Title: R Commander Plug-in for Discrete Choice Experiments
Description: Adds menu items for discrete choice experiments (DCEs) to the R Commander. DCE is a question-based survey method that designs various combinations (profiles) of attribute levels using the experimental designs, asks respondents to select the most preferred profile in each choice set, and then measures preferences for the attribute levels by analyzing the responses. For details on DCEs, refer to Louviere et al. (2000) <doi:10.1017/CBO9780511753831>.
Author: Hideo Aizaki [aut, cre]
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>
Diff between RcmdrPlugin.DCE versions 0.3-0 dated 2025-04-29 and 0.3-1 dated 2025-06-13
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- NEWS | 3 +++ R/RcmdrPlugin.DCE.R | 41 ++++++++++++++++++++++++----------------- 4 files changed, 34 insertions(+), 24 deletions(-)
More information about RcmdrPlugin.DCE at CRAN
Permanent link
Title: R Commander Plug-in for Case 3 Best-Worst Scaling
Description: Adds menu items for case 3 (multi-profile) best-worst scaling (BWS3) to the R Commander. BWS3 is a question-based survey method that designs various combinations of attribute levels (profiles), asks respondents to select the best and worst profiles in each choice set, and then measures preferences for the attribute levels by analyzing the responses. For details on BWS3, refer to Louviere et al. (2015) <doi:10.1017/CBO9781107337855>.
Author: Hideo Aizaki [aut, cre]
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>
Diff between RcmdrPlugin.BWS3 versions 0.3-0 dated 2025-04-29 and 0.3-1 dated 2025-06-13
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- NEWS | 3 +++ R/RcmdrPlugin.BWS3.R | 41 ++++++++++++++++++++++++----------------- 4 files changed, 34 insertions(+), 24 deletions(-)
More information about RcmdrPlugin.BWS3 at CRAN
Permanent link
Title: Response Item Networks
Description: Contains various tools to perform and visualize Response Item Networks ('ResIN's'). 'ResIN' binarizes ordered-categorical and qualitative response choices from (survey) data, calculates pairwise associations and maps the location of each item response as a node in a force-directed network. Please refer to <https://www.resinmethod.net/> for more details.
Author: Philip Warncke [cre, aut],
Dino Carpentras [aut],
Adrian Lueders [aut]
Maintainer: Philip Warncke <pwarncke@live.unc.edu>
Diff between ResIN versions 2.0.0 dated 2024-10-04 and 2.1.0 dated 2025-06-13
DESCRIPTION | 17 MD5 | 21 NAMESPACE | 12 R/ResIN.R | 242 +++- R/globals.R |only build/vignette.rds |binary inst/doc/ResIN-VIGNETTE.R | 583 ++++++----- inst/doc/ResIN-VIGNETTE.Rmd | 37 inst/doc/ResIN-VIGNETTE.html | 1967 ++++++++++++++++++++-------------------- man/ResIN.Rd | 22 vignettes/--find-assets.html |only vignettes/ResIN-VIGNETTE.Rmd | 37 vignettes/file639c2523662f.html |only 13 files changed, 1599 insertions(+), 1339 deletions(-)
Title: LCARS Aesthetic for Shiny
Description: Provides Shiny widgets and theme that support a 'Library Computer Access/Retrieval System' (LCARS) aesthetic for Shiny apps.
The package also includes functions for adding a minimal LCARS theme to static 'ggplot2' graphs.
More details about LCARS can be found at <https://en.wikipedia.org/wiki/LCARS>.
Author: Matthew Leonawicz [aut, cre]
Maintainer: Matthew Leonawicz <rpkgs@pm.me>
Diff between lcars versions 0.4.0 dated 2024-09-11 and 0.4.1 dated 2025-06-13
DESCRIPTION | 9 +++--- MD5 | 14 ++++----- NEWS.md | 4 ++ R/themes.R | 6 ++-- README.md | 8 ++++- build/vignette.rds |binary inst/doc/lcars.R | 74 ++++++++++++++++++++++++++-------------------------- inst/doc/lcars.html | 12 ++++---- 8 files changed, 69 insertions(+), 58 deletions(-)
Title: Unsupervised Clustering of Multiple Censored Time-to-Event
Endpoints
Description: Provides basic tools and wrapper functions for computing clusters of instances described by multiple time-to-event censored endpoints. From long-format datasets, where one instance is described by one or more dated records, the main function, `make_state_matrices()`, creates state matrices. Based on these matrices, optimised procedures using the Jaccard distance between instances enable the construction of longitudinal typologies. The package is under active development, with additional tools for graphical representation of typologies planned. For methodological details, see our accompanying paper: `Delord M, Douiri A (2025) <doi:10.1186/s12874-025-02476-7>`.
Author: Marc Delord [aut, cre]
Maintainer: Marc Delord <mdelord@gmail.com>
Diff between MSCA versions 1.1.1 dated 2025-06-02 and 1.2.1 dated 2025-06-13
DESCRIPTION | 8 +- MD5 | 26 ++++---- NAMESPACE | 5 + NEWS.md | 26 ++++++-- R/get_cluster_sequences.R | 32 +++++++++- R/seq_stats.R | 42 ++++++++++--- R/zzz.R | 2 README.md |only inst/doc/MSCA.R | 2 inst/doc/MSCA.Rmd | 4 - inst/doc/MSCA.html | 132 +++++++++++++++++++++---------------------- man/figures |only man/get_cluster_sequences.Rd | 6 + man/sequence_stats.Rd | 9 +- vignettes/MSCA.Rmd | 4 - 15 files changed, 190 insertions(+), 108 deletions(-)
Title: Process Analysis for Exponential Random Graph Models
Description: Calculates marginal effects and conducts process analysis in exponential family random graph models (ERGM).
Includes functions to conduct mediation and moderation analyses and to diagnose
multicollinearity.
URL: <https://github.com/sduxbury/ergMargins>.
BugReports: <https://github.com/sduxbury/ergMargins/issues>.
Duxbury, Scott W (2021) <doi:10.1177/0049124120986178>.
Long, J. Scott, and Sarah Mustillo (2018) <doi:10.1177/0049124118799374>.
Mize, Trenton D. (2019) <doi:10.15195/v6.a4>.
Karlson, Kristian Bernt, Anders Holm, and Richard Breen (2012) <doi:10.1177/0081175012444861>.
Duxbury, Scott W (2018) <doi:10.1177/0049124118782543>.
Duxbury, Scott W, Jenna Wertsching (2023) <doi:10.1016/j.socnet.2023.02.003>.
Huang, Peng, Carter Butts (2023) <doi:10.1016/j.socnet.2023.07.001>.
Author: Scott Duxbury [aut, cre, cph]
Maintainer: Scott Duxbury <duxbury@email.unc.edu>
Diff between ergMargins versions 1.5 dated 2025-04-04 and 1.6 dated 2025-06-13
DESCRIPTION | 6 ++-- MD5 | 26 +++++++++++---------- NAMESPACE | 1 NEWS | 7 ++++- R/GW_helper.R |only R/edgeprob2.R | 20 +++++++++++++--- R/ergm.MSE.R | 67 +++++++++++++++++++++++++++++++++++++++++-------------- R/ergm.MSMA.R | 8 ++++-- R/ergmAME.R | 21 +++++++---------- R/ergmMEM.R | 21 +++++++++-------- R/ergmMMA.R | 8 ++++-- R/vif.ergm.R | 13 ++++++---- man/GW_helper.Rd |only man/ergm.msma.Rd | 13 +++++----- man/ergmMSE.Rd | 2 - 15 files changed, 136 insertions(+), 77 deletions(-)
Title: Vertical Profiles of Biological Signals in Weather Radar Data
Description: 'R' implementation of the 'vol2bird' software for generating vertical profiles
of birds and other biological signals in weather radar data. See Dokter et al.
(2011) <doi:10.1098/rsif.2010.0116> for a paper describing the methodology.
Author: Anders Henja [aut] ,
Adriaan M. Dokter [aut, cre] ,
Alexander Tedeschi [ctb] ,
Tsung-Yu Lin [ctb] ,
Subranshu Maji [ctb] ,
Daniel Sheldon [ctb] ,
Bart Kranstauber [ctb] ,
Jurriaan H. Spaaks [ctb] ,
Lourens Veen [ctb] ,
Iwan Holleman [ctb] ,
Hidde Lei [...truncated...]
Maintainer: Adriaan M. Dokter <vol2birdr@cornell.edu>
Diff between vol2birdR versions 1.0.9 dated 2025-03-28 and 1.1.0 dated 2025-06-13
DESCRIPTION | 16 +++++++++------- MD5 | 14 +++++++------- NEWS.md | 3 +++ R/rsl2odim.R | 7 ++++++- R/vol2bird.R | 7 ++++++- src/libvol2bird/librender.c | 15 ++++++++++----- src/libvol2bird/librsl.c | 12 +++++++++++- src/mistnet.cpp | 23 ++++++++++++++++++----- 8 files changed, 70 insertions(+), 27 deletions(-)
More information about gammaFuncModel at CRAN
Permanent link
Title: Non-Parametric Causal Effects of Feasible Interventions Based on
Modified Treatment Policies
Description: Non-parametric estimators for casual effects based on longitudinal modified treatment
policies as described in Diaz, Williams, Hoffman, and Schenck <doi:10.1080/01621459.2021.1955691>, traditional point treatment,
and traditional longitudinal effects. Continuous, binary, categorical treatments, and multivariate treatments are allowed as well are
censored outcomes. The treatment mechanism is estimated via a density ratio classification procedure
irrespective of treatment variable type. For both continuous and binary outcomes, additive treatment effects
can be calculated and relative risks and odds ratios may be calculated for binary outcomes.
Supports survival outcomes with competing risks (Diaz, Hoffman, and Hejazi; <doi:10.1007/s10985-023-09606-7>).
Author: Nicholas Williams [aut, cre, cph] ,
Ivan Diaz [aut, cph]
Maintainer: Nicholas Williams <ntwilliams.personal@gmail.com>
Diff between lmtp versions 1.5.1 dated 2025-05-20 and 1.5.2 dated 2025-06-13
lmtp-1.5.1/lmtp/R/deprecated.R |only lmtp-1.5.1/lmtp/R/nodelist.R |only lmtp-1.5.1/lmtp/man/create_node_list.Rd |only lmtp-1.5.2/lmtp/DESCRIPTION | 6 - lmtp-1.5.2/lmtp/MD5 | 51 +++++------ lmtp-1.5.2/lmtp/NAMESPACE | 1 lmtp-1.5.2/lmtp/NEWS.md | 12 ++ lmtp-1.5.2/lmtp/R/Task.R | 44 ++++------ lmtp-1.5.2/lmtp/R/checks.R | 18 +--- lmtp-1.5.2/lmtp/R/contrasts.R | 4 lmtp-1.5.2/lmtp/R/defunct.R |only lmtp-1.5.2/lmtp/R/density_ratios.R | 50 +++++------ lmtp-1.5.2/lmtp/R/eif.R | 18 +--- lmtp-1.5.2/lmtp/R/estimators.R | 54 ++++++------ lmtp-1.5.2/lmtp/R/event_locf.R | 2 lmtp-1.5.2/lmtp/R/lmtp_survival.R | 31 +++---- lmtp-1.5.2/lmtp/R/print.R | 3 lmtp-1.5.2/lmtp/R/sdr.R | 95 +++++++++++----------- lmtp-1.5.2/lmtp/R/theta.R | 20 ++-- lmtp-1.5.2/lmtp/R/tmle.R | 90 +++++++++----------- lmtp-1.5.2/lmtp/R/utils.R | 9 +- lmtp-1.5.2/lmtp/man/defunct.Rd | 2 lmtp-1.5.2/lmtp/man/defunct_funcs.Rd |only lmtp-1.5.2/lmtp/man/lmtp_sdr.Rd | 5 - lmtp-1.5.2/lmtp/man/lmtp_survival.Rd | 5 - lmtp-1.5.2/lmtp/man/lmtp_tmle.Rd | 5 - lmtp-1.5.2/lmtp/tests/testthat/test-Task.R | 8 - lmtp-1.5.2/lmtp/tests/testthat/test-checks.R | 2 lmtp-1.5.2/lmtp/tests/testthat/test-node-list.txt | 16 +-- 29 files changed, 281 insertions(+), 270 deletions(-)
Title: Calibration Plots for the Transition Probabilities from
Multistate Models
Description: Assess the calibration of an existing (i.e. previously developed) multistate
model through calibration plots.
Calibration is assessed using one of three methods. 1) Calibration methods for
binary logistic regression models applied at a fixed time point in conjunction
with inverse probability of censoring weights. 2) Calibration methods for
multinomial logistic regression models applied at a fixed time point in conjunction
with inverse probability of censoring weights. 3) Pseudo-values estimated using
the Aalen-Johansen estimator of observed risk. All methods are applied in conjunction
with landmarking when required. These calibration plots evaluate the calibration
(in a validation cohort of interest) of the transition probabilities estimated from an
existing multistate model. While package development has focused on multistate
models, calibration plots can be produced for any model which utilises information
post baseline to update predictions (e.g. dynamic models); competing risks mod [...truncated...]
Author: Alexander Pate [aut, cre, cph] ,
Glen P Martin [fnd, rev]
Maintainer: Alexander Pate <alexander.pate@manchester.ac.uk>
Diff between calibmsm versions 1.1.2 dated 2025-06-06 and 1.1.3 dated 2025-06-13
DESCRIPTION | 10 ++++++---- MD5 | 10 +++++----- NEWS.md | 4 ++++ man/calibmsm-package.Rd | 2 ++ tests/testthat/test-calib_aj.R | 2 ++ tests/testthat/test-plot_calib.R | 10 ++++------ 6 files changed, 23 insertions(+), 15 deletions(-)
Title: Methods for Visualization of Computer Experiments Design and
Surrogate
Description: View 2D/3D sections, contour plots, mesh of excursion sets for computer experiments designs, surrogates or test functions.
Author: Yann Richet [aut, cre] ,
Yves Deville [aut],
Clement Chevalier [ctb]
Maintainer: Yann Richet <yann.richet@irsn.fr>
Diff between DiceView versions 3.1-0 dated 2024-11-12 and 3.1-3 dated 2025-06-13
DESCRIPTION | 10 MD5 | 52 ++-- NAMESPACE | 4 R/Utils.R | 147 ++++++++++++- R/contourview.R | 507 +++++++++++++++++++---------------------------- R/filledcontourview.R | 453 +++++++++++++++++++---------------------- R/function.R | 10 R/mesh_set.R | 217 ++++++++++++++------ R/optim.R | 75 +++++- R/root.R | 235 ++++++++++++++++++--- R/sectionview.R | 332 +++++++++--------------------- R/sectionview3d.R | 438 ++++++++++++++-------------------------- R/wrapper3d.R | 38 +-- man/Memoize.function.Rd | 4 man/contourview.Rd | 63 +++-- man/expand.grids.Rd | 11 + man/filledcontourview.Rd | 81 +++++-- man/mesh.Rd | 2 man/mesh_exsets.Rd | 18 + man/min_dist.mesh.Rd |only man/optim.stop.Rd |only man/optims.Rd | 3 man/plot2d_mesh.Rd | 3 man/plot3d_mesh.Rd | 6 man/plot_mesh.Rd | 6 man/roots_mesh.Rd | 29 +- man/sectionview.Rd | 22 +- man/sectionview3d.Rd | 54 ++--- 28 files changed, 1509 insertions(+), 1311 deletions(-)
Title: Create Demographic Table
Description: To create demographic table with simple summary statistics,
with optional comparison(s) over one or more groups.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>
Diff between DemographicTable versions 0.2.1 dated 2025-04-06 and 0.2.2 dated 2025-06-13
DESCRIPTION | 25 ++++++----- MD5 | 27 ++++++------ R/DemographicTable.R | 8 +-- R/msg.R | 2 R/onLoad.R |only R/pval_shapiro.R | 6 +- R/sumstat.R | 23 ++-------- build/vignette.rds |binary inst/doc/intro.R | 7 +-- inst/doc/intro.html | 107 +++++++++++++++++++++++---------------------------- inst/doc/intro.qmd | 7 +-- man/msg_.Rd | 2 man/pval_shapiro.Rd | 6 +- man/sumstat.Rd | 17 -------- vignettes/intro.qmd | 7 +-- 15 files changed, 106 insertions(+), 138 deletions(-)
More information about DemographicTable at CRAN
Permanent link
Title: Functions for Community Data and Ordinations
Description: A collection of functions useful in (vegetation) community analyses and ordinations. Includes automatic species selection for ordination diagrams, NMDS stress/scree plots, species response curves, merging of taxa as well as calculation and sorting of synoptic tables.
Author: Friedemann von Lampe [aut, cre] ,
Schellenberg Jenny [aut]
Maintainer: Friedemann von Lampe <fvonlampe@uni-goettingen.de>
Diff between goeveg versions 0.7.5 dated 2024-05-17 and 0.7.6 dated 2025-06-13
DESCRIPTION | 19 ++++++++++++------- MD5 | 8 ++++---- NEWS.md | 3 +++ R/cov2per.R | 12 ++++++------ build/partial.rdb |binary 5 files changed, 25 insertions(+), 17 deletions(-)
Title: Visualisation, Exploration, and Web Communication of
Archaeological Spatial Data
Description: An R 'Shiny' application for visual and statistical exploration and web communication of archaeological spatial data, either remains or sites. It offers interactive 3D and 2D visualisations (cross sections and maps of remains, timeline of the work made in a site) which can be exported in SVG and HTML formats. It performs simple spatial statistics (convex hull, regression surfaces, 2D kernel density estimation) and allows exporting data to other online applications for more complex methods. 'archeoViz' can be used offline locally or deployed on a server, either with interactive input of data or with a static data set. Example is provided at <https://analytics.huma-num.fr/archeoviz/en>.
Author: Sebastien Plutniak [aut, cre] ,
Renata Araujo [ctb] ,
Laura Coltofean [ctb] ,
Nicolas Delsol [ctb] ,
Sara Giardino [ctb] ,
Julian Laabs [ctb]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>
Diff between archeoViz versions 1.4.0 dated 2025-04-01 and 1.4.1 dated 2025-06-13
DESCRIPTION | 21 ++--- MD5 | 16 ++-- NEWS.md | 5 + TODO | 9 -- build/vignette.rds |binary inst/doc/archeoViz-es.html | 168 ++++++++++++++++++++++++++------------------- inst/doc/archeoViz-fr.html | 168 ++++++++++++++++++++++++++------------------- inst/doc/archeoViz.html | 166 ++++++++++++++++++++++++++------------------ man/archeoViz.Rd | 3 9 files changed, 321 insertions(+), 235 deletions(-)
Title: Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax'
Description: Translate R expressions to 'MathML' or 'MathJax'/'LaTeX' so that
they can be rendered in R markdown documents and shiny apps. This package
depends on R package 'rolog', which requires an installation of the
'SWI'-'Prolog' runtime either from 'swi-prolog.org' or from R
package 'rswipl'.
Author: Matthias Gondan [aut, cre, cph] ,
Irene Alfarone [aut] ,
European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>
Diff between mathml versions 1.4 dated 2025-05-18 and 1.5 dated 2025-06-13
mathml-1.4/mathml/inst/pl/bussproofs.pl |only mathml-1.4/mathml/tests/test-bussproofs.Rmd |only mathml-1.5/mathml/DESCRIPTION | 8 mathml-1.5/mathml/MD5 | 31 mathml-1.5/mathml/NEWS.md | 4 mathml-1.5/mathml/R/mathml.R | 23 mathml-1.5/mathml/inst/doc/mathml.R | 33 mathml-1.5/mathml/inst/doc/mathml.Rmd | 44 mathml-1.5/mathml/inst/doc/mathml.html | 200 - mathml-1.5/mathml/inst/pl/lib |only mathml-1.5/mathml/inst/pl/lm.pl | 5 mathml-1.5/mathml/inst/pl/mathml.pl | 2899 ----------------------- mathml-1.5/mathml/inst/pl/nthroot.pl | 20 mathml-1.5/mathml/inst/pl/pval.pl | 38 mathml-1.5/mathml/man/hook.Rd | 9 mathml-1.5/mathml/tests/testthat/test-appendix.R |only mathml-1.5/mathml/tests/testthat/test-mathml.R | 97 mathml-1.5/mathml/vignettes/mathml.Rmd | 44 18 files changed, 327 insertions(+), 3128 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-04-03 1.0.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-05-24 1.1.7
2016-11-30 1.1.6
2015-03-03 1.1.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-08-20 1.0.1
2019-07-03 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-02-20 1.2.1
2019-12-15 1.1.9
2019-06-03 1.1.8
2019-04-16 1.0.9
2019-03-15 1.0.5
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-05-11 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-08-09 1.9.2
2018-11-07 1.9.1
2018-08-27 1.9.0
2018-01-18 1.5
2017-12-20 1.4.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-07-11 0.2.0
2021-02-19 0.1.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-07-18 0.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-09-02 0.8.0
2016-02-09 0.7.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-04-28 1.0.8
2017-04-21 1.0.7
2017-02-13 1.0.6
2017-01-04 1.0.5
2014-11-18 1.0.4
2013-12-14 1.0.3
2013-03-06 1.0.2
2013-01-29 1.0.1
2012-10-04 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-06-02 2021.6-1
2015-12-16 2015.12-1
2015-04-28 2015.4-1
2014-02-10 2014.2-2
2014-02-05 2014.2-1
2013-04-13 2013.4-1
2012-09-20 2012.7-1
2012-04-10 2012.4-1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-05-19 0.7-17
2020-02-17 0.7-16
2019-12-10 0.7-15
2019-08-28 0.7-13
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-04-21 0.17.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-11-14 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-07-22 1.0.0
2014-08-27 0.28
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-04-03 0.2.1
2017-03-28 0.2.0
2017-03-24 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-10-11 1.6
2014-11-14 1.5
2014-08-28 1.4
2014-02-28 1.3
2013-10-08 1.2
2013-10-06 1.1
2013-10-05 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-09-30 0.3.7
2016-08-24 0.3.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-07-13 0.9.1
2020-03-20 0.9.0
Title: Armadillo Client for the Armadillo Service
Description: A set of functions to manage data shared on a
'MOLGENIS Armadillo' server.
Author: Mariska Slofstra [aut, cre] ,
Sido Haakma [aut] ,
Tommy de Boer [aut] ,
Fleur Kelpin [aut] ,
Morris Swertz [aut] ,
Tim Cadman [aut]
Maintainer: Mariska Slofstra <m.k.slofstra@umcg.nl>
Diff between MolgenisArmadillo versions 2.9.0 dated 2025-02-28 and 2.9.1 dated 2025-06-13
DESCRIPTION | 19 ++++++++++--------- MD5 | 8 ++++---- NEWS.md | 3 +++ R/subset.R | 2 +- tests/testthat/test-subset.R | 2 +- 5 files changed, 19 insertions(+), 15 deletions(-)
More information about MolgenisArmadillo at CRAN
Permanent link
Title: Determine and Evaluate Optimal Cutpoints in Binary
Classification Tasks
Description: Estimate cutpoints that optimize a specified metric in binary classification tasks
and validate performance using bootstrapping. Some methods for more robust cutpoint
estimation are supported, e.g. a parametric method assuming normal distributions,
bootstrapped cutpoints, and smoothing of the metric values per cutpoint using
Generalized Additive Models. Various plotting functions are included. For an overview
of the package see Thiele and Hirschfeld (2021) <doi:10.18637/jss.v098.i11>.
Author: Christian Thiele [cre, aut]
Maintainer: Christian Thiele <c.thiele@gmx-topmail.de>
Diff between cutpointr versions 1.2.0 dated 2024-12-10 and 1.2.1 dated 2025-06-13
DESCRIPTION | 13 MD5 | 76 ++-- R/boot_ci.R | 4 R/boot_test.R | 32 +- R/plot_cut_boot.R | 13 R/plot_cutpointr.R | 46 +-- R/plot_metric.R | 18 - R/plot_metric_boot.R | 6 R/plot_precision_recall.R | 4 R/plot_roc.R | 4 R/plot_sensitivity_specificity.R | 8 R/plot_x.R | 18 - R/print.summary_cutpointr.R | 2 R/print.summary_multi_cutpointr.R | 11 inst/doc/cutpointr.R | 36 +- inst/doc/cutpointr.html | 52 +-- inst/doc/cutpointr_benchmarks.R | 458 +++++++++++++++--------------- inst/doc/cutpointr_benchmarks.html | 6 inst/doc/cutpointr_bootstrapping.html | 60 ++- inst/doc/cutpointr_estimation.html | 10 inst/doc/cutpointr_plotting.html | 81 ++--- inst/doc/cutpointr_roc.R | 4 inst/doc/cutpointr_roc.html | 6 inst/doc/cutpointr_user_functions.R | 8 inst/doc/cutpointr_user_functions.html | 6 man/figures/README-unnamed-chunk-11-1.png |binary man/figures/README-unnamed-chunk-15-1.png |binary man/figures/README-unnamed-chunk-17-1.png |binary man/figures/README-unnamed-chunk-21-1.png |only man/figures/README-unnamed-chunk-23-1.png |only man/figures/README-unnamed-chunk-25-1.png |only man/figures/README-unnamed-chunk-35-1.png |only man/figures/README-unnamed-chunk-35-2.png |only man/figures/README-unnamed-chunk-35-3.png |only man/figures/README-unnamed-chunk-35-4.png |only man/figures/README-unnamed-chunk-35-5.png |only man/figures/README-unnamed-chunk-35-6.png |only man/figures/README-unnamed-chunk-36-1.png |binary man/figures/README-unnamed-chunk-37-1.png |binary man/figures/README-unnamed-chunk-37-2.png |only man/figures/README-unnamed-chunk-37-3.png |only man/figures/README-unnamed-chunk-38-1.png |binary man/figures/README-unnamed-chunk-45-1.png |only tests/testthat/Rplots.pdf |only tests/testthat/test-cutpointr.R | 73 +++- tests/testthat/testthat-problems.rds |only 46 files changed, 553 insertions(+), 502 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
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2018-09-03 0.3.1
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Title: Data from all Seasons of Survivor (US) TV Series in Tidy Format
Description: Datasets detailing the results, castaways, and events of each
season of Survivor for the US, Australia, South Africa, New Zealand, and the
UK. This includes details on the cast, voting history, immunity and reward
challenges, jury votes, boot order, advantage details, and episode ratings.
Use this for analysis of trends and statistics of the game.
Author: Daniel Oehm [aut, cre],
Carly Levitz [ctb]
Maintainer: Daniel Oehm <danieloehm@gmail.com>
Diff between survivoR versions 2.3.5 dated 2025-01-08 and 2.3.6 dated 2025-06-13
DESCRIPTION | 17 MD5 | 94 ++--- NEWS.md | 10 R/datasets.R | 156 ++++++--- README.md | 674 ++++++++++++++++----------------------- data/advantage_details.rda |binary data/advantage_movement.rda |binary data/auction_details.rda |binary data/boot_mapping.rda |binary data/boot_order.rda |only data/castaway_details.rda |binary data/castaway_scores.rda |binary data/castaways.rda |binary data/challenge_description.rda |binary data/challenge_results.rda |binary data/challenge_summary.rda |binary data/confessionals.rda |binary data/episodes.rda |binary data/journeys.rda |only data/jury_votes.rda |binary data/season_palettes.rda |binary data/season_summary.rda |binary data/survivor_auction.rda |binary data/tribe_colours.rda |binary data/tribe_mapping.rda |binary data/viewers.rda |binary data/vote_history.rda |binary man/advantage_details.Rd | 1 man/advantage_movement.Rd | 2 man/auction_details.Rd | 1 man/boot_mapping.Rd | 1 man/boot_order.Rd |only man/castaway_details.Rd | 1 man/castaway_scores.Rd | 59 ++- man/castaways.Rd | 5 man/challenge_description.Rd | 1 man/challenge_results.Rd | 1 man/confessionals.Rd | 13 man/episodes.Rd | 1 man/journeys.Rd |only man/jury_votes.Rd | 1 man/season_palettes.Rd | 1 man/season_summary.Rd | 2 man/survivor_auction.Rd | 1 man/tribe_colours.Rd | 6 man/tribe_mapping.Rd | 1 man/viewers.Rd | 1 man/vote_history.Rd | 1 tests/testthat/tests-functions.R | 16 tests/testthat/tests.R | 189 ++++++++-- 50 files changed, 651 insertions(+), 605 deletions(-)
Title: High Performance Algorithms for Vine Copula Modeling
Description: Provides an interface to 'vinecopulib', a C++ library for vine
copula modeling. The 'rvinecopulib' package implements the core features of the
popular 'VineCopula' package, in particular inference algorithms for both vine
copula and bivariate copula models. Advantages over 'VineCopula' are a sleeker
and more modern API, improved performances, especially in high dimensions,
nonparametric and multi-parameter families, and the ability to model discrete
variables. The 'rvinecopulib' package includes 'vinecopulib' as header-only
C++ library (currently version 0.7.2). Thus users do not need to install
'vinecopulib' itself in order to use 'rvinecopulib'. Since their initial
releases, 'vinecopulib' is licensed under the MIT License, and 'rvinecopulib'
is licensed under the GNU GPL version 3.
Author: Thomas Nagler [aut, cre],
Thibault Vatter [aut]
Maintainer: Thomas Nagler <info@vinecopulib.org>
Diff between rvinecopulib versions 0.7.2.1.0 dated 2025-03-24 and 0.7.3.1.0 dated 2025-06-13
rvinecopulib-0.7.2.1.0/rvinecopulib/inst/include/vinecopulib-version.hpp |only rvinecopulib-0.7.3.1.0/rvinecopulib/DESCRIPTION | 6 rvinecopulib-0.7.3.1.0/rvinecopulib/MD5 | 93 +- rvinecopulib-0.7.3.1.0/rvinecopulib/NEWS.md | 13 rvinecopulib-0.7.3.1.0/rvinecopulib/R/RcppExports.R | 8 rvinecopulib-0.7.3.1.0/rvinecopulib/R/as_rvine_structure.R | 17 rvinecopulib-0.7.3.1.0/rvinecopulib/R/bicop.R | 42 - rvinecopulib-0.7.3.1.0/rvinecopulib/R/bicop_methods.R | 46 - rvinecopulib-0.7.3.1.0/rvinecopulib/R/bicop_plot.R | 46 - rvinecopulib-0.7.3.1.0/rvinecopulib/R/family_sets.R | 54 + rvinecopulib-0.7.3.1.0/rvinecopulib/R/getters.R | 63 + rvinecopulib-0.7.3.1.0/rvinecopulib/R/pairs_copula_data.R | 46 - rvinecopulib-0.7.3.1.0/rvinecopulib/R/rvine_structure.R | 93 +- rvinecopulib-0.7.3.1.0/rvinecopulib/R/tools.R | 53 + rvinecopulib-0.7.3.1.0/rvinecopulib/R/truncate_model.R | 12 rvinecopulib-0.7.3.1.0/rvinecopulib/R/vine.R | 121 ++- rvinecopulib-0.7.3.1.0/rvinecopulib/R/vine_methods.R | 45 - rvinecopulib-0.7.3.1.0/rvinecopulib/R/vinecop.R | 103 ++- rvinecopulib-0.7.3.1.0/rvinecopulib/R/vinecop_methods.R | 59 + rvinecopulib-0.7.3.1.0/rvinecopulib/R/vinecop_plot.R | 83 +- rvinecopulib-0.7.3.1.0/rvinecopulib/inst/include/vinecopulib.hpp | 8 rvinecopulib-0.7.3.1.0/rvinecopulib/inst/include/vinecopulib/bicop/implementation/fit_controls.ipp | 2 rvinecopulib-0.7.3.1.0/rvinecopulib/inst/include/vinecopulib/misc/fit_controls.hpp | 7 rvinecopulib-0.7.3.1.0/rvinecopulib/inst/include/vinecopulib/misc/implementation/tools_optimization.ipp | 2 rvinecopulib-0.7.3.1.0/rvinecopulib/inst/include/vinecopulib/misc/implementation/tools_stats.ipp | 14 rvinecopulib-0.7.3.1.0/rvinecopulib/inst/include/vinecopulib/misc/tools_integration.hpp | 7 rvinecopulib-0.7.3.1.0/rvinecopulib/inst/include/vinecopulib/misc/triangular_array.hpp | 25 rvinecopulib-0.7.3.1.0/rvinecopulib/inst/include/vinecopulib/version.hpp | 4 rvinecopulib-0.7.3.1.0/rvinecopulib/inst/include/vinecopulib/vinecop/fit_controls.hpp | 23 rvinecopulib-0.7.3.1.0/rvinecopulib/inst/include/vinecopulib/vinecop/implementation/class.ipp | 14 rvinecopulib-0.7.3.1.0/rvinecopulib/inst/include/vinecopulib/vinecop/implementation/fit_controls.ipp | 120 ++- rvinecopulib-0.7.3.1.0/rvinecopulib/inst/include/vinecopulib/vinecop/implementation/tools_select.ipp | 96 ++ rvinecopulib-0.7.3.1.0/rvinecopulib/inst/include/vinecopulib/vinecop/tools_select.hpp | 3 rvinecopulib-0.7.3.1.0/rvinecopulib/man/vine.Rd | 2 rvinecopulib-0.7.3.1.0/rvinecopulib/man/vinecop.Rd | 39 + rvinecopulib-0.7.3.1.0/rvinecopulib/src/RcppExports.cpp | 20 rvinecopulib-0.7.3.1.0/rvinecopulib/src/vinecopulib-interface.cpp | 32 rvinecopulib-0.7.3.1.0/rvinecopulib/tests/testthat/Rplots.pdf | 328 +++++----- rvinecopulib-0.7.3.1.0/rvinecopulib/tests/testthat/test_bicop.R | 38 - rvinecopulib-0.7.3.1.0/rvinecopulib/tests/testthat/test_bicop_dist.R | 11 rvinecopulib-0.7.3.1.0/rvinecopulib/tests/testthat/test_discrete.R | 12 rvinecopulib-0.7.3.1.0/rvinecopulib/tests/testthat/test_misc.R | 1 rvinecopulib-0.7.3.1.0/rvinecopulib/tests/testthat/test_rosenblatt.R | 16 rvinecopulib-0.7.3.1.0/rvinecopulib/tests/testthat/test_rvine_structure.R | 2 rvinecopulib-0.7.3.1.0/rvinecopulib/tests/testthat/test_vine.R | 51 + rvinecopulib-0.7.3.1.0/rvinecopulib/tests/testthat/test_vine_dist.R | 15 rvinecopulib-0.7.3.1.0/rvinecopulib/tests/testthat/test_vinecop.R | 113 ++- rvinecopulib-0.7.3.1.0/rvinecopulib/tests/testthat/test_vinecop_dist.R | 53 + 48 files changed, 1387 insertions(+), 674 deletions(-)
Title: Bayesian Network Meta-Analysis with Missing Participants
Description: A comprehensive suite of functions to perform and visualise
pairwise and network meta-analysis with aggregate binary or continuous
missing participant outcome data. The package covers core Bayesian one-stage
models implemented in a systematic review with multiple interventions,
including fixed-effect and random-effects network meta-analysis,
meta-regression, evaluation of the consistency assumption via the
node-splitting approach and the unrelated mean effects model (original and
revised model proposed by Spineli, (2022) <doi:10.1177/0272989X211068005>), and
sensitivity analysis (see Spineli et al., (2021) <doi:10.1186/s12916-021-02195-y>).
Missing participant outcome data are addressed in all models of the package
(see Spineli, (2019) <doi:10.1186/s12874-019-0731-y>, Spineli et al., (2019)
<doi:10.1002/sim.8207>, Spineli, (2019) <doi:10.1016/j.jclinepi.2018.09.002>,
and Spineli et al., (2021) <doi:10.1002/jrsm.1478>).
The robustness to primary analy [...truncated...]
Author: Loukia Spineli [aut, cre],
Chrysostomos Kalyvas [ctb],
Katerina Papadimitropoulou [ctb]
Maintainer: Loukia Spineli <Spineli.Loukia@mh-hannover.de>
Diff between rnmamod versions 0.4.0 dated 2024-03-24 and 0.5.0 dated 2025-06-13
rnmamod-0.4.0/rnmamod/R/quality.transitivity_function.R |only rnmamod-0.4.0/rnmamod/man/trans_quality.Rd |only rnmamod-0.5.0/rnmamod/DESCRIPTION | 61 +-- rnmamod-0.5.0/rnmamod/MD5 | 129 ++++--- rnmamod-0.5.0/rnmamod/NAMESPACE | 17 rnmamod-0.5.0/rnmamod/NEWS.md | 45 ++ rnmamod-0.5.0/rnmamod/R/KLD.barplot_function.R | 2 rnmamod-0.5.0/rnmamod/R/UME.plot_function.R | 7 rnmamod-0.5.0/rnmamod/R/balloon.plot.mod_function.R | 39 +- rnmamod-0.5.0/rnmamod/R/comp.clustering_function.R | 119 +++--- rnmamod-0.5.0/rnmamod/R/covar.contribution.plot_function.R |only rnmamod-0.5.0/rnmamod/R/data.preparation_function.R | 11 rnmamod-0.5.0/rnmamod/R/datasets.R | 54 ++ rnmamod-0.5.0/rnmamod/R/design.matrices_function.R |only rnmamod-0.5.0/rnmamod/R/distr.characteristics_function.R | 14 rnmamod-0.5.0/rnmamod/R/forestplot.juxtapose_function.R |only rnmamod-0.5.0/rnmamod/R/forestplot.metareg_function.R | 182 ++-------- rnmamod-0.5.0/rnmamod/R/forestplot_function.R | 3 rnmamod-0.5.0/rnmamod/R/globals.R | 7 rnmamod-0.5.0/rnmamod/R/gower.distance_function.R | 33 + rnmamod-0.5.0/rnmamod/R/heter.density.plots_function.R |only rnmamod-0.5.0/rnmamod/R/heterogeneity.param.prior_function.R | 2 rnmamod-0.5.0/rnmamod/R/inconsistency.variance.prior_function.R |only rnmamod-0.5.0/rnmamod/R/kld.inconsistency.user_function.R |only rnmamod-0.5.0/rnmamod/R/kld.inconsistency_function.R |only rnmamod-0.5.0/rnmamod/R/kld.measure_function.R |only rnmamod-0.5.0/rnmamod/R/mcmc.diagnostics_function.R | 46 +- rnmamod-0.5.0/rnmamod/R/metareg.plot_function.R | 138 ++----- rnmamod-0.5.0/rnmamod/R/nodesplit.plot_function.R | 2 rnmamod-0.5.0/rnmamod/R/plot.study.dissimilarities_function.R |only rnmamod-0.5.0/rnmamod/R/prepare.model_function.R | 39 +- rnmamod-0.5.0/rnmamod/R/prepare.nodesplit_function.R | 3 rnmamod-0.5.0/rnmamod/R/rankosucra.plot_function.R | 4 rnmamod-0.5.0/rnmamod/R/robustness.index.user_function.R | 24 - rnmamod-0.5.0/rnmamod/R/robustness.index_function.R | 91 ++--- rnmamod-0.5.0/rnmamod/R/run.UME_function.R | 2 rnmamod-0.5.0/rnmamod/R/run.metareg_function.R | 60 +-- rnmamod-0.5.0/rnmamod/R/run.model_function.R | 35 - rnmamod-0.5.0/rnmamod/R/run.nodesplit_function.R | 33 + rnmamod-0.5.0/rnmamod/R/run.sensitivity_function.R | 59 +-- rnmamod-0.5.0/rnmamod/R/run.series.meta_function.R | 2 rnmamod-0.5.0/rnmamod/R/scatterplot.sucra_function.R | 76 ---- rnmamod-0.5.0/rnmamod/R/study.perc.contrib_function.R |only rnmamod-0.5.0/rnmamod/R/table.tau2.empirical.prior_function.R |only rnmamod-0.5.0/rnmamod/build/partial.rdb |binary rnmamod-0.5.0/rnmamod/build/vignette.rds |binary rnmamod-0.5.0/rnmamod/data/nma.fluoride.donegan2018.RData |only rnmamod-0.5.0/rnmamod/data/nma.malaria.donegan2018.RData |only rnmamod-0.5.0/rnmamod/inst/doc/network_description.html | 12 rnmamod-0.5.0/rnmamod/inst/doc/perform_network_metaanalysis.R | 40 +- rnmamod-0.5.0/rnmamod/inst/doc/perform_network_metaanalysis.html | 8 rnmamod-0.5.0/rnmamod/inst/extdata/reg_baker.rds |binary rnmamod-0.5.0/rnmamod/man/comp_clustering.Rd | 10 rnmamod-0.5.0/rnmamod/man/covar_contribution_plot.Rd |only rnmamod-0.5.0/rnmamod/man/forestplot_juxtapose.Rd |only rnmamod-0.5.0/rnmamod/man/forestplot_metareg.Rd | 17 rnmamod-0.5.0/rnmamod/man/gower_distance.Rd | 14 rnmamod-0.5.0/rnmamod/man/heter_density_plot.Rd |only rnmamod-0.5.0/rnmamod/man/heterogeneity_param_prior.Rd | 2 rnmamod-0.5.0/rnmamod/man/inconsistency_variance_prior.Rd |only rnmamod-0.5.0/rnmamod/man/kld_barplot.Rd | 2 rnmamod-0.5.0/rnmamod/man/kld_inconsistency.Rd |only rnmamod-0.5.0/rnmamod/man/kld_inconsistency_user.Rd |only rnmamod-0.5.0/rnmamod/man/kld_measure.Rd |only rnmamod-0.5.0/rnmamod/man/mcmc_diagnostics.Rd | 19 - rnmamod-0.5.0/rnmamod/man/metareg_plot.Rd | 37 +- rnmamod-0.5.0/rnmamod/man/nma.fluoride.donegan2018.Rd |only rnmamod-0.5.0/rnmamod/man/nma.malaria.donegan2018.Rd |only rnmamod-0.5.0/rnmamod/man/plot_study_dissimilarities.Rd |only rnmamod-0.5.0/rnmamod/man/robustness_index.Rd | 27 - rnmamod-0.5.0/rnmamod/man/robustness_index_user.Rd | 2 rnmamod-0.5.0/rnmamod/man/run_metareg.Rd | 4 rnmamod-0.5.0/rnmamod/man/run_model.Rd | 5 rnmamod-0.5.0/rnmamod/man/run_nodesplit.Rd | 2 rnmamod-0.5.0/rnmamod/man/run_sensitivity.Rd | 8 rnmamod-0.5.0/rnmamod/man/scatterplot_sucra.Rd | 11 rnmamod-0.5.0/rnmamod/man/study_perc_contrib.Rd |only rnmamod-0.5.0/rnmamod/man/table_tau2_prior.Rd |only rnmamod-0.5.0/rnmamod/man/ume_plot.Rd | 6 79 files changed, 845 insertions(+), 720 deletions(-)
Title: Linear Models for Prediction and Classification using Proximal
Operators
Description: Implements optimization techniques for Lasso regression, R.Tibshirani(1996)<doi:10.1111/j.2517-6161.1996.tb02080.x> using Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) and Iterative Shrinkage-Thresholding Algorithm (ISTA) based on proximal operators, A.Beck(2009)<doi:10.1137/080716542>. The package is useful for high-dimensional regression problems and includes cross-validation procedures to select optimal penalty parameters.
Author: YingHong Chen [aut, cre],
Ferran Reverter Comes [aut],
Esteban Vegas Lozano [aut]
Maintainer: YingHong Chen <yinghongchen1402@gmail.com>
Diff between ProxReg versions 0.1.1 dated 2025-03-15 and 1.1.1 dated 2025-06-13
DESCRIPTION | 16 ++++++--- MD5 | 10 +++--- R/models.R | 7 +++- inst/doc/my-vignette.Rmd | 2 - inst/doc/my-vignette.html | 76 +++++++++++++++++++++++----------------------- vignettes/my-vignette.Rmd | 2 - 6 files changed, 60 insertions(+), 53 deletions(-)
Title: Statistical Methodology for Graphical Extreme Value Models
Description: Statistical methodology for sparse multivariate extreme value models. Methods are
provided for exact simulation and statistical inference for multivariate Pareto distributions
on graphical structures as described in the paper 'Graphical Models for Extremes' by
Engelke and Hitz (2020) <doi:10.1111/rssb.12355>.
Author: Sebastian Engelke [aut, cre],
Adrien S. Hitz [aut],
Nicola Gnecco [aut],
Manuel Hentschel [aut]
Maintainer: Sebastian Engelke <sebastian.engelke@unige.ch>
Diff between graphicalExtremes versions 0.3.3 dated 2024-11-14 and 0.3.4 dated 2025-06-13
DESCRIPTION | 8 MD5 | 26 R/eglatent.R | 3 R/estimation_structure.R | 2 R/matrix_completions_main.R | 4 build/partial.rdb |binary build/vignette.rds |binary inst/doc/applicationDanube.R | 532 +++++++------- inst/doc/applicationDanube.html | 1478 +++++++++++++++++++++------------------ inst/doc/applicationFlights.R | 412 +++++----- inst/doc/applicationFlights.html | 984 +++++++++++++++---------- man/complete_Gamma.Rd | 4 man/eglatent.Rd | 3 man/eglearn.Rd | 2 14 files changed, 1901 insertions(+), 1557 deletions(-)
More information about graphicalExtremes at CRAN
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Title: Flexible, Extensible, & Reproducible Pupillometry Preprocessing
Description: Pupillometry offers a non-invasive window into the mind and has been used extensively as a psychophysiological readout of arousal signals linked with cognitive processes like attention, stress, and emotional states [Clewett et al. (2020) <doi:10.1038/s41467-020-17851-9>; Kret & Sjak-Shie (2018) <doi:10.3758/s13428-018-1075-y>; Strauch (2024) <doi:10.1016/j.tins.2024.06.002>]. Yet, despite decades of pupillometry research, many established packages and workflows to date unfortunately lack design patterns based on Findability, Accessibility, Interoperability, and Reusability (FAIR) principles [see Wilkinson et al. (2016) <doi:10.1038/sdata.2016.18>]. 'eyeris', on the other hand, follows a design philosophy that provides users with an intuitive, modular, performant, and extensible pupillometry data preprocessing framework out-of-the-box. 'eyeris' introduces a Brain Imaging Data Structure (BIDS)-like organization for derivative (i.e., preprocessed) pupillometry [...truncated...]
Author: Shawn Schwartz [aut, cre, cph] ,
Stanford Wu Tsai Human Performance Alliance [fnd],
Stanford Ric Weiland Graduate Fellowship [fnd],
Stanford Center for Mind, Brain, Computation and Technology [fnd],
NIH National Institute on Aging R01-AG065255 [fnd], [...truncated...]
Maintainer: Shawn Schwartz <stschwartz@stanford.edu>
Diff between eyeris versions 1.2.0 dated 2025-06-06 and 1.2.1 dated 2025-06-13
DESCRIPTION | 8 - MD5 | 39 +++-- NAMESPACE | 2 NEWS.md | 25 +++ R/eyeris-package.R | 1 R/pipeline-bidsify.R | 33 +++-- R/pipeline-detrend.R | 6 R/pipeline-epoch.R | 4 R/pipeline-glassbox.R | 3 R/plot.eyeris.R | 202 +++++++++++++++++++------------ R/utils-eyelogger.R |only R/utils-render_report.R | 80 ++++++++++-- README.md | 2 build/partial.rdb |binary build/vignette.rds |binary inst/doc/complete-pipeline.html | 2 inst/doc/epoching-bids-reports.html | 2 man/eyelogger.Rd |only man/figures/README-timeseries-plot-2.png |binary man/figures/README-unnamed-chunk-3-1.png |binary man/plot.eyeris.Rd | 8 + man/plot_detrend_overlay.Rd |only 22 files changed, 291 insertions(+), 126 deletions(-)
Title: Conventional and Fuzzy Data Envelopment Analysis
Description: Set of functions for Data Envelopment Analysis. It runs both classic and fuzzy DEA models. See: Banker, R.; Charnes, A.; Cooper, W.W. (1984). <doi:10.1287/mnsc.30.9.1078>, Charnes, A.; Cooper, W.W.; Rhodes, E. (1978). <doi:10.1016/0377-2217(78)90138-8> and Charnes, A.; Cooper, W.W.; Rhodes, E. (1981). <doi:10.1287/mnsc.27.6.668>.
Author: Vicente Coll-Serrano [aut],
Vicente Bolos [aut, cre],
Rafael Benitez Suarez [aut]
Maintainer: Vicente Bolos <vicente.bolos@uv.es>
Diff between deaR versions 1.4.1 dated 2023-05-02 and 1.5 dated 2025-06-13
DESCRIPTION | 26 ++++++++++++--- MD5 | 30 ++++++++++-------- NAMESPACE | 4 ++ R/extreme_efficient.R | 8 ++-- R/make_deadata.R | 65 ++++++++++++++++++++++++++++++++++++--- R/model_basic.R | 2 - R/model_dir.R |only R/model_lgo.R |only R/model_qgo.R |only R/multipliers.R | 2 - R/rts.R | 78 ++++++++++++++++++++++++----------------------- R/summary.dea.R | 7 +++- build/partial.rdb |binary man/extreme_efficient.Rd | 6 +-- man/make_deadata.Rd | 19 ++++++++++- man/model_basic.Rd | 2 - man/model_dir.Rd |only man/model_lgo.Rd |only man/model_qgo.Rd |only 19 files changed, 177 insertions(+), 72 deletions(-)
Title: Slide Automation for Tables, Listings and Figures
Description: The normal process of creating clinical study slides is that
a statistician manually type in the numbers from outputs and a
separate statistician to double check the typed in numbers. This
process is time consuming, resource intensive, and error prone.
Automatic slide generation is a solution to address these issues. It
reduces the amount of work and the required time when creating slides,
and reduces the risk of errors from manually typing or copying numbers
from the output to slides. It also helps users to avoid unnecessary
stress when creating large amounts of slide decks in a short time
window.
Author: Joe Zhu [cre, aut] ,
Heng Wang [aut],
Yinqi Zhao [aut],
Bo Ci [aut],
Liming Li [aut],
Laura Wang [ctb],
Xiaoli Duan [aut],
Stefan Pascal Thoma [aut],
Thomas Neitmann [ctb],
Miles Almond [aut],
Mahdi About [ctb],
Kai Lim [ctb],
Nolan Steed [ctb],
Daol [...truncated...]
Maintainer: Joe Zhu <joe.zhu@roche.com>
Diff between autoslider.core versions 0.2.4 dated 2025-04-17 and 0.2.5 dated 2025-06-13
DESCRIPTION | 35 ++++---- MD5 | 42 ++++++---- NAMESPACE | 3 NEWS.md | 9 +- R/ai.R |only R/decorate.R | 2 R/spec.R | 1 R/t_ae_summary_slide.R | 28 ++++-- R/to_slides.R | 5 - R/util.R | 2 build/vignette.rds |binary inst/WORDLIST | 4 inst/doc/autoslideR.html | 8 - inst/prompt.yml |only man/adding_ai_footnotes.Rd |only man/get_ellmer_chat.Rd |only man/get_prompt_list.Rd |only man/read_spec.Rd | 1 tests/testthat/_snaps/g_mean_slides/g_eg_test.new.svg |only tests/testthat/_snaps/g_mean_slides/g_lb_chg_test.new.svg |only tests/testthat/_snaps/g_mean_slides/g_lb_test.new.svg |only tests/testthat/_snaps/g_mean_slides/g_mean_general_test.new.svg |only tests/testthat/_snaps/g_mean_slides/g_mean_nounit_test.new.svg |only tests/testthat/_snaps/g_mean_slides/g_vs_test.new.svg |only tests/testthat/test-decorate.R | 4 tests/testthat/test-srep_outputs.R | 13 --- tests/testthat/test-t_dm_slide.R | 4 tests/testthat/test_ai.R |only 28 files changed, 94 insertions(+), 67 deletions(-)
More information about autoslider.core at CRAN
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Title: Compositional Models to Longitudinal Microbiome Data
Description: Implementation of models to analyse compositional microbiome time series taking into account the interaction between groups of bacteria. The models implemented are described in Creus-Martí et al (2018, ISBN:978-84-09-07541-6), Creus-Martí et al (2021) <doi:10.1155/2021/9951817> and Creus-Martí et al (2022) <doi:10.1155/2022/4907527>.
Author: Irene Creus Marti [aut, cre]
Maintainer: Irene Creus Marti <ircrmar@mat.upv.es>
Diff between CoDaLoMic versions 0.1.0 dated 2025-01-20 and 0.1.1 dated 2025-06-13
DESCRIPTION | 13 +++++---- MD5 | 17 +++++++----- R/TableBPBM.R | 40 ++++++------------------------ R/TableFBM.R | 9 ++++-- R/Table_alr_Dirich_glv.R | 27 +++++--------------- man/TableBPBM.Rd | 18 ++++--------- man/TableFBM.Rd | 5 ++- man/Table_alr_Dirich_glv.Rd | 5 ++- tests/testthat/testTableBPBM.R |only tests/testthat/testTableFBM.R |only tests/testthat/testTable_alr_Dirich_glv.R |only 11 files changed, 50 insertions(+), 84 deletions(-)
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2011-10-17 1.1
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Title: Causal Analysis of Observational Time-to-Event Data
Description: Implements target trial emulation methods to apply randomized
clinical trial design and analysis in an observational setting. Using
marginal structural models, it can estimate intention-to-treat and
per-protocol effects in emulated trials using electronic health
records. A description and application of the method can be found in
Danaei et al (2013) <doi:10.1177/0962280211403603>.
Author: Isaac Gravestock [aut, cre] ,
Li Su [aut],
Roonak Rezvani [aut] ,
Julia Moesch [aut],
Medical Research Council [fnd],
F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Isaac Gravestock <isaac.gravestock@roche.com>
Diff between TrialEmulation versions 0.0.4.2 dated 2025-02-21 and 0.0.4.5 dated 2025-06-13
DESCRIPTION | 15 +- MD5 | 18 +- NEWS.md | 6 R/trial_sequence.R | 10 + build/vignette.rds |binary inst/WORDLIST | 3 inst/doc/Getting-Started.html | 188 +++++++++++++++--------------- inst/doc/new-interface.html | 12 - tests/testthat/test-te_datastore_duckdb.R | 34 +++-- tests/testthat/test-trial_sequence.R | 24 +++ 10 files changed, 177 insertions(+), 133 deletions(-)
More information about TrialEmulation at CRAN
Permanent link
Title: Radiocarbon Equations
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon realms (C14 age, F14C, pMC, D14C) and estimating the effects of contamination or local reservoir offsets (Reimer and Reimer 2001 <doi:10.1017/S0033822200038339>). The methods follow long-established recommendations such as Stuiver and Polach (1977) <doi:10.1017/S0033822200003672> and Reimer et al. (2004) <doi:10.1017/S0033822200033154>. This package uses the calibration curves from the data package 'rintcal'.
Author: Maarten Blaauw [aut, cre]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>
Diff between rice versions 1.1.1 dated 2025-04-09 and 1.2.0 dated 2025-06-13
rice-1.1.1/rice/man/overlapping.Rd |only rice-1.2.0/rice/DESCRIPTION | 17 - rice-1.2.0/rice/MD5 | 84 ++++--- rice-1.2.0/rice/NAMESPACE | 14 + rice-1.2.0/rice/NEWS.md | 11 rice-1.2.0/rice/R/calibrate.R | 40 ++- rice-1.2.0/rice/R/marine.R | 256 +++++++++++++++++----- rice-1.2.0/rice/R/plots.R | 66 +++-- rice-1.2.0/rice/R/realms.R | 247 +++++++++++++++++++-- rice-1.2.0/rice/R/rice-package.R | 20 + rice-1.2.0/rice/R/rice.R | 99 ++++++++ rice-1.2.0/rice/R/sets.R | 136 ++++++----- rice-1.2.0/rice/R/sources.R | 15 - rice-1.2.0/rice/build/partial.rdb |binary rice-1.2.0/rice/build/vignette.rds |binary rice-1.2.0/rice/inst/doc/rice.R | 6 rice-1.2.0/rice/inst/doc/rice.Rmd | 31 +- rice-1.2.0/rice/inst/doc/rice.html | 321 +++++++++++++++------------- rice-1.2.0/rice/man/BCADtoC14.Rd | 2 rice-1.2.0/rice/man/BCADtoD14C.Rd | 2 rice-1.2.0/rice/man/BCADtoF14C.Rd | 4 rice-1.2.0/rice/man/BCADtob2k.Rd |only rice-1.2.0/rice/man/BCADtocalBP.Rd | 2 rice-1.2.0/rice/man/BCADtopMC.Rd | 4 rice-1.2.0/rice/man/C14tob2k.Rd |only rice-1.2.0/rice/man/F14CtoC14.Rd | 4 rice-1.2.0/rice/man/adjust.background.Rd |only rice-1.2.0/rice/man/adjust.fractionation.Rd |only rice-1.2.0/rice/man/b2ktoBCAD.Rd |only rice-1.2.0/rice/man/b2ktoC14.Rd |only rice-1.2.0/rice/man/b2ktoD14C.Rd |only rice-1.2.0/rice/man/b2ktoF14C.Rd |only rice-1.2.0/rice/man/b2ktocalBP.Rd |only rice-1.2.0/rice/man/b2ktopMC.Rd |only rice-1.2.0/rice/man/calBPtoBCAD.Rd | 2 rice-1.2.0/rice/man/calBPtob2k.Rd |only rice-1.2.0/rice/man/calibrate.Rd | 2 rice-1.2.0/rice/man/contaminate.Rd | 2 rice-1.2.0/rice/man/draw.ccurve.Rd | 13 - rice-1.2.0/rice/man/find.shells.Rd | 10 rice-1.2.0/rice/man/fractions.Rd | 5 rice-1.2.0/rice/man/map.shells.Rd | 10 rice-1.2.0/rice/man/overlap.Rd |only rice-1.2.0/rice/man/pool.Rd | 12 - rice-1.2.0/rice/man/rice-package.Rd | 2 rice-1.2.0/rice/man/rice.Rd | 2 rice-1.2.0/rice/man/shells.mean.Rd | 5 rice-1.2.0/rice/tests |only rice-1.2.0/rice/vignettes/rice.Rmd | 31 +- 49 files changed, 1045 insertions(+), 432 deletions(-)
Title: Maxwell Control Charts
Description: Computes Control limits, coefficients of control limits, various performance metrics and depicts control charts for monitoring Maxwell-distributed quality characteristics.
Author: Zahid Khan [aut],
Zsolt T. Kosztyan [aut, cre]
Maintainer: Zsolt T. Kosztyan <kosztyan.zsolt@gtk.uni-pannon.hu>
Diff between mxcc versions 0.0.2 dated 2025-05-12 and 0.0.3 dated 2025-06-13
DESCRIPTION | 6 +- MD5 | 6 +- R/print.R | 166 ++++++++++++++++++++++++++++++------------------------------ R/summary.R | 106 +++++++++++++++++++------------------- 4 files changed, 143 insertions(+), 141 deletions(-)
Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from
Model Outputs
Description: Compute marginal effects and adjusted predictions from statistical
models and returns the result as tidy data frames. These data frames are
ready to use with the 'ggplot2'-package. Effects and predictions can be
calculated for many different models. Interaction terms, splines and
polynomial terms are also supported. The main functions are ggpredict(),
ggemmeans() and ggeffect(). There is a generic plot()-method to plot the
results using 'ggplot2'.
Author: Daniel Luedecke [aut, cre] ,
Frederik Aust [ctb] ,
Sam Crawley [ctb] ,
Mattan S. Ben-Shachar [ctb] ,
Sean C. Anderson [ctb]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>
Diff between ggeffects versions 2.2.1 dated 2025-03-11 and 2.3.0 dated 2025-06-13
ggeffects-2.2.1/ggeffects/tests/testthat/test-mlogit.R |only ggeffects-2.3.0/ggeffects/DESCRIPTION | 20 ggeffects-2.3.0/ggeffects/MD5 | 33 ggeffects-2.3.0/ggeffects/NEWS.md | 12 ggeffects-2.3.0/ggeffects/R/pool_comparisons.R | 22 ggeffects-2.3.0/ggeffects/R/sanitize_type_arg.R | 31 ggeffects-2.3.0/ggeffects/R/test_predictions.R | 378 ---------- ggeffects-2.3.0/ggeffects/R/test_predictions_emmeans.R | 15 ggeffects-2.3.0/ggeffects/R/test_predictions_ggeffects.R | 10 ggeffects-2.3.0/ggeffects/README.md | 45 + ggeffects-2.3.0/ggeffects/build/vignette.rds |binary ggeffects-2.3.0/ggeffects/man/test_predictions.Rd | 210 ----- ggeffects-2.3.0/ggeffects/tests/testthat/test-interval_re.R | 1 ggeffects-2.3.0/ggeffects/tests/testthat/test-pool_comparisons.R |only ggeffects-2.3.0/ggeffects/tests/testthat/test-print_test_predictions-ordinal.R | 3 ggeffects-2.3.0/ggeffects/tests/testthat/test-print_test_predictions.R |only ggeffects-2.3.0/ggeffects/tests/testthat/test-print_zero_inflation.R |only ggeffects-2.3.0/ggeffects/tests/testthat/test-test_predictions-margin.R |only ggeffects-2.3.0/ggeffects/tests/testthat/test-test_predictions-mixed.R |only ggeffects-2.3.0/ggeffects/tests/testthat/test-test_predictions_emmeans.R |only ggeffects-2.3.0/ggeffects/tests/testthat/test-test_predictions_ggeffects.R |only ggeffects-2.3.0/ggeffects/tests/testthat/test-vcov.R |only 22 files changed, 146 insertions(+), 634 deletions(-)
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2021-07-22 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-03-16 1.2
2017-08-22 1.1
2016-07-19 1.0
Title: Collection of Convenient Functions for Common Statistical
Computations
Description: Collection of convenient functions for common statistical computations,
which are not directly provided by R's base or stats packages.
This package aims at providing, first, shortcuts for statistical measures,
which otherwise could only be calculated with additional effort
(like Cramer's V, Phi, or effect size statistics like Eta or Omega squared),
or for which currently no functions available. Second, another focus
lies on weighted variants of common statistical measures and tests
like weighted standard error, mean, t-test, correlation, and more.
Author: Daniel Luedecke [aut, cre]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>
Diff between sjstats versions 0.19.0 dated 2024-05-14 and 0.19.1 dated 2025-06-13
DESCRIPTION | 23 ++-- MD5 | 34 +++--- NEWS.md | 4 R/chi_squared_test.R | 2 R/kruskal_wallis_test.R | 5 R/prop.R | 4 build/partial.rdb |binary man/cv_error.Rd | 98 +++++++++---------- man/design_effect.Rd | 86 ++++++++-------- man/is_prime.Rd | 48 ++++----- man/nhanes_sample.Rd | 30 ++--- man/prop.Rd | 4 man/svyglm.nb.Rd | 154 +++++++++++++++--------------- man/svyglm.zip.Rd | 114 +++++++++++----------- man/table_values.Rd | 74 +++++++------- man/weight.Rd | 114 +++++++++++----------- tests/testthat/_snaps/chi_squared_test.md | 5 tests/testthat/test-chi_squared_test.R | 1 18 files changed, 397 insertions(+), 403 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-10-07 1.5.4
2020-02-06 1.5.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-06-02 1.3.1
2016-04-27 1.3
2016-03-03 1.2.2
2016-01-28 1.2.1
2015-04-29 1.2
2015-01-27 1.1
2014-10-24 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-07-16 0.0.8
2021-07-12 0.0.7
2021-03-04 0.0.6
2021-02-09 0.0.5
2020-09-02 0.0.4
2020-07-02 0.0.3
2020-03-04 0.0.2
2019-11-05 0.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-03-23 1.0.2
2019-07-15 1.0.1
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2017-07-25 1.2.0
2017-06-25 1.1.0
2017-06-04 1.0.0
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2017-01-23 0.1
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2021-03-02 1.3.11
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2018-05-20 1.3.8
2017-06-19 1.2.9
2017-06-15 1.2.8
2017-05-15 1.1.5
2017-02-01 0.1.7
2017-01-29 0.1.6
Previous versions (as known to CRANberries) which should be available via the Archive link are:
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2019-07-12 1.0.0
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2021-04-19 1.4.5
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2019-10-03 1.4.2
2019-09-23 1.4.1
2019-05-29 1.3.1
2019-05-22 1.3
2018-10-16 1.1
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2012-07-23 1.1.1
2012-07-22 1.1.0
2011-06-17 1.0.0
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2015-12-14 1.0.2
2015-08-26 1.0.1
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2021-05-29 1.0.16
2015-02-16 1.0.10
2013-12-20 1.0.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-01-04 1.1
2017-11-20 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-08-18 1.0
2012-08-22 0.2
2011-06-03 0.1
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2020-10-11 1.0.1
2020-08-02 1.0.0
2019-04-19 0.9.9
2019-01-14 0.9.8
2018-08-05 0.9.7
2018-01-21 0.9.6
2017-01-09 0.9.2
2016-08-09 0.9.1
Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially
distributed animal population sampled with an array of passive detectors,
such as traps, or by searching polygons or transects. Models incorporating
distance-dependent detection are fitted by maximizing the likelihood.
Tools are included for data manipulation and model selection.
Author: Murray Efford [aut, cre] ,
Philipp Jund [ctb] ,
David Fletcher [ctb] ,
Yan Ru Choo [ctb]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>
Diff between secr versions 5.2.1 dated 2025-03-18 and 5.2.4 dated 2025-06-13
secr-5.2.1/secr/man/chat.Rd |only secr-5.2.4/secr/DESCRIPTION | 15 ++- secr-5.2.4/secr/MD5 | 63 ++++++++-------- secr-5.2.4/secr/NAMESPACE | 1 secr-5.2.4/secr/NEWS | 32 ++++++++ secr-5.2.4/secr/R/adjustVarD.R |only secr-5.2.4/secr/R/chatnj.R |only secr-5.2.4/secr/R/chatnk.R | 71 ++---------------- secr-5.2.4/secr/R/empirical.R | 15 ++- secr-5.2.4/secr/R/generalsecrloglik.R | 12 --- secr-5.2.4/secr/R/pxi.R | 13 ++- secr-5.2.4/secr/R/randomHabitat.R | 2 secr-5.2.4/secr/R/sim.capthist.R | 6 - secr-5.2.4/secr/R/sim.popn.R | 85 ++++++++++++++++------ secr-5.2.4/secr/inst/doc/secr-datainput.pdf |binary secr-5.2.4/secr/inst/doc/secr-overview.pdf |binary secr-5.2.4/secr/man/Fletcher.chat.Rd | 35 +++++++-- secr-5.2.4/secr/man/MCgof.Rd | 6 - secr-5.2.4/secr/man/MCgof.methods.Rd | 2 secr-5.2.4/secr/man/Rsurface.Rd | 4 + secr-5.2.4/secr/man/chatnj.Rd |only secr-5.2.4/secr/man/chatnk.Rd |only secr-5.2.4/secr/man/cluster.Rd | 3 secr-5.2.4/secr/man/coulombe.Rd | 7 - secr-5.2.4/secr/man/deermouse.Rd | 3 secr-5.2.4/secr/man/empirical.Rd | 10 ++ secr-5.2.4/secr/man/make.lacework.Rd | 3 secr-5.2.4/secr/man/plot.traps.Rd | 2 secr-5.2.4/secr/man/secr-internal.Rd | 2 secr-5.2.4/secr/man/secr-package.Rd | 4 - secr-5.2.4/secr/man/secr-version5.Rd | 8 +- secr-5.2.4/secr/man/secr.test.Rd | 2 secr-5.2.4/secr/man/sim.popn.Rd | 58 +++++++++++---- secr-5.2.4/secr/man/stoatDNA.Rd | 3 secr-5.2.4/secr/tests/testthat/test-trapbuilder.R | 18 ++-- 35 files changed, 293 insertions(+), 192 deletions(-)
Title: Latent Interaction (and Moderation) Analysis in Structural
Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables
in structural equation models (SEM).
The supported methods are:
The constrained approach (Algina & Moulder, 2001).
The unconstrained approach (Marsh et al., 2004).
The residual centering approach (Little et al., 2006).
The double centering approach (Lin et al., 2010).
The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000).
The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) (temporarily unavailable)
The constrained- unconstrained, residual- and double centering- approaches
are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches
are estimated via 'modsem' it self. Alternatively model can be
estimated via 'Mplus' (Muthén & Muthén, 1998-2017).
References:
Algina, J., & Moulder, B. C. (2001).
<doi:10.1207/S15328007SEM0801_3>.
"A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8. [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre] ,
Mehmet Mehmetoglu [ctb] ,
Matthias Mittner [ctb]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>
Diff between modsem versions 1.0.9 dated 2025-06-11 and 1.0.10 dated 2025-06-13
modsem-1.0.10/modsem/DESCRIPTION | 6 modsem-1.0.10/modsem/MD5 | 45 +- modsem-1.0.10/modsem/R/est_h0.R | 22 - modsem-1.0.10/modsem/R/generics_modsem_da.R | 10 modsem-1.0.10/modsem/R/generics_modsem_pi.R | 20 - modsem-1.0.10/modsem/R/utils_da.R | 2 modsem-1.0.10/modsem/inst/doc/customizing.R | 84 ++-- modsem-1.0.10/modsem/inst/doc/estimation_lms.R | 54 +-- modsem-1.0.10/modsem/inst/doc/fit_measures_da.R | 40 +- modsem-1.0.10/modsem/inst/doc/higher_order_interactions.R | 94 ++--- modsem-1.0.10/modsem/inst/doc/interaction_two_etas.R | 68 +-- modsem-1.0.10/modsem/inst/doc/lavaan.R | 32 - modsem-1.0.10/modsem/inst/doc/lms_qml.R | 82 ++-- modsem-1.0.10/modsem/inst/doc/methods.R | 44 +- modsem-1.0.10/modsem/inst/doc/modsem.R | 172 +++++----- modsem-1.0.10/modsem/inst/doc/observed_lms_qml.R | 2 modsem-1.0.10/modsem/inst/doc/observed_lms_qml.html | 4 modsem-1.0.10/modsem/inst/doc/plot_interactions.R | 32 - modsem-1.0.10/modsem/inst/doc/plot_interactions.html | 4 modsem-1.0.10/modsem/inst/doc/quadratic.R | 48 +- modsem-1.0.10/modsem/inst/doc/simple_slopes.R | 82 ++-- modsem-1.0.10/modsem/tests/testthat/test_labels_h0_pi.R |only modsem-1.0.10/modsem/tests/testthat/test_mediated_moderation.R |only modsem-1.0.10/modsem/tests/testthat/test_zero_variance_indicator_lms.R | 90 +++-- modsem-1.0.9/modsem/tests/testthat/test_labels_lav.R |only 25 files changed, 544 insertions(+), 493 deletions(-)
Title: Factor-Augmented Regression Scenarios
Description: Provides a comprehensive framework in R for modeling and forecasting economic scenarios based on multi-level dynamic factor model. The package enables users to: (i) extract global and block-specific factors using a flexible multilevel factor structure; (ii) compute asymptotically valid confidence regions for the estimated factors, accounting for uncertainty in the factor loadings; (iii) estimate factor-augmented quantile regressions; (iv) recover full predictive densities from these quantile forecasts; and (v) estimate the density when the factors are stressed.
Author: Gian Pietro Bellocca [aut, cre],
Ignacio Garron [aut],
Vladimir Rodriguez-Caballero [aut],
Esther Ruiz [aut]
Maintainer: Gian Pietro Bellocca <gbellocc@est-econ.uc3m.es>
Diff between FARS versions 0.3.0 dated 2025-05-22 and 0.4.0 dated 2025-06-13
DESCRIPTION | 6 +-- MD5 | 42 +++++++++++++++----------- NAMESPACE | 1 R/compute_fars.R | 42 ++++++++++++++++++++------ R/compute_gamma_atcsr.R |only R/compute_optimal_delta.R |only R/compute_stressed_factors.R |only R/create_scenario.R | 64 ++++++++++++++++------------------------ R/orthogonalize_factors.R | 4 -- R/plot.fars.R | 4 +- R/print.fars.R | 6 +-- R/print.mldfm.R | 2 - R/q_reg.R | 57 +++++------------------------------ R/summary.mldfm.R | 4 +- inst/doc/introduction.R | 23 +++++--------- inst/doc/introduction.Rmd | 23 +++++--------- inst/doc/introduction.html | 33 +++++++++----------- man/compute_fars.Rd | 11 +++++- man/compute_gamma_atcsr.Rd |only man/compute_optimal_delta.Rd |only man/compute_stressed_factors.Rd |only man/create_scenario.Rd | 10 ++---- man/q_reg.Rd | 4 -- man/shift.Rd | 6 +++ vignettes/introduction.Rmd | 23 +++++--------- 25 files changed, 160 insertions(+), 205 deletions(-)
Title: Bayesian Preference Learning with the Mallows Rank Model
Description: An implementation of the Bayesian version of the Mallows rank model
(Vitelli et al., Journal of Machine Learning Research, 2018 <https://jmlr.org/papers/v18/15-481.html>;
Crispino et al., Annals of Applied Statistics, 2019 <doi:10.1214/18-AOAS1203>;
Sorensen et al., R Journal, 2020 <doi:10.32614/RJ-2020-026>;
Stein, PhD Thesis, 2023 <https://eprints.lancs.ac.uk/id/eprint/195759>). Both Metropolis-Hastings
and sequential Monte Carlo algorithms for estimating the models are available. Cayley, footrule,
Hamming, Kendall, Spearman, and Ulam distances are supported in the models. The rank data to be
analyzed can be in the form of complete rankings, top-k rankings, partially missing rankings, as well
as consistent and inconsistent pairwise preferences. Several functions for plotting and studying the
posterior distributions of parameters are provided. The package also provides functions for estimating
the partition function (normalizing constant) of the Mallows rank mo [...truncated...]
Author: Oystein Sorensen [aut, cre] ,
Waldir Leoncio [aut],
Valeria Vitelli [aut] ,
Marta Crispino [aut],
Qinghua Liu [aut],
Cristina Mollica [aut],
Luca Tardella [aut],
Anja Stein [aut]
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>
Diff between BayesMallows versions 2.2.3 dated 2025-01-14 and 2.2.4 dated 2025-06-13
DESCRIPTION | 11 ++- MD5 | 16 ++--- NEWS.md | 4 + build/partial.rdb |binary build/vignette.rds |binary tests/testthat/test-assess_convergence.R | 90 +++++++++++++++++-------------- tests/testthat/test-plot.R | 3 - tests/testthat/test-plot_elbow.R | 5 + tests/testthat/test-plot_top_k.R | 7 +- 9 files changed, 79 insertions(+), 57 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-10-19 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-08-07 1.3.1
2018-05-17 1.2
2017-12-17 1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-01-13 0.5.0
2016-08-08 0.2.0
2016-03-09 0.1.1
2016-03-09 0.1.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-11-27 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-08-12 1.2.2
2020-06-09 1.2.1
2020-02-06 1.1
2019-08-30 1.0
2019-07-04 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-01-21 1.2.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-04-29 1.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-09-13 0.0.3
2019-07-28 0.0.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-01-07 1.3.0
2017-11-22 1.2.3
2017-04-03 1.1.8
2016-11-05 1.1.4
2015-09-06 1.0.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-06-24 1.2.0
2018-04-19 1.1.0
2017-07-13 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-08-13 1.0-3
2016-08-11 1.0-2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-01-10 1.0-1
2020-06-27 1.0-0
2017-10-14 0.0-4
2015-08-08 0.0-3
2015-06-26 0.0-2
2015-06-21 0.0-1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-05-28 1.0.2
2018-10-01 1.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-01-19 0.1.1
2020-06-09 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-05-19 0.0.5
2016-02-23 0.0.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-07-23 0.1-2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-03-22 0.1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-06-29 1.1.7
2020-01-21 1.1.6
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-09-30 1.5.2
2020-06-29 1.5.1
2020-03-12 1.5
2018-03-09 1.4.2
2018-02-18 1.4.1
2018-02-03 1.4
2017-12-07 1.3
2017-04-21 1.2
2017-04-17 1.1
2017-04-14 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-08-16 1.0.0
2013-07-15 0.9.2
Title: Sampling Design for Spatially Explicit Capture-Recapture
Description: Tools for designing spatially explicit capture-recapture studies of animal populations. This is primarily a simulation manager for package 'secr'. Extensions in version 2.5.0 include costing and evaluation of detector spacing.
Author: Murray Efford [aut, cre] ,
Ian Durbach [ctb]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>
Diff between secrdesign versions 2.9.3 dated 2025-03-26 and 2.10.0 dated 2025-06-13
DESCRIPTION | 13 ++++--- MD5 | 24 ++++++++----- NAMESPACE | 5 ++ NEWS | 7 ++++ R/countSummary.R |only R/make.scenarios.R | 26 ++++++-------- R/run.scenarios.R | 61 ++++++++++++++++++---------------- R/simOU.capthist.R |only R/utility.R | 77 ++++++++++++++++++++++++++++++++++++++++++++ man/estimateSummary.Rd | 26 ++++++++++++++ man/make.scenarios.Rd | 23 +++++++++---- man/run.scenarios.Rd | 7 ++-- man/secrdesign-package.Rd | 4 +- man/simOU.capthist.Rd |only tests/testthat/test-simOU.R |only 15 files changed, 202 insertions(+), 71 deletions(-)
Title: Age-Specific Bayesian Survival Trajectory Analysis from
Incomplete Census or Capture-Recapture/Recovery Data
Description: Estimates survival and mortality with covariates from census or capture-recapture/recovery data in a Bayesian framework when many individuals are of unknown age. It includes tools for data checking, model diagnostics and outputs such as life-tables and plots, as described in Colchero, Jones, and Rebke (2012) <doi:10.1111/j.2041-210X.2012.00186.x> and Colchero et al. (2021) <doi:10.1038/s41467-021-23894-3>.
Author: Fernando Colchero [aut, cre],
Owen Jones [ctb]
Maintainer: Fernando Colchero <fernando_colchero@eva.mpg.de>
Diff between BaSTA versions 2.0.1 dated 2025-01-16 and 2.0.2 dated 2025-06-13
DESCRIPTION | 8 ++++---- MD5 | 16 ++++++++-------- R/basta.R | 30 ++++++++++++++++++++++++++---- data/bastaCMRdat.RData |binary data/bastaCMRout.RData |binary data/bastaCensDat.RData |binary data/bastaCensOut.RData |binary man/BaSTA-package.Rd | 4 ++-- man/basta.Rd | 13 +++++++------ 9 files changed, 47 insertions(+), 24 deletions(-)