Tue, 17 Jan 2023

Package NetSimR updated to version 0.1.2 with previous version 0.1.1 dated 2021-04-21

Title: Actuarial Functions for Non-Life Insurance Modelling
Description: Assists actuaries and other insurance modellers in pricing, reserving and capital modelling for non-life insurance and reinsurance modelling. Provides functions that help model excess levels, capping and pure Incurred but not reported claims (pure IBNR). Includes capped mean, exposure curves and increased limit factor curves (ILFs) for LogNormal, Gamma, Pareto, Sliced LogNormal-Pareto and Sliced Gamma-Pareto distributions. Includes mean, probability density function (pdf), cumulative probability function (cdf) and inverse cumulative probability function for Sliced LogNormal-Pareto and Sliced Gamma-Pareto distributions. Includes calculating pure IBNR exposure with LogNormal and Gamma distribution for reporting delay. Includes a shiny tool to simulate insurance claims.
Author: Yiannis Parizas [aut, cre]
Maintainer: Yiannis Parizas <yiannis.parizas@gmail.com>

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Package conjurer updated to version 1.7.0 with previous version 1.6.0 dated 2023-01-11

Title: A Parametric Method for Generating Synthetic Data
Description: Generates synthetic data distributions to enable testing various modelling techniques in ways that real data does not allow. Noise can be added in a controlled manner such that the data seems real. This methodology is generic and therefore benefits both the academic and industrial research.
Author: Sidharth Macherla [aut, cre]
Maintainer: Sidharth Macherla <msidharthrasik@gmail.com>

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Package sharp updated to version 1.3.0 with previous version 1.2.1 dated 2022-12-09

Title: Stability-enHanced Approaches using Resampling Procedures
Description: In stability selection (N Meinshausen, P Bühlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x>) and consensus clustering (S Monti et al (2003) <doi:10.1023/A:1023949509487>), resampling techniques are used to enhance the reliability of the results. In this package, hyper-parameters are calibrated by maximising model stability, which is measured by the negative log-likelihood under the null hypothesis that all selection (or co-membership) probabilities are identical (B Bodinier et al (2021) <arXiv:2106.02521>). Functions are readily implemented for the use of LASSO regression, sparse PCA, sparse (group) PLS or graphical LASSO in stability selection, and hierarchical clustering, partitioning around medoids, K means or Gaussian mixture models in consensus clustering.
Author: Barbara Bodinier [aut, cre]
Maintainer: Barbara Bodinier <b.bodinier@imperial.ac.uk>

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Package rlibkriging updated to version 0.7-4.1 with previous version 0.7-4 dated 2023-01-14

Title: Kriging Models using the 'libKriging' Library
Description: Interface to 'libKriging' 'C++' library <https://github.com/libKriging> that should provide most standard Kriging / Gaussian process regression features (like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages). 'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, and 'lbfgsb_cpp' is a 'C++' wrapper by Colin Fang around 'lbfgsb' library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.
Author: Pascal Have [aut], Yann Richet [aut, cre] , Yves Deville [aut], Conrad Sanderson [ctb], Colin Fang [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Jorge Nocedal [ctb], Jose Luis Morales [ctb]
Maintainer: Yann Richet <yann.richet@irsn.fr>

Diff between rlibkriging versions 0.7-4 dated 2023-01-14 and 0.7-4.1 dated 2023-01-17

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New package parfm with initial version 2.7.7
Package: parfm
Title: Parametric Frailty Models
Version: 2.7.7
Description: Fits Parametric Frailty Models by maximum marginal likelihood. Possible baseline hazards: exponential, Weibull, inverse Weibull (Fréchet), Gompertz, lognormal, log-skew-normal, and loglogistic. Possible Frailty distributions: gamma, positive stable, inverse Gaussian and lognormal.
License: GPL-2
LazyLoad: yes
Depends: R (>= 2.10), survival, optimx
Imports: msm, graphics, sn
Encoding: UTF-8
NeedsCompilation: no
Author: Federico Rotolo [aut, cre], Marco Munda [aut], Andrea Callegaro [ctb]
Maintainer: Federico Rotolo <federico.rotolo@sanofi.com>
Packaged: 2023-01-17 14:28:01 UTC; E0492269
Repository: CRAN
Date/Publication: 2023-01-17 22:40:02 UTC

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Package formatR updated to version 1.14 with previous version 1.13 dated 2022-12-22

Title: Format R Code Automatically
Description: Provides a function tidy_source() to format R source code. Spaces and indent will be added to the code automatically, and comments will be preserved under certain conditions, so that R code will be more human-readable and tidy. There is also a Shiny app as a user interface in this package (see tidy_app()).
Author: Yihui Xie [aut, cre] , Ed Lee [ctb], Eugene Ha [ctb], Kohske Takahashi [ctb], Pavel Krivitsky [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between formatR versions 1.13 dated 2022-12-22 and 1.14 dated 2023-01-17

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Package deepregression updated to version 1.0.0 with previous version 0.3.1 dated 2022-11-24

Title: Fitting Deep Distributional Regression
Description: Allows for the specification of semi-structured deep distributional regression models which are fitted in a neural network as proposed by Ruegamer et al. (2023) <doi:10.18637/jss.v105.i02>. Predictors can be modeled using structured (penalized) linear effects, structured non-linear effects or using an unstructured deep network model.
Author: David Ruegamer [aut, cre], Florian Pfisterer [ctb], Philipp Baumann [ctb], Chris Kolb [ctb], Lucas Kook [ctb]
Maintainer: David Ruegamer <david.ruegamer@gmail.com>

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Package DT updated to version 0.27 with previous version 0.26 dated 2022-10-18

Title: A Wrapper of the JavaScript Library 'DataTables'
Description: Data objects in R can be rendered as HTML tables using the JavaScript library 'DataTables' (typically via R Markdown or Shiny). The 'DataTables' library has been included in this R package. The package name 'DT' is an abbreviation of 'DataTables'.
Author: Yihui Xie [aut, cre], Joe Cheng [aut], Xianying Tan [aut], JJ Allaire [ctb], Maximilian Girlich [ctb], Greg Freedman Ellis [ctb], Johannes Rauh [ctb], SpryMedia Limited [ctb, cph] , Brian Reavis [ctb, cph] , Leon Gersen [ctb, cph] , Bartek Szopka [ct [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package bookdown updated to version 0.32 with previous version 0.31 dated 2022-12-13

Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie [aut, cre] , JJ Allaire [ctb], Albert Kim [ctb], Alessandro Samuel-Rosa [ctb], Andrzej Oles [ctb], Atsushi Yasumoto [ctb] , Aust Frederik [ctb] , Bastiaan Quast [ctb], Ben Marwick [ctb], Chester Ismay [ctb], Christophe Dervieux [ctb], Clift [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package evaluate updated to version 0.20 with previous version 0.19 dated 2022-12-13

Title: Parsing and Evaluation Tools that Provide More Details than the Default
Description: Parsing and evaluation tools that make it easy to recreate the command line behaviour of R.
Author: Hadley Wickham [aut], Yihui Xie [aut, cre] , Michael Lawrence [ctb], Thomas Kluyver [ctb], Jeroen Ooms [ctb], Barret Schloerke [ctb], Adam Ryczkowski [ctb], Hiroaki Yutani [ctb], Michel Lang [ctb], Karolis Koncevičius [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package devEMF updated to version 4.2 with previous version 4.1-2 dated 2022-12-20

Title: EMF Graphics Output Device
Description: Output graphics to EMF+/EMF.
Author: Philip Johnson
Maintainer: Philip Johnson <plfj@umd.edu>

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Package refund updated to version 0.1-29 with previous version 0.1-28 dated 2022-10-06

Title: Regression with Functional Data
Description: Methods for regression for functional data, including function-on-scalar, scalar-on-function, and function-on-function regression. Some of the functions are applicable to image data.
Author: Jeff Goldsmith [aut], Fabian Scheipl [aut], Lei Huang [aut], Julia Wrobel [aut, cre], Chongzhi Di [aut], Jonathan Gellar [aut], Jaroslaw Harezlak [aut], Mathew W. McLean [aut], Bruce Swihart [aut], Luo Xiao [aut], Ciprian Crainiceanu [aut], Philip T. [...truncated...]
Maintainer: Julia Wrobel <julia.wrobel@cuanschutz.edu>

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Package promor updated to version 0.2.0 with previous version 0.1.1 dated 2022-11-01

Title: Proteomics Data Analysis and Modeling Tools
Description: A comprehensive, user-friendly package for label-free proteomics data analysis and machine learning-based modeling. Data generated from 'MaxQuant' can be easily used to conduct differential expression analysis, build predictive models with top protein candidates, and assess model performance. promor includes a suite of tools for quality control, visualization, missing data imputation (Lazar et. al. (2016) <doi:10.1021/acs.jproteome.5b00981>), differential expression analysis (Ritchie et. al. (2015) <doi:10.1093/nar/gkv007>), and machine learning-based modeling (Kuhn (2008) <doi:10.18637/jss.v028.i05>).
Author: Chathurani Ranathunge [aut, cre, cph]
Maintainer: Chathurani Ranathunge <caranathunge86@gmail.com>

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Package metaconfoundr updated to version 0.1.2 with previous version 0.1.1 dated 2022-08-06

Title: Visualize 'Confounder' Control in Meta-Analyses
Description: Visualize 'confounder' control in meta-analysis. 'metaconfoundr' is an approach to evaluating bias in studies used in meta-analyses based on the causal inference framework. Study groups create a causal diagram displaying their assumptions about the scientific question. From this, they develop a list of important 'confounders'. Then, they evaluate whether studies controlled for these variables well. 'metaconfoundr' is a toolkit to facilitate this process and visualize the results as heat maps, traffic light plots, and more.
Author: Malcolm Barrett [aut, cre] , Julie M. Petersen [aut] , Ludovic Trinquart [aut]
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>

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 tests/testthat/_snaps/plots/themed-heatmap.svg                             |  642 +++----
 19 files changed, 2624 insertions(+), 2603 deletions(-)

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Package tuneR updated to version 1.4.2 with previous version 1.4.1 dated 2022-10-20

Title: Analysis of Music and Speech
Description: Analyze music and speech, extract features like MFCCs, handle wave files and their representation in various ways, read mp3, read midi, perform steps of a transcription, ... Also contains functions ported from the 'rastamat' 'Matlab' package.
Author: Uwe Ligges [aut, cre, cph] , Sebastian Krey [aut, cph], Olaf Mersmann [aut, cph], Sarah Schnackenberg [aut, cph], Guillaume Guenard [aut, cph] , Daniel P. W. Ellis [aut, cph] , Underbit Technologies [aut, cph] , Andrea Preusser [ctb], Anita Thieler [ [...truncated...]
Maintainer: Uwe Ligges <ligges@statistik.tu-dortmund.de>

Diff between tuneR versions 1.4.1 dated 2022-10-20 and 1.4.2 dated 2023-01-17

 DESCRIPTION   |    8 -
 MD5           |   10 +-
 R/readWave.R  |    1 
 inst/CITATION |    4 
 src/timer.c   |  284 +++++++++++++++++++++++++++++-----------------------------
 src/timer.h   |    4 
 6 files changed, 157 insertions(+), 154 deletions(-)

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New package survAH with initial version 1.0.0
Package: survAH
Title: Survival Data Analysis using Average Hazard
Version: 1.0.0
Date: 2023-01-16
Description: Performs two-sample comparisons based on average hazard with survival weight (AHSW) or general censoring-free incidence rate (CFIR) proposed by Uno and Horiguchi (2023) <doi:10.1002/sim.9651>.
License: GPL-2
Depends: survival, R (>= 2.10)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-16 22:31:18 UTC; miki
Author: Hajime Uno [aut] , Miki Horiguchi [aut, cre]
Maintainer: Miki Horiguchi <horiguchimiki@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-17 17:30:02 UTC

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New package rdss with initial version 1.0.0
Package: rdss
Title: Companion Datasets and Functions for Research Design in the Social Sciences
Version: 1.0.0
Description: Helper functions to accompany the Blair, Coppock, and Humphreys (2022) "Research Design in the Social Sciences: Declaration, Diagnosis, and Redesign" <https://book.declaredesign.org>. 'rdss' includes datasets, helper functions, and plotting components to enable use and replication of the book.
Imports: dplyr, rlang (>= 1.0.0), generics, ggplot2, tibble, tidyr, dataverse, readr, prediction, broom, purrr, estimatr, randomizr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), rdrobust, DIDmultiplegt, broom.mixed, grf, CausalQueries, metafor, cjoint, lme4, rstanarm, spdep, DeclareDesign
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-01-17 01:43:01 UTC; gblair
Author: Graeme Blair [aut, cre] , Alexander Coppock [aut] , Macartan Humphreys [aut]
Maintainer: Graeme Blair <graeme.blair@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-17 17:40:02 UTC

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Package Rage updated to version 1.3.0 with previous version 1.2.0 dated 2021-10-15

Title: Life History Metrics from Matrix Population Models
Description: Functions for calculating life history metrics using matrix population models ('MPMs'). Described in Jones et al. (2021) <doi:10.1101/2021.04.26.441330>.
Author: Patrick Barks [aut] , Danny Buss [ctb], Pol Capdevila [aut] , Hal Caswell [aut] , Judy P. Che-Castaldo [aut] , John Jackson [aut] , Tamora James [aut] , Owen Jones [aut, cre] , Sam Levin [aut] , William K. Petry [aut] , Roberto Salguero-Gomez [aut] , [...truncated...]
Maintainer: Owen Jones <jones@biology.sdu.dk>

Diff between Rage versions 1.2.0 dated 2021-10-15 and 1.3.0 dated 2023-01-17

 DESCRIPTION                               |  105 -
 MD5                                       |  198 +--
 NEWS.md                                   |    6 
 R/data.R                                  |    4 
 R/entropy_d.R                             |   38 
 R/entropy_k.R                             |   40 
 R/gen_time.R                              |  114 +
 R/life_expect.R                           |  114 -
 R/lifetable_convert.R                     |   30 
 R/longevity.R                             |   44 
 R/mature_.R                               |   64 -
 R/mpm_collapse.R                          |   92 -
 R/mpm_to_.R                               |   84 -
 R/mpm_to_table.R                          |   18 
 R/name_stages.R                           |   26 
 R/net_repro_rate.R                        |   51 
 R/perturb_matrix.R                        |   67 -
 R/perturb_stochastic.R                    |   75 -
 R/perturb_trans.R                         |  126 +-
 R/perturb_vr.R                            |  166 +-
 R/plot_life_cycle.R                       |   90 -
 R/pop_vectors.R                           |   34 
 R/qsd_converge.R                          |   93 -
 R/repro_stages.R                          |   40 
 R/shape_surv.R                            |   48 
 R/standard_stages.R                       |   86 -
 R/utils.R                                 |  103 -
 R/vital_rates.R                           |  169 +-
 R/vr.R                                    |  167 +-
 R/vr_mat.R                                |   68 -
 R/vr_vec.R                                |  202 +--
 build/vignette.rds                        |binary
 inst/WORDLIST                             |    3 
 inst/doc/a01_GettingStarted.html          | 1884 +++++++++++++++++++++++++++---
 inst/doc/a02_VitalRates.html              |  476 ++++++-
 inst/doc/a03_LifeHistoryTraits.Rmd        |    9 
 inst/doc/a03_LifeHistoryTraits.html       |  532 ++++++--
 inst/doc/a04_AgeFromStage.Rmd             |    2 
 inst/doc/a04_AgeFromStage.html            |  425 +++++-
 inst/doc/a05_SuggestedQualityControl.html |  416 +++++-
 man/age_from_stage.Rd                     |    6 
 man/entropy_k.Rd                          |    8 
 man/gen_time.Rd                           |   52 
 man/life_expect.Rd                        |    4 
 man/longevity.Rd                          |    4 
 man/mpm_collapse.Rd                       |   28 
 man/mpm_to_table.Rd                       |    6 
 man/name_stages.Rd                        |    9 
 man/net_repro_rate.Rd                     |    6 
 man/perturb_matrix.Rd                     |   26 
 man/perturb_stochastic.Rd                 |    6 
 man/perturb_trans.Rd                      |   36 
 man/perturb_vr.Rd                         |   32 
 man/plot_life_cycle.Rd                    |   14 
 man/qsd_converge.Rd                       |    4 
 man/repro_stages.Rd                       |   20 
 man/shape_surv.Rd                         |   24 
 man/standard_stages.Rd                    |   40 
 man/vital_rates.Rd                        |   44 
 man/vr.Rd                                 |   40 
 man/vr_mat.Rd                             |   20 
 man/vr_vec.Rd                             |   48 
 tests/spelling.R                          |    9 
 tests/testthat/helper-matrices.R          |  190 +--
 tests/testthat/test-checkValidMat.R       |   28 
 tests/testthat/test-checkValidStartLife.R |   11 
 tests/testthat/test-entropy_d.R           |   10 
 tests/testthat/test-entropy_k.R           |    8 
 tests/testthat/test-gen_time.R            |   26 
 tests/testthat/test-life_expect.R         |    6 
 tests/testthat/test-lifetable_convert.R   |    7 
 tests/testthat/test-longevity.R           |    2 
 tests/testthat/test-mature_.R             |   43 
 tests/testthat/test-mature_distrib.R      |   20 
 tests/testthat/test-meanMat.R             |   17 
 tests/testthat/test-mpm_collapse.R        |   17 
 tests/testthat/test-mpm_rearrange.R       |   41 
 tests/testthat/test-mpm_split.R           |    7 
 tests/testthat/test-mpm_standardize.R     |   20 
 tests/testthat/test-mpm_to_.R             |   33 
 tests/testthat/test-mpm_to_table.R        |   14 
 tests/testthat/test-name_stages.R         |   24 
 tests/testthat/test-net_repro_rate.R      |    2 
 tests/testthat/test-perturb_matrix.R      |   14 
 tests/testthat/test-perturb_stochastic.R  |   28 
 tests/testthat/test-perturb_trans.R       |   13 
 tests/testthat/test-perturb_vr.R          |   13 
 tests/testthat/test-plot_life_cycle.R     |   15 
 tests/testthat/test-pop_vectors.R         |   24 
 tests/testthat/test-qsd_converge.R        |   34 
 tests/testthat/test-repro_stages.R        |   12 
 tests/testthat/test-shape_rep.R           |   29 
 tests/testthat/test-shape_surv.R          |   39 
 tests/testthat/test-standard_stages.R     |   46 
 tests/testthat/test-vital_rates.R         |   86 -
 tests/testthat/test-vr.R                  |   65 -
 tests/testthat/test-vr_mat.R              |   43 
 tests/testthat/test-vr_vec.R              |   73 -
 vignettes/a03_LifeHistoryTraits.Rmd       |    9 
 vignettes/a04_AgeFromStage.Rmd            |    2 
 100 files changed, 5491 insertions(+), 2375 deletions(-)

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Package Publish updated to version 2023.01.17 with previous version 2020.12.23 dated 2021-01-05

Title: Format Output of Various Routines in a Suitable Way for Reports and Publication
Description: A bunch of convenience functions that transform the results of some basic statistical analyses into table format nearly ready for publication. This includes descriptive tables, tables of logistic regression and Cox regression results as well as forest plots.
Author: Thomas A. Gerds [aut, cre], Christian Torp-Pedersen [ctb], Klaus K Holst [ctb], Brice Ozenne [aut]
Maintainer: Thomas A. Gerds <tag@biostat.ku.dk>

Diff between Publish versions 2020.12.23 dated 2021-01-05 and 2023.01.17 dated 2023-01-17

 DESCRIPTION                    |    8 ++++----
 MD5                            |   40 ++++++++++++++++++++--------------------
 NAMESPACE                      |    3 +++
 R/getFrequency.R               |    9 +++++----
 R/glmSeries.R                  |    2 +-
 R/plotConfidence.R             |    4 ++--
 R/publish-package.R            |    2 --
 R/publish.matrix.R             |   11 +++++++----
 R/regressionTable.R            |    4 ++--
 R/subgroupAnalysis.R           |   22 ++++++++++------------
 R/summary.univariateTable.R    |   20 ++++++++++++++++----
 R/table2x2.R                   |   20 ++++++++++++--------
 R/univariateTable.R            |   12 ++++++------
 man/Diabetes.Rd                |    3 ---
 man/publish.glm.Rd             |    4 ++--
 man/publish.matrix.Rd          |    3 ++-
 man/subgroupAnalysis.Rd        |   13 +++++++++++--
 man/summary.univariateTable.Rd |    1 +
 man/table2x2.Rd                |    3 +++
 man/univariateTable.Rd         |   10 +++++-----
 tests/test-univariateTable.R   |    8 ++++++--
 21 files changed, 118 insertions(+), 84 deletions(-)

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Package pryr updated to version 0.1.6 with previous version 0.1.5 dated 2021-07-26

Title: Tools for Computing on the Language
Description: Useful tools to pry back the covers of R and understand the language at a deeper level.
Author: Hadley Wickham [aut, cre], R Core team [ctb]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between pryr versions 0.1.5 dated 2021-07-26 and 0.1.6 dated 2023-01-17

 DESCRIPTION   |   23 ++++++++++++-----------
 MD5           |    6 +++---
 README.md     |    3 +++
 src/bytes.cpp |    4 ++--
 4 files changed, 20 insertions(+), 16 deletions(-)

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New package processpredictR with initial version 0.1.0
Package: processpredictR
Title: Process Prediction
Version: 0.1.0
Date: 2022-12-23
Description: Means to predict process flow, such as process outcome, next activity, next time, remaining time, and remaining trace. Off-the-shelf predictive models based on the concept of Transformers are provided, as well as multiple ways to customize the models. This package is partly based on work described in Zaharah A. Bukhsh, Aaqib Saeed, & Remco M. Dijkman. (2021). "ProcessTransformer: Predictive Business Process Monitoring with Transformer Network" <arXiv:2104.00721>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: bupaR, edeaR, dplyr, forcats, magrittr, reticulate, tidyr, tidyselect, purrr, stringr, keras, tensorflow, rlang, data.table, mltools, ggplot2, cli, glue, plotly, progress
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, lubridate, eventdataR
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-15 22:02:43 UTC; lucp8407
Author: Ivan Esin [aut], Gert Janssenswillen [cre], Hasselt University [cph]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>
Repository: CRAN
Date/Publication: 2023-01-17 17:10:01 UTC

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New package pGRN with initial version 0.3.5
Package: pGRN
Title: Single-Cell RNA Sequencing Pseudo-Time Based Gene Regulatory Network Inference
Version: 0.3.5
Author: Gangcai Xie
Maintainer: Gangcai Xie <gcxiester@gmail.com>
Description: Inference and visualize gene regulatory network based on single-cell RNA sequencing pseudo-time information.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr, rmarkdown
Depends: R (>= 2.10),
Imports: bigmemory, doParallel, dtw, foreach, ggplot2, ggraph, igraph, lmtest, proxy, tidygraph, visNetwork, future
Suggests: knitr, webshot, rmarkdown,
NeedsCompilation: no
Packaged: 2023-01-16 14:36:55 UTC; gangcai
Repository: CRAN
Date/Publication: 2023-01-17 17:20:02 UTC

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New package OssaNMA with initial version 0.1.0
Package: OssaNMA
Title: Optimal Sample Size and Allocation with a Network Meta-Analysis
Version: 0.1.0
Description: A system for calculating the minimum total sample size needed to achieve a prespecified power or the optimal allocation for each treatment group with a fixed total sample size to maximize the power.
License: GPL-3
Imports: NlcOptim (>= 0.6), DEoptimR (>= 1.0.11)
Depends: R(>= 3.5.0)
URL: https://github.com/fangshuye/OssaNMA
BugReports: https://github.com/fangshuye/OssaNMA/issues
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, netmeta
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-16 23:19:05 UTC; fangshu
Author: Fangshu Ye [aut, cre]
Maintainer: Fangshu Ye <fye@iastate.edu>
Repository: CRAN
Date/Publication: 2023-01-17 17:30:14 UTC

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New package missCforest with initial version 0.0.8
Package: missCforest
Title: Ensemble Conditional Trees for Missing Data Imputation
Version: 0.0.8
Description: Single imputation based on the Ensemble Conditional Trees (i.e. Cforest algorithm Strobl, C., Boulesteix, A. L., Zeileis, A., & Hothorn, T. (2007) <doi:10.1186/1471-2105-8-25>).
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/ielbadisy/missCforest
BugReports: https://github.com/ielbadisy/missCforest/issues
Depends: partykit
Imports: stats
Suggests: testthat
NeedsCompilation: no
Packaged: 2023-01-16 16:53:57 UTC; elbadisy
Author: Imad El Badisy [aut, cre], Roch Giorgi [ctb]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-17 17:30:05 UTC

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New package mathml with initial version 0.5
Package: mathml
Title: Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax'
Version: 0.5
Date: 2023-01-16
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>
Description: Translate R expressions to 'MathML' or 'MathJax' so that they can be rendered in 'rmarkdown' documents and shiny apps.
License: FreeBSD
Depends: rolog (>= 0.9.10)
Encoding: UTF-8
Suggests: rmarkdown, knitr, testthat
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-01-16 12:54:46 UTC; gondan
Author: Matthias Gondan [aut, cre, cph] , Irene Alfarone [ctb]
Repository: CRAN
Date/Publication: 2023-01-17 17:30:08 UTC

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New package hydflood with initial version 0.5.2
Package: hydflood
Title: Flood Extents and Durations along the Rivers Elbe and Rhine
Version: 0.5.2
Date: 2023-01-13
Description: Raster based flood modelling internally using 'hyd1d', an R package to interpolate 1d water level and gauging data. The package computes flood extent and durations through strategies originally developed for 'INFORM', an 'ArcGIS'-based hydro-ecological modelling framework. It does not provide a full, physical hydraulic modelling algorithm, but a simplified, near real time 'GIS' approach for flood extent and duration modelling. Computationally demanding annual flood durations have been computed already and data products were published by Weber (2022) <doi:10.1594/PANGAEA.948042>.
Depends: R (>= 4.0.0), sf, terra, raster, hyd1d
Imports: stats, Rdpack, grDevices
Suggests: knitr, rmarkdown, devtools, pkgdown, roxygen2, testthat, plot3D, plotrix, shiny, shinyjs, shiny.i18n, leaflet, leaflet.extras, leaflet.esri, pangaear, rgrass, tidyverse, stringr
License: GPL-2
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
BugReports: https://github.com/bafg-bund/hydflood/issues/
URL: https://hydflood.bafg.de, https://github.com/bafg-bund/hydflood
NeedsCompilation: no
Packaged: 2023-01-16 14:41:00 UTC; WeberA
Author: Arnd Weber [aut, cre] , Stephan Rosenzweig [ctb]
Maintainer: Arnd Weber <arnd.weber@bafg.de>
Repository: CRAN
Date/Publication: 2023-01-17 17:20:04 UTC

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New package getspanel with initial version 0.1.2
Package: getspanel
Title: General-to-Specific Modelling of Panel Data
Version: 0.1.2
Date: 2023-01-15
Description: Uses several types of indicator saturation and automated General-to-Specific (GETS) modelling from the 'gets' package and applies it to panel data. This allows the detection of structural breaks in panel data, operationalising a reverse causal approach of causal inference, see Pretis and Schwarz (2022) <doi:10.2139/ssrn.4022745>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/moritzpschwarz/getspanel, http://moritzschwarz.org/getspanel/
BugReports: https://github.com/moritzpschwarz/getspanel/issues
LazyData: true
Suggests: testthat, knitr, rmarkdown, lfe, prettydoc, plm, fixest, lmtest, sandwich
Imports: gets, fastDummies, Matrix, ggplot2, stats, mvtnorm
Depends: R (>= 3.5.0)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-01-15 22:41:57 UTC; morit
Author: Felix Pretis [aut], Moritz Schwarz [aut, cre]
Maintainer: Moritz Schwarz <moritz.schwarz@scmo.eu>
Repository: CRAN
Date/Publication: 2023-01-17 17:20:08 UTC

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New package evoTS with initial version 1.0.0
Package: evoTS
Title: Analyses of Evolutionary Time-Series
Version: 1.0.0
Description: Facilitates univariate and multivariate analysis of evolutionary sequences of phenotypic change. The package extends the modeling framework available in the 'paleoTS' package. Please see <https://klvoje.github.io/evoTS/index.html> for information about the package and the implemented models.
License: GPL (>= 2)
Encoding: UTF-8
Imports: paleoTS (>= 0.4-4), mvtnorm, plotly, pracma, MASS, stats, utils
Maintainer: Kjetil Lysne Voje <k.l.voje@nhm.uio.no>
LazyData: true
Suggests: rmarkdown, knitr
Depends: R (>= 3.5.0)
URL: https://klvoje.github.io/evoTS/index.html
BugReports: https://github.com/klvoje/evoTS/issues
NeedsCompilation: no
Packaged: 2023-01-17 08:43:49 UTC; kjetillv
Author: Kjetil Lysne Voje [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-17 17:40:05 UTC

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New package df2yaml with initial version 0.3.0
Package: df2yaml
Title: Convert Dataframe to 'YAML'
Version: 0.3.0
Maintainer: Yabing Song <songyb0519@gmail.com>
Description: The 'df2yaml' aims to simplify the process of converting 'dataframe' to 'YAML' <https://yaml.org/>. The 'dataframe' with multiple key columns and one value column will be converted to the multi-level hierarchy.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, rrapply, tibble, yaml, magrittr, rlang
Suggests: rmarkdown, prettydoc, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-16 12:24:53 UTC; songyabing
Author: Yabing Song [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-17 17:30:11 UTC

More information about df2yaml at CRAN
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Package vivainsights updated to version 0.2.0 with previous version 0.1.0 dated 2022-10-04

Title: Analyze and Visualize Data from 'Microsoft Viva Insights'
Description: Provides a versatile range of functions, including exploratory data analysis, time-series analysis, and data validation, whilst at the same time implements a set of best practices in analyzing and visualizing data specific to 'Microsoft Viva Insights'.
Author: Martin Chan [aut, cre], Carlos Morales [aut]
Maintainer: Martin Chan <martin.chan@microsoft.com>

Diff between vivainsights versions 0.1.0 dated 2022-10-04 and 0.2.0 dated 2023-01-17

 DESCRIPTION                      |   11 -
 MD5                              |   96 +++++++---
 NAMESPACE                        |   26 ++
 NEWS.md                          |   12 -
 R/check_query.R                  |only
 R/flag_ch_ratio.R                |only
 R/flag_em_ratio.R                |only
 R/flag_extreme.R                 |only
 R/flag_outlooktime.R             |only
 R/generate_report.R              |only
 R/generate_report2.R             |only
 R/globals.R                      |   40 ++++
 R/heat_colours.R                 |    4 
 R/identify_churn.R               |only
 R/identify_datefreq.R            |only
 R/identify_holidayweeks.R        |only
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 R/standardise.R                  |only
 R/supporting_functions.R         |    2 
 R/track_hr_change.R              |only
 R/validation_report.R            |only
 man/anonymise.Rd                 |   86 ++++-----
 man/camel_clean.Rd               |    1 
 man/check_inputs.Rd              |    3 
 man/check_query.Rd               |only
 man/create_rank_combine.Rd       |  100 +++++-----
 man/cut_hour.Rd                  |    1 
 man/extract_date_range.Rd        |    1 
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 man/heat_colours.Rd              |    1 
 man/hr_trend.Rd                  |   17 +
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 man/is_date_format.Rd            |    1 
 man/jitter_metrics.Rd            |   80 ++++----
 man/maxmin.Rd                    |    1 
 man/pq_data.Rd                   |  360 +++++++++++++++++++--------------------
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 man/rgb2hex.Rd                   |    1 
 man/totals_bind.Rd               |    1 
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 man/tstamp.Rd                    |    1 
 man/us_to_space.Rd               |    1 
 man/validation_report.Rd         |only
 man/wrap.Rd                      |    1 
 man/wrap_text.Rd                 |   60 +++---
 68 files changed, 588 insertions(+), 390 deletions(-)

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Package spatialsample updated to version 0.3.0 with previous version 0.2.1 dated 2022-08-05

Title: Spatial Resampling Infrastructure
Description: Functions and classes for spatial resampling to use with the 'rsample' package, such as spatial cross-validation (Brenning, 2012) <doi:10.1109/IGARSS.2012.6352393>. The scope of 'rsample' and 'spatialsample' is to provide the basic building blocks for creating and analyzing resamples of a spatial data set, but neither package includes functions for modeling or computing statistics. The resampled spatial data sets created by 'spatialsample' do not contain much overhead in memory.
Author: Julia Silge [aut] , Michael Mahoney [aut, cre] , RStudio [cph, fnd]
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>

Diff between spatialsample versions 0.2.1 dated 2022-08-05 and 0.3.0 dated 2023-01-17

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New package SLPresElection with initial version 1.0.0
Package: SLPresElection
Title: Presidential Election Data of "Sri Lanka" from 1982 to 2015
Version: 1.0.0
Description: Presidential Election data of "Sri Lanka"" is stored in Pdf files, through Pdf scraping they are converted into data-frames and stored in this R package.
License: MIT + file LICENSE
URL: https://github.com/Amalan-ConStat/SLPresElection, https://amalan-constat.github.io/SLPresElection/index.html
BugReports: https://github.com/Amalan-ConStat/SLPresElection/issues
Depends: R (>= 4.0.0)
Suggests: spelling, testthat
Encoding: UTF-8
Language: en-US
LazyData: TRUE
NeedsCompilation: no
Packaged: 2023-01-15 04:50:13 UTC; amala
Author: Amalan Mahendran [aut, cre]
Maintainer: Amalan Mahendran <amalan0595@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-17 16:40:05 UTC

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New package RSP with initial version 0.1
Package: RSP
Title: 'shiny' Applications for Statistical and Psychometric Analysis
Version: 0.1
Maintainer: Eren Can Aybek <erencan@aybek.net>
Description: Toolbox with 'shiny' applications for widely used psychometric methods. Those methods include following analysis: Item analysis, item response theory calibration, principal component analysis, confirmatory factor analysis - structural equation modeling, generating simulated data. References: Chalmers (2012, <doi:10.18637/jss.v048.i06>); Revelle (2022, <https://CRAN.R-project.org/package=psych Version = 2.2.9.>); Rosseel (2012, <doi:10.18637/jss.v048.i02>); Magis & Raiche (2012, <doi:10.18637/jss.v048.i08>); Magis & Barrada (2017, <doi:10.18637/jss.v076.c01>).
License: GPL-3
Encoding: UTF-8
Imports: DT, GPArotation, MVN, Metrics, ShinyItemAnalysis, catR, foreign, gt, hornpa, igraph, lavaan, mirt, plyr, polycor, psych, rJava, semPlot, shinyBS, shinycustomloader, shinyjs, shinythemes, xlsx, shiny, utils, rstudioapi
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-12 20:17:06 UTC; Eren Can
Author: Celal Deha Dogan [aut] , Eren Can Aybek [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-17 16:50:02 UTC

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New package readmet with initial version 1.6.6
Package: readmet
Title: Read some less Popular Formats Used in Meteorology
Version: 1.6.6
Date: 2023-01-14
Author: Clemens Druee, Universitaet Trier
Maintainer: Clemens Druee <druee@uni-trier.de>
Description: Contains tools for reading and writing data from or to files in dmna, Scintec Format-1, and Campbell Scientific TOA5 formats.
License: GPL-3
NeedsCompilation: no
Packaged: 2023-01-15 16:53:44 UTC; clemens
Repository: CRAN
Date/Publication: 2023-01-17 17:00:12 UTC

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Package GENLIB updated to version 1.1.9 with previous version 1.1.8 dated 2022-12-13

Title: Genealogical Data Analysis
Description: Genealogical data analysis including descriptive statistics (e.g., kinship and inbreeding coefficients) and gene-dropping simulations. See: "GENLIB: an R package for the analysis of genealogical data" Gauvin et al. (2015) <doi:10.1186/s12859-015-0581-5>.
Author: Louis Houde [aut], Jean-Francois Lefebvre [aut], Valery Roy-Lagace [aut], Sebastien Lemieux [aut], Michael J. Fromberger [ctb], Jarno van der Kolk [ctb], Mohan Rakesh [ctb], Marie-Helene Roy-Gagnon [cre]
Maintainer: Marie-Helene Roy-Gagnon <mroygagn@uottawa.ca>

Diff between GENLIB versions 1.1.8 dated 2022-12-13 and 1.1.9 dated 2023-01-17

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New package evreg with initial version 1.0.0
Package: evreg
Title: Evidential Regression
Version: 1.0.0
Date: 2023-01-12
Description: An implementation of the 'Evidential Neural Network for Regression' model recently introduced in Denoeux (2023) <doi:10.36227/techrxiv.21791831.v1>. In this model, prediction uncertainty is quantified by Gaussian random fuzzy numbers as introduced in Denoeux (2023) <doi:10.1016/j.fss.2022.06.004>. The package contains functions for training the network, tuning hyperparameters by cross-validation or the hold-out method, and making predictions. It also contains utilities for making calculations with Gaussian random fuzzy numbers (such as, e.g., computing the degrees of belief and plausibility of an interval, or combining Gaussian random fuzzy numbers).
License: GPL-3
Depends: R (>= 3.1.0)
Imports: evclust,stats
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr,rmarkdown,nnet,MASS,ggplot2
NeedsCompilation: no
Packaged: 2023-01-15 06:19:34 UTC; Thierry
Author: Thierry Denoeux [aut, cre]
Maintainer: Thierry Denoeux <tdenoeux@utc.fr>
Repository: CRAN
Date/Publication: 2023-01-17 16:40:02 UTC

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Package datefixR updated to version 1.4.0 with previous version 1.3.1 dated 2022-10-24

Title: Standardize Dates in Different Formats or with Missing Data
Description: There are many different formats dates are commonly represented with: the order of day, month, or year can differ, different separators ("-", "/", or whitespace) can be used, months can be numerical, names, or abbreviations and year given as two digits or four. 'datefixR' takes dates in all these different formats and converts them to R's built-in date class. If 'datefixR' cannot standardize a date, such as because it is too malformed, then the user is told which date cannot be standardized and the corresponding ID for the row. 'datefixR' also allows the imputation of missing days and months with user-controlled behavior.
Author: Nathan Constantine-Cooke [aut, cre] , Jonathan Kitt [ctb, trl], Antonio J. Perez-Luque [ctb, trl] , Daniel Possenriede [ctb, trl] , Kaique dos S. Alves [rev] , Al-Ahmadgaid B. Asaad [rev]
Maintainer: Nathan Constantine-Cooke <nathan.constantine-cooke@ed.ac.uk>

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Package cglasso updated to version 2.0.6 with previous version 2.0.5 dated 2022-05-27

Title: Conditional Graphical LASSO for Gaussian Graphical Models with Censored and Missing Values
Description: Conditional graphical lasso estimator is an extension of the graphical lasso proposed to estimate the conditional dependence structure of a set of p response variables given q predictors. This package provides suitable extensions developed to study datasets with censored and/or missing values. Standard conditional graphical lasso is available as a special case. Furthermore, the package provides an integrated set of core routines for visualization, analysis, and simulation of datasets with censored and/or missing values drawn from a Gaussian graphical model. Details about the implemented models can be found in Augugliaro et al. (2023) <doi: 10.18637/jss.v105.i01>, Augugliaro et al. (2020b) <doi: 10.1007/s11222-020-09945-7>, Augugliaro et al. (2020a) <doi: 10.1093/biostatistics/kxy043>, Yin et al. (2001) <doi: 10.1214/11-AOAS494> and Stadler et al. (2012) <doi: 10.1007/s11222-010-9219-7>.
Author: Luigi Augugliaro [aut, cre] , Gianluca Sottile [aut] , Ernst C. Wit [aut] , Veronica Vinciotti [aut]
Maintainer: Luigi Augugliaro <luigi.augugliaro@unipa.it>

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Package Rmixmod updated to version 2.1.8 with previous version 2.1.7 dated 2022-10-18

Title: Classification with Mixture Modelling
Description: Interface of 'MIXMOD' software for supervised, unsupervised and semi-supervised classification with mixture modelling <doi: 10.18637/jss.v067.i06>.
Author: Florent Langrognet [aut], Remi Lebret [aut], Christian Poli [aut], Serge Iovleff [aut], Benjamin Auder [aut], Parmeet Bhatia [ctb], Anwuli Echenim [ctb], Serge Iovleff [aut], Christophe Biernacki [ctb], Gilles Celeux [ctb], Gerard Govaert [ctb], Quen [...truncated...]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>

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Package mirai updated to version 0.7.2 with previous version 0.7.1 dated 2022-11-15

Title: Minimalist Async Evaluation Framework for R
Description: Lightweight parallel code execution, local or distributed across the network. Designed for simplicity, a 'mirai' evaluates an arbitrary expression asynchronously, resolving automatically upon completion. Built on 'nanonext' and 'NNG' (Nanomsg Next Gen), uses scalability protocols not subject to R connection limits and transports faster than TCP/IP where applicable.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package gslnls updated to version 1.1.2 with previous version 1.1.1 dated 2021-12-13

Title: GSL Nonlinear Least-Squares Fitting
Description: An R interface to nonlinear least-squares optimization with the GNU Scientific Library (GSL), see M. Galassi et al. (2009, ISBN:0954612078). The available trust region methods include the Levenberg-Marquardt algorithm with and without geodesic acceleration, the Steihaug-Toint conjugate gradient algorithm for large systems and several variants of Powell's dogleg algorithm. Bindings are provided to tune a number of parameters affecting the low-level aspects of the trust region algorithms. The interface mimics R's nls() function and returns model objects inheriting from the same class.
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <joris.chau@openanalytics.eu>

Diff between gslnls versions 1.1.1 dated 2021-12-13 and 1.1.2 dated 2023-01-17

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Package LogConcDEAD updated to version 1.6-7 with previous version 1.6-6 dated 2022-11-03

Title: Log-Concave Density Estimation in Arbitrary Dimensions
Description: Software for computing a log-concave (maximum likelihood) estimator for i.i.d. data in any number of dimensions. For a detailed description of the method see Cule, Samworth and Stewart (2010, Journal of Royal Statistical Society Series B, <doi:10.1111/j.1467-9868.2010.00753.x>).
Author: Madeleine Cule, Robert Gramacy, Richard Samworth, Yining Chen
Maintainer: Yining Chen <Y.Chen101@lse.ac.uk>

Diff between LogConcDEAD versions 1.6-6 dated 2022-11-03 and 1.6-7 dated 2023-01-17

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Package emmeans updated to version 1.8.4-1 with previous version 1.8.3 dated 2022-12-06

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell V. Lenth [aut, cre, cph], Paul Buerkner [ctb], Iago Gine-Vazquez [ctb], Maxime Herve [ctb], Maarten Jung [ctb], Jonathon Love [ctb], Fernando Miguez [ctb], Hannes Riebl [ctb], Henrik Singmann [ctb]
Maintainer: Russell V. Lenth <russell-lenth@uiowa.edu>

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More information about emmeans at CRAN
Permanent link

Package Runuran updated to version 0.38 with previous version 0.37 dated 2022-10-18

Title: R Interface to the 'UNU.RAN' Random Variate Generators
Description: Interface to the 'UNU.RAN' library for Universal Non-Uniform RANdom variate generators. Thus it allows to build non-uniform random number generators from quite arbitrary distributions. In particular, it provides an algorithm for fast numerical inversion for distribution with given density function. In addition, the package contains densities, distribution functions and quantiles from a couple of distributions.
Author: Josef Leydold [aut, cre], Wolfgang H"ormann [aut]
Maintainer: Josef Leydold <josef.leydold@wu.ac.at>

Diff between Runuran versions 0.37 dated 2022-10-18 and 0.38 dated 2023-01-17

 DESCRIPTION                                              |    8 
 MD5                                                      |  682 +++++++--------
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 configure                                                |   27 
 configure.ac                                             |    2 
 inst/doc/Runuran.pdf                                     |binary
 inst/include/unuran.h                                    |    3 
 man/Runuran-package.Rd                                   |    4 
 src/Makevars.in                                          |    2 
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 342 files changed, 797 insertions(+), 699 deletions(-)

More information about Runuran at CRAN
Permanent link

Package CARBayesST updated to version 3.3.1 with previous version 3.3 dated 2022-05-12

Title: Spatio-Temporal Generalised Linear Mixed Models for Areal Unit Data
Description: Implements a class of univariate and multivariate spatio-temporal generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation. The response variable can be binomial, Gaussian, or Poisson, but for some models only the binomial and Poisson data likelihoods are available. The spatio-temporal autocorrelation is modelled by random effects, which are assigned conditional autoregressive (CAR) style prior distributions. A number of different random effects structures are available, including models similar to Rushworth et al. (2014) <doi:10.1016/j.sste.2014.05.001>. Full details are given in the vignette accompanying this package. The creation and development of this package was supported by the Engineering and Physical Sciences Research Council (EPSRC) grants EP/J017442/1 and EP/T004878/1 and the Medical Research Council (MRC) grant MR/L022184/1.
Author: Duncan Lee, Alastair Rushworth, Gary Napier and William Pettersson
Maintainer: Duncan Lee <Duncan.Lee@glasgow.ac.uk>

Diff between CARBayesST versions 3.3 dated 2022-05-12 and 3.3.1 dated 2023-01-17

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Package rstan updated to version 2.21.8 with previous version 2.21.7 dated 2022-09-08

Title: R Interface to Stan
Description: User-facing R functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library provided by the 'StanHeaders' package. The Stan project develops a probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via 'variational' approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three cases, automatic differentiation is used to quickly and accurately evaluate gradients without burdening the user with the need to derive the partial derivatives.
Author: Jiqiang Guo [aut], Jonah Gabry [aut], Ben Goodrich [cre, aut], Sebastian Weber [aut], Daniel Lee [ctb], Krzysztof Sakrejda [ctb], Modrak Martin [ctb], Trustees of Columbia University [cph], Oleg Sklyar [cph] , The R Core Team [cph] , Jens Oehlschlaeg [...truncated...]
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

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Package meteospain updated to version 0.1.0 with previous version 0.0.4 dated 2022-05-25

Title: Access to Spanish Meteorological Stations Services
Description: Access to different Spanish meteorological stations data services and APIs (AEMET, SMC, MG, Meteoclimatic...).
Author: Victor Granda [aut, cre] , Miquel de Caceres [ctb] , Aitor Ameztegui [ctb] , Luis Franco [ctb]
Maintainer: Victor Granda <victorgrandagarcia@gmail.com>

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Package ExtDist updated to version 0.7-1 with previous version 0.6-4 dated 2020-12-07

Title: Extending the Range of Functions for Probability Distributions
Description: A consistent, unified and extensible framework for estimation of parameters for probability distributions, including parameter estimation procedures that allow for weighted samples; the current set of distributions included are: the standard beta, The four-parameter beta, Burr, gamma, Gumbel, Johnson SB and SU, Laplace, logistic, normal, symmetric truncated normal, truncated normal, symmetric-reflected truncated beta, standard symmetric-reflected truncated beta, triangular, uniform, and Weibull distributions; decision criteria and selections based on these decision criteria.
Author: Haizhen Wu <h.wu2@massey.ac.nz>, A. Jonathan R. Godfrey <A.J.Godfrey@massey.ac.nz>, Kondaswamy Govindaraju <k.govindaraju@massey.ac.nz>, Sarah Pirikahu <s.pirikahu@massey.ac.nz>
Maintainer: Oleksii Nikolaienko <oleksii.nikolaienko@gmail.com>

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Package malaytextr updated to version 0.1.3 with previous version 0.1.2 dated 2021-10-23

Title: Text Mining for Bahasa Malaysia
Description: It is designed to work with text written in Bahasa Malaysia. We provide functions and data sets that will make working with Bahasa Malaysia text much easier. For word stemming in particular, we will look up the Malay words in a dictionary and then proceed to remove "extra suffix" as explained in Khan, Rehman Ullah, Fitri Suraya Mohamad, Muh Inam UlHaq, Shahren Ahmad Zadi Adruce, Philip Nuli Anding, Sajjad Nawaz Khan, and Abdulrazak Yahya Saleh Al-Hababi (2017) <https://ijrest.net/vol-4-issue-12.html> . This package includes a dictionary of Malay words that may be used to perform word stemming, a dataset of Malay stop words, a dataset of sentiment words and a dataset of normalized words.
Author: Zahier Nasrudin [aut, cre]
Maintainer: Zahier Nasrudin <zahiernasrudin@gmail.com>

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Package terra updated to version 1.6-53 with previous version 1.6-47 dated 2022-12-02

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include standard operations such as intersect and buffer. Raster methods include global, local, zonal, and focal computations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started. 'terra' is a replacement for the 'raster' package ('terra' can do more, and it is faster and easier to use).
Author: Robert J. Hijmans [cre, aut] , Roger Bivand [ctb] , Edzer Pebesma [ctb] , Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package RCMinification updated to version 1.2 with previous version 1.1 dated 2022-03-22

Title: Random Coefficient Minification Time Series Models
Description: Data sets, and functions for simulating and fitting nonlinear time series with minification and nonparametric models.
Author: L. Han [aut, cre]
Maintainer: L. Han <lengyi.han@ubc.ca>

Diff between RCMinification versions 1.1 dated 2022-03-22 and 1.2 dated 2023-01-17

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Package POSetR updated to version 1.1.1 with previous version 1.1.0 dated 2022-05-24

Title: Partially Ordered Sets in R
Description: Provides a set of basic tools for generating, analyzing, summarizing and visualizing finite partially ordered sets. In particular, it implements flexible and very efficient algorithms for the extraction of linear extensions and for the computation of mutual ranking probabilities and other user-defined functionals, over them. The package is meant as a computationally efficient "engine", for the implementation of data analysis procedures, on systems of multidimensional ordinal indicators and partially ordered data, in the spirit of Fattore, M. (2016) "Partially ordered sets and the measurement of multidimensional ordinal deprivation", Social Indicators Research <DOI:10.1007/s11205-015-1059-6>, and Fattore M. and Arcagni, A. (2018) "A reduced posetic approach to the measurement of multidimensional ordinal deprivation", Social Indicators Research <DOI:10.1007/s11205-016-1501-4>.
Author: Alberto Arcagni [aut, cre], Alessandro Avellone [aut], Marco Fattore [aut]
Maintainer: Alberto Arcagni <alberto.arcagni@uniroma1.it>

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Package odbc updated to version 1.3.4 with previous version 1.3.3 dated 2021-11-30

Title: Connect to ODBC Compatible Databases (using the DBI Interface)
Description: A DBI-compatible interface to ODBC databases.
Author: Jim Hester [aut], Hadley Wickham [aut, cre], Oliver Gjoneski [ctb] , lexicalunit [cph] , Google Inc. [cph] , RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package gmp updated to version 0.6-10 with previous version 0.6-9 dated 2022-12-14

Title: Multiple Precision Arithmetic
Description: Multiple Precision Arithmetic (big integers and rationals, prime number tests, matrix computation), "arithmetic without limitations" using the C library GMP (GNU Multiple Precision Arithmetic).
Author: Antoine Lucas, Immanuel Scholz, Rainer Boehme <rb-gmp@reflex-studio.de>, Sylvain Jasson <Sylvain.Jasson@inrae.fr>, Martin Maechler <maechler@stat.math.ethz.ch>
Maintainer: Antoine Lucas <antoinelucas@gmail.com>

Diff between gmp versions 0.6-9 dated 2022-12-14 and 0.6-10 dated 2023-01-17

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Package cordillera updated to version 1.0-0 with previous version 0.8-0 dated 2018-01-13

Title: Calculation of the OPTICS Cordillera
Description: Functions for calculating the OPTICS Cordillera. The OPTICS Cordillera measures the amount of 'clusteredness' in a numeric data matrix within a distance-density based framework for a given minimum number of points comprising a cluster, as described in Rusch, Hornik, Mair (2018) <doi:10.1080/10618600.2017.1349664>. There is an R native version with methods for printing, summarizing, and plotting the result.
Author: Thomas Rusch [aut, cre] , Patrick Mair [ctb], Kurt Hornik [ctb]
Maintainer: Thomas Rusch <thomas.rusch@wu.ac.at>

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Package ads updated to version 1.5-9 with previous version 1.5-8 dated 2022-11-07

Title: Spatial Point Patterns Analysis
Description: Perform first- and second-order multi-scale analyses derived from Ripley K-function (Ripley B. D. (1977) <doi:10.1111/j.2517-6161.1977.tb01615.x>), for univariate, multivariate and marked mapped data in rectangular, circular or irregular shaped sampling windows, with tests of statistical significance based on Monte Carlo simulations.
Author: Raphael Pelissier [aut], Francois Goreaud [aut], Philippe Verley [ctb, cre]
Maintainer: Raphael Pelissier <raphael.pelissier@ird.fr>

Diff between ads versions 1.5-8 dated 2022-11-07 and 1.5-9 dated 2023-01-17

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Package timereg updated to version 2.0.5 with previous version 2.0.4 dated 2022-11-09

Title: Flexible Regression Models for Survival Data
Description: Programs for Martinussen and Scheike (2006), `Dynamic Regression Models for Survival Data', Springer Verlag. Plus more recent developments. Additive survival model, semiparametric proportional odds model, fast cumulative residuals, excess risk models and more. Flexible competing risks regression including GOF-tests. Two-stage frailty modelling. PLS for the additive risk model. Lasso in the 'ahaz' package.
Author: Thomas Scheike with contributions from Torben Martinussen, Jeremy Silver and Klaus Holst
Maintainer: Thomas Scheike <ts@biostat.ku.dk>

Diff between timereg versions 2.0.4 dated 2022-11-09 and 2.0.5 dated 2023-01-17

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Package sgsR updated to version 1.3.3 with previous version 1.3.2 dated 2022-11-19

Title: Structurally Guided Sampling
Description: Structurally guided sampling (SGS) approaches for airborne laser scanning (ALS; LIDAR). Primary functions provide means to generate data-driven stratifications & methods for allocating samples. Intermediate functions for calculating and extracting important information about input covariates and samples are also included. Processing outcomes are intended to help forest and environmental management practitioners better optimize field sample placement as well as assess and augment existing sample networks in the context of data distributions and conditions. ALS data is the primary intended use case, however any rasterized remote sensing data can be used, enabling data-driven stratifications and sampling approaches.
Author: Tristan RH Goodbody [aut, cre, cph] , Nicholas C Coops [aut] , Martin Queinnec [aut]
Maintainer: Tristan RH Goodbody <goodbody.t@gmail.com>

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Package mets updated to version 1.3.2 with previous version 1.3.1 dated 2022-10-02

Title: Analysis of Multivariate Event Times
Description: Implementation of various statistical models for multivariate event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>. Also contains two-stage binomial modelling that can do pairwise odds-ratio dependence modelling based marginal logistic regression models. This is an alternative to the alternating logistic regression approach (ALR).
Author: Klaus K. Holst [aut, cre], Thomas Scheike [aut]
Maintainer: Klaus K. Holst <klaus@holst.it>

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New package MagmaClustR with initial version 1.1.1
Package: MagmaClustR
Title: Clustering and Prediction using Multi-Task Gaussian Processes with Common Mean
Version: 1.1.1
Description: An implementation for the multi-task Gaussian processes with common mean framework. Two main algorithms, called 'Magma' and 'MagmaClust', are available to perform predictions for supervised learning problems, in particular for time series or any functional/continuous data applications. The corresponding articles has been respectively proposed by Arthur Leroy, Pierre Latouche, Benjamin Guedj and Servane Gey (2022) <doi:10.1007/s10994-022-06172-1>, and Arthur Leroy, Pierre Latouche, Benjamin Guedj and Servane Gey (2020) <arXiv:2011.07866>. Theses approaches leverage the learning of cluster-specific mean processes, which are common across similar tasks, to provide enhanced prediction performances (even far from data) at a linear computational cost (in the number of tasks). 'MagmaClust' is a generalisation of 'Magma' where the tasks are simultaneously clustered into groups, each being associated to a specific mean process. User-oriented functions in the package are decomposed [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/ArthurLeroy/MagmaClustR, https://arthurleroy.github.io/MagmaClustR/
BugReports: https://github.com/ArthurLeroy/MagmaClustR/issues
Imports: broom, dplyr, ggplot2, magrittr, methods, mvtnorm, plyr, purrr, Rcpp, rlang, stats, tibble, tidyr, tidyselect
Suggests: gganimate, gifski, gridExtra, knitr, plotly, png, rmarkdown, testthat (>= 3.0.0), transformr
LinkingTo: Rcpp
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2023-01-16 15:25:56 UTC; Arthur Leroy
Author: Arthur Leroy [aut, cre] , Pierre Latouche [aut], Pierre Pathe [ctb], Alexia Grenouillat [ctb], Hugo Lelievre [ctb]
Maintainer: Arthur Leroy <arthur.leroy.pro@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-17 09:40:16 UTC

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New package gausscov with initial version 1.0.1
Package: gausscov
Version: 1.0.1
Date: 2022-12-15
Title: The Gaussian Covariate Method for Variable Selection
Author: Laurie Davies [aut, cre]
Maintainer: Laurie Davies <pldavies44@cantab.net>
Description: Given the standard linear model the traditional way of deciding whether to include the jth covariate is to apply the F-test to decide whether the corresponding beta coefficient is zero. The Gaussian covariate method is completely different. The question as to whether the beta coefficient is or is not zero is replaced by the question as to whether the covariate is better or worse than i.i.d. Gaussian noise. The P-value for the covariate is the probability that Gaussian noise is better. Surprisingly this can be given exactly and it is the same a the P-value for the classical model based on the F-distribution. The Gaussian covariate P-value is model free, it is the same for any data set. Using the idea it is possible to do covariate selection for a small number of covariates 25 by considering all subsets. Post selection inference causes no problems as the P-values hold whatever the data. The idea extends to stepwise regression again with exact probabilities. In the simplest version the [...truncated...]
LazyData: true
License: GPL-3
Depends: R (>= 3.5.0), stats
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-01-16 12:59:02 UTC; laurie
Repository: CRAN
Date/Publication: 2023-01-17 09:40:13 UTC

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Package rules updated to version 1.0.1 with previous version 1.0.0 dated 2022-06-23

Title: Model Wrappers for Rule-Based Models
Description: Bindings for additional models for use with the 'parsnip' package. Models include prediction rule ensembles (Friedman and Popescu, 2008) <doi:10.1214/07-AOAS148>, C5.0 rules (Quinlan, 1992 ISBN: 1558602380), and Cubist (Kuhn and Johnson, 2013) <doi:10.1007/978-1-4614-6849-3>.
Author: Emil Hvitfeldt [aut, cre] , Max Kuhn [aut] , Posit Software PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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Package Rmalschains updated to version 0.2-9 with previous version 0.2-8 dated 2022-10-09

Title: Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains) in R
Description: An implementation of an algorithm family for continuous optimization called memetic algorithms with local search chains (MA-LS-Chains). Memetic algorithms are hybridizations of genetic algorithms with local search methods. They are especially suited for continuous optimization.
Author: Christoph Bergmeir [aut, cre, cph], Jose M. Benitez [ths], Daniel Molina [aut, cph], Robert Davies [ctb, cph] , Dirk Eddelbuettel [ctb, cph] , Nikolaus Hansen [ctb, cph]
Maintainer: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>

Diff between Rmalschains versions 0.2-8 dated 2022-10-09 and 0.2-9 dated 2023-01-17

 ChangeLog        |    4 ++++
 DESCRIPTION      |    8 ++++----
 MD5              |   12 ++++++------
 src/debug.cc     |    2 +-
 src/domain.cc    |    2 +-
 src/get_util.cc  |   36 ++++++++++--------------------------
 src/origcmaes.cc |   36 ++++++++++++++++++------------------
 7 files changed, 44 insertions(+), 56 deletions(-)

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Package scrypt updated to version 0.1.5 with previous version 0.1.4 dated 2022-04-19

Title: Key Derivation Functions for R Based on Scrypt
Description: Functions for working with the scrypt key derivation functions originally described by Colin Percival <https://www.tarsnap.com/scrypt/scrypt.pdf> and in Percival and Josefsson (2016) <doi:10.17487/RFC7914>. Scrypt is a password-based key derivation function created by Colin Percival. The algorithm was specifically designed to make it costly to perform large-scale custom hardware attacks by requiring large amounts of memory.
Author: Bob Jansen [ctb, cre], Andy Kipp [aut], Colin Percival [aut, cph], RStudio [cph]
Maintainer: Bob Jansen <bobjansen@gmail.com>

Diff between scrypt versions 0.1.4 dated 2022-04-19 and 0.1.5 dated 2023-01-17

 DESCRIPTION                   |    8 
 MD5                           |   16 
 NEWS                          |    9 
 README.md                     |    4 
 src/scrypt-1.1.6/Makefile.in  |   95 -
 src/scrypt-1.1.6/aclocal.m4   |  224 +-
 src/scrypt-1.1.6/config.h.in  |   10 
 src/scrypt-1.1.6/configure    | 3156 +++++++++++++++++++-----------------------
 src/scrypt-1.1.6/configure.ac |    2 
 9 files changed, 1694 insertions(+), 1830 deletions(-)

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Package CensSpatial updated to version 3.5 with previous version 3.0 dated 2022-08-15

Title: Censored Spatial Models
Description: It fits linear regression models for censored spatial data. It provides different estimation methods as the SAEM (Stochastic Approximation of Expectation Maximization) algorithm and seminaive that uses Kriging prediction to estimate the response at censored locations and predict new values at unknown locations. It also offers graphical tools for assessing the fitted model. More details can be found in Ordonez et al. (2018) <doi:10.1016/j.spasta.2017.12.001>.
Author: Alejandro Ordonez, Christian E. Galarza, Victor H. Lachos
Maintainer: Alejandro Ordonez <ordonezjosealejandro@gmail.com>

Diff between CensSpatial versions 3.0 dated 2022-08-15 and 3.5 dated 2023-01-17

 DESCRIPTION          |    8 +--
 MD5                  |    8 +--
 R/Seminaiveprin.R    |    9 +--
 R/localinfmeasprin.R |  119 ++++++++++++++++++++++++++++++++++++++++++---------
 man/localinfmeas.Rd  |   12 ++---
 5 files changed, 117 insertions(+), 39 deletions(-)

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Package joineR (with last version 1.2.6) was removed from CRAN

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

2021-06-01 1.2.6
2020-02-08 1.2.5
2018-05-17 1.2.4
2018-02-06 1.2.3
2017-09-14 1.2.2
2017-07-24 1.2.1
2017-05-19 1.2.0
2017-02-02 1.1.0
2012-10-26 1.0-3
2012-06-05 1.0-2
2012-03-30 1.0-1

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Package comparer (with last version 0.2.2) was removed from CRAN

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

2021-03-29 0.2.2
2020-03-25 0.2.1

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Package surf (with last version 1.0.0) was removed from CRAN

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

2021-04-06 1.0.0

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