Tue, 14 Nov 2023

Package onlinePCA updated to version 1.3.2 with previous version 1.3.1 dated 2016-09-21

Title: Online Principal Component Analysis
Description: Online PCA for multivariate and functional data using perturbation methods, low-rank incremental methods, and stochastic optimization methods.
Author: David Degras [aut, cre], Herve Cardot [ctb]
Maintainer: David Degras <ddegrasv@gmail.com>

Diff between onlinePCA versions 1.3.1 dated 2016-09-21 and 1.3.2 dated 2023-11-14

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Package tsutils updated to version 0.9.4 with previous version 0.9.3 dated 2022-07-05

Title: Time Series Exploration, Modelling and Forecasting
Description: Includes: (i) tests and visualisations that can help the modeller explore time series components and perform decomposition; (ii) modelling shortcuts, such as functions to construct lagmatrices and seasonal dummy variables of various forms; (iii) an implementation of the Theta method; (iv) tools to facilitate the design of the forecasting process, such as ABC-XYZ analyses; and (v) "quality of life" functions, such as treating time series for trailing and leading values.
Author: Nikolaos Kourentzes [aut, cre], Ivan Svetunkov [ctb], Oliver Schaer [ctb]
Maintainer: Nikolaos Kourentzes <nikolaos@kourentzes.com>

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Package nnfor updated to version 0.9.9 with previous version 0.9.8 dated 2022-07-09

Title: Time Series Forecasting with Neural Networks
Description: Automatic time series modelling with neural networks. Allows fully automatic, semi-manual or fully manual specification of networks. For details of the specification methodology see: (i) Crone and Kourentzes (2010) <doi:10.1016/j.neucom.2010.01.017>; and (ii) Kourentzes et al. (2014) <doi:10.1016/j.eswa.2013.12.011>.
Author: Nikolaos Kourentzes [aut, cre]
Maintainer: Nikolaos Kourentzes <nikolaos@kourentzes.com>

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Package dartR.spatial updated to version 0.78 with previous version 0.76 dated 2023-08-17

Title: Applying Landscape Genomic Methods on 'SNP' and 'Silicodart' Data
Description: Provides landscape genomic functions to analyse 'SNP' (single nuclear polymorphism) data, such as least cost path analysis and isolation by distance. Therefore each sample needs to have coordinate data attached (lat/lon) to be able to run most of the functions. 'dartR.spatial' is a package that belongs to the 'dartRverse' suit of packages and depends on 'dartR.base' and 'dartR.data'.
Author: Bernd Gruber [aut, cre], Arthur Georges [aut], Jose L. Mijangos [aut], Carlo Pacioni [aut], Peter J. Unmack [ctb], Oliver Berry [ctb]
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>

Diff between dartR.spatial versions 0.76 dated 2023-08-17 and 0.78 dated 2023-11-14

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Package stringr updated to version 1.5.1 with previous version 1.5.0 dated 2022-12-02

Title: Simple, Consistent Wrappers for Common String Operations
Description: A consistent, simple and easy to use set of wrappers around the fantastic 'stringi' package. All function and argument names (and positions) are consistent, all functions deal with "NA"'s and zero length vectors in the same way, and the output from one function is easy to feed into the input of another.
Author: Hadley Wickham [aut, cre, cph], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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New package easybgm with initial version 0.1.1
Package: easybgm
Title: Extracting and Visualizing Bayesian Graphical Models
Version: 0.1.1
Maintainer: Karoline Huth <k.huth@uva.nl>
Description: Fit and visualize the results of a Bayesian analysis of networks commonly found in psychology. The package supports fitting cross-sectional network models fitted using the packages 'BDgraph', 'bgms' and 'BGGM'. The package provides the parameter estimates, posterior inclusion probabilities, inclusion Bayes factor, and the posterior density of the parameters. In addition, for 'BDgraph' and 'bgms' it allows to assess the posterior structure space. Furthermore, the package comes with an extensive suite for visualizing results.
License: GPL (>= 2)
Encoding: UTF-8
Imports: BDgraph, bgms (>= 0.1.1), dplyr, ggplot2, HDInterval, igraph, qgraph
Suggests: testthat (>= 3.0.0), vdiffr
NeedsCompilation: no
Packaged: 2023-11-14 19:14:32 UTC; karolinehuth
Author: Karoline Huth [aut, cre] , Sara Keetelaar [ctb]
Repository: CRAN
Date/Publication: 2023-11-14 23:30:02 UTC

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Package TITAN2 updated to version 2.4.3 with previous version 2.4.2 dated 2023-05-31

Title: Threshold Indicator Taxa Analysis
Description: Uses indicator species scores across binary partitions of a sample set to detect congruence in taxon-specific changes of abundance and occurrence frequency along an environmental gradient as evidence of an ecological community threshold. Relevant references include Baker and King (2010) <doi:10.1111/j.2041-210X.2009.00007.x>, King and Baker (2010) <doi:10.1899/09-144.1>, and Baker and King (2013) <doi:10.1899/12-142.1>.
Author: Matthew E. Baker [aut, cph] , Ryan S. King [aut, cph] , David Kahle [aut, cph, cre]
Maintainer: David Kahle <david@kahle.io>

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Package misty updated to version 0.5.4 with previous version 0.5.3 dated 2023-09-17

Title: Miscellaneous Functions 'T. Yanagida'
Description: Miscellaneous functions for descriptive statistics (e.g., frequency table, cross tabulation, multilevel descriptive statistics, multilevel R-squared measures, within-group and between-group correlation matrix, various effect size measures), data management (e.g., grand-mean and group-mean centering, coding variables and reverse coding items, scale and group scores, reading and writing SPSS and Excel files), missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), item analysis (e.g., coefficient alpha and omega, multilevel confirmatory factor analysis, between-group and longitudinal measurement equivalence evaluation, cross-level measurement equivalence evaluation, and multilevel composite reliability), and statistical analysis (e.g., confidence intervals, collinearity and residual diagnostics, dominance analysis, between- and within-subject analysis of variance, latent class anal [...truncated...]
Author: Takuya Yanagida [aut, cre]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>

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Package imf.data updated to version 0.1.1 with previous version 0.1.0 dated 2023-11-07

Title: An Interface to IMF (International Monetary Fund) Data JSON API
Description: A straightforward interface for accessing the IMF (International Monetary Fund) data JSON API, available at <https://data.imf.org/>. This package offers direct access to the primary API endpoints: Dataflow, DataStructure, and CompactData. And, it provides an intuitive interface for exploring available dimensions and attributes, as well as querying individual time-series datasets. Additionally, the package implements a rate limit on API calls to reduce the chances of exceeding service limits (limited to 10 calls every 5 seconds) and encountering response errors.
Author: Pedro Baltazar [aut, cre]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>

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Package beezdiscounting updated to version 0.3.0 with previous version 0.2.0 dated 2023-11-02

Title: Behavioral Economic Easy Discounting
Description: Facilitates some of the analyses performed in studies of behavioral economic discounting. The package supports scoring of the 27-Item Monetary Choice Questionnaire (see Kaplan et al., 2016; <doi:10.1007/s40614-016-0070-9>) and scoring of the minute discounting task (see Koffarnus & Bickel, 2014; <doi:10.1037/a0035973>) using the Qualtrics 5-trial discounting template (see the Qualtrics Minute Discounting User Guide; <doi:10.13140/RG.2.2.26495.79527>), which is also available as a .qsf file in this package.
Author: Brent Kaplan [aut, cre, cph]
Maintainer: Brent Kaplan <bkaplan.ku@gmail.com>

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Package robustlmm updated to version 3.2-5 with previous version 3.2-3 dated 2023-10-05

Title: Robust Linear Mixed Effects Models
Description: Implements the Robust Scoring Equations estimator to fit linear mixed effects models robustly. Robustness is achieved by modification of the scoring equations combined with the Design Adaptive Scale approach.
Author: Manuel Koller
Maintainer: Manuel Koller <kollerma@proton.me>

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Package insane updated to version 1.0.3 with previous version 1.0.2 dated 2023-04-01

Title: INsulin Secretion ANalysEr
Description: A user-friendly interface, using Shiny, to analyse glucose-stimulated insulin secretion (GSIS) assays in pancreatic beta cells or islets. The package allows the user to import several sets of experiments from different spreadsheets and to perform subsequent steps: summarise in a tidy format, visualise data quality and compare experimental conditions without omitting to account for technical confounders such as the date of the experiment or the technician. Together, insane is a comprehensive method that optimises pre-processing and analyses of GSIS experiments in a friendly-user interface. The Shiny App was initially designed for EndoC-betaH1 cell line following method described in Ndiaye et al., 2017 (<doi:10.1016/j.molmet.2017.03.011>).
Author: Mickael Canouil [aut, cre]
Maintainer: Mickael Canouil <pro@mickael.canouil.dev>

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Package RivRetrieve updated to version 0.1.3 with previous version 0.1.2 dated 2023-11-03

Title: Retrieve Global River Gauge Data
Description: Provides access to global river gauge data from a variety of national-level river agencies. The package interfaces with the national-level agency websites to provide access to river gauge locations, river discharge, and river stage. Currently, the package is available for the following countries: Australia, Brazil, Canada, Chile, France, Japan, South Africa, the United Kingdom, and the United States.
Author: Ryan Riggs [aut, cre] , Simon Moulds [aut] , Michel Wortmann [aut] , Louise Slater [aut] , George Allen [aut]
Maintainer: Ryan Riggs <rriggs@tamu.edu>

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Package rcaiman updated to version 1.2.2 with previous version 1.1.2 dated 2023-05-19

Title: CAnopy IMage ANalysis
Description: Classify hemispherical photographs of the plant canopy with algorithms specially developed for such a task and well documented in Díaz and Lencinas (2015) <doi:10.1109/lgrs.2015.2425931> and Díaz and Lencinas (2018) <doi:10.1139/cjfr-2018-0006>. It supports non-circular hemispherical photography, such as those acquired with 15mm lenses or with auxiliary fish-eye lenses attached to mobile devices. For smartphone-based hemispherical photography see Díaz (2023) <doi:10.1111/2041-210x.14059>. Most of the functions also support restricted view photography.
Author: Gaston Mauro Diaz [aut, cre]
Maintainer: Gaston Mauro Diaz <gastonmaurodiaz@gmail.com>

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Package FAO56 updated to version 1.0 with previous version 0.1.0 dated 2021-11-17

Title: Evapotranspiration Based on FAO Penman-Monteith Equation
Description: Calculation of Evapotranspiration by FAO Penman-Monteith equation based on Allen, R. G., Pereira, L. S., Raes, D., Smith, M. (1998, ISBN:92-5-104219-5) "Crop evapotranspiration - Guidelines for computing crop water requirements - FAO Irrigation and drainage paper 56".
Author: Ali Ahani [aut, cre] <a_ahani@sbu.ac.ir> , S. Saeid Mousavi Nadoushani [aut] <sa_mousavi@sbu.ac.ir>
Maintainer: Ali Ahani <ali.ahani66@gmail.com>

Diff between FAO56 versions 0.1.0 dated 2021-11-17 and 1.0 dated 2023-11-14

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Package DoE.base updated to version 1.2-4 with previous version 1.2-3 dated 2023-10-17

Title: Full Factorials, Orthogonal Arrays and Base Utilities for DoE Packages
Description: Creates full factorial experimental designs and designs based on orthogonal arrays for (industrial) experiments. Provides diverse quality criteria. Provides utility functions for the class design, which is also used by other packages for designed experiments.
Author: Ulrike Groemping [aut, cre], Boyko Amarov [ctb], Hongquan Xu [ctb]
Maintainer: Ulrike Groemping <ulrike.groemping@bht-berlin.de>

Diff between DoE.base versions 1.2-3 dated 2023-10-17 and 1.2-4 dated 2023-11-14

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Permanent link

Package semPower updated to version 2.1.0 with previous version 2.0.1 dated 2023-05-16

Title: Power Analyses for SEM
Description: Provides a-priori, post-hoc, and compromise power-analyses for structural equation models (SEM).
Author: Morten Moshagen [aut, cre] , Martina Bader [aut]
Maintainer: Morten Moshagen <morten.moshagen@uni-ulm.de>

Diff between semPower versions 2.0.1 dated 2023-05-16 and 2.1.0 dated 2023-11-14

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New package tensorEVD with initial version 0.1.0
Package: tensorEVD
Title: A Fast Algorithm to Factorize High-Dimensional Tensor Product Matrices
Version: 0.1.0
Date: 2023-11-13
Description: Here we provide tools for the computation and factorization of high-dimensional tensor products that are formed by smaller matrices. The methods are based on properties of Kronecker products (Searle 1982, p. 265, ISBN-10: 0470009616).
LazyLoad: true
Depends: R (>= 3.6.0)
Suggests: knitr, rmarkdown, ggplot2, reshape2, RColorBrewer
VignetteBuilder: rmarkdown
Encoding: UTF-8
License: GPL-3
NeedsCompilation: yes
Packaged: 2023-11-13 18:16:13 UTC; marco
Author: Marco Lopez-Cruz [aut, cre], Gustavo de los Campos [aut], Paulino Perez-Rodriguez [aut]
Maintainer: Marco Lopez-Cruz <lopezcru@msu.edu>
Repository: CRAN
Date/Publication: 2023-11-14 17:20:02 UTC

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New package SEI with initial version 0.1.0
Package: SEI
Title: Calculating Standardised Indices
Version: 0.1.0
Description: Convert a time series of observations to a time series of standardised indices that can be used to monitor variables on a common and probabilistically interpretable scale. The indices can be aggregated and rescaled to different time scales, visualised using plot capabilities, and calculated using a range of distributions. This includes flexible non- and semi-parametric methods, as suggested by Allen and Otero (2023) <doi:10.1016/j.renene.2023.119206>.
URL: https://github.com/noeliaof/SEI
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: ggplot2, xts, zoo, fitdistrplus
Suggests: knitr, lubridate, dplyr, gridExtra, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-11-14 08:19:59 UTC; sa20i493
Author: Sam Allen [aut, cre], Noelia Otero [aut]
Maintainer: Sam Allen <sam.allen@unibe.ch>
Repository: CRAN
Date/Publication: 2023-11-14 17:50:05 UTC

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New package RsqMed with initial version 1.1
Package: RsqMed
Title: Total Mediation Effect Size Measure for High-Dimensional Mediators
Version: 1.1
Description: An implementation of calculating the R-squared measure as a total mediation effect size measure and its confidence interval for moderate- or high-dimensional mediator models. It gives an option to filter out non-mediators using variable selection methods. The original R package is directly related to the paper Yang et al (2021) "Estimation of mediation effect for high-dimensional omics mediators with application to the Framingham Heart Study" <doi:10.1101/774877>. The new version contains a choice of using cross-fitting, which is computationally faster. The details of the cross-fitting method are available in the paper Xu et al (2023) "Speeding up interval estimation for R2-based mediation effect of high-dimensional mediators via cross-fitting" <doi:10.1101/2023.02.06.527391>.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: SIS (>= 0.8), GMMAT (>= 1.4.1)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-11-13 19:01:47 UTC; yang3704
Maintainer: Tianzhong Yang <yang3704@umn.edu>
Repository: CRAN
Author: Tianzhong Yang [aut, cre], Chunlin Li [aut], Zhichao Xu [ctb]
Date/Publication: 2023-11-14 17:20:12 UTC

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New package npsm with initial version 1.1.1
Package: npsm
Title: Nonparametric Statistical Methods
Version: 1.1.1
Date: 2023-11-11
Author: John Kloke [aut, cre], Joseph McKean [aut]
Maintainer: John Kloke <johndkloke@gmail.com>
Description: Accompanies the book "Nonparametric Statistical Methods Using R" by Kloke and McKean (2014, ISBN:9781439873434). Includes methods, datasets, and random number generation useful for the study of robust and/or nonparametric statistics. Emphasizes classical nonparametric methods for a variety of designs --- especially one-sample and two-sample problems. Includes methods for general scores, including estimation and testing for the two-sample location problem as well as Hogg's adaptive method.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
URL: https://github.com/kloke/npsm, https://github.com/kloke/book
Depends: R (>= 3.5.0), Rfit
Imports: methods, class, plyr
Suggests: boot, survival, sm, HSAUR2, devtools, profileR, car, dplyr, tree
NeedsCompilation: no
Packaged: 2023-11-13 20:25:26 UTC; john
Repository: CRAN
Date/Publication: 2023-11-14 17:30:02 UTC

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New package mfp2 with initial version 1.0.0
Package: mfp2
Title: Multivariable Fractional Polynomial Models with Extensions
Version: 1.0.0
Date: 2023-11-13
Depends: R (>= 4.2.0)
Imports: ggplot2 (>= 3.4.0), stats, survival, utils
Suggests: knitr, testthat (>= 3.0.0), xfun, rmarkdown, formatR, patchwork, spelling
Description: Multivariable fractional polynomial algorithm simultaneously selects variables and functional forms in both generalized linear models and Cox proportional hazard models. Key references for this algorithm are Royston and Altman (1994)<doi:10.2307/2986270> and Sauerbrei and Royston (2008, ISBN:978-0-470-02842-1). In addition, it can model a 'sigmoid' relationship between variable x and an outcome variable y using the approximate cumulative distribution transformation proposed by Royston (2014) <doi:10.1177/1536867X1401400206>. This feature distinguishes it from a standard fractional polynomial function, which lacks the ability to achieve such modeling.
License: GPL-3
URL: https://github.com/EdwinKipruto/mfp2
BugReports: https://github.com/EdwinKipruto/mfp2/issues
Encoding: UTF-8
NeedsCompilation: yes
Author: Edwin Kipruto [aut, cre], Michael Kammer [aut], Patrick Royston [aut], Willi Sauerbrei [aut]
Maintainer: Edwin Kipruto <edwin.kipruto@uniklinik-freiburg.de>
VignetteBuilder: knitr
Language: en-US
Packaged: 2023-11-14 08:39:49 UTC; Edwin Kipruto
Repository: CRAN
Date/Publication: 2023-11-14 18:00:03 UTC

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Package injurytools updated to version 1.0.3 with previous version 1.0.2 dated 2023-09-27

Title: A Toolkit for Sports Injury Data Analysis
Description: Sports Injury Data analysis aims to identify and describe the magnitude of the injury problem, and to gain more insights (e.g. determine potential risk factors) by statistical modelling approaches. The 'injurytools' package provides standardized routines and utilities that simplify such analyses. It offers functions for data preparation, informative visualizations and descriptive and model-based analyses.
Author: Lore Zumeta Olaskoaga [aut, cre] , Dae-Jin Lee [ctb]
Maintainer: Lore Zumeta Olaskoaga <lzumeta@bcamath.org>

Diff between injurytools versions 1.0.2 dated 2023-09-27 and 1.0.3 dated 2023-11-14

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More information about injurytools at CRAN
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Package gmvarkit updated to version 2.1.0 with previous version 2.0.10 dated 2023-08-19

Title: Estimate Gaussian and Student's t Mixture Vector Autoregressive Models
Description: Unconstrained and constrained maximum likelihood estimation of structural and reduced form Gaussian mixture vector autoregressive, Student's t mixture vector autoregressive, and Gaussian and Student's t mixture vector autoregressive models, quantile residual tests, graphical diagnostics, simulations, forecasting, and estimation of generalized impulse response function and generalized forecast error variance decomposition. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2016) <doi:10.1016/j.jeconom.2016.02.012>, Savi Virolainen (2022) <arXiv:2007.04713>, Savi Virolainen (2022) <arXiv:2109.13648>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

Diff between gmvarkit versions 2.0.10 dated 2023-08-19 and 2.1.0 dated 2023-11-14

 DESCRIPTION                                 |    6 
 MD5                                         |  225 ++++++-----
 NAMESPACE                                   |    4 
 NEWS.md                                     |   20 +
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 118 files changed, 4260 insertions(+), 1334 deletions(-)

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Permanent link

New package iBART with initial version 1.0.0
Package: iBART
Title: Iterative Bayesian Additive Regression Trees Descriptor Selection Method
Version: 1.0.0
Maintainer: Shengbin Ye <sy53@rice.edu>
Description: A statistical method based on Bayesian Additive Regression Trees with Global Standard Error Permutation Test (BART-G.SE) for descriptor selection and symbolic regression. It finds the symbolic formula of the regression function y=f(x) as described in Ye, Senftle, and Li (2023) <arXiv:2110.10195>.
URL: https://github.com/mattsheng/iBART
BugReports: https://github.com/mattsheng/iBART/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Depends: R (>= 4.0.0)
Imports: bartMachine (>= 1.2.6), glmnet (>= 4.1-1), foreach, stats
Suggests: knitr, rmarkdown, ggplot2, ggpubr
SystemRequirements: Java (>= 8.0)
NeedsCompilation: no
Packaged: 2023-11-14 03:18:59 UTC; matts
Author: Shengbin Ye [aut, cre, cph] , Meng Li [aut]
Repository: CRAN
Date/Publication: 2023-11-14 17:40:02 UTC

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New package geoGAM with initial version 0.1-3
Package: geoGAM
Title: Select Sparse Geoadditive Models for Spatial Prediction
Version: 0.1-3
Date: 2023-10-30
Depends: R(>= 2.14.0)
Imports: mboost, mgcv, grpreg, MASS
Suggests: raster, sp
Description: A model building procedure to build parsimonious geoadditive model from a large number of covariates. Continuous, binary and ordered categorical responses are supported. The model building is based on component wise gradient boosting with linear effects, smoothing splines and a smooth spatial surface to model spatial autocorrelation. The resulting covariate set after gradient boosting is further reduced through backward elimination and aggregation of factor levels. The package provides a model based bootstrap method to simulate prediction intervals for point predictions. A test data set of a soil mapping case study in Berne (Switzerland) is provided. Nussbaum, M., Walthert, L., Fraefel, M., Greiner, L., and Papritz, A. (2017) <doi:10.5194/soil-3-191-2017>.
License: GPL (>= 2)
Author: Madlene Nussbaum [cre, aut], Andreas Papritz [ths]
Maintainer: Madlene Nussbaum <m.nussbaum@uu.nl>
LazyData: TRUE
NeedsCompilation: no
Repository: CRAN
Packaged: 2023-11-14 15:44:13 UTC; madlene
Date/Publication: 2023-11-14 18:00:07 UTC

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New package fastFMM with initial version 0.1.0
Package: fastFMM
Title: Fast Functional Mixed Models using Fast Univariate Inference
Version: 0.1.0
Date: 2023-11-11
Description: Implementation of the fast univariate inference approach (Cui et al. (2022) <doi:10.1080/10618600.2021.1950006>, Loewinger et al. (2023) <doi:10.1101/2023.11.06.565896>) for fitting functional mixed models.
License: GPL (>= 3)
Encoding: UTF-8
Repository: CRAN
Imports: lme4, parallel, cAIC4, magrittr, dplyr, mgcv, MASS, lsei, refund, stringr, Matrix, mvtnorm, progress, ggplot2, gridExtra, Rfast, lmeresampler, stats, methods
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, spelling
Language: en-US
NeedsCompilation: no
Packaged: 2023-11-13 17:59:01 UTC; ecui
Author: Erjia Cui [aut, cre], Gabriel Loewinger [aut]
Maintainer: Erjia Cui <ecui@umn.edu>
Date/Publication: 2023-11-14 17:20:09 UTC

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New package AIUQ with initial version 0.5.0
Package: AIUQ
Title: Ab Initio Uncertainty Quantification
Version: 0.5.0
Author: Yue He [aut], Xubo Liu [aut], Mengyang Gu [aut, cre]
Maintainer: Mengyang Gu <mengyang@pstat.ucsb.edu>
Description: Uncertainty quantification and inverse estimation by probabilistic generative models from the beginning of the data analysis. An example is a Fourier basis method for inverse estimation in scattering analysis of microscopy videos. It does not require specifying a certain range of Fourier bases and it substantially reduces computational cost via the generalized Schur algorithm. See the reference: Mengyang Gu, Yue He, Xubo Liu and Yimin Luo (2023), <arXiv:2309.02468>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: fftwtools (>= 0.9.11), SuperGauss (>= 2.0.3), methods, plot3D (>= 1.4)
NeedsCompilation: no
Packaged: 2023-11-14 07:08:17 UTC; mengyanggu
Repository: CRAN
Date/Publication: 2023-11-14 17:50:08 UTC

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New package aeddo with initial version 0.1.0
Package: aeddo
Title: Automated and Early Detection of Disease Outbreaks
Version: 0.1.0
Description: A powerful tool for automating the early detection of disease outbreaks in time series data. 'aeddo' employs advanced statistical methods, including hierarchical models, in an innovative manner to effectively characterize outbreak signals. It is particularly useful for epidemiologists, public health professionals, and researchers seeking to identify and respond to disease outbreaks in a timely fashion. For a detailed reference on hierarchical models, consult Henrik Madsen and Poul Thyregod's book (2011), ISBN: 9781420091557.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, MASS, rmarkdown, testthat (>= 3.0.0), zoo
Imports: ggplot2, checkmate, dplyr, lifecycle, magrittr, purrr, tibble, tidyr, utils, rlang
URL: https://ssi-dk.github.io/aeddo/, https://github.com/ssi-dk/aeddo
VignetteBuilder: knitr
BugReports: https://github.com/ssi-dk/aeddo/issues
NeedsCompilation: no
Packaged: 2023-11-14 07:59:21 UTC; b280787
Author: Kasper Schou Telkamp [aut, cre] , Lasse Engbo Christiansen [aut] , Statens Serum Institut, SSI [cph, fnd]
Maintainer: Kasper Schou Telkamp <ksst@ssi.dk>
Repository: CRAN
Date/Publication: 2023-11-14 17:50:02 UTC

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Package MapeBay (with last version 0.1.0) was removed from CRAN

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

2021-11-15 0.1.0

Permanent link
Package prqlr updated to version 0.6.0 with previous version 0.5.4 dated 2023-10-07

Title: R Bindings for the 'prql-compiler' Rust Library
Description: Provides a function to convert 'PRQL' strings to 'SQL' strings. Combined with other R functions that take 'SQL' as an argument, 'PRQL' can be used on R.
Author: Tatsuya Shima [aut, cre], Authors of the dependency Rust crates [aut]
Maintainer: Tatsuya Shima <ts1s1andn@gmail.com>

Diff between prqlr versions 0.5.4 dated 2023-10-07 and 0.6.0 dated 2023-11-14

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Package macrosyntR updated to version 0.3.3 with previous version 0.2.19 dated 2023-03-29

Title: Draw Ordered Oxford Grids and Chord Diagrams
Description: Use standard genomics file format (BED) and a table of orthologs to illustrate synteny conservation at the genome-wide scale. Significantly conserved linkage groups are identified as described in Simakov et al. (2020) <doi:10.1038/s41559-020-1156-z> and displayed on an Oxford Grid (Edwards (1991) <doi:10.1111/j.1469-1809.1991.tb00394.x>) or a chord diagram as in Simakov et al. (2022) <doi:10.1126/sciadv.abi5884>. The package provides a function that uses a network-based greedy algorithm to find communities (Clauset et al. (2004) <doi:10.1103/PhysRevE.70.066111>) and so automatically order the chromosomes on the plot to improve interpretability.
Author: Sami El Hilali [aut, cre] , Richard Copley [aut]
Maintainer: Sami El Hilali <elhilali.sami@gmail.com>

Diff between macrosyntR versions 0.2.19 dated 2023-03-29 and 0.3.3 dated 2023-11-14

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Package cdmTools updated to version 1.0.4 with previous version 1.0.3 dated 2023-03-30

Title: Useful Tools for Cognitive Diagnosis Modeling
Description: Provides useful tools for cognitive diagnosis modeling (CDM). The package includes functions for empirical Q-matrix estimation and validation, such as the Hull method (Nájera, Sorrel, de la Torre, & Abad, 2021, <doi:10.1111/bmsp.12228>) and the discrete factor loading method (Wang, Song, & Ding, 2018, <doi:10.1007/978-3-319-77249-3_29>). It also contains dimensionality assessment procedures for CDM, including parallel analysis and automated fit comparison as explored in Nájera, Abad, and Sorrel (2021, <doi:10.3389/fpsyg.2021.614470>). Other relevant methods and features for CDM applications, such as the restricted DINA model (Nájera et al., 2023; <doi:10.3102/10769986231158829>), the general nonparametric classification method (Chiu et al., 2018; <doi:10.1007/s11336-017-9595-4>), and corrected estimation of the classification accuracy via multiple imputation (Kreitchmann et al., 2022; <doi:10.3758/s13428-022-01967-5>) are also available. Last [...truncated...]
Author: Pablo Najera [aut, cre, cph], Miguel A. Sorrel [aut, cph], Francisco J. Abad [aut, cph], Rodrigo S. Kreitchmann [ctb]
Maintainer: Pablo Najera <pablo.najera@uam.es>

Diff between cdmTools versions 1.0.3 dated 2023-03-30 and 1.0.4 dated 2023-11-14

 DESCRIPTION        |   12 +--
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Package refund updated to version 0.1-33 with previous version 0.1-32 dated 2023-07-23

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@emory.edu>

Diff between refund versions 0.1-32 dated 2023-07-23 and 0.1-33 dated 2023-11-14

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New package OBsMD with initial version 11.1
Package: OBsMD
Title: Objective Bayesian Model Discrimination in Follow-Up Designs
Version: 11.1
Description: Implements the objective Bayesian methodology proposed in Consonni and Deldossi in order to choose the optimal experiment that better discriminate between competing models, see Deldossi and Nai Ruscone (2020) <doi:10.18637/jss.v094.i02>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2023-11-13 23:53:17 UTC; martanairuscone
Author: Marta Nai Ruscone [aut, cre], Laura Deldossi [aut], Cleve Moler [ctb] , Jack Dongarra [ctb]
Maintainer: Marta Nai Ruscone <marta.nairuscone@unige.it>
Repository: CRAN
Date/Publication: 2023-11-14 15:40:05 UTC

More information about OBsMD at CRAN
Permanent link

New package nodeSub with initial version 1.2.8
Package: nodeSub
Title: Simulate DNA Alignments Using Node Substitutions
Version: 1.2.8
Author: Thijs Janzen
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>
Description: Simulate DNA sequences for the node substitution model. In the node substitution model, substitutions accumulate additionally during a speciation event, providing a potential mechanistic explanation for substitution rate variation. This package provides tools to simulate such a process, simulate a reference process with only substitutions along the branches, and provides tools to infer phylogenies from alignments. More information can be found in Janzen (2021) <doi:10.1093/sysbio/syab085>.
URL: https://github.com/thijsjanzen/nodeSub
BugReports: https://github.com/thijsjanzen/nodeSub
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
LinkingTo: Rcpp
Depends: Rcpp, ape
Imports: phangorn, tibble, DDD, Rmpfr, pbapply, phylobase, geiger, beautier, beastier, tracerer, rappdirs, testit, stringr, lifecycle
Suggests: testthat, TreeSim, dplyr, knitr, rmarkdown, ggplot2, magrittr, tidyr, nLTT, RPANDA
NeedsCompilation: yes
Packaged: 2023-11-14 13:45:14 UTC; P251362
Repository: CRAN
Date/Publication: 2023-11-14 15:40:02 UTC

More information about nodeSub at CRAN
Permanent link

Package dttr2 updated to version 0.5.0 with previous version 0.4.2 dated 2022-09-26

Title: Manipulate Date, POSIXct and hms Vectors
Description: Manipulates date ('Date'), date time ('POSIXct') and time ('hms') vectors. Date/times are considered discrete and are floored whenever encountered. Times are wrapped and time zones are maintained unless explicitly altered by the user.
Author: Joe Thorley [aut] , Ayla Pearson [aut, cre] , Poisson Consulting [cph, fnd]
Maintainer: Ayla Pearson <ayla@poissonconsulting.ca>

Diff between dttr2 versions 0.4.2 dated 2022-09-26 and 0.5.0 dated 2023-11-14

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More information about dttr2 at CRAN
Permanent link

Package TruncExpFam updated to version 1.1.0 with previous version 1.0.1 dated 2023-08-22

Title: Truncated Exponential Family
Description: Handles truncated members from the exponential family of probability distributions. Contains functions such as rtruncnorm() and dtruncpois(), which are truncated versions of rnorm() and dpois() from the stats package that also offer richer output containing, for example, the distribution parameters. It also provides functions to retrieve the original distribution parameters from a truncated sample by maximum-likelihood estimation.
Author: Rene Holst [aut], Waldir Leoncio [cre, aut]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>

Diff between TruncExpFam versions 1.0.1 dated 2023-08-22 and 1.1.0 dated 2023-11-14

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 TruncExpFam-1.1.0/TruncExpFam/R/chisq.R                                       |   45 +--
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More information about TruncExpFam at CRAN
Permanent link

Package nor1mix updated to version 1.3-2 with previous version 1.3-0 dated 2019-06-13

Title: Normal aka Gaussian 1-d Mixture Models
Description: Onedimensional Normal (i.e. Gaussian) Mixture Models (S3) Classes, for, e.g., density estimation or clustering algorithms research and teaching; providing the widely used Marron-Wand densities. Efficient random number generation and graphics. Fitting to data by efficient ML (Maximum Likelihood) or traditional EM estimation.
Author: Martin Maechler [aut, cre] , Friedrich Leisch [ctb] , <https://orcid.org/0000-0001-7278-1983>), Erik Joergensen [ctb] , qnorMix)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between nor1mix versions 1.3-0 dated 2019-06-13 and 1.3-2 dated 2023-11-14

 ChangeLog          |   19 +++++++++++++++--
 DESCRIPTION        |   20 ++++++++++-------
 MD5                |   23 ++++++++++----------
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 TODO               |    2 -
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More information about nor1mix at CRAN
Permanent link

New package netgsa with initial version 4.0.5
Package: netgsa
Title: Network-Based Gene Set Analysis
Version: 4.0.5
Date: 2023-11-13
Description: Carry out network-based gene set analysis by incorporating external information about interactions among genes, as well as novel interactions learned from data. Implements methods described in Shojaie A, Michailidis G (2010) <doi:10.1093/biomet/asq038>, Shojaie A, Michailidis G (2009) <doi:10.1089/cmb.2008.0081>, and Ma J, Shojaie A, Michailidis G (2016) <doi:10.1093/bioinformatics/btw410>.
Depends: R (>= 3.5.0)
Imports: AnnotationDbi, corpcor, data.table, dplyr, genefilter, graph, graphite, glmnet, glassoFast, httr, igraph, magrittr, Matrix, msigdbr, org.Hs.eg.db, quadprog, RCy3, reshape2, rlang, Rcpp (>= 1.0.2)
Suggests: knitr, MASS, rmarkdown
License: GPL (>= 3)
LinkingTo: Rcpp, RcppEigen
LazyLoad: yes
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/mikehellstern/netgsa
NeedsCompilation: yes
Packaged: 2023-11-13 20:24:11 UTC; mike
Author: Michael Hellstern [aut, cre], Ali Shojaie [aut], Jing Ma [aut], Kun Yue [aut]
Maintainer: Michael Hellstern <mikeh1@uw.edu>
Repository: CRAN
Date/Publication: 2023-11-14 14:10:06 UTC

More information about netgsa at CRAN
Permanent link

Package MOCHA updated to version 1.0.1 with previous version 1.0.0 dated 2023-06-12

Title: Modeling for Single-Cell Open Chromatin Analysis
Description: A statistical framework and analysis tool for open chromatin analysis designed specifically for single cell ATAC-seq (Assay for Transposase-Accessible Chromatin) data, after cell type/cluster identification. These novel modules remove unwanted technical variation, identify open chromatin, robustly models repeated measures in single cell data, implement advanced statistical frameworks to model zero-inflation for differential and co-accessibility analyses, and integrate with existing databases and modules for downstream analyses to reveal biological insights. MOCHA provides a statistical foundation for complex downstream analysis to help advance the potential of single cell ATAC-seq for applied studies. Methods for zero-inflated statistics are as described in: Ghazanfar, S., Lin, Y., Su, X. et al. (2020) <doi:10.1038/s41592-020-0885-x>. Pimentel, Ronald Silva, "Kendall's Tau and Spearman's Rho for Zero-Inflated Data" (2009) <https://scholarworks.wmich.edu/dissertations/721/>.
Author: Samir Rachid Zaim [aut, ctb], Mark-Phillip Pebworth [aut, ctb], Imran McGrath [aut, cre], Lauren Okada [aut, ctb], Xiaojun Li [aut, ctb]
Maintainer: Imran McGrath <aifi.compbio.support@alleninstitute.org>

Diff between MOCHA versions 1.0.0 dated 2023-06-12 and 1.0.1 dated 2023-11-14

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 MOCHA-1.0.1/MOCHA/DESCRIPTION                                                  |   15 
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 MOCHA-1.0.1/MOCHA/NAMESPACE                                                    |    1 
 MOCHA-1.0.1/MOCHA/NEWS.md                                                      |    5 
 MOCHA-1.0.1/MOCHA/R/callOpenTiles.R                                            |   75 -
 MOCHA-1.0.1/MOCHA/R/singlePopulationSampleTileMatrix.R                         |    6 
 MOCHA-1.0.1/MOCHA/R/testCoAccessibility.R                                      |  146 +-
 MOCHA-1.0.1/MOCHA/README.md                                                    |   16 
 MOCHA-1.0.1/MOCHA/inst/doc/COVID-walkthrough.html                              |  320 ++--
 MOCHA-1.0.1/MOCHA/inst/doc/ImportingFromOtherSources.html                      |  718 +++++-----
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Package hal9001 updated to version 0.4.6 with previous version 0.4.3 dated 2022-02-09

Title: The Scalable Highly Adaptive Lasso
Description: A scalable implementation of the highly adaptive lasso algorithm, including routines for constructing sparse matrices of basis functions of the observed data, as well as a custom implementation of Lasso regression tailored to enhance efficiency when the matrix of predictors is composed exclusively of indicator functions. For ease of use and increased flexibility, the Lasso fitting routines invoke code from the 'glmnet' package by default. The highly adaptive lasso was first formulated and described by MJ van der Laan (2017) <doi:10.1515/ijb-2015-0097>, with practical demonstrations of its performance given by Benkeser and van der Laan (2016) <doi:10.1109/DSAA.2016.93>. This implementation of the highly adaptive lasso algorithm was described by Hejazi, Coyle, and van der Laan (2020) <doi:10.21105/joss.02526>.
Author: Jeremy Coyle [aut, cre] , Nima Hejazi [aut] , Rachael Phillips [aut] , Lars van der Laan [aut], David Benkeser [ctb] , Oleg Sofrygin [ctb], Weixin Cai [ctb] , Mark van der Laan [aut, cph, ths]
Maintainer: Jeremy Coyle <jeremyrcoyle@gmail.com>

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Package nlshelper (with last version 0.2) was removed from CRAN

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

2017-04-03 0.2

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Package RcmdrPlugin.TeachStat updated to version 1.1.3 with previous version 1.1.2 dated 2023-10-16

Title: R Commander Plugin for Teaching Statistical Methods
Description: R Commander plugin for teaching statistical methods. It adds a new menu for making easier the teaching of the main concepts about the main statistical methods.
Author: Tomas R. Cotos Yanez [aut] , Manuel A. Mosquera Rodriguez [aut, cre] , Ana Perez Gonzalez [aut] , Benigno Reguengo Lareo [aut]
Maintainer: Manuel A. Mosquera Rodriguez <mamrguez@uvigo.es>

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Package httr2 updated to version 1.0.0 with previous version 0.2.3 dated 2023-05-08

Title: Perform HTTP Requests and Process the Responses
Description: Tools for creating and modifying HTTP requests, then performing them and processing the results. 'httr2' is a modern re-imagining of 'httr' that uses a pipe-based interface and solves more of the problems that API wrapping packages face.
Author: Hadley Wickham [aut, cre], RStudio [cph, fnd], Maximilian Girlich [ctb]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package emstreeR updated to version 3.1.2 with previous version 3.0.0 dated 2022-03-21

Title: Tools for Fast Computing and Visualizing Euclidean Minimum Spanning Trees
Description: Fast and easily computes an Euclidean Minimum Spanning Tree (EMST) from data, relying on the R API for 'mlpack' - the C++ Machine Learning Library (Curtin et. al., 2013). 'emstreeR' uses the Dual-Tree Boruvka (March, Ram, Gray, 2010, <doi:10.1145/1835804.1835882>), which is theoretically and empirically the fastest algorithm for computing an EMST. This package also provides functions and an S3 method for readily visualizing Minimum Spanning Trees (MST) using either the style of the 'base', 'scatterplot3d', or 'ggplot2' libraries; and functions to export the MST output to shapefiles.
Author: Allan Quadros [aut, cre], Duncan Garmonsway [ctb]
Maintainer: Allan Quadros <allanvcq@gmail.com>

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Package refineR updated to version 1.6.1 with previous version 1.6.0 dated 2023-03-08

Title: Reference Interval Estimation using Real-World Data
Description: Indirect method for the estimation of reference intervals using Real-World Data ('RWD'). It takes routine measurements of diagnostic tests, containing pathological and non-pathological samples as input and uses sophisticated statistical methods to derive a model describing the distribution of the non-pathological samples. This distribution can then be used to derive reference intervals. Furthermore, the package offers functions for printing and plotting the results of the algorithm. See ?refineR for a more comprehensive description of the features. Version 1.0 of the algorithm is described in detail in 'Ammer et al. (2021)' <doi:10.1038/s41598-021-95301-2>. Additional guidance on the usage of the algorithm is given in 'Ammer et al. (2023)' <doi:10.1093/jalm/jfac101>.
Author: Tatjana Ammer [aut, cre], Christopher M Rank [aut], Andre Schuetzenmeister [aut]
Maintainer: Tatjana Ammer <tatjana.ammer@roche.com>

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Package igcop updated to version 1.0.2 with previous version 1.0.1 dated 2021-10-13

Title: Computational Tools for the IG and IGL Copula Families
Description: Compute distributional quantities for an Integrated Gamma (IG) or Integrated Gamma Limit (IGL) copula, such as a cdf and density. Compute corresponding conditional quantities such as the cdf and quantiles. Generate data from an IG or IGL copula. See the vignette for formulas, or for a derivation, see Coia, V (2017) "Forecasting of Nonlinear Extreme Quantiles Using Copula Models." PhD Dissertation, The University of British Columbia.
Author: Vincenzo Coia [aut, cre], Harry Joe [aut]
Maintainer: Vincenzo Coia <vincenzo.coia@gmail.com>

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Package BayesianFactorZoo updated to version 0.0.0.2 with previous version 0.0.0.1 dated 2023-11-02

Title: Bayesian Solutions for the Factor Zoo: We Just Ran Two Quadrillion Models
Description: Contains the functions to use the econometric methods in the paper Bryzgalova, Huang, and Julliard (2023) <doi:10.1111/jofi.13197>. In this package, we provide a novel Bayesian framework for analyzing linear asset pricing models: simple, robust, and applicable to high-dimensional problems. For a stand-alone model, we provide functions including BayesianFM() and BayesianSDF() to deliver reliable price of risk estimates for both tradable and nontradable factors. For competing factors and possibly nonnested models, we provide functions including continuous_ss_sdf(), continuous_ss_sdf_v2(), and dirac_ss_sdf_pvalue() to analyze high-dimensional models. If you use this package, please cite the paper. We are thankful to Yunan Ding and Jingtong Zhang for their research assistance. Any errors or omissions are the responsibility of the authors.
Author: Svetlana Bryzgalova [aut], Jiantao Huang [cre], Christian Julliard [aut]
Maintainer: Jiantao Huang <huangjt@hku.hk>

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Package Matrix updated to version 1.6-3 with previous version 1.6-2 dated 2023-11-07

Title: Sparse and Dense Matrix Classes and Methods
Description: A rich hierarchy of sparse and dense matrix classes, including general, symmetric, triangular, and diagonal matrices with numeric, logical, or pattern entries. Efficient methods for operating on such matrices, often wrapping the 'BLAS', 'LAPACK', and 'SuiteSparse' libraries.
Author: Douglas Bates [aut] , Martin Maechler [aut, cre] , Mikael Jagan [aut] , Timothy A. Davis [ctb] )), Jens Oehlschlaegel [ctb] ), Jason Riedy [ctb] and onenormest, Copyright: Regents of the University of California), R Core Team [ctb]
Maintainer: Martin Maechler <mmaechler+Matrix@gmail.com>

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Package BayesianReasoning updated to version 0.4.2 with previous version 0.4.1 dated 2022-01-07

Title: Plot Positive and Negative Predictive Values for Medical Tests
Description: Functions to plot and help understand positive and negative predictive values (PPV and NPV), and their relationship with sensitivity, specificity, and prevalence. See Akobeng, A.K. (2007) <doi:10.1111/j.1651-2227.2006.00180.x> for a theoretical overview of the technical concepts and Navarrete et al. (2015) for a practical explanation about the importance of their understanding <doi:10.3389/fpsyg.2015.01327>.
Author: Gorka Navarrete [aut, cre]
Maintainer: Gorka Navarrete <gorkang@gmail.com>

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Package BAwiR updated to version 1.3.1 with previous version 1.3 dated 2023-09-26

Title: Analysis of Basketball Data
Description: Collection of tools to work with European basketball data. Functions available are related to friendly web scraping, data management and visualization. Data were obtained from <https://www.euroleaguebasketball.net/euroleague/>, <https://www.euroleaguebasketball.net/eurocup/> and <https://www.acb.com/>, following the instructions of their respectives robots.txt files, when available. Box score data are available for the three leagues. Play-by-play data are also available for the Spanish league. Methods for analysis include a population pyramid, 2D plots, circular plots of players' percentiles, plots of players' monthly/yearly stats, team heatmaps, team shooting plots, team four factors plots, cross-tables with the results of regular season games, maps of nationalities, combinations of lineups, possessions-related variables, timeouts, performance by periods, personal fouls and offensive rebounds. Please see Vinue (2020) <doi:10.1089/big.2018.0124>.
Author: Guillermo Vinue
Maintainer: Guillermo Vinue <Guillermo.Vinue@uv.es>

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Package rolap updated to version 2.4.0 with previous version 2.3.0 dated 2023-10-16

Title: Obtaining Star Databases from Flat Tables
Description: Data in multidimensional systems is obtained from operational systems and is transformed to adapt it to the new structure. Frequently, the operations to be performed aim to transform a flat table into a ROLAP (Relational On-Line Analytical Processing) star database. The main objective of the package is to allow the definition of these transformations easily. The implementation of the multidimensional database obtained can be exported to work with multidimensional analysis tools on spreadsheets or relational databases.
Author: Jose Samos [aut, cre, cph]
Maintainer: Jose Samos <jsamos@ugr.es>

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Package rankICC updated to version 1.0.2 with previous version 1.0.1 dated 2023-01-24

Title: Rank Intraclass Correlation for Clustered Data
Description: Estimates the rank intraclass correlation coefficient (ICC) for clustered continuous and ordinal data. See Tu et al. (2023) <DOI:10.1002/sim.9864> for details.
Author: Shengxin Tu [aut, cre], Chun Li [aut], Donglin Zeng [aut], Bryan Shepherd [aut]
Maintainer: Shengxin Tu <shengxin.tu@vanderbilt.edu>

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Package PH1XBAR updated to version 0.11.1 with previous version 0.10.1 dated 2021-09-23

Title: Phase I Shewhart X-Bar Chart
Description: The purpose of 'PH1XBAR' is to build a Phase I Shewhart control chart for the basic Shewhart, the variance components and the ARMA models in R for subgrouped and individual data. More details can be found: Yao and Chakraborti (2020) <doi: 10.1002/qre.2793>, and Yao and Chakraborti (2021) <doi: 10.1080/08982112.2021.1878220>.
Author: Yuhui Yao [aut, cre], Subha Chakraborti [ctb], Tyler Thomas [ctb], Jason Parton [ctb], Xin Yang [ctb]
Maintainer: Yuhui Yao <yyao17@ua.edu>

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Package IsoriX updated to version 0.9.2 with previous version 0.9.1 dated 2023-09-25

Title: Isoscape Computation and Inference of Spatial Origins using Mixed Models
Description: Building isoscapes using mixed models and inferring the geographic origin of samples based on their isotopic ratios. This package is essentially a simplified interface to several other packages which implements a new statistical framework based on mixed models. It uses 'spaMM' for fitting and predicting isoscapes, and assigning an organism's origin depending on its isotopic ratio. 'IsoriX' also relies heavily on the package 'rasterVis' for plotting the maps produced with 'terra' using 'lattice'.
Author: Alexandre Courtiol [aut, cre] , Francois Rousset [aut] , Marie-Sophie Rohwaeder [aut], Stephanie Kramer-Schadt [aut]
Maintainer: Alexandre Courtiol <alexandre.courtiol@gmail.com>

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Package GeoModels updated to version 1.1.5 with previous version 1.1.4 dated 2023-10-21

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) simulation and inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Covariance functions for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. See the URL for the papers associ [...truncated...]
Author: Moreno Bevilacqua [aut, cre] , Victor Morales-Onate [aut] , Christian Caamano-Carrillo [aut]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

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Package auk updated to version 0.7.0 with previous version 0.6.0 dated 2022-10-29

Title: eBird Data Extraction and Processing in R
Description: Extract and process bird sightings records from eBird (<http://ebird.org>), an online tool for recording bird observations. Public access to the full eBird database is via the eBird Basic Dataset (EBD; see <http://ebird.org/ebird/data/download> for access), a downloadable text file. This package is an interface to AWK for extracting data from the EBD based on taxonomic, spatial, or temporal filters, to produce a manageable file size that can be imported into R.
Author: Matthew Strimas-Mackey [aut, cre] , Eliot Miller [aut], Wesley Hochachka [aut], Cornell Lab of Ornithology [cph]
Maintainer: Matthew Strimas-Mackey <mes335@cornell.edu>

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2022-07-01 0.6.1
2021-11-28 0.4.0
2021-06-23 0.3.0
2021-01-14 0.1.0

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Package periscope2 updated to version 0.1.4 with previous version 0.1.3 dated 2023-08-24

Title: Enterprise Streamlined 'shiny' Application Framework Using 'bs4Dash'
Description: A framework for building enterprise, scalable and UI-standardized 'shiny' applications. It brings enhanced features such as 'bootstrap' v4 <https://getbootstrap.com/docs/4.0/getting-started/introduction/>, additional and enhanced 'shiny' modules, customizable UI features, as well as an enhanced application file organization paradigm. This update allows developers to harness the ability to build powerful applications and enriches the 'shiny' developers' experience when building and maintaining applications.
Author: Mohammed Ali [aut, cre], Constance Brett [ctb], Aggregate Genius Inc [spn]
Maintainer: Mohammed Ali <mohammed@aggregate-genius.com>

Diff between periscope2 versions 0.1.3 dated 2023-08-24 and 0.1.4 dated 2023-11-14

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2021-11-23 1.1

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Package ggenealogy (with last version 1.0.1) was removed from CRAN

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

2020-03-04 1.0.1
2019-05-28 1.0.0
2019-05-23 0.4.0
2016-12-12 0.3.0
2016-07-03 0.2.0
2015-03-02 0.1.0

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Package powerplus (with last version 3.1) was removed from CRAN

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

2017-05-18 3.1
2016-08-18 3.0
2016-07-14 2.0
2016-02-24 1.0

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Package brr (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:

2015-09-07 1.0.0

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Package FlexDotPlot (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:

2022-04-04 0.2.2
2022-02-07 0.2.1

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Package EPGMr (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:

2020-05-05 1.0.0

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Package errorist updated to version 0.1.2 with previous version 0.1.1 dated 2023-03-05

Title: Automatically Search Errors or Warnings
Description: Provides environment hooks that obtain errors and warnings which occur during the execution of code to automatically search for solutions.
Author: James Balamuta [aut, cre, cph]
Maintainer: James Balamuta <balamut2@illinois.edu>

Diff between errorist versions 0.1.1 dated 2023-03-05 and 0.1.2 dated 2023-11-14

 DESCRIPTION                         |   11 ++++++-----
 MD5                                 |   16 ++++++++--------
 NEWS.md                             |   32 +++++++++++++++++++++++---------
 R/handlers.R                        |   13 +++++++++----
 README.md                           |    7 +++----
 build/vignette.rds                  |binary
 inst/doc/working-with-errorist.R    |    4 ++--
 inst/doc/working-with-errorist.html |   28 ++++++++++++++--------------
 man/errorist-package.Rd             |    5 +++--
 9 files changed, 68 insertions(+), 48 deletions(-)

More information about errorist at CRAN
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Package tablecompare updated to version 0.1.1 with previous version 0.1.0 dated 2022-06-21

Title: Compare Data Frames
Description: A toolbox for comparing two data frames. This package is defunct. I recommend you use the "versus" package instead.
Author: Ryan Dickerson [aut, cre]
Maintainer: Ryan Dickerson <fresh.tent5866@fastmail.com>

Diff between tablecompare versions 0.1.0 dated 2022-06-21 and 0.1.1 dated 2023-11-14

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 tablecompare-0.1.1/tablecompare/MD5                  |   20 +--
 tablecompare-0.1.1/tablecompare/NAMESPACE            |    9 +
 tablecompare-0.1.1/tablecompare/R/compare.R          |    5 
 tablecompare-0.1.1/tablecompare/R/draft_funs.R       |only
 tablecompare-0.1.1/tablecompare/R/internal-helpers.R |   11 +
 tablecompare-0.1.1/tablecompare/R/tablecompare.R     |    7 -
 tablecompare-0.1.1/tablecompare/README.md            |  125 -------------------
 tablecompare-0.1.1/tablecompare/man/tblcompare.Rd    |    6 
 10 files changed, 51 insertions(+), 145 deletions(-)

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Package scCustomize updated to version 2.0.0 with previous version 1.1.3 dated 2023-07-19

Title: Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing
Description: Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using 'R'. 'scCustomize' aims to provide 1) Customized visualizations for aid in ease of use and to create more aesthetic and functional visuals. 2) Improve speed/reproducibility of common tasks/pieces of code in scRNA-seq analysis with a single or group of functions. For citation please use: Marsh SE (2021) "Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing" <doi:10.5281/zenodo.5706430>.
Author: Samuel Marsh [aut, cre] , Ming Tang [ctb], Velina Kozareva [ctb], Lucas Graybuck [ctb]
Maintainer: Samuel Marsh <samuel.marsh@childrens.harvard.edu>

Diff between scCustomize versions 1.1.3 dated 2023-07-19 and 2.0.0 dated 2023-11-14

 DESCRIPTION                           |   18 
 MD5                                   |  149 ++---
 NAMESPACE                             |   16 
 NEWS.md                               |   62 ++
 R/Color_Palettes.R                    |   24 
 R/Data.R                              |   53 +
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 man/QC_Plots_Genes.Rd                 |    3 
 man/QC_Plots_Mito.Rd                  |    3 
 man/QC_Plots_UMIs.Rd                  |    3 
 man/Read_Metrics_10X.Rd               |    3 
 man/Seq_QC_Plot_Alignment_Combined.Rd |    3 
 man/Seq_QC_Plot_Antisense.Rd          |    3 
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 man/Seq_QC_Plot_Exonic.Rd             |    3 
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 man/Seq_QC_Plot_Intergenic.Rd         |    3 
 man/Seq_QC_Plot_Intronic.Rd           |    3 
 man/Seq_QC_Plot_Number_Cells.Rd       |    3 
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 man/Seq_QC_Plot_Saturation.Rd         |    3 
 man/Seq_QC_Plot_Total_Genes.Rd        |    3 
 man/Seq_QC_Plot_Transcriptome.Rd      |    3 
 man/Seq_QC_Plot_UMIs.Rd               |    3 
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 man/VariableFeaturePlot_scCustom.Rd   |    4 
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 man/scCustomize_Palette.Rd            |    9 
 81 files changed, 3648 insertions(+), 945 deletions(-)

More information about scCustomize at CRAN
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Package autoReg updated to version 0.3.3 with previous version 0.3.2 dated 2023-04-11

Title: Automatic Linear and Logistic Regression and Survival Analysis
Description: Make summary tables for descriptive statistics and select explanatory variables automatically in various regression models. Support linear models, generalized linear models and cox-proportional hazard models. Generate publication-ready tables summarizing result of regression analysis and plots. The tables and plots can be exported in "HTML", "pdf('LaTex')", "docx('MS Word')" and "pptx('MS Powerpoint')" documents.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

Diff between autoReg versions 0.3.2 dated 2023-04-11 and 0.3.3 dated 2023-11-14

 DESCRIPTION                                 |    6 
 MD5                                         |   33 +-
 NEWS                                        |    7 
 R/expectedPlot.R                            |   19 -
 R/loglogplot.R                              |    9 
 build/vignette.rds                          |binary
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 inst/doc/Bootstrap_Prediction.R             |    2 
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 inst/doc/Getting_started.R                  |    4 
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 inst/doc/Statiastical_test_in_gaze.R        |    2 
 inst/doc/Statiastical_test_in_gaze.html     |  452 ++++++++++++++--------------
 inst/doc/Survival.R                         |    6 
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 man/loglogplot.Rd                           |    1 
 18 files changed, 716 insertions(+), 699 deletions(-)

More information about autoReg at CRAN
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