Mon, 23 Dec 2024

Package epilogi updated to version 1.2 with previous version 1.1 dated 2024-09-10

Title: The 'epilogi' Variable Selection Algorithm for Continuous Data
Description: The 'epilogi' variable selection algorithm is implemented for the case of continuous response and predictor variables. The relevant paper is: Lakiotaki K., Papadovasilakis Z., Lagani V., Fafalios S., Charonyktakis P., Tsagris M. and Tsamardinos I. (2023). "Automated machine learning for Genome Wide Association Studies". Bioinformatics, 39(9): btad545. <doi:10.1093/bioinformatics/btad545>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between epilogi versions 1.1 dated 2024-09-10 and 1.2 dated 2024-12-23

 DESCRIPTION            |   11 ++++++-----
 MD5                    |    8 ++++----
 R/epilogi.R            |   10 ++++------
 man/epilogi-package.Rd |    6 +++---
 man/epilogi.Rd         |    7 +++++--
 5 files changed, 22 insertions(+), 20 deletions(-)

More information about epilogi at CRAN
Permanent link

Package scR updated to version 0.4.0 with previous version 0.3.0 dated 2024-12-18

Title: Estimate Vapnik-Chervonenkis Dimension and Sample Complexity
Description: We provide a suite of tools for estimating the sample complexity of a chosen model through theoretical bounds and simulation. The package incorporates methods for estimating the Vapnik-Chervonenkis dimension (VCD) of a chosen algorithm, which can be used to estimate its sample complexity. Alternatively, we provide simulation methods to estimate sample complexity directly. For more details, see Carter, P & Choi, D (2024). "Learning from Noise: Applying Sample Complexity for Political Science Research" <doi:10.31219/osf.io/evrcj>.
Author: Perry Carter [aut, cre] , Dahyun Choi [aut]
Maintainer: Perry Carter <pjc504@nyu.edu>

Diff between scR versions 0.3.0 dated 2024-12-18 and 0.4.0 dated 2024-12-23

 DESCRIPTION              |    6 +-
 LICENSE                  |    4 -
 MD5                      |   32 +++++++-------
 NAMESPACE                |    1 
 R/data.R                 |   22 ++++-----
 R/datagen.R              |  106 +++++++++++++++++++++++------------------------
 R/globals.R              |    2 
 R/scR.R                  |    9 ++-
 R/simulations.R          |   52 +++++++++++++++--------
 man/acc_sim.Rd           |   81 +++++++++++++++++++++++++----------
 man/br.Rd                |   44 +++++++++----------
 man/estimate_accuracy.Rd |    4 -
 man/getpac.Rd            |    2 
 man/loss.Rd              |   60 +++++++++++++-------------
 man/plot_accuracy.Rd     |    2 
 man/risk_bounds.Rd       |   38 ++++++++--------
 man/simvcd.Rd            |    3 +
 17 files changed, 263 insertions(+), 205 deletions(-)

More information about scR at CRAN
Permanent link

New package sigugr with initial version 1.0.0
Package: sigugr
Title: Workflow for Geographic Data
Version: 1.0.0
Description: Streamlines geographic data transformation, storage and publication, simplifying data preparation and enhancing interoperability across formats and platforms.
License: MIT + file LICENSE
URL: https://josesamos.github.io/sigugr/, https://github.com/josesamos/sigugr
BugReports: https://github.com/josesamos/sigugr/issues
Depends: R (>= 2.10)
Imports: clc, gdalUtilities, httr, jsonlite, rpostgis, sf, snakecase, terra
Suggests: httptest2, knitr, mockery, purrr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2024-12-20 13:13:21 UTC; jsamos
Author: Jose Samos [aut, cre] , Universidad de Granada [cph]
Maintainer: Jose Samos <jsamos@ugr.es>
Repository: CRAN
Date/Publication: 2024-12-23 11:20:01 UTC

More information about sigugr at CRAN
Permanent link

New package itmsa with initial version 0.1.0
Package: itmsa
Title: Information-Theoretic Measures for Spatial Association
Version: 0.1.0
Description: Leveraging information-theoretic measures like mutual information and v-measure to quantify spatial associations between patterns (Nowosad and Stepinski (2018) <doi:10.1080/13658816.2018.1511794>; Bai, H. et al. (2023) <doi:10.1080/24694452.2023.2223700>).
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/itmsa/, https://github.com/stscl/itmsa
BugReports: https://github.com/stscl/itmsa/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppThread
Imports: dplyr, purrr, sdsfun (>= 0.6.0), sf
Suggests: knitr, Rcpp, RcppThread, readr, rmarkdown, tibble
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-22 14:12:03 UTC; dell
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-23 11:30:01 UTC

More information about itmsa at CRAN
Permanent link

New package ForestElementsR with initial version 2.0.1
Package: ForestElementsR
Title: Data Structures and Functions for Working with Forest Data
Version: 2.0.1
Date: 2024-12-20
Description: Provides generic data structures and algorithms for use with forest mensuration data in a consistent framework. The functions and objects included are a collection of broadly applicable tools. More specialized applications should be implemented in separate packages that build on this foundation. Documentation about 'ForestElementsR' is provided by three vignettes included in this package. For an introduction to the field of forest mensuration, refer to the textbooks by Kershaw et al. (2017) <doi:10.1002/9781118902028>, and van Laar and Akca (2007) <doi:10.1007/978-1-4020-5991-9>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: magrittr, ggplot2, tibble, dplyr, purrr, rlang, Rdpack, tidyr, vctrs, stringr, tidyselect (>= 1.2.0), doBy
Depends: R (>= 4.3), sf
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.2.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-20 21:06:25 UTC; peter
Author: Peter Biber [aut, cre, cph] , Astor Torano Caicoya [aut] , Torben Hilmers [ctb]
Maintainer: Peter Biber <p.biber@tum.de>
Repository: CRAN
Date/Publication: 2024-12-23 11:10:07 UTC

More information about ForestElementsR at CRAN
Permanent link

New package dataset with initial version 0.3.4
Package: dataset
Title: Create Data Frames that are Easier to Exchange and Reuse
Version: 0.3.4
Date: 2024-12-20
Language: en-US
Maintainer: Daniel Antal <daniel.antal@dataobservatory.eu>
Description: The aim of the 'dataset' package is to make tidy datasets easier to release, exchange and reuse. It organizes and formats data frame 'R' objects into well-referenced, well-described, interoperable datasets into release and reuse ready form.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://dataset.dataobservatory.eu/
BugReports: https://github.com/dataobservatory-eu/dataset/issues/
LazyData: true
Imports: assertthat, cli, haven, ISOcodes, labelled, methods, pillar, rlang, tibble, utils, vctrs (>= 0.5.2)
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-20 19:39:04 UTC; antal
Author: Daniel Antal [aut, cre] , Marcelo Perlin [rev]
Repository: CRAN
Date/Publication: 2024-12-23 11:10:02 UTC

More information about dataset at CRAN
Permanent link

New package TwoTimeScales with initial version 1.0.0
Package: TwoTimeScales
Title: Analysis of Event Data with Two Time Scales
Version: 1.0.0
URL: https://github.com/AngelaCar/TwoTimeScales, https://angelacar.github.io/TwoTimeScales/
Description: Analyse time to event data with two time scales by estimating a smooth hazard that varies over two time scales and also, if covariates are available, to estimate a proportional hazards model with such a two-dimensional baseline hazard. Functions are provided to prepare the raw data for estimation, to estimate and to plot the two-dimensional smooth hazard. Extension to a competing risks model are implemented. For details about the method please refer to Carollo et al. (2024) <doi:10.1002/sim.10297>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: colorspace, Epi, fields, JOPS, LMMsolver, popEpi, reshape2, spam, ucminf, viridis
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
BugReports: https://github.com/AngelaCar/TwoTimeScales/issues
NeedsCompilation: no
Packaged: 2024-12-20 08:58:34 UTC; Carollo
Author: Angela Carollo [aut, cre, cph] , Paul H.C. Eilers [aut], Jutta Gampe [aut]
Maintainer: Angela Carollo <carollo@demogr.mpg.de>
Repository: CRAN
Date/Publication: 2024-12-23 10:50:10 UTC

More information about TwoTimeScales at CRAN
Permanent link

New package metalite.sl with initial version 0.1.0
Package: metalite.sl
Title: Subject-Level Analysis Using 'metalite'
Version: 0.1.0
Description: Analyzes subject-level data in clinical trials using the 'metalite' data structure. The package simplifies the workflow to create production-ready tables, listings, and figures discussed in the subject-level analysis chapters of "R for Clinical Study Reports and Submission" by Zhang et al. (2022) <https://r4csr.org/>.
Depends: R (>= 4.1.0)
License: GPL (>= 3)
Imports: glue, metalite, metalite.ae, forestly, r2rtf, reactable, stringr, rlang, plotly, htmltools, brew, uuid
Suggests: dplyr, knitr, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-20 05:05:16 UTC; fukuhiro
Author: Benjamin Wang [aut, cre], Yujie Zhao [aut], Hiroaki Fukuda [aut], PoYao Niu [aut], Nan Xiao [aut], Jeetener Chauhan [ctb], Li Ma [ctb], Chen Wang [ctb], Merck Sharp & Dohme Corp [cph]
Maintainer: Benjamin Wang <benjamin.wang@merck.com>
Repository: CRAN
Date/Publication: 2024-12-23 10:50:01 UTC

More information about metalite.sl at CRAN
Permanent link

New package HSAR with initial version 0.6.0
Package: HSAR
Title: Hierarchical Spatial Autoregressive Model
Version: 0.6.0
Description: A Hierarchical Spatial Autoregressive Model (HSAR), based on a Bayesian Markov Chain Monte Carlo (MCMC) algorithm (Dong and Harris (2014) <doi:10.1111/gean.12049>). The creation of this package was supported by the Economic and Social Research Council (ESRC) through the Applied Quantitative Methods Network: Phase II, grant number ES/K006460/1.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://spatlyu.github.io/HSAR/, https://github.com/spatlyu/HSAR
BugReports: https://github.com/spatlyu/HSAR/issues
Depends: R (>= 3.5)
Imports: spdep, spatialreg, stats
Suggests: knitr, Matrix, RColorBrewer, Rcpp, RcppArmadillo, rmarkdown, sdsfun, sf, tidyverse
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2024-12-20 02:26:53 UTC; dell
Author: Guanpeng Dong [aut, cph] , Wenbo Lv [aut, cre] , Richard Harris [aut], Angelos Mimis [aut]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-23 10:30:02 UTC

More information about HSAR at CRAN
Permanent link

New package hdthreshold with initial version 1.0.0
Package: hdthreshold
Title: Inference on Many Jumps in Nonparametric Panel Regression Models
Version: 1.0.0
Description: Provides uniform testing procedures for existence and heterogeneity of threshold effects in high-dimensional nonparametric panel regression models. The package accompanies the paper Chen, Keilbar, Su and Wang (2023) "Inference on many jumps in nonparametric panel regression models". arXiv preprint <doi:10.48550/arXiv.2312.01162>.
Imports: fdrtool, KernSmooth, rdrobust, stats
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-20 16:39:58 UTC; georg
Author: Georg Keilbar [aut, cre, cph], Likai Chen [ctb], Liangjun Su [ctb], Weining Wang [ctb]
Maintainer: Georg Keilbar <georg.keilbar@hu-berlin.de>
Repository: CRAN
Date/Publication: 2024-12-23 10:50:06 UTC

More information about hdthreshold at CRAN
Permanent link

Package psych updated to version 2.4.12 with previous version 2.4.6.26 dated 2024-06-27

Title: Procedures for Psychological, Psychometric, and Personality Research
Description: A general purpose toolbox developed originally for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Validation and cross validation of scales developed using basic machine learning algorithms are provided, as are functions for simulating and testing particular item and test structures. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, including mediation models, factor analysis and structural equation models are created using basic graphics. Some of the fu [...truncated...]
Author: William Revelle [aut, cre]
Maintainer: William Revelle <revelle@northwestern.edu>

Diff between psych versions 2.4.6.26 dated 2024-06-27 and 2.4.12 dated 2024-12-23

 DESCRIPTION             |   12 +++---
 MD5                     |   60 ++++++++++++++++-----------------
 R/ICLUST.R              |   15 ++++----
 R/ICLUST.diagram.R      |    2 -
 R/bestScale.R           |   19 +++++-----
 R/cta.15.R              |    2 -
 R/diagram.R             |   14 ++++---
 R/error.bars.by.R       |   87 +++++++++++++++++++++++++++++-------------------
 R/fa.parallel.R         |   12 +++---
 R/reliability.R         |   23 +++++++-----
 R/schmid.R              |    2 -
 R/sim.hierarchical.R    |   11 +++++-
 R/sim.structural.R      |    5 +-
 R/thurstone.R           |    2 -
 R/unidim.r              |   21 +++++++++--
 build/partial.rdb       |binary
 build/vignette.rds      |binary
 inst/CITATION           |    2 -
 inst/NEWS.Rd            |   38 ++++++++++++++++++--
 inst/doc/scoring.pdf    |binary
 man/ICLUST.Rd           |   15 ++++++--
 man/best.scales.Rd      |    4 +-
 man/cta.Rd              |    3 -
 man/error.bars.by.Rd    |    2 -
 man/fa.Rd               |    5 ++
 man/factor.rotate.Rd    |    2 -
 man/factor.scores.Rd    |    2 -
 man/iclust.diagram.Rd   |    5 ++
 man/mediate.Rd          |    2 -
 man/reliability.Rd      |   17 ++++++---
 man/sim.hierarchical.Rd |    6 ++-
 31 files changed, 247 insertions(+), 143 deletions(-)

More information about psych at CRAN
Permanent link

Package autoslider.core updated to version 0.2.1 with previous version 0.1.0 dated 2024-11-27

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 0.1.0 dated 2024-11-27 and 0.2.1 dated 2024-12-23

 DESCRIPTION                                  |   50 +++---
 MD5                                          |   95 ++++++++---
 NAMESPACE                                    |   31 +--
 NEWS.md                                      |   17 ++
 R/assert.R                                   |   14 +
 R/decorate.R                                 |   28 +--
 R/ft_formats.R                               |   35 ----
 R/g_mean_slides.R                            |only
 R/helper_functions.R                         |    2 
 R/l_ae_slide.R                               |only
 R/null_report.R                              |    2 
 R/package.R                                  |   16 --
 R/t_ae_pt_diff_slide.R                       |    4 
 R/t_ae_slide.R                               |    4 
 R/t_ae_summary_slide.R                       |   12 -
 R/t_aesi_slide.R                             |   41 ++---
 R/t_dd_slide.R                               |    2 
 R/t_dm_slide.R                               |    2 
 R/t_ds_slide.R                               |only
 R/to_ft_funs.R                               |   83 +---------
 R/to_slides.R                                |    3 
 R/util.R                                     |   26 +--
 README.md                                    |   34 +++-
 build                                        |only
 inst/WORDLIST                                |   29 +++
 inst/bad_filters.yml                         |only
 inst/doc                                     |only
 inst/filters.yml                             |   15 +
 inst/spec.yml                                |   23 ++
 man/autoslider.core-package.Rd               |    2 
 man/autoslider_format.Rd                     |   10 -
 man/g_eg_slide.Rd                            |only
 man/g_lb_slide.Rd                            |only
 man/g_mean_general.Rd                        |only
 man/g_vs_slide.Rd                            |only
 man/l_ae_slide.Rd                            |only
 man/null_report.Rd                           |    2 
 man/t_ds_slide.Rd                            |only
 tests/testthat/_snaps/filter_spec-verbose.md |only
 tests/testthat/_snaps/format_date.md         |only
 tests/testthat/_snaps/helper_functions.md    |only
 tests/testthat/_snaps/l_ae_slide.md          |only
 tests/testthat/_snaps/slides_preview.md      |only
 tests/testthat/_snaps/t_ae_slide.md          |only
 tests/testthat/_snaps/t_ae_summary_slide.md  |only
 tests/testthat/_snaps/t_aesi_slide.md        |only
 tests/testthat/_snaps/t_dm_slide.md          |  216 +++++++++++++--------------
 tests/testthat/_snaps/t_ds_slide.md          |only
 tests/testthat/setup.R                       |    2 
 tests/testthat/t_dm_output.rds               |only
 tests/testthat/test-bad_filters.R            |only
 tests/testthat/test-filter_spec-verbose.R    |only
 tests/testthat/test-formats.R                |only
 tests/testthat/test-g_mean_slides.R          |only
 tests/testthat/test-helper_functions.R       |only
 tests/testthat/test-l_ae_slide.R             |only
 tests/testthat/test-output-table-format.R    |only
 tests/testthat/test-slides_preview.R         |only
 tests/testthat/test-srep_outputs.R           |only
 tests/testthat/test-t_ae_slide.R             |only
 tests/testthat/test-t_ae_summary_slide.R     |only
 tests/testthat/test-t_aesi_slide.R           |only
 tests/testthat/test-t_dm_slide.R             |   10 -
 tests/testthat/test-t_ds_slide.R             |only
 tests/testthat/test_format_date.R            |only
 vignettes                                    |only
 66 files changed, 416 insertions(+), 394 deletions(-)

More information about autoslider.core at CRAN
Permanent link


Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.