/R/boilerplate-theta.R |only healthyR.ts-0.2.0/healthyR.ts/R/calibrate-plot-list.R | 22 healthyR.ts-0.2.0/healthyR.ts/R/diagnostic_plots.R | 28 - healthyR.ts-0.2.0/healthyR.ts/R/helper-model-extraction.R | 22 healthyR.ts-0.2.0/healthyR.ts/R/pallette-color-blind.R |only healthyR.ts-0.2.0/healthyR.ts/R/simulate-ts-arima.R | 4 healthyR.ts-0.2.0/healthyR.ts/R/tidy-fft.R | 10 healthyR.ts-0.2.0/healthyR.ts/R/ts-auto-recipe.R | 31 - healthyR.ts-0.2.0/healthyR.ts/R/ts-calendar-heatmap-plt.R | 280 ++++------ healthyR.ts-0.2.0/healthyR.ts/R/ts-compare-data.R |only healthyR.ts-0.2.0/healthyR.ts/R/ts-feature-cluster-tbl.R | 6 healthyR.ts-0.2.0/healthyR.ts/R/ts-info-tbl.R | 19 healthyR.ts-0.2.0/healthyR.ts/R/ts-ma-plt.R | 35 - healthyR.ts-0.2.0/healthyR.ts/R/ts-model-compare.R | 1 healthyR.ts-0.2.0/healthyR.ts/R/ts-model-tuner.R | 27 healthyR.ts-0.2.0/healthyR.ts/R/ts-splits-plot.R | 17 healthyR.ts-0.2.0/healthyR.ts/R/ts-tune-spec-template.R | 16 healthyR.ts-0.2.0/healthyR.ts/R/ts_random_walk.R | 162 ++--- healthyR.ts-0.2.0/healthyR.ts/R/wfs-arima-boost.R | 2 healthyR.ts-0.2.0/healthyR.ts/R/wfs-arima-reg.R | 2 healthyR.ts-0.2.0/healthyR.ts/R/wfs-ets-reg.R | 2 healthyR.ts-0.2.0/healthyR.ts/R/wfs-linear-reg.R | 2 healthyR.ts-0.2.0/healthyR.ts/R/wfs-mars-reg.R | 2 healthyR.ts-0.2.0/healthyR.ts/R/wfs-nnetar-reg.R | 2 healthyR.ts-0.2.0/healthyR.ts/R/wfs-prophet-reg.R | 2 healthyR.ts-0.2.0/healthyR.ts/R/wfs-svm-poly-reg.R | 2 healthyR.ts-0.2.0/healthyR.ts/R/wfs-svm-rbf.R | 2 healthyR.ts-0.2.0/healthyR.ts/README.md | 14 healthyR.ts-0.2.0/healthyR.ts/build/vignette.rds |binary healthyR.ts-0.2.0/healthyR.ts/inst/doc/getting-started.html | 36 - 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Title: Ensemble Algorithms for Time Series Forecasting with Modeltime
Description: A 'modeltime' extension that implements time series ensemble forecasting methods including model averaging,
weighted averaging, and stacking. These techniques are popular methods
to improve forecast accuracy and stability. Refer to papers such as
"Machine-Learning Models for Sales Time Series Forecasting" Pavlyshenko, B.M. (2019) <doi:10.3390>.
Author: Matt Dancho [aut, cre],
Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>
Diff between modeltime.ensemble versions 1.0.0 dated 2021-10-19 and 1.0.1 dated 2022-06-09
modeltime.ensemble-1.0.0/modeltime.ensemble/inst/doc/nested-ensembles.R |only modeltime.ensemble-1.0.0/modeltime.ensemble/inst/doc/nested-ensembles.Rmd |only modeltime.ensemble-1.0.0/modeltime.ensemble/inst/doc/nested-ensembles.html |only modeltime.ensemble-1.0.0/modeltime.ensemble/inst/doc/recursive-ensembles.R |only modeltime.ensemble-1.0.0/modeltime.ensemble/inst/doc/recursive-ensembles.Rmd |only modeltime.ensemble-1.0.0/modeltime.ensemble/inst/doc/recursive-ensembles.html |only modeltime.ensemble-1.0.0/modeltime.ensemble/vignettes/nested-ensembles.Rmd |only modeltime.ensemble-1.0.0/modeltime.ensemble/vignettes/recursive-ensembles.Rmd |only modeltime.ensemble-1.0.1/modeltime.ensemble/DESCRIPTION | 10 modeltime.ensemble-1.0.1/modeltime.ensemble/LICENSE | 4 modeltime.ensemble-1.0.1/modeltime.ensemble/MD5 | 92 modeltime.ensemble-1.0.1/modeltime.ensemble/NAMESPACE | 130 modeltime.ensemble-1.0.1/modeltime.ensemble/NEWS.md | 132 modeltime.ensemble-1.0.1/modeltime.ensemble/R/00_global_variables.R | 12 modeltime.ensemble-1.0.1/modeltime.ensemble/R/00_imports.R | 12 modeltime.ensemble-1.0.1/modeltime.ensemble/R/dev-model_descriptions.R | 166 - modeltime.ensemble-1.0.1/modeltime.ensemble/R/ensemble_average.R | 208 - modeltime.ensemble-1.0.1/modeltime.ensemble/R/ensemble_model_spec.R | 810 ++--- modeltime.ensemble-1.0.1/modeltime.ensemble/R/ensemble_weighted.R | 268 - modeltime.ensemble-1.0.1/modeltime.ensemble/R/modeltime_calibrate.R | 26 modeltime.ensemble-1.0.1/modeltime.ensemble/R/modeltime_forecast.R | 1106 ++++---- modeltime.ensemble-1.0.1/modeltime.ensemble/R/modeltime_recursive.R | 66 modeltime.ensemble-1.0.1/modeltime.ensemble/R/modeltime_refit.R | 399 +- modeltime.ensemble-1.0.1/modeltime.ensemble/R/nested_ensemble_average.R | 1190 ++++---- modeltime.ensemble-1.0.1/modeltime.ensemble/R/nested_ensemble_weighted.R | 1376 +++++----- modeltime.ensemble-1.0.1/modeltime.ensemble/R/tibble-type_sum.R | 16 modeltime.ensemble-1.0.1/modeltime.ensemble/R/utils-parallel_processing.R | 158 - modeltime.ensemble-1.0.1/modeltime.ensemble/R/utils-pipe.R | 22 modeltime.ensemble-1.0.1/modeltime.ensemble/R/utils-tidy-eval.R | 94 modeltime.ensemble-1.0.1/modeltime.ensemble/README.md | 396 +- modeltime.ensemble-1.0.1/modeltime.ensemble/build/vignette.rds |binary modeltime.ensemble-1.0.1/modeltime.ensemble/inst/doc/getting-started-with-modeltime-ensemble.R | 240 - modeltime.ensemble-1.0.1/modeltime.ensemble/inst/doc/getting-started-with-modeltime-ensemble.Rmd | 498 +-- modeltime.ensemble-1.0.1/modeltime.ensemble/inst/doc/getting-started-with-modeltime-ensemble.html | 1003 ++++--- modeltime.ensemble-1.0.1/modeltime.ensemble/man/ensemble_average.Rd | 124 modeltime.ensemble-1.0.1/modeltime.ensemble/man/ensemble_model_spec.Rd | 302 +- modeltime.ensemble-1.0.1/modeltime.ensemble/man/ensemble_nested_average.Rd | 176 - modeltime.ensemble-1.0.1/modeltime.ensemble/man/ensemble_nested_weighted.Rd | 190 - modeltime.ensemble-1.0.1/modeltime.ensemble/man/ensemble_weighted.Rd | 126 modeltime.ensemble-1.0.1/modeltime.ensemble/man/pipe.Rd | 24 modeltime.ensemble-1.0.1/modeltime.ensemble/man/tidyeval.Rd | 102 modeltime.ensemble-1.0.1/modeltime.ensemble/tests/testthat.R | 38 modeltime.ensemble-1.0.1/modeltime.ensemble/tests/testthat/test-conf_by_id.R | 172 - modeltime.ensemble-1.0.1/modeltime.ensemble/tests/testthat/test-ensemble_average.R | 382 +- modeltime.ensemble-1.0.1/modeltime.ensemble/tests/testthat/test-ensemble_model_spec.R | 575 ++-- modeltime.ensemble-1.0.1/modeltime.ensemble/tests/testthat/test-ensemble_weighted.R | 234 - modeltime.ensemble-1.0.1/modeltime.ensemble/tests/testthat/test-nested-ensembles.R | 818 ++--- modeltime.ensemble-1.0.1/modeltime.ensemble/tests/testthat/test-panel-data.R | 466 +-- modeltime.ensemble-1.0.1/modeltime.ensemble/tests/testthat/test-recursive.R | 466 +-- modeltime.ensemble-1.0.1/modeltime.ensemble/vignettes/getting-started-with-modeltime-ensemble.Rmd | 498 +-- modeltime.ensemble-1.0.1/modeltime.ensemble/vignettes/temp |only 51 files changed, 6693 insertions(+), 6434 deletions(-)
More information about modeltime.ensemble at CRAN
Permanent link
Title: Extensions for Synthetic Controls Analysis
Description: Extensions to the synthetic controls analyses
performed by the package 'Synth' as detailed in Abadie, Diamond, and Hainmueller (2011) <doi: 10.18637/jss.v042.i13>. Includes generating
and plotting placebos, post/pre-MSPE (Mean Squared Prediction Error) significance tests and plots,
and calculating average treatment effects for multiple treated units.
This package represents an implementation of those methods
suggested in
Abadie, Diamond,and Hainmueller (2010) <doi:10.1198/jasa.2009.ap08746> for
use in Synthetic Control Analysis.
Author: Bruno Castanho Silva [aut, cre]
,
Michael DeWitt [aut]
Maintainer: Bruno Castanho Silva <bcsilva@wiso.uni-koeln.de>
Diff between SCtools versions 0.3.2 dated 2022-06-01 and 0.3.2.1 dated 2022-06-09
DESCRIPTION | 6 +++--- MD5 | 20 ++++++++++---------- R/plac.dist.R | 2 +- R/plot.placebos.R | 4 ++-- inst/doc/case-study.R | 2 +- inst/doc/case-study.Rmd | 2 +- inst/doc/case-study.html | 4 ++-- inst/doc/replicating-basque.html | 2 +- man/plac.dist.Rd | 2 +- man/plot_placebos.Rd | 2 +- vignettes/case-study.Rmd | 2 +- 11 files changed, 24 insertions(+), 24 deletions(-)
Title: Load Data from Facebook API Marketing
Description: Load data by campaigns, ads, ad sets and insights, ad account and business manager
from Facebook Marketing API into R. For more details see official documents by Facebook
Marketing API <https://developers.facebook.com/docs/marketing-apis/>.
Author: Alexey Seleznev [aut, cre]
Maintainer: Alexey Seleznev <selesnow@gmail.com>
Diff between rfacebookstat versions 2.6.2 dated 2022-05-23 and 2.7.0 dated 2022-06-09
DESCRIPTION | 10 +++++----- MD5 | 23 ++++++++++++++++++----- NEWS.md | 6 ++++++ R/fbGetAdAccounts.R | 6 ++++-- R/zzz.R | 2 +- build/partial.rdb |binary build/vignette.rds |only inst/doc |only vignettes |only 9 files changed, 34 insertions(+), 13 deletions(-)
Title: Import 'OpenStreetMap' Data as Simple Features or Spatial
Objects
Description: Download and import of 'OpenStreetMap' ('OSM') data as 'sf'
or 'sp' objects. 'OSM' data are extracted from the 'Overpass' web
server (<https://overpass-api.de/>) and processed with very fast 'C++'
routines for return to 'R'.
Author: Mark Padgham [aut, cre],
Bob Rudis [aut],
Robin Lovelace [aut],
Maelle Salmon [aut],
Andrew Smith [ctb],
James Smith [ctb],
Andrea Gilardi [ctb],
Enrico Spinielli [ctb],
Anthony North [ctb],
Martin Machyna [ctb],
Marcin Kalicinski [ctb, cph]
Maintainer: Mark Padgham <mark.padgham@email.com>
Diff between osmdata versions 0.1.9 dated 2022-01-26 and 0.1.10 dated 2022-06-09
osmdata-0.1.10/osmdata/DESCRIPTION | 25 osmdata-0.1.10/osmdata/MD5 | 153 osmdata-0.1.10/osmdata/NAMESPACE | 20 osmdata-0.1.10/osmdata/NEWS.md | 12 osmdata-0.1.10/osmdata/R/elevation.R | 41 osmdata-0.1.10/osmdata/R/features.R | 45 osmdata-0.1.10/osmdata/R/get-osmdata.R | 282 + osmdata-0.1.10/osmdata/R/getbb.R | 330 + osmdata-0.1.10/osmdata/R/opq.R | 292 + osmdata-0.1.10/osmdata/R/osm-extract.R | 213 - osmdata-0.1.10/osmdata/R/osmdata-class.R | 18 osmdata-0.1.10/osmdata/R/osmdata-methods.R | 132 osmdata-0.1.10/osmdata/R/osmdata-package.R | 7 osmdata-0.1.10/osmdata/R/overpass-query.R | 126 osmdata-0.1.10/osmdata/R/poly2line.R | 19 osmdata-0.1.10/osmdata/R/reproj.R | 14 osmdata-0.1.10/osmdata/R/trim-osmdata.R | 176 - osmdata-0.1.10/osmdata/R/unique-osmdata.R | 33 osmdata-0.1.10/osmdata/R/utils.R | 28 osmdata-0.1.10/osmdata/R/wkt4326.R | 2 osmdata-0.1.10/osmdata/R/zzz.R | 35 osmdata-0.1.10/osmdata/build/vignette.rds |binary osmdata-0.1.10/osmdata/inst/doc/osm-sf-translation.html | 1601 +++++++++ osmdata-0.1.10/osmdata/inst/doc/osmdata-sc.html | 1392 ++++++++ osmdata-0.1.10/osmdata/inst/doc/osmdata.html | 1872 ++++++++++- osmdata-0.1.10/osmdata/inst/doc/query-split.html | 1367 +++++++- osmdata-0.1.10/osmdata/inst/httptest2 |only osmdata-0.1.10/osmdata/man/add_osm_feature.Rd | 18 osmdata-0.1.10/osmdata/man/add_osm_features.Rd | 14 osmdata-0.1.10/osmdata/man/available_features.Rd | 2 osmdata-0.1.10/osmdata/man/available_tags.Rd | 2 osmdata-0.1.10/osmdata/man/figures/logo.png |only osmdata-0.1.10/osmdata/man/getbb.Rd | 23 osmdata-0.1.10/osmdata/man/opq.Rd | 16 osmdata-0.1.10/osmdata/man/osm_lines.Rd | 14 osmdata-0.1.10/osmdata/man/osm_multilines.Rd | 6 osmdata-0.1.10/osmdata/man/osm_multipolygons.Rd | 2 osmdata-0.1.10/osmdata/man/osm_points.Rd | 5 osmdata-0.1.10/osmdata/man/osm_poly2line.Rd | 4 osmdata-0.1.10/osmdata/man/osm_polygons.Rd | 7 osmdata-0.1.10/osmdata/man/osmdata_sc.Rd | 4 osmdata-0.1.10/osmdata/man/osmdata_sf.Rd | 4 osmdata-0.1.10/osmdata/man/osmdata_sp.Rd | 4 osmdata-0.1.10/osmdata/man/osmdata_xml.Rd | 4 osmdata-0.1.10/osmdata/man/trim_osmdata.Rd | 4 osmdata-0.1.10/osmdata/man/unname_osmdata_sf.Rd | 4 osmdata-0.1.10/osmdata/tests/testthat.R | 1 osmdata-0.1.10/osmdata/tests/testthat/fixtures |only osmdata-0.1.10/osmdata/tests/testthat/mock_bb |only osmdata-0.1.10/osmdata/tests/testthat/mock_bb_df |only osmdata-0.1.10/osmdata/tests/testthat/mock_bb_nope |only osmdata-0.1.10/osmdata/tests/testthat/mock_bb_poly |only osmdata-0.1.10/osmdata/tests/testthat/mock_bb_sf |only osmdata-0.1.10/osmdata/tests/testthat/mock_bb_state |only osmdata-0.1.10/osmdata/tests/testthat/mock_bb_str |only osmdata-0.1.10/osmdata/tests/testthat/mock_elevation |only osmdata-0.1.10/osmdata/tests/testthat/mock_features |only osmdata-0.1.10/osmdata/tests/testthat/mock_osm_sf |only osmdata-0.1.10/osmdata/tests/testthat/mock_osm_sp |only osmdata-0.1.10/osmdata/tests/testthat/mock_osm_xml |only osmdata-0.1.10/osmdata/tests/testthat/mock_osm_xml2 |only osmdata-0.1.10/osmdata/tests/testthat/mock_tags |only osmdata-0.1.10/osmdata/tests/testthat/mock_tags_fail |only osmdata-0.1.10/osmdata/tests/testthat/mock_unname |only osmdata-0.1.10/osmdata/tests/testthat/test-c.R | 33 osmdata-0.1.10/osmdata/tests/testthat/test-elevation.R | 54 osmdata-0.1.10/osmdata/tests/testthat/test-extract.R | 357 +- osmdata-0.1.10/osmdata/tests/testthat/test-features.R | 125 osmdata-0.1.10/osmdata/tests/testthat/test-getbb.R | 228 - osmdata-0.1.10/osmdata/tests/testthat/test-opq.R | 202 - osmdata-0.1.10/osmdata/tests/testthat/test-osmdata.R | 255 - osmdata-0.1.10/osmdata/tests/testthat/test-sc-osm.R | 26 osmdata-0.1.10/osmdata/tests/testthat/test-sf-construction.R | 842 ++-- osmdata-0.1.10/osmdata/tests/testthat/test-sf-osm.R | 212 - osmdata-0.1.10/osmdata/tests/testthat/test-sp-osm.R | 208 - osmdata-0.1.10/osmdata/tests/testthat/test-trim.R | 159 osmdata-0.1.10/osmdata/tests/testthat/test-unique.R | 48 osmdata-0.1.10/osmdata/tests/testthat/test-unname.R | 15 osmdata-0.1.10/osmdata/tests/valgrind-test.R | 9 osmdata-0.1.9/osmdata/man/figures/osmhex.png |only osmdata-0.1.9/osmdata/tests/cfm_output_af.rda |only osmdata-0.1.9/osmdata/tests/cfm_output_bb1.rda |only osmdata-0.1.9/osmdata/tests/cfm_output_bb2.rda |only osmdata-0.1.9/osmdata/tests/cfm_output_overpass_query.rda |only osmdata-0.1.9/osmdata/tests/osm-multi.osm |only osmdata-0.1.9/osmdata/tests/osm-ways.osm |only osmdata-0.1.9/osmdata/tests/overpass_query_result.rda |only osmdata-0.1.9/osmdata/tests/stub.R |only 88 files changed, 8891 insertions(+), 2255 deletions(-)
Title: Negative Binomial Models for RNA-Sequencing Data
Description: Negative Binomial (NB) models for two-group comparisons and
regression inferences from RNA-Sequencing Data.
Author: Yanming Di <diy@stat.oregonstate.edu>, Daniel W Schafer
<schafer@stat.oregonstate.edu>, with contributions from Jason S Cumbie
<cumbiej@onid.orst.edu> and Jeff H Chang <changj@cgrb.oregonstate.edu>.
Maintainer: Yanming Di <diy@stat.oregonstate.edu>
Diff between NBPSeq versions 0.3.0 dated 2014-04-14 and 0.3.1 dated 2022-06-09
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- NAMESPACE | 17 ++++++++++++++--- src/lm.c | 36 +++++++++++++++++++++--------------- 4 files changed, 42 insertions(+), 25 deletions(-)
Title: Intraclass Correlation Coefficient for Count Data
Description: Estimates the intraclass correlation coefficient (ICC) for count data to assess repeatability (intra-methods concordance) and concordance (between-method concordance). In the concordance setting, the ICC is equivalent to the concordance correlation coefficient estimated by variance components. The ICC is estimated using the estimates from generalized linear mixed models. The within-subjects distributions considered are: Poisson; Negative Binomial with additive and proportional extradispersion; Zero-Inflated Poisson; and Zero-Inflated Negative Binomial with additive and proportional extradispersion. The statistical methodology used to estimate the ICC with count data can be found in Carrasco (2010) <doi:10.1111/j.1541-0420.2009.01335.x>.
Author: Josep L. Carrasco <jlcarrasco@ub.edu>
Maintainer: Josep L. Carrasco <jlcarrasco@ub.edu>
Diff between iccCounts versions 1.1.0 dated 2022-06-03 and 1.1.1 dated 2022-06-09
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- R/core_functions.R | 6 ++---- inst/doc/iccCounts_examples.html | 4 ++-- man/plot_BA.Rd | 6 ++---- 5 files changed, 13 insertions(+), 17 deletions(-)
Title: Spatial Data Analysis
Description: Methods for spatial data analysis with raster and vector data. Raster methods allow for low-level data manipulation as well as high-level global, local, zonal, and focal computation. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started. 'terra' is very similar to the 'raster' package; but 'terra' can do more, is easier to use, and it is faster.
Author: Robert J. Hijmans [cre, aut] ,
Roger Bivand [ctb] ,
Karl Forner [ctb],
Jeroen Ooms [ctb] ,
Edzer Pebesma [ctb] ,
Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>
Diff between terra versions 1.5-21 dated 2022-02-16 and 1.5-34 dated 2022-06-09
DESCRIPTION | 16 MD5 | 245 +++++----- NAMESPACE | 5 NEWS.md | 64 ++ R/Agenerics.R | 16 R/Arith_generics.R | 42 + R/RcppExports.R | 8 R/SpatVectorCollection.R | 8 R/Zdeprecated.R | 40 - R/coerce.R | 45 + R/crs.R | 9 R/distance.R | 34 + R/expand.R | 2 R/extent.R | 28 + R/extract.R | 2 R/gdal.R | 19 R/generics.R | 118 ++++- R/geom.R | 9 R/gridDistance.R | 9 R/layerCor.R | 2 R/levels.R | 23 R/messages.R | 5 R/ncdf.R | 3 R/options.R | 3 R/pack.R | 63 ++ R/plotRGB.R | 18 R/plot_legend.R | 11 R/plot_raster.R | 8 R/plot_vector.R | 4 R/rapp.R | 8 R/rast.R | 101 ++-- R/rasterize.R | 14 R/replace.R | 7 R/sample.R | 3 R/show.R | 13 R/spatDF.R | 9 R/spatvec.R | 21 R/tapp.R | 2 R/tiles.R | 15 R/time.R | 6 R/values.R | 58 ++ R/vect.R | 20 R/write.R | 2 R/xyRowColCell.R | 47 +- R/zonal.R | 2 inst/ex/test.grd |only inst/ex/test.gri |only inst/tinytest/test_cats.R | 35 + inst/tinytest/test_focal.R | 9 inst/tinytest/test_replace.R |only inst/tinytest/test_weighted-mean.R |only inst/tinytest/test_wkt_grd.R |only man/RGB.Rd | 2 man/animate.Rd | 4 man/as.list.Rd | 5 man/as.spatvector.Rd | 6 man/centroids.Rd | 8 man/classify.Rd | 8 man/compare-generics.Rd | 7 man/compareGeom.Rd | 5 man/coords.Rd | 6 man/costDistance.Rd |only man/deprecated.Rd |only man/distance.Rd | 6 man/expanse.Rd | 4 man/ext.Rd | 4 man/factors.Rd | 5 man/gdal.Rd | 6 man/global.Rd | 4 man/gridDistance.Rd | 32 - man/inplace.Rd | 21 man/merge.Rd | 7 man/mosaic.Rd | 7 man/north.Rd | 2 man/not.na.Rd |only man/project.Rd | 26 - man/rapp.Rd | 5 man/rast.Rd | 2 man/rasterize.Rd | 5 man/rasterizeGeom.Rd |only man/serialize.Rd |only man/simplify.Rd | 3 man/sources.Rd | 10 man/src.Rd | 2 man/svc.Rd | 1 man/terra-package.Rd | 123 ++--- man/terraOptions.Rd | 4 man/terrain.Rd | 6 man/topology.Rd | 16 man/unique.Rd | 5 man/vect.Rd | 5 man/voronoi.Rd | 10 man/vrt.Rd | 5 man/where.Rd |only man/which.Rd | 2 man/writeCDF.Rd | 14 man/writeRaster.Rd | 2 man/xyCellFrom.Rd | 22 src/Makevars.ucrt | 1 src/Makevars.win | 15 src/RcppExports.cpp | 24 + src/RcppFunctions.cpp | 23 src/RcppModule.cpp | 66 ++ src/arith.cpp | 73 ++- src/distRaster.cpp | 862 +++++++++++++++++++++++++++---------- src/focal.cpp | 115 +++- src/gdal_algs.cpp | 6 src/gdalio.cpp | 16 src/geos_methods.cpp | 64 ++ src/geos_spat.h | 11 src/memory.cpp | 16 src/raster_methods.cpp | 492 +++++++++++++-------- src/raster_stats.cpp | 31 - src/rasterize.cpp | 217 ++++++++- src/read_gdal.cpp | 135 +++++ src/read_ogr.cpp | 55 +- src/spatBase.cpp | 12 src/spatBase.h | 3 src/spatDataframe.cpp | 351 +++++++++++++-- src/spatDataframe.h | 14 src/spatRaster.cpp | 92 ++- src/spatRaster.h | 30 - src/spatSources.cpp | 2 src/spatVector.cpp | 35 + src/spatVector.h | 17 src/vecmath.h | 10 src/write.cpp | 6 src/write_gdal.cpp | 18 src/write_ogr.cpp | 31 + 129 files changed, 3329 insertions(+), 1162 deletions(-)
Title: A Framework for Building HTTP API
Description: Allows to easily create high-performance full featured HTTP APIs from R
functions. Provides high-level classes such as 'Request', 'Response',
'Application', 'Middleware' in order to streamline server side
application development. Out of the box allows to serve requests using
'Rserve' package, but flexible enough to integrate with other HTTP servers
such as 'httpuv'.
Author: Dmitry Selivanov [aut, cre] ,
Artem Klevtsov [aut] ,
David Zimmermann [ctb],
rexy.ai [cph, fnd]
Maintainer: Dmitry Selivanov <ds@rexy.ai>
Diff between RestRserve versions 1.1.1 dated 2022-04-20 and 1.2.0 dated 2022-06-09
DESCRIPTION | 6 - MD5 | 40 ++++++------ NEWS.md | 13 ++++ R/Application.R | 12 +++ R/BackendRserve.R | 5 + R/ETagMiddleware.R | 112 ++++++++++++++++++++++++++++++----- R/RcppExports.R | 4 - R/zzz.R | 35 ++++++++++ README.md | 20 +++--- inst/doc/ContentHandlers.html | 6 - inst/doc/Logging.html | 6 - inst/doc/Middleware.html | 16 ++--- inst/examples/content-handlers/app.R | 17 +++-- inst/examples/plot-base/app.R | 25 +++++-- inst/tinytest/test-etag.R | 89 +++++++++++++++++++++++++++ inst/tinytest/test-parse-headers.R | 37 ++++++++++- man/Application.Rd | 16 +++++ man/ETagMiddleware.Rd | 68 ++++++++++++++++++--- src/RcppExports.cpp | 9 +- src/parse_headers.cpp | 18 +++++ vignettes/benchmarks/Benchmarks.Rmd | 8 +- 21 files changed, 459 insertions(+), 103 deletions(-)
Title: Trajectory Miner: a Toolbox for Exploring and Rendering
Sequences
Description: Toolbox for the manipulation, description and rendering of sequences, and more generally the mining of sequence data in the field of social sciences. Although the toolbox is primarily intended for analyzing state or event sequences that describe life courses such as family formation histories or professional careers, its features also apply to many other kinds of categorical sequence data. It accepts many different sequence representations as input and provides tools for converting sequences from one format to another. It offers several functions for describing and rendering sequences, for computing distances between sequences with different metrics (among which optimal matching), original dissimilarity-based analysis tools, and simple functions for extracting the most frequent subsequences and identifying the most discriminating ones among them. A user's guide can be found on the TraMineR web page.
Author: Alexis Gabadinho [aut, cph],
Matthias Studer [aut, cph] ,
Nicolas Mueller [aut],
Reto Buergin [aut] ,
Pierre-Alexandre Fonta [aut],
Gilbert Ritschard [aut, cre, cph]
Maintainer: Gilbert Ritschard <gilbert.ritschard@unige.ch>
Diff between TraMineR versions 2.2-3 dated 2022-01-19 and 2.2-4 dated 2022-06-09
DESCRIPTION | 25 +++++---- MD5 | 78 +++++++++++++++--------------- NAMESPACE | 4 + NEWS | 33 ++++++++++++ R/dissdomassoc.R | 40 +++++++-------- R/plot.stslist.rep.R | 30 ++++++++++- R/plot.stslist.statd.R | 91 ++++++++++++++++++++++++++--------- R/seqdistmc.R | 16 +++--- R/seqdplot.R | 4 + R/seqformat.R | 7 +- R/seqlength-align.R |only R/seqmaintokens.R |only R/seqplot.R | 2 R/seqstatd.R | 1 R/seqxtract.R | 4 + build/partial.rdb |binary build/vignette.rds |binary data/ex1.rda |binary data/ex2.rda |binary data/famform.rda |binary inst/NEWS.Rd | 47 +++++++++++++++++- inst/doc/TraMineR-state-sequence.pdf |binary man/TraMineR-package.Rd | 2 man/dissdomassoc.Rd | 4 - man/dissrep.Rd | 12 +--- man/plot.stslist.rep.Rd | 7 +- man/plot.stslist.statd.Rd | 23 +++++++- man/seqconc.Rd | 2 man/seqcost.Rd | 2 man/seqdecomp.Rd | 4 - man/seqdef.Rd | 4 - man/seqdistmc.Rd | 23 ++++---- man/seqformat.Rd | 12 ++-- man/seqici.Rd | 4 + man/seqindic.Rd | 4 - man/seqlength-align.Rd |only man/seqlength.Rd | 7 +- man/seqmaintokens.Rd |only man/seqplot.Rd | 16 ++++-- man/seqrep.Rd | 2 man/seqstatd.Rd | 25 ++++++--- man/seqstatl.Rd | 2 42 files changed, 369 insertions(+), 168 deletions(-)
Title: Analyzing Toxicology Dose-Response Data
Description: Toxicology routines for analyzing dose-response data include dose-response analysis
and trend tests. Dose-Response methods are based upon the US EPA's benchmark dose software 3. Methods have
been extended to include additional functionality based on World Health Organization
guidelines. It further supports the European Food Safety Authority's
draft guidance on model averaging. The dose-response methods and datasets used in this package are
described in Wheeler et al. (2019) <doi:10.1111/risa.13218>, Wheeler et al. (2020) <doi:10.1111/risa.13537>,
and Wheeler et al. (2022) <doi:10.1002/env.2728>. NTP routines are described in
Bailer and Portier (1988) <doi:10.2307/2531856>, Bieler and Williams (1993) <doi:10.2307/2532200>,
Williams (1971) <doi:10.2307/2528930>, and Shirley (1977) <doi:10.2307/2529789>.
Author: Matt Wheeler [aut, cre] ,
Sooyeong Lim [aut],
Eric Wimberly [ctb],
Keith Shockley [com],
Jennifer Fostel [com],
Lonlong Yang [ctb] ,
Dawan Taley [com],
Cari Martini [com],
Ashwin Raghuraman [ctb]
to make them standalone functions.),
Steven Johnson [ [...truncated...]
Maintainer: Matt Wheeler <matt.wheeler@nih.gov>
Diff between ToxicR versions 22.5 dated 2022-05-27 and 22.5.1 dated 2022-06-09
DESCRIPTION | 14 MD5 | 36 - build/partial.rdb |binary build/vignette.rds |binary inst/COPYRIGHTS | 7 inst/doc/Continuous.html | 696 +++++++++----------------- src/Makevars.win | 13 src/code_base/continuous_entry_code.cpp | 7 src/include/bmds_entry.h | 3 src/include/mcmc_anal.h | 8 src/include/mcmc_analysis.h | 3 src/include/mcmc_struct.h | 8 src/main_entry.cpp | 58 ++ src/nlopt-src.tar.gz |binary tests/testthat/helper.R | 25 tests/testthat/test-ma_continuous.R | 91 +-- tests/testthat/test-single_continuous_mcmc.R | 22 tests/testthat/test-single_dichotomous_mcmc.R | 6 tools/winlibs.R | 6 19 files changed, 460 insertions(+), 543 deletions(-)
Title: Send Email using R
Description: Package contains a simple SMTP client which provides a
portable solution for sending email, including attachment, from
within R.
Author: Olaf Mersmann [aut, cre],
Quinn Weber [ctb]
Maintainer: Olaf Mersmann <olafm@p-value.net>
Diff between sendmailR versions 1.2-1 dated 2014-09-21 and 1.2-1.1 dated 2022-06-09
DESCRIPTION | 9 ++++----- MD5 | 4 ++-- NAMESPACE | 5 +++-- 3 files changed, 9 insertions(+), 9 deletions(-)
Title: Plot Raster Map Tiles from Open Street Map and Other Sources
Description: Download and plot Open Street Map <https://www.openstreetmap.org/>,
Bing Maps <https://www.bing.com/maps> and other tiled map sources. Use to create
basemaps quickly and add hillshade to vector-based maps.
Author: Dewey Dunnington [aut, cre] ,
Timothee Giraud [ctb]
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>
Diff between rosm versions 0.2.5 dated 2019-07-22 and 0.2.6 dated 2022-06-09
rosm-0.2.5/rosm/build |only rosm-0.2.5/rosm/inst |only rosm-0.2.5/rosm/vignettes |only rosm-0.2.6/rosm/DESCRIPTION | 16 +- rosm-0.2.6/rosm/MD5 | 142 ++++------------------- rosm-0.2.6/rosm/NAMESPACE | 1 rosm-0.2.6/rosm/R/0_tilespec.R | 2 rosm-0.2.6/rosm/R/1_tiles.R | 4 rosm-0.2.6/rosm/R/bingmaps.R | 6 rosm-0.2.6/rosm/R/extract.R | 5 rosm-0.2.6/rosm/R/osmplot.R | 4 rosm-0.2.6/rosm/R/osmraster.R | 6 rosm-0.2.6/rosm/R/overlays.R | 8 - rosm-0.2.6/rosm/R/rosm-package.R | 10 - rosm-0.2.6/rosm/R/util.R |only rosm-0.2.6/rosm/README.md | 36 +++-- rosm-0.2.6/rosm/man/as.tile_source.Rd | 11 + rosm-0.2.6/rosm/man/bmaps.plot.Rd | 5 rosm-0.2.6/rosm/man/extract_bbox.Rd | 5 rosm-0.2.6/rosm/man/figures/README-example-1.png |binary rosm-0.2.6/rosm/man/has_internet.Rd |only rosm-0.2.6/rosm/man/osm.image.Rd | 40 +++++- rosm-0.2.6/rosm/man/osm.lines.Rd | 3 rosm-0.2.6/rosm/man/osm.plot.Rd | 23 ++- rosm-0.2.6/rosm/man/osm.points.Rd | 3 rosm-0.2.6/rosm/man/osm.polygon.Rd | 3 rosm-0.2.6/rosm/man/osm.segments.Rd | 6 rosm-0.2.6/rosm/man/osm.text.Rd | 3 rosm-0.2.6/rosm/man/register_tile_source.Rd | 3 rosm-0.2.6/rosm/man/rosm.Rd | 12 - rosm-0.2.6/rosm/tests/testthat/tests.R | 4 31 files changed, 161 insertions(+), 200 deletions(-)
Title: General Network (HTTP/FTP/...) Client Interface for R
Description: A wrapper for 'libcurl' <https://curl.se/libcurl/>
Provides functions to allow one to compose general HTTP requests
and provides convenient functions to fetch URIs, get & post
forms, etc. and process the results returned by the Web server.
This provides a great deal of control over the HTTP/FTP/...
connection and the form of the request while providing a
higher-level interface than is available just using R socket
connections. Additionally, the underlying implementation is
robust and extensive, supporting FTP/FTPS/TFTP (uploads and
downloads), SSL/HTTPS, telnet, dict, ldap, and also supports
cookies, redirects, authentication, etc.
Author: CRAN Team [ctb, cre] ,
Duncan Temple Lang [aut]
Maintainer: CRAN Team <CRAN@r-project.org>
Diff between RCurl versions 1.98-1.6 dated 2022-02-08 and 1.98-1.7 dated 2022-06-09
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- data/mimeTypeExtensions.rda |binary man/curlEscape.Rd | 2 +- man/getBinaryURL.Rd | 2 +- 5 files changed, 9 insertions(+), 9 deletions(-)
Title: Toolbox for Pseudo and Quasi Random Number Generation and Random
Generator Tests
Description: Provides (1) pseudo random generators - general linear congruential generators,
multiple recursive generators and generalized feedback shift register (SF-Mersenne Twister
algorithm and WELL generators); (2) quasi random generators - the Torus algorithm, the
Sobol sequence, the Halton sequence (including the Van der Corput sequence) and (3) some
generator tests - the gap test, the serial test, the poker test.
See e.g. Gentle (2003) <doi:10.1007/b97336>. The package can be provided
without the rngWELL dependency on demand.
Take a look at the Distribution task view of types and tests of random number generators.
Package in Memoriam of Diethelm and Barbara Wuertz.
Author: R port by Yohan Chalabi, Christophe Dutang, Petr Savicky and Diethelm Wuertz with some underlying C codes of the SFMT algorithm from M. Matsumoto and M. Saito, the Knuth-TAOCP RNG from D. Knuth.
Maintainer: Christophe Dutang <dutangc@gmail.com>
Diff between randtoolbox versions 2.0.0 dated 2022-05-23 and 2.0.1 dated 2022-06-09
DESCRIPTION | 7 ++++--- MD5 | 12 ++++++------ R/testRNG.R | 2 +- inst/NEWS | 13 ++++++++++++- inst/doc/fullpres.pdf |binary inst/doc/shortintro.pdf |binary src/LowDiscrepancy-sobol-orig1111.c | 6 ++++-- 7 files changed, 27 insertions(+), 13 deletions(-)
Title: Scale Bar, North Arrow, and Pretty Margins in R
Description: Automates the process of creating a scale bar and north arrow in
any package that uses base graphics to plot in R. Bounding box tools help find
and manipulate extents. Finally, there is a function to automate the process
of setting margins, plotting the map, scale bar, and north arrow, and resetting
graphic parameters upon completion.
Author: Dewey Dunnington <dewey@fishandwhistle.net>
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>
Diff between prettymapr versions 0.2.3 dated 2022-04-22 and 0.2.4 dated 2022-06-09
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- R/bboxtools.R | 15 +++++++-------- R/restquery.R | 2 +- man/mergebbox.Rd | 8 ++++---- man/zoombbox.Rd | 7 +++---- 6 files changed, 23 insertions(+), 25 deletions(-)
Title: Parser for mzML, mzXML, and netCDF Files (Mass Spectrometry
Data)
Description: A tiny parser to extract mass spectra data and metadata table of MS acquisition properties from mzML, mzXML and netCDF mass spectrometry files.
Author: Sadjad Fakouri-Baygi [cre, aut]
,
Dinesh Barupal [aut]
Maintainer: Sadjad Fakouri-Baygi <sadjad.fakouri-baygi@mssm.edu>
Diff between IDSL.MXP versions 1.3 dated 2022-06-06 and 1.4 dated 2022-06-09
DESCRIPTION | 6 - MD5 | 8 +- R/getScanTable.R | 212 ++++++++++++++++++++++++++++++++++--------------------- R/peak2list.R | 2 inst/CITATION | 2 5 files changed, 142 insertions(+), 88 deletions(-)
Title: Innovative Complex Split Procedures in Random Forests Through
Candidate Split Sampling
Description: Implements interaction forests [1], which are specific diversity forests and
the basic form of diversity forests that uses univariable, binary splitting [2].
Interaction forests (IFs) are ensembles of decision trees that model quantitative and
qualitative interaction effects using bivariable splitting. IFs come with the
Effect Importance Measure (EIM), which can be used to identify variable pairs that
feature quantitative and qualitative interaction effects with high predictive
relevance. IFs and EIM focus on well interpretable forms of interactions.
The package also offers plot functions for visualising the estimated forms of
interaction effects.
Categorical, metric, and survival outcomes are supported.
This is a fork of the R package 'ranger' (main author: Marvin N. Wright) that
implements random forests using an efficient C++ implementation.
References:
[1] Hornung, R. & Boulesteix, A.-L. (2022) Interaction Forests: Identifying and
exploiting interpretable quantitative and qualitative interaction effects.
Computational Statistics & Data Analysis 171:107460, <doi:10.1016/j.csda.2022.107460>.
[2] Hornung, R. (2022) Diversity forests: Using split sampling to enable
innovative complex split procedures in random forests.
SN Computer Science 3(2):1, <doi:10.1007/s42979-021-00920-1>.
Author: Roman Hornung [aut, cre], Marvin N. Wright [ctb, cph]
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>
Diff between diversityForest versions 0.3.3 dated 2022-01-05 and 0.3.4 dated 2022-06-09
DESCRIPTION | 13 ++++---- MD5 | 60 ++++++++++++++++++++--------------------- R/diversityForest-package.R | 12 ++++---- R/divfor.R | 14 ++++----- R/importance.R | 8 ++--- R/interactionfor.R | 28 +++++++++---------- R/plot.interactionfor.R | 6 ++-- R/plotEffects.R | 6 ++-- R/plotPair.R | 26 ++++++++--------- R/predict.divfor.R | 10 +++--- R/predict.interactionfor.R | 12 ++++---- R/predictions.R | 4 +- R/stock.R | 2 - R/timepoints.R | 4 +- R/treeInfo.R | 2 - R/tunedivfor.R | 4 +- R/zoo.R | 2 - build/partial.rdb |binary inst/NEWS.Rd | 14 ++++----- man/diversityForest-package.Rd | 12 ++++---- man/divfor.Rd | 10 +++--- man/interactionfor.Rd | 24 ++++++++-------- man/plot.interactionfor.Rd | 6 ++-- man/plotEffects.Rd | 6 ++-- man/plotPair.Rd | 4 +- man/predict.divfor.Rd | 8 ++--- man/predict.interactionfor.Rd | 10 +++--- man/stock.Rd | 2 - man/tunedivfor.Rd | 4 +- man/zoo.Rd | 2 - src/Forest.cpp | 2 - 31 files changed, 158 insertions(+), 159 deletions(-)
More information about diversityForest at CRAN
Permanent link
Title: Data Preprocessing, Discretization for Classification
Description: A collection of supervised discretization
algorithms. It can also be grouped in terms of top-down or
bottom-up, implementing the discretization algorithms.
Author: HyunJi Kim
Maintainer: HyunJi Kim <polaris7867@gmail.com>
Diff between discretization versions 1.0-1 dated 2011-02-13 and 1.0-1.1 dated 2022-06-09
DESCRIPTION | 11 ++++++----- MD5 | 6 +++--- NAMESPACE | 5 ++--- R/Xi.R | 2 +- 4 files changed, 12 insertions(+), 12 deletions(-)
More information about discretization at CRAN
Permanent link
Title: Small Area Estimation under Hurdle Negative Binomial
Distribution using Hierarchical Bayesian Method
Description: We design this package to provide a function for area level of small area estimation using Hierarchical Bayesian (HB) method under Hurdle Negative Binomial Distribution. This package provides model using Univariate Hurdle Negative Binomial Distribution for variable of interest. This package also provides a dataset produced by a data generation. The 'rjags' package is employed to obtain parameter estimates. Model-based estimators involves the Hierarchical Bayes estimators which include the mean and the variation of mean. For references, see Hilbe (2011) <doi:10.1017/CBO9780511973420> and Rao (2015) <doi:10.1002/9781118735855>.
Author: Raka Ikmana [aut, cre], Azka Ubaidillah [aut]
Maintainer: Raka Ikmana <221810548@stis.ac.id>
Diff between saeHB.hnb versions 0.1.0 dated 2022-03-08 and 0.1.1 dated 2022-06-09
saeHB.hnb-0.1.0/saeHB.hnb/R/dataHNBNs.R |only saeHB.hnb-0.1.0/saeHB.hnb/data/dataHNBNs.rda |only saeHB.hnb-0.1.0/saeHB.hnb/man/dataHNBNs.Rd |only saeHB.hnb-0.1.1/saeHB.hnb/DESCRIPTION | 6 saeHB.hnb-0.1.1/saeHB.hnb/MD5 | 22 +- saeHB.hnb-0.1.1/saeHB.hnb/R/HurdleNB.R | 185 +++++++++++++--------- saeHB.hnb-0.1.1/saeHB.hnb/R/dataHNBNS.R |only saeHB.hnb-0.1.1/saeHB.hnb/R/saeHB.hnb.R | 2 saeHB.hnb-0.1.1/saeHB.hnb/build/vignette.rds |binary saeHB.hnb-0.1.1/saeHB.hnb/data/dataHNB.rda |binary saeHB.hnb-0.1.1/saeHB.hnb/data/dataHNBNS.rda |only saeHB.hnb-0.1.1/saeHB.hnb/inst/doc/saeHB_hnb.html | 2 saeHB.hnb-0.1.1/saeHB.hnb/man/HurdleNB.Rd | 2 saeHB.hnb-0.1.1/saeHB.hnb/man/dataHNBNS.Rd |only saeHB.hnb-0.1.1/saeHB.hnb/man/saeHB.hnb.Rd | 2 15 files changed, 131 insertions(+), 90 deletions(-)
Title: Power and Sample Size Calculation for Non-Proportional Hazards
Description: Performs power and sample size calculation for non-proportional hazards model using the Fleming-Harrington family of weighted log-rank tests. The sequentially calculated log-rank test score statistics are assumed to have independent increments as characterized in Anastasios A. Tsiatis (1982) <doi:10.1080/01621459.1982.10477898>. The mean and variance of log-rank test score statistics are calculated based on Edward Lakatos (1986) <doi:10.1016/0197-2456(86)90047-4> and Kaifeng Lu (2021) <doi:10.1002/pst.2069>. The boundary crossing probabilities are calculated using the recursive integration algorithm described in Christopher Jennison and Bruce W. Turnbull (2000, ISBN:0849303168). The inverse normal combination method due to Lu Cui, H. M. James Hung, and Sue-Jane Wang (1999) <doi:10.1111/j.0006-341x.1999.00853.x> is used in the simulation study to accommodate the information time not proportional to the total number of events for weighted log-rank tests.
Author: Kaifeng Lu
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>
Diff between lrstat versions 0.1.4 dated 2022-06-07 and 0.1.5 dated 2022-06-09
DESCRIPTION | 8 ++++---- MD5 | 16 ++++++++-------- NEWS.md | 14 +++++++------- build/partial.rdb |binary inst/doc/non-proportional_hazards.html | 4 ++-- inst/doc/stratified.html | 4 ++-- src/lrsim.cpp | 2 +- src/lrstat.cpp | 6 ------ src/utilities.cpp | 6 +++--- 9 files changed, 27 insertions(+), 33 deletions(-)
Title: Human and Machine-Readable Justifications and Justified
Decisions Based on 'YAML'
Description: Leverages the 'yum' package to
implement a 'YAML' ('YAML Ain't Markup Language', a human
friendly standard for data serialization; see <https:yaml.org>)
standard for documenting justifications, such as for decisions
taken during the planning, execution and analysis of a study
or during the development of a behavior change intervention
as illustrated by Marques & Peters (2019)
<doi:10.17605/osf.io/ndxha>. These justifications are both
human- and machine-readable, facilitating efficient extraction
and organisation.
Author: Gjalt-Jorn Ygram Peters [aut, cre]
,
Szilvia Zorgo [ctb]
Maintainer: Gjalt-Jorn Ygram Peters <gjalt-jorn@behaviorchange.eu>
Diff between justifier versions 0.2.2 dated 2021-09-18 and 0.2.4 dated 2022-06-09
DESCRIPTION | 8 MD5 | 68 R/opts.R | 30 README.md | 2 build/vignette.rds |binary inst/doc/general-introduction-to-justifier.Rmd | 2 inst/doc/general-introduction-to-justifier.html | 384 ++++ inst/doc/justifier-in-intervention-development.Rmd | 2 inst/doc/justifier-in-intervention-development.html | 672 +++++++- inst/doc/justifier-in-study-design.html | 1602 +++++++++++++++++++- man/base30and36conversion.Rd | 68 man/cat0.Rd | 46 man/clean_workspace.Rd | 48 man/export_justification.Rd | 108 - man/export_to_json.Rd | 90 - man/flatteningJustifierElements.Rd | 108 - man/generate_id.Rd | 64 man/get_workspace.Rd | 40 man/get_workspace_id.Rd | 40 man/ifelseObj.Rd | 52 man/import_from_json.Rd | 82 - man/log_decision.Rd | 110 - man/merge_specLists.Rd | 40 man/opts.Rd | 164 +- man/parsing_justifications.Rd | 168 +- man/randomSlug.Rd | 58 man/referencingById.Rd | 114 - man/repeatStr.Rd | 54 man/save_workspace.Rd | 84 - man/set_workspace_id.Rd | 44 man/structuredJustifications.Rd | 34 man/to_specList.Rd | 124 - man/vecTxt.Rd | 108 - vignettes/general-introduction-to-justifier.Rmd | 2 vignettes/justifier-in-intervention-development.Rmd | 2 35 files changed, 3510 insertions(+), 1112 deletions(-)
Title: Entropy Reweighting to Create Balanced Samples
Description: Package implements entropy balancing, a data preprocessing procedure described in Hainmueller (2008, <doi:10.1093/pan/mpr025>) that allows users to reweight a dataset such that the covariate distributions in the reweighted data satisfy a set of user specified moment conditions. This can be useful to create balanced samples in observational studies with a binary treatment where the control group data can be reweighted to match the covariate moments in the treatment group. Entropy balancing can also be used to reweight a survey sample to known characteristics from a target population.
Author: Jens Hainmueller
Maintainer: Jens Hainmueller <jhain@stanford.edu>
Diff between ebal versions 0.1-6 dated 2014-01-27 and 0.1-8 dated 2022-06-09
DESCRIPTION | 15 +-- MD5 | 10 +- NAMESPACE | 2 R/eb.R | 100 ++++++++++----------- R/ebalance.R | 224 ++++++++++++++++++++++++------------------------- R/ebalance.trim.r | 246 +++++++++++++++++++++++++++--------------------------- 6 files changed, 300 insertions(+), 297 deletions(-)
Title: Bayesian Multivariate Meta-Analysis
Description: Objective Bayesian inference procedures for the parameters of the
multivariate random effects model with application to multivariate
meta-analysis. The posterior for the model parameters, namely the overall
mean vector and the between-study covariance matrix, are assessed by
constructing Markov chains based on the Metropolis-Hastings algorithms as
developed in Bodnar and Bodnar (2021) (<arXiv:2104.02105>). The
Metropolis-Hastings algorithm is designed under the assumption of the
normal distribution and the t-distribution when the Berger and Bernardo
reference prior and the Jeffreys prior are assigned to the model parameters.
Convergence properties of the generated Markov chains are investigated by
the rank plots and the split hat-R estimate based on the rank normalization,
which are proposed in Vehtari et al. (2021) (<DOI:10.1214/20-BA1221>).
Author: Olha Bodnar [aut] ,
Taras Bodnar [aut] ,
Erik Thorsen [aut, cre]
Maintainer: Erik Thorsen <erik.thorsen@math.su.se>
Diff between BayesMultMeta versions 0.1.0 dated 2022-05-17 and 0.1.1 dated 2022-06-09
DESCRIPTION | 10 +++++----- MD5 | 6 +++--- README.md | 2 +- build/partial.rdb |binary 4 files changed, 9 insertions(+), 9 deletions(-)
Title: 'Opal' Data Repository Client and 'DataSHIELD' Utils
Description: Data integration Web application for biobanks by 'OBiBa'. 'Opal' is
the core database application for biobanks. Participant data, once
collected from any data source, must be integrated and stored in a central
data repository under a uniform model. 'Opal' is such a central repository.
It can import, process, validate, query, analyze, report, and export data.
'Opal' is typically used in a research center to analyze the data acquired at
assessment centres. Its ultimate purpose is to achieve seamless
data-sharing among biobanks. This 'Opal' client allows to interact with 'Opal'
web services and to perform operations on the R server side. 'DataSHIELD'
administration tools are also provided.
Author: Yannick Marcon [aut, cre] ,
Amadou Gaye [ctb] ,
OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>
Diff between opalr versions 3.1.0 dated 2022-05-02 and 3.1.1 dated 2022-06-09
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ R/opal.R | 11 ++++++++--- inst/doc/datashield-admin.html | 4 ++-- inst/doc/opal-files.html | 4 ++-- inst/doc/opal-projects.html | 4 ++-- inst/doc/opal-rsession.html | 4 ++-- 7 files changed, 25 insertions(+), 20 deletions(-)
Title: ExifTool Functionality from R
Description: Reads, writes, and edits EXIF and other file metadata
using ExifTool <https://exiftool.org/>, returning read results as
a data frame. ExifTool supports many different metadata formats
including EXIF, GPS, IPTC, XMP, JFIF, GeoTIFF, ICC Profile,
Photoshop IRB, FlashPix, AFCP and ID3, Lyrics3, as well as the
maker notes of many digital cameras by Canon, Casio, DJI, FLIR,
FujiFilm, GE, GoPro, HP, JVC/Victor, Kodak, Leaf,
Minolta/Konica-Minolta, Motorola, Nikon, Nintendo, Olympus/Epson,
Panasonic/Leica, Pentax/Asahi, Phase One, Reconyx, Ricoh, Samsung,
Sanyo, Sigma/Foveon and Sony.
Author: Joshua O'Brien [aut, cre]
Maintainer: Joshua O'Brien <joshmobrien@gmail.com>
Diff between exiftoolr versions 0.1.7 dated 2021-11-18 and 0.1.8 dated 2022-06-09
DESCRIPTION | 11 +++++------ MD5 | 6 +++--- NEWS.md | 10 ++++++++++ R/utils.R | 3 ++- 4 files changed, 20 insertions(+), 10 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-04-25 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-01-24 0.3
2010-11-29 0.2
2010-01-19 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-01-24 0.2
2010-01-19 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-09-17 0.2-0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-08-28 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-05-14 1.5.4
2021-11-02 1.5.1
2020-12-08 1.4.3
2020-09-08 1.3.0
2019-09-07 1.1.2
2019-06-15 1.1.1
2016-02-14 0.9.2
2015-11-21 0.8.8
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-09-20 2.00
2014-04-18 1.02
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-06-12 0.1-2
2014-04-30 0.1-1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-09-17 0.1-0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-09-17 0.1-0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-07-03 0.7.1
Title: Visualizing Categorical Data
Description: Visualization techniques, data sets, summary and inference
procedures aimed particularly at categorical data. Special
emphasis is given to highly extensible grid graphics. The
package was package was originally inspired by the book
"Visualizing Categorical Data" by Michael Friendly and is
now the main support package for a new book,
"Discrete Data Analysis with R" by Michael Friendly and
David Meyer (2015).
Author: David Meyer [aut, cre],
Achim Zeileis [aut] ,
Kurt Hornik [aut],
Florian Gerber [ctb],
Michael Friendly [ctb]
Maintainer: David Meyer <David.Meyer@R-project.org>
Diff between vcd versions 1.4-9 dated 2021-10-18 and 1.4-10 dated 2022-06-09
DESCRIPTION | 6 +- MD5 | 94 ++++++++++++++++++++--------------------- R/binregplot.R | 10 ++-- build/partial.rdb |binary build/vignette.rds |binary data/Butterfly.rda |binary data/Employment.rda |binary data/Federalist.rda |binary data/HorseKicks.rda |binary data/Hospital.rda |binary data/Lifeboats.rda |binary data/MSPatients.rda |binary data/PreSex.rda |binary data/RepVict.rda |binary data/Rochdale.rda |binary data/Saxony.rda |binary data/Suicide.rda |binary data/UKSoccer.rda |binary data/WeldonDice.rda |binary data/WomenQueue.rda |binary inst/CITATION | 22 ++------- inst/NEWS.Rd | 4 + inst/doc/residual-shadings.pdf |binary inst/doc/strucplot.pdf |binary man/Arthritis.Rd | 4 - man/HorseKicks.Rd | 4 - man/MSPatients.Rd | 4 - man/PreSex.Rd | 6 +- man/VonBort.Rd | 4 - man/WomenQueue.Rd | 8 +-- man/assoc.Rd | 3 - man/cotab_panel.Rd | 4 - man/cotabplot.Rd | 4 - man/doubledecker.Rd | 5 -- man/labeling_border.Rd | 4 - man/labeling_cells_list.Rd | 4 - man/legends.Rd | 4 - man/mosaic.Rd | 4 - man/pairs.table.Rd | 16 +++--- man/shadings.Rd | 3 - man/sieve.Rd | 4 - man/spacings.Rd | 5 -- man/struc_assoc.Rd | 4 - man/struc_mosaic.Rd | 5 -- man/struc_sieve.Rd | 4 - man/strucplot.Rd | 14 +++--- man/structable.Rd | 4 - vignettes/vcd.bib | 6 +- 48 files changed, 126 insertions(+), 137 deletions(-)
Title: Distance and Similarity Measures
Description: Provides an extensible framework for the efficient calculation of auto- and cross-proximities, along with implementations of the most popular ones.
Author: David Meyer [aut, cre],
Christian Buchta [aut]
Maintainer: David Meyer <David.Meyer@R-project.org>
Diff between proxy versions 0.4-26 dated 2021-06-07 and 0.4-27 dated 2022-06-09
DESCRIPTION | 6 +++--- MD5 | 18 +++++++++--------- R/dist.R | 2 +- R/similarities.R | 18 ++++++++++++++++-- build/vignette.rds |binary inst/NEWS.Rd | 9 ++++++++- inst/doc/overview.pdf |binary man/dist.Rd | 2 +- man/registry.Rd | 2 +- tests/distcalls.Rout.save | 10 ++++++---- 10 files changed, 45 insertions(+), 22 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-01-28 1.0-1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-07-01 3.5
2011-03-18 3.1
2009-10-28 3.0
2009-03-05 2.1
2009-03-03 1.1
2009-02-27 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-01-11 1.1
2013-08-29 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-12-15 0.0.9
2012-04-09 0.0.7
2012-03-01 0.0.6
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-06-16 0.1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-01-03 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-08-04 3.0
2012-10-05 2.0
2012-10-02 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-05-28 1.1
2013-04-23 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-07-10 0.20
2013-03-23 0.15
2013-03-23 0.16
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-02-15 1.0.3
2013-11-14 1.0.2
2013-07-14 1.0.1
2013-03-17 1.00
2013-01-29 0.93
2013-01-28 0.92
2013-01-26 0.90
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-02-09 1.0.2
2012-10-22 1.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-01-24 1.0
2012-07-12 0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-05-17 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-06-04 1.0.2
2014-03-24 1.0.1
2014-03-20 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-10-28 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-07-10 2.1
2014-03-27 2.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-04-14 1.0
2015-02-02 0.4
2013-12-18 0.3
2011-02-03 0.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2010-04-09 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-06-30 1.0.2
2014-03-14 1.0.1
2013-12-09 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-06-08 1.5
2012-04-28 1.4
2011-09-23 1.3
2011-08-05 1.2
Title: Dynamic Panel Models with Orthogonal Reparameterization of Fixed
Effects
Description: Implements the orthogonal reparameterization
approach recommended by Lancaster (2002) to estimate dynamic panel
models with fixed effects (and optionally: panel specific
intercepts). The approach uses a likelihood-based estimator and
produces estimates that are asymptotically unbiased as N goes to
infinity, with a T as low as 2.
Author: Davor Cubranic [aut],
Mark Pickup [aut, cre],
Paul Gustafson [aut],
Geoffrey Evans [aut],
Jonoska Stojkova Biljana [ctb]
Maintainer: Mark Pickup <mark.pickup@sfu.ca>
Diff between OrthoPanels versions 1.1-4 dated 2021-05-04 and 1.2-4 dated 2022-06-09
DESCRIPTION | 8 - MD5 | 42 ++++---- NAMESPACE | 80 +++++++-------- NEWS.md | 6 + R/opm.R | 110 +++++++++++++++++++++ build/vignette.rds |binary inst/doc/intro-opm.R | 24 ++-- inst/doc/intro-opm.Rmd | 26 +++++ inst/doc/intro-opm.html | 169 ++++++++++++++++++++------------ man/BES_panel.Rd | 68 ++++++------- man/DIC.Rd | 70 ++++++------- man/OrthoPanels-package.Rd | 82 +++++++-------- man/abond_panel.Rd | 76 +++++++------- man/caterplot.Rd | 81 ++++++++------- man/caterplot_longRun.Rd |only man/confint.opm.Rd | 72 +++++++------- man/hist.opm.Rd | 85 ++++++++-------- man/longRunEffects.Rd |only man/opm.Rd | 231 ++++++++++++++++++++++----------------------- man/p_rho.Rd | 40 +++---- man/plot.opm.Rd | 73 +++++++------- man/quantile.opm.Rd | 72 +++++++------- vignettes/intro-opm.Rmd | 26 +++++ 23 files changed, 838 insertions(+), 603 deletions(-)
Title: Seeded Canonical Correlation Analysis
Description: Functions for dimension reduction through the seeded canonical correlation analysis are provided. A classical canonical correlation analysis (CCA) is one of useful statistical methods in multivariate data analysis, but it is limited in use due to the matrix inversion for large p small n data. To overcome this, a seeded CCA has been proposed in Im, Gang and Yoo (2015) \doi{10.1002/cem.2691}. The seeded CCA is a two-step procedure. The sets of variables are initially reduced by successively projecting cov(X,Y) or cov(Y,X) onto cov(X) and cov(Y), respectively, without loss of information on canonical correlation analysis, following Cook, Li and Chiaromonte (2007) \doi{10.1093/biomet/asm038} and Lee and Yoo (2014) \doi{10.1111/anzs.12057}. Then, the canonical correlation is finalized with the initially-reduced two sets of variables.
Author: Jae Keun Yoo, Bo-Young Kim
Maintainer: Jae Keun Yoo <peter.yoo@ewha.ac.kr>
Diff between seedCCA versions 3.0 dated 2020-03-29 and 3.1 dated 2022-06-09
DESCRIPTION | 10 +++++----- MD5 | 6 +++--- man/seedCCA.Rd | 12 ++++++------ man/selectu.Rd | 4 ++-- 4 files changed, 16 insertions(+), 16 deletions(-)