Title: Biological Sequences Retrieval and Analysis
Description: Exploratory data analysis and data visualization
for biological sequence (DNA and protein) data. Seqinr includes
utilities for sequence data management under the ACNUC system
described in Gouy, M. et al. (1984) Nucleic Acids Res.
12:121-127 <doi:10.1093/nar/12.1Part1.121>.
Author: Delphine Charif [aut],
Olivier Clerc [ctb],
Carolin Frank [ctb],
Jean R. Lobry [aut, cph],
Anamaria Necsulea [ctb],
Leonor Palmeira [ctb],
Simon Penel [cre],
Guy Perriere [ctb]
Maintainer: Simon Penel <simon.penel@univ-lyon1.fr>
Diff between seqinr versions 4.2-36 dated 2023-12-08 and 4.2-44 dated 2026-04-28
DESCRIPTION | 9 ++++----- MD5 | 30 +++++++++++++++--------------- R/consensus.R | 24 ++++++++++++++++-------- R/getTrans.R | 32 ++++++++++++++++++++------------ R/read.alignment.R | 22 +++++++++++++++++----- R/translate.R | 6 ++++-- build/partial.rdb |binary man/EXP.Rd | 4 ---- man/amb.Rd | 2 +- man/bma.Rd | 2 +- man/consensus.Rd | 36 ++++++++++++++++++++++++------------ man/getTrans.Rd | 19 +++++++++++-------- man/lseqinr.Rd | 6 +++--- man/oriloc.Rd | 7 ------- man/read.alignment.Rd | 7 +++++-- man/translate.Rd | 7 ++++++- 16 files changed, 127 insertions(+), 86 deletions(-)
Title: Random Hazard Forests
Description: Random Hazard Forests (RHF) extend Random Survival
Forests (RSF) by directly estimating the hazard function and by
accommodating time-dependent covariates through counting-process
style inputs. The package fits tree ensembles for dynamic survival
prediction, returning hazard, cumulative hazard, integrated hazard,
and related performance summaries for training and test data. The
methods build on Random Survival Forests described by Ishwaran et
al. (2008) <doi:10.1214/08-AOAS169> and on nonparametric hazard
modeling with time-dependent covariates described by Lee et
al. (2021) <doi:10.1214/20-AOS2028>.
Author: Hemant Ishwaran [aut],
Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>
Diff between randomForestRHF versions 1.0.0 dated 2026-04-23 and 1.0.1 dated 2026-04-28
DESCRIPTION | 8 ++++---- MD5 | 30 +++++++++++++++--------------- NEWS.md | 8 ++++++++ R/predict.rhf.workhorse.R | 8 ++++---- R/rhf.news.R | 2 +- R/rhf.workhorse.R | 2 +- R/utilities_additional.R | 1 - R/utilities_importance_methods.R | 6 ------ R/zzz.R | 2 +- inst/copyright | 2 -- src/Makevars | 5 +---- src/Makevars.win | 6 +++--- src/R_init_randomForestRHF.c | 22 +++++++++++----------- src/entry.c | 2 +- src/server.h | 3 +++ src/stackSubjectInfo.c | 2 +- 16 files changed, 54 insertions(+), 55 deletions(-)
More information about randomForestRHF at CRAN
Permanent link
Title: High-Level Plotting Built Upon 'ggplot2' and Other Plotting
Packages
Description: Provides high-level API and a wide range of options to create stunning, publication-quality plots effortlessly.
It is built upon 'ggplot2' and other plotting packages, and is designed to be easy to use and to work seamlessly with 'ggplot2' objects.
It is particularly useful for creating complex plots with multiple layers, facets, and annotations.
It also provides a set of functions to create plots for specific types of data, such as Venn diagrams, alluvial diagrams, and phylogenetic trees.
The package is designed to be flexible and customizable, and to work well with the 'ggplot2' ecosystem.
The API can be found at <https://pwwang.github.io/plotthis/reference/index.html>.
Author: Panwen Wang [aut, cre]
Maintainer: Panwen Wang <pwwang@pwwang.com>
Diff between plotthis versions 0.11.1 dated 2026-03-15 and 0.12.0 dated 2026-04-28
DESCRIPTION | 6 MD5 | 40 R/heatmap.R | 1341 +++++++++++++++++++++++++++------ man/Heatmap.Rd | 242 ++++- man/HeatmapAtomic.Rd | 185 +++- tests/testthat/Rplots.pdf |only tests/testthat/test-areaplot.R |only tests/testthat/test-barplot.R |only tests/testthat/test-boxviolinplot.R |only tests/testthat/test-chordplot.R |only tests/testthat/test-clustreeplot.R |only tests/testthat/test-corplot.R |only tests/testthat/test-densityhistoplot.R |only tests/testthat/test-dimplot.R |only tests/testthat/test-dotplot.R |only tests/testthat/test-enrich.R |only tests/testthat/test-gsea.R |only tests/testthat/test-heatmap.R |only tests/testthat/test-jitterplot.R |only tests/testthat/test-lineplot.R |only tests/testthat/test-manhattanplot.R |only tests/testthat/test-network.R |only tests/testthat/test-piechart.R |only tests/testthat/test-qqplot.R |only tests/testthat/test-radarplot.R |only tests/testthat/test-rarefactionplot.R |only tests/testthat/test-roccurve.R |only tests/testthat/test-sankeyplot.R |only tests/testthat/test-scatterplot.R |only tests/testthat/test-theming-extra.R |only tests/testthat/test-trendplot.R |only tests/testthat/test-upsetplot.R |only tests/testthat/test-utils-extra.R |only tests/testthat/test-velocityplot.R |only tests/testthat/test-venndiagram.R |only tests/testthat/test-volcanoplot.R |only tests/testthat/test-wordcloudplot.R |only 37 files changed, 1475 insertions(+), 339 deletions(-)
Title: Higher Level 'API' for 'torch'
Description: A high level interface for 'torch' providing utilities to reduce the
the amount of code needed for common tasks, abstract away torch details and
make the same code work on both the 'CPU' and 'GPU'. It's flexible enough to
support expressing a large range of models. It's heavily inspired by 'fastai' by
Howard et al. (2020) <doi:10.48550/arXiv.2002.04688>, 'Keras' by Chollet et al. (2015) and
'PyTorch Lightning' by Falcon et al. (2019) <doi:10.5281/zenodo.3828935>.
Author: Tomasz Kalinowski [ctb, cre],
Daniel Falbel [aut, cph],
Christophe Regouby [ctb],
RStudio [cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>
Diff between luz versions 0.5.1 dated 2025-10-30 and 0.5.2 dated 2026-04-28
DESCRIPTION | 16 +++++++++------- MD5 | 8 ++++---- NEWS.md | 7 +++++++ build/vignette.rds |binary man/evaluate.Rd | 8 ++++++++ 5 files changed, 28 insertions(+), 11 deletions(-)
Title: Delineating Temporal Dataset Shifts in Electronic Health Records
Description: Functions to delineate temporal dataset shifts in Electronic Health
Records through the projection and visualization of dissimilarities
among data temporal batches. This is done through the estimation of
data statistical distributions over time and their projection in
non-parametric statistical manifolds, uncovering the patterns of the
data latent temporal variability. 'EHRtemporalVariability' is
particularly suitable for multi-modal data and categorical variables
with a high number of values, common features of biomedical data where
traditional statistical process control or time-series methods may not
be appropriate. 'EHRtemporalVariability' allows you to explore and
identify dataset shifts through visual analytics formats such as
Data Temporal heatmaps and Information Geometric Temporal (IGT) plots.
An additional 'EHRtemporalVariability' Shiny app can be used to load
and explore the package results and even to allow the use of these
functions to those users non-experienced in R codi [...truncated...]
Author: Carlos Saez [aut, cre],
Alba Gutierrez-Sacristan [aut],
Isaac Kohane [aut],
Juan M Garcia-Gomez [aut],
Paul Avillach [aut],
Biomedical Data Science Lab, Universitat Politecnica de Valencia
[cph],
Department of Biomedical Informatics, Harvard Medical [...truncated...]
Maintainer: Carlos Saez <carsaesi@upv.es>
This is a re-admission after prior archival of version 1.2.1 dated 2024-01-26
Diff between EHRtemporalVariability versions 1.2.1 dated 2024-01-26 and 1.2.2 dated 2026-04-28
EHRtemporalVariability-1.2.1/EHRtemporalVariability/inst/extdata/icd9mappingFile.csv |only EHRtemporalVariability-1.2.1/EHRtemporalVariability/inst/extdata/nhdsSubset.csv |only EHRtemporalVariability-1.2.1/EHRtemporalVariability/vignettes/EHRtemporalVariability.md |only EHRtemporalVariability-1.2.1/EHRtemporalVariability/vignettes/biomed-central.csl |only EHRtemporalVariability-1.2.2/EHRtemporalVariability/DESCRIPTION | 12 EHRtemporalVariability-1.2.2/EHRtemporalVariability/MD5 | 43 EHRtemporalVariability-1.2.2/EHRtemporalVariability/NEWS.md | 5 EHRtemporalVariability-1.2.2/EHRtemporalVariability/R/allClasses.R | 6 EHRtemporalVariability-1.2.2/EHRtemporalVariability/R/estimateDataTemporalMap.R | 6 EHRtemporalVariability-1.2.2/EHRtemporalVariability/R/formatDate.R | 6 EHRtemporalVariability-1.2.2/EHRtemporalVariability/R/icd9toPheWAS.R | 12 EHRtemporalVariability-1.2.2/EHRtemporalVariability/README.md | 6 EHRtemporalVariability-1.2.2/EHRtemporalVariability/build/vignette.rds |binary EHRtemporalVariability-1.2.2/EHRtemporalVariability/inst/WORDLIST |only EHRtemporalVariability-1.2.2/EHRtemporalVariability/inst/doc/EHRtemporalVariability.R | 61 EHRtemporalVariability-1.2.2/EHRtemporalVariability/inst/doc/EHRtemporalVariability.Rmd | 85 EHRtemporalVariability-1.2.2/EHRtemporalVariability/inst/doc/EHRtemporalVariability.html | 1963 ++++------ EHRtemporalVariability-1.2.2/EHRtemporalVariability/inst/extdata/icd9mappingFile.csv.xz |only EHRtemporalVariability-1.2.2/EHRtemporalVariability/inst/extdata/nhdsSubset.csv.xz |only EHRtemporalVariability-1.2.2/EHRtemporalVariability/man/DataTemporalMap-class.Rd | 6 EHRtemporalVariability-1.2.2/EHRtemporalVariability/man/estimateDataTemporalMap-methods.Rd | 6 EHRtemporalVariability-1.2.2/EHRtemporalVariability/man/formatDate.Rd | 6 EHRtemporalVariability-1.2.2/EHRtemporalVariability/man/icd9toPheWAS.Rd | 6 EHRtemporalVariability-1.2.2/EHRtemporalVariability/vignettes/EHRtemporalVariability.Rmd | 85 EHRtemporalVariability-1.2.2/EHRtemporalVariability/vignettes/EHRtemporalVariabilityHelp.pdf |binary EHRtemporalVariability-1.2.2/EHRtemporalVariability/vignettes/general-overview.bib | 4 26 files changed, 1112 insertions(+), 1206 deletions(-)
More information about EHRtemporalVariability at CRAN
Permanent link
Title: Identify Reference Periods in Brazil's PNADC Survey Data
Description: Identifies reference periods (months, fortnights, and weeks) in
Brazil's quarterly PNADC (Pesquisa Nacional por Amostra de Domicilios
Continua) survey data and computes calibrated weights for sub-quarterly
analysis. The core algorithm uses IBGE (Instituto Brasileiro de Geografia
e Estatistica) 'Parada Tecnica' (technical break) rules combined with
respondent birthdates to determine which temporal period each survey
observation refers to. Period identification follows a nested hierarchy
enforced by construction: fortnights require months, weeks require
fortnights. Achieves approximately 97% monthly determination rate with
the full series (2012-2025). Strict fortnight and week rates are
approximately 9% and 3% respectively, as they cannot leverage
cross-quarter panel aggregation. Experimental strategies (probabilistic
assignment and UPA (Primary Sampling Unit) aggregation) further improve
these determination rates. The package provides adaptive hierarchical
weight calibration (4/2/1 cell [...truncated...]
Author: Rogerio Barbosa [aut, cre] ,
Marcos Hecksher [aut]
Maintainer: Rogerio Barbosa <rogerio.barbosa@iesp.uerj.br>
Diff between PNADCperiods versions 0.1.1 dated 2026-04-21 and 0.1.2 dated 2026-04-28
DESCRIPTION | 7 +- MD5 | 48 +++++++------- NEWS.md | 35 ++++++++++ R/PNADCperiods-package.R | 2 R/fetch-sidra-population.R | 28 ++++++-- R/fetch-sidra-series.R | 26 ++++++- R/mensalize-sidra-series.R | 87 +++++++++++++++++++++++--- R/pnadc-apply-periods.R | 17 ++++- README.md | 23 ++++++ inst/doc/download-and-prepare.Rmd | 5 - inst/doc/download-and-prepare.html | 15 +--- inst/doc/getting-started.Rmd | 7 +- inst/doc/getting-started.html | 7 +- tests/testthat/helper-test-data.R | 28 ++++++++ tests/testthat/test-calibration-correctness.R | 32 +++++++-- tests/testthat/test-derived-propagation.R |only tests/testthat/test-edge-cases.R | 4 - tests/testthat/test-fetch-sidra-population.R | 23 ++++++ tests/testthat/test-fetch-sidra-series.R | 30 ++++++++ tests/testthat/test-fix-interactions.R |only tests/testthat/test-integration-pipeline.R | 26 +++++-- tests/testthat/test-pnadc-apply-periods.R | 10 +- tests/testthat/test-pre-pnadc-lag.R |only tests/testthat/test-starting-points.R | 54 ++++++++++++++++ tests/testthat/test-trailing-na.R |only vignettes/download-and-prepare.Rmd | 5 - vignettes/getting-started.Rmd | 7 +- 27 files changed, 438 insertions(+), 88 deletions(-)
Title: Time Series Management and Analysis for Hydrological Modelling
Description: S3 functions for management, analysis, interpolation and plotting of time series used in hydrology and related environmental sciences. In particular, this package is highly oriented to hydrological modelling tasks. The focus of this package has been put in providing a collection of tools useful for the daily work of hydrologists (although an effort was made to optimise each function as much as possible, functionality has had priority over speed). Bugs / comments / questions / collaboration of any kind are very welcomed, and in particular, datasets that can be included in this package for academic purposes.
Author: Mauricio Zambrano-Bigiarini [aut, cre, cph] ,
Joschka Thurner [ctb]
Maintainer: Mauricio Zambrano-Bigiarini <mzb.devel@gmail.com>
Diff between hydroTSM versions 0.7-0.1 dated 2024-11-04 and 0.8-6 dated 2026-04-28
DESCRIPTION | 20 +- MD5 | 118 +++++++------ NAMESPACE | 4 NEWS.md | 86 +++++++++ R/baseflow.R | 206 ++++++++++++++--------- R/check_from_and_to_and_subset.R |only R/cmv.R | 224 ++++++++++++++------------ R/daily2annual.R | 131 +++++++++------ R/daily2monthly.R | 13 - R/daily2weekly.R | 13 - R/fdc.R | 17 + R/hydroplot.R | 102 ++++++----- R/isComplete.R |only R/izoo2rzoo.R | 78 ++++++--- R/matrixplot.R | 84 ++++++++- R/plot_pq.R | 81 +++++---- R/shiftyears.R |only R/subdaily2daily.R | 33 ++- R/subdaily2monthly.R | 36 ++-- R/subdaily2weekly.R | 13 - R/subhourly2hourly.R | 36 ++-- R/subhourly2nminutes.R | 22 +- R/weeklyfunction.R | 15 + build/vignette.rds |binary data/Cauquenes7336001.RData |binary data/EbroPPtsMonthly.RData |binary data/KarameaAtGorgeQts.RData |binary data/MaquehueTemuco.RData |binary data/OcaEnOnaQts.RData |binary data/SanMartinoPPts.RData |binary inst/CITATION | 22 +- inst/doc/hydroTSM_Daily_P_Vignette-knitr.R | 8 inst/doc/hydroTSM_Daily_P_Vignette-knitr.Rmd | 19 +- inst/doc/hydroTSM_Daily_P_Vignette-knitr.pdf |binary inst/doc/hydroTSM_Daily_Q_Vignette-knitr.R | 16 - inst/doc/hydroTSM_Daily_Q_Vignette-knitr.Rmd | 47 +++-- inst/doc/hydroTSM_Daily_Q_Vignette-knitr.pdf |binary man/KarameaAtGorgeQts.Rd | 12 - man/MaquehueTemuco.Rd | 2 man/baseflow.Rd | 18 +- man/climograph.Rd | 6 man/cmv.Rd | 21 +- man/daily2annual.Rd | 30 ++- man/daily2monthly.Rd | 8 man/daily2weekly.Rd | 2 man/fdc.Rd | 16 + man/figures |only man/hydroTSM-internal.Rd | 1 man/hydroTSM-package.Rd | 9 - man/hydroplot.Rd | 35 ++-- man/isComplete.Rd |only man/izoo2rzoo.Rd | 46 +++-- man/matrixplot.Rd | 35 +++- man/plot_pq.Rd | 81 ++++----- man/sfreq.Rd | 2 man/shiftyears.Rd |only man/subdaily2daily.Rd | 8 man/subdaily2weekly.Rd | 23 -- man/subhourly2hourly.Rd | 15 + man/subhourly2nminutes.Rd | 13 + man/zoo2RHtest.Rd | 6 vignettes/hydroTSM_Daily_P_Vignette-knitr.Rmd | 19 +- vignettes/hydroTSM_Daily_Q_Vignette-knitr.Rmd | 47 +++-- 63 files changed, 1228 insertions(+), 671 deletions(-)
Title: Data for Comparing Species Distribution Modeling Methods
Description: Easy access to species distribution data for 6 regions in the world, for a total of 226 anonymised species. These data are described and made available by Elith et al (2020) <doi:10.17161/bi.v15i2.13384> to compare species distribution modelling methods.
Author: Robert J. Hijmans [aut] ,
Roozbeh Valavi [cre, aut],
Jane Elith [aut]
Maintainer: Roozbeh Valavi <valavi.r@gmail.com>
Diff between disdat versions 1.0-1 dated 2023-02-07 and 1.1-0 dated 2026-04-28
DESCRIPTION | 12 MD5 | 22 - R/disOther.R | 2 R/disdata.R | 2 build/vignette.rds |binary inst/doc/data_vis.R | 186 ++++---- inst/doc/data_vis.html | 1048 ++++++++++++++++++++++++++++++------------------- inst/doc/modeling.R | 288 ++++++------- inst/doc/modeling.Rmd | 2 inst/doc/modeling.html | 294 ++++++------- man/disMapBook.Rd | 2 vignettes/modeling.Rmd | 2 12 files changed, 1056 insertions(+), 804 deletions(-)
Title: Analyze High-Dimensional High-Throughput Dataset and Quality
Control Single-Cell RNA-Seq
Description: The advent of genomic technologies has enabled the generation of two-dimensional or even multi-dimensional high-throughput data, e.g., monitoring multiple changes in gene expression in genome-wide siRNA screens across many different cell types (E Robert McDonald 3rd (2017) <doi: 10.1016/j.cell.2017.07.005> and Tsherniak A (2017) <doi: 10.1016/j.cell.2017.06.010>) or single cell transcriptomics under different experimental conditions. We found that simple computational methods based on a single statistical criterion is no longer adequate for analyzing such multi-dimensional data. We herein introduce 'ZetaSuite', a statistical package initially designed to score hits from two-dimensional RNAi screens.We also illustrate a unique utility of 'ZetaSuite' in analyzing single cell transcriptomics to differentiate rare cells from damaged ones (Vento-Tormo R (2018) <doi: 10.1038/s41586-018-0698-6>). In 'ZetaSuite', we have the following steps: QC of input datasets, normalizati [...truncated...]
Author: Junhui Li [aut, cre] ,
Yajing Hao [aut] ,
Shuyang Zhang [ctb] ,
Guofeng Zhao [ctb],
Xiang-Dong Fu [cph, fnd]
Maintainer: Junhui Li <ljh.biostat@gmail.com>
Diff between ZetaSuite versions 1.0.2 dated 2025-09-24 and 1.0.3 dated 2026-04-28
DESCRIPTION | 20 +- MD5 | 4 inst/doc/ZetaSuite.html | 451 ++++++++++++++++++++++++------------------------ 3 files changed, 238 insertions(+), 237 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-07-29 3.2.0
2024-01-10 3.1.0
2023-10-26 3.0.2
2023-10-23 3.0.1
2023-10-14 3.0.0
2022-09-08 2.1.0
2022-01-09 2.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2026-02-08 3.0.3
2026-01-25 3.0.2
2025-09-28 3.0.0
2025-09-02 2.3.1
2024-02-26 2.3.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-08-18 1.1.0
2025-07-15 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-04-28 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-12-02 0.3.1
2025-11-12 0.3.0
2024-08-20 0.2.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-11-11 0.2.2
2023-07-17 0.2.1
2023-01-17 0.2.0
2022-11-01 0.1.1
2022-07-20 0.1.0
Title: Single-Case Data Analyses for Single and Multiple Baseline
Designs
Description: A collection of procedures for analysing, visualising,
and managing single-case data. Multi-phase and multi-baseline designs are
supported. Analysing methods include regression models
(multilevel, multivariate, bayesian), between case standardised mean difference,
overlap indices ('PND', 'PEM', 'PAND', 'NAP', 'PET', 'tau-u', 'IRD', 'baseline corrected tau',
'CDC'), and randomization tests. Data preparation functions support outlier
detection, handling missing values, scaling, and custom transformations.
An export function helps to generate html, word, and latex tables in a
publication friendly style. A shiny app allows to use scan in a graphical
user interface.
More details can be found in the online book 'Analyzing single-case data with
R and scan', Juergen Wilbert (2026)
<https://jazznbass.github.io/scan-Book/>.
Author: Juergen Wilbert [cre, aut] ,
Timo Lueke [aut]
Maintainer: Juergen Wilbert <juergen.wilbert@uni-muenster.de>
Diff between scan versions 0.68.0 dated 2026-04-01 and 0.68.1 dated 2026-04-28
scan-0.68.0/scan/tests/testthat/helper-checksum.R |only scan-0.68.1/scan/DESCRIPTION | 11 +- scan-0.68.1/scan/MD5 | 80 +++++++++---------- scan-0.68.1/scan/NAMESPACE | 1 scan-0.68.1/scan/NEWS.md | 4 scan-0.68.1/scan/R/add_l2.R | 4 scan-0.68.1/scan/R/as_scdf.R | 6 - scan-0.68.1/scan/R/between_smd.R | 12 +- scan-0.68.1/scan/R/cdc.R | 4 scan-0.68.1/scan/R/corrected_tau.R | 12 +- scan-0.68.1/scan/R/deprec-truncate_phase.R | 2 scan-0.68.1/scan/R/design.R | 7 - scan-0.68.1/scan/R/export.R | 2 scan-0.68.1/scan/R/hplm.R | 2 scan-0.68.1/scan/R/message-system.R | 88 ++++++++++++++++----- scan-0.68.1/scan/R/mplm.R | 2 scan-0.68.1/scan/R/plm_contrasts.R | 4 scan-0.68.1/scan/R/plot.scdf.R | 8 - scan-0.68.1/scan/R/private-regression.R | 2 scan-0.68.1/scan/R/private-utilities.R | 5 - scan-0.68.1/scan/R/private_check.R | 8 - scan-0.68.1/scan/R/private_check_scdf.R | 4 scan-0.68.1/scan/R/private_kendall.R | 4 scan-0.68.1/scan/R/private_mc_function.R | 2 scan-0.68.1/scan/R/private_options.R | 4 scan-0.68.1/scan/R/private_options_mc.R | 8 - scan-0.68.1/scan/R/private_recombine_phases.R | 8 - scan-0.68.1/scan/R/random_scdf.R | 2 scan-0.68.1/scan/R/rci.R | 2 scan-0.68.1/scan/R/read_scdf.R | 2 scan-0.68.1/scan/R/scan-package.R | 1 scan-0.68.1/scan/R/scdf-functions.R | 6 - scan-0.68.1/scan/R/scdf.R | 18 +--- scan-0.68.1/scan/R/shinyscan.R | 6 - scan-0.68.1/scan/man/abort.Rd |only scan-0.68.1/scan/man/notify.Rd |only scan-0.68.1/scan/man/warn.Rd |only scan-0.68.1/scan/tests/testthat/test-add_l2.R | 2 scan-0.68.1/scan/tests/testthat/test-anova.R | 6 - scan-0.68.1/scan/tests/testthat/test-bacht_apply.R | 2 scan-0.68.1/scan/tests/testthat/test-between_smd.R | 3 scan-0.68.1/scan/tests/testthat/test-cdc.R | 5 - scan-0.68.1/scan/tests/testthat/test-corrected.R | 3 43 files changed, 194 insertions(+), 158 deletions(-)
Title: Fractionally Differenced ARIMA aka ARFIMA(P,d,q) Models
Description: Maximum likelihood estimation of the parameters of a fractionally
differenced ARIMA(p,d,q) model (Haslett and Raftery, Appl.Statistics, 1989);
including inference and basic methods. Some alternative algorithms to estimate "H".
Author: Martin Maechler [aut, cre] ,
Chris Fraley [ctb, cph] ,
Friedrich Leisch [ctb] ,
Valderio Reisen [ctb] & fdSperio),
Artur Lemonte [ctb] & fdSperio),
Rob Hyndman [ctb] & fitted, ORCID:
<https://orcid.org/0000-0002-2140-5352>)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>
Diff between fracdiff versions 1.5-3 dated 2024-02-01 and 1.5-4 dated 2026-04-28
ChangeLog | 12 +++++++++ DESCRIPTION | 19 ++++++++------- MD5 | 26 ++++++++++---------- R/fd-methods.R | 1 R/fracdiff.R | 41 ++++++++++++++++++++------------ build/partial.rdb |binary man/fd-methods.Rd | 7 ----- man/fracdiff.var.Rd | 15 +++++++----- src/fdhess.c | 2 - tests/ex.R | 32 +++++++++++++++++-------- tests/ex.Rout.save | 56 +++++++++++++++++++++++++++----------------- tests/sim-2.R | 47 ++++++++++++++++++++++++++++++++++--- tests/sim-ex.R | 6 ++-- tests/sim-ex.Rout.save | 61 ++++++++++++++++++++++++------------------------- 14 files changed, 204 insertions(+), 121 deletions(-)