Title: A Pipeline to Process Single Cell RNAseq Data
Description: A pipeline that can process single or multiple Single Cell RNAseq
samples primarily specializes in Clustering and Dimensionality Reduction.
Meanwhile we use common cell type marker genes for T cells, B cells, Myeloid cells,
Epithelial cells, and stromal cells (Fiboblast, Endothelial cells, Pericyte,
Smooth muscle cells) to visualize the Seurat clusters, to facilitate labeling
them by biological names. Once users named each cluster, they can evaluate the
quality of them again and find the de novo marker genes also.
Author: Jianming Zeng [aut],
Yonghe Xia [ctb, cre],
Biotrainee group [cph, fnd]
Maintainer: Yonghe Xia <xiayh17@gmail.com>
Diff between scRNAstat versions 0.1.1.1 dated 2025-03-08 and 0.1.1.2 dated 2026-05-14
DESCRIPTION | 9 ++++----- MD5 | 2 +- 2 files changed, 5 insertions(+), 6 deletions(-)
Title: Muscle Near-Infrared Spectroscopy Processing and Analysis
Description: Read, process, and analyse data from muscle near-infrared
spectroscopy (mNIRS) devices. Import raw data from .csv or .xls(x)
files and return time-series data and metadata. Includes standardised
methods for cleaning, filtering, and pre-processing mNIRS data for
subsequent analysis. Also includes a custom plot theme and colour
palette. Intended for mNIRS researchers and practitioners in exercise
physiology, sports science, and clinical rehabilitation with minimal
coding experience required.
Author: Jem Arnold [aut, cre, cph]
Maintainer: Jem Arnold <jem.arnold@gmail.com>
Diff between mnirs versions 0.6.3 dated 2026-05-07 and 0.6.4 dated 2026-05-14
DESCRIPTION | 6 - MD5 | 64 ++++++++++++----- NEWS.md | 7 + R/resample_mnirs.R | 118 +++++++++++++++++++-------------- man/apply_span.Rd | 24 +++--- man/detect_irregular_samples.Rd | 24 +++--- man/detect_time_channel.Rd | 34 ++++----- man/example_mnirs.Rd | 58 ++++++++-------- man/extract_start_timestamp.Rd | 24 +++--- man/figures/lifecycle-deprecated.svg | 42 +++++------ man/figures/lifecycle-experimental.svg | 42 +++++------ man/figures/lifecycle-stable.svg | 58 ++++++++-------- man/figures/lifecycle-superseded.svg | 42 +++++------ man/is_empty.Rd | 24 +++--- man/make_list.Rd | 24 +++--- man/name_channels.Rd | 24 +++--- man/parse_sample_rate.Rd | 38 +++++----- man/read_file.Rd | 24 +++--- man/rename_duplicates.Rd | 24 +++--- man/resample_mnirs.Rd | 2 tests/testthat.R | 24 +++--- tests/testthat/test-resample_mnirs.R | 45 +++++++++--- vignettes/_extensions |only 23 files changed, 422 insertions(+), 350 deletions(-)
Title: Time Series Prediction with Integrated Tuning
Description: Time series prediction is a critical task in data analysis, requiring not only the selection of appropriate models, but also suitable data preprocessing and tuning strategies.
TSPredIT (Time Series Prediction with Integrated Tuning) is a framework that provides a seamless integration of data preprocessing, decomposition, model training, hyperparameter optimization, and evaluation.
Unlike other frameworks, TSPredIT emphasizes the co-optimization of both preprocessing and modeling steps, improving predictive performance.
It supports a variety of statistical and machine learning models, filtering techniques, outlier detection, data augmentation, and ensemble strategies.
More information is available in Salles et al. <doi:10.1007/978-3-662-68014-8_2>.
Author: Eduardo Ogasawara [aut, ths, cre] ,
Cristiane Gea [aut],
Diego Carvalho [ctb],
Diogo Santos [aut],
Eduardo Bezerra [ctb],
Esther Pacitti [ctb],
Fabio Porto [ctb],
Fernando Alexandrino [aut],
Rebecca Salles [aut],
Vitoria Birindiba [aut],
CEFET/RJ [cp [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>
Diff between tspredit versions 1.2.767 dated 2026-02-11 and 1.3.707 dated 2026-05-14
tspredit-1.2.767/tspredit/R/ts_norm_ean.R |only tspredit-1.2.767/tspredit/man/ts_norm_ean.Rd |only tspredit-1.3.707/tspredit/DESCRIPTION | 8 tspredit-1.3.707/tspredit/MD5 | 184 ++++++++-------- tspredit-1.3.707/tspredit/NAMESPACE | 10 tspredit-1.3.707/tspredit/R/data.R | 31 ++ tspredit-1.3.707/tspredit/R/ts_arima.R | 73 ++++-- tspredit-1.3.707/tspredit/R/ts_aug_awareness.R | 1 tspredit-1.3.707/tspredit/R/ts_aug_awaresmooth.R | 1 tspredit-1.3.707/tspredit/R/ts_aug_flip.R | 1 tspredit-1.3.707/tspredit/R/ts_aug_jitter.R | 1 tspredit-1.3.707/tspredit/R/ts_aug_none.R | 1 tspredit-1.3.707/tspredit/R/ts_aug_shrink.R | 1 tspredit-1.3.707/tspredit/R/ts_aug_stretch.R | 1 tspredit-1.3.707/tspredit/R/ts_aug_wormhole.R | 1 tspredit-1.3.707/tspredit/R/ts_data.R | 28 ++ tspredit-1.3.707/tspredit/R/ts_elm.R | 10 tspredit-1.3.707/tspredit/R/ts_fil_ema.R | 1 tspredit-1.3.707/tspredit/R/ts_fil_emd.R | 1 tspredit-1.3.707/tspredit/R/ts_fil_fft.R | 55 ++-- tspredit-1.3.707/tspredit/R/ts_fil_hp.R | 1 tspredit-1.3.707/tspredit/R/ts_fil_kalman.R | 1 tspredit-1.3.707/tspredit/R/ts_fil_lowess.R | 1 tspredit-1.3.707/tspredit/R/ts_fil_ma.R | 1 tspredit-1.3.707/tspredit/R/ts_fil_none.R | 1 tspredit-1.3.707/tspredit/R/ts_fil_qes.R | 7 tspredit-1.3.707/tspredit/R/ts_fil_recursive.R | 1 tspredit-1.3.707/tspredit/R/ts_fil_remd.R | 1 tspredit-1.3.707/tspredit/R/ts_fil_seas_adj.R | 62 +++-- tspredit-1.3.707/tspredit/R/ts_fil_ses.R | 6 tspredit-1.3.707/tspredit/R/ts_fil_smooth.R | 1 tspredit-1.3.707/tspredit/R/ts_fil_spline.R | 1 tspredit-1.3.707/tspredit/R/ts_fil_wavelet.R | 1 tspredit-1.3.707/tspredit/R/ts_fil_winsor.R | 1 tspredit-1.3.707/tspredit/R/ts_integtune.R | 1 tspredit-1.3.707/tspredit/R/ts_knn.R | 8 tspredit-1.3.707/tspredit/R/ts_lagmap.R |only tspredit-1.3.707/tspredit/R/ts_mlp.R | 10 tspredit-1.3.707/tspredit/R/ts_norm_an.R | 226 ++++++++++++++++---- tspredit-1.3.707/tspredit/R/ts_norm_diff.R | 1 tspredit-1.3.707/tspredit/R/ts_norm_gminmax.R | 1 tspredit-1.3.707/tspredit/R/ts_norm_none.R | 1 tspredit-1.3.707/tspredit/R/ts_norm_swminmax.R | 1 tspredit-1.3.707/tspredit/R/ts_reg.R | 22 + tspredit-1.3.707/tspredit/R/ts_regsw.R | 24 +- tspredit-1.3.707/tspredit/R/ts_rf.R | 15 - tspredit-1.3.707/tspredit/R/ts_svm.R | 13 - tspredit-1.3.707/tspredit/R/ts_tune.R | 1 tspredit-1.3.707/tspredit/R/tsanutils.R |only tspredit-1.3.707/tspredit/R/tslagutils.R |only tspredit-1.3.707/tspredit/README.md | 94 ++++++-- tspredit-1.3.707/tspredit/build/partial.rdb |binary tspredit-1.3.707/tspredit/man/R2.ts.Rd | 16 + tspredit-1.3.707/tspredit/man/sub-.ts_data.Rd | 6 tspredit-1.3.707/tspredit/man/ts_arima.Rd | 36 ++- tspredit-1.3.707/tspredit/man/ts_aug_awareness.Rd | 1 tspredit-1.3.707/tspredit/man/ts_aug_awaresmooth.Rd | 1 tspredit-1.3.707/tspredit/man/ts_aug_flip.Rd | 1 tspredit-1.3.707/tspredit/man/ts_aug_jitter.Rd | 1 tspredit-1.3.707/tspredit/man/ts_aug_none.Rd | 1 tspredit-1.3.707/tspredit/man/ts_aug_shrink.Rd | 1 tspredit-1.3.707/tspredit/man/ts_aug_stretch.Rd | 1 tspredit-1.3.707/tspredit/man/ts_aug_wormhole.Rd | 1 tspredit-1.3.707/tspredit/man/ts_elm.Rd | 15 + tspredit-1.3.707/tspredit/man/ts_fil_ema.Rd | 1 tspredit-1.3.707/tspredit/man/ts_fil_emd.Rd | 1 tspredit-1.3.707/tspredit/man/ts_fil_fft.Rd | 19 - tspredit-1.3.707/tspredit/man/ts_fil_hp.Rd | 1 tspredit-1.3.707/tspredit/man/ts_fil_kalman.Rd | 1 tspredit-1.3.707/tspredit/man/ts_fil_lowess.Rd | 1 tspredit-1.3.707/tspredit/man/ts_fil_ma.Rd | 1 tspredit-1.3.707/tspredit/man/ts_fil_none.Rd | 1 tspredit-1.3.707/tspredit/man/ts_fil_qes.Rd | 3 tspredit-1.3.707/tspredit/man/ts_fil_recursive.Rd | 1 tspredit-1.3.707/tspredit/man/ts_fil_remd.Rd | 1 tspredit-1.3.707/tspredit/man/ts_fil_seas_adj.Rd | 24 +- tspredit-1.3.707/tspredit/man/ts_fil_ses.Rd | 3 tspredit-1.3.707/tspredit/man/ts_fil_smooth.Rd | 1 tspredit-1.3.707/tspredit/man/ts_fil_spline.Rd | 1 tspredit-1.3.707/tspredit/man/ts_fil_wavelet.Rd | 1 tspredit-1.3.707/tspredit/man/ts_fil_winsor.Rd | 1 tspredit-1.3.707/tspredit/man/ts_integtune.Rd | 1 tspredit-1.3.707/tspredit/man/ts_knn.Rd | 7 tspredit-1.3.707/tspredit/man/ts_lagmap.Rd |only tspredit-1.3.707/tspredit/man/ts_mlp.Rd | 16 + tspredit-1.3.707/tspredit/man/ts_norm_an.Rd | 73 ++++++ tspredit-1.3.707/tspredit/man/ts_norm_diff.Rd | 1 tspredit-1.3.707/tspredit/man/ts_norm_gminmax.Rd | 1 tspredit-1.3.707/tspredit/man/ts_norm_none.Rd | 1 tspredit-1.3.707/tspredit/man/ts_norm_swminmax.Rd | 1 tspredit-1.3.707/tspredit/man/ts_regsw.Rd | 4 tspredit-1.3.707/tspredit/man/ts_rf.Rd | 19 + tspredit-1.3.707/tspredit/man/ts_svm.Rd | 12 - tspredit-1.3.707/tspredit/man/ts_tune.Rd | 1 tspredit-1.3.707/tspredit/man/tsanutils.Rd |only tspredit-1.3.707/tspredit/man/tsd.Rd | 32 ++ tspredit-1.3.707/tspredit/man/tslagutils.Rd |only 97 files changed, 902 insertions(+), 323 deletions(-)
Title: 'StreamCatTools'
Description: Tools for using the 'StreamCat' and 'LakeCat' API and
interacting with the 'StreamCat' and 'LakeCat' database.
Convenience functions in the package wrap the API for 'StreamCat'
on <https://api.epa.gov/StreamCat/streams/metrics>.
Author: Marc Weber [aut, cre],
Ryan Hill [ctb],
Selia Markley [ctb],
Travis Hudson [ctb],
Allen Brookes [ctb],
David Rebhuhn [ctb],
Michael Dumelle [ctb],
Justin Bousquin [ctb],
Zachary Smith [ctb]
Maintainer: Marc Weber <weber.marc@epa.gov>
Diff between StreamCatTools versions 0.10.0 dated 2026-01-30 and 0.11.0 dated 2026-05-14
StreamCatTools-0.10.0/StreamCatTools/inst/extdata/JOSS |only StreamCatTools-0.11.0/StreamCatTools/DESCRIPTION | 18 + StreamCatTools-0.11.0/StreamCatTools/MD5 | 38 ++- StreamCatTools-0.11.0/StreamCatTools/NAMESPACE | 3 StreamCatTools-0.11.0/StreamCatTools/NEWS.md | 14 + StreamCatTools-0.11.0/StreamCatTools/R/lc_get_data.R | 99 ++++------ StreamCatTools-0.11.0/StreamCatTools/R/lc_get_params.R | 9 StreamCatTools-0.11.0/StreamCatTools/R/lc_get_watershed.R |only StreamCatTools-0.11.0/StreamCatTools/R/sc_get_data.R | 7 StreamCatTools-0.11.0/StreamCatTools/R/sc_get_params.R | 9 StreamCatTools-0.11.0/StreamCatTools/R/sc_plot.R | 5 StreamCatTools-0.11.0/StreamCatTools/inst/doc/StartHere.html | 4 StreamCatTools-0.11.0/StreamCatTools/man/lc_get_nlcd.Rd | 32 +-- StreamCatTools-0.11.0/StreamCatTools/man/lc_get_watershed.Rd |only StreamCatTools-0.11.0/StreamCatTools/man/sc_get_data.Rd | 2 StreamCatTools-0.11.0/StreamCatTools/man/sc_get_nlcd.Rd | 4 StreamCatTools-0.11.0/StreamCatTools/tests/testthat/test-lc_get_watershed.R |only StreamCatTools-0.11.0/StreamCatTools/vignettes/Articles/Introduction.Rmd | 6 StreamCatTools-0.11.0/StreamCatTools/vignettes/Articles/LakeCat.Rmd | 47 ++++ StreamCatTools-0.11.0/StreamCatTools/vignettes/NNI.html |only StreamCatTools-0.11.0/StreamCatTools/vignettes/NNI_files |only 21 files changed, 179 insertions(+), 118 deletions(-)
More information about StreamCatTools at CRAN
Permanent link
Title: Optimum Threshold Estimation
Description: Functions that provide point and interval estimations of optimum thresholds for continuous diagnostic tests. The methodology used is based on minimizing an overall cost function in the two- and three-state settings. We also provide functions for sample size determination and estimation of diagnostic accuracy measures. We also include graphical tools. The statistical methodology used here can be found in Perez-Jaume et al (2017) <doi:10.18637/jss.v082.i04> and in Skaltsa et al (2010, 2012) <doi:10.1002/bimj.200900294>, <doi:10.1002/sim.4369>.
Author: Sara Perez-Jaume [aut, cre] ,
Natalia Pallares [aut] ,
Konstantina Skaltsa [aut]
Maintainer: Sara Perez-Jaume <spjaume@gmail.com>
Diff between ThresholdROC versions 2.9.5 dated 2025-08-21 and 2.9.6 dated 2026-05-14
ThresholdROC-2.9.5/ThresholdROC/data/AD.txt |only ThresholdROC-2.9.5/ThresholdROC/data/chemo.txt |only ThresholdROC-2.9.6/ThresholdROC/DESCRIPTION | 20 ++++++++------- ThresholdROC-2.9.6/ThresholdROC/MD5 | 12 ++++----- ThresholdROC-2.9.6/ThresholdROC/R/ThresholdROC-3states.R | 2 - ThresholdROC-2.9.6/ThresholdROC/data/AD.txt.gz |only ThresholdROC-2.9.6/ThresholdROC/data/chemo.txt.gz |only ThresholdROC-2.9.6/ThresholdROC/man/AD.Rd | 2 - ThresholdROC-2.9.6/ThresholdROC/man/chemo.Rd | 11 ++++++-- 9 files changed, 27 insertions(+), 20 deletions(-)
Title: Tidy Geospatial Networks
Description: Provides a tidy approach to spatial network
analysis, in the form of classes and functions that enable a seamless
interaction between the network analysis package 'tidygraph' and the
spatial analysis package 'sf'.
Author: Lucas van der Meer [aut, cre] ,
Lorena Abad [aut] ,
Andrea Gilardi [aut] ,
Robin Lovelace [aut]
Maintainer: Lucas van der Meer <luukvandermeer@live.nl>
Diff between sfnetworks versions 0.6.5 dated 2024-12-06 and 0.6.6 dated 2026-05-14
DESCRIPTION | 17 +++++---- MD5 | 32 ++++++++--------- NEWS.md | 6 +++ R/paths.R | 5 ++ README.md | 2 - build/vignette.rds |binary inst/doc/sfn01_structure.R | 2 + inst/doc/sfn01_structure.Rmd | 4 +- inst/doc/sfn01_structure.html | 46 +++++++++++++------------ inst/doc/sfn02_preprocess_clean.html | 63 +++++++++++++++++------------------ inst/doc/sfn03_join_filter.html | 37 ++++++++++---------- inst/doc/sfn04_routing.html | 27 +++++++-------- inst/doc/sfn05_morphers.R | 2 + inst/doc/sfn05_morphers.html | 23 ++++++------ man/reexports.Rd | 2 - man/sfnetworks-package.Rd | 1 vignettes/sfn01_structure.Rmd | 4 +- 17 files changed, 148 insertions(+), 125 deletions(-)
Title: Read and Write 'las' and 'laz' Binary File Formats Used for
Remote Sensing Data
Description: Read and write 'las' and 'laz' binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing <https://community.asprs.org/leadership-restricted/leadership-content/public-documents/standards>. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.4 <https://laszip.org/>.
Author: Jean-Romain Roussel [aut, cre, cph],
Florian De Boissieu [aut, ctb] ,
Martin Isenburg [cph] ,
David Auty [ctb] ,
Pierrick Marie [ctb] ,
Tiago de Conto [ctb]
Maintainer: Jean-Romain Roussel <info@r-lidar.com>
Diff between rlas versions 1.9.0 dated 2026-05-09 and 1.9.1 dated 2026-05-14
DESCRIPTION | 6 +- MD5 | 12 ++-- NEWS.md | 5 + src/LASzip/integercompressor.cpp | 24 ++++----- src/LASzip/lasreaditemcompressed_v3.cpp | 83 +++++++++++++++++++------------- src/LASzip/lasreaditemraw.hpp | 16 +++--- src/rlasstreamer.cpp | 3 - 7 files changed, 87 insertions(+), 62 deletions(-)
Title: Latent Variable Models
Description: A general implementation of Structural Equation Models
with latent variables (MLE, 2SLS, and composite likelihood
estimators) with both continuous, censored, and ordinal
outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>).
Mixture latent variable models and non-linear latent variable models
(Holst and Budtz-Joergensen (2020) <doi:10.1093/biostatistics/kxy082>).
The package also provides methods for graph exploration (d-separation,
back-door criterion), simulation of general non-linear latent variable
models, and estimation of influence functions for a broad range of
statistical models.
Author: Klaus K. Holst [aut, cre],
Benedikt Sommer [ctb],
Brice Ozenne [ctb],
Thomas Gerds [ctb]
Maintainer: Klaus K. Holst <klaus@holst.it>
Diff between lava versions 1.9.0 dated 2026-04-05 and 1.9.1 dated 2026-05-14
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Title: Family Age-at-Onset Data Simulation and Penetrance Estimation
Description: Simulates age-at-onset traits associated with a segregating major gene in family data
obtained from population-based, clinic-based, or multi-stage designs. Appropriate ascertainment
correction is utilized to estimate age-dependent penetrance functions either parametrically from
the fitted model or nonparametrically from the data. The Expectation and Maximization algorithm
can infer missing genotypes and carrier probabilities estimated from family's genotype and
phenotype information or from fitted models. Plot functions include pedigrees of simulated
families and predicted penetrance curves based on specified parameter values.
For more information see Choi, Y.-H., Briollais, L., He, W. and Kopciuk, K. (2021) FamEvent: An
R Package for Generating and Modeling Time-to-Event Data in Family Designs,
Journal of Statistical Software 97 (7), 1-30.
Author: Yun-Hee Choi [aut, cre],
Karen Kopciuk [aut],
Wenqing He [aut],
Laurent Briollais [aut]
Maintainer: Yun-Hee Choi <yun-hee.choi@schulich.uwo.ca>
Diff between FamEvent versions 3.2 dated 2024-07-02 and 3.3 dated 2026-05-14
FamEvent-3.2/FamEvent/R/cprob.r |only FamEvent-3.3/FamEvent/DESCRIPTION | 37 + FamEvent-3.3/FamEvent/MD5 | 64 +-- FamEvent-3.3/FamEvent/R/carrierprobgeno.R | 316 ++++++++-------- FamEvent-3.3/FamEvent/R/carrierprobpheno.R | 208 +++++----- FamEvent-3.3/FamEvent/R/cprob.R |only FamEvent-3.3/FamEvent/R/familyStructure.R | 18 FamEvent-3.3/FamEvent/R/loglik_frailty.R | 122 +++--- FamEvent-3.3/FamEvent/R/penmodel.R | 276 +++++++------ FamEvent-3.3/FamEvent/R/penmodelEM.R | 40 -- FamEvent-3.3/FamEvent/R/penplot.R | 50 +- FamEvent-3.3/FamEvent/R/plot.penmodel.R | 24 - FamEvent-3.3/FamEvent/R/simfam.R | 1 FamEvent-3.3/FamEvent/man/FamEvent-package.Rd | 97 ++-- FamEvent-3.3/FamEvent/man/carrierprob.Rd | 20 - FamEvent-3.3/FamEvent/man/penetrance.Rd | 21 - FamEvent-3.3/FamEvent/man/penetrance_cmp.Rd | 52 +- FamEvent-3.3/FamEvent/man/penmodel.Rd | 40 +- FamEvent-3.3/FamEvent/man/penmodelEM.Rd | 23 - FamEvent-3.3/FamEvent/man/penmodel_cmp.Rd | 55 +- FamEvent-3.3/FamEvent/man/penplot.Rd | 40 +- FamEvent-3.3/FamEvent/man/penplot_cmp.Rd | 45 +- FamEvent-3.3/FamEvent/man/plot.penmodel.Rd | 12 FamEvent-3.3/FamEvent/man/plot.penmodel_cmp.Rd | 14 FamEvent-3.3/FamEvent/man/plot.simfam.Rd | 5 FamEvent-3.3/FamEvent/man/print.summary.penmodel.Rd | 4 FamEvent-3.3/FamEvent/man/print.summary.penmodel_cmp.Rd | 4 FamEvent-3.3/FamEvent/man/simfam.Rd | 59 +- FamEvent-3.3/FamEvent/man/simfam2.Rd | 37 - FamEvent-3.3/FamEvent/man/simfam_cmp.Rd | 59 +- FamEvent-3.3/FamEvent/man/simfam_tvc.Rd | 62 +-- FamEvent-3.3/FamEvent/man/summary.penmodel.Rd | 10 FamEvent-3.3/FamEvent/man/summary.penmodel_cmp.Rd | 12 FamEvent-3.3/FamEvent/man/summary.simfam_tvc.Rd | 2 34 files changed, 969 insertions(+), 860 deletions(-)
Title: Statistical Analysis of Textual Data
Description: Provides a set of functions devoted to multivariate exploratory statistics on textual data. Classical methods such as correspondence analysis and agglomerative hierarchical clustering are available. Chronologically constrained agglomerative hierarchical clustering enriched with labelled-by-words trees is offered. Given a division of the corpus into parts, their characteristic words and documents are identified. Further, accessing to 'FactoMineR' functions is very easy. Two of them are relevant in textual domain. MFA() addresses multiple lexical table allowing applications such as dealing with multilingual corpora as well as simultaneously analyzing both open-ended and closed questions in surveys. See <http://xplortext.unileon.es> for examples.
Author: Ramon Alvarez-Esteban [aut, cre] ,
Monica Becue-Bertaut [aut] ,
Josep-Anton Sanchez-Espigares [ctb] ,
Belchin Adriyanov Kostov [ctb]
Maintainer: Ramon Alvarez-Esteban <ramon.alvarez@unileon.es>
Diff between Xplortext versions 1.5.5 dated 2024-11-13 and 1.6 dated 2026-05-14
DESCRIPTION | 33 +- MD5 | 42 +-- NAMESPACE | 9 R/LexCHCca.R | 148 ++++++++--- R/LexChar.R | 30 +- R/LexHCca.R | 352 +++++++++++++++++---------- R/plot.LexCA.R | 16 - R/plot.LexCHCca.R | 81 +++--- R/plot.LexChar.R | 15 + R/plot.LexHCca.R | 605 ++++++++++++++++++++++++++++++----------------- R/print.TextData.R | 57 ++-- R/summary.TextData.R | 52 ++-- build/partial.rdb |binary inst/CITATION | 2 inst/Xplortext.pdf |binary man/LexCHCca.Rd | 12 man/LexHCca.Rd | 10 man/Xplortext-package.Rd | 6 man/plot.LexCHCca.Rd | 3 man/plot.LexHCca.Rd | 7 man/print.TextData.Rd | 9 man/summary.TextData.Rd | 7 22 files changed, 966 insertions(+), 530 deletions(-)
Title: Correction of Preprocessed MS Data
Description: An 'R' implementation of the 'python' program Metabolomics Peak Analysis Computational Tool ('MPACT') (Robert M. Samples, Sara P. Puckett, and Marcy J. Balunas (2023) <doi:10.1021/acs.analchem.2c04632>). Filters in the package serve to address common errors in tandem mass spectrometry preprocessing, including: (1) isotopic patterns that are incorrectly split during preprocessing, (2) features present in solvent blanks due to carryover between samples, (3) features whose abundance is greater than user-defined abundance threshold in a specific group of samples, for example media blanks, (4) ions that are inconsistent between technical replicates, and (5) in-source fragment ions created during ionization before fragmentation in the tandem mass spectrometry workflow.
Author: Allison Mason [aut] ,
Gregory Johnson [aut] ,
Patrick Schloss [aut, cre, cph]
Maintainer: Patrick Schloss <pschloss@umich.edu>
Diff between mpactr versions 0.3.1 dated 2025-09-27 and 0.3.2 dated 2026-05-14
mpactr-0.3.1/mpactr/man/get_meta_data.Rd |only mpactr-0.3.2/mpactr/DESCRIPTION | 8 mpactr-0.3.2/mpactr/MD5 | 58 +- mpactr-0.3.2/mpactr/NAMESPACE | 2 mpactr-0.3.2/mpactr/NEWS.md | 5 mpactr-0.3.2/mpactr/R/filter_pactr-class.R | 14 mpactr-0.3.2/mpactr/R/filter_pactr-methods.R | 40 - mpactr-0.3.2/mpactr/R/import_data.R | 6 mpactr-0.3.2/mpactr/R/mpactr-accessors.R | 6 mpactr-0.3.2/mpactr/R/mpactr-class.R | 2 mpactr-0.3.2/mpactr/R/mpactr-methods.R | 2 mpactr-0.3.2/mpactr/build/partial.rdb |binary mpactr-0.3.2/mpactr/build/vignette.rds |binary mpactr-0.3.2/mpactr/inst/doc/downstream_analyses.R | 120 ++-- mpactr-0.3.2/mpactr/inst/doc/downstream_analyses.Rmd | 132 ++--- mpactr-0.3.2/mpactr/inst/doc/downstream_analyses.html | 263 +++------- mpactr-0.3.2/mpactr/inst/doc/mpactr.R | 2 mpactr-0.3.2/mpactr/inst/doc/mpactr.Rmd | 6 mpactr-0.3.2/mpactr/inst/doc/mpactr.html | 42 - mpactr-0.3.2/mpactr/inst/doc/reference_semantics.Rmd | 2 mpactr-0.3.2/mpactr/man/get_metadata.Rd |only mpactr-0.3.2/mpactr/src/CvFilter.cpp | 10 mpactr-0.3.2/mpactr/tests/testthat/exttestdata/102623_metadata_correct.csv | 2 mpactr-0.3.2/mpactr/tests/testthat/exttestdata/102623_metadata_simple.csv | 2 mpactr-0.3.2/mpactr/tests/testthat/test-filter_pactr-methods.R | 4 mpactr-0.3.2/mpactr/tests/testthat/test-filters.R | 6 mpactr-0.3.2/mpactr/tests/testthat/test-import_data.R | 4 mpactr-0.3.2/mpactr/tests/testthat/test-mpactr-accessors.R | 2 mpactr-0.3.2/mpactr/vignettes/downstream_analyses.Rmd | 132 ++--- mpactr-0.3.2/mpactr/vignettes/mpactr.Rmd | 6 mpactr-0.3.2/mpactr/vignettes/reference_semantics.Rmd | 2 31 files changed, 417 insertions(+), 463 deletions(-)
Title: Create Tibbles and Lists of 'ggplot' Figures for Reporting
Description: Create tibbles and lists of 'ggplot' figures that can be modified as easily as
regular 'ggplot' figures. Typical use cases are for creating reports or web
pages where many figures are needed with different data and similar
formatting.
Author: Bill Denney [aut, cre]
Maintainer: Bill Denney <wdenney@humanpredictions.com>
Diff between ggtibble versions 1.0.2 dated 2025-06-11 and 1.0.3 dated 2026-05-14
DESCRIPTION | 11 +-- MD5 | 41 ++++++----- NAMESPACE | 8 ++ NEWS.md | 24 ++++++ R/as_gglist.R |only R/gglist.R | 33 ++++++++- R/knitr_hook.R |only R/pagination.R |only README.md | 11 ++- build/vignette.rds |binary inst/WORDLIST | 4 + inst/doc/v01-introduction.R | 3 inst/doc/v01-introduction.Rmd | 17 ++++ inst/doc/v01-introduction.html | 109 +++++++++++++++++++++---------- man/as_gglist.Rd |only man/ggtibble-knitr-hook.Rd |only man/knit_print.gg.Rd | 8 +- man/knit_print.gglist.Rd | 135 +++++++++++++++++++++++---------------- man/new_gglist.Rd | 4 - man/new_ggtibble.Rd | 4 - man/reexports.Rd | 50 +++++++------- tests/testthat/test-gglist.R | 68 +++++++++++++++++++ tests/testthat/test-knitr_hook.R |only tests/testthat/test-pagination.R |only vignettes/v01-introduction.Rmd | 17 ++++ 25 files changed, 400 insertions(+), 147 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-04-01 0.1.1
2018-06-14 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-02-09 0.3-1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-10-30 1.1.0
2016-05-27 1.0-20160527
2015-04-16 1.0-20150416
2013-04-03 1.0-20130317
2012-08-20 0.99-20120820
2012-02-02 0.5-20120202
2011-08-12 0.5-20110804
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-04-21 0.2.3
2020-03-22 0.2.2
2020-02-20 0.2.1
2019-12-14 0.2.0
2019-10-09 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-03-19 1.0.3
2019-03-15 1.0.2
2019-03-13 1.0.1
2017-02-23 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-12-19 1.0.5
2019-03-22 1.0.4
2016-05-10 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-05-02 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-06-29 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-01-13 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-08-27 2.0.2.1
2020-06-16 2.0.2.0
2020-01-14 2.0.1.1
2019-12-06 2.0.1
2019-07-11 2.0.0
2019-06-04 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-07-09 0.4
2020-06-28 0.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-04-03 0.3.0
2018-10-31 0.2.0
2018-10-08 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-02-22 0.2.0
2019-07-12 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-11-11 1.1
2018-08-13 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-10-18 0.1.2
2020-02-03 0.1.1
2020-01-20 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-07-24 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-09-01 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-06-26 1.1
2020-01-30 1.0
2018-07-26 0.2
2017-09-27 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-10-16 1.2
2018-11-26 1.1
2018-11-19 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-08-07 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-08-26 1.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-03-19 1.2.1
2017-01-09 1.2.0
2016-12-02 1.1.1
2016-10-25 1.1.0
2016-08-25 1.0.0
Title: Power Calculation for Stepped Wedge Cluster Randomized Trials
Description: To meet the needs of statistical power calculation for stepped wedge cluster randomized trials, we developed this software. Different parameters can be specified by users for different scenarios, including: cross-sectional and cohort designs, binary and continuous outcomes, marginal (GEE) and conditional models (mixed effects model), three link functions (identity, log, logit links), with and without time effects (the default specification assumes no-time-effect) under exchangeable, nested exchangeable and block exchangeable correlation structures. Unequal numbers of clusters per sequence are also allowed. The methods included in this package: Zhou et al. (2020) <doi:10.1093/biostatistics/kxy031>, Li et al. (2018) <doi:10.1111/biom.12918>. Supplementary documents can be found at: <https://ysph.yale.edu/cmips/research/software/study-design-power-calculation/swdpwr/>. The Shiny app for swdpwr can be accessed at: <https://jiachenchen322.shinyapps.io/swdpwr_shinyapp/&g [...truncated...]
Author: Jiachen Chen [cre, aut],
Xin Zhou [aut],
Fan Li [aut],
Donna Spiegelman. [aut]
Maintainer: Jiachen Chen <jiachen.chen322@gmail.com>
Diff between swdpwr versions 1.11 dated 2024-10-07 and 1.12 dated 2026-05-14
DESCRIPTION | 8 ++++---- MD5 | 4 ++-- src/legendre_rule.f | 12 ++++++------ 3 files changed, 12 insertions(+), 12 deletions(-)
Title: Select Intervals Suited for Functional Regression
Description: Interval fusion and selection procedures for regression with
functional inputs. Methods include a semiparametric approach based
on Sliced Inverse Regression (SIR), as described in
<doi:10.1007/s11222-018-9806-6> (standard ridge and sparse SIR are
also included in the package) and a random forest based approach,
as described in <doi:10.1002/sam.11705>.
Author: Victor Picheny [aut] ,
Remi Servien [aut] ,
Nathalie Vialaneix [aut, cre]
Maintainer: Nathalie Vialaneix <nathalie.vialaneix@inrae.fr>
Diff between SISIR versions 0.2.3 dated 2024-08-16 and 0.2.4 dated 2026-05-14
DESCRIPTION | 36 ++++++++++++++++++++---------------- MD5 | 15 ++++++++------- NAMESPACE | 2 +- NEWS.md | 14 ++++++++++++++ R/SFCB.R | 7 +++++++ R/selection_methods.R | 8 ++++++-- README.md |only build/partial.rdb |binary tests/testthat/test_sfcb.R | 16 ++++++++++------ 9 files changed, 66 insertions(+), 32 deletions(-)
Title: Create Tests According to QTI 2.1 Standard
Description: Create tests and tasks compliant with the Question & Test Interoperability (QTI) information model version 2.1. Input sources are Rmd/md description files or S4-class objects. Output formats include standalone zip or xml files. Supports the generation of basic task types (single and multiple choice, order, pair association, matching tables, filling gaps and essay) and provides a comprehensive set of attributes for customizing tests.
Author: Andrey Shevandrin [aut, cre, cph] ,
Petr Bondarenko [ctb] ,
Ivonne Ojeda [ctb],
Johannes Titz [aut, cph] ,
Brian Mottershead [cph] ,
Stiftung fuer Innovation in der Hochschullehre [fnd]
Maintainer: Andrey Shevandrin <shevandrin@gmail.com>
Diff between rqti versions 1.2.0 dated 2026-05-10 and 1.2.1 dated 2026-05-14
rqti-1.2.0/rqti/inst/QTIJS/VENDOR_INFO |only rqti-1.2.0/rqti/inst/QTIJS/id_task_8635.xml |only rqti-1.2.0/rqti/inst/QTIJS/id_test_1681.xml |only rqti-1.2.0/rqti/inst/QTIJS/imsmanifest.xml |only rqti-1.2.1/rqti/DESCRIPTION | 6 +-- rqti-1.2.1/rqti/MD5 | 12 ++---- rqti-1.2.1/rqti/NEWS.md | 9 ++++ rqti-1.2.1/rqti/R/extract_results.R | 19 +++------- rqti-1.2.1/rqti/inst/QTIJS/qti.js | 52 ++++++++++++++++++---------- 9 files changed, 57 insertions(+), 41 deletions(-)
Title: Analysis of Geostatistical Data using Bayes and Empirical Bayes
Methods
Description: Functions to fit geostatistical data. The data can be
continuous, binary or count data and the models implemented are
flexible. Conjugate priors are assumed on some parameters while
inference on the other parameters can be done through a full
Bayesian analysis of by empirical Bayes methods.
Author: Evangelos Evangelou [aut, cre],
Vivekananda Roy [aut]
Maintainer: Evangelos Evangelou <e.evangelou@maths.bath.ac.uk>
Diff between geoBayes versions 0.7.5 dated 2026-01-26 and 0.7.6 dated 2026-05-14
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- NEWS | 3 +++ src/lbfgsbmod.f90 | 2 +- 4 files changed, 11 insertions(+), 8 deletions(-)
Title: Title: Scalable Statistical Computing with HDF5-Backed Matrices
Description: A framework for 'scalable' statistical computing on large on-disk
matrices stored in 'HDF5' files. It provides efficient block-wise
implementations of core linear-algebra operations (matrix multiplication,
SVD, PCA, QR decomposition, and canonical correlation analysis) written
in C++ and R. These building blocks are designed not only for direct use,
but also as foundational components for developing new statistical methods
that must operate on datasets too large to fit in memory. The package
supports data provided either as 'HDF5' files or standard R objects, and is
intended for high-dimensional applications such as 'omics' and
precision-medicine research.
Author: Dolors Pelegri-Siso [aut, cre] ,
Juan R. Gonzalez [aut]
Maintainer: Dolors Pelegri-Siso <dolors.pelegri@isglobal.org>
This is a re-admission after prior archival of version 1.0.3 dated 2025-12-22
Diff between BigDataStatMeth versions 1.0.3 dated 2025-12-22 and 2.0.0 dated 2026-05-14
BigDataStatMeth-1.0.3/BigDataStatMeth/inst/include/hdf5Utilities/hdf5RAII.hpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdBind_hdf5_datasets.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdCheckMatrix_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdCholesky_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdCorr_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdCreate_diagonal_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdCreate_hdf5_emptyDataset.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdCrossprod_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdDiag_add_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdDiag_divide_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdDiag_multiply_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdDiag_scalar_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdDiag_subtract_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdEigen_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdImputeSNPs_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdInvCholesky_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdIsLocked_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdNormalize_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdPCA_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdQR.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdQR_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdRemoveMAF_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdRemove_hdf5_element.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdRemovelowdata_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdSVD_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdSolve.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdSolve_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdSort_hdf5_dataset.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdSplit_matrix_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdWriteDiagonal_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdWriteOppsiteTriangularMatrix_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdblockSubstract_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdblockSum_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdblockmult_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdblockmult_sparse_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdcomputeMatrixVector_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdgetDiagonal_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdgetDim_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdgetSDandMean_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdsubset_hdf5_dataset.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/man/bdtCrossprod_hdf5.Rd |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_CholeskyDec.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_QRDecomposition.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_SVD.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_SolveEqation.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_bdPCA.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_bindDatasets.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_blockCrossprod.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_blockNormalization.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_blockSum.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_blockmult.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_blockmultSparse.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_blocksubstract.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_blocktCrossprod.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_createDiagonalDataset.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_createEmptyDataset.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_diagonalOperations.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_eigenDecomposition.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_fileLocked.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_getDatasetDimensions.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_getMatrixProperties.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_imputation.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_invCholesky.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_matrixCorrelation.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_matrixDiagonals.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_matrixSdMean.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_removeElement.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_removeLowData.cpp |only BigDataStatMeth-1.0.3/BigDataStatMeth/src/hdf5_removeMAF.cpp |only 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BigDataStatMeth-2.0.0/BigDataStatMeth/R/HDF5Matrix_op_pseudoinv.R |only BigDataStatMeth-2.0.0/BigDataStatMeth/R/HDF5Matrix_op_reduce_apply.R |only BigDataStatMeth-2.0.0/BigDataStatMeth/R/HDF5Matrix_op_sparse.R |only BigDataStatMeth-2.0.0/BigDataStatMeth/R/HDF5Matrix_op_split.R |only BigDataStatMeth-2.0.0/BigDataStatMeth/R/ImportData_hdf5.R | 32 BigDataStatMeth-2.0.0/BigDataStatMeth/R/RcppExports.R | 4420 ++-------- BigDataStatMeth-2.0.0/BigDataStatMeth/R/S3_aggregations.R |only BigDataStatMeth-2.0.0/BigDataStatMeth/R/S3_algebra.R |only BigDataStatMeth-2.0.0/BigDataStatMeth/R/S3_arithmetic.R |only BigDataStatMeth-2.0.0/BigDataStatMeth/R/S3_bind.R |only BigDataStatMeth-2.0.0/BigDataStatMeth/R/S3_conversion.R |only BigDataStatMeth-2.0.0/BigDataStatMeth/R/S3_core.R |only BigDataStatMeth-2.0.0/BigDataStatMeth/R/S3_correlation.R |only BigDataStatMeth-2.0.0/BigDataStatMeth/R/S3_decompositions.R |only BigDataStatMeth-2.0.0/BigDataStatMeth/R/S3_diagonal.R |only 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BigDataStatMeth-2.0.0/BigDataStatMeth/inst/include/hdf5Algebra/vectorOperations.hpp | 101 BigDataStatMeth-2.0.0/BigDataStatMeth/inst/include/hdf5Algebra/vectormatrix.hpp | 389 BigDataStatMeth-2.0.0/BigDataStatMeth/inst/include/hdf5Omics/hdf5RemoveMAF.hpp | 41 BigDataStatMeth-2.0.0/BigDataStatMeth/inst/include/hdf5Utilities/hdf5ApplytoDatasets.hpp | 131 BigDataStatMeth-2.0.0/BigDataStatMeth/inst/include/hdf5Utilities/hdf5BindDatasets.hpp | 78 BigDataStatMeth-2.0.0/BigDataStatMeth/inst/include/hdf5Utilities/hdf5CheckClose.hpp | 71 BigDataStatMeth-2.0.0/BigDataStatMeth/inst/include/hdf5Utilities/hdf5Datasets.hpp | 586 + BigDataStatMeth-2.0.0/BigDataStatMeth/inst/include/hdf5Utilities/hdf5DatasetsInternal.hpp | 117 BigDataStatMeth-2.0.0/BigDataStatMeth/inst/include/hdf5Utilities/hdf5Diagonal.hpp | 21 BigDataStatMeth-2.0.0/BigDataStatMeth/inst/include/hdf5Utilities/hdf5DiagonalMethods.hpp | 226 BigDataStatMeth-2.0.0/BigDataStatMeth/inst/include/hdf5Utilities/hdf5Dims.hpp | 168 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BigDataStatMeth-2.0.0/BigDataStatMeth/inst/include/hdf5Utilities/hdf5Utilities.hpp | 90 BigDataStatMeth-2.0.0/BigDataStatMeth/inst/include/memAlgebra/memMultiplication.hpp | 15 BigDataStatMeth-2.0.0/BigDataStatMeth/inst/include/memAlgebra/memSubstract.hpp | 16 BigDataStatMeth-2.0.0/BigDataStatMeth/inst/include/memAlgebra/memSum.hpp | 16 BigDataStatMeth-2.0.0/BigDataStatMeth/man/BigDataStatMeth.Rd | 115 BigDataStatMeth-2.0.0/BigDataStatMeth/man/HDF5Matrix-S3.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/HDF5Matrix-scalar-aggregations.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/Ops.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/apply_function.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/as.data.frame.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/as.matrix.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/bdCorr_matrix.Rd | 30 BigDataStatMeth-2.0.0/BigDataStatMeth/man/bdCreate_hdf5_group.Rd | 17 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BigDataStatMeth-2.0.0/BigDataStatMeth/man/diag_op.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/diag_scale.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/dim.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/dimnames-set-.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/dimnames.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/dot-get_option.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/dot-hdf5matrix_options.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/dot-onUnload.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/eigen.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/filter_low_coverage.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/filter_maf.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/get_available_ram.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/get_cpu_cores.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/get_memory_thresholds.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/get_recommended_threads.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/get_total_ram.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/hdf5_apply.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/hdf5_close_all.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/hdf5_close_file.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/hdf5_create_matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/hdf5_import.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/hdf5_import_multiple.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/hdf5_matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/hdf5_reduce.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/hdf5matrix_options.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/impute_snps.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/is_open.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/length.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/list_datasets.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/matmul.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/memory_info.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/multiply_sparse.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/multiply_sparse.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/object_size.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/prcomp.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/print.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/print.HDF5PCA.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/pseudoinverse.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/qr.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/qr.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rbind.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5_close_all_file_handles.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5_close_all_registry.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5_close_at_paths.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5_close_file_handles.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5_close_file_handles_safe.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5_create_matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_add.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_close.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_colMaxs.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_colMeans.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_colMins.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_colSds.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_colSums.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_colVars.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_crossprod.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_dim.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_div_ew.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_info.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_is_valid.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_mul_ew.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_multiply.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_open.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_read_all.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_read_dimnames.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_rowMaxs.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_rowMeans.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_rowMins.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_rowSds.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_rowSums.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_rowVars.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_scalar_max.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_scalar_mean.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_scalar_min.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_scalar_sd.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_scalar_sum.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_scalar_var.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_subset.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_subtract.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_tcrossprod.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_write_all.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_write_block.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/rcpp_hdf5dataset_write_dimnames.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/reduce.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/scale.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/sd.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/show_hdf5matrix_options.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/solve.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/split.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/split_dataset.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/str.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/sub-.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/subset-.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/svd.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/svd.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/sweep.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/sweep.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/system_info.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/tcrossprod.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/man/var.HDF5Matrix.Rd |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/Makevars.win | 21 BigDataStatMeth-2.0.0/BigDataStatMeth/src/RcppExports.cpp | 1464 ++- BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_applyFunction.cpp | 183 BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_createGroup.cpp | 40 BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_createMatrix.cpp | 46 BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_getDatasetList.cpp | 86 BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_importFile.cpp | 63 BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_moveDataset.cpp | 76 BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_pseudoinverse.cpp | 74 BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_aggregations.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_arithmetic.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_bind.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_cholesky.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_correlation.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_eigen.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_matvec.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_minimal.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_multiply.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_normalize.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_omics.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_pca.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_pseudoinv.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_qr.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_reduce_apply.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_sparse.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_split.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_subset.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_svd.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_r6_write.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_reduceDataset.cpp | 48 BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_systemInfo.cpp |only BigDataStatMeth-2.0.0/BigDataStatMeth/src/hdf5_writeDimnames.cpp | 51 BigDataStatMeth-2.0.0/BigDataStatMeth/src/mem_blockmult.cpp | 7 BigDataStatMeth-2.0.0/BigDataStatMeth/src/mem_blocksubstract.cpp | 5 BigDataStatMeth-2.0.0/BigDataStatMeth/src/mem_blocksum.cpp | 5 BigDataStatMeth-2.0.0/BigDataStatMeth/src/mem_correlation.cpp | 38 BigDataStatMeth-2.0.0/BigDataStatMeth/src/mem_crossprod.cpp | 26 BigDataStatMeth-2.0.0/BigDataStatMeth/src/mem_scalarprod.cpp | 4 BigDataStatMeth-2.0.0/BigDataStatMeth/src/mem_tcrossprod.cpp | 27 BigDataStatMeth-2.0.0/BigDataStatMeth/vignettes/BigDataStatMeth.Rmd | 1404 +-- 371 files changed, 10171 insertions(+), 10244 deletions(-)
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2020-02-28 0.4
Title: Local Randomization Methods for RD Designs
Description: Provides tools to perform randomization inference for RD designs under local randomization: rdrandinf() to perform hypothesis testing using randomization inference, rdwinselect() to select a window around the cutoff in which randomization is likely to hold, rdsensitivity() to assess the sensitivity of the results to different window lengths and null hypotheses and rdrbounds() to construct Rosenbaum bounds for sensitivity to unobserved confounders. See Cattaneo, Titiunik and Vazquez-Bare (2016) <https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2016_Stata.pdf> for further methodological details, and references.
Author: Matias D. Cattaneo [aut, cre],
Rocio Titiunik [aut],
Gonzalo Vazquez-Bare [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>
Diff between rdlocrand versions 1.1 dated 2025-05-22 and 2.0 dated 2026-05-14
DESCRIPTION | 32 - MD5 | 26 NAMESPACE | 1 R/rdlocrand_fun.R | 845 +++++++++++++++------------- R/rdlocrand_package.R | 114 +-- R/rdrandinf.R | 1413 +++++++++++++++++++++++------------------------ R/rdrbounds.R | 862 +++++++++++++++------------- R/rdsensitivity.R | 498 ++++++++-------- R/rdwinselect.R | 1261 +++++++++++++++++++++-------------------- man/rdlocrand-package.Rd | 32 - man/rdrandinf.Rd | 66 +- man/rdrbounds.Rd | 39 - man/rdsensitivity.Rd | 46 - man/rdwinselect.Rd | 62 +- 14 files changed, 2768 insertions(+), 2529 deletions(-)
Title: Bayesian Predictive Stacking for Scalable Geospatial Transfer
Learning
Description: Provides functions for Bayesian Predictive Stacking within the Bayesian transfer learning framework for geospatial artificial systems, as introduced in "Bayesian Transfer Learning for Artificially Intelligent Geospatial Systems: A Predictive Stacking Approach" (Presicce and Banerjee, 2025) <doi:10.48550/arXiv.2410.09504>. This methodology enables efficient Bayesian geostatistical modeling, utilizing predictive stacking to improve inference across spatial datasets. The core functions leverage 'C++' for high-performance computation, making the framework well-suited for large-scale spatial data analysis in parallel and distributed computing environments. Designed for scalability, it allows seamless application in computationally demanding scenarios.
Author: Luca Presicce [aut, cre] ,
Sudipto Banerjee [aut]
Maintainer: Luca Presicce <l.presicce@campus.unimib.it>
Diff between spBPS versions 1.0-1 dated 2026-03-19 and 2.0-1 dated 2026-05-14
DESCRIPTION | 6 MD5 | 31 ++- NAMESPACE | 4 R/RcppExports.R | 80 +++++++++ R/predict_spBPS_new.R |only R/print_methods_spBPS.R |only R/spBPS.R | 27 +-- R/spBPS_new.R |only inst/doc/tutorial.R | 8 inst/doc/tutorial.Rmd | 10 - inst/doc/tutorial.html | 23 +- man/predict.spBPS.Rd |only man/spBPS.Rd | 101 +++++++----- man/spBPS_old.Rd |only src/RcppExports.cpp | 290 ++++++++++++++++++++++++++++++++++ src/code_new.cpp |only src/code_new.h |only src/random_utils.cpp | 398 ++++++++++++++++++++++++++---------------------- src/random_utils.h | 3 vignettes/tutorial.Rmd | 10 - 20 files changed, 716 insertions(+), 275 deletions(-)
Title: Retrieve, Harmonise and Map Open Data Regarding the Italian
School System
Description: Compiles and displays the available data sets regarding the Italian school system, with a focus on the infrastructural aspects.
Input datasets are downloaded from the web, with the aim of updating everything to real time.
The functions are divided in four main modules, namely
'Get', to scrape raw data from the web
'Util', various utilities needed to process raw data
'Group', to aggregate data at the municipality or province level
'Map', to visualize the output datasets.
Author: Leonardo Cefalo [aut, cre] ,
Alessio Pollice [ctb, ths] ,
Paolo Maranzano [ctb]
Maintainer: Leonardo Cefalo <leonardo.cefalo@uniba.it>
Diff between SchoolDataIT versions 0.2.12 dated 2025-12-17 and 0.2.13 dated 2026-05-14
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ NEWS.md | 7 +++++++ R/Get_DB_MIUR.R | 9 +++------ R/Get_Invalsi_IS.R | 3 +-- R/Get_Shapefile.R | 2 +- README.md | 3 +-- 7 files changed, 22 insertions(+), 20 deletions(-)
Title: Resolution, Conversion, Linking and Metadata for Scholarly
Identifiers
Description: Enables querying of scholarly identifier services to
verify identifier existence, convert identifiers across systems,
retrieve bibliographic metadata, and discover linked identifiers.
Supports common identifier types including DOI, PMID, PMCID,
arXiv, and ORCID.
Author: Thomas Rauter [aut, cre, fnd]
Maintainer: Thomas Rauter <rauterthomas0@gmail.com>
Diff between scholidonline versions 0.1.0 dated 2026-04-07 and 0.1.1 dated 2026-05-14
DESCRIPTION | 6 MD5 | 78 NEWS.md | 9 R/dispatchers_convert.R | 374 +++ R/dispatchers_exists.R | 185 + R/dispatchers_link.R | 236 ++ R/dispatchers_metadata.R | 310 +++ R/engine_binary.R | 174 + R/engine_unary.R | 175 + R/http-wrappers.R | 38 R/id_exists.R | 7 R/id_links.R | 7 R/id_metadata.R | 11 R/provider_arxiv_helpers.R |only R/provider_epmc_helpers.R |only R/provider_helpers.R | 16 R/providers_ncbi.R | 1237 ++++++++++++- R/providers_ncbi_helpers.R |only README.md | 8 build/vignette.rds |binary inst/WORDLIST | 1 inst/doc/batching_and_throttling.R |only inst/doc/batching_and_throttling.Rmd |only inst/doc/batching_and_throttling.html |only man/id_metadata.Rd | 4 tests/testthat/helpers.R | 44 tests/testthat/test-dispatchers_convert_batch-offline.R |only tests/testthat/test-engine_binary-offline.R | 4 tests/testthat/test-engine_unary-offline.R | 103 - tests/testthat/test-http_wrappers-offline.R |only tests/testthat/test-id_convert-ncbi-batch-offline.R |only tests/testthat/test-id_convert-ncbi-batch-online.R |only tests/testthat/test-id_exists-ncbi-batch-offline.R |only tests/testthat/test-id_exists-ncbi-batch-online.R |only tests/testthat/test-id_exists-offline.R | 27 tests/testthat/test-id_exists-online.R | 114 - tests/testthat/test-id_links-arxiv-batch-offline.R |only tests/testthat/test-id_links-arxiv-batch-online.R |only tests/testthat/test-id_links-ncbi-batch-offline.R |only tests/testthat/test-id_links-ncbi-batch-online.R |only tests/testthat/test-id_metadata-arxiv-batch-offline.R |only tests/testthat/test-id_metadata-arxiv-batch-online.R |only tests/testthat/test-id_metadata-ncbi-batch-offline.R |only tests/testthat/test-id_metadata-ncbi-batch-online.R |only tests/testthat/test-provider_arxiv_helpers-offline.R |only tests/testthat/test-provider_arxiv_helpers-online.R |only tests/testthat/test-provider_arxiv_parse_batch-offline.R |only tests/testthat/test-provider_arxiv_query_batch-offline.R |only tests/testthat/test-provider_epmc_rate_limit-offline.R |only tests/testthat/test-provider_ncbi_convert_batch-offline.R |only tests/testthat/test-provider_ncbi_exists_batch-offline.R |only tests/testthat/test-provider_ncbi_links_batch-offline.R |only tests/testthat/test-provider_ncbi_metadata_batch-offline.R |only tests/testthat/test-provider_ncbi_rate_limit-offline.R |only tests/testthat/test-provider_ncbi_warnings-offline.R |only vignettes/batching_and_throttling.Rmd |only 56 files changed, 3013 insertions(+), 155 deletions(-)
Title: Bayesian Dynamic Borrowing Analysis and Simulation
Description: Bayesian dynamic borrowing is an approach to incorporating external
data to supplement a randomized, controlled trial analysis in which
external data are incorporated in a dynamic way (e.g., based on similarity
of outcomes); see Viele 2013 <doi:10.1002/pst.1589> for an overview.
This package implements the hierarchical commensurate prior approach to dynamic borrowing
as described in Hobbes 2011 <doi:10.1111/j.1541-0420.2011.01564.x>.
There are three main functionalities. First, 'psborrow2' provides a user-friendly
interface for applying dynamic borrowing on the study results handles the Markov Chain
Monte Carlo sampling on behalf of the user. Second, 'psborrow2' provides a
simulation framework to compare different borrowing parameters (e.g. full borrowing, no
borrowing, dynamic borrowing) and other trial and borrowing characteristics
(e.g. sample size, covariates) in a unified way. Third, 'psborrow2' provides
a set of functions to generate data for simulation studies, and a [...truncated...]
Author: Matt Secrest [aut, cre] ,
Isaac Gravestock [aut],
Craig Gower-Page [ctb],
Manoj Khanal [ctb],
Mingyang Shan [ctb],
Kexin Jin [ctb],
Zhi Yang [ctb],
Genentech, Inc. [cph, fnd]
Maintainer: Matt Secrest <secrestm@gene.com>
Diff between psborrow2 versions 0.0.5.0 dated 2026-05-11 and 0.0.5.1 dated 2026-05-14
DESCRIPTION | 6 MD5 | 52 inst/doc/match_weight_01_methods.Rmd | 628 ++- inst/doc/match_weight_01_methods.html | 1678 +++++++--- inst/doc/match_weight_02_application.Rmd | 175 - inst/doc/match_weight_02_application.html | 332 + inst/doc/propensity_scores.Rmd | 186 - inst/doc/propensity_scores.html | 276 + inst/doc/simple_overview.Rmd | 68 inst/doc/simple_overview.html | 70 inst/doc/weighting.Rmd | 98 inst/doc/weighting.html | 448 ++ vignettes/figure-match_weight_01_methods-unnamed-chunk-28-1.png |only vignettes/figure-match_weight_01_methods-unnamed-chunk-62-1.png |only vignettes/figure-match_weight_01_methods-unnamed-chunk-67-1.png |only vignettes/figure-match_weight_02_application-unnamed-chunk-31-1.png |only vignettes/figure-match_weight_02_application-unnamed-chunk-32-1.png |only vignettes/figure-match_weight_02_application-unnamed-chunk-32-2.png |only vignettes/figure-match_weight_02_application-unnamed-chunk-42-1.png |only vignettes/figure-match_weight_02_application-unnamed-chunk-43-1.png |only vignettes/figure-match_weight_02_application-unnamed-chunk-44-1.png |only vignettes/figure-match_weight_02_application-unnamed-chunk-44-2.png |only vignettes/figure-match_weight_02_application-unnamed-chunk-44-3.png |only vignettes/figure-match_weight_02_application-unnamed-chunk-44-4.png |only vignettes/figure-propensity_scores-balplot-1.png |only vignettes/figure-propensity_scores-loveplot-1.png |only vignettes/figure-propensity_scores-matchit_jitter-1.png |only vignettes/figure-propensity_scores-plots-1.png |only vignettes/figure-simple_overview-unnamed-chunk-18-1.png |binary vignettes/figure-weighting-exp_plot-1.png |only vignettes/figure-weighting-logistic_plot-1.png |only vignettes/match_weight_01_methods.Rmd | 628 ++- vignettes/match_weight_02_application.Rmd | 175 - vignettes/propensity_scores.Rmd | 186 - vignettes/simple_overview.Rmd | 68 vignettes/weighting.Rmd | 98 36 files changed, 3599 insertions(+), 1573 deletions(-)
Title: Parallel GLM
Description: Provides a parallel estimation method for generalized linear
models without compiling with a multithreaded LAPACK or BLAS.
Author: Benjamin Christoffersen [aut] ,
Anthony Williams [cph],
Boost developers [cph],
Tom Palmer [aut, cre]
Maintainer: Tom Palmer <remlapmot@hotmail.com>
Diff between parglm versions 0.1.9 dated 2026-05-12 and 0.1.9-1 dated 2026-05-14
DESCRIPTION | 6 +++--- MD5 | 18 +++++++++--------- NEWS.md | 4 ++++ R/parglm.R | 6 +++--- inst/doc/parglm.Rmd | 6 +++--- inst/doc/parglm.html | 21 +++++++++------------ man/parglm.control.Rd | 6 +++--- src/thread_pool.h | 1 + vignettes/parglm.Rmd | 6 +++--- vignettes/parglm.Rmd.orig | 6 +++--- 10 files changed, 41 insertions(+), 39 deletions(-)
Title: Toolkit for Encryption, Signatures and Certificates Based on
OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH key parsers.
Supports RSA, DSA and EC curves P-256, P-384, P-521, and curve25519. Cryptographic
signatures can either be created and verified manually or via x509 certificates.
AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric
(public key) encryption or EC for Diffie Hellman. High-level envelope functions
combine RSA and AES for encrypting arbitrary sized data. Other utilities include key
generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random
number generator, and 'bignum' math methods for manually performing crypto
calculations on large multibyte integers.
Author: Jeroen Ooms [aut, cre] ,
Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>
Diff between openssl versions 2.4.0 dated 2026-04-15 and 2.4.1 dated 2026-05-14
DESCRIPTION | 6 ++--- MD5 | 16 +++++++------- NEWS | 3 ++ build/vignette.rds |binary inst/doc/bignum.html | 32 ++++++++++++++-------------- inst/doc/crypto_hashing.html | 10 ++++---- inst/doc/keys.html | 48 +++++++++++++++++++++---------------------- inst/doc/secure_rng.html | 18 ++++++++-------- src/Makevars.win | 4 +-- 9 files changed, 70 insertions(+), 67 deletions(-)
Title: The NAEP Primer
Description: Contains a sample of the 2005 Grade 8 Mathematics data from the National Assessment of Educational Progress (NAEP). This data set is called the NAEP Primer.
Author: Paul Bailey [aut] ,
Michael Lee [aut] ,
Brian Cramer [cre, pdr]
Maintainer: Brian Cramer <Brian.Cramer@ed.gov>
Diff between NAEPprimer versions 1.0.1 dated 2016-04-27 and 1.0.2 dated 2026-05-14
DESCRIPTION | 23 +++++++++++++++-------- MD5 | 4 ++-- man/M36NT2PM.dat.Rd | 2 +- 3 files changed, 18 insertions(+), 11 deletions(-)
Title: Mutation Testing
Description: Measure quality of your tests.
'muttest' introduces small changes (mutations) to your code
and runs your tests to check if they catch the changes.
If they do, your tests are good.
If not, your assertions are not specific enough.
'muttest' gives you percent score of how often your tests catch the changes.
Author: Jakub Sobolewski [aut, cre]
Maintainer: Jakub Sobolewski <jakupsob@gmail.com>
Diff between muttest versions 0.1.0 dated 2025-05-30 and 0.2.0 dated 2026-05-14
muttest-0.1.0/muttest/man/plan.Rd |only muttest-0.2.0/muttest/DESCRIPTION | 19 muttest-0.2.0/muttest/MD5 | 183 ++++++- muttest-0.2.0/muttest/NAMESPACE | 29 + muttest-0.2.0/muttest/NEWS.md | 31 + muttest-0.2.0/muttest/R/constants.R |only muttest-0.2.0/muttest/R/mutator-boolean.R |only muttest-0.2.0/muttest/R/mutator-call.R |only muttest-0.2.0/muttest/R/mutator-condition.R |only muttest-0.2.0/muttest/R/mutator-index.R |only muttest-0.2.0/muttest/R/mutator-na.R |only muttest-0.2.0/muttest/R/mutator-numeric.R |only muttest-0.2.0/muttest/R/mutator-operator.R | 100 ++- muttest-0.2.0/muttest/R/mutator-presets.R |only muttest-0.2.0/muttest/R/mutator-return.R |only muttest-0.2.0/muttest/R/mutator-statement.R |only muttest-0.2.0/muttest/R/mutator-string.R |only muttest-0.2.0/muttest/R/mutator-unary.R |only muttest-0.2.0/muttest/R/mutator.R |only muttest-0.2.0/muttest/R/muttest.R | 260 +++++++--- muttest-0.2.0/muttest/R/project_copy_strategy.R | 4 muttest-0.2.0/muttest/R/reporter-progress.R | 127 ++++ muttest-0.2.0/muttest/R/reporter.R | 34 - muttest-0.2.0/muttest/R/test_strategy.R | 6 muttest-0.2.0/muttest/README.md | 214 ++++++-- muttest-0.2.0/muttest/build |only muttest-0.2.0/muttest/inst/WORDLIST |only muttest-0.2.0/muttest/inst/badge-logo.svg |only muttest-0.2.0/muttest/inst/badge-na.json |only muttest-0.2.0/muttest/inst/doc |only muttest-0.2.0/muttest/inst/examples/access |only muttest-0.2.0/muttest/inst/examples/boolean |only muttest-0.2.0/muttest/inst/examples/boundary |only muttest-0.2.0/muttest/inst/examples/calls |only muttest-0.2.0/muttest/inst/examples/conditions |only muttest-0.2.0/muttest/inst/examples/mad |only muttest-0.2.0/muttest/inst/examples/operators/R/calculate.R | 2 muttest-0.2.0/muttest/inst/examples/operators/README.md |only muttest-0.2.0/muttest/inst/examples/operators/plan.R |only muttest-0.2.0/muttest/inst/examples/operators/tests/testthat-fix |only muttest-0.2.0/muttest/inst/examples/operators/tests/testthat/test-calculate.R | 8 muttest-0.2.0/muttest/inst/examples/shipping |only muttest-0.2.0/muttest/inst/examples/strings |only muttest-0.2.0/muttest/man/FileTestStrategy.Rd | 2 muttest-0.2.0/muttest/man/FullTestStrategy.Rd | 2 muttest-0.2.0/muttest/man/MutationReporter.Rd | 38 + muttest-0.2.0/muttest/man/Mutator.Rd |only muttest-0.2.0/muttest/man/ProgressMutationReporter.Rd | 39 + muttest-0.2.0/muttest/man/TestStrategy.Rd | 2 muttest-0.2.0/muttest/man/arithmetic_operators.Rd |only muttest-0.2.0/muttest/man/boolean_literal.Rd |only muttest-0.2.0/muttest/man/boolean_literals.Rd |only muttest-0.2.0/muttest/man/call_name.Rd |only muttest-0.2.0/muttest/man/comparison_operators.Rd |only muttest-0.2.0/muttest/man/condition_mutations.Rd |only muttest-0.2.0/muttest/man/delete_statement.Rd |only muttest-0.2.0/muttest/man/index_decrement.Rd |only muttest-0.2.0/muttest/man/index_increment.Rd |only muttest-0.2.0/muttest/man/index_mutations.Rd |only muttest-0.2.0/muttest/man/logical_operators.Rd |only muttest-0.2.0/muttest/man/muttest.Rd | 15 muttest-0.2.0/muttest/man/muttest_plan.Rd |only muttest-0.2.0/muttest/man/na_literal.Rd |only muttest-0.2.0/muttest/man/na_literals.Rd |only muttest-0.2.0/muttest/man/negate_condition.Rd |only muttest-0.2.0/muttest/man/numeric_decrement.Rd |only muttest-0.2.0/muttest/man/numeric_increment.Rd |only muttest-0.2.0/muttest/man/numeric_literals.Rd |only muttest-0.2.0/muttest/man/operator.Rd | 32 - muttest-0.2.0/muttest/man/remove_condition_negation.Rd |only muttest-0.2.0/muttest/man/remove_negation.Rd |only muttest-0.2.0/muttest/man/replace_return_value.Rd |only muttest-0.2.0/muttest/man/string_empty.Rd |only muttest-0.2.0/muttest/man/string_fill.Rd |only muttest-0.2.0/muttest/man/string_literals.Rd |only muttest-0.2.0/muttest/tests/acceptance/setup-steps.R | 2 muttest-0.2.0/muttest/tests/acceptance/test_box.feature | 4 muttest-0.2.0/muttest/tests/acceptance/test_mutators.feature |only muttest-0.2.0/muttest/tests/acceptance/test_package.feature | 12 muttest-0.2.0/muttest/tests/acceptance/test_repo.feature | 6 muttest-0.2.0/muttest/tests/testthat/_snaps |only muttest-0.2.0/muttest/tests/testthat/setup-expect.R |only muttest-0.2.0/muttest/tests/testthat/setup.R |only muttest-0.2.0/muttest/tests/testthat/test-mutator-boolean.R |only muttest-0.2.0/muttest/tests/testthat/test-mutator-call.R |only muttest-0.2.0/muttest/tests/testthat/test-mutator-condition.R |only muttest-0.2.0/muttest/tests/testthat/test-mutator-index.R |only muttest-0.2.0/muttest/tests/testthat/test-mutator-na.R |only muttest-0.2.0/muttest/tests/testthat/test-mutator-numeric.R |only muttest-0.2.0/muttest/tests/testthat/test-mutator-operator.R | 35 - muttest-0.2.0/muttest/tests/testthat/test-mutator-presets.R |only muttest-0.2.0/muttest/tests/testthat/test-mutator-return.R |only muttest-0.2.0/muttest/tests/testthat/test-mutator-statement.R |only muttest-0.2.0/muttest/tests/testthat/test-mutator-string.R |only muttest-0.2.0/muttest/tests/testthat/test-mutator-unary.R |only muttest-0.2.0/muttest/tests/testthat/test-muttest.R | 74 ++ muttest-0.2.0/muttest/tests/testthat/test-parallel.R |only muttest-0.2.0/muttest/tests/testthat/test-test_reporter-progress.R |only muttest-0.2.0/muttest/vignettes |only 99 files changed, 962 insertions(+), 318 deletions(-)
Title: Multi-Objective Clustering Algorithm Guided by a-Priori
Biological Knowledge
Description: Implements the Multi-Objective Clustering Algorithm Guided
by a-Priori Biological Knowledge ('MOC-GaPBK') proposed by
Parraga-Alava and others (2018) <doi:10.1186/s13040-018-0178-4>.
The algorithm performs gene clustering using 'NSGA-II' as the
underlying multi-objective evolutionary engine, together with
Path-Relinking and Pareto Local Search as intensification and
diversification strategies. Two versions of the Xie-Beni validity
index are used as objective functions, one per distance matrix,
so that prior biological knowledge can be incorporated through
the second matrix.
Author: Jorge Parraga-Alava [aut, cre, cph] ,
Marcio Dorn [aut],
Mario Inostroza-Ponta [aut]
Maintainer: Jorge Parraga-Alava <jorge.parraga@utm.edu.ec>
Diff between moc.gapbk versions 0.1.3 dated 2024-08-29 and 0.2.1 dated 2026-05-14
moc.gapbk-0.1.3/moc.gapbk/R/main.R |only moc.gapbk-0.1.3/moc.gapbk/man/moc.gabk.Rd |only moc.gapbk-0.2.1/moc.gapbk/DESCRIPTION | 48 ++++++++++++++------- moc.gapbk-0.2.1/moc.gapbk/MD5 | 31 +++++++++++-- moc.gapbk-0.2.1/moc.gapbk/NAMESPACE | 14 ++---- moc.gapbk-0.2.1/moc.gapbk/NEWS.md |only moc.gapbk-0.2.1/moc.gapbk/R/genetic-ops.R |only moc.gapbk-0.2.1/moc.gapbk/R/groups.R |only moc.gapbk-0.2.1/moc.gapbk/R/moc-gapbk.R |only moc.gapbk-0.2.1/moc.gapbk/R/moc.gapbk-package.R |only moc.gapbk-0.2.1/moc.gapbk/R/objectives.R |only moc.gapbk-0.2.1/moc.gapbk/R/pareto-local-search.R |only moc.gapbk-0.2.1/moc.gapbk/R/path-relinking.R |only moc.gapbk-0.2.1/moc.gapbk/R/population.R |only moc.gapbk-0.2.1/moc.gapbk/R/results.R |only moc.gapbk-0.2.1/moc.gapbk/README.md |only moc.gapbk-0.2.1/moc.gapbk/build |only moc.gapbk-0.2.1/moc.gapbk/inst |only moc.gapbk-0.2.1/moc.gapbk/man/figures |only moc.gapbk-0.2.1/moc.gapbk/man/moc.gapbk-package.Rd |only moc.gapbk-0.2.1/moc.gapbk/man/moc.gapbk.Rd |only moc.gapbk-0.2.1/moc.gapbk/tests |only moc.gapbk-0.2.1/moc.gapbk/vignettes |only 23 files changed, 66 insertions(+), 27 deletions(-)
Title: Microbial Community Ecology Data Analysis
Description: A series of data analysis approaches for microbiome omics data based on the R6 class. The classes are designed for data preprocessing, taxa abundance plotting, alpha diversity analysis, beta diversity analysis, differential abundance test, null model analysis, network analysis, machine learning, environmental data analysis and functional analysis.
Author: Chi Liu [aut, cre],
Felipe R. P. Mansoldo [ctb],
Minjie Yao [ctb],
Xiangzhen Li [ctb]
Maintainer: Chi Liu <liuchi0426@126.com>
Diff between microeco versions 2.1.0 dated 2026-04-10 and 2.2.0 dated 2026-05-14
DESCRIPTION | 8 MD5 | 26 +- R/trans_abund.R | 6 R/trans_alpha.R | 7 R/trans_beta.R | 12 - R/trans_diff.R | 9 R/trans_metab.R | 541 +++++++++++++++++++++++++++++++++++++++++++++++++++-- R/trans_network.R | 2 R/utility.R | 11 + inst/CITATION | 7 man/trans_abund.Rd | 2 man/trans_beta.Rd | 9 man/trans_diff.Rd | 6 man/trans_metab.Rd | 242 +++++++++++++++++++++++ 14 files changed, 839 insertions(+), 49 deletions(-)
Title: IMAGing engINEs, Tools for Application of Image Filters to Data
Matrices
Description: Provides fast application of image filters to data matrices,
using R and C++ algorithms.
Author: Wencheng Lau-Medrano [aut, cre]
Maintainer: Wencheng Lau-Medrano <luis.laum@protonmail.com>
Diff between imagine versions 2.1.3 dated 2025-10-27 and 2.1.4 dated 2026-05-14
imagine-2.1.3/imagine/inst/doc/imagine-intro.R |only imagine-2.1.3/imagine/inst/doc/imagine-intro.Rmd |only imagine-2.1.3/imagine/inst/doc/imagine-intro.html |only imagine-2.1.3/imagine/vignettes/imagine-intro.Rmd |only imagine-2.1.4/imagine/DESCRIPTION | 22 ++-- imagine-2.1.4/imagine/MD5 | 26 ++--- imagine-2.1.4/imagine/NAMESPACE | 2 imagine-2.1.4/imagine/NEWS.md | 5 - imagine-2.1.4/imagine/R/imagine-internal.R | 89 ++++++++++--------- imagine-2.1.4/imagine/R/imagine-main.R | 84 +++++++++++------ imagine-2.1.4/imagine/R/imagine-package.R | 24 ++--- imagine-2.1.4/imagine/build/partial.rdb |binary imagine-2.1.4/imagine/build/vignette.rds |binary imagine-2.1.4/imagine/inst/doc/intro-to-imagine.R |only imagine-2.1.4/imagine/inst/doc/intro-to-imagine.html |only imagine-2.1.4/imagine/inst/doc/intro-to-imagine.qmd |only imagine-2.1.4/imagine/man/imagine-package.Rd | 7 + imagine-2.1.4/imagine/vignettes/intro-to-imagine.qmd |only 18 files changed, 151 insertions(+), 108 deletions(-)
Title: A Unified Time Series Event Detection Framework
Description: By analyzing time series, it is possible to observe significant changes in the behavior of observations that frequently characterize events. Events present themselves as anomalies, change points, or motifs. In the literature, there are several methods for detecting events. However, searching for a suitable time series method is a complex task, especially considering that the nature of events is often unknown. This work presents Harbinger, a framework for integrating and analyzing event detection methods. Harbinger contains several state-of-the-art methods described in Salles et al. (2020) <doi:10.5753/sbbd.2020.13626>.
Author: Eduardo Ogasawara [aut, ths, cre] ,
Anthony Heimlich [aut],
Antonio Castro [aut],
Antonio Mello [aut],
Diego Carvalho [ctb],
Eduardo Bezerra [ctb],
Ellen Paixao [aut],
Fernando Fraga [aut],
Gabriel Giuliano [aut],
Heraldo Borges [aut],
Igor Andrade [ [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>
Diff between harbinger versions 2.0.707 dated 2026-05-08 and 2.0.747 dated 2026-05-14
harbinger-2.0.707/harbinger/tests |only harbinger-2.0.747/harbinger/DESCRIPTION | 12 harbinger-2.0.747/harbinger/MD5 | 77 +- harbinger-2.0.747/harbinger/NAMESPACE | 4 harbinger-2.0.747/harbinger/R/han_autoencoder.R | 3 harbinger-2.0.747/harbinger/R/hanc_ml.R | 2 harbinger-2.0.747/harbinger/R/hanct_dtw.R | 3 harbinger-2.0.747/harbinger/R/hanct_kmeans.R | 3 harbinger-2.0.747/harbinger/R/hanr_arima.R | 2 harbinger-2.0.747/harbinger/R/hanr_emd.R | 4 harbinger-2.0.747/harbinger/R/hanr_fbiad.R | 6 harbinger-2.0.747/harbinger/R/hanr_fft.R | 2 harbinger-2.0.747/harbinger/R/hanr_fft_amoc.R | 2 harbinger-2.0.747/harbinger/R/hanr_fft_amoc_cusum.R | 2 harbinger-2.0.747/harbinger/R/hanr_fft_binseg.R | 2 harbinger-2.0.747/harbinger/R/hanr_fft_binseg_cusum.R | 4 harbinger-2.0.747/harbinger/R/hanr_fft_sma.R | 2 harbinger-2.0.747/harbinger/R/hanr_garch.R | 2 harbinger-2.0.747/harbinger/R/hanr_ml.R | 3 harbinger-2.0.747/harbinger/R/hanr_remd.R | 6 harbinger-2.0.747/harbinger/R/hanr_rtad.R | 2 harbinger-2.0.747/harbinger/R/hanr_wavelet.R | 2 harbinger-2.0.747/harbinger/R/har_ensemble_fuzzy.R | 10 harbinger-2.0.747/harbinger/R/harbinger.R | 9 harbinger-2.0.747/harbinger/R/harbinger_utils.R | 260 +++------- harbinger-2.0.747/harbinger/R/harbinger_utils_candidate_selection.R |only harbinger-2.0.747/harbinger/R/harbinger_utils_deviation_measures.R |only harbinger-2.0.747/harbinger/R/harbinger_utils_filter_criteria.R |only harbinger-2.0.747/harbinger/R/hcp_cf_arima.R | 4 harbinger-2.0.747/harbinger/R/hcp_cf_ets.R | 4 harbinger-2.0.747/harbinger/R/hcp_cf_lr.R | 4 harbinger-2.0.747/harbinger/R/hcp_garch.R | 2 harbinger-2.0.747/harbinger/R/hcp_joinpoint.R |only harbinger-2.0.747/harbinger/R/hcp_kswin.R | 16 harbinger-2.0.747/harbinger/R/hcp_scp.R | 7 harbinger-2.0.747/harbinger/R/hmu_pca.R | 2 harbinger-2.0.747/harbinger/README.md | 138 +++-- harbinger-2.0.747/harbinger/man/har_ensemble_fuzzy.Rd | 6 harbinger-2.0.747/harbinger/man/harbinger.Rd | 3 harbinger-2.0.747/harbinger/man/harutils.Rd | 99 +++ harbinger-2.0.747/harbinger/man/hcp_binseg.Rd | 2 harbinger-2.0.747/harbinger/man/hcp_joinpoint.Rd |only 42 files changed, 414 insertions(+), 297 deletions(-)
Title: Gradient-Based Recognition of Spatial Patterns in Environmental
Data
Description: Provides algorithms for detection of spatial patterns from oceanographic data using image processing methods based on Gradient Recognition.
Author: Wencheng Lau-Medrano [aut, cre]
Maintainer: Wencheng Lau-Medrano <luis.laum@protonmail.com>
Diff between grec versions 1.6.3 dated 2025-12-06 and 1.6.4 dated 2026-05-14
DESCRIPTION | 30 +++++--- MD5 | 32 ++++---- NAMESPACE | 74 ++++++++++--------- NEWS.md | 7 + R/Raster-class.R | 25 ++++-- R/SpatRaster-class.R | 15 ++-- R/array-class.R | 17 ++-- R/detectFronts.R |only R/getGradients.R |only R/grec-internal.R | 76 ++++++++++++++------ R/grec-main.R | 189 --------------------------------------------------- R/grec-package.R | 57 ++++++++++----- R/list-class.R | 9 +- R/matrix-class.R | 8 +- build/partial.rdb |binary man/detectFronts.Rd | 2 man/getGradients.Rd | 8 +- man/grec-package.Rd | 7 + 18 files changed, 234 insertions(+), 322 deletions(-)
Title: Tests for Survival Data in General Factorial Designs
Description: Implemented are three Wald-type statistic and respective
permuted versions for null hypotheses formulated in terms of cumulative hazard rate functions, medians and the concordance measure, respectively, in the general framework of survival factorial designs with possibly heterogeneous survival and/or censoring distributions, for crossed designs with an arbitrary number of factors and nested designs with up to three factors.
Ditzhaus, Dobler and Pauly (2020) <doi:10.1177/0962280220980784>
Ditzhaus, Genuneit, Janssen, Pauly (2023) <doi:10.1111/biom.13575>
Dobler and Pauly (2019) <doi:10.1177/0962280219831316>.
Author: Marc Ditzhaus [aut],
Dennis Dobler [aut],
Markus Pauly [aut],
Philipp Steinhauer [aut],
Merle Munko [aut, cre]
Maintainer: Merle Munko <merle.munko@ovgu.de>
Diff between GFDsurv versions 0.1.1 dated 2022-11-23 and 0.1.2 dated 2026-05-14
DESCRIPTION | 12 +-- MD5 | 17 ++-- NEWS |only R/casanova.R | 5 - R/medsanova.R | 49 ++++++++++-- R/medsanova_stat.R | 56 +++++++++++++- R/shinyGUI.R | 2 R/utilty_functions.R | 3 man/casanova.Rd | 193 +++++++++++++++++++++++++-------------------------- man/medsanova.Rd | 29 ++++++- 10 files changed, 233 insertions(+), 133 deletions(-)
Title: Simulate Admixture of Genomes
Description: Individual-based simulations forward in time,
simulating how patterns in ancestry along the genome change after
admixture. Full description can be found in Janzen (2021)
<doi:10.1111/2041-210X.13612>.
Author: Thijs Janzen [aut, cre],
Fernando Diaz G. [ctb],
Richel J.C. Bilderbeek [ctb]
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>
Diff between GenomeAdmixR versions 2.1.12 dated 2025-06-20 and 2.1.13.2 dated 2026-05-14
DESCRIPTION | 9 MD5 | 88 +++--- R/simulate_admixture.R | 1 R/simulate_ancestry.R | 5 R/simulate_ancestry_migration.R | 3 R/simulate_ancestry_until.R | 2 R/simulate_sequence.R | 4 R/simulate_sequence_migration.R | 4 R/simulate_sequence_until.R | 3 R/utilities.R | 14 README.md | 17 - build/vignette.rds |binary inst/doc/Demonstrate_isofemales.R | 29 + inst/doc/Demonstrate_isofemales.Rmd | 29 + inst/doc/Demonstrate_isofemales.html | 126 ++++---- inst/doc/Empirical_data.R | 8 inst/doc/Empirical_data.Rmd | 8 inst/doc/Empirical_data.html | 94 +++--- inst/doc/Joyplots.R | 3 inst/doc/Joyplots.Rmd | 3 inst/doc/Joyplots.html | 28 + inst/doc/Visualization.R | 7 inst/doc/Visualization.Rmd | 7 inst/doc/Visualization.html | 21 - inst/doc/Walkthrough.R | 23 + inst/doc/Walkthrough.Rmd | 23 + inst/doc/Walkthrough.html | 134 ++++----- man/GenomeAdmixR-package.Rd | 6 man/figures |only src/Makevars | 1 src/Makevars.win | 2 src/helper_functions.cpp | 8 src/simulate.cpp | 50 --- src/simulate_emp.cpp | 68 ++-- src/simulate_migration.cpp | 381 +++++++++++--------------- src/simulate_migration_emp.cpp | 327 ++++++++++------------ src/util.h | 123 +++++++- tests/testthat/Rplots.pdf |only tests/testthat/test-general_usage.R | 19 - tests/testthat/test-simulate_admixture_data.R | 12 vignettes/Demonstrate_isofemales.Rmd | 29 + vignettes/Empirical_data.Rmd | 8 vignettes/Joyplots.Rmd | 3 vignettes/Visualization.Rmd | 7 vignettes/Walkthrough.Rmd | 23 + 45 files changed, 940 insertions(+), 820 deletions(-)
Title: Dynamic Structural Equation Models
Description: Applies dynamic structural equation models to time-series data
with generic and simplified specification for simultaneous and lagged
effects. Methods are described in Thorson et al. (2024)
"Dynamic structural equation models synthesize ecosystem dynamics
constrained by ecological mechanisms."
Author: James Thorson [aut, cre] ,
Maurice Goodman [ctb] ,
Wouter van der Bijl [ctb] ,
Giovanni M. Marchetti [ctr]
Maintainer: James Thorson <James.Thorson@noaa.gov>
Diff between dsem versions 2.0.0 dated 2026-05-12 and 2.0.1 dated 2026-05-14
dsem-2.0.0/dsem/man/as_sem.Rd |only dsem-2.0.1/dsem/DESCRIPTION | 12 dsem-2.0.1/dsem/MD5 | 25 - dsem-2.0.1/dsem/NAMESPACE | 2 dsem-2.0.1/dsem/NEWS.md | 9 dsem-2.0.1/dsem/R/dsem.R | 152 ++++---- dsem-2.0.1/dsem/R/make_dsem_ram.R | 47 +- dsem-2.0.1/dsem/README.md | 3 dsem-2.0.1/dsem/inst/doc/features.html | 2 dsem-2.0.1/dsem/inst/doc/nonlinear.html | 2 dsem-2.0.1/dsem/inst/doc/random_slopes.html | 2 dsem-2.0.1/dsem/src/dsem.cpp | 27 - dsem-2.0.1/dsem/tests/testthat/test-platform.R | 2 dsem-2.0.1/dsem/vignettes/dsem_vignettes.bib | 460 ++++++++++++------------- 14 files changed, 394 insertions(+), 351 deletions(-)
Title: Advanced Continuous Glucose Monitoring Analysis with
High-Performance C++ Backend
Description: Tools for advanced analysis of continuous glucose monitoring (CGM)
time-series, implementing GRID (Glucose Rate Increase Detector) and GRID-based
algorithms for postprandial peak detection, and detection of hypoglycemic and
hyperglycemic episodes (Levels 1/2/Extended) aligned with international consensus
CGM metrics. Core algorithms are implemented in optimized C++ using 'Rcpp' to
provide accurate and fast analysis on large datasets.
Author: Sang Ho Park [aut, cre],
Rosa Oh [aut, ctb],
Sang-Man Jin [aut, ctb]
Maintainer: Sang Ho Park <shstat1729@gmail.com>
Diff between cgmguru versions 1.0.0 dated 2026-05-14 and 1.0.1 dated 2026-05-14
DESCRIPTION | 6 MD5 | 48 ++--- NEWS.md | 8 R/cgmguru-functions-docs.R | 18 +- inst/doc/detect_all_events.html | 68 +++---- inst/doc/detect_hyperglycemic_events.html | 180 ++++++++++----------- inst/doc/detect_hypoglycemic_events.html | 166 +++++++++---------- inst/doc/examples.html | 170 +++++++++---------- inst/doc/intro.R | 6 inst/doc/intro.Rmd | 6 inst/doc/intro.html | 102 +++++------ inst/examples/detect_hyperglycemic_events.R | 2 inst/examples/detect_hypoglycemic_events.R | 6 man/detect_all_events.Rd | 2 man/detect_hyperglycemic_events.Rd | 8 man/detect_hypoglycemic_events.Rd | 8 src/detect_all_events.cpp | 14 - src/detect_hyperglycemic_events.cpp | 2 src/detect_hypoglycemic_events.cpp | 2 tests/testthat/test-event-interpolation-segments.R | 12 - tests/testthat/test-events.R | 6 tests/testthat/test-function_overrides.R | 6 tests/testthat/test-iglu-episode-parity.R | 2 tests/testthat/test-pre-recovery-events.R | 34 +-- vignettes/intro.Rmd | 6 25 files changed, 448 insertions(+), 440 deletions(-)
Title: Bayesian Averaging for Dynamic Panels
Description: Implements Bayesian model averaging for dynamic panels with weakly
exogenous regressors as described in the paper by
Moral-Benito (2013, <doi:10.1080/07350015.2013.818003>).
The package provides functions to estimate dynamic panel data models
and analyze the results of the estimation.
Author: Krzysztof Beck [aut],
Piotr Cukier [aut],
Marcin Dubel [aut, cre],
Mariusz Szczepanczyk [aut],
Mateusz Wyszynski [aut]
Maintainer: Marcin Dubel <marcindubel@gmail.com>
Diff between badp versions 0.4.0.1 dated 2026-03-14 and 0.5.0 dated 2026-05-14
DESCRIPTION | 14 - MD5 | 170 +++++++++-------- NAMESPACE | 11 + NEWS.md | 34 +++ R/RcppExports.R | 40 ++-- R/SEM_likelihood.R | 83 ++++---- R/SEM_matrices.R | 5 R/best_models.R | 149 +++++++++++---- R/bma.R | 263 ++++++++++++++------------- R/coef_hist.R | 107 +++++----- R/data.R | 117 +++++++++++- R/data_preparation.R | 4 R/extract_names.R | 3 R/hessian.R | 3 R/jointness.R | 216 ++++++++-------------- R/model_pmp.R | 23 -- R/model_sizes.R | 22 -- R/model_space.R | 192 +++++++------------ R/posterior_dens.R | 11 - R/s3_methods_bma.R |only R/s3_methods_model_space.R |only R/utils_plot.R |only README.md | 18 - build/partial.rdb |only data/full_bma_results.rda |binary data/full_model_space.rda |binary data/migration_data.rda |only data/migration_model_space.rda |only data/migration_model_space_nonnested.rda |only data/model_space_nonnested.rda |binary data/small_model_space.rda |binary inst/WORDLIST | 98 ++++++++++ inst/doc/badp_vignette.R | 12 - inst/doc/badp_vignette.Rmd | 24 +- inst/doc/badp_vignette.html | 172 ++++++++--------- inst/visual_comparison.R |only man/best_models.Rd | 30 +-- man/bma.Rd | 46 ++-- man/coef.badp_bma.Rd |only man/coef_hist.Rd | 45 ++-- man/compute_model_space_stats.Rd | 5 man/exogenous_matrix.Rd | 1 man/extract_names.Rd | 3 man/full_bma_results.Rd | 4 man/full_model_space.Rd | 7 man/hessian.Rd | 1 man/init_model_space_params.Rd | 1 man/join_lagged_col.Rd | 3 man/jointness.Rd | 23 +- man/matrices_from_df.Rd | 2 man/migration_data.Rd |only man/migration_model_space.Rd |only man/migration_model_space_nonnested.Rd |only man/model_pmp.Rd | 6 man/model_sizes.Rd | 15 - man/model_space_nonnested.Rd | 7 man/nested_optimization_wrapper.Rd | 3 man/nested_std_dev_from_params.Rd | 16 - man/non_nested_optimization_wrapper.Rd | 7 man/non_nested_std_dev_from_params.Rd | 16 - man/optim_model_space.Rd | 15 + man/optim_model_space_params.Rd | 2 man/plot.badp_bma.Rd |only man/posterior_dens.Rd | 5 man/print.badp_best_models.Rd |only man/print.badp_bma.Rd |only man/print.badp_bma_coef.Rd |only man/print.badp_drawable_grob.Rd |only man/print.badp_model_space.Rd |only man/print.summary.badp_bma.Rd |only man/print.summary.badp_model_space.Rd |only man/regressor_names_from_params_vector.Rd | 1 man/residual_maker_matrix.Rd | 2 man/sem_B_matrix.Rd | 6 man/sem_C_matrix.Rd | 10 - man/sem_dep_var_matrix.Rd | 2 man/sem_likelihood.Rd | 16 - man/sem_psi_matrix.Rd | 14 - man/sem_regressors_matrix.Rd | 2 man/sem_sigma_matrix.Rd | 2 man/small_model_space.Rd | 5 man/summary.badp_bma.Rd |only man/summary.badp_model_space.Rd |only src/RcppExports.cpp | 26 +- src/SEM_likelihood.cpp | 20 +- src/SEM_matrices.cpp | 96 +++++---- src/SEM_matrices.h | 4 tests/testthat/test-SEM_matrices.R | 36 +-- tests/testthat/test-best_models.R | 21 +- tests/testthat/test-bma.R | 5 tests/testthat/test-coef_hist.R | 60 ++++++ tests/testthat/test-data.R | 20 +- tests/testthat/test-model_pmp.R | 37 +++ tests/testthat/test-model_sizes.R | 37 +++ tests/testthat/test-model_space.R | 20 +- tests/testthat/test-s3_methods_bma.R |only tests/testthat/test-s3_methods_model_space.R |only vignettes/badp_vignette.Rmd | 24 +- 98 files changed, 1509 insertions(+), 1011 deletions(-)
Title: Análisis Computacional de Eventos de Protesta
Description: La librería 'ACEP' contiene funciones específicas para
desarrollar análisis computacional de eventos de protesta. Asimismo,
contiene bases de datos con colecciones de notas sobre protestas y
diccionarios de palabras conflictivas. La colección de diccionarios
reune diccionarios de diferentes orígenes.
The 'ACEP' library contains specific functions to perform computational
analysis of protest events. It also contains a database with collections
of notes on protests and dictionaries of conflicting words. Collection
of dictionaries that brings together dictionaries from different sources.
Author: Agustin Nieto [aut, cre]
Maintainer: Agustin Nieto <agustin.nieto77@gmail.com>
Diff between ACEP versions 0.1.0 dated 2026-05-10 and 0.1.1 dated 2026-05-14
DESCRIPTION | 6 MD5 | 54 - NEWS.md | 15 R/acep_diccionarios.R | 2 R/acep_load_base.R | 2 README.md | 7 inst/doc/conflictividad_soip.R | 47 - inst/doc/conflictividad_soip.Rmd | 57 - inst/doc/conflictividad_soip.html | 669 +++++++-------- inst/doc/extraccion_de_svo_con_acep.R | 31 inst/doc/extraccion_de_svo_con_acep.Rmd | 31 inst/doc/extraccion_de_svo_con_acep.html | 1346 ++++++++++++++----------------- inst/doc/extraccion_palabras_clave.R | 33 inst/doc/extraccion_palabras_clave.Rmd | 39 inst/doc/extraccion_palabras_clave.html | 408 ++++----- inst/doc/limpieza_de_texto_con_acep.R | 13 inst/doc/limpieza_de_texto_con_acep.Rmd | 19 inst/doc/limpieza_de_texto_con_acep.html | 978 ++++++++++------------ inst/doc/tokenizar_con_acep.R | 7 inst/doc/tokenizar_con_acep.Rmd | 9 inst/doc/tokenizar_con_acep.html | 277 ++---- man/acep_diccionarios.Rd | 2 man/acep_load_base.Rd | 2 vignettes/conflictividad_soip.Rmd | 57 - vignettes/extraccion_de_svo_con_acep.Rmd | 31 vignettes/extraccion_palabras_clave.Rmd | 39 vignettes/limpieza_de_texto_con_acep.Rmd | 19 vignettes/tokenizar_con_acep.Rmd | 9 28 files changed, 2007 insertions(+), 2202 deletions(-)
Title: Updated US State Facts and Figures
Description: Updated versions of the 1970s "US State Facts and Figures"
objects from the 'datasets' package included with R. The new data is
compiled from a number of sources, primarily from the United States
Census Bureau or the relevant federal agency. Modern tidy tibbles
provide richer state-level data including identifiers, geography,
capitals, demographics, and socioeconomic statistics. Convenience
vectors parallel the base 'datasets' state objects but extend coverage
to all 51 jurisdictions: the 50 states and the District of Columbia.
Author: Kiernan Nicholls [aut, cre, cph]
Maintainer: Kiernan Nicholls <k5cents@gmail.com>
Diff between usa versions 0.1.3 dated 2025-09-02 and 1.0.0 dated 2026-05-14
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Title: Simulate Data from a (Time-Dependent) Causal DAG
Description: Simulate complex data from a given directed acyclic graph and information about each individual node.
Root nodes are simply sampled from the specified distribution. Child Nodes are simulated according to
one of many implemented regressions, such as logistic regression, linear
regression, poisson regression or any other function. Also includes a comprehensive framework for discrete-time
simulation, discrete-event simulation, and networks-based simulation which can generate even more complex longitudinal and dependent data.
For more details, see Robin Denz, Nina Timmesfeld (2026) <doi:10.18637/jss.v116.i02>.
Author: Robin Denz [aut, cre],
Katharina Meiszl [aut]
Maintainer: Robin Denz <robin.denz@rub.de>
Diff between simDAG versions 0.5.2 dated 2026-03-30 and 1.0.0 dated 2026-05-14
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Title: Analyzing the Survey of Consumer Finances
Description: Analyze public-use micro data from the Survey of Consumer Finances.
Provides tools to download prepared data files, construct replicate-weighted
multiply imputed survey designs, compute descriptive statistics and model
estimates, and produce plots and tables. Methods follow design-based inference
for complex surveys and pooling across multiple imputations. See the package
website and the code book for background.
Author: Joseph Cohen [aut, cre]
Maintainer: Joseph Cohen <joseph.cohen@qc.cuny.edu>
Diff between scf versions 1.0.7 dated 2026-05-12 and 1.0.8 dated 2026-05-14
DESCRIPTION | 10 +++++----- MD5 | 6 +++--- NEWS | 4 ++++ R/scf_plot_hist.R | 20 +++++++++++++++++++- 4 files changed, 31 insertions(+), 9 deletions(-)
Title: Density and Abundance from Distance-Sampling Surveys
Description: Distance-sampling (<doi:10.1007/978-3-319-19219-2>)
is a field survey and analytical method that estimates density and
abundance of survey targets (e.g., animals) when
detection probability declines with observation distance.
Distance-sampling is popular in ecology,
especially when survey targets are observed from aerial platforms (e.g.,
airplane or drone), surface vessels (e.g., boat or truck), or along
walking transects. Analysis involves fitting smooth (parametric) curves to
histograms of observation distances and using those functions to
adjust density estimates for missed targets. Routines included here
fit curves to observation distance histograms, estimate effective
sampling area, density of targets in surveyed areas, and the abundance
of targets in a surrounding study area. Confidence interval estimation
uses built-in bootstrap resampling. Help files are extensive and have been
vetted by multiple authors. Many tutorials are available on the package's
website (URL below).
Author: Trent McDonald [cre, aut],
Jason Carlisle [aut],
Aidan McDonald [aut] ,
Ryan Nielson [ctb] ,
Ben Augustine [ctb] ,
James Griswald [ctb] ,
Patrick McKann [ctb] ,
Lacey Jeroue [ctb] ,
Hoffman Abigail [ctb] ,
Kleinsausser Michael [ctb] ,
Joel Reynolds [ [...truncated...]
Maintainer: Trent McDonald <trent@mcdonalddatasciences.com>
Diff between Rdistance versions 4.4.2 dated 2026-05-09 and 4.4.3 dated 2026-05-14
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- NEWS.md | 10 ++++++++++ R/integrateOneStepNumeric.R | 1 + 4 files changed, 18 insertions(+), 7 deletions(-)
Title: Text Extraction, Rendering and Converting of PDF Documents
Description: Utilities based on 'libpoppler' <https://poppler.freedesktop.org> for extracting
text, fonts, attachments and metadata from a PDF file. Also supports high quality rendering
of PDF documents into PNG, JPEG, TIFF format, or into raw bitmap vectors for further
processing in R.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>
Diff between pdftools versions 3.8.0 dated 2026-04-11 and 3.9.0 dated 2026-05-14
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS | 3 +++ src/Makevars.win | 2 +- tools/winlibs.R | 6 ++++-- 5 files changed, 15 insertions(+), 10 deletions(-)
Title: A Common API to Modeling and Analysis Functions
Description: A common interface is provided to allow users to specify a
model without having to remember the different argument names across
different functions or computational engines (e.g. 'R', 'Spark',
'Stan', 'H2O', etc).
Author: Max Kuhn [cre, aut] ,
Davis Vaughan [aut],
Emil Hvitfeldt [ctb],
Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>
Diff between parsnip versions 1.5.0 dated 2026-04-09 and 1.6.0 dated 2026-05-14
parsnip-1.5.0/parsnip/build/stage23.rdb |only parsnip-1.6.0/parsnip/DESCRIPTION | 11 parsnip-1.6.0/parsnip/MD5 | 206 +++++----- parsnip-1.6.0/parsnip/NAMESPACE | 3 parsnip-1.6.0/parsnip/NEWS.md | 6 parsnip-1.6.0/parsnip/R/aaa_archive.R | 5 parsnip-1.6.0/parsnip/R/aaa_models.R | 5 parsnip-1.6.0/parsnip/R/auto_ml.R | 4 parsnip-1.6.0/parsnip/R/bag_mars.R | 4 parsnip-1.6.0/parsnip/R/bag_mlp.R | 4 parsnip-1.6.0/parsnip/R/bag_tree.R | 4 parsnip-1.6.0/parsnip/R/bart.R | 4 parsnip-1.6.0/parsnip/R/boost_tree.R | 4 parsnip-1.6.0/parsnip/R/c5_rules.R | 4 parsnip-1.6.0/parsnip/R/control_parsnip.R | 3 parsnip-1.6.0/parsnip/R/convert_data.R | 4 parsnip-1.6.0/parsnip/R/cubist_rules.R | 4 parsnip-1.6.0/parsnip/R/decision_tree.R | 4 parsnip-1.6.0/parsnip/R/descriptors.R | 39 + parsnip-1.6.0/parsnip/R/discrim_flexible.R | 4 parsnip-1.6.0/parsnip/R/discrim_linear.R | 4 parsnip-1.6.0/parsnip/R/discrim_quad.R | 4 parsnip-1.6.0/parsnip/R/discrim_regularized.R | 4 parsnip-1.6.0/parsnip/R/fit_helpers.R | 10 parsnip-1.6.0/parsnip/R/gen_additive_mod.R | 4 parsnip-1.6.0/parsnip/R/keras3.R |only parsnip-1.6.0/parsnip/R/linear_reg.R | 4 parsnip-1.6.0/parsnip/R/linear_reg_data.R | 53 ++ parsnip-1.6.0/parsnip/R/linear_reg_keras3.R |only parsnip-1.6.0/parsnip/R/logistic_reg.R | 4 parsnip-1.6.0/parsnip/R/logistic_reg_data.R | 72 +++ parsnip-1.6.0/parsnip/R/logistic_reg_keras3.R |only parsnip-1.6.0/parsnip/R/mars.R | 4 parsnip-1.6.0/parsnip/R/mlp.R | 6 parsnip-1.6.0/parsnip/R/mlp_data.R | 176 ++++++++ parsnip-1.6.0/parsnip/R/mlp_keras3.R |only parsnip-1.6.0/parsnip/R/multinom_reg.R | 4 parsnip-1.6.0/parsnip/R/multinom_reg_data.R | 70 +++ parsnip-1.6.0/parsnip/R/multinom_reg_keras3.R |only parsnip-1.6.0/parsnip/R/naive_Bayes.R | 4 parsnip-1.6.0/parsnip/R/nearest_neighbor.R | 4 parsnip-1.6.0/parsnip/R/ordinal_reg.R | 4 parsnip-1.6.0/parsnip/R/pls.R | 4 parsnip-1.6.0/parsnip/R/poisson_reg.R | 4 parsnip-1.6.0/parsnip/R/proportional_hazards.R | 4 parsnip-1.6.0/parsnip/R/rand_forest.R | 4 parsnip-1.6.0/parsnip/R/rule_fit.R | 4 parsnip-1.6.0/parsnip/R/survival_reg.R | 4 parsnip-1.6.0/parsnip/R/svm_linear.R | 4 parsnip-1.6.0/parsnip/R/svm_poly.R | 4 parsnip-1.6.0/parsnip/R/svm_rbf.R | 4 parsnip-1.6.0/parsnip/R/translate.R | 8 parsnip-1.6.0/parsnip/data/model_db.rda |binary parsnip-1.6.0/parsnip/inst/models.tsv | 5 parsnip-1.6.0/parsnip/man/C5_rules.Rd | 4 parsnip-1.6.0/parsnip/man/auto_ml.Rd | 4 parsnip-1.6.0/parsnip/man/bag_mars.Rd | 4 parsnip-1.6.0/parsnip/man/bag_mlp.Rd | 4 parsnip-1.6.0/parsnip/man/bag_tree.Rd | 4 parsnip-1.6.0/parsnip/man/bart.Rd | 4 parsnip-1.6.0/parsnip/man/boost_tree.Rd | 4 parsnip-1.6.0/parsnip/man/cubist_rules.Rd | 4 parsnip-1.6.0/parsnip/man/decision_tree.Rd | 4 parsnip-1.6.0/parsnip/man/details_bag_tree_rpart.Rd | 30 + parsnip-1.6.0/parsnip/man/details_decision_tree_rpart.Rd | 26 - parsnip-1.6.0/parsnip/man/details_decision_tree_rpartScore.Rd | 10 parsnip-1.6.0/parsnip/man/details_linear_reg_keras3.Rd |only parsnip-1.6.0/parsnip/man/details_logistic_reg_keras3.Rd |only parsnip-1.6.0/parsnip/man/details_mlp_keras3.Rd |only parsnip-1.6.0/parsnip/man/details_multinom_reg_keras3.Rd |only parsnip-1.6.0/parsnip/man/details_proportional_hazards_glmnet.Rd | 4 parsnip-1.6.0/parsnip/man/discrim_flexible.Rd | 4 parsnip-1.6.0/parsnip/man/discrim_linear.Rd | 4 parsnip-1.6.0/parsnip/man/discrim_quad.Rd | 4 parsnip-1.6.0/parsnip/man/discrim_regularized.Rd | 4 parsnip-1.6.0/parsnip/man/gen_additive_mod.Rd | 4 parsnip-1.6.0/parsnip/man/keras3_activations.Rd |only parsnip-1.6.0/parsnip/man/keras3_mlp.Rd |only parsnip-1.6.0/parsnip/man/keras3_predict_classes.Rd |only parsnip-1.6.0/parsnip/man/linear_reg.Rd | 4 parsnip-1.6.0/parsnip/man/logistic_reg.Rd | 4 parsnip-1.6.0/parsnip/man/mars.Rd | 4 parsnip-1.6.0/parsnip/man/mlp.Rd | 4 parsnip-1.6.0/parsnip/man/multinom_reg.Rd | 4 parsnip-1.6.0/parsnip/man/naive_Bayes.Rd | 4 parsnip-1.6.0/parsnip/man/nearest_neighbor.Rd | 4 parsnip-1.6.0/parsnip/man/ordinal_reg.Rd | 4 parsnip-1.6.0/parsnip/man/pls.Rd | 4 parsnip-1.6.0/parsnip/man/poisson_reg.Rd | 4 parsnip-1.6.0/parsnip/man/proportional_hazards.Rd | 4 parsnip-1.6.0/parsnip/man/rand_forest.Rd | 4 parsnip-1.6.0/parsnip/man/rmd/bag_tree_rpart.Rmd | 48 +- parsnip-1.6.0/parsnip/man/rmd/bag_tree_rpart.md | 30 + parsnip-1.6.0/parsnip/man/rmd/decision_tree_rpart.Rmd | 44 +- parsnip-1.6.0/parsnip/man/rmd/decision_tree_rpart.md | 26 - parsnip-1.6.0/parsnip/man/rmd/decision_tree_rpartScore.Rmd | 28 - parsnip-1.6.0/parsnip/man/rmd/decision_tree_rpartScore.md | 10 parsnip-1.6.0/parsnip/man/rmd/linear_reg_keras3.md |only parsnip-1.6.0/parsnip/man/rmd/logistic_reg_keras3.md |only parsnip-1.6.0/parsnip/man/rmd/mlp_keras3.md |only parsnip-1.6.0/parsnip/man/rmd/multinom_reg_keras3.md |only parsnip-1.6.0/parsnip/man/rmd/proportional_hazards_glmnet.md | 4 parsnip-1.6.0/parsnip/man/rule_fit.Rd | 4 parsnip-1.6.0/parsnip/man/survival_reg.Rd | 4 parsnip-1.6.0/parsnip/man/svm_linear.Rd | 4 parsnip-1.6.0/parsnip/man/svm_poly.Rd | 4 parsnip-1.6.0/parsnip/man/svm_rbf.Rd | 4 parsnip-1.6.0/parsnip/tests/testthat/_snaps/args_and_modes.md | 2 parsnip-1.6.0/parsnip/tests/testthat/_snaps/mlp_keras3.md |only parsnip-1.6.0/parsnip/tests/testthat/_snaps/multinom_reg.md | 2 parsnip-1.6.0/parsnip/tests/testthat/_snaps/registration.md | 14 parsnip-1.6.0/parsnip/tests/testthat/test-linear_reg_keras3.R |only parsnip-1.6.0/parsnip/tests/testthat/test-logistic_reg_keras3.R |only parsnip-1.6.0/parsnip/tests/testthat/test-mlp_keras3.R |only parsnip-1.6.0/parsnip/tests/testthat/test-multinom_reg_keras3.R |only 115 files changed, 848 insertions(+), 356 deletions(-)
Title: Algorithm to Compute Monitor Independent Movement Summary Unit
(MIMS-Unit)
Description: The MIMS-unit algorithm is developed to compute Monitor Independent
Movement Summary Unit, a measurement to summarize raw accelerometer data
while ensuring harmonized results across different devices. It also includes
scripts to reproduce results in the related publication
(John, D., Tang. Q., Albinali, F. and Intille, S. (2019) <doi:10.1123/jmpb.2018-0068>).
Author: Qu Tang [aut] ,
Dinesh John [aut],
Stephen Intille [aut],
Umberto Mazzucchelli [cre] ,
mHealth Research Group [cph]
Maintainer: Umberto Mazzucchelli <mazzucchelli.u@northeastern.edu>
This is a re-admission after prior archival of version 0.11.2 dated 2022-06-21
Diff between MIMSunit versions 0.11.2 dated 2022-06-21 and 0.11.3 dated 2026-05-14
DESCRIPTION | 18 LICENSE | 2 MD5 | 145 NAMESPACE | 74 NEWS.md | 490 - R/aggregate_over_epoch.R | 573 - R/app.R | 38 R/check_epoch.R |only R/combine_axes.R | 253 R/data.R | 206 R/export_data.R | 220 R/extrapolate.R | 1399 ++-- R/extrapolate_rate.R | 98 R/filter.R | 298 R/helper.R | 526 - R/import_data.R | 1812 ++--- R/interpolate.R | 217 R/mims_unit.R | 1405 ++-- R/orientation.R | 164 R/plotting.R | 650 +- R/simulate_data.R | 206 README.md | 216 inst/CITATION | 34 inst/WORDLIST |only inst/app/server.R | 116 inst/app/ui.R | 122 inst/extdata/actigraph_count.csv | 5514 ++++++++--------- inst/extdata/actigraph_no_timestamp.csv |10000 ++++++++++++++++---------------- inst/extdata/actigraph_timestamped.csv |10000 ++++++++++++++++---------------- inst/extdata/activpal3.csv |10000 ++++++++++++++++---------------- inst/extdata/enmo.csv | 1000 +-- inst/extdata/mhealth.csv | 962 +-- inst/extdata/mhealth1.csv | 962 +-- inst/pkgdown/templates/head.html | 234 man/aggregate_for_mims.Rd | 178 man/aggregate_for_orientation.Rd | 200 man/bandlimited_interp.Rd | 110 man/clip_data.Rd | 154 man/compute_orientation.Rd | 126 man/conceptual_diagram_data.Rd | 66 man/custom_mims_unit.Rd | 350 - man/cut_off_signal.Rd | 130 man/cv_different_algorithms.Rd | 54 man/edge_case.Rd | 50 man/export_to_actilife.Rd | 154 man/extrapolate.Rd | 186 man/extrapolate_rate.Rd | 118 man/generate_interactive_plot.Rd | 92 man/iir.Rd | 140 man/illustrate_extrapolation.Rd | 130 man/illustrate_signal.Rd | 138 man/import_actigraph_count_csv.Rd | 144 man/import_actigraph_csv.Rd | 206 man/import_actigraph_csv_chunked.Rd | 250 man/import_actigraph_meta.Rd | 140 man/import_activpal3_csv.Rd | 140 man/import_enmo_csv.Rd | 110 man/import_mhealth_csv.Rd | 118 man/import_mhealth_csv_chunked.Rd | 188 man/interpolate_signal.Rd | 152 man/measurements_different_devices.Rd | 64 man/mims_unit.Rd | 280 man/parse_epoch_string.Rd | 106 man/rest_on_table.Rd | 50 man/sample_raw_accel_data.Rd | 52 man/sampling_rate.Rd | 112 man/segment_data.Rd | 160 man/sensor_orientations.Rd | 173 man/shiny_app.Rd | 66 man/simulate_new_data.Rd | 116 man/sum_up.Rd | 126 man/vector_magnitude.Rd | 128 tests/testthat.R | 8 tests/testthat/test-helper.R | 16 tests/testthat/test-import_data.R |only 75 files changed, 26658 insertions(+), 26577 deletions(-)
Title: Deep Python Extensions for 'daltoolbox'
Description: Extends 'daltoolbox' with Python-backed components for deep learning,
scikit-learn classification, and time-series forecasting through
'reticulate'. The package provides objects that follow the 'daltoolbox'
architecture while delegating model creation, fitting, encoding, and
prediction to Python libraries such as 'torch' and 'scikit-learn'. In the
package name, 'dp' stands for 'Deep Python'. The overall workflow is
inspired by the Experiment Lines approach described in Ogasawara et al.
(2009) <doi:10.1007/978-3-642-02279-1_20>.
Author: Eduardo Ogasawara [aut, ths, cre] ,
Diego Salles [aut],
Erich Carvalho [aut],
Janio Lima [aut],
Joao Kongevold [aut],
Lucas Tavares [aut],
Eduardo Bezerra [ctb],
CEFET/RJ [cph]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>
Diff between daltoolboxdp versions 1.2.767 dated 2026-05-05 and 1.3.737 dated 2026-05-14
DESCRIPTION | 10 + MD5 | 149 ++++++++++++----------- NAMESPACE | 4 R/autoenc-utils.R |only R/autoenc_adv_e.R | 189 ++++++++++++++++++++--------- R/autoenc_adv_ed.R | 154 +++++++++++++++--------- R/autoenc_conv_e.R | 22 +-- R/autoenc_conv_ed.R | 20 +-- R/autoenc_denoise_e.R | 172 +++++++++++++++++--------- R/autoenc_denoise_ed.R | 145 +++++++++++++--------- R/autoenc_e.R | 188 ++++++++++++++++++----------- R/autoenc_ed.R | 159 ++++++++++++++---------- R/autoenc_lstm_e.R | 158 ++++++++++++++++-------- R/autoenc_lstm_ed.R | 134 ++++++++++++--------- R/autoenc_stacked_e.R | 174 +++++++++++++++++++-------- R/autoenc_stacked_ed.R | 142 ++++++++++++++-------- R/autoenc_variational_e.R | 185 ++++++++++++++++++----------- R/autoenc_variational_ed.R | 149 +++++++++++++---------- R/globals.R | 11 + R/skcla_gb.R | 180 ++++++++++------------------ R/skcla_knn.R | 132 ++++++++------------ R/skcla_mlp.R | 191 ++++++++++------------------- R/skcla_nb.R | 21 +-- R/skcla_rf.R | 175 ++++++++++----------------- R/skcla_svc.R | 181 +++++++++++----------------- R/skcla_utils.R |only R/torch_cla_mlp.R | 137 +++++++++++---------- R/torch_reg_mlp.R | 115 ++++++++++-------- R/torch_ts_mlp.R |only R/ts_conv1d.R | 132 ++++++++++++++------ R/ts_lstm.R | 120 ++++++++++++------ README.md | 37 ++++- inst/python/autoenc.py | 92 +++++++++++--- inst/python/autoenc_adv.py | 236 +++++++++++++++++++++++-------------- inst/python/autoenc_common.py | 70 ++++++++++ inst/python/autoenc_conv.py | 10 - inst/python/autoenc_denoise.py | 92 ++++++++++++-- inst/python/autoenc_lstm.py | 97 +++++++++++---- inst/python/autoenc_stacked.py | 146 ++++++++++++++++++---- inst/python/autoenc_variational.py | 122 ++++++++++++++----- inst/python/skcla_gb.py | 41 +++--- inst/python/skcla_knn.py | 28 +++- inst/python/skcla_mlp.py | 34 ++--- inst/python/skcla_nb.py | 21 ++- inst/python/skcla_rf.py | 34 ++--- inst/python/skcla_svc.py | 32 ++--- inst/python/skimb_smote.py | 8 - inst/python/skimb_tomek_links.py | 8 - inst/python/torch_cla_mlp.py | 139 ++++++++++++++++++--- inst/python/torch_reg_mlp.py | 146 ++++++++++++++++++++-- inst/python/torch_ts_mlp.py |only inst/python/ts_conv1d.py | 170 +++++++++++++++++++++----- inst/python/ts_lstm.py | 133 +++++++++++++++++--- man/autoenc_adv_e.Rd | 75 ++++++++--- man/autoenc_adv_ed.Rd | 71 +++++++---- man/autoenc_conv_e.Rd | 16 +- man/autoenc_conv_ed.Rd | 14 +- man/autoenc_denoise_e.Rd | 53 +++++--- man/autoenc_denoise_ed.Rd | 50 +++++-- man/autoenc_e.Rd | 64 ++++++---- man/autoenc_ed.Rd | 63 ++++++--- man/autoenc_lstm_e.Rd | 50 +++++-- man/autoenc_lstm_ed.Rd | 44 ++++-- man/autoenc_stacked_e.Rd | 61 +++++++-- man/autoenc_stacked_ed.Rd | 52 ++++++-- man/autoenc_variational_e.Rd | 62 ++++++--- man/autoenc_variational_ed.Rd | 56 +++++--- man/skcla_gb.Rd | 73 ++--------- man/skcla_knn.Rd | 44 ++---- man/skcla_mlp.Rd | 87 +++---------- man/skcla_nb.Rd | 4 man/skcla_rf.Rd | 73 ++--------- man/skcla_svc.Rd | 64 ++-------- man/torch_cla_mlp.Rd | 39 +++--- man/torch_reg_mlp.Rd | 34 +++-- man/torch_ts_mlp.Rd |only man/ts_conv1d.Rd | 56 +++++++- man/ts_lstm.Rd | 48 ++++++- 78 files changed, 4035 insertions(+), 2463 deletions(-)
Title: A Tool for Rating Text/Image/Audio Stimuli via 'LLMs'
Description: Evaluates stimuli using Large Language Models.
Supports multiple LLM providers: 'OpenAI', 'Anthropic', 'Ollama', 'LM Studio',
'DeepSeek', 'Groq', 'Mistral', and 'OpenAI-compatible' endpoints.
Stimuli: plain text, local image/audio files, or image URLs.
Audio is transcribed via 'OpenAI Whisper' before rating.
Supports numeric, text, and raw return types.
Author: Shiyang Zheng [aut, cre]
Maintainer: Shiyang Zheng <Shiyang.Zheng@nottingham.ac.uk>
Diff between chatRater versions 1.2.0 dated 2025-08-18 and 1.3.0 dated 2026-05-14
DESCRIPTION | 26 - LICENSE | 4 MD5 | 18 NAMESPACE | 4 NEWS.md |only R/chatRater.R | 857 ++++++++++++++++++++++++++++++++++------ README.md | 273 +++++++++--- man/generate_ratings.Rd | 188 ++++++++ man/generate_ratings_for_all.Rd | 100 +++- tests/testthat |only tests/testthat.R | 4 11 files changed, 1226 insertions(+), 248 deletions(-)
Title: Advanced Continuous Glucose Monitoring Analysis with
High-Performance C++ Backend
Description: Tools for advanced analysis of continuous glucose monitoring (CGM)
time-series, implementing GRID (Glucose Rate Increase Detector) and GRID-based
algorithms for postprandial peak detection, and detection of hypoglycemic and
hyperglycemic episodes (Levels 1/2/Extended) aligned with international consensus
CGM metrics. Core algorithms are implemented in optimized C++ using 'Rcpp' to
provide accurate and fast analysis on large datasets.
Author: Sang Ho Park [aut, cre],
Rosa Oh [aut, ctb],
Sang-Man Jin [aut, ctb]
Maintainer: Sang Ho Park <shstat1729@gmail.com>
Diff between cgmguru versions 0.2.0 dated 2026-05-07 and 1.0.0 dated 2026-05-14
DESCRIPTION | 6 MD5 | 124 +-- NAMESPACE | 2 NEWS.md | 15 R/RcppExports.R | 24 R/cgmguru-functions-docs.R | 256 +++++- R/cgmguru-package.R | 21 R/function_overrides.R | 50 + R/input_validation.R | 45 + R/interpolate_cgm.R |only R/orderfast.R | 4 R/sensor_wear.R |only build/vignette.rds |binary inst/doc/detect_all_events.R | 8 inst/doc/detect_all_events.Rmd | 35 inst/doc/detect_all_events.html | 174 +++- inst/doc/detect_hyperglycemic_events.html | 64 - inst/doc/detect_hypoglycemic_events.html | 44 - inst/doc/examples.Rmd | 3 inst/doc/examples.html | 231 +++--- inst/doc/excursion.Rmd | 3 inst/doc/excursion.html | 5 inst/doc/find_new_maxima.html | 8 inst/doc/grid.Rmd | 2 inst/doc/grid.html | 9 inst/doc/intro.R | 7 inst/doc/intro.Rmd | 22 inst/doc/intro.html | 122 ++- inst/doc/maxima_grid.Rmd | 3 inst/doc/maxima_grid.html | 4 inst/examples/detect_all_events.R | 17 man/cgmguru-package.Rd | 23 man/detect_all_events.Rd | 92 +- man/detect_between_maxima.Rd | 2 man/detect_hyperglycemic_events.Rd | 40 - man/detect_hypoglycemic_events.Rd | 38 - man/excursion.Rd | 2 man/find_new_maxima.Rd | 8 man/grid.Rd | 2 man/interpolate_cgm.Rd |only man/maxima_grid.Rd | 7 man/orderfast.Rd | 8 man/sensor_wear.Rd |only man/start_finder.Rd | 4 man/transform_df.Rd | 2 src/RcppExports.cpp | 77 +- src/detect_all_events.cpp | 791 ++++++++++++++------- src/detect_hyperglycemic_events.cpp | 480 +++++------- src/detect_hypoglycemic_events.cpp | 429 +++++------ src/event_preprocessing.h |only src/interpolate_cgm.cpp |only src/orderfast.cpp |only src/sensor_wear.cpp |only tests/testthat/test-event-interpolation-segments.R |only tests/testthat/test-events.R | 67 + tests/testthat/test-function_overrides.R | 16 tests/testthat/test-grid_maxima_excursion.R | 36 tests/testthat/test-iglu-episode-parity.R |only tests/testthat/test-input_validation.R | 23 tests/testthat/test-interpolate-cgm.R |only tests/testthat/test-orderfast.R | 18 tests/testthat/test-pre-recovery-events.R | 71 + tests/testthat/test-sensor-wear.R |only vignettes/detect_all_events.Rmd | 35 vignettes/examples.Rmd | 3 vignettes/excursion.Rmd | 3 vignettes/grid.Rmd | 2 vignettes/intro.Rmd | 22 vignettes/maxima_grid.Rmd | 3 69 files changed, 2352 insertions(+), 1260 deletions(-)
Title: Simulate, Evaluate, and Analyze Dose Finding Trials with
Bayesian MCPMod
Description: Bayesian MCPMod (Fleischer et al. (2022)
<doi:10.1002/pst.2193>) is an innovative method that improves the
traditional MCPMod by systematically incorporating historical data,
such as previous placebo group data. This package offers functions
for simulating, analyzing, and evaluating Bayesian MCPMod trials with
normally and binary distributed endpoints. It enables the assessment of trial
designs incorporating historical data across various true
dose-response relationships and sample sizes. Robust mixture prior
distributions, such as those derived with the Meta-Analytic-Predictive
approach (Schmidli et al. (2014) <doi:10.1111/biom.12242>), can be
specified for each dose group. Resulting mixture posterior
distributions are used in the Bayesian Multiple Comparison Procedure
and modeling steps. The modeling step also includes a weighted model
averaging approach (Pinheiro et al. (2014) <doi:10.1002/sim.6052>).
Estimated dose-response relationships can be bootstrapped and
v [...truncated...]
Author: Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd],
Stephan Wojciekowski [aut, cre],
Lars Andersen [aut],
Jonas Schick [ctb],
Sebastian Bossert [aut]
Maintainer: Stephan Wojciekowski <stephan.wojciekowski@boehringer-ingelheim.com>
Diff between BayesianMCPMod versions 1.3.1 dated 2026-02-25 and 1.3.2 dated 2026-05-14
DESCRIPTION | 10 - MD5 | 42 +++--- NEWS.md | 4 R/BMCPMod.R | 5 R/assessDesign.R | 22 ++- R/posterior.R | 83 ++++++++---- R/s3methods.R | 8 - inst/WORDLIST | 6 inst/doc/Simulation_Comparison.html | 4 inst/doc/Simulation_Example.html | 24 +-- inst/doc/Simulation_Example_Binary.R | 16 ++ inst/doc/Simulation_Example_Binary.Rmd | 25 +++ inst/doc/Simulation_Example_Binary.html | 210 ++++++++++++++++++++++++++------ inst/doc/analysis_normal.html | 4 inst/doc/binary_endpoint.Rmd | 3 inst/doc/binary_endpoint.html | 17 +- man/assessDesign.Rd | 28 ++-- man/getPosterior.Rd | 9 + tests/testthat/test-binary-posterior.R | 178 ++++++++++++++++++++++++--- vignettes/Simulation_Example_Binary.Rmd | 25 +++ vignettes/binary_endpoint.Rmd | 3 vignettes/references.bib | 20 ++- 22 files changed, 593 insertions(+), 153 deletions(-)
More information about BayesianMCPMod at CRAN
Permanent link
Title: Prior-Data Fitted Network Foundational Model for Tabular Data
Description: Provides a consistent API for classification and regression models
based on the 'TabPFN' model of Hollmann et al. (2025), "Accurate predictions
on small data with a tabular foundation model," Nature, 637(8045)
<doi:10.1038/s41586-024-08328-6>. The calculations are served via 'Python'
to train and predict the model.
Author: Max Kuhn [aut, cre] ,
Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>
Diff between tabpfn versions 0.1.0 dated 2026-03-18 and 0.2.0 dated 2026-05-14
DESCRIPTION | 9 +- MD5 | 44 ++++++----- NAMESPACE | 2 NEWS.md | 13 +++ R/TabPFN-fit.R | 132 ++++++++++++++++++++++------------- R/control.R | 55 +++++++++++--- R/misc.R | 44 ++++++++++- R/tabpfn-helpers.R |only R/zzz.R | 12 ++- README.md | 99 ++++++++++++++++++-------- inst/WORDLIST | 1 man/control_tab_pfn.Rd | 7 + man/figures/README-boundaries-1.png |binary man/figures/license.png |only man/tab_pfn.Rd | 79 ++++++++++++++++---- man/tabpfn_download_models.Rd |only man/tabpfn_list_versions.Rd |only tests/spelling.R | 10 +- tests/testthat.R | 14 +++ tests/testthat/helper.R | 8 ++ tests/testthat/test-TabPFN-fit.R |only tests/testthat/test-classification.R | 9 -- tests/testthat/test-control.R | 32 ++++++++ tests/testthat/test-misc.R | 32 ++------ tests/testthat/test-regression.R | 65 +++++++++++++++-- tests/testthat/test-tabpfn-helpers.R |only 26 files changed, 496 insertions(+), 171 deletions(-)
Title: Known-Biomass Production Model (KBPM)
Description: Application of a Known Biomass Production Model (KBPM): (1) the fitting of KBPM to each stock; (2) the estimation of the effects of environmental variability; (3) the retrospective analysis to identify regime shifts; (4) the estimation of forecasts. For more details see Schaefer (1954) <https://www.iattc.org/GetAttachment/62d510ee-13d0-40f2-847b-0fde415476b8/Vol-1-No-2-1954-SCHAEFER,-MILNER-B-_Some-aspects-of-the-dynamics-of-populations-important-to-the-management-of-the-commercial-marine-fisheries.pdf>, Pella and Tomlinson (1969) <https://www.iattc.org/GetAttachment/9865079c-6ee7-40e2-9e30-c4523ff81ddf/Vol-13-No-3-1969-PELLA,-JEROME-J-,-and-PATRICK-K-TOMLINSON_A-generalized-stock-production-model.pdf> and MacCall (2002) <doi:10.1577/1548-8675(2002)022%3C0272:UOKBPM%3E2.0.CO;2>.
Author: Anxo Paz [aut, cre],
Marta Cousido Rocha [aut, ths],
Santiago Cervino Lopez [aut, ths],
Maria Grazia Peninno [aut]
Maintainer: Anxo Paz <anxo.paz@hotmail.com>
Diff between knobi versions 0.1.0 dated 2025-06-10 and 1.0.0 dated 2026-05-14
DESCRIPTION | 9 +++++---- MD5 | 30 ++++++++++++++++++------------ R/knobi_env.R | 5 +++++ R/knobi_environmental.R |only R/knobi_fit.R | 14 +++++++------- R/knobi_proj.R | 20 +++++++++++++------- R/knobi_results.R |only R/knobi_retro.R | 6 +++++- data/knobi_environmental.RData |only data/knobi_results.RData |only inst/doc/knobi.Rmd | 2 +- inst/doc/knobi.html | 35 ++++++++++++++++++----------------- man/knobi_env.Rd | 5 +++++ man/knobi_environmental.Rd |only man/knobi_fit.Rd | 2 +- man/knobi_proj.Rd | 20 +++++++++++++------- man/knobi_results.Rd |only man/knobi_retro.Rd | 6 +++++- vignettes/knobi.Rmd | 2 +- 19 files changed, 97 insertions(+), 59 deletions(-)
Title: 'A5' Discrete Global Grid System
Description: Bindings for the "A5 geospatial index"
<https://a5geo.org/>. 'A5' partitions the Earth's surface into
pentagonal cells across 31 resolution levels using an equal-area
projection onto a dodecahedron. Provides functions for indexing
coordinates to cells, traversing the cell hierarchy, computing cell
boundaries, and compacting/uncompacting cell sets. Powered by the
'A5' 'Rust' crate via 'extendr'.
Author: Hugh Graham [aut, cre],
belian.earth [cph]
Maintainer: Hugh Graham <hugh@belian.earth>
Diff between a5R versions 0.3.1 dated 2026-03-26 and 0.4.0 dated 2026-05-14
DESCRIPTION | 18 ++-- MD5 | 86 +++++++++++++---------- NAMESPACE | 2 NEWS.md | 42 +++++++++++ R/a5R-package.R | 5 - R/extendr-wrappers.R | 31 +++++++- R/grid.R | 34 ++++++++- R/indexing.R | 25 +++--- R/regions.R |only README.md | 7 + build/vignette.rds |binary inst/doc/a5R.R | 27 ++++++- inst/doc/a5R.Rmd | 83 ++++++++++++++++++---- inst/doc/a5R.html | 105 ++++++++++++++++++++--------- inst/doc/arrow-parquet.R | 8 +- inst/doc/arrow-parquet.Rmd | 25 +++--- inst/doc/arrow-parquet.html | 22 +++--- inst/doc/internal-cell-representation.Rmd | 10 +- inst/doc/internal-cell-representation.html | 8 +- inst/doc/multithreading.R | 2 inst/doc/multithreading.Rmd | 13 +-- inst/doc/multithreading.html | 34 ++++++--- inst/doc/traversal-and-distance.Rmd | 5 - inst/doc/traversal-and-distance.html | 10 +- man/a5R-package.Rd | 10 ++ man/a5_cell_area.Rd | 2 man/a5_cell_distance.Rd | 2 man/a5_cell_to_lonlat.Rd | 19 ++--- man/a5_grid.Rd | 8 +- man/a5_linestring_to_cells.Rd |only man/a5_polygon_to_cells.Rd |only man/figures/lifecycle-deprecated.svg |only man/figures/lifecycle-experimental.svg |only man/figures/lifecycle-stable.svg |only man/figures/lifecycle-superseded.svg |only src/rust/Cargo.lock | 4 - src/rust/Cargo.toml | 2 src/rust/src/lib.rs | 2 src/rust/src/regions.rs |only src/rust/vendor.tar.xz |binary tests/testthat/helper-lifecycle.R |only tests/testthat/test-grid.R | 26 +++++++ tests/testthat/test-indexing.R | 23 ++++-- tests/testthat/test-regions.R |only vignettes/a5R.Rmd | 83 ++++++++++++++++++---- vignettes/arrow-parquet.Rmd | 25 +++--- vignettes/internal-cell-representation.Rmd | 10 +- vignettes/multithreading.Rmd | 13 +-- vignettes/traversal-and-distance.Rmd | 5 - 49 files changed, 587 insertions(+), 249 deletions(-)
Title: Interface to 'Sensor Tower' Mobile App Intelligence API
Description: Interface to the 'Sensor Tower' API <https://app.sensortower.com/api/docs/app_analysis>
for mobile app analytics and market intelligence. Provides a small, consistent
set of functions to retrieve app metadata, publisher information, download and
revenue estimates, active user metrics, category rankings, aggregate game
market denominators, and market trends.
Four core verbs ('st_metrics', 'st_rankings', 'st_app'/'st_apps', 'st_filter')
cover the common workflows with standardized parameters and tidyverse-friendly
output. Supports both iOS and Android app ecosystems with unified data structures
for cross-platform analysis.
Author: Phillip Black [aut, cre]
Maintainer: Phillip Black <pblack@gameeconomistconsulting.com>
Diff between sensortowerR versions 1.0.0 dated 2026-04-25 and 1.0.1 dated 2026-05-14
DESCRIPTION | 9 - MD5 | 43 ++-- NAMESPACE | 1 R/st_batch_metrics.R | 258 ++++++++++++++--------------- R/st_game_summary.R | 166 ++++++++++++++---- R/st_market_metrics.R |only R/st_metrics.R | 55 +++++- R/utils.R | 4 R/zzz.R | 3 README.md | 41 ++++ inst/doc/tidy-active-users.Rmd | 8 inst/doc/tidy-active-users.html | 8 man/st_game_summary.Rd | 34 ++- man/st_market_metrics.Rd |only tests/testthat/helper-api-mocks.R |only tests/testthat/helper-auth.R | 5 tests/testthat/test-live-smoke.R |only tests/testthat/test-os-parameter.R | 3 tests/testthat/test-rhub-cran-checks.R | 2 tests/testthat/test-sensortowerR.R | 5 tests/testthat/test-st_batch_metrics_ids.R |only tests/testthat/test-st_filter.R | 3 tests/testthat/test-st_game_summary.R |only tests/testthat/test-st_market_metrics.R |only tests/testthat/test-st_metrics.R | 124 +++++++++++++ vignettes/tidy-active-users.Rmd | 8 26 files changed, 556 insertions(+), 224 deletions(-)
Title: Representation for Glycan Compositions and Structures
Description: Computational representations of glycan compositions and structures,
including details such as linkages, anomers, and substituents. Supports varying
levels of monosaccharide specificity (e.g., "Hex" or "Gal") and ambiguous linkages.
Provides robust parsing and generation of IUPAC-condensed structure strings.
Optimized for vectorized operations on glycan structures, with efficient handling
of duplications. As the cornerstone of the glycoverse ecosystem, this package
delivers the foundational data structures that power glycomics and glycoproteomics
analysis workflows.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>
Diff between glyrepr versions 0.11.0 dated 2026-04-26 and 0.12.0 dated 2026-05-14
DESCRIPTION | 6 - MD5 | 24 ++-- NAMESPACE | 2 NEWS.md | 7 + R/fill-anomer-pos.R |only R/monosaccharide.R | 187 ++++++++++++++++++++-------------- R/structure-level.R | 11 +- inst/doc/glycan-graph.html | 6 - inst/doc/glyrepr.html | 8 - inst/doc/smap.html | 4 man/fill_anomer_pos.Rd |only man/get_anomer_pos.Rd |only tests/testthat/test-fill-anomer-pos.R |only tests/testthat/test-monosaccharide.R | 22 ++++ tests/testthat/test-structure-level.R | 12 +- 15 files changed, 184 insertions(+), 105 deletions(-)
Title: Handling and Analysing EQ-5d Data
Description: The EQ-5D is a widely-used standarized instrument for measuring Health Related Quality Of Life (HRQOL),
developed by the EuroQol group <https://euroqol.org/>. It assesses five dimensions; mobility, self-care,
usual activities, pain/discomfort, and anxiety/depression, using either a three-level (EQ-5D-3L) or five-level (EQ-5D-5L) scale.
Scores from these dimensions are commonly converted into a single utility index using country-specific value sets,
which are critical in clinical and economic evaluations of healthcare and in population health surveys.
The eq5dsuite package enables users to calculate utility index values for the EQ-5D instruments,
including crosswalk utilities using the original crosswalk developed by van Hout et al. (2012) <doi:10.1016/j.jval.2012.02.008>
(mapping EQ-5D-5L responses to EQ-5D-3L index values), or the recently developed reverse crosswalk
by van Hout et al. (2021) <doi:10.1016/j.jval.2021.03.009> (mapping EQ-5D-3L responses
to EQ-5D-5L in [...truncated...]
Author: Kim Rand [aut, cre] ,
Oliver Rivero-Arias [aut] ,
Iryna Schlackow [aut] ,
Anabel Estevez-Carrillo [aut]
Maintainer: Kim Rand <krand@mathsinhealth.com>
Diff between eq5dsuite versions 1.0.3 dated 2026-04-11 and 2.0.0 dated 2026-05-14
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Title: Principal Stratification Analysis in R
Description: Estimating causal effects in the presence of post-treatment confounding
using principal stratification. 'PStrata' allows for customized monotonicity
assumptions and exclusion restriction assumptions, with automatic full Bayesian
inference supported by 'Stan'. The main workflow is PStrataModel() to specify the
model, fit() to run MCMC sampling, estimate() to extract potential outcomes, and
contrast() to compute causal effects. Visualization tools are provided for
diagnosis and interpretation. See Liu and Li (2023)
<doi:10.48550/arXiv.2304.02740> for details.
Author: Bo Liu [aut, cre],
Fan Li [ctb]
Maintainer: Bo Liu <bo.liu1997@gmail.com>
Diff between PStrata versions 0.1.0 dated 2026-03-08 and 1.0.0 dated 2026-05-14
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Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-11-10 0.1.8
2019-06-25 0.1.7
2018-03-27 0.1.6
2017-04-30 0.1.4
2016-06-02 0.1.2
Title: Estimation and Inference for Boundary Discontinuity Designs
Description: Provides pointwise and uniform estimation and inference methods for boundary discontinuity (BD) designs,
a causal inference design that generalizes univariate regression discontinuity (RD) designs to settings with bivariate scores.
Implements local polynomial methods for location-based and distance-based analyses, including sharp and fuzzy designs,
data-driven bandwidth selection, pointwise confidence intervals, and uniform confidence bands. Methodology is developed in
Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2505.05670> for location-based methods and
Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2510.26051> for distance-based methods.
For an overview and empirical guidance, see Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2511.06474>.
The companion software article is Cattaneo, Titiunik, and Yu (2025) <doi:10.48550/arXiv.2505.07989>.
Author: Matias D. Cattaneo [aut, cre],
Rocio Titiunik [aut],
Ruiqi Rae Yu [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>
Diff between rd2d versions 0.0.3 dated 2025-10-24 and 0.1.0 dated 2026-05-14
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Title: Sample Size and Power for Propensity Score Weighted Estimators
Description: Computes sample size and power for causal inference studies that
use propensity score (PS) weighting. Supports continuous, binary, and
time-to-event (survival) outcomes under four estimands: average treatment
effect (ATE), average treatment effect on the treated (ATT), average
treatment effect on the controls (ATC), and average treatment effect on
the overlap population (ATO). For continuous and binary outcomes, the
asymptotic variance of the Hajek inverse probability weighting estimator
is derived under a logit-normal propensity score model, approximated by a
Beta distribution matched through the Bhattacharyya overlap coefficient.
For survival outcomes, the asymptotic variance of the propensity-score-
weighted partial likelihood estimator is used for randomized trials and
observational studies. The Schoenfeld formula is also available for
randomized trial settings.
Author: Bo Liu [aut, cre],
Chengxin Yang [aut],
Fan Li [aut]
Maintainer: Bo Liu <bo.liu1997@gmail.com>
Diff between PSpower versions 0.1.1 dated 2025-04-02 and 2.0.0 dated 2026-05-14
PSpower-0.1.1/PSpower/LICENSE |only PSpower-0.1.1/PSpower/R/PSpower.R |only PSpower-0.1.1/PSpower/R/overlap.R |only PSpower-0.1.1/PSpower/R/util.R |only PSpower-0.1.1/PSpower/README.md |only PSpower-0.1.1/PSpower/man/PSpower.Rd |only PSpower-0.1.1/PSpower/man/plot.PSpower.Rd |only PSpower-0.1.1/PSpower/man/plot_overlap.Rd |only PSpower-0.1.1/PSpower/man/print.PSpower.Rd |only PSpower-2.0.0/PSpower/DESCRIPTION | 50 +++++++++++++++++++---------- PSpower-2.0.0/PSpower/MD5 | 27 +++++++++------ PSpower-2.0.0/PSpower/NAMESPACE | 24 +++++-------- PSpower-2.0.0/PSpower/NEWS.md |only PSpower-2.0.0/PSpower/R/overlap_coef.R |only PSpower-2.0.0/PSpower/R/power_cox.R |only PSpower-2.0.0/PSpower/R/power_ps.R |only PSpower-2.0.0/PSpower/R/utils_internal.R |only PSpower-2.0.0/PSpower/R/zzz.R |only PSpower-2.0.0/PSpower/build |only PSpower-2.0.0/PSpower/inst |only PSpower-2.0.0/PSpower/man/overlap_coef.Rd |only PSpower-2.0.0/PSpower/man/power_cox.Rd |only PSpower-2.0.0/PSpower/man/power_ps.Rd |only PSpower-2.0.0/PSpower/vignettes |only 24 files changed, 58 insertions(+), 43 deletions(-)
Title: Survival Prediction with Multi-Task Logistic Regression
Description: An implementation of Multi-Task Logistic Regression (MTLR) for R.
This package is based on the method proposed by Yu et al. (2011) which utilized MTLR for generating individual survival curves
by learning feature weights which vary across time. This model was further extended to account for left and interval censored data.
Author: Humza Haider [aut, cre]
Maintainer: Humza Haider <humzahaider0@gmail.com>
Diff between MTLR versions 0.2.1 dated 2019-06-03 and 0.2.2 dated 2026-05-14
DESCRIPTION | 21 MD5 | 74 NAMESPACE | 1 NEWS.md | 6 R/method.R | 10 R/mtlr_cv.R | 1 R/plotcurves.R | 10 R/utility.R | 3 README.md | 55 build/vignette.rds |binary inst/doc/workflow.R | 34 inst/doc/workflow.html | 804 +++++++--- man/create_folds.Rd | 8 man/figures/README-example-1.png |binary man/figures/README-example-2.png |binary man/mtlr.Rd | 19 man/mtlr_cv.Rd | 26 man/plot.mtlr.Rd | 3 man/plotcurves.Rd | 3 man/predict.mtlr.Rd | 11 src/RcppExports.cpp | 5 tests/figs/deps.txt | 2 tests/figs/plotcurves-is-consistent-with-previous-plots/manycurves.svg | 184 +- tests/figs/plotcurves-is-consistent-with-previous-plots/onecurve.svg | 148 - tests/figs/plotcurves-is-consistent-with-previous-plots/onepinkcurve.svg | 148 - tests/figs/plotcurves-is-consistent-with-previous-plots/shortcurve.svg | 151 - tests/figs/testing-methods-for-mtlr-objects/baseplot.svg | 330 ++-- tests/testthat/_snaps |only tests/testthat/helper-utils.R |only tests/testthat/mtlrcv_censored.rds |binary tests/testthat/mtlrcv_leuk.rds |binary tests/testthat/mtlrcv_lung.rds |binary tests/testthat/mtlrcv_mixed_censoring.rds |binary tests/testthat/mtlrcv_uncensored.rds |binary tests/testthat/test-method.R | 2 tests/testthat/test-mtlr_cv.R | 8 tests/testthat/test-plotcurves.R | 14 37 files changed, 1290 insertions(+), 791 deletions(-)
Title: Regression Standardization for Causal Inference
Description: Contains more modern tools for causal inference using regression
standardization. Four general classes of models are implemented; generalized
linear models, conditional generalized estimating equation models,
Cox proportional hazards models, and shared frailty gamma-Weibull models.
Methodological details are described in Sjölander, A. (2016) <doi:10.1007/s10654-016-0157-3>.
Also includes functionality for doubly robust estimation for generalized linear models
in some special cases, and the ability to implement custom models.
Author: Michael C Sachs [aut, cre],
Arvid Sjoelander [aut],
Erin E Gabriel [aut],
Johan Sebastian Ohlendorff [aut],
Adam Brand [aut]
Maintainer: Michael C Sachs <sachsmc@gmail.com>
Diff between stdReg2 versions 1.0.3 dated 2025-02-28 and 1.0.7 dated 2026-05-14
DESCRIPTION | 20 ++++--- MD5 | 50 ++++++++++-------- NEWS.md | 13 ++++ R/data.R |only R/glm_methods.R | 4 - R/parfrailty_methods.R | 20 +++++++ R/standardize_custom.R | 3 + R/utils.R | 5 + README.md | 49 ++++++++++------- build/partial.rdb |binary build/vignette.rds |binary data |only inst/CITATION |only inst/doc/custom.Rmd | 2 inst/doc/custom.html | 23 +++++++- inst/doc/overview.html | 93 +++++++++++++++++----------------- man/clslowbwt.Rd |only man/figures/README-example-1.png |binary man/parfrailty.Rd | 10 +++ man/singapore.Rd |only man/standardize.Rd | 2 man/standardize_glm.Rd | 1 man/standardize_glm_dr.Rd | 3 - man/standardize_parfrailty.Rd | 10 +++ man/stdReg2-package.Rd | 3 - tests/testthat/test-standardize_glm.R | 29 +++++++--- vignettes/custom.Rmd | 2 vignettes/references.bib | 33 ++++++++++++ 28 files changed, 255 insertions(+), 120 deletions(-)
Title: Easy Dockerfile Creation from R
Description: Build a Dockerfile straight from your R session.
'dockerfiler' allows you to create step by step a Dockerfile, and
provide convenient tools to wrap R code inside this Dockerfile.
Author: Colin Fay [cre, aut] ,
Vincent Guyader [aut] ,
Josiah Parry [aut] ,
Sebastien Rochette [aut]
Maintainer: Colin Fay <contact@colinfay.me>
Diff between dockerfiler versions 0.2.5 dated 2025-05-07 and 1.0.0 dated 2026-05-14
dockerfiler-0.2.5/dockerfiler/R/renv.R |only dockerfiler-0.2.5/dockerfiler/inst/doc/dockerfile-from-renv-lock.R |only dockerfiler-0.2.5/dockerfiler/inst/doc/dockerfile-from-renv-lock.Rmd |only dockerfiler-0.2.5/dockerfiler/inst/doc/dockerfile-from-renv-lock.html |only dockerfiler-0.2.5/dockerfiler/inst/vendor |only dockerfiler-0.2.5/dockerfiler/man/renv.Rd |only dockerfiler-0.2.5/dockerfiler/vignettes/dockerfile-from-renv-lock.Rmd |only dockerfiler-1.0.0/dockerfiler/DESCRIPTION | 12 dockerfiler-1.0.0/dockerfiler/LICENSE | 4 dockerfiler-1.0.0/dockerfiler/MD5 | 89 dockerfiler-1.0.0/dockerfiler/NAMESPACE | 2 dockerfiler-1.0.0/dockerfiler/NEWS.md | 195 + dockerfiler-1.0.0/dockerfiler/R/add.R | 15 dockerfiler-1.0.0/dockerfiler/R/compact_sysreqs.R | 2 dockerfiler-1.0.0/dockerfiler/R/dock_from_desc.R | 189 + dockerfiler-1.0.0/dockerfiler/R/dock_from_renv.R | 366 ++ dockerfiler-1.0.0/dockerfiler/R/dockerfile.R | 22 dockerfiler-1.0.0/dockerfiler/R/dockerignore.R | 2 dockerfiler-1.0.0/dockerfiler/R/gen_base_image.R | 9 dockerfiler-1.0.0/dockerfiler/R/get_sysreqs.R | 9 dockerfiler-1.0.0/dockerfiler/R/parse-dockerfile.R | 2 dockerfiler-1.0.0/dockerfiler/R/rthis.R | 18 dockerfiler-1.0.0/dockerfiler/R/utils.R | 379 ++ dockerfiler-1.0.0/dockerfiler/build/vignette.rds |binary dockerfiler-1.0.0/dockerfiler/inst/Dockerfile | 10 dockerfiler-1.0.0/dockerfiler/inst/doc/dockerfiler.R | 140 dockerfiler-1.0.0/dockerfiler/inst/doc/dockerfiler.Rmd | 49 dockerfiler-1.0.0/dockerfiler/inst/doc/dockerfiler.html | 958 +++--- dockerfiler-1.0.0/dockerfiler/inst/renv.lock | 1398 ++++----- dockerfiler-1.0.0/dockerfiler/inst/renv_with_1.0.0.lock | 1418 +++++----- dockerfiler-1.0.0/dockerfiler/man/Dockerfile.Rd | 19 dockerfiler-1.0.0/dockerfiler/man/dock_from_renv.Rd | 147 - dockerfiler-1.0.0/dockerfiler/man/dockerfiles.Rd | 91 dockerfiler-1.0.0/dockerfiler/man/get_sysreqs.Rd | 6 dockerfiler-1.0.0/dockerfiler/man/r.Rd | 13 dockerfiler-1.0.0/dockerfiler/tests/testthat/DESCRIPTION__ | 80 dockerfiler-1.0.0/dockerfiler/tests/testthat/Dockerfile | 14 dockerfiler-1.0.0/dockerfiler/tests/testthat/renv.lock | 54 dockerfiler-1.0.0/dockerfiler/tests/testthat/renv_Dockerfile | 21 dockerfiler-1.0.0/dockerfiler/tests/testthat/test-add.R |only dockerfiler-1.0.0/dockerfiler/tests/testthat/test-dock_from_desc.R | 591 ++++ dockerfiler-1.0.0/dockerfiler/tests/testthat/test-dock_from_renv.R | 1038 +++++++ dockerfiler-1.0.0/dockerfiler/tests/testthat/test-dockerbuild.R | 2 dockerfiler-1.0.0/dockerfiler/tests/testthat/test-dockerfile-parsing.R | 53 dockerfiler-1.0.0/dockerfiler/tests/testthat/test-dockerignore.R |only dockerfiler-1.0.0/dockerfiler/tests/testthat/test-get_sysreqs.R | 4 dockerfiler-1.0.0/dockerfiler/tests/testthat/test-r.R | 50 dockerfiler-1.0.0/dockerfiler/tests/testthat/test-r6.R | 69 dockerfiler-1.0.0/dockerfiler/tests/testthat/test-utils.R | 48 dockerfiler-1.0.0/dockerfiler/vignettes/dockerfiler.Rmd | 49 50 files changed, 5407 insertions(+), 2230 deletions(-)
Title: Stepwise Regression Analysis
Description: Stepwise regression is a statistical technique used for model selection. This package streamlines stepwise regression analysis by supporting multiple regression types(linear, Cox, logistic, Poisson, Gamma, and negative binomial), incorporating popular selection strategies(forward, backward, bidirectional, and subset), and offering essential metrics. It enables users to apply multiple selection strategies and metrics in a single function call, visualize variable selection processes, and export results in various formats. StepReg offers a data-splitting option to address potential issues with invalid statistical inference and a randomized forward selection option to avoid overfitting. We validated StepReg's accuracy using public datasets within the SAS software environment. For an interactive web interface, users can install the companion 'StepRegShiny' package.
Author: Junhui Li [cre] ,
Junhui Li [aut],
Kai Hu [aut],
Xiaohuan Lu [aut],
Wenxin Liu [aut],
Lihua Julie Zhu [aut]
Maintainer: Junhui Li <junhui.li11@umassmed.edu>
Diff between StepReg versions 1.6.2 dated 2026-01-11 and 1.6.4 dated 2026-05-14
DESCRIPTION | 14 ++------- MD5 | 8 ++--- R/stepwiseUtils.R | 2 - inst/doc/StepReg.html | 76 ++++++++++++++++++++++++------------------------- man/StepReg-package.Rd | 7 ---- 5 files changed, 47 insertions(+), 60 deletions(-)
Title: Visualizing Panel Data
Description: Visualizes panel data. It has four main functionalities: (1) it plots the treatment status and missing values in a panel dataset; (2) it visualizes the temporal dynamics of a main variable of interest; (3) it depicts the bivariate relationships between a treatment variable and an outcome variable either by unit or in aggregate; (4) it displays the network structure of multi-way fixed effects as a k-partite graph, identifying connected components, singletons, and duplicate observations. For details, see <doi:10.18637/jss.v107.i07>.
Author: Yiqing Xu [aut, cre] ,
Hongyu Mou [aut],
Licheng Liu [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>
Diff between panelView versions 1.3.0 dated 2026-04-10 and 1.3.1 dated 2026-05-14
DESCRIPTION | 8 +- MD5 | 15 ++- R/panelView.R | 20 +++++ R/plot-bivariate.R | 22 +++-- R/plot-network.R | 7 + R/plot-outcome.R | 199 +++++++++++++++++++++++++++++++++++------------------ R/plot-treat.R | 58 +++++++++++---- R/theme-modern.R |only man/panelView.Rd | 3 9 files changed, 230 insertions(+), 102 deletions(-)
Title: A Simple Way to Specify Symmetric, Block Diagonal Matrices
Description: Provides a simple mechanism to specify a symmetric block
diagonal matrices (often used for covariance matrices). This is based
on the domain specific language implemented in 'nlmixr2' but expanded
to create matrices in R generally instead of specifying parts of
matrices to estimate. It has expanded to include some matrix manipulation
functions that are generally useful for 'rxode2' and 'nlmixr2'.
Author: Matthew L. Fidler [aut, cre] ,
Mauricio Vargas Sepulveda [ctb] ,
Bill Denney [ctb]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>
Diff between lotri versions 1.0.3 dated 2026-03-11 and 1.0.4 dated 2026-05-14
DESCRIPTION | 11 MD5 | 50 +-- NEWS.md | 22 + R/lotri.R | 57 +-- build/vignette.rds |binary inst/doc/lotri-motivation.html | 12 src/asLotriMat.c | 8 src/lotriBounds.c | 10 src/lotriLstToMat.c | 33 +- src/lotriLstToMat.h | 6 src/lotriProp.c | 37 +- src/lotriProp.h | 6 src/matlist.c | 16 - src/matlist.h | 30 +- src/nearPD.cpp | 11 src/rcm.cpp | 8 tests/testthat/test-as.data.frame.R | 28 + tests/testthat/test-as.expression.R |only tests/testthat/test-as.lotri.R | 24 + tests/testthat/test-as.lotri2.R |only tests/testthat/test-lotri-matrix.R | 18 + tests/testthat/test-lotri.R | 424 +++++++++++++++++++++++++++++ tests/testthat/test-lotriMatInv.R |only tests/testthat/test-lotriPtrs.R |only tests/testthat/test-nearPD.R | 26 + tests/testthat/test-print.R |only tests/testthat/test-rcm.R | 13 tests/testthat/test-thread-safety-memory.R |only tests/testthat/test-transformations.R | 38 ++ 29 files changed, 742 insertions(+), 146 deletions(-)
Title: Quickly Find, Extract, and Marginalize U.S. Census Tables
Description: Extracting desired data using the proper Census variable names can
be time-consuming. This package takes the pain out of that process by
providing functions to quickly locate variables and download labeled tables
from the Census APIs (<https://www.census.gov/data/developers/data-sets.html>).
Author: Cory McCartan [aut, cre]
Maintainer: Cory McCartan <mccartan@psu.edu>
Diff between easycensus versions 1.1.3 dated 2025-02-19 and 1.1.4 dated 2026-05-14
DESCRIPTION | 8 MD5 | 30 +-- R/cens_find.R | 31 +-- R/cens_geo.R | 87 ++++++---- R/cens_get.R | 316 ++++++++++++++++++++++++--------------- R/easycensus-package.R | 4 R/estimate.R | 179 +++++++++++----------- R/parse_table.R | 46 +++-- R/table.R | 29 +-- R/tidy_labels.R | 83 +++++----- R/utils.R | 17 +- man/cens_geo.Rd | 2 tests/testthat/test-estimate.R | 16 - tests/testthat/test-find_table.R | 4 tests/testthat/test-get_table.R | 10 - tests/testthat/test-tidiers.R | 17 +- 16 files changed, 499 insertions(+), 380 deletions(-)
Title: Leveraging Experiment Lines to Data Analytics
Description: The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_2 [...truncated...]
Author: Eduardo Ogasawara [aut, ths, cre] ,
Ana Carolina Sá [aut],
Antonio Castro [aut],
Caio Santos [aut],
Diego Carvalho [ctb],
Diego Salles [aut],
Eduardo Bezerra [ctb],
Esther Pacitti [ctb],
Fabio Porto [ctb],
Janio Lima [aut],
Lucas Tavares [aut],
Ra [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>
Diff between daltoolbox versions 1.3.727 dated 2026-03-12 and 1.3.747 dated 2026-05-14
daltoolbox-1.3.727/daltoolbox/R/graphics_plot_bar.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_boxplot.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_boxplot_class.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_correlation.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_dendrogram.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_density.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_density_class.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_groupedbar.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_hist.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_lollipop.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_pair.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_pair_adv.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_parallel.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_pieplot.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_pixel.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_points.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_radar.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_scatter.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_series.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_stackedbar.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_ts.R |only daltoolbox-1.3.727/daltoolbox/R/graphics_plot_ts_pred.R |only daltoolbox-1.3.727/daltoolbox/R/trans_sample_cluster.R |only daltoolbox-1.3.727/daltoolbox/man/sample_cluster.Rd |only daltoolbox-1.3.747/daltoolbox/DESCRIPTION | 8 daltoolbox-1.3.747/daltoolbox/MD5 | 278 +++++----- daltoolbox-1.3.747/daltoolbox/NAMESPACE | 18 daltoolbox-1.3.747/daltoolbox/R/cla_bagging.R | 24 daltoolbox-1.3.747/daltoolbox/R/cla_boosting.R | 18 daltoolbox-1.3.747/daltoolbox/R/cla_classification.R | 77 ++ daltoolbox-1.3.747/daltoolbox/R/cla_glm.R | 34 - daltoolbox-1.3.747/daltoolbox/R/cla_glmnet.R | 46 - daltoolbox-1.3.747/daltoolbox/R/cla_majority.R | 63 +- daltoolbox-1.3.747/daltoolbox/R/cla_multinom.R | 26 daltoolbox-1.3.747/daltoolbox/R/cla_rpart.R | 18 daltoolbox-1.3.747/daltoolbox/R/cla_svm.R | 3 daltoolbox-1.3.747/daltoolbox/R/cla_tune.R | 2 daltoolbox-1.3.747/daltoolbox/R/cla_xgboost.R | 55 + daltoolbox-1.3.747/daltoolbox/R/clu_clusterer.R | 179 +++++- daltoolbox-1.3.747/daltoolbox/R/clu_cmeans.R | 35 + daltoolbox-1.3.747/daltoolbox/R/clu_dbscan.R | 35 + daltoolbox-1.3.747/daltoolbox/R/clu_gmm.R | 50 + daltoolbox-1.3.747/daltoolbox/R/clu_hclust.R | 53 + daltoolbox-1.3.747/daltoolbox/R/clu_kmeans.R | 61 +- daltoolbox-1.3.747/daltoolbox/R/clu_louvain.R | 34 + daltoolbox-1.3.747/daltoolbox/R/clu_pam.R | 55 + daltoolbox-1.3.747/daltoolbox/R/clu_tune.R | 69 +- daltoolbox-1.3.747/daltoolbox/R/clu_utils.R |only daltoolbox-1.3.747/daltoolbox/R/graphics_dal_graphics.R | 28 - daltoolbox-1.3.747/daltoolbox/R/grf_bar.R |only daltoolbox-1.3.747/daltoolbox/R/grf_boxplot.R |only daltoolbox-1.3.747/daltoolbox/R/grf_boxplot_class.R |only daltoolbox-1.3.747/daltoolbox/R/grf_correlation.R |only daltoolbox-1.3.747/daltoolbox/R/grf_dendrogram.R |only daltoolbox-1.3.747/daltoolbox/R/grf_density.R |only daltoolbox-1.3.747/daltoolbox/R/grf_density_class.R |only daltoolbox-1.3.747/daltoolbox/R/grf_groupedbar.R |only daltoolbox-1.3.747/daltoolbox/R/grf_hist.R |only daltoolbox-1.3.747/daltoolbox/R/grf_lollipop.R |only daltoolbox-1.3.747/daltoolbox/R/grf_pair.R |only daltoolbox-1.3.747/daltoolbox/R/grf_pair_adv.R |only daltoolbox-1.3.747/daltoolbox/R/grf_parallel.R |only daltoolbox-1.3.747/daltoolbox/R/grf_pieplot.R |only daltoolbox-1.3.747/daltoolbox/R/grf_pixel.R |only daltoolbox-1.3.747/daltoolbox/R/grf_points.R |only daltoolbox-1.3.747/daltoolbox/R/grf_radar.R |only daltoolbox-1.3.747/daltoolbox/R/grf_scatter.R |only daltoolbox-1.3.747/daltoolbox/R/grf_series.R |only daltoolbox-1.3.747/daltoolbox/R/grf_stackedbar.R |only daltoolbox-1.3.747/daltoolbox/R/grf_ts.R |only daltoolbox-1.3.747/daltoolbox/R/grf_ts_pred.R |only daltoolbox-1.3.747/daltoolbox/R/pat_apriori.R | 154 ++++- daltoolbox-1.3.747/daltoolbox/R/pat_cspade.R | 89 ++- daltoolbox-1.3.747/daltoolbox/R/pat_eclat.R | 90 ++- daltoolbox-1.3.747/daltoolbox/R/pat_pattern_miner.R | 177 +++++- daltoolbox-1.3.747/daltoolbox/R/pat_utils.R |only daltoolbox-1.3.747/daltoolbox/R/reg_lm.R | 20 daltoolbox-1.3.747/daltoolbox/R/reg_mlp.R | 2 daltoolbox-1.3.747/daltoolbox/R/reg_regression.R | 3 daltoolbox-1.3.747/daltoolbox/R/reg_rf.R | 2 daltoolbox-1.3.747/daltoolbox/R/reg_svm.R | 3 daltoolbox-1.3.747/daltoolbox/R/reg_tune.R | 4 daltoolbox-1.3.747/daltoolbox/R/trans_dt_pca.R | 30 - daltoolbox-1.3.747/daltoolbox/R/trans_feature_selection_fss.R | 15 daltoolbox-1.3.747/daltoolbox/R/trans_feature_selection_lasso.R | 15 daltoolbox-1.3.747/daltoolbox/R/trans_feature_selection_relief.R | 5 daltoolbox-1.3.747/daltoolbox/R/trans_feature_selection_stepwise.R | 14 daltoolbox-1.3.747/daltoolbox/R/trans_fit_curvature_min.R | 2 daltoolbox-1.3.747/daltoolbox/R/trans_imputation_predictive.R |only daltoolbox-1.3.747/daltoolbox/R/trans_imputation_simple.R | 98 ++- daltoolbox-1.3.747/daltoolbox/R/trans_imputation_tree.R |only daltoolbox-1.3.747/daltoolbox/R/trans_outliers_boxplot.R | 20 daltoolbox-1.3.747/daltoolbox/R/trans_outliers_gaussian.R | 22 daltoolbox-1.3.747/daltoolbox/R/trans_sample_balance.R | 9 daltoolbox-1.3.747/daltoolbox/R/trans_sample_groups.R |only daltoolbox-1.3.747/daltoolbox/R/trans_sample_oversampling.R | 9 daltoolbox-1.3.747/daltoolbox/R/trans_sample_random.R | 108 ++- daltoolbox-1.3.747/daltoolbox/R/trans_sample_simple.R | 11 daltoolbox-1.3.747/daltoolbox/R/trans_sample_strat.R | 59 +- daltoolbox-1.3.747/daltoolbox/R/trans_sample_subsampling.R | 9 daltoolbox-1.3.747/daltoolbox/R/trans_smoothing.R | 15 daltoolbox-1.3.747/daltoolbox/R/trans_smoothing_cluster.R | 103 ++- daltoolbox-1.3.747/daltoolbox/R/trans_smoothing_freq.R | 3 daltoolbox-1.3.747/daltoolbox/R/trans_smoothing_inter.R | 3 daltoolbox-1.3.747/daltoolbox/R/trans_smoothing_quantization.R |only daltoolbox-1.3.747/daltoolbox/README.md | 72 +- daltoolbox-1.3.747/daltoolbox/man/bal_oversampling.Rd | 6 daltoolbox-1.3.747/daltoolbox/man/bal_subsampling.Rd | 6 daltoolbox-1.3.747/daltoolbox/man/cla_bagging.Rd | 3 daltoolbox-1.3.747/daltoolbox/man/cla_boosting.Rd | 3 daltoolbox-1.3.747/daltoolbox/man/cla_glm.Rd | 3 daltoolbox-1.3.747/daltoolbox/man/cla_glmnet.Rd | 9 daltoolbox-1.3.747/daltoolbox/man/cla_multinom.Rd | 3 daltoolbox-1.3.747/daltoolbox/man/cla_rpart.Rd | 3 daltoolbox-1.3.747/daltoolbox/man/cla_svm.Rd | 8 daltoolbox-1.3.747/daltoolbox/man/cla_xgboost.Rd | 12 daltoolbox-1.3.747/daltoolbox/man/classification.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/clu_tune.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/cluster_gmm.Rd | 12 daltoolbox-1.3.747/daltoolbox/man/cluster_hclust.Rd | 5 daltoolbox-1.3.747/daltoolbox/man/clusterer.Rd | 10 daltoolbox-1.3.747/daltoolbox/man/cluutils.Rd |only daltoolbox-1.3.747/daltoolbox/man/dt_pca.Rd | 3 daltoolbox-1.3.747/daltoolbox/man/feature_selection_fss.Rd | 11 daltoolbox-1.3.747/daltoolbox/man/feature_selection_lasso.Rd | 11 daltoolbox-1.3.747/daltoolbox/man/feature_selection_relief.Rd | 5 daltoolbox-1.3.747/daltoolbox/man/feature_selection_stepwise.Rd | 14 daltoolbox-1.3.747/daltoolbox/man/fit_curvature_min.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/imputation_predictive.Rd |only daltoolbox-1.3.747/daltoolbox/man/imputation_simple.Rd | 21 daltoolbox-1.3.747/daltoolbox/man/imputation_tree.Rd |only daltoolbox-1.3.747/daltoolbox/man/pat_apriori.Rd | 59 +- daltoolbox-1.3.747/daltoolbox/man/pat_cspade.Rd | 46 + daltoolbox-1.3.747/daltoolbox/man/pat_eclat.Rd | 45 + daltoolbox-1.3.747/daltoolbox/man/pattern_miner.Rd | 12 daltoolbox-1.3.747/daltoolbox/man/patutils.Rd |only daltoolbox-1.3.747/daltoolbox/man/plot_bar.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_boxplot.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_boxplot_class.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_correlation.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_dendrogram.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_density.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_density_class.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_groupedbar.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_hist.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_lollipop.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_pair.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_pair_adv.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_parallel.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_pieplot.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_pixel.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_points.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_radar.Rd | 9 daltoolbox-1.3.747/daltoolbox/man/plot_scatter.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_series.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_stackedbar.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_ts.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/plot_ts_pred.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/reg_lm.Rd | 9 daltoolbox-1.3.747/daltoolbox/man/reg_svm.Rd | 7 daltoolbox-1.3.747/daltoolbox/man/reg_tune.Rd | 2 daltoolbox-1.3.747/daltoolbox/man/sample_balance.Rd | 6 daltoolbox-1.3.747/daltoolbox/man/sample_groups.Rd |only daltoolbox-1.3.747/daltoolbox/man/sample_simple.Rd | 8 daltoolbox-1.3.747/daltoolbox/man/smoothing.Rd | 13 daltoolbox-1.3.747/daltoolbox/man/smoothing_cluster.Rd | 21 daltoolbox-1.3.747/daltoolbox/man/smoothing_freq.Rd | 3 daltoolbox-1.3.747/daltoolbox/man/smoothing_inter.Rd | 3 daltoolbox-1.3.747/daltoolbox/man/smoothing_quantization.Rd |only 169 files changed, 2029 insertions(+), 845 deletions(-)
Title: Convert Statistical Objects into Tidy Tibbles
Description: Summarizes key information about statistical objects in tidy
tibbles. This makes it easy to report results, create plots and
consistently work with large numbers of models at once. Broom
provides three verbs that each provide different types of information
about a model. tidy() summarizes information about model components
such as coefficients of a regression. glance() reports information
about an entire model, such as goodness of fit measures like AIC and
BIC. augment() adds information about individual observations to a
dataset, such as fitted values or influence measures.
Author: David Robinson [aut],
Alex Hayes [aut] ,
Simon Couch [aut] ,
Emil Hvitfeldt [aut, cre] ,
Posit Software, PBC [cph, fnd] ,
Indrajeet Patil [ctb] ,
Derek Chiu [ctb],
Matthieu Gomez [ctb],
Boris Demeshev [ctb],
Dieter Menne [ctb],
Benjamin Nutter [ctb], [...truncated...]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>
Diff between broom versions 1.0.12 dated 2026-01-27 and 1.0.13 dated 2026-05-14
broom-1.0.12/broom/R/sysdata.rda |only broom-1.0.12/broom/tests/testthat/_snaps/utilities.new.md |only broom-1.0.13/broom/DESCRIPTION | 6 ++-- broom-1.0.13/broom/MD5 | 21 ++++++-------- broom-1.0.13/broom/NEWS.md | 4 ++ broom-1.0.13/broom/R/stats-glm.R | 6 +++- broom-1.0.13/broom/inst/doc/adding-tidiers.html | 4 +- broom-1.0.13/broom/inst/doc/available-methods.html | 4 +- broom-1.0.13/broom/inst/doc/bootstrapping.html | 4 +- broom-1.0.13/broom/inst/doc/broom.html | 4 +- broom-1.0.13/broom/inst/doc/broom_and_dplyr.html | 6 ++-- broom-1.0.13/broom/tests/testthat/fixtures |only broom-1.0.13/broom/tests/testthat/test-joineRML.R | 3 +- 13 files changed, 35 insertions(+), 27 deletions(-)