Mon, 13 Nov 2023

Package orders updated to version 0.1.8 with previous version 0.1.7 dated 2023-06-26

Title: Sampling from k-th Order Statistics of New Families of Distributions
Description: Set of tools to generate samples of k-th order statistics and others quantities of interest from new families of distributions. The main references for this package are: C. Kleiber and S. Kotz (2003) Statistical size distributions in economics and actuarial sciences; Gentle, J. (2009), Computational Statistics, Springer-Verlag; Naradajah, S. and Rocha, R. (2016), <DOI:10.18637/jss.v069.i10> and Stasinopoulos, M. and Rigby, R. (2015), <DOI:10.1111/j.1467-9876.2005.00510.x>. The families of distributions are: Benini distributions, Burr distributions, Dagum distributions, Feller-Pareto distributions, Generalized Pareto distributions, Inverse Pareto distributions, The Inverse Paralogistic distributions, Marshall-Olkin G distributions, exponentiated G distributions, beta G distributions, gamma G distributions, Kumaraswamy G distributions, generalized beta G distributions, beta extended G distributions, gamma G distributions, gamma uniform G distributions, beta exponential G dist [...truncated...]
Author: Carlos Alberto Cardozo Delgado
Maintainer: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>

Diff between orders versions 0.1.7 dated 2023-06-26 and 0.1.8 dated 2023-11-13

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Package binGroup2 updated to version 1.3.1 with previous version 1.2.4 dated 2022-05-25

Title: Identification and Estimation using Group Testing
Description: Methods for the group testing identification problem: 1) Operating characteristics (e.g., expected number of tests) for commonly used hierarchical and array-based algorithms, and 2) Optimal testing configurations for these same algorithms. Methods for the group testing estimation problem: 1) Estimation and inference procedures for an overall prevalence, and 2) Regression modeling for commonly used hierarchical and array-based algorithms.
Author: Brianna Hitt [aut, cre] , Christopher Bilder [aut] , Frank Schaarschmidt [aut] , Brad Biggerstaff [aut] , Christopher McMahan [aut] , Joshua Tebbs [aut] , Boan Zhang [ctb], Michael Black [ctb], Peijie Hou [ctb], Peng Chen [ctb], Minh Nguyen [ctb]
Maintainer: Brianna Hitt <brianna.hitt@afacademy.af.edu>

Diff between binGroup2 versions 1.2.4 dated 2022-05-25 and 1.3.1 dated 2023-11-13

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Package pubh updated to version 1.3.1 with previous version 1.2.7 dated 2022-04-04

Title: A Toolbox for Public Health and Epidemiology
Description: A toolbox for making R functions and capabilities more accessible to students and professionals from Epidemiology and Public Health related disciplines. Includes a function to report coefficients and confidence intervals from models using robust standard errors (when available), functions that expand 'ggplot2' plots and functions relevant for introductory papers in Epidemiology or Public Health. Please note that use of the provided data sets is for educational purposes only.
Author: Josie Athens [aut, cre], Frank Harell [ctb], John Fox [ctb], R-Core [ctb]
Maintainer: Josie Athens <josie.athens@gmail.com>

Diff between pubh versions 1.2.7 dated 2022-04-04 and 1.3.1 dated 2023-11-13

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Permanent link

Package mpwR updated to version 0.1.5 with previous version 0.1.4 dated 2023-05-05

Title: Standardized Comparison of Workflows in Mass Spectrometry-Based Bottom-Up Proteomics
Description: Useful functions to analyze proteomic workflows including number of identifications, data completeness, missed cleavages, quantitative and retention time precision etc. Various software outputs are supported such as 'ProteomeDiscoverer', 'Spectronaut', 'DIA-NN' and 'MaxQuant'.
Author: Oliver Kardell [aut, cre]
Maintainer: Oliver Kardell <Okdll@gmx.net>

Diff between mpwR versions 0.1.4 dated 2023-05-05 and 0.1.5 dated 2023-11-13

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Package IncidencePrevalence updated to version 0.5.2 with previous version 0.5.0 dated 2023-10-18

Title: Estimate Incidence and Prevalence using the OMOP Common Data Model
Description: Calculate incidence and prevalence using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Incidence and prevalence can be estimated for the total population in a database or for a stratification cohort.
Author: Edward Burn [aut, cre] , Berta Raventos [aut] , Marti Catala [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Ger Inberg [ctb] , Kim Lopez [ctb]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

Diff between IncidencePrevalence versions 0.5.0 dated 2023-10-18 and 0.5.2 dated 2023-11-13

 DESCRIPTION                                           |    6 
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Package wildlifeDI updated to version 0.5.1 with previous version 0.5.0 dated 2022-09-30

Title: Calculate Indices of Dynamic Interaction for Wildlife Tracking Data
Description: Dynamic interaction refers to spatial-temporal associations in the movements of two (or more) animals. This package provides tools for calculating a suite of indices used for quantifying dynamic interaction with wildlife telemetry data. For more information on each of the methods employed see the references within. The package (as of version >= 0.3) also has new tools for automating contact analysis in large tracking datasets. The package draws heavily on the classes and methods developed in the 'adehabitat' packages.
Author: Jed Long [aut, cre]
Maintainer: Jed Long <jed.long@uwo.ca>

Diff between wildlifeDI versions 0.5.0 dated 2022-09-30 and 0.5.1 dated 2023-11-13

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Package timeplyr updated to version 0.3.0 with previous version 0.2.1 dated 2023-10-31

Title: Fast Tidy Tools for Date and Date-Time Manipulation
Description: A set of fast tidy functions for wrangling, completing and summarising date and date-time data. It combines 'tidyverse' syntax with the efficiency of 'data.table' and speed of 'collapse'.
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

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Package stepR updated to version 2.1-9 with previous version 2.1-8 dated 2023-08-18

Title: Multiscale Change-Point Inference
Description: Allows fitting of step-functions to univariate serial data where neither the number of jumps nor their positions is known by implementing the multiscale regression estimators SMUCE, simulataneous multiscale changepoint estimator, (K. Frick, A. Munk and H. Sieling, 2014) <doi:10.1111/rssb.12047> and HSMUCE, heterogeneous SMUCE, (F. Pein, H. Sieling and A. Munk, 2017) <doi:10.1111/rssb.12202>. In addition, confidence intervals for the change-point locations and bands for the unknown signal can be obtained.
Author: Pein Florian [aut, cre], Thomas Hotz [aut], Hannes Sieling [aut], Timo Aspelmeier [ctb]
Maintainer: Pein Florian <f.pein@lancaster.ac.uk>

Diff between stepR versions 2.1-8 dated 2023-08-18 and 2.1-9 dated 2023-11-13

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Package leaflet updated to version 2.2.1 with previous version 2.2.0 dated 2023-08-31

Title: Create Interactive Web Maps with the JavaScript 'Leaflet' Library
Description: Create and customize interactive maps using the 'Leaflet' JavaScript library and the 'htmlwidgets' package. These maps can be used directly from the R console, from 'RStudio', in Shiny applications and R Markdown documents.
Author: Joe Cheng [aut, cre], Barret Schloerke [aut] , Bhaskar Karambelkar [aut], Yihui Xie [aut], Hadley Wickham [ctb], Kenton Russell [ctb], Kent Johnson [ctb], Vladimir Agafonkin [ctb, cph] , CloudMade [cph] , Leaflet contributors [ctb] , Brandon Copeland [...truncated...]
Maintainer: Joe Cheng <joe@posit.co>

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Package PatientProfiles updated to version 0.5.0 with previous version 0.4.0 dated 2023-10-06

Title: Identify Characteristics of Patients in the OMOP Common Data Model
Description: Identify the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Mike Du [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Nuria Mercade-Besora [ctb] , Xintong Li [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package hstats updated to version 1.1.0 with previous version 1.0.0 dated 2023-10-21

Title: Interaction Statistics
Description: Fast, model-agnostic implementation of different H-statistics introduced by Jerome H. Friedman and Bogdan E. Popescu (2008) <doi:10.1214/07-AOAS148>. These statistics quantify interaction strength per feature, feature pair, and feature triple. The package supports multi-output predictions and can account for case weights. In addition, several variants of the original statistics are provided. The shape of the interactions can be explored through partial dependence plots or individual conditional expectation plots. 'DALEX' explainers, meta learners ('mlr3', 'tidymodels', 'caret') and most other models work out-of-the-box.
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between hstats versions 1.0.0 dated 2023-10-21 and 1.1.0 dated 2023-11-13

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More information about hstats at CRAN
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New package tidysdm with initial version 0.9.2
Package: tidysdm
Title: Species Distribution Models with Tidymodels
Version: 0.9.2
Description: Fit species distribution models (SDMs) using the 'tidymodels' framework, which provides a standardised interface to define models and process their outputs. 'tidysdm' expands 'tidymodels' by providing methods for spatial objects, as well as a number of specialised functions to process presences and pseudoabsences for contemporary and palaeo datasets. The full functionalities of the package are described in Leonardi et al. (2023) <doi:10.1101/2023.07.24.550358>.
License: AGPL (>= 3)
Encoding: UTF-8
Language: en-GB
URL: https://github.com/EvolEcolGroup/tidysdm, https://evolecolgroup.github.io/tidysdm/
BugReports: https://github.com/EvolEcolGroup/tidysdm/issues
Depends: tidymodels, spatialsample, R (>= 3.50)
Imports: dials, DALEX, DALEXtra, dplyr, ggplot2, lubridate, magrittr, maxnet, parsnip, patchwork, recipes, rsample, rlang (>= 1.0.0), stats, sf, terra, tibble, tune, workflows, workflowsets, yardstick
Suggests: blockCV, doParallel, earth, kernlab, knitr, overlapping, pastclim (>= 2.0.0), ranger, readr, rmarkdown, spelling, stacks, testthat (>= 3.0.0), tidyterra, xgboost, V8
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2023-11-12 20:38:19 UTC; andrea
Author: Michela Leonardi [aut], Margherita Colucci [aut], Andrea Manica [aut, cre]
Maintainer: Andrea Manica <am315@cam.ac.uk>
Repository: CRAN
Date/Publication: 2023-11-13 17:30:03 UTC

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Package r2dii.data updated to version 0.4.1 with previous version 0.4.0 dated 2023-10-17

Title: Datasets to Measure the Alignment of Corporate Loan Books with Climate Goals
Description: These datasets support the implementation in R of the software 'PACTA' (Paris Agreement Capital Transition Assessment), which is a free tool that calculates the alignment between corporate lending portfolios and climate scenarios (<https://www.transitionmonitor.com/>). Financial institutions use 'PACTA' to study how their capital allocation decisions align with climate change mitigation goals. Because both financial institutions and market data providers keep their data private, this package provides fake, public data to enable the development and use of 'PACTA' in R.
Author: Alex Axthelm [aut, cre, dtc] , Jackson Hoffart [aut, ctr, dtc] , Mauro Lepore [aut, ctr] , Rocky Mountain Institute [cph, fnd]
Maintainer: Alex Axthelm <aaxthelm@rmi.org>

Diff between r2dii.data versions 0.4.0 dated 2023-10-17 and 0.4.1 dated 2023-11-13

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Package PReMiuM updated to version 3.2.11 with previous version 3.2.10 dated 2023-08-26

Title: Dirichlet Process Bayesian Clustering, Profile Regression
Description: Bayesian clustering using a Dirichlet process mixture model. This model is an alternative to regression models, non-parametrically linking a response vector to covariate data through cluster membership. The package allows Bernoulli, Binomial, Poisson, Normal, survival and categorical response, as well as Normal and discrete covariates. It also allows for fixed effects in the response model, where a spatial CAR (conditional autoregressive) term can be also included. Additionally, predictions may be made for the response, and missing values for the covariates are handled. Several samplers and label switching moves are implemented along with diagnostic tools to assess convergence. A number of R functions for post-processing of the output are also provided. In addition to fitting mixtures, it may additionally be of interest to determine which covariates actively drive the mixture components. This is implemented in the package as variable selection. The main reference for the package is Liv [...truncated...]
Author: David I. Hastie, Silvia Liverani <liveranis@gmail.com> and Sylvia Richardson with contributions from Aurore J. Lavigne, Lucy Leigh, Lamiae Azizi, Xi Liu, Ruizhu Huang, Austin Gratton, Wei Jing
Maintainer: Silvia Liverani <liveranis@gmail.com>

Diff between PReMiuM versions 3.2.10 dated 2023-08-26 and 3.2.11 dated 2023-11-13

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New package PAICE with initial version 1.0.1
Package: PAICE
Title: Phylogeographic Analysis of Island Colonization Events
Version: 1.0.1
Depends: R (>= 3.6.0)
Suggests: spelling, testthat
Description: Estimation of the number of colonization events between islands of the same archipelago for a species. It uses rarefaction curves to control for both field and genetic sample sizes as it was described in Coello et al. (2022) <doi:10.1111/jbi.14341>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Date: 2023-11-12
URL: <https://github.com/PAICEcode/PAICE>
BugReports: https://github.com/PAICEcode/PAICE/issues
NeedsCompilation: no
Packaged: 2023-11-12 11:55:24 UTC; Alberto
Language: en-US
Author: Alberto J. Coello [aut, cre] , Mario Fernandez-Mazuecos [aut] , Ruben H. Heleno [aut] , Pablo Vargas [aut]
Maintainer: Alberto J. Coello <albjcoello@gmail.com>
Repository: CRAN
Date/Publication: 2023-11-13 17:33:29 UTC

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New package OVL.CI with initial version 0.1.0
Package: OVL.CI
Title: Inference on the Overlap Coefficient: The Binormal Approach and Alternatives
Version: 0.1.0
Maintainer: Alba M. Franco-Pereira <albfranc@ucm.es>
Description: Provides functions to construct confidence intervals for the Overlap Coefficient (OVL). OVL measures the similarity between two distributions through the overlapping area of their distribution functions. Given its intuitive description and ease of visual representation by the straightforward depiction of the amount of overlap between the two corresponding histograms based on samples of measurements from each one of the two distributions, the development of accurate methods for confidence interval construction can be useful for applied researchers. Implements methods based on the work of Franco-Pereira, A.M., Nakas, C.T., Reiser, B., and Pardo, M.C. (2021) <doi:10.1177/09622802211046386>.
License: GPL-2
Encoding: UTF-8
Language: en-US
LazyData: true
Imports: ks
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-11-12 16:53:32 UTC; Alba
Author: Alba M. Franco-Pereira [aut, cre, cph], Christos T. Nakas [aut], Benjamin Reiser [aut], M.Carmen Pardo [aut]
Repository: CRAN
Date/Publication: 2023-11-13 17:43:18 UTC

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Package NPCox updated to version 1.2 with previous version 1.1 dated 2022-12-08

Title: Nonparametric and Semiparametric Proportional Hazards Model
Description: An estimation procedure for the analysis of nonparametric proportional hazards model (e.g. h(t) = h0(t)exp(b(t)'Z)), providing estimation of b(t) and its pointwise standard errors, and semiparametric proportional hazards model (e.g. h(t) = h0(t)exp(b(t)'Z1 + c*Z2)), providing estimation of b(t), c and their standard errors. More details can be found in Lu Tian et al. (2005) <doi:10.1198/016214504000000845>.
Author: Qi Yang [aut, cre], Kuan Yang [aut], Xiaoxuan Liu [ctb], Xinyuan Song [ctb]
Maintainer: Qi Yang <qiyang-sdu@outlook.com>

Diff between NPCox versions 1.1 dated 2022-12-08 and 1.2 dated 2023-11-13

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New package NUETON with initial version 0.1.0
Package: NUETON
Title: Nitrogen Use Efficiency Toolkit on Numerics
Version: 0.1.0
Maintainer: Shubham Love <shubhamlove2101@gmail.com>
Description: Comprehensive R package designed to facilitate the calculation of Nitrogen Use Efficiency (NUE) indicators using experimentally derived data. The package incorporates 23 parameters categorized into six fertilizer-based, four plant-based, three soil-based, three isotope-based, two ecology-based, and four system-based indicators, providing a versatile platform for NUE assessment. As of the current version, 'NUETON' serves as a starting point for users to compute NUE indicators from their experimental data. Future updates are planned to enhance the package's capabilities, including robust data visualization tools and error margin consideration in calculations. Additionally, statistical methods will be integrated to ensure the accuracy and reliability of the calculated indicators. All formulae used in 'NUETON' are thoroughly referenced within the source code, and the package is released as open source software. Users are encouraged to provide feedback and contribute to the improvement of t [...truncated...]
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-11-12 17:31:49 UTC; itssh
Author: Shubham Love [aut, cre]
Repository: CRAN
Date/Publication: 2023-11-13 17:53:24 UTC

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New package MTAFT with initial version 0.1.0
Package: MTAFT
Title: Data-Driven Estimation for Multi-Threshold Accelerate Failure Time Model
Version: 0.1.0
Date: 2023-11-10
Maintainer: Chuang WAN <wanchuang@nankai.edu.cn>
Description: Developed a data-driven estimation framework for the multi-threshold accelerate failure time (MTAFT) model. The MTAFT model features different linear forms in different subdomains, and one of the major challenges is determining the number of threshold effects. The package introduces a data-driven approach that utilizes a Schwarz' information criterion, which demonstrates consistency under mild conditions. Additionally, a cross-validation (CV) criterion with an order-preserved sample-splitting scheme is proposed to achieve consistent estimation, without the need for additional parameters. The package establishes the asymptotic properties of the parameter estimates and includes an efficient score-type test to examine the existence of threshold effects. The methodologies are supported by numerical experiments and theoretical results, showcasing their reliable performance in finite-sample cases.
License: GPL-3
Depends: R (>= 3.5.0)
Suggests: MASS, knitr, rmarkdown
Encoding: UTF-8
Imports: graphics, methods, stats, grpreg
NeedsCompilation: no
Packaged: 2023-11-12 09:23:42 UTC; zenghao
Author: Chuang WAN [aut, cre], Hao ZENG [aut], Wei ZHONG [aut], Changliang ZOU [aut]
Repository: CRAN
Date/Publication: 2023-11-13 17:43:21 UTC

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Package MazamaCoreUtils updated to version 0.5.1 with previous version 0.5.0 dated 2023-10-28

Title: Utility Functions for Production R Code
Description: A suite of utility functions providing functionality commonly needed for production level projects such as logging, error handling, cache management and date-time parsing. Functions for date-time parsing and formatting require that time zones be specified explicitly, avoiding a common source of error when working with environmental time series.
Author: Jonathan Callahan [aut, cre], Eli Grosman [ctb], Spencer Pease [ctb], Thomas Bergamaschi [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between MazamaCoreUtils versions 0.5.0 dated 2023-10-28 and 0.5.1 dated 2023-11-13

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Package graphicalExtremes updated to version 0.3.0 with previous version 0.2.0 dated 2022-12-02

Title: Statistical Methodology for Graphical Extreme Value Models
Description: Statistical methodology for sparse multivariate extreme value models. Methods are provided for exact simulation and statistical inference for multivariate Pareto distributions on graphical structures as described in the paper 'Graphical Models for Extremes' by Engelke and Hitz (2020) <doi:10.1111/rssb.12355>.
Author: Sebastian Engelke [aut, cre], Adrien S. Hitz [aut], Nicola Gnecco [aut], Manuel Hentschel [aut]
Maintainer: Sebastian Engelke <sebastian.engelke@unige.ch>

Diff between graphicalExtremes versions 0.2.0 dated 2022-12-02 and 0.3.0 dated 2023-11-13

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Package constructive updated to version 0.2.0 with previous version 0.1.0 dated 2023-06-06

Title: Display Idiomatic Code to Construct Most R Objects
Description: Prints code that can be used to recreate R objects. In a sense it is similar to 'base::dput()' or 'base::deparse()' but 'constructive' strives to use idiomatic constructors.
Author: Antoine Fabri [aut, cre]
Maintainer: Antoine Fabri <antoine.fabri@gmail.com>

Diff between constructive versions 0.1.0 dated 2023-06-06 and 0.2.0 dated 2023-11-13

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Package f1dataR updated to version 1.4.1 with previous version 1.4.0 dated 2023-10-02

Title: Access Formula 1 Data
Description: Obtain Formula 1 data via the 'Ergast API' <https://ergast.com/mrd/> and the unofficial API <https://www.formula1.com/en/f1-live.html> via the 'fastf1' 'Python' library <https://docs.fastf1.dev/>.
Author: Santiago Casanova [aut, cre, cph], Philip Bulsink [aut]
Maintainer: Santiago Casanova <santiago.casanova@yahoo.com>

Diff between f1dataR versions 1.4.0 dated 2023-10-02 and 1.4.1 dated 2023-11-13

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Package MSigSeg updated to version 0.2.0 with previous version 0.1.3 dated 2023-06-07

Title: Multiple SIGnal SEGmentation
Description: Traditional methods typically detect breakpoints from individual signals, which means that when applied separately to multiple signals, the breakpoints are not aligned. However, this package implements a common breakpoint detection approach for multiple piecewise constant signals, resulting in increased detection sensitivity and specificity. By employing various techniques, optimal performance is ensured, and computation is accelerated. We hope that this package will be beneficial for researchers in signal processing, bioinformatics, economy, and other related fields. The segmentation(), lambda_estimator() functions are the main functions of this package.
Author: Xuanyu Liu [aut, cre], Junbo Duan [aut]
Maintainer: Xuanyu Liu <lxy382198251@stu.xjtu.edu.cn>

Diff between MSigSeg versions 0.1.3 dated 2023-06-07 and 0.2.0 dated 2023-11-13

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New package cookiemonster with initial version 0.0.2
Package: cookiemonster
Title: Your Friendly Solution to Managing Browser Cookies
Version: 0.0.2
Description: A convenient tool to store and format browser cookies and use them in 'HTTP' requests (for example, through 'httr2', 'httr' or 'curl').
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Suggests: curl, httr, httr2, jsonlite, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: cli, openssl, rappdirs, stringi, tibble, urltools, vctrs
Language: en-GB
NeedsCompilation: no
Packaged: 2023-11-13 08:20:33 UTC; johannes
Author: Johannes B. Gruber [aut, cre]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>
Repository: CRAN
Date/Publication: 2023-11-13 15:13:20 UTC

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Package CAMML updated to version 1.0.0 with previous version 0.2.3 dated 2022-10-10

Title: Cell-Typing using Variance Adjusted Mahalanobis Distances with Multi-Labeling
Description: Creates multi-label cell-types for single-cell RNA-sequencing data based on weighted VAM scoring of cell-type specific gene sets. Schiebout, Frost (2022) <https://psb.stanford.edu/psb-online/proceedings/psb22/schiebout.pdf>.
Author: H. Robert Frost [aut], Courtney Schiebout [aut, cre]
Maintainer: Courtney Schiebout <courtney.t.schiebout.gr@dartmouth.edu>

Diff between CAMML versions 0.2.3 dated 2022-10-10 and 1.0.0 dated 2023-11-13

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Package stringi updated to version 1.8.1 with previous version 1.7.12 dated 2023-01-11

Title: Fast and Portable Character String Processing Facilities
Description: A collection of character string/text/natural language processing tools for pattern searching (e.g., with 'Java'-like regular expressions or the 'Unicode' collation algorithm), random string generation, case mapping, string transliteration, concatenation, sorting, padding, wrapping, Unicode normalisation, date-time formatting and parsing, and many more. They are fast, consistent, convenient, and - thanks to 'ICU' (International Components for Unicode) - portable across all locales and platforms. Documentation about 'stringi' is provided via its website at <https://stringi.gagolewski.com/> and the paper by Gagolewski (2022, <doi:10.18637/jss.v103.i02>).
Author: Marek Gagolewski [aut, cre, cph] , Bartek Tartanus [ctb], and others ; Unicode, Inc. and others
Maintainer: Marek Gagolewski <marek@gagolewski.com>

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 stringi-1.8.1/stringi/src/stri_intvec.h                        |    2 
 stringi-1.8.1/stringi/src/stri_join.cpp                        |    2 
 stringi-1.8.1/stringi/src/stri_length.cpp                      |    2 
 stringi-1.8.1/stringi/src/stri_macros.h                        |    2 
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 stringi-1.8.1/stringi/src/stri_pad.cpp                         |    2 
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 stringi-1.8.1/stringi/src/stri_random.cpp                      |    2 
 stringi-1.8.1/stringi/src/stri_reverse.cpp                     |    2 
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 stringi-1.8.1/stringi/src/stri_search_fixed_subset.cpp         |    2 
 stringi-1.8.1/stringi/src/stri_search_in.cpp                   |    2 
 stringi-1.8.1/stringi/src/stri_search_other_split.cpp          |    2 
 stringi-1.8.1/stringi/src/stri_search_regex_count.cpp          |    2 
 stringi-1.8.1/stringi/src/stri_search_regex_detect.cpp         |    2 
 stringi-1.8.1/stringi/src/stri_search_regex_extract.cpp        |    2 
 stringi-1.8.1/stringi/src/stri_search_regex_locate.cpp         |    2 
 stringi-1.8.1/stringi/src/stri_search_regex_match.cpp          |    2 
 stringi-1.8.1/stringi/src/stri_search_regex_replace.cpp        |    2 
 stringi-1.8.1/stringi/src/stri_search_regex_split.cpp          |    2 
 stringi-1.8.1/stringi/src/stri_search_regex_subset.cpp         |    2 
 stringi-1.8.1/stringi/src/stri_sort.cpp                        |    2 
 stringi-1.8.1/stringi/src/stri_sprintf.cpp                     |    2 
 stringi-1.8.1/stringi/src/stri_stats.cpp                       |    2 
 stringi-1.8.1/stringi/src/stri_string8.cpp                     |    2 
 stringi-1.8.1/stringi/src/stri_string8.h                       |    2 
 stringi-1.8.1/stringi/src/stri_string8buf.h                    |    2 
 stringi-1.8.1/stringi/src/stri_stringi.cpp                     |   19 
 stringi-1.8.1/stringi/src/stri_stringi.h                       |    6 
 stringi-1.8.1/stringi/src/stri_sub.cpp                         |    2 
 stringi-1.8.1/stringi/src/stri_test.cpp                        |    2 
 stringi-1.8.1/stringi/src/stri_time_calendar.cpp               |   73 
 stringi-1.8.1/stringi/src/stri_time_format.cpp                 |   37 
 stringi-1.8.1/stringi/src/stri_time_symbols.cpp                |   17 
 stringi-1.8.1/stringi/src/stri_time_zone.cpp                   |   15 
 stringi-1.8.1/stringi/src/stri_trans_casemap.cpp               |   16 
 stringi-1.8.1/stringi/src/stri_trans_normalization.cpp         |    2 
 stringi-1.8.1/stringi/src/stri_trans_other.cpp                 |    2 
 stringi-1.8.1/stringi/src/stri_trans_transliterate.cpp         |    2 
 stringi-1.8.1/stringi/src/stri_ucnv.cpp                        |    2 
 stringi-1.8.1/stringi/src/stri_ucnv.h                          |    2 
 stringi-1.8.1/stringi/src/stri_uloc.cpp                        |    8 
 stringi-1.8.1/stringi/src/stri_utils.cpp                       |    2 
 stringi-1.8.1/stringi/src/stri_wrap.cpp                        |   12 
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Package RcmdrPlugin.RiskDemo updated to version 3.1 with previous version 3.0 dated 2021-04-06

Title: R Commander Plug-in for Risk Demonstration
Description: R Commander plug-in to demonstrate various actuarial and financial risks. It includes valuation of bonds and stocks, portfolio optimization, classical ruin theory, demography and epidemic.
Author: Arto Luoma
Maintainer: Arto Luoma <arto.luoma@wippies.com>

Diff between RcmdrPlugin.RiskDemo versions 3.0 dated 2021-04-06 and 3.1 dated 2023-11-13

 ChangeLog               |    8 ++++++-
 DESCRIPTION             |    8 +++----
 MD5                     |   52 ++++++++++++++++++++++++------------------------
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 27 files changed, 61 insertions(+), 55 deletions(-)

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Package MSCMT updated to version 1.3.8 with previous version 1.3.7 dated 2023-04-17

Title: Multivariate Synthetic Control Method Using Time Series
Description: Three generalizations of the synthetic control method (which has already an implementation in package 'Synth') are implemented: first, 'MSCMT' allows for using multiple outcome variables, second, time series can be supplied as economic predictors, and third, a well-defined cross-validation approach can be used. Much effort has been taken to make the implementation as stable as possible (including edge cases) without losing computational efficiency. A detailed description of the main algorithms is given in Becker and Klößner (2018) <doi:10.1016/j.ecosta.2017.08.002>.
Author: Martin Becker [aut, cre] , Stefan Kloessner [aut], Karline Soetaert [com], Jack Dongarra [cph], R.J. Hanson [cph], K.H. Haskell [cph], Cleve Moler [cph], LAPACK authors [cph]
Maintainer: Martin Becker <martin.becker@mx.uni-saarland.de>

Diff between MSCMT versions 1.3.7 dated 2023-04-17 and 1.3.8 dated 2023-11-13

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 MSCMT-1.3.8/MSCMT/NEWS                           |   12 ++++++++
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 13 files changed, 49 insertions(+), 51 deletions(-)

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Package SQLove updated to version 0.0.4 with previous version 0.0.3 dated 2023-11-10

Title: Execute 'SQL' Scripts in 'R' Containing Multiple Queries
Description: The nature of working with structured query language ('SQL') scripts efficiently often requires the creation of temporary tables and there are few clean and simple 'R' 'SQL' execution approaches that allow you to complete this kind of work with the 'R' environment. This package seeks to give 'SQL' implementations in 'R' a little love by deploying functions that allow you to deploy complex 'SQL' scripts within a typical 'R' workflow.
Author: Kerns Sam [aut, cre]
Maintainer: Kerns Sam <samwkerns@gmail.com>

Diff between SQLove versions 0.0.3 dated 2023-11-10 and 0.0.4 dated 2023-11-13

 DESCRIPTION         |    6 +++---
 MD5                 |    4 ++--
 R/dbGetMultiQuery.R |    4 ++--
 3 files changed, 7 insertions(+), 7 deletions(-)

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New package nsRFA with initial version 0.7-16
Package: nsRFA
Version: 0.7-16
Date: 2023-11-13
Title: Non-Supervised Regional Frequency Analysis
Depends: R (>= 3.0.0), stats, graphics, methods
Description: A collection of statistical tools for objective (non-supervised) applications of the Regional Frequency Analysis methods in hydrology. The package refers to the index-value method and, more precisely, helps the hydrologist to: (1) regionalize the index-value; (2) form homogeneous regions with similar growth curves; (3) fit distribution functions to the empirical regional growth curves. Most of the methods are those described in the Flood Estimation Handbook (Centre for Ecology & Hydrology, 1999, ISBN:9781906698003). Homogeneity tests from Hosking and Wallis (1993) <doi:10.1029/92WR01980> and Viglione et al. (2007) <doi:10.1029/2006WR005095> are available.
License: GPL (>= 2)
Copyright: The fortran routines for the function HW.original are from Jonathan R. M. Hosking and are available at the url http://www.research.ibm.com/people/h/hosking/lmoments.html. The functions `MLlaio2004.R', `GOFlaio2004.R' and `MSClaio2008.R' are derived from original Francesco Laio Matlab code (non published material). The fortran routines for the function 'bestlm' are from Alan Miller and were obtained from his R package 'leaps'.
NeedsCompilation: yes
Packaged: 2023-11-13 08:22:36 UTC; alviglio
Author: Alberto Viglione [aut, cre], Jonathan R. M. Hosking [ctb], Francesco Laio [ctb], Alan Miller [ctb], Eric Gaume [ctb], Olivier Payrastre [ctb], Jose Luis Salinas [ctb], Chi Cong N'guyen [ctb], Karine Halbert [ctb]
Maintainer: Alberto Viglione <alberto.viglione@polito.it>
Repository: CRAN
Date/Publication: 2023-11-13 13:33:20 UTC

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Package dockerfiler updated to version 0.2.2 with previous version 0.2.1 dated 2023-01-18

Title: Easy Dockerfile Creation from R
Description: Build a Dockerfile straight from your R session. 'dockerfiler' allows you to create step by step a Dockerfile, and provide convenient tools to wrap R code inside this Dockerfile.
Author: Colin Fay [cre, aut] , Vincent Guyader [aut] , Josiah Parry [aut] , Sebastien Rochette [aut]
Maintainer: Colin Fay <contact@colinfay.me>

Diff between dockerfiler versions 0.2.1 dated 2023-01-18 and 0.2.2 dated 2023-11-13

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Package cfid updated to version 0.1.6 with previous version 0.1.4 dated 2022-10-26

Title: Identification of Counterfactual Queries in Causal Models
Description: Facilitates the identification of counterfactual queries in structural causal models via the ID* and IDC* algorithms by Shpitser, I. and Pearl, J. (2007, 2008) <arXiv:1206.5294>, <https://jmlr.org/papers/v9/shpitser08a.html>. Provides a simple interface for defining causal diagrams and counterfactual conjunctions. Construction of parallel worlds graphs and counterfactual graphs is carried out automatically based on the counterfactual query and the causal diagram. See Tikka, S. (2023) <doi:10.32614/RJ-2023-053> for a tutorial of the package.
Author: Santtu Tikka [aut, cre]
Maintainer: Santtu Tikka <santtuth@gmail.com>

Diff between cfid versions 0.1.4 dated 2022-10-26 and 0.1.6 dated 2023-11-13

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 21 files changed, 599 insertions(+), 396 deletions(-)

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Package TreatmentPatterns updated to version 2.6.0 with previous version 2.5.2 dated 2023-09-15

Title: Analyzes Real-World Treatment Patterns of a Study Population of Interest
Description: Computes treatment patterns within a given cohort using the Observational Medical Outcomes Partnership (OMOP) common data model (CDM). As described in Markus, Verhamme, Kors, and Rijnbeek (2022) <doi:10.1016/j.cmpb.2022.107081>.
Author: Aniek Markus [aut] , Maarten van Kessel [cre]
Maintainer: Maarten van Kessel <m.l.vankessel@erasmusmc.nl>

Diff between TreatmentPatterns versions 2.5.2 dated 2023-09-15 and 2.6.0 dated 2023-11-13

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 TreatmentPatterns-2.6.0/TreatmentPatterns/R/computePathways.R                             |   14 
 TreatmentPatterns-2.6.0/TreatmentPatterns/R/createSankeyDiagram.R                         |  184 +++-
 TreatmentPatterns-2.6.0/TreatmentPatterns/R/createSunburstPlot.R                          |   86 +
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 TreatmentPatterns-2.6.0/TreatmentPatterns/R/export.R                                      |    9 
 TreatmentPatterns-2.6.0/TreatmentPatterns/README.md                                       |  101 +-
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New package Momocs with initial version 1.4.1
Package: Momocs
Title: Morphometrics using R
Version: 1.4.1
Date: 2023-11-13
Description: The goal of 'Momocs' is to provide a complete, convenient, reproducible and open-source toolkit for 2D morphometrics. It includes most common 2D morphometrics approaches on outlines, open outlines, configurations of landmarks, traditional morphometrics, and facilities for data preparation, manipulation and visualization with a consistent grammar throughout. It allows reproducible, complex morphometrics analyses and other morphometrics approaches should be easy to plug in, or develop from, on top of this canvas.
License: GPL-2 | GPL-3
Encoding: UTF-8
URL: https://github.com/MomX/Momocs/, http://momx.github.io/Momocs/
BugReports: https://github.com/MomX/Momocs/issues
Depends: R(>= 3.2)
LazyData: true
Imports: cluster, dendextend, dplyr, magrittr, geometry, geomorph, ggplot2, graphics, grDevices, jpeg, MASS, progress, RColorBrewer, sp, sf, utils, vegan, tibble
Suggests: devtools, knitr, rmarkdown, testthat, covr, roxygen2
NeedsCompilation: no
Packaged: 2023-11-13 10:05:45 UTC; vbonhomme
Author: Vincent Bonhomme [aut, cre], Julien Claude [aut]
Maintainer: Vincent Bonhomme <bonhomme.vincent@gmail.com>
Repository: CRAN
Date/Publication: 2023-11-13 11:13:30 UTC

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Package jacobi updated to version 3.1.0 with previous version 3.0.0 dated 2023-10-15

Title: Jacobi Theta Functions and Related Functions
Description: Evaluation of the Jacobi theta functions and related functions: Weierstrass elliptic function, Weierstrass sigma function, Weierstrass zeta function, Klein j-function, Dedekind eta function, lambda modular function, Jacobi elliptic functions, Neville theta functions, Eisenstein series, lemniscate elliptic functions, elliptic alpha function, Rogers-Ramanujan continued fractions, and Dixon elliptic functions. Complex values of the variable are supported.
Author: Stephane Laurent [aut, cre], Mikael Fremling [aut]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between jacobi versions 3.0.0 dated 2023-10-15 and 3.1.0 dated 2023-11-13

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Package FjordLight updated to version 0.6.1 with previous version 0.6 dated 2023-11-12

Title: Available Light Within the Water Column and Seafloor of Arctic Fjords
Description: Satellite data collected between 2003 and 2022, in conjunction with gridded bathymetric data (50-150 m resolution), are used to estimate the irradiance reaching the bottom of a series of representative EU Arctic fjords. An Earth System Science Data (ESSD) manuscript, Schlegel et al. (2023, in review), that provides a detailed explanation of the methodology is currently in review.
Author: Bernard Gentili [aut], Jean-Pierre Gattuso [aut] , Robert W. Schlegel [aut, cre]
Maintainer: Robert W. Schlegel <robert.schlegel@imev-mer.fr>

Diff between FjordLight versions 0.6 dated 2023-11-12 and 0.6.1 dated 2023-11-13

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Package bbotk updated to version 0.7.3 with previous version 0.7.2 dated 2022-12-08

Title: Black-Box Optimization Toolkit
Description: Features highly configurable search spaces via the 'paradox' package and optimizes every user-defined objective function. The package includes several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). bbotk is the base package of 'mlr3tuning', 'mlr3fselect' and 'miesmuschel'.
Author: Marc Becker [cre, aut] , Jakob Richter [aut] , Michel Lang [aut] , Bernd Bischl [aut] , Martin Binder [aut], Olaf Mersmann [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between bbotk versions 0.7.2 dated 2022-12-08 and 0.7.3 dated 2023-11-13

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Package readsparse updated to version 0.1.5-5 with previous version 0.1.5-3 dated 2022-08-15

Title: Read and Write Sparse Matrices in 'SVMLight' and 'LibSVM' Formats
Description: Read and write labelled sparse matrices in text format as used by software such as 'SVMLight', 'LibSVM', 'ThunderSVM', 'LibFM', 'xLearn', 'XGBoost', 'LightGBM', and others. Supports labelled data for regression, classification (binary, multi-class, multi-label), and ranking (with 'qid' field), and can handle header metadata and comments in files.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

Diff between readsparse versions 0.1.5-3 dated 2022-08-15 and 0.1.5-5 dated 2023-11-13

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Package visualize updated to version 4.5.0 with previous version 4.4.0 dated 2020-01-08

Title: Graph Probability Distributions with User Supplied Parameters and Statistics
Description: Graphs the pdf or pmf and highlights what area or probability is present in user defined locations. Visualize is able to provide lower tail, bounded, upper tail, and two tail calculations. Supports strict and equal to inequalities. Also provided on the graph is the mean and variance of the distribution.
Author: James Balamuta [aut, cph, cre]
Maintainer: James Balamuta <james.balamuta@gmail.com>

Diff between visualize versions 4.4.0 dated 2020-01-08 and 4.5.0 dated 2023-11-13

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New package SpatPCA with initial version 1.3.5
Package: SpatPCA
Title: Regularized Principal Component Analysis for Spatial Data
Version: 1.3.5
Description: Provide regularized principal component analysis incorporating smoothness, sparseness and orthogonality of eigen-functions by using the alternating direction method of multipliers algorithm (Wang and Huang, 2017, <DOI:10.1080/10618600.2016.1157483>). The method can be applied to either regularly or irregularly spaced data, including 1D, 2D, and 3D.
License: GPL-3
ByteCompile: true
BugReports: https://github.com/egpivo/SpatPCA/issues
Depends: R (>= 3.4.0)
Imports: Rcpp (>= 1.0.10), RcppParallel (>= 5.1.7), ggplot2
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: knitr, rmarkdown, testthat (>= 2.1.0), dplyr (>= 1.0.3), gifski, tidyr, fields, scico, plot3D, pracma, RColorBrewer, maps, covr, styler, V8
SystemRequirements: GNU make
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://github.com/egpivo/SpatPCA
NeedsCompilation: yes
Packaged: 2023-11-12 12:12:19 UTC; joseph
Author: Wen-Ting Wang [aut, cre] , Hsin-Cheng Huang [aut]
Maintainer: Wen-Ting Wang <egpivo@gmail.com>
Repository: CRAN
Date/Publication: 2023-11-13 09:33:19 UTC

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Package filecacher updated to version 0.2.5 with previous version 0.2.4 dated 2023-11-10

Title: File Cacher
Description: The main functions in this package are with_cache() and cached_read(). The former is a simple way to cache an R object into a file on disk, using 'cachem'. The latter is a wrapper around any standard read function, but caches both the output and the file list info. If the input file list info hasn't changed, the cache is used; otherwise, the original files are re-read. This can save time if the original operation requires reading from many files, and/or involves lots of processing.
Author: Or Gadish [aut, cre, cph]
Maintainer: Or Gadish <orgadish@gmail.com>

Diff between filecacher versions 0.2.4 dated 2023-11-10 and 0.2.5 dated 2023-11-13

 DESCRIPTION                       |    6 +++---
 MD5                               |    6 +++---
 NEWS.md                           |    9 +++++++--
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 4 files changed, 22 insertions(+), 21 deletions(-)

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New package ScriptMapR with initial version 0.0.3
Package: ScriptMapR
Title: R Script Visualization in Cytoscape
Version: 0.0.3
Author: Raphael Bonnet [aut, cre], Marion Guernote [ctb], Terry Gouin [ctb], Maxime Laurens [ctb], Thibault Meekel [ctb], Jean-Francois Peyron[aut,ths]
Maintainer: Raphael Bonnet <raphael.bonnet@univ-cotedazur.fr>
Description: Displays the content of a R script into the 'Cytoscape' network-visualization app <https://cytoscape.org/>.
Depends: R (>= 3.5.0)
BugReports: https://github.com/peyronlab/ScriptMapR/issues
Imports: RCy3, formatR, dplyr, stringr, utils, grDevices
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-09-24 08:48:14 UTC; raphael
Repository: CRAN
Date/Publication: 2020-09-24 09:20:10 UTC

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New package lilikoi with initial version 2.1.1
Package: lilikoi
Title: Metabolomics Personalized Pathway Analysis Tool
Version: 2.1.1
Description: A comprehensive analysis tool for metabolomics data. It consists a variety of functional modules, including several new modules: a pre-processing module for normalization and imputation, an exploratory data analysis module for dimension reduction and source of variation analysis, a classification module with the new deep-learning method and other machine-learning methods, a prognosis module with cox-PH and neural-network based Cox-nnet methods, and pathway analysis module to visualize the pathway and interpret metabolite-pathway relationships. References: H. Paul Benton <http://www.metabolomics-forum.com/index.php?topic=281.0> Jeff Xia <https://github.com/cangfengzhe/Metabo/blob/master/MetaboAnalyst/website/name_match.R> Travers Ching, Xun Zhu, Lana X. Garmire (2018) <doi:10.1371/journal.pcbi.1006076>.
Depends: R (>= 3.5.0)
Imports: car, caret, dplyr, gbm, ggplot2, glmnet, h2o, impute, infotheo, limma, M3C, Metrics, MLmetrics, parallel, princurve, pathview, plyr, preprocessCore, pROC, RCy3, reticulate, reshape, RWeka, scales, stats, stringr, survminer, survival
License: GPL-2
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2022-10-05 18:08:07 UTC; rrrrrita
Author: Xinying Fang [aut], Yu Liu [aut], Zhijie Ren [aut], Fadhl Alakwaa [aut], Sijia Huang [aut], Lana Garmire [aut, cre]
Maintainer: Lana Garmire <lana.garmire.group@gmail.com>
Repository: CRAN
Date/Publication: 2022-10-05 19:00:02 UTC

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Package sommer updated to version 4.3.3 with previous version 4.3.2 dated 2023-08-10

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects with unknown variance-covariance structures (e.g., heterogeneous and unstructured) and known covariance among levels of random effects (e.g., pedigree and genomic relationship matrices) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>; Jensen et al., 1997). REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms for the problems r x r (r being the number of records) or using the Henderson-based average information algorithm for the problem c x c (c being the number of coefficients to estimate). Spatial models can also be fitted using the two-dimensional spline functionality available.
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

Diff between sommer versions 4.3.2 dated 2023-08-10 and 4.3.3 dated 2023-11-13

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Package rexpokit (with last version 0.26.6.12) was removed from CRAN

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

2023-10-30 0.26.6.12

Permanent link
Package rsofun (with last version 4.4) was removed from CRAN

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

2023-10-30 4.4

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Package textrecipes (with last version 1.0.5) was removed from CRAN

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

2023-10-20 1.0.5
2023-08-17 1.0.4
2023-04-14 1.0.3
2022-12-21 1.0.2
2022-10-05 1.0.1
2022-07-02 1.0.0
2022-05-03 0.5.2
2022-03-29 0.5.1
2022-03-20 0.5.0
2021-07-11 0.4.1
2020-11-12 0.4.0
2020-07-08 0.3.0
2020-05-22 0.2.3

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Package collapsibleTree updated to version 0.1.8 with previous version 0.1.7 dated 2018-08-22

Title: Interactive Collapsible Tree Diagrams using 'D3.js'
Description: Interactive Reingold-Tilford tree diagrams created using 'D3.js', where every node can be expanded and collapsed by clicking on it. Tooltips and color gradients can be mapped to nodes using a numeric column in the source data frame. See 'collapsibleTree' website for more information and examples.
Author: Adeel Khan [aut, cre], Dhrumin Shah [ctb], Mike Bostock [ctb, cph]
Maintainer: Adeel Khan <AdeelK@gwu.edu>

Diff between collapsibleTree versions 0.1.7 dated 2018-08-22 and 0.1.8 dated 2023-11-13

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