Wed, 18 Dec 2024

Package groupdata2 updated to version 2.0.5 with previous version 2.0.3 dated 2023-06-18

Title: Creating Groups from Data
Description: Methods for dividing data into groups. Create balanced partitions and cross-validation folds. Perform time series windowing and general grouping and splitting of data. Balance existing groups with up- and downsampling or collapse them to fewer groups.
Author: Ludvig Renbo Olsen [aut, cre]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

Diff between groupdata2 versions 2.0.3 dated 2023-06-18 and 2.0.5 dated 2024-12-18

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Package TableMonster updated to version 1.7.5 with previous version 1.7 dated 2018-04-26

Title: Table Monster
Description: Provides a user friendly interface to generation of booktab style tables using 'xtable'.
Author: Grant Izmirlian [aut, cre]
Maintainer: Grant Izmirlian <izmirlig@mail.nih.gov>

Diff between TableMonster versions 1.7 dated 2018-04-26 and 1.7.5 dated 2024-12-18

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 MD5                  |   16 +++-
 NAMESPACE            |    5 -
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Package scR updated to version 0.3.0 with previous version 0.2.0 dated 2024-12-16

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 0.2.0 dated 2024-12-16 and 0.3.0 dated 2024-12-18

 DESCRIPTION        |    6 
 LICENSE            |    4 
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 R/data.R           |   22 -
 R/datagen.R        |  106 ++++----
 R/globals.R        |    2 
 R/scR.R            |  380 +++++++++++++++----------------
 R/simulations.R    |  644 +++++++++++++++++++++++++++--------------------------
 man/acc_sim.Rd     |   46 +--
 man/br.Rd          |   44 +--
 man/loss.Rd        |   60 ++--
 man/risk_bounds.Rd |   38 +--
 12 files changed, 694 insertions(+), 680 deletions(-)

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New package pwrFDR with initial version 3.2.2
Package: pwrFDR
Version: 3.2.2
Title: FDR Power
Imports: flextable, ggplot2, methods, mvtnorm, stats, stringr, TableMonster
Description: Computing Average and TPX Power under various BHFDR type sequential procedures. All of these procedures involve control of some summary of the distribution of the FDP, e.g. the proportion of discoveries which are false in a given experiment. The most widely known of these, the BH-FDR procedure, controls the FDR which is the mean of the FDP. A lesser known procedure, due to Lehmann and Romano, controls the FDX, or probability that the FDP exceeds a user provided threshold. This is less conservative than FWE control procedures but much more conservative than the BH-FDR proceudre. This package and the references supporting it introduce a new procedure for controlling the FDX which we call the BH-FDX procedure. This procedure iteratively identifies, given alpha and lower threshold delta, an alpha* less than alpha at which BH-FDR guarantees FDX control. This uses asymptotic approximation and is only slightly more conservative than the BH-FDR procedure. Likewise, we can think of the power i [...truncated...]
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2024-12-18 16:31:02 UTC; izmirlig
Author: Grant Izmirlian [aut, cre]
Maintainer: Grant Izmirlian <izmirlig@mail.nih.gov>
Repository: CRAN
Date/Publication: 2024-12-18 17:00:02 UTC

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Package mlflow updated to version 2.19.0 with previous version 2.18.0 dated 2024-11-24

Title: Interface to 'MLflow'
Description: R interface to 'MLflow', open source platform for the complete machine learning life cycle, see <https://mlflow.org/>. This package supports installing 'MLflow', tracking experiments, creating and running projects, and saving and serving models.
Author: Matei Zaharia [aut, cre], Javier Luraschi [aut], Kevin Kuo [aut] , RStudio [cph]
Maintainer: Matei Zaharia <matei@databricks.com>

Diff between mlflow versions 2.18.0 dated 2024-11-24 and 2.19.0 dated 2024-12-18

 DESCRIPTION |    6 +++---
 MD5         |    2 +-
 2 files changed, 4 insertions(+), 4 deletions(-)

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Package ExtremalDep updated to version 0.0.4-4 with previous version 0.0.4-3 dated 2024-12-12

Title: Extremal Dependence Models
Description: A set of procedures for parametric and non-parametric modelling of the dependence structure of multivariate extreme-values is provided. The statistical inference is performed with non-parametric estimators, likelihood-based estimators and Bayesian techniques. It adapts the methodologies of Beranger and Padoan (2015) <doi:10.48550/arXiv.1508.05561>, Marcon et al. (2016) <doi:10.1214/16-EJS1162>, Marcon et al. (2017) <doi:10.1002/sta4.145>, Marcon et al. (2017) <doi:10.1016/j.jspi.2016.10.004> and Beranger et al. (2021) <doi:10.1007/s10687-019-00364-0>. This package also allows for the modelling of spatial extremes using flexible max-stable processes. It provides simulation algorithms and fitting procedures relying on the Stephenson-Tawn likelihood as per Beranger at al. (2021) <doi:10.1007/s10687-020-00376-1>.
Author: Boris Beranger [aut], Simone Padoan [cre, aut], Giulia Marcon [aut], Steven G. Johnson [ctb] , Rudolf Schuerer [ctb] , Brian Gough [ctb] , Alec G. Stephenson [ctb], Anne Sabourin [ctb] , Philippe Naveau [ctb]
Maintainer: Simone Padoan <simone.padoan@unibocconi.it>

Diff between ExtremalDep versions 0.0.4-3 dated 2024-12-12 and 0.0.4-4 dated 2024-12-18

 DESCRIPTION        |    8 ++++----
 MD5                |    8 ++++----
 NAMESPACE          |    2 +-
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 R/plot_ExpDep.np.R |    2 ++
 5 files changed, 13 insertions(+), 10 deletions(-)

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New package catalytic with initial version 0.1.0
Package: catalytic
Title: Tools for Applying Catalytic Priors in Statistical Modeling
Version: 0.1.0
Description: To improve estimation accuracy and stability in statistical modeling, catalytic prior distributions are employed, integrating observed data with synthetic data generated from a simpler model's predictive distribution. This approach enhances model robustness, stability, and flexibility in complex data scenarios. The catalytic prior distributions are introduced by 'Huang et al.' (2020, <doi:10.1073/pnas.1920913117>), Li and Huang (2023, <doi:10.48550/arXiv.2312.01411>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: coda, invgamma, rlang, rstan, stats, truncnorm, MASS, lme4, quadform, survival, methods
Depends: R (>= 3.5.0)
LazyData: true
Suggests: knitr, rmarkdown, testthat, pROC
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-17 08:57:19 UTC; rosewu
Author: Yitong Wu [aut] , Dongming Huang [aut, cre] , Weihao Li [aut], Ministry of Education, Singapore [fnd] .)
Maintainer: Dongming Huang <huang.dongming@nus.edu.sg>
Repository: CRAN
Date/Publication: 2024-12-18 16:10:02 UTC

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New package BAREB with initial version 0.1.2
Package: BAREB
Title: A Bayesian Repulsive Biclustering Model for Periodontal Data
Version: 0.1.2
Description: Simultaneously clusters the Periodontal diseases (PD) patients and their tooth sites after taking the patient- and site-level covariates into consideration. 'BAREB' uses the determinantal point process (DPP) prior to induce diversity among different biclusters to facilitate parsimony and interpretability. Essentially, 'BAREB' is a cluster-wise linear model based on Yuliang (2020) <doi:10.1002/sim.8536>.
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
NeedsCompilation: yes
Depends: R (>= 3.5.0)
Repository: CRAN
Packaged: 2024-12-18 01:27:43 UTC; kevin_liu
Author: Yuliang Li [aut], Yanxun Xu [aut], Dipankar Bandyopadhyay [aut], John Burkardt [ctb], Qingyang Liu [aut, cre]
Maintainer: Qingyang Liu <rh8liuqy@gmail.com>
Date/Publication: 2024-12-18 16:10:08 UTC

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Package tidygam updated to version 1.0.0 with previous version 0.2.2 dated 2024-12-07

Title: Tidy Prediction and Plotting of Generalised Additive Models
Description: Provides functions that compute predictions from Generalised Additive Models (GAMs) fitted with 'mgcv' and return them as a tibble. These can be plotted with a generic plot()-method that uses 'ggplot2' or plotted as any other data frame. The main function is predict_gam().
Author: Stefano Coretta [aut, cre]
Maintainer: Stefano Coretta <stefano.coretta@gmail.com>

Diff between tidygam versions 0.2.2 dated 2024-12-07 and 1.0.0 dated 2024-12-18

 DESCRIPTION               |    8 
 MD5                       |   16 -
 NEWS.md                   |   19 ++
 R/predict.R               |   29 ---
 README.md                 |    7 
 inst/doc/get-started.R    |   24 ++
 inst/doc/get-started.Rmd  |   31 ++-
 inst/doc/get-started.html |  430 +++++++++++++++++++++++++---------------------
 vignettes/get-started.Rmd |   31 ++-
 9 files changed, 349 insertions(+), 246 deletions(-)

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New package tatooheene with initial version 0.19.0
Package: tatooheene
Title: Technology Appraisal Toolbox for Health Economic Evaluations in the Netherlands
Version: 0.19.0
Description: Functions to support economic modelling in R based on the methods of the Dutch guideline for economic evaluations in healthcare <https://www.zorginstituutnederland.nl/publicaties/publicatie/2024/01/16/richtlijn-voor-het-uitvoeren-van-economische-evaluaties-in-de-gezondheidszorg>, CBS data <https://www.cbs.nl/>, and OECD data <https://www.oecd.org/en.html>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Imports: dplyr (>= 1.1.4), assertthat (>= 0.2.1), tidyr (>= 1.3.0), stats
Suggests: cbsodataR, lubridate, here, testthat
NeedsCompilation: no
Packaged: 2024-12-17 16:45:33 UTC; 85304spe
Author: Frederick Thielen [aut] , Stijn Peeters [aut, cre]
Maintainer: Stijn Peeters <s.b.peeters@eshpm.eur.nl>
Repository: CRAN
Date/Publication: 2024-12-18 15:50:06 UTC

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New package stepSplitReg with initial version 1.0.4
Package: stepSplitReg
Title: Stepwise Split Regularized Regression
Version: 1.0.4
Date: 2024-12-16
Description: Functions to perform stepwise split regularized regression. The approach first uses a stepwise algorithm to split the variables into the models with a goodness of fit criterion, and then regularization is applied to each model. The weights of the models in the ensemble are determined based on a criterion selected by the user.
License: GPL (>= 2)
Biarch: true
Imports: Rcpp (>= 1.0.7), SplitGLM, nnls
Suggests: testthat, mvnfast, vctrs
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2024-12-17 03:35:48 UTC; anthony
Author: Anthony Christidis [aut, cre], Stefan Van Aelst [aut], Ruben Zamar [aut]
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Repository: CRAN
Date/Publication: 2024-12-18 15:20:02 UTC

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New package splineCox with initial version 0.0.1
Package: splineCox
Title: A Two-Stage Estimation Approach to Cox Regression Using M-Spline Function
Version: 0.0.1
Maintainer: Ren Teranishi <ren.teranishi1227@gmail.com>
Description: Implements a two-stage estimation approach for Cox regression using five-parameter M-spline functions to model the baseline hazard. It allows for flexible hazard shapes and model selection based on log-likelihood criteria.
License: GPL (>= 3)
Encoding: UTF-8
Imports: joint.Cox
Suggests: knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2024-12-17 23:10:49 UTC; a223ms012t
Author: Ren Teranishi [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-18 16:00:02 UTC

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New package spanishoddata with initial version 0.1.0
Package: spanishoddata
Title: Get Spanish Origin-Destination Data
Version: 0.1.0
Description: Gain seamless access to origin-destination (OD) data from the Spanish Ministry of Transport, hosted at <https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad>. This package simplifies the management of these large datasets by providing tools to download zone boundaries, handle associated origin-destination data, and process it efficiently with the 'duckdb' database interface. Local caching minimizes repeated downloads, streamlining workflows for researchers and analysts. Extensive documentation is available at <https://ropenspain.github.io/spanishoddata/index.html>, offering guides on creating static and dynamic mobility flow visualizations and transforming large datasets into analysis-ready formats.
License: MIT + file LICENSE
URL: https://rOpenSpain.github.io/spanishoddata/, https://github.com/rOpenSpain/spanishoddata
BugReports: https://github.com/rOpenSpain/spanishoddata/issues
Depends: R (>= 3.5.0)
Imports: checkmate, curl (>= 5.0.0), DBI, dplyr, duckdb (>= 0.5.0), fs, glue, here, httr2, lubridate, memuse, parallelly, purrr, readr, rlang, sf, stats, stringr, tibble, xml2
Suggests: flowmapblue, flowmapper (>= 0.1.2), furrr, future, hexSticker, mapSpain, quarto, remotes, scales, testthat (>= 3.0.0), tidyverse
VignetteBuilder: quarto
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-17 11:48:19 UTC; ek
Author: Egor Kotov [aut, cre] , Robin Lovelace [aut] , Eugeni Vidal-Tortosa [ctb]
Maintainer: Egor Kotov <kotov.egor@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-18 15:40:02 UTC

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New package shinychat with initial version 0.1.1
Package: shinychat
Title: Chat UI Component for 'shiny'
Version: 0.1.1
Description: Provides a scrolling chat interface with multiline input, suitable for creating chatbot apps based on Large Language Models (LLMs). Designed to work particularly well with the 'elmer' R package for calling LLMs.
License: MIT + file LICENSE
URL: https://github.com/jcheng5/shinychat, https://jcheng5.github.io/shinychat/
BugReports: https://github.com/jcheng5/shinychat/issues
Imports: bslib, coro, htmltools, promises (>= 1.3.2), rlang, shiny (>= 1.10.0)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-17 19:02:58 UTC; jcheng
Author: Joe Cheng [aut, cre], Carson Sievert [aut], Posit Software, PBC [cph, fnd]
Maintainer: Joe Cheng <joe@posit.co>
Repository: CRAN
Date/Publication: 2024-12-18 15:50:10 UTC

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New package PSGD with initial version 1.0.4
Package: PSGD
Title: Projected Subset Gradient Descent
Version: 1.0.4
Date: 2024-12-16
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Description: Functions to generate ensembles of generalized linear models using a greedy projected subset gradient descent algorithm. The sparsity and diversity tuning parameters are selected by cross-validation.
License: GPL (>= 2)
Biarch: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp (>= 1.0.7)
Suggests: testthat, mvnfast, vctrs
NeedsCompilation: yes
Packaged: 2024-12-17 03:09:42 UTC; anthony
Author: Anthony Christidis [aut, cre], Stefan Van Aelst [aut], Ruben Zamar [aut]
Repository: CRAN
Date/Publication: 2024-12-18 15:20:06 UTC

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New package adas.utils with initial version 1.0.0
Package: adas.utils
Title: Design of Experiments and Factorial Plans Utilities
Version: 1.0.0
Description: A number of functions to create and analyze factorial plans according to the Design of Experiments (DoE) approach, with the addition of some utility function to perform some statistical analyses. DoE approach follows the approach in "Design and Analysis of Experiments" by Douglas C. Montgomery (2019, ISBN:978-1-119-49244-3). The package also provides utilities used in the course "Analysis of Data and Statistics" at the University of Trento, Italy.
Depends: R (>= 4.0.0)
License: CC BY 4.0
Encoding: UTF-8
Imports: dplyr, gghalfnorm, ggplot2, glue, grDevices, lubridate, magrittr, purrr, readr, rlang, scales, stats, stringr, tibble, tidyr, utils
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyverse
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-17 12:06:56 UTC; p4010
Author: Paolo Bosetti [aut, cre]
Maintainer: Paolo Bosetti <paolo.bosetti@unitn.it>
Repository: CRAN
Date/Publication: 2024-12-18 15:40:07 UTC

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Package sundialr updated to version 0.1.6.1 with previous version 0.1.6 dated 2024-12-14

Title: An Interface to 'SUNDIALS' Ordinary Differential Equation (ODE) Solvers
Description: Provides a way to call the functions in 'SUNDIALS' C ODE solving library (<https://computing.llnl.gov/projects/sundials>). Currently the serial version of ODE solver, 'CVODE', sensitivity calculator 'CVODES' and differential algebraic solver 'IDA' from the 'SUNDIALS' library are implemented. The package requires ODE to be written as an 'R' or 'Rcpp' function and does not require the 'SUNDIALS' library to be installed on the local machine.
Author: Satyaprakash Nayak [aut, cre, cph] , Lawrence Livermore National Security [cph], Southern Methodist University [cph]
Maintainer: Satyaprakash Nayak <satyaprakash.nayak@gmail.com>

Diff between sundialr versions 0.1.6 dated 2024-12-14 and 0.1.6.1 dated 2024-12-18

 DESCRIPTION                             |    8 ++++----
 MD5                                     |   12 ++++++------
 cleanup                                 |    4 ++--
 inst/doc/my-vignette.html               |    4 ++--
 inst/include/sundials/sundials_config.h |    4 ++--
 src/scripts/sundials_download.sh        |    6 ++++++
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 7 files changed, 33 insertions(+), 17 deletions(-)

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Package nasapower updated to version 4.2.2 with previous version 4.2.1 dated 2024-05-17

Title: NASA POWER API Client
Description: An API client for NASA POWER global meteorology, surface solar energy and climatology data API. POWER (Prediction Of Worldwide Energy Resources) data are freely available for download with varying spatial resolutions dependent on the original data and with several temporal resolutions depending on the POWER parameter and community. This work is funded through the NASA Earth Science Directorate Applied Science Program. For more on the data themselves, the methodologies used in creating, a web- based data viewer and web access, please see <https://power.larc.nasa.gov/>.
Author: Adam H. Sparks [aut, cre] , Scott Chamberlain [rev] , Hazel Kavili [rev] , Alison Boyer [rev] , Fernando Miguez [ctb] , Maelle Salmon [ctb] , Phillip D. Alderman [ctb] ` must use `I` for literal data as of vroom 1.5.0.', see <https://github.com/ropen [...truncated...]
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

Diff between nasapower versions 4.2.1 dated 2024-05-17 and 4.2.2 dated 2024-12-18

 DESCRIPTION                                            |   10 
 MD5                                                    |   72 -
 NEWS.md                                                |   18 
 R/get_power.R                                          |  521 +++++++-------
 R/internal_functions.R                                 |   77 +-
 R/print_POWER_Info.R                                   |   36 
 R/query_groupings.R                                    |   10 
 R/query_parameters.R                                   |   25 
 R/query_surfaces.R                                     |    2 
 R/sysdata.rda                                          |binary
 README.md                                              |  386 ++++++++++
 build/vignette.rds                                     |binary
 inst/CITATION                                          |    9 
 inst/WORDLIST                                          |    1 
 inst/doc/nasapower.Rmd                                 |  132 +--
 inst/doc/nasapower.html                                |  201 ++---
 man/get_power.Rd                                       |   33 
 man/query_groupings.Rd                                 |    2 
 man/query_parameters.Rd                                |   16 
 tests/fixtures/adjusted_air_pressure.json              |    2 
 tests/fixtures/adjusted_wind_elevation.json            |    2 
 tests/fixtures/climatology_ag_point.json               |    2 
 tests/fixtures/daily_ag_point.json                     |    2 
 tests/fixtures/daily_sb_point_LST.json                 |    2 
 tests/fixtures/daily_sb_point_UTC.json                 |    2 
 tests/fixtures/query_groupings.json                    |    2 
 tests/fixtures/query_groupings_global.json             |    2 
 tests/fixtures/query_parameters_comm&temporal_api.json |    2 
 tests/fixtures/query_surfaces_all.json                 |    2 
 tests/fixtures/query_surfaces_seaice.json              |    2 
 tests/spelling.R                                       |   11 
 tests/testthat/test-get_power.R                        |  329 ++++-----
 tests/testthat/test-internal_functions.R               |  615 +++++++++--------
 tests/testthat/test-query_groupings.R                  |    4 
 tests/testthat/test-query_parameters.R                 |   36 
 tests/testthat/test-query_surfaces.R                   |    7 
 vignettes/nasapower.Rmd                                |  132 +--
 37 files changed, 1649 insertions(+), 1058 deletions(-)

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Package iso8601 updated to version 0.1.1 with previous version 0.1.0 dated 2024-12-16

Title: Working with ISO8601 Dates and Times
Description: Functions to parse strings with ISO8601 dates, times, and date-times into R-objects. Additionally, there are functions to determine the type of ISO8601 string and to standardise ISO8601 strings.
Author: Jan van der Laan [aut, cre]
Maintainer: Jan van der Laan <r@eoos.dds.nl>

Diff between iso8601 versions 0.1.0 dated 2024-12-16 and 0.1.1 dated 2024-12-18

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Package ggtangle updated to version 0.0.6 with previous version 0.0.5 dated 2024-11-29

Title: Draw Network with Data
Description: Extends the 'ggplot2' plotting system to support network visualization. Inspired by the 'Method 1' in 'ggtree' (G Yu (2018) <doi:10.1093/molbev/msy194>), 'ggtangle' is designed to work with network associated data.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package GeoFIS updated to version 1.1.1 with previous version 1.1.0 dated 2024-09-03

Title: Spatial Data Processing for Decision Making
Description: Methods for processing spatial data for decision-making. This package is an R implementation of methods provided by the open source software GeoFIS <https://www.geofis.org> (Leroux et al. 2018) <doi:10.3390/agriculture8060073>. The main functionalities are the management zone delineation (Pedroso et al. 2010) <doi:10.1016/j.compag.2009.10.007> and data aggregation (Mora-Herrera et al. 2020) <doi:10.1016/j.compag.2020.105624>.
Author: Serge Guillaume [aut], Jean-Luc Lablee [aut, cre], INRAE [cph]
Maintainer: Jean-Luc Lablee <jean-luc.lablee@inrae.fr>

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Package mbbefd updated to version 0.8.13 with previous version 0.8.12 dated 2024-10-17

Title: Maxwell Boltzmann Bose Einstein Fermi Dirac Distribution and Destruction Rate Modelling
Description: Distributions that are typically used for exposure rating in general insurance, in particular to price reinsurance contracts. The vignette shows code snippets to fit the distribution to empirical data. See, e.g., Bernegger (1997) <doi:10.2143/AST.27.1.563208> freely available on-line.
Author: Christophe Dutang [aut, cre] , Giorgio Spedicato [aut] , Markus Gesmann [ctb]
Maintainer: Christophe Dutang <dutangc@gmail.com>

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Package salad updated to version 1.2 with previous version 1.1 dated 2024-11-04

Title: Simple Automatic Differentiation
Description: Handles both vector and matrices, using a flexible S4 class for automatic differentiation. The method used is forward automatic differentiation. Many functions and methods have been defined, so that in most cases, functions written without automatic differentiation in mind can be used without change.
Author: Herve Perdry [aut, cre]
Maintainer: Herve Perdry <herve.perdry@universite-paris-saclay.fr>

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Package resmush updated to version 0.2.1 with previous version 0.2.0 dated 2024-07-19

Title: Optimize and Compress Image Files with 'reSmush.it'
Description: Compress local and online images using the 'reSmush.it' API service <https://resmush.it/>.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package this.path updated to version 2.6.0 with previous version 2.5.0 dated 2024-06-29

Title: Get Executing Script's Path
Description: Determine the path of the executing script. Compatible with several popular GUIs: 'Rgui', 'RStudio', 'Positron', 'VSCode', 'Jupyter', 'Emacs', and 'Rscript' (shell). Compatible with several functions and packages: 'source()', 'sys.source()', 'debugSource()' in 'RStudio', 'compiler::loadcmp()', 'utils::Sweave()', 'box::use()', 'knitr::knit()', 'plumber::plumb()', 'shiny::runApp()', 'package:targets', and 'testthat::source_file()'.
Author: Iris Simmons [aut, cre]
Maintainer: Iris Simmons <ikwsimmo@gmail.com>

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Package nhdplusTools updated to version 1.3.0 with previous version 1.2.1 dated 2024-06-05

Title: NHDPlus Tools
Description: Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.
Author: David Blodgett [aut, cre] , Mike Johnson [aut] , Marc Weber [ctb] , Josh Erickson [ctb], Lauren Koenig [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package eyetools updated to version 0.8.0 with previous version 0.7.2 dated 2024-10-28

Title: Analyse Eye Data
Description: Enables the automation of actions across the pipeline, including initial steps of transforming binocular data and gap repair to event-based processing such as fixations, saccades, and entry/duration in Areas of Interest (AOIs). It also offers visualisation of eye movement and AOI entries. These tools take relatively raw (trial, time, x, and y form) data and can be used to return fixations, saccades, and AOI entries and time spent in AOIs. As the tools rely on this basic data format, the functions can work with data from any eye tracking device. Implements fixation and saccade detection using methods proposed by Salvucci and Goldberg (2000) <doi:10.1145/355017.355028>.
Author: Tom Beesley [aut, cre], Matthew Ivory [aut]
Maintainer: Tom Beesley <t.beesley@lancaster.ac.uk>

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New package elrm with initial version 1.2.6
Package: elrm
Version: 1.2.6
Date: 2024-12-17
Title: Exact Logistic Regression via MCMC
Author: David Zamar [aut, cre], Jinko Graham [aut], Brad McNeney [aut]
Maintainer: David Zamar <zamar.david@gmail.com>
Depends: R(>= 2.7.2), coda, graphics, stats
Description: Implements a Markov Chain Monte Carlo algorithm to approximate exact conditional inference for logistic regression models. Exact conditional inference is based on the distribution of the sufficient statistics for the parameters of interest given the sufficient statistics for the remaining nuisance parameters. Using model formula notation, users specify a logistic model and model terms of interest for exact inference. See Zamar et al. (2007) <doi:10.18637/jss.v021.i03> for more details.
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: yes
Packaged: 2024-12-18 06:37:09 UTC; zamar
Date/Publication: 2024-12-18 08:00:07 UTC

More information about elrm at CRAN
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Package dfadjust updated to version 1.1.0 with previous version 1.0.5 dated 2023-10-04

Title: Degrees of Freedom Adjustment for Robust Standard Errors
Description: Computes small-sample degrees of freedom adjustment for heteroskedasticity robust standard errors, and for clustered standard errors in linear regression. See Imbens and Kolesár (2016) <doi:10.1162/REST_a_00552> for a discussion of these adjustments.
Author: Michal Kolesar [aut, cre, cph] , Kranz Sebastian [ctb]
Maintainer: Michal Kolesar <kolesarmi@googlemail.com>

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New package datacutr with initial version 0.2.1
Package: datacutr
Title: SDTM Datacut
Version: 0.2.1
Description: Supports the process of applying a cut to Standard Data Tabulation Model (SDTM), as part of the analysis of specific points in time of the data, normally as part of investigation into clinical trials. The functions support different approaches of cutting to the different domains of SDTM normally observed.
License: Apache License (>= 2)
BugReports: https://github.com/pharmaverse/datacutr/issues
URL: https://pharmaverse.github.io/datacutr/, https://github.com/pharmaverse/datacutr
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1)
Imports: admiraldev (>= 0.3.0), assertthat (>= 0.2.1), dplyr (>= 1.0.5), lubridate (>= 1.7.4), magrittr (>= 1.5), purrr (>= 0.3.3), stringr (>= 1.4.0), rlang (>= 0.4.4), tibble (>= 3.0.0), reactable (>= 0.4.4)
Suggests: devtools, lintr, pkgdown, testthat, knitr, methods, rmarkdown, roxygen2, spelling, styler, usethis, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-17 15:12:35 UTC; barnett1
Author: Tim Barnett [cph, aut, cre], Nathan Rees [aut], Alana Harris [aut], Cara Andrews [aut]
Maintainer: Tim Barnett <timothy.barnett@roche.com>
Repository: CRAN
Date/Publication: 2024-12-18 08:00:15 UTC

More information about datacutr at CRAN
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Package ggmapinset updated to version 0.4.0 with previous version 0.3.0 dated 2023-04-28

Title: Add Inset Panels to Maps
Description: Helper to add insets based on geom_sf() from 'ggplot2'. This package gives you a drop-in replacement for geom_sf() that supports adding a zoomed inset map without having to create and embed a separate plot.
Author: Carl Suster [aut, cre] , Western Sydney Local Health District, NSW Health [cph]
Maintainer: Carl Suster <Carl.Suster@health.nsw.gov.au>

Diff between ggmapinset versions 0.3.0 dated 2023-04-28 and 0.4.0 dated 2024-12-18

 DESCRIPTION                      |   15 +-
 LICENSE                          |    2 
 MD5                              |   62 +++++----
 NAMESPACE                        |   19 ++
 NEWS.md                          |    9 +
 R/configure_inset.R              |  174 +++++++++++++++-----------
 R/data.R                         |only
 R/geom_inset_frame.R             |  154 +++++++++--------------
 R/geom_sf_inset.R                |   87 ++++++++-----
 R/geom_sf_text_inset.R           |   56 ++++----
 R/ggmapinset-package.R           |    1 
 R/inset.R                        |   28 ++--
 R/inset_shape_circle.R           |only
 R/inset_shape_rectangle.R        |only
 R/inset_shape_sf.R               |only
 R/layer_helpers.R                |   53 ++++----
 R/stat_sf_coordinates_inset.R    |   45 +++---
 R/stat_sf_inset.R                |   22 ---
 R/transform_to_inset.R           |    6 
 README.md                        |   83 ++++++++++--
 build/vignette.rds               |binary
 data                             |only
 inst/COPYRIGHTS                  |only
 inst/doc/ggmapinset.R            |  143 +++++++++++++++++++--
 inst/doc/ggmapinset.Rmd          |  186 ++++++++++++++++++++++++++--
 inst/doc/ggmapinset.html         |  256 ++++++++++++++++++++++++++++++++-------
 man/build_sf_inset_layers.Rd     |   83 +++---------
 man/configure_inset.Rd           |   36 ++---
 man/figures/README-example-1.png |binary
 man/geom_inset_frame.Rd          |   25 +++
 man/geom_sf_inset.Rd             |   65 +--------
 man/mozzies_nsw2301.Rd           |only
 man/shape_circle.Rd              |only
 man/shape_rectangle.Rd           |only
 man/shape_sf.Rd                  |only
 man/stat_sf_coordinates_inset.Rd |   66 +++++++---
 vignettes/ggmapinset.Rmd         |  186 ++++++++++++++++++++++++++--
 37 files changed, 1283 insertions(+), 579 deletions(-)

More information about ggmapinset at CRAN
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Package ivdesc (with last version 1.1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2022-12-18 1.1.1
2021-03-20 1.1.0
2019-10-14 1.0.0

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