Mon, 15 May 2023

Package eventPred updated to version 0.1.3 with previous version 0.1.2 dated 2023-05-05

Title: Event Prediction
Description: Predicts enrollment and events at the design stage using assumed enrollment and treatment-specific time-to-event models, or at the analysis stage using blinded data and specified enrollment and time-to-event models through simulations.
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

Diff between eventPred versions 0.1.2 dated 2023-05-05 and 0.1.3 dated 2023-05-15

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Package VarReg updated to version 2.0 with previous version 1.0.2 dated 2018-04-24

Title: Semi-Parametric Variance Regression
Description: Methods for fitting semi-parametric mean and variance models, with normal or censored data. Extended to allow a regression in the location, scale and shape parameters, and further for multiple regression in each.
Author: Kristy Robledo [aut, cre], Ian Marschner [ths]
Maintainer: Kristy Robledo <robledo.kristy@gmail.com>

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Package MCPModBC updated to version 1.1 with previous version 1.0 dated 2023-01-23

Title: Improved Inference in Multiple Comparison Procedure – Modelling
Description: Implementation of Multiple Comparison Procedures with Modeling (MCP-Mod) procedure with bias-corrected estimators and second-order covariance matrices as described in Diniz, Gallardo and Magalhaes (2023) <doi:10.1002/pst.2303>.
Author: Marcio Diniz [aut], Diego Gallardo [aut, cre], Tiago Magalhaes [aut]
Maintainer: Diego Gallardo <diego.gallardo@uda.cl>

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Package islasso updated to version 1.5.1 with previous version 1.5.0 dated 2023-05-08

Title: The Induced Smoothed Lasso
Description: An implementation of the induced smoothing (IS) idea to lasso regularization models to allow estimation and inference on the model coefficients (currently hypothesis testing only). Linear, logistic, Poisson and gamma regressions with several link functions are implemented. The algorithm is described in the original paper; see <doi:10.1177/0962280219842890> and discussed in a tutorial <doi:10.13140/RG.2.2.16360.11521>.
Author: Gianluca Sottile [aut, cre], Giovanna Cilluffo [aut, ctb], Vito MR Muggeo [aut, ctb]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>

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Package archeoViz updated to version 1.1.1 with previous version 1.0.0 dated 2023-02-27

Title: Visualisation, Exploration, and Web Communication of Archaeological Spatial Data
Description: An R 'Shiny' application for the visualisation, interactive exploration, and web communication of archaeological excavation data. It includes interactive 3D and 2D visualisations, generation of cross sections and maps of the remains, basic spatial analysis methods (convex hull, regression surfaces, 2D kernel density estimation), and excavation timeline visualisation. 'archeoViz' can be used locally or deployed on a server, either with interactive input of data or with a static data set.
Author: Sebastien Plutniak [aut, cre] , Renata Araujo [ctb] , Sara Giardino [ctb]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>

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Package admisc updated to version 0.32 with previous version 0.31 dated 2023-03-02

Title: Adrian Dusa's Miscellaneous
Description: Contains functions used across packages 'DDIwR', 'QCA' and 'venn'. Interprets and translates, factorizes and negates SOP - Sum of Products expressions, for both binary and multi-value crisp sets, and extracts information (set names, set values) from those expressions. Other functions perform various other checks if possibly numeric (even if all numbers reside in a character vector) and coerce to numeric, or check if the numbers are whole. It also offers, among many others, a highly versatile recoding routine and some more flexible alternatives to the base function 'with()' and 'within()'. SOP simplification functions in this package use related minimization from package 'QCA', which is recommended to be installed despite not being listed in the Imports field, due to circular dependency issues.
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

Diff between admisc versions 0.31 dated 2023-03-02 and 0.32 dated 2023-05-15

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Package extrafrail updated to version 1.6 with previous version 1.5 dated 2023-04-05

Title: Estimation and Additional Tools for Alternative Shared Frailty Models
Description: Provide estimation and data generation tools for some new multivariate frailty models. This version includes the gamma, inverse Gaussian, weighted Lindley and Birnbaum-Saunders as the distribution for the frailty terms. For the basal model, it is considered a parametric approach based on the exponential, Weibull and the piecewise exponential distributions as well as a semiparametric approach. For details, see Gallardo and Bourguignon (2022) <arXiv:2206.12973>.
Author: Diego Gallardo [aut, cre], Marcelo Bourguignon [aut]
Maintainer: Diego Gallardo <diego.gallardo@uda.cl>

Diff between extrafrail versions 1.5 dated 2023-04-05 and 1.6 dated 2023-05-15

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Package ECOSolveR updated to version 0.5.5 with previous version 0.5.4 dated 2021-01-14

Title: Embedded Conic Solver in R
Description: R interface to the Embedded COnic Solver (ECOS), an efficient and robust C library for convex problems. Conic and equality constraints can be specified in addition to integer and boolean variable constraints for mixed-integer problems. This R interface is inspired by the python interface and has similar calling conventions.
Author: Anqi Fu [aut], Balasubramanian Narasimhan [aut, cre], Florian Schwendinger [ctb], Martin Maechler [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>

Diff between ECOSolveR versions 0.5.4 dated 2021-01-14 and 0.5.5 dated 2023-05-15

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Package iMRMC updated to version 1.2.5 with previous version 1.2.4 dated 2022-02-24

Title: Multi-Reader, Multi-Case Analysis Methods (ROC, Agreement, and Other Metrics)
Description: Do Multi-Reader, Multi-Case (MRMC) analyses of data from imaging studies where clinicians (readers) evaluate patient images (cases). What does this mean? ... Many imaging studies are designed so that every reader reads every case in all modalities, a fully-crossed study. In this case, the data is cross-correlated, and we consider the readers and cases to be cross-correlated random effects. An MRMC analysis accounts for the variability and correlations from the readers and cases when estimating variances, confidence intervals, and p-values. The functions in this package can treat arbitrary study designs and studies with missing data, not just fully-crossed study designs. The initial package analyzes the reader-average area under the receiver operating characteristic (ROC) curve with U-statistics according to Gallas, Bandos, Samuelson, and Wagner 2009 <doi:10.1080/03610920802610084>. Additional functions analyze other endpoints with U-statistics (binary performance and score differ [...truncated...]
Author: Brandon Gallas
Maintainer: Brandon Gallas <Brandon.Gallas@fda.hhs.gov>

Diff between iMRMC versions 1.2.4 dated 2022-02-24 and 1.2.5 dated 2023-05-15

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Package UComp updated to version 4.0.1 with previous version 4.0.0 dated 2023-05-04

Title: Automatic Unobserved Components and Other Time Series Models
Description: Comprehensive analysis and forecasting of univariate time series using automatic unobserved components models and algorithms. Harvey, AC (1989) <doi:10.1017/CBO9781107049994>. Pedregal DJ and Young PC (2002) <doi:10.1002/9780470996430>. Durbin J and Koopman SJ (2012) <doi:10.1093/acprof:oso/9780199641178.001.0001>. Hyndman RJ, Koehler AB, Ord JK, and Snyder RD (2008) <doi:10.1007/978-3-540-71918-2>.
Author: Diego J. Pedregal [aut, cre]
Maintainer: Diego J. Pedregal <Diego.Pedregal@uclm.es>

Diff between UComp versions 4.0.0 dated 2023-05-04 and 4.0.1 dated 2023-05-15

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New package StepGWR with initial version 0.1.0
Package: StepGWR
Title: A Hybrid Spatial Model for Prediction and Capturing Spatial Variation in the Data
Version: 0.1.0
Depends: R(>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Description: It is a hybrid spatial model that combines the variable selection capabilities of stepwise regression methods with the predictive power of the Geographically Weighted Regression(GWR) model.The developed hybrid model follows a two-step approach where the stepwise variable selection method is applied first to identify the subset of predictors that have the most significant impact on the response variable, and then a GWR model is fitted using those selected variables for spatial prediction at test or unknown locations. For method details,see Leung, Y., Mei, C. L. and Zhang, W. X. (2000).<DOI:10.1068/a3162>.This hybrid spatial model aims to improve the accuracy and interpretability of GWR predictions by selecting a subset of relevant variables through a stepwise selection process.This approach is particularly useful for modeling spatially varying relationships and improving the accuracy of spatial predictions.
License: GPL (>= 2.0)
Encoding: UTF-8
Imports: stats, qpdf, numbers,MASS
NeedsCompilation: no
Packaged: 2023-05-15 10:35:54 UTC; nobin ch paul
Author: Nobin Chandra Paul [aut, cre, cph], Moumita Baishya [aut]
Maintainer: Nobin Chandra Paul <nobin.paul@icar.gov.in>
Repository: CRAN
Date/Publication: 2023-05-15 19:10:16 UTC

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New package ssMRCD with initial version 0.1.0
Package: ssMRCD
Title: Spatially Smoothed MRCD Estimator
Version: 0.1.0
Maintainer: Patricia Puchhammer <patricia.puchhammer@tuwien.ac.at>
Description: Estimation of the Spatially Smoothed Minimum Regularized Determinant (ssMRCD) estimator and its usage in an ssMRCD-based outlier detection method as described in Puchhammer and Filzmoser (2023) <doi:10.48550/arXiv.2305.05371>. Included are also complementary visualization and parameter tuning tools.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, grDevices, graphics, robustbase, scales, car, dbscan, plot3D, dplyr, ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-15 08:33:58 UTC; puchhammer
Author: Patricia Puchhammer [aut, cre, cph], Peter Filzmoser [aut]
Repository: CRAN
Date/Publication: 2023-05-15 19:20:02 UTC

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New package samadb with initial version 0.2.6
Package: samadb
Title: South Africa Macroeconomic Database API
Version: 0.2.6
Description: An R API providing access to a relational database with macroeconomic time series data for South Africa, obtained from the South African Reserve Bank (SARB) and Statistics South Africa (STATSSA), and updated on a weekly basis via the EconData <https://www.econdata.co.za/> platform and automated scraping of the SARB and STATSSA websites. The database is maintained at the Department of Economics at Stellenbosch University.
BugReports: https://github.com/Stellenbosch-Econometrics/SAMADB-Issues/issues
License: GPL-3
Encoding: UTF-8
Imports: DBI, RMySQL, writexl, data.table, collapse (>= 1.8.0)
Depends: R (>= 3.3.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-05-15 10:11:36 UTC; sebastiankrantz
Author: Sebastian Krantz [aut, cre]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>
Repository: CRAN
Date/Publication: 2023-05-15 19:10:02 UTC

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Package nestedcv updated to version 0.6.2 with previous version 0.6.1 dated 2023-04-16

Title: Nested Cross-Validation with 'glmnet' and 'caret'
Description: Implements nested k*l-fold cross-validation for lasso and elastic-net regularised linear models via the 'glmnet' package and other machine learning models via the 'caret' package. Cross-validation of 'glmnet' alpha mixing parameter and embedded fast filter functions for feature selection are provided. Described as double cross-validation by Stone (1977) <doi:10.1111/j.2517-6161.1977.tb01603.x>. Also implemented is a method using outer CV to measure unbiased model performance metrics when fitting Bayesian linear and logistic regression shrinkage models using the horseshoe prior over parameters to encourage a sparse model as described by Piironen & Vehtari (2017) <doi:10.1214/17-EJS1337SI>.
Author: Myles Lewis [aut, cre] , Athina Spiliopoulou [aut] , Katriona Goldmann [aut]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

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Package clock updated to version 0.7.0 with previous version 0.6.1 dated 2022-07-18

Title: Date-Time Types and Tools
Description: Provides a comprehensive library for date-time manipulations using a new family of orthogonal date-time classes (durations, time points, zoned-times, and calendars) that partition responsibilities so that the complexities of time zones are only considered when they are really needed. Capabilities include: date-time parsing, formatting, arithmetic, extraction and updating of components, and rounding.
Author: Davis Vaughan [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

Diff between clock versions 0.6.1 dated 2022-07-18 and 0.7.0 dated 2023-05-15

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More information about clock at CRAN
Permanent link

New package brsim with initial version 0.1
Package: brsim
Title: Brainerd-Robinson Similarity Coefficient Matrix
Version: 0.1
Description: Provides the facility to calculate the Brainerd-Robinson similarity coefficient for the rows of an input table, and to calculate the significance of each coefficient based on a permutation approach; optionally, hierarchical agglomerative clustering can be performed and the silhouette method is used to identify an optimal number of clusters.
Depends: R (>= 4.0.0)
Imports: cluster (>= 2.1.4), corrplot (>= 0.92), grDevices (>= 4.2.2), RcmdrMisc (>= 2.7.0), stats (>= 4.2.0)
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-15 11:09:43 UTC; gianmarcoalberti
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-15 19:20:05 UTC

More information about brsim at CRAN
Permanent link

New package ActuarialM with initial version 0.1.0
Package: ActuarialM
Title: Computation of Actuarial Measures Using Bell G Family
Version: 0.1.0
Author: Muhammad Imran [aut, cre], M.H. Tahir [aut], Saima Shakoor [aut]
Maintainer: Muhammad Imran <imranshakoor84@yahoo.com>
Depends: R (>= 2.0)
Imports: stats
Description: It computes two frequently applied actuarial measures, the expected shortfall and the value at risk. Seven well-known classical distributions in connection to the Bell generalized family are used as follows: Bell-exponential distribution, Bell-extended exponential distribution, Bell-Weibull distribution, Bell-extended Weibull distribution, Bell-Lomax distribution, Bell-Burr-12 distribution, and Bell-Burr-X distribution. Related works include: a) Fayomi, A., Tahir, M. H., Algarni, A., Imran, M., & Jamal, F. (2022). "A new useful exponential model with applications to quality control and actuarial data". Computational Intelligence and Neuroscience, 2022. <doi:10.1155/2022/2489998>. b) Alsadat, N., Imran, M., Tahir, M. H., Jamal, F., Ahmad, H., & Elgarhy, M. (2023). "Compounded Bell-G class of statistical models with applications to COVID-19 and actuarial data". Open Physics, 21(1), 20220242. <doi:10.1515/phys-2022-0242>.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-15 09:12:34 UTC; Amir computers
Repository: CRAN
Date/Publication: 2023-05-15 19:06:06 UTC

More information about ActuarialM at CRAN
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Package prevR updated to version 5.0.0 with previous version 4.0.1 dated 2022-11-21

Title: Estimating Regional Trends of a Prevalence from a DHS and Similar Surveys
Description: Spatial estimation of a prevalence surface or a relative risks surface, using data from a Demographic and Health Survey (DHS) or an analog survey, see Larmarange et al. (2011) <doi:10.4000/cybergeo.24606>.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph.larmarange@ird.fr>

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Permanent link

Package GWASinspector updated to version 1.6.4 with previous version 1.6.1 dated 2023-01-09

Title: Comprehensive and Easy to Use Quality Control of GWAS Results
Description: When evaluating the results of a genome-wide association study (GWAS), it is important to perform a quality control to ensure that the results are valid, complete, correctly formatted, and, in case of meta-analysis, consistent with other studies that have applied the same analysis. This package was developed to facilitate and streamline this process and provide the user with a comprehensive report.
Author: Alireza Ani [aut, cre], Peter J. van der Most [aut], Ahmad Vaez [aut], Ilja M. Nolte [aut]
Maintainer: Alireza Ani <a.ani@umcg.nl>

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Package GetTDData updated to version 1.5.4 with previous version 1.5.2 dated 2023-01-06

Title: Get Data for Brazilian Bonds (Tesouro Direto)
Description: Downloads and aggregates data for Brazilian government issued bonds directly from the website of Tesouro Direto <https://www.tesourodireto.com.br/>.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

Diff between GetTDData versions 1.5.2 dated 2023-01-06 and 1.5.4 dated 2023-05-15

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Package smdocker updated to version 0.1.3 with previous version 0.1.2 dated 2023-03-10

Title: Build 'Docker Images' in 'Amazon SageMaker Studio' using 'Amazon Web Service CodeBuild'
Description: Allows users to easily build custom 'docker images' <https://docs.docker.com/> from 'Amazon Web Service Sagemaker' <https://aws.amazon.com/sagemaker/> using 'Amazon Web Service CodeBuild' <https://aws.amazon.com/codebuild/>.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between smdocker versions 0.1.2 dated 2023-03-10 and 0.1.3 dated 2023-05-15

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Package estadistica updated to version 0.2.3 with previous version 0.2.2 dated 2022-09-05

Title: Fundamentos De Estadistica Descriptiva e Inferencial
Description: Este paquete pretende apoyar el proceso enseñanza-aprendizaje de estadística descriptiva e inferencial. Las funciones contenidas en el paquete 'estadistica' cubren los conceptos básicos estudiados en un curso introductorio. Muchos conceptos son ilustrados con gráficos dinámicos o web apps para facilitar su comprensión. This package aims to help the teaching-learning process of descriptive and inferential statistics. The functions contained in the package 'estadistica' cover the basic concepts studied in a statistics introductory course. Many concepts are illustrated with dynamic graphs or web apps to make the understanding easier. See: Esteban et al. (2005, ISBN: 9788497323741), Newbold et al.(2019, ISBN:9781292315034 ), Murgui et al. (2002, ISBN:9788484424673) .
Author: Vicente Coll-Serrano [aut, cre], Rosario Martinez Verdú [aut], Cristina Pardo Garcia [ctb]
Maintainer: Vicente Coll-Serrano <estadistic@uv.es>

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Package bimets updated to version 3.0.1 with previous version 2.3.0 dated 2023-02-09

Title: Time Series and Econometric Modeling
Description: Time series analysis, (dis)aggregation and manipulation, e.g. time series extension, merge, projection, lag, lead, delta, moving and cumulative average and product, selection by index, date and year-period, conversion to daily, monthly, quarterly, (semi)annually. Simultaneous equation models definition, estimation, simulation and forecasting with coefficient restrictions, error autocorrelation, exogenization, add-factors, impact and interim multipliers analysis, conditional equation evaluation, endogenous targeting and model renormalization, structural stability, stochastic simulation and forecast, optimal control.
Author: Andrea Luciani [aut, cre] , Roberto Stok [aut], Bank of Italy [cph]
Maintainer: Andrea Luciani <andrea.luciani@bancaditalia.it>

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Package semPower updated to version 2.0.0 with previous version 1.2.0 dated 2021-11-01

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

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Package OPC updated to version 0.0.2 with previous version 0.0.1 dated 2022-03-30

Title: The Online Principal Component Estimation Method
Description: The online principal component method can process the online data set. The philosophy of the package is described in Guo G. (2018) <doi:10.1080/10485252.2018.1531130>.
Author: Chunjie Wei [aut, cre], Guangbao Guo [aut]
Maintainer: Chunjie Wei <wcj1236@163.com>

Diff between OPC versions 0.0.1 dated 2022-03-30 and 0.0.2 dated 2023-05-15

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Package cstime updated to version 2023.5.3 with previous version 2022.11.22 dated 2022-12-05

Title: Date and Time Functions for Public Health Purposes
Description: Provides easy and consistent time conversion for public health purposes. The time conversion functions provided here are between date, ISO week, ISO yearweek, ISO year, calendar month/year, season, season week.
Author: Chi Zhang [aut, cre] , Richard Aubrey White [aut]
Maintainer: Chi Zhang <andreachizhang@yahoo.com>

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Package bubbleHeatmap updated to version 0.1.1 with previous version 0.1.0 dated 2023-02-17

Title: Produces 'bubbleHeatmap' Plots for Visualising Metabolomics Data
Description: Plotting package based on the grid system, combining elements of a bubble plot and heatmap to conveniently display two numerical variables, (represented by color and size) grouped by categorical variables on the x and y axes. This is a useful alternative to a forest plot when the data can be grouped in two dimensions, such as predictors x outcomes. It has particular advantages for visualising the metabolic measures produced by the 'Nightingale Health' metabolomics platform, and templates are included for automatically generating figures from these datasets.
Author: Ruth Boxall [aut, cre], Michael Holmes [ctb], Robin Walters [ctb]
Maintainer: Ruth Boxall <ruth.boxall@ndph.ox.ac.uk>

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Package webexercises updated to version 1.1.0 with previous version 1.0.0 dated 2021-09-15

Title: Create Interactive Web Exercises in 'R Markdown' (Formerly 'webex')
Description: Functions for easily creating interactive web pages using 'R Markdown' that students can use in self-guided learning.
Author: Dale Barr [aut], Lisa DeBruine [aut, cre]
Maintainer: Lisa DeBruine <debruine@gmail.com>

Diff between webexercises versions 1.0.0 dated 2021-09-15 and 1.1.0 dated 2023-05-15

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Package rticles updated to version 0.25 with previous version 0.24 dated 2022-08-25

Title: Article Formats for R Markdown
Description: A suite of custom R Markdown formats and templates for authoring journal articles and conference submissions.
Author: JJ Allaire [aut], Yihui Xie [aut] , Christophe Dervieux [aut, cre] , Posit Software, PBC [cph, fnd], R Foundation [aut, cph], Hadley Wickham [aut], Journal of Statistical Software [aut, cph], Ramnath Vaidyanathan [aut, cph], Association for Computing [...truncated...]
Maintainer: Christophe Dervieux <cderv@posit.co>

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 rticles-0.25/rticles/NAMESPACE                                                                       |    1 
 rticles-0.25/rticles/NEWS.md                                                                         |   48 
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 rticles-0.25/rticles/R/oup_article.R                                                                 |    2 
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New package pycno with initial version 1.3
Package: pycno
Title: Pycnophylactic Interpolation
Version: 1.3
Date: 2023-05-09
Author: Chris Brunsdon
Maintainer: Francesca Bitonti <francesca.bitonti@phd.unict.it>
Depends: stats, sp, maptools, rgeos, methods,utils
Description: Given a SpatialPolygonsDataFrame and a set of populations for each polygon, compute a population density estimate based on Tobler's pycnophylactic interpolation algorithm. The result is a SpatialGridDataFrame. Methods are described in Tobler Waldo R. (1979) <doi:10.1080/01621459.1979.10481647>.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2023-05-15 07:28:32 UTC; Fra
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2023-05-15 09:10:01 UTC

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Package gasfluxes updated to version 0.5 with previous version 0.4-4 dated 2020-03-27

Title: Greenhouse Gas Flux Calculation from Chamber Measurements
Description: Functions for greenhouse gas flux calculation from chamber measurements.
Author: Roland Fuss [aut, cre], Roman Hueppi [ctb]
Maintainer: Roland Fuss <roland.fuss@thuenen.de>

Diff between gasfluxes versions 0.4-4 dated 2020-03-27 and 0.5 dated 2023-05-15

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New package boostingDEA with initial version 0.1.0
Package: boostingDEA
Title: A Boosting Approach to Data Envelopment Analysis
Version: 0.1.0
Maintainer: Maria D. Guillen <maria.guilleng@umh.es>
Description: Includes functions to estimate production frontiers and make ideal output predictions in the Data Envelopment Analysis (DEA) context using both standard models from DEA and Free Disposal Hull (FDH) and boosting techniques. In particular, EATBoosting (Guillen et al., 2023 <doi:10.1016/j.eswa.2022.119134>) and MARSBoosting. Moreover, the package includes code for estimating several technical efficiency measures using different models such as the input and output-oriented radial measures, the input and output-oriented Russell measures, the Directional Distance Function (DDF), the Weighted Additive Measure (WAM) and the Slacks-Based Measure (SBM).
License: AGPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: Rglpk, dplyr, lpSolveAPI, stats, MLmetrics, methods
URL: https://github.com/itsmeryguillen/boostingDEA
BugReports: https://github.com/itsmeryguillen/boostingDEA/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2023-05-15 07:58:20 UTC; Master
Author: Maria D. Guillen [cre, aut] , Juan Aparicio [aut] , Victor Espana [aut]
Repository: CRAN
Date/Publication: 2023-05-15 09:10:04 UTC

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New package weatherindices with initial version 0.1.0
Package: weatherindices
Title: Calculate Weather Indices
Version: 0.1.0
Description: Weather indices represent the overall weekly effect of a weather variable on crop yield throughout the cropping season. This package contains functions that can convert the weekly weather data into yearly weighted Weather indices with weights being the correlation coefficient between weekly weather data over the years and crop yield over the years. This can be done for an individual weather variable and for two weather variables at a time as the interaction effect. This method was first devised by Jain, RC, Agrawal R, and Jha, MP (1980), "Effect of climatic variables on rice yield and its forecast",MAUSAM, 31(4), 591–596, <doi:10.54302/mausam.v31i4.3477>. Later, the method have been used by various researchers and the latest can found in Gupta, AK, Sarkar, KA, Dhakre, DS, & Bhattacharya, D (2022), "Weather Based Potato Yield Modelling using Statistical and Machine Learning Technique",Environment and Ecology, 40(3B), 1444–1449,<https://www.environmentandecology.com/volume-4 [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-05-12 19:50:27 UTC; dell
Author: Akhilesh Kumar Gupta [aut, cph, cre] , Kader Ali Sarkar [ths], Digvijay Singh Dhakre [ths], Debasis Bhattacharya [ths]
Maintainer: Akhilesh Kumar Gupta <akhileshgupta.ouat@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-15 08:30:02 UTC

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New package nestedLogit with initial version 0.2.1
Package: nestedLogit
Title: Nested Dichotomy Logistic Regression Models
Version: 0.2.1
Description: Provides functions for specifying and fitting nested dichotomy logistic regression models for a multi-category response and methods for summarising those models. Nested dichotomies are statistically independent, and hence provide an additive decomposition of tests for the overall 'polytomous' response. When the dichotomies make sense substantively, this method can be a simpler alternative to the standard 'multinomial' logistic model which compares response categories to a reference level. See: J. Fox (2016), "Applied Regression Analysis and Generalized Linear Models", 3rd Ed., ISBN 1452205663.
License: GPL (>= 2)
URL: https://github.com/friendly/nestedLogit
BugReports: https://github.com/friendly/nestedLogit/issues
Depends: R (>= 3.5.0)
Imports: broom, car, dplyr, graphics, grDevices, stats
Suggests: carData, directlabels, geomtextpath, ggplot2, here, knitr, nnet, rmarkdown, spelling, testthat, tidyr
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
LazyData: TRUE
NeedsCompilation: no
Packaged: 2023-05-12 15:09:47 UTC; friendly
Author: John Fox [aut] , Michael Friendly [aut, cre] , Achim Zeileis [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>
Repository: CRAN
Date/Publication: 2023-05-15 08:20:02 UTC

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New package intrinsicFRP with initial version 0.1.0
Package: intrinsicFRP
Title: Adaptive Estimation of Intrinsic Factor Risk Premia
Version: 0.1.0
Date: 2023-05-12
Maintainer: Alberto Quaini <alberto91quaini@gmail.com>
Description: Efficient computation of intrinsic and adaptive intrinsic factor risk premia and their standard errors. Intrinsic factor risk premia are defined as the negative factor covariance with the SDF projection on test asset returns. As opposed to benchmark notions of factor risk premia, they are well-defined even in presence of useless and weak factors, they do not depend on the degree of misspecification of the factor model, and are one-to-one linked to two-pass mimicking factor risk premia coefficients, whenever the latter are also well-defined.
License: GPL (>= 3)
URL: https://github.com/a91quaini/intrinsicFRP
BugReports: https://github.com/a91quaini/intrinsicFRP/issues
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: graphics, Rcpp, stats
Depends: R (>= 2.10)
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2023-05-12 17:16:10 UTC; albertoquaini
Author: Alberto Quaini [aut, cre, cph]
Repository: CRAN
Date/Publication: 2023-05-15 08:20:05 UTC

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New package denguedatahub with initial version 1.0.4
Package: denguedatahub
Title: A Tidy Format Datasets of Dengue by Country
Version: 1.0.4
Description: Provides a weekly, monthly, yearly summary of dengue cases by state/ province/ country.
License: GPL-3
URL: https://denguedatahub.netlify.app/
BugReports: https://github.com/thiyangt/denguedatahub/issues
Encoding: UTF-8
Imports: dplyr, rlang (>= 0.4.11)
Depends: R (>= 3.5.0)
LazyData: true
Suggests: roxygen2, tsibble
NeedsCompilation: no
Packaged: 2023-05-13 06:09:14 UTC; thiyangashaminitalagala
Author: Thiyanga S. Talagala [aut, cre]
Maintainer: Thiyanga S. Talagala <ttalagala@sjp.ac.lk>
Repository: CRAN
Date/Publication: 2023-05-15 08:40:02 UTC

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New package ddsPLS with initial version 1.2.0
Package: ddsPLS
Version: 1.2.0
Date: 2023-05-12
Title: Data-Driven Sparse Partial Least Squares
Description: Allows to build Data-Driven Sparse Partial Least Squares models with high-dimensional settings. Number of components and regularization coefficients are automatically set. It comes with visualization functions and uses 'Rcpp' functions for fast computations and 'doParallel' to parallelize bootstrap operations. An applet has been developed to apply this procedure. This is based on H Lorenzo, O Cloarec, R Thiebaut, J Saracco (2021) <doi:10.1002/sam.11558>.
Maintainer: Hadrien Lorenzo <hadrien.lorenzo.2015@gmail.com>
License: MIT + file LICENSE
Encoding: UTF-8
ByteCompile: true
Depends: foreach, doParallel, shiny
Imports: Rcpp (>= 1.0.5)
LinkingTo: Rcpp, RcppEigen
Suggests: knitr,rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-05-12 14:58:47 UTC; hlorenzo
Author: Hadrien Lorenzo [aut, cre], Misbah Razzaq [ctb], Olivier Cloarec [aut], Jerome Saracco [aut]
Repository: CRAN
Date/Publication: 2023-05-15 08:20:09 UTC

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Package spatstat.model updated to version 3.2-4 with previous version 3.2-3 dated 2023-04-21

Title: Parametric Statistical Modelling and Inference for the 'spatstat' Family
Description: Functionality for parametric statistical modelling and inference for spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Supports parametric modelling, formal statistical inference, and model validation. Parametric models include Poisson point processes, Cox point processes, Neyman-Scott cluster processes, Gibbs point processes and determinantal point processes. Models can be fitted to data using maximum likelihood, maximum pseudolikelihood, maximum composite likelihood and the method of minimum contrast. Fitted models can be simulated and predicted. Formal inference includes hypothesis tests (quadrat counting tests, Cressie-Read tests, Clark-Evans test, Berman test, Diggle-Cressie-Loosmore-Ford test, scan test, studentised permutation test, segregation test, ANOVA tests of fitted models, adjusted composite likelihood ratio test, envelope t [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb, cph], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.model versions 3.2-3 dated 2023-04-21 and 3.2-4 dated 2023-05-15

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Package ComRiskModel updated to version 0.2.0 with previous version 0.1.0 dated 2023-05-08

Title: Fitting of Complementary Risk Models
Description: Evaluates the probability density function (PDF), cumulative distribution function (CDF), quantile function (QF), random numbers and maximum likelihood estimates (MLEs) of well-known complementary binomial-G, complementary negative binomial-G and complementary geometric-G families of distributions taking baseline models such as exponential, extended exponential, Weibull, extended Weibull, Fisk, Lomax, Burr-XII and Burr-X. The functions also allow computing the goodness-of-fit measures namely the Akaike-information-criterion (AIC), the Bayesian-information-criterion (BIC), the minimum value of the negative log-likelihood (-2L) function, Anderson-Darling (A) test, Cramer-Von-Mises (W) test, Kolmogorov-Smirnov test, P-value and convergence status. Moreover, some commonly used data sets from the fields of actuarial, reliability, and medical science are also provided. Related works include: a) Tahir, M. H., & Cordeiro, G. M. (2016). Compounding of distributions: a survey and new gener [...truncated...]
Author: Muhammad Imran [aut, cre], M.H Tahir [aut]
Maintainer: Muhammad Imran <imranshakoor84@yahoo.com>

Diff between ComRiskModel versions 0.1.0 dated 2023-05-08 and 0.2.0 dated 2023-05-15

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Package gppm (with last version 0.2.0) was removed from CRAN

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

2018-07-05 0.2.0

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Package BRugs updated to version 0.9-2 with previous version 0.9-1 dated 2021-09-24

Title: Interface to the 'OpenBUGS' MCMC Software
Description: Fully-interactive R interface to the 'OpenBUGS' software for Bayesian analysis using MCMC sampling. Runs natively and stably in 32-bit R under Windows. Versions running on x86Linux and on 64-bit R under Windows are in "beta" status and less efficient.
Author: OpenBUGS was developed by Andrew Thomas, Dave Lunn, David Spiegelhalter and Nicky Best. R interface developed by Uwe Ligges, Sibylle Sturtz, Andrew Gelman, Gregor Gorjanc and Chris Jackson. Linux port and most recent developments by Chris Jackson.
Maintainer: Uwe Ligges <ligges@statistik.tu-dortmund.de>

Diff between BRugs versions 0.9-1 dated 2021-09-24 and 0.9-2 dated 2023-05-15

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Package CSTools (with last version 5.0.0) was removed from CRAN

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

2023-04-06 5.0.0
2022-11-10 4.1.1
2022-10-26 4.1.0
2021-10-05 4.0.1
2021-02-23 4.0.0
2020-07-02 3.1.0
2020-02-11 3.0.0

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Package startR (with last version 2.2.2) was removed from CRAN

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2023-03-26 2.2.2
2022-11-18 2.2.1
2022-02-15 2.2.0
2020-10-29 2.1.0
2020-08-26 2.0.1
2020-08-16 2.0.0
2017-04-22 0.0.1

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Package tensorFun (with last version 0.1.1) was removed from CRAN

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2022-11-01 0.1.1

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Package easyNCDF (with last version 0.1.1) was removed from CRAN

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2022-02-23 0.1.1
2020-03-16 0.1.0
2017-05-17 0.0.4
2017-04-07 0.0.1

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Package ClimProjDiags (with last version 0.3.1) was removed from CRAN

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

2023-03-23 0.3.1
2023-02-28 0.3.0
2022-12-02 0.2.1
2022-11-18 0.2.0
2021-11-03 0.1.3
2021-11-02 0.1.2
2021-01-07 0.1.1
2020-01-21 0.1.0

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Package climdex.pcic (with last version 1.1-11) was removed from CRAN

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2020-01-22 1.1-11

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Package s2dv (with last version 1.4.0) was removed from CRAN

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

2023-03-21 1.4.0
2022-10-18 1.3.0
2022-06-23 1.2.0
2021-12-17 1.1.0
2021-06-16 1.0.0
2020-11-16 0.1.1
2020-11-12 0.1.0
2020-03-08 0.0.1

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

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2023-04-05 1.0.0
2022-10-22 0.0.2
2021-05-07 0.0.1

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Package addinslist updated to version 0.5.0 with previous version 0.4.0 dated 2021-01-10

Title: Discover and Install Useful RStudio Addins
Description: Browse through a continuously updated list of existing RStudio addins and install/uninstall their corresponding packages.
Author: Dean Attali [aut, cre]
Maintainer: Dean Attali <daattali@gmail.com>

Diff between addinslist versions 0.4.0 dated 2021-01-10 and 0.5.0 dated 2023-05-15

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