Fri, 17 Jun 2022

Package vegdata updated to version 0.9.11.3 with previous version 0.9.10 dated 2022-01-09

Title: Access Vegetation Databases and Treat Taxonomy
Description: Handling of vegetation data from different sources ( Turboveg 2.0 <https://www.synbiosys.alterra.nl/turboveg/>; the German national repository <https://www.vegetweb.de> and others. Taxonomic harmonization (given appropriate taxonomic lists, e.g. the German taxonomic standard list "GermanSL", <https://germansl.infinitenature.org>).
Author: Florian Jansen <florian.jansen@uni-rostock.de>
Maintainer: Florian Jansen <florian.jansen@uni-rostock.de>

Diff between vegdata versions 0.9.10 dated 2022-01-09 and 0.9.11.3 dated 2022-06-17

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Package steprf updated to version 1.0.1 with previous version 1.0.0 dated 2021-11-08

Title: Stepwise Predictive Variable Selection for Random Forest
Description: An introduction to several novel predictive variable selection methods for random forest. They are based on various variable importance methods (i.e., averaged variable importance (AVI), and knowledge informed AVI (i.e., KIAVI, and KIAVI2)) and predictive accuracy in stepwise algorithms. For details of the variable selection methods, please see: Li, J., Siwabessy, J., Huang, Z. and Nichol, S. (2019) <doi:10.3390/geosciences9040180>. Li, J., Alvarez, B., Siwabessy, J., Tran, M., Huang, Z., Przeslawski, R., Radke, L., Howard, F., Nichol, S. (2017). <DOI: 10.13140/RG.2.2.27686.22085>.
Author: Jin Li [aut, cre]
Maintainer: Jin Li <jinli68@gmail.com>

Diff between steprf versions 1.0.0 dated 2021-11-08 and 1.0.1 dated 2022-06-17

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Package spacetime updated to version 1.2-8 with previous version 1.2-7 dated 2022-06-05

Title: Classes and Methods for Spatio-Temporal Data
Description: Classes and methods for spatio-temporal data, including space-time regular lattices, sparse lattices, irregular data, and trajectories; utility functions for plotting data as map sequences (lattice or animation) or multiple time series; methods for spatial and temporal selection and subsetting, as well as for spatial/temporal/spatio-temporal matching or aggregation, retrieving coordinates, print, summary, etc.
Author: Edzer Pebesma [aut, cre] , Benedikt Graeler [ctb], Tom Gottfried [ctb], Robert J. Hijmans [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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New package LearningRlab with initial version 2.3
Package: LearningRlab
Version: 2.3
Date: 2022-6-17
Title: Statistical Learning Functions
Author: Carlos Javier Hellin Asensio [aut, cre], Jose Manuel Gomez Caceres [aut], Dennis Monheimius [aut], Eduardo Benito [aut], Juan Jose Cuadrado [aut], Universidad de Alcala de Henares [aut]
Maintainer: Carlos Javier Hellin Asensio <carlos.hellin@edu.uah.es>
Depends: magick, crayon
Suggests: knitr, rmarkdown
Description: Aids in learning statistical functions incorporating the result of calculus done with each function and how they are obtained, that is, which equation and variables are used. Also for all these equations and their related variables detailed explanations and interactive exercises are also included. All these characteristics allow to the package user to improve the learning of statistics basics by means of their use.
License: Unlimited
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-06-17 17:16:13 UTC; carlos
Repository: CRAN
Date/Publication: 2022-06-17 23:40:09 UTC
Encoding: UTF-8

More information about LearningRlab at CRAN
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Package hoopR updated to version 1.8.0 with previous version 1.5.0 dated 2021-11-10

Title: Access Men's Basketball Play by Play Data
Description: A utility to quickly obtain clean and tidy men's basketball play by play data. Provides functions to access live play by play and box score data from ESPN<https://www.espn.com> with shot locations when available. It is also a full NBA Stats API<https://www.nba.com/stats/> wrapper. It is also a scraping and aggregating interface for Ken Pomeroy's men's college basketball statistics website<https://kenpom.com>. It provides users with an active subscription the capability to scrape the website tables and analyze the data for themselves.
Author: Saiem Gilani [aut, cre], Jason Lee [ctb], Billy Fryer [ctb]
Maintainer: Saiem Gilani <saiem.gilani@gmail.com>

Diff between hoopR versions 1.5.0 dated 2021-11-10 and 1.8.0 dated 2022-06-17

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More information about hoopR at CRAN
Permanent link

Package ggPMX updated to version 1.2.8 with previous version 1.2.7 dated 2022-06-09

Title: 'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME Models
Description: At Novartis, we aimed at standardizing the set of diagnostic plots used for modeling activities in order to reduce the overall effort required for generating such plots. For this, we developed a guidance that proposes an adequate set of diagnostics and a toolbox, called 'ggPMX' to execute them. 'ggPMX' is a toolbox that can generate all diagnostic plots at a quality sufficient for publication and submissions using few lines of code. This package focuses on plots recommended by ISoP <doi:10.1002/psp4.12161>. While not required, you can get/install the 'R' 'lixoftConnectors' package in the 'Monolix' installation, as described at the following url <https://monolix.lixoft.com/monolix-api/lixoftconnectors_installation/>. When 'lixoftConnectors' is available, 'R' can use 'Monolix' directly to create the required Chart Data instead of exporting it from the 'Monolix' gui.
Author: Amine Gassem [aut], Bruno Bieth [aut], Irina Baltcheva [aut], Thomas Dumortier [aut], Christian Bartels [aut], Souvik Bhattacharya [aut], Inga Ludwig [aut], Ines Paule [aut], Didier Renard [aut], Matthew Fidler [aut, cre] , Seid Hamzic [aut], Benjami [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between ggPMX versions 1.2.7 dated 2022-06-09 and 1.2.8 dated 2022-06-17

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More information about ggPMX at CRAN
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Package flexsurv updated to version 2.2 with previous version 2.1 dated 2021-09-13

Title: Flexible Parametric Survival and Multi-State Models
Description: Flexible parametric models for time-to-event data, including the Royston-Parmar spline model, generalized gamma and generalized F distributions. Any user-defined parametric distribution can be fitted, given at least an R function defining the probability density or hazard. There are also tools for fitting and predicting from fully parametric multi-state models, based on either cause-specific hazards or mixture models.
Author: Christopher Jackson [aut, cre], Paul Metcalfe [ctb], Jordan Amdahl [ctb], Matthew T. Warkentin [ctb], Michael Sweeting [ctb], Kevin Kunzmann [ctb]
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

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Package BayesMassBal updated to version 1.1.0 with previous version 1.0.0 dated 2020-11-09

Title: Bayesian Data Reconciliation of Separation Processes
Description: Bayesian tools that can be used to reconcile, or mass balance, mass flow rate data collected from chemical or particulate separation processes aided by constraints governed by the conservation of mass. Functions included in the package aid the user in organizing and constraining data, using Markov chain Monte Carlo methods to obtain samples from Bayesian models, and in computation of the marginal likelihood of the data, given a particular model, for model selection. Marginal likelihood is approximated by methods in Chib S (1995) <doi:10.2307/2291521>.
Author: Scott Koermer <skoermer@vt.edu>
Maintainer: Scott Koermer <skoermer@vt.edu>

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Package opa updated to version 0.4.1 with previous version 0.3.6 dated 2022-04-05

Title: An Implementation of Ordinal Pattern Analysis
Description: Quantifies hypothesis to data fit for repeated measures and longitudinal data, as described by Thorngate (1987) <doi:10.1016/S0166-4115(08)60083-7> and Grice et al., (2015) <doi:10.1177/2158244015604192>. Hypothesis and data are encoded as pairwise relative orderings which are then compared to determine the percentage of orderings in the data that are matched by the hypothesis.
Author: Timothy Beechey [aut, cre]
Maintainer: Timothy Beechey <tim.beechey@protonmail.com>

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Package QTLRel updated to version 1.11 with previous version 1.9 dated 2022-03-09

Title: Tools for Mapping of Quantitative Traits of Genetically Related Individuals and Calculating Identity Coefficients from Pedigrees
Description: This software provides tools for quantitative trait mapping in populations such as advanced intercross lines where relatedness among individuals should not be ignored. It can estimate background genetic variance components, impute missing genotypes, simulate genotypes, perform a genome scan for putative quantitative trait loci (QTL), and plot mapping results. It also has functions to calculate identity coefficients from pedigrees, especially suitable for pedigrees that consist of a large number of generations, or estimate identity coefficients from genotypic data in certain circumstances.
Author: Riyan Cheng [aut, cre]
Maintainer: Riyan Cheng <riyancheng@hotmail.com>

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Package recommenderlab updated to version 1.0.1 with previous version 1.0.0 dated 2022-05-27

Title: Lab for Developing and Testing Recommender Algorithms
Description: Provides a research infrastructure to develop and evaluate collaborative filtering recommender algorithms. This includes a sparse representation for user-item matrices, many popular algorithms, top-N recommendations, and cross-validation. Hahsler (2022) <doi:10.48550/arXiv.2205.12371>.
Author: Michael Hahsler [aut, cre, cph] , Bregt Vereet [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package RTL updated to version 1.2.0 with previous version 1.1.0 dated 2022-05-18

Title: Risk Tool Library - Trading, Risk, 'Analytics' for Commodities
Description: A toolkit for Commodities 'analytics', risk management and trading professionals. Includes functions for API calls to 'Morningstar Commodities' and 'Genscape'.
Author: Philippe Cote [aut, cre], Nima Safaian [aut]
Maintainer: Philippe Cote <pcote@ualberta.ca>

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Package itsadug updated to version 2.4.1 with previous version 2.4 dated 2020-04-29

Title: Interpreting Time Series and Autocorrelated Data Using GAMMs
Description: GAMM (Generalized Additive Mixed Modeling; Lin & Zhang, 1999) as implemented in the R package 'mgcv' (Wood, S.N., 2006; 2011) is a nonlinear regression analysis which is particularly useful for time course data such as EEG, pupil dilation, gaze data (eye tracking), and articulography recordings, but also for behavioral data such as reaction times and response data. As time course measures are sensitive to autocorrelation problems, GAMMs implements methods to reduce the autocorrelation problems. This package includes functions for the evaluation of GAMM models (e.g., model comparisons, determining regions of significance, inspection of autocorrelational structure in residuals) and interpreting of GAMMs (e.g., visualization of complex interactions, and contrasts).
Author: Jacolien van Rij [aut, cre], Martijn Wieling [aut], R. Harald Baayen [aut], Hedderik van Rijn [ctb]
Maintainer: Jacolien van Rij <vanrij.jacolien@gmail.com>

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Package dcmodifydb updated to version 0.3.1 with previous version 0.2.0 dated 2022-01-21

Title: Modifying Rules on a DataBase
Description: Apply modification rules from R package 'dcmodify' to the database, prescribing and documenting deterministic data cleaning steps on records in a database. The rules are translated into SQL statements using R package 'dbplyr'.
Author: Edwin de Jonge [aut, cre] , Wytze Gelderloos [ctb]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>

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Package citrus updated to version 1.0.2 with previous version 1.0.1 dated 2021-11-17

Title: Customer Intelligence Tool for Rapid Understandable Segmentation
Description: A tool to easily run and visualise supervised and unsupervised state of the art customer segmentation. It is built like a pipeline covering the 3 main steps in a segmentation project: pre-processing, modelling, and plotting. Users can either run the pipeline as a whole, or choose to run any one of the three individual steps. It is equipped with a supervised option (tree optimisation) and an unsupervised option (k-clustering) as default models.
Author: Dom Clarke [aut, cre], Cinzia Braglia [aut], Oskar Nummedal [aut], Leo McCarthy [aut], Rebekah Yates [aut], Stuart Davie [aut], Joash Alonso [aut], PEAK AI LIMITED [cph]
Maintainer: Dom Clarke <dom.clarke@peak.ai>

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Package baguette updated to version 1.0.0 with previous version 0.2.0 dated 2022-03-09

Title: Efficient Model Functions for Bagging
Description: Tree- and rule-based models can be bagged (<doi:10.1007/BF00058655>) using this package and their predictions equations are stored in an efficient format to reduce the model objects size and speed.
Author: Max Kuhn [aut, cre] , RStudio [cph, fnd]
Maintainer: Max Kuhn <max@rstudio.com>

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Package MissingPlotRBD updated to version 1.1.0 with previous version 0.1.0 dated 2022-06-15

Title: Missing Plot in RBD
Description: A system for Analysis of RBD when there is one missing observation. Methods for this process is described in A.M.Gun,M.K.Gupta,B.Dasgupta(2019,ISBN:81-87567-81-3).
Author: Arnab Roy [aut, cre], Debarghya Baul [aut]
Maintainer: Arnab Roy <arnabroy7640@gmail.com>

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Package fdaPDE updated to version 1.1-8 with previous version 1.1-7 dated 2022-06-01

Title: Functional Data Analysis and Partial Differential Equations (PDE); Statistical Analysis of Functional and Spatial Data, Based on Regression with PDE Regularization
Description: An implementation of regression models with partial differential regularizations, making use of the Finite Element Method. The models efficiently handle data distributed over irregularly shaped domains and can comply with various conditions at the boundaries of the domain. A priori information about the spatial structure of the phenomenon under study can be incorporated in the model via the differential regularization. See Sangalli, L. M. (2021). Spatial Regression With Partial Differential Equation Regularisation. International Statistical Review, 89(3), 505-531. for an overview.
Author: Eleonora Arnone [aut, cre], Laura M. Sangalli [aut], Eardi Lila [aut], Jim Ramsay [aut], Luca Formaggia [aut], Giovanni Ardenghi [ctb], Aldo Clemente [ctb], Alessandra Colli [ctb], Alberto Colombo [ctb], Luca Colombo [ctb], Carlo de Falco [ctb], Enri [...truncated...]
Maintainer: Eleonora Arnone <eleonora.arnone@polimi.it>

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Package combinIT updated to version 1.5.0 with previous version 1.0.0 dated 2022-03-21

Title: A Combined Intercation Test for Unreplicated Two-Way Tables
Description: There are several non-functional-form-based interaction tests for testing interaction in unreplicated two-way layouts. However, no single test can detect all patterns of possible interaction and the tests are sensitive to a particular pattern of interaction. This package combines six non-functional-form-based interaction tests for testing additivity. These six tests were proposed by Boik (1993) <doi:10.1080/02664769300000004>, Piepho (1994), Kharrati-Kopaei and Sadooghi-Alvandi (2007) <doi:10.1080/03610920701386851>, Franck et al. (2013) <doi:10.1016/j.csda.2013.05.002>, Malik et al. (2016) <doi:10.1080/03610918.2013.870196> and Kharrati-Kopaei and Miller (2016) <doi:10.1080/00949655.2015.1057821>. The p-values of these six tests are combined by Bonferroni, Sidak, Jacobi polynomial expansion, and the Gaussian copula methods to provide researchers with a testing approach which leverages many existing methods to detect disparate forms of non-additivity. This package is based on the following published paper: Shenavari and Kharrati-Kopaei (2018) "A Method for Testing Additivity in Unreplicated Two-Way Layouts Based on Combining Multiple Interaction Tests". In addition, several sentences in help files or descriptions were copied from that paper.
Author: Zahra Shenavari [aut], Hossein Haghbin [aut, cre] , Mahmood Kharrati-Kopaei [aut] , Seyed Morteza Najibi [aut]
Maintainer: Hossein Haghbin <haghbin@pgu.ac.ir>

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Package reportROC updated to version 3.6 with previous version 3.5 dated 2020-07-21

Title: An Easy Way to Report ROC Analysis
Description: Provides an easy way to report the results of ROC analysis, including: 1. an ROC curve. 2. the value of Cutoff, AUC (Area Under Curve), ACC (accuracy), SEN (sensitivity), SPE (specificity), PLR (positive likelihood ratio), NLR (negative likelihood ratio), PPV (positive predictive value), NPV (negative predictive value), PPA (percentage of positive accordance), NPA (percentage of negative accordance), TPA (percentage of total accordance), KAPPA (kappa value).
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>

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Package drda updated to version 2.0.0 with previous version 1.0.0 dated 2021-06-10

Title: Dose-Response Data Analysis
Description: Fit logistic functions to observed dose-response continuous data and evaluate goodness-of-fit measures. See Malyutina A., Tang J., and Pessia A. (2021) <doi:10.1101/2021.06.07.447323>.
Author: Alberto Pessia [aut, cre] , Alina Malyutina [ctb]
Maintainer: Alberto Pessia <dev@albertopessia.com>

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Package skynet updated to version 1.4.3 with previous version 1.4.2 dated 2022-06-02

Title: Generates Networks from BTS Data
Description: A flexible tool that allows generating bespoke air transport statistics for urban studies based on publicly available data from the Bureau of Transport Statistics (BTS) in the United States <https://www.transtats.bts.gov/databases.asp?Z1qr_VQ=E&Z1qr_Qr5p=N8vn6v10&f7owrp6_VQF=D>.
Author: Filipe Teixeira [aut, cre]
Maintainer: Filipe Teixeira <Filipe.MarquesTeixeira@Ugent.be>

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Package campsismod updated to version 0.9.0 with previous version 0.8.1 dated 2022-05-24

Title: Generic Implementation of a PK/PD Model
Description: A generic, easy-to-use and expandable implementation of a pharmacokinetic (PK) / pharmacodynamic (PD) model based on the S4 class system. This package allows the user to read/write a pharmacometric model from/to files and adapt it further on the fly in the R environment. For this purpose, this package provides an intuitive API to add, modify or delete equations, ordinary differential equations (ODE's), model parameters or compartment properties (like infusion duration or rate, bioavailability and initial values). Finally, this package also provides a useful export of the model for use with simulation packages 'RxODE' and 'mrgsolve'. This package is designed and intended to be used with package 'campsis', a PK/PD simulation platform built on top of 'RxODE' and 'mrgsolve'.
Author: Nicolas Luyckx [aut, cre]
Maintainer: Nicolas Luyckx <nicolas.luyckx@calvagone.com>

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Package zen4R updated to version 0.6-1 with previous version 0.6 dated 2022-05-01

Title: Interface to 'Zenodo' REST API
Description: Provides an Interface to 'Zenodo' (<https://zenodo.org>) REST API, including management of depositions, attribution of DOIs by 'Zenodo' and upload and download of files.
Author: Emmanuel Blondel [aut, cre] , Julien Barde [ctb] , Stephen Eglen [ctb] , Hans Van Calster [ctb] , Floris Vanderhaeghe [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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Package processx updated to version 3.6.1 with previous version 3.6.0 dated 2022-06-10

Title: Execute and Control System Processes
Description: Tools to run system processes in the background. It can check if a background process is running; wait on a background process to finish; get the exit status of finished processes; kill background processes. It can read the standard output and error of the processes, using non-blocking connections. 'processx' can poll a process for standard output or error, with a timeout. It can also poll several processes at once.
Author: Gabor Csardi [aut, cre, cph] , Winston Chang [aut], RStudio [cph, fnd], Mango Solutions [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package multilevelmod updated to version 1.0.0 with previous version 0.2.0 dated 2022-05-03

Title: Model Wrappers for Multi-Level Models
Description: Bindings for hierarchical regression models for use with the 'parsnip' package. Models include longitudinal generalized linear models (Liang and Zeger, 1986) <doi:10.1093/biomet/73.1.13>, and mixed-effect models (Pinheiro and Bates) <doi:10.1007/978-1-4419-0318-1_1>.
Author: Max Kuhn [aut] , Hannah Frick [aut, cre] , RStudio [cph, fnd]
Maintainer: Hannah Frick <hannah@rstudio.com>

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Package wehoop updated to version 1.5.0 with previous version 1.2.1 dated 2021-11-09

Title: Access Women's Basketball Play by Play Data
Description: A utility for working with women's basketball data. A scraping and aggregating interface for the WNBA Stats API <https://stats.wnba.com/> and ESPN's <https://www.espn.com> women's college basketball and WNBA statistics. It provides users with the capability to access the game play-by-plays, box scores, standings and results to analyze the data for themselves.
Author: Saiem Gilani [aut, cre], Geoffery Hutchinson [aut]
Maintainer: Saiem Gilani <saiem.gilani@gmail.com>

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New package updater with initial version 0.1.0
Package: updater
Title: Utilities for Updating R
Version: 0.1.0
Description: When updating major or minor R versions all packages should be re-installed. The utilities in this package assist in getting a user up-and-running again by installing all previously installed R packages. The package uses 'renv' to install; immediately replenishing your 'renv' package cache.
License: MIT + file LICENSE
Imports: cli (>= 3.3.0), renv (>= 0.15.5)
Suggests: covr, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2022-06-16 22:37:05 UTC; SjobergD
Author: Daniel D. Sjoberg [aut, cre, cph]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-17 10:40:08 UTC

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New package sharp with initial version 1.1.0
Package: sharp
Title: Stability-enHanced Approaches using Resampling Procedures
Version: 1.1.0
Author: Barbara Bodinier [aut, cre]
Maintainer: Barbara Bodinier <b.bodinier@imperial.ac.uk>
URL: https://github.com/barbarabodinier/sharp
BugReports: https://github.com/barbarabodinier/sharp/issues
Description: Implementation of stability selection for graphical modelling and variable selection in regression and dimensionality reduction. These models use on resampling approaches to estimate selection probabilities (N Meinshausen, P Bühlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x>). Calibration of the hyper-parameters is done via maximisation of a stability score measuring the likelihood of informative (non-uniform) selection (B Bodinier, S Filippi, TH Nost, J Chiquet, M Chadeau-Hyam (2021) <arXiv:2106.02521>). This package also includes tools to simulate multivariate Normal data with different (partial) correlation structures.
License: GPL (>= 3)
Language: en-GB
Encoding: UTF-8
Imports: glassoFast (>= 1.0.0), glmnet, grDevices, huge, igraph, MASS, mclust, parallel, Rdpack, withr (>= 2.4.0)
Suggests: cluster, corpcor, dbscan, elasticnet, gglasso, mixOmics, nnet, plotrix, RCy3, rmarkdown, sgPLS, survival (>= 3.2.13), testthat (>= 3.0.0), visNetwork
NeedsCompilation: no
Packaged: 2022-06-16 20:38:23 UTC; barbara
Repository: CRAN
Date/Publication: 2022-06-17 10:40:11 UTC

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New package quadcleanR with initial version 1.0.0
Package: quadcleanR
Title: Cleanup and Visualization of Quadrat Data
Version: 1.0.0
Description: A tool that can be customized to aid in the clean up of ecological data collected using quadrats and can crop quadrats to ensure comparability between quadrats collected under different methodologies.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/DominiqueMaucieri/quadcleanR, https://dominiquemaucieri.com/quadcleanR/
BugReports: https://github.com/DominiqueMaucieri/quadcleanR/issues
Suggests: covr, dplyr, ggplot2, kableExtra, knitr, MASS, rmarkdown, shiny, shinydashboard, shinyWidgets, testthat (>= 3.0.0), tidyr, viridis
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
Imports: magrittr
NeedsCompilation: no
Packaged: 2022-06-16 17:14:46 UTC; dom
Author: Dominique Maucieri [aut, cre]
Maintainer: Dominique Maucieri <dominiquemaucieri@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-17 10:20:02 UTC

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New package pkgstats with initial version 0.0.5
Package: pkgstats
Title: Metrics of R Packages
Version: 0.0.5
Description: Static code analyses for R packages using the external code-tagging libraries "ctags" and "gtags". Static analyses enable packages to be analysed very quickly, generally a couple of seconds at most. The package also provides access to a database generating by applying the main function to the full CRAN archive, enabling the statistical properties of any package to be compared with all other CRAN packages.
License: GPL-3
URL: https://docs.ropensci.org/pkgstats/, https://github.com/ropensci-review-tools/pkgstats
BugReports: https://github.com/ropensci-review-tools/pkgstats/issues
Imports: brio, checkmate, dplyr, fs, igraph, methods, readr, sys, withr
Suggests: curl, hms, jsonlite, knitr, parallel, pkgbuild, Rcpp, rmarkdown, roxygen2, testthat (>= 3.0.0), visNetwork
LinkingTo: cpp11
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
SystemRequirements: ctags, global, C++11
Packaged: 2022-06-15 10:15:13 UTC; smexus
Author: Mark Padgham [aut, cre]
Maintainer: Mark Padgham <mark.padgham@email.com>
Repository: CRAN
Date/Publication: 2022-06-17 10:10:02 UTC

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New package pfocal with initial version 1.0.0
Package: pfocal
Title: Fast Convolution of Matrices
Version: 1.0.0
Description: Provides functions to create and apply convolution kernels to rectangular data (matrix, raster). Implements calculations of convolutions in parallel, emphasizing performance over convolution function diversity. Moving window calculations are common in many fields, from image processing to raster data manipulation. The process of ingesting values in the neighborhood of a each cell in a grid, passing them through a function, and returning a reduced value, is embarrassingly parallel. This package implements this with parallel C code. In doing so, it provides a much faster option than other similarly aimed packages and functions.
License: GPL-3
BugReports: https://github.com/LandSciTech/pfocal/
Depends: R (>= 4.0.0)
Imports: Rcpp, stats, methods
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), starsExtra, raster, terra, covr, knitr, rmarkdown, microbenchmark, stars
Encoding: UTF-8
URL: https://landscitech.github.io/pfocal/
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-06-16 16:54:33 UTC; HughesJo
Author: Griffin Barrett [aut], Valentin Lucet [aut], Josie Hughes [aut, cre], Her Majesty the Queen in Right of Canada, as represented by the Minister of Environment and Climate Change [cph]
Maintainer: Josie Hughes <josie.hughes@ec.gc.ca>
Repository: CRAN
Date/Publication: 2022-06-17 10:30:02 UTC

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New package bayesassurance with initial version 0.1.0
Package: bayesassurance
Title: Bayesian Assurance Computation
Version: 0.1.0
Description: Computes Bayesian assurance under various settings characterized by different assumptions and objectives, including precision-based conditions, credible intervals, and goal functions. All simulation-based functions included in this package rely on a two-stage Bayesian method that assigns two distinct priors to evaluate the probability of observing a positive outcome, which addresses subtle limitations that take place when using the standard single-prior approach. For more information, please refer to Pan and Banerjee (2021) <arXiv:2112.03509>.
License: GPL (>= 2)
URL: https://github.com/jpan928/bayesassurance_rpackage
Depends: R (>= 3.5.0),
Imports: ggplot2 (>= 3.3.5), plotly (>= 4.10.0), plot3D (>= 1.4), pbapply (>= 1.5.0), dplyr (>= 1.0.8), MASS (>= 7.3.55), rlang (>= 1.0.2), stats (>= 4.0.5), mathjaxr (>= 1.5.2)
Maintainer: Jane Pan <jpan1@ucla.edu>
Encoding: UTF-8
Language: en-US
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-17 04:09:53 UTC; janepan
Author: Jane Pan [cre, aut], Sudipto Banerjee [aut]
Repository: CRAN
Date/Publication: 2022-06-17 10:40:17 UTC

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New package logrx with initial version 0.1.0
Package: logrx
Title: A Logging Utility Focus on Clinical Trial Programming Workflows
Version: 0.1.0
Description: A utility to facilitate the logging and review of R programs in clinical trial programming workflows.
License: MIT + file LICENSE
URL: https://github.com/atorus-research/logrx
BugReports: https://github.com/atorus-research/logrx/issues
Encoding: UTF-8
LazyData: true
Imports: dplyr, magrittr, purrr, rlang, stats, tidyr, stringr, miniUI, rstudioapi, shiny, sessioninfo, stringi, waiter, tibble
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, withr, covr, pkgdown, Tplyr, haven, here
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2022-06-10 16:47:05 UTC; nathan.kosiba
Author: Nathan Kosiba [aut, cre] , Thomas Bermudez [aut], Ben Straub [aut], Michael Rimler [aut], Nicholas Masel [aut], GSK/Atorus JPT [cph, fnd]
Maintainer: Nathan Kosiba <Nathan.Kosiba@atorusresearch.com>
Repository: CRAN
Date/Publication: 2022-06-17 09:50:02 UTC

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Package cbl updated to version 0.1.1 with previous version 0.1 dated 2022-06-10

Title: Causal Discovery under a Confounder Blanket
Description: Methods for learning causal relationships among a set of foreground variables X based on signals from a (potentially much larger) set of background variables Z, which are known non-descendants of X. The confounder blanket learner (CBL) uses sparse regression techniques to simultaneously perform many conditional independence tests, with complementary pairs stability selection to guarantee finite sample error control. CBL is sound and complete with respect to a so-called "lazy oracle", and works with both linear and nonlinear systems. For details, see Watson & Silva (2022) <arXiv:2205.05715>.
Author: David Watson [aut, cre]
Maintainer: David Watson <david.s.watson11@gmail.com>

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Package spatialsample updated to version 0.2.0 with previous version 0.1.0 dated 2021-03-04

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

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Package restoptr updated to version 1.0.1 with previous version 1.0.0 dated 2022-06-09

Title: Ecological Restoration Planning
Description: Flexible framework for ecological restoration planning. It aims to identify priority areas for restoration efforts using optimization algorithms (based on Justeau-Allaire et al. 2021 <doi:10.1111/1365-2664.13803>). Priority areas can be identified by maximizing landscape indices, such as the effective mesh size (Jaeger 2000 <doi:10.1023/A:1008129329289>), or the integral index of connectivity (Pascual-Hortal & Saura 2006 <doi:10.1007/s10980-006-0013-z>). Additionally, constraints can be used to ensure that priority areas exhibit particular characteristics (e.g., ensure that particular places are not selected for restoration, ensure that priority areas form a single contiguous network). Furthermore, multiple near-optimal solutions can be generated to explore multiple options in restoration planning. The package leverages the 'Choco-solver' software to perform optimization using constraint programming (CP) techniques (<https://choco-solver.org/>).
Author: Dimitri Justeau-Allaire [aut, cre] , Jeffrey O Hanson [aut] , Ghislain Vieilledent [aut] , Philippe Vismara [aut], Xavier Lorca [aut], Philippe Birnbaum [aut]
Maintainer: Dimitri Justeau-Allaire <dimitri.justeau@gmail.com>

Diff between restoptr versions 1.0.0 dated 2022-06-09 and 1.0.1 dated 2022-06-17

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Package mlrpro updated to version 0.1.1 with previous version 0.1.0 dated 2022-06-03

Title: Stepwise Regression with Assumptions Checking
Description: The stepwise regression with assumptions checking and the possible Box-Cox transformation.
Author: Thidarat Thongsri [aut, cre], Klairung Samart [aut]
Maintainer: Thidarat Thongsri <k.th.thidarat@gmail.com>

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Package ibawds updated to version 0.5.0 with previous version 0.4.0 dated 2022-04-25

Title: Functions and Datasets for the Data Science Course at IBAW
Description: A collection of useful functions and datasets for the Data Science Course at IBAW in Lucerne.
Author: Stefan Lanz
Maintainer: Stefan Lanz <slanz1137@gmail.com>

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Package geosapi updated to version 0.6-3 with previous version 0.6-2 dated 2022-06-14

Title: GeoServer REST API R Interface
Description: Provides an R interface to the GeoServer REST API, allowing to upload and publish data in a GeoServer web-application and expose data to OGC Web-Services. The package currently supports all CRUD (Create,Read,Update,Delete) operations on GeoServer workspaces, namespaces, datastores (stores of vector data), featuretypes, layers, styles, as well as vector data upload operations. For more information about the GeoServer REST API, see <https://docs.geoserver.org/stable/en/user/rest/>.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between geosapi versions 0.6-2 dated 2022-06-14 and 0.6-3 dated 2022-06-17

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Package fMultivar updated to version 3042.80.2 with previous version 3042.80.1 dated 2020-03-07

Title: Rmetrics - Analysing and Modeling Multivariate Financial Return Distributions
Description: Provides a collection of functions to manage, to investigate and to analyze bivariate and multivariate data sets of financial returns.
Author: Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb], CRAN team [ctb]
Maintainer: Tobias Setz <tobias.setz@live.com>

Diff between fMultivar versions 3042.80.1 dated 2020-03-07 and 3042.80.2 dated 2022-06-17

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Package fBasics updated to version 3042.89.2 with previous version 3042.89.1 dated 2020-03-07

Title: Rmetrics - Markets and Basic Statistics
Description: Provides a collection of functions to explore and to investigate basic properties of financial returns and related quantities. The covered fields include techniques of explorative data analysis and the investigation of distributional properties, including parameter estimation and hypothesis testing. Even more there are several utility functions for data handling and management.
Author: Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb] Martin Maechler [ctb], CRAN Team [ctb]
Maintainer: Tobias Setz <tobias.setz@live.com>

Diff between fBasics versions 3042.89.1 dated 2020-03-07 and 3042.89.2 dated 2022-06-17

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Package adaptr updated to version 1.1.0 with previous version 1.0.0 dated 2022-03-15

Title: Adaptive Trial Simulator
Description: Package that simulates adaptive clinical trials using adaptive stopping, adaptive arm dropping, and/or adaptive randomisation. Developed as part of the INCEPT (Intensive Care Platform Trial) project (<https://incept.dk/>), which is primarily supported by a grant from Sygeforsikringen "danmark" (<https://www.sygeforsikring.dk/>).
Author: Anders Granholm [aut, cre] , Benjamin Skov Kaas-Hansen [aut] , Aksel Karl Georg Jensen [ctb] , Theis Lange [ctb]
Maintainer: Anders Granholm <andersgran@gmail.com>

Diff between adaptr versions 1.0.0 dated 2022-03-15 and 1.1.0 dated 2022-06-17

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New package SqueakR with initial version 1.0.0
Package: SqueakR
Title: An Experiment Superstructure for 'DeepSqueak'
Version: 1.0.0
Description: A collection of functions intended to produce convenient visualizations for rodent vocalizations exported from 'DeepSqueak'. These visualizations include call frequency-clustered graphs, and density graphs grouped by frequency, custom labels identified in 'DeepSqueak', and call duration.
URL: https://github.com/osimon81/SqueakR
License: MIT + file LICENSE
Imports: dplyr, ggcorrplot, ggeasy, gghighlight, ggplot2, ggpubr, readxl, rlist
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: no
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-06-16 04:13:29 UTC; Simon
Author: Simon Ogundare [aut, cre]
Maintainer: Simon Ogundare <simon.ogundare@columbia.edu>
Repository: CRAN
Date/Publication: 2022-06-17 07:20:02 UTC

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Package nnTensor updated to version 1.1.7 with previous version 1.1.6 dated 2022-05-02

Title: Non-Negative Tensor Decomposition
Description: Some functions for performing non-negative matrix factorization, non-negative CANDECOMP/PARAFAC (CP) decomposition, non-negative Tucker decomposition, and generating toy model data. See Andrzej Cichock et al (2009) <doi:10.1002/9780470747278> and the reference section of GitHub README.md <https://github.com/rikenbit/nnTensor>, for details of the methods.
Author: Koki Tsuyuzaki [aut, cre], Manabu Ishii [aut], Itoshi Nikaido [aut]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

Diff between nnTensor versions 1.1.6 dated 2022-05-02 and 1.1.7 dated 2022-06-17

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New package MakeYourPalette with initial version 0.1.3
Package: MakeYourPalette
Title: Make Your Palette
Version: 0.1.3
Description: Functions that allow you to create your own color palette from an image, using the KMeans algorithm.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
URL: https://github.com/musajajorge/MakeYourPalette
Imports: raster, grDevices, rgdal, prismatic
NeedsCompilation: no
Packaged: 2022-06-16 03:53:16 UTC; jorge
Author: Jorge L. C. Musaja [aut, cre]
Maintainer: Jorge L. C. Musaja <musajajorge@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-17 07:20:05 UTC

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Package dittodb updated to version 0.1.4 with previous version 0.1.3 dated 2020-10-10

Title: A Test Environment for Database Requests
Description: Testing and documenting code that communicates with remote databases can be painful. Although the interaction with R is usually relatively simple (e.g. data(frames) passed to and from a database), because they rely on a separate service and the data there, testing them can be difficult to set up, unsustainable in a continuous integration environment, or impossible without replicating an entire production cluster. This package addresses that by allowing you to make recordings from your database interactions and then play them back while testing (or in other contexts) all without needing to spin up or have access to the database your code would typically connect to.
Author: Jonathan Keane [aut, cre] , Mauricio Vargas [aut] , Helen Miller [rev] , Etienne Racine [rev]
Maintainer: Jonathan Keane <jkeane@gmail.com>

Diff between dittodb versions 0.1.3 dated 2020-10-10 and 0.1.4 dated 2022-06-17

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Package vcmeta updated to version 1.1.0 with previous version 1.0.0 dated 2021-08-21

Title: Varying Coefficient Meta-Analysis
Description: Implements functions for varying coefficient meta-analysis methods. These methods do not assume effect size homogeneity. Subgroup effect size comparisons, general linear effect size contrasts, and linear models of effect sizes based on varying coefficient methods can be used to describe effect size heterogeneity. Varying coefficient meta-analysis methods do not require the unrealistic assumptions of the traditional fixed-effect and random-effects meta-analysis methods. For details see: Statistical Methods for Psychologists, Volume 5, <https://dgbonett.sites.ucsc.edu/>.
Author: Douglas G. Bonett [aut, cre], Robert J. Calin-Jageman [ctb]
Maintainer: Douglas G. Bonett <dgbonett@ucsc.edu>

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New package regr.easy with initial version 1.0.0
Package: regr.easy
Title: Easy Linear, Quadratic and Cubic Regression Models
Version: 1.0.0
Maintainer: Wagner Martins dos Santos <wagnnerms97@gmail.com>
Description: Focused on linear, quadratic and cubic regression models, it has a function for calculating the models, obtaining a list with their parameters, and a function for making the graphs for the respective models.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, stargazer
NeedsCompilation: no
Packaged: 2022-06-15 16:44:00 UTC; wagne
Author: Wagner Martins dos Santos [aut, cre]
Repository: CRAN
Date/Publication: 2022-06-17 06:50:02 UTC

More information about regr.easy at CRAN
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Package readrba updated to version 0.1.3 with previous version 0.1.2 dated 2021-10-01

Title: Download and Tidy Data from the Reserve Bank of Australia
Description: Download up-to-date data from the Reserve Bank of Australia in a tidy data frame. Package includes functions to download current and historical statistical tables (<https://www.rba.gov.au/statistics/tables/>) and forecasts (<https://www.rba.gov.au/publications/smp/forecasts-archive.html>). Data includes a broad range of Australian macroeconomic and financial time series.
Author: Matt Cowgill [aut, cre] , Angus Moore [ctb]
Maintainer: Matt Cowgill <mattcowgill@gmail.com>

Diff between readrba versions 0.1.2 dated 2021-10-01 and 0.1.3 dated 2022-06-17

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New package Morphoscape with initial version 1.0.0
Package: Morphoscape
Title: Computation and Visualization of Adaptive Landscapes
Version: 1.0.0
Description: Implements adaptive landscape methods first described by Polly et al. (2016) <doi:10.1080/02724634.2016.1111225> for the integration, analysis and visualization of biological trait data on a phenotypic morphospace - typically defined by shape metrics.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: concaveman, ggplot2, sp, automap
Suggests: alphahull, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://blakedickson.github.io/Morphoscape/
NeedsCompilation: no
Packaged: 2022-06-15 18:15:00 UTC; Blake Dickson
Author: Blake Dickson [aut, cre] , Stephanie Pierce [aut] , Noah Greifer [aut]
Maintainer: Blake Dickson <blake.dickson@duke.edu>
Repository: CRAN
Date/Publication: 2022-06-17 07:00:07 UTC

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Package GWmodel updated to version 2.2-9 with previous version 2.2-8 dated 2021-10-09

Title: Geographically-Weighted Models
Description: Techniques from a particular branch of spatial statistics,termed geographically-weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localised calibration provides a better description. 'GWmodel' includes functions to calibrate: GW summary statistics (Brunsdon et al., 2002)<doi: 10.1016/s0198-9715(01)00009-6>, GW principal components analysis (Harris et al., 2011)<doi: 10.1080/13658816.2011.554838>, GW discriminant analysis (Brunsdon et al., 2007)<doi: 10.1111/j.1538-4632.2007.00709.x> and various forms of GW regression (Brunsdon et al., 1996)<doi: 10.1111/j.1538-4632.1996.tb00936.x>; some of which are provided in basic and robust (outlier resistant) forms.
Author: Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Daisuke Murakami[aut],Isabella Gollini[ctb], Yigong Hu[ctb], Fiona H Evans[ctb]
Maintainer: Binbin Lu <binbinlu@whu.edu.cn>

Diff between GWmodel versions 2.2-8 dated 2021-10-09 and 2.2-9 dated 2022-06-17

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Package flexsurvcure updated to version 1.3.0 with previous version 1.2.0 dated 2020-08-25

Title: Flexible Parametric Cure Models
Description: Flexible parametric mixture and non-mixture cure models for time-to-event data.
Author: Jordan Amdahl [aut, cre]
Maintainer: Jordan Amdahl <jrdnmdhl@gmail.com>

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Package ComparisonSurv updated to version 1.1.0 with previous version 1.0.9 dated 2020-05-18

Title: Comparison of Survival Curves Between Two Groups
Description: Various statistical methods for survival analysis in comparing survival curves between two groups, including overall hypothesis tests described in Li et al. (2015) <doi:10.1371/journal.pone.0116774> and Huang et al. (2020) <doi:10.1080/03610918.2020.1753075>, fixed-point tests in Klein et al. (2007) <doi:10.1002/sim.2864>, short-term tests, and long-term tests in Logan et al. (2008) <doi:10.1111/j.1541-0420.2007.00975.x>. Some commonly used descriptive statistics and plots are also included.
Author: Jingjing Lyu [aut], Zheng Chen [cre], Huimin Li [ctb], Jinbao Chen [ctb], Xinghui Huang [ctb]
Maintainer: Zheng Chen <zheng-chen@hotmail.com>

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Package NFP (with last version 0.99.4) was removed from CRAN

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

2021-04-12 0.99.4

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Package CEDA (with last version 1.0.2) was removed from CRAN

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

2022-01-07 1.0.2

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Package asypow (with last version 2015.6.25) was removed from CRAN

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

2015-06-26 2015.6.25
2013-09-24 2013.9-1
2012-04-10 2012.04-1
2008-03-02 1.2.2
2007-09-27 1.2.1
2005-10-07 1.2

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