Wed, 29 May 2024

Package raters updated to version 2.0.4 with previous version 2.0.3 dated 2023-08-19

Title: A Modification of Fleiss' Kappa in Case of Nominal and Ordinal Variables
Description: The kappa statistic implemented by Fleiss is a very popular index for assessing the reliability of agreement among multiple observers. It is used both in the psychological and in the psychiatric field. Other fields of application are typically medicine, biology and engineering. Unfortunately,the kappa statistic may behave inconsistently in case of strong agreement between raters, since this index assumes lower values than it would have been expected. We propose a modification kappa implemented by Fleiss in case of nominal and ordinal variables. Monte Carlo simulations are used both to testing statistical hypotheses and to calculating percentile bootstrap confidence intervals based on proposed statistic in case of nominal and ordinal data.
Author: Daniele Giardiello [cre], Piero Quatto [aut], Enrico Ripamonti [aut], Stefano Vigliani [ctb]
Maintainer: Daniele Giardiello <daniele.giardiello1@gmail.com>

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Package nlmixr2 updated to version 2.1.2 with previous version 2.1.1 dated 2024-02-01

Title: Nonlinear Mixed Effects Models in Population PK/PD
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Yuan Xiong [ctb], Rik Schoemaker [ctb] , Justin Wilkins [ctb] , Wenping Wang [ctb], Mirjam Trame [ctb], Huijuan Xu [ctb], John Harrold [ctb], Bill Denney [ctb] , Theodoros Papathanasiou [ctb], Teun Post [ctb], Richard Hooi [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package emplikAUC updated to version 0.4 with previous version 0.3 dated 2023-01-13

Title: Empirical Likelihood Ratio Test/Confidence Interval for AUC or pAUC
Description: Test hypotheses and construct confidence intervals for AUC (area under Receiver Operating Characteristic curve) and pAUC (partial area under ROC curve), from the given two samples of test data with disease/healthy subjects. The method used is based on TWO SAMPLE empirical likelihood and PROFILE empirical likelihood, as described in <https://www.ms.uky.edu/~mai/research/eAUC1.pdf>.
Author: Mai Zhou [aut, cre, cph], Xue Ding [aut], Yumin Zhao [aut]
Maintainer: Mai Zhou <maizhou@gmail.com>

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Package aorsf updated to version 0.1.5 with previous version 0.1.4 dated 2024-05-03

Title: Accelerated Oblique Random Forests
Description: Fit, interpret, and compute predictions with oblique random forests. Includes support for partial dependence, variable importance, passing customized functions for variable importance and identification of linear combinations of features. Methods for the oblique random survival forest are described in Jaeger et al., (2023) <DOI:10.1080/10618600.2023.2231048>.
Author: Byron Jaeger [aut, cre] , Nicholas Pajewski [ctb], Sawyer Welden [ctb], Christopher Jackson [rev], Marvin Wright [rev], Lukas Burk [rev]
Maintainer: Byron Jaeger <bjaeger@wakehealth.edu>

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Package iemisc (with last version 1.0.4) was removed from CRAN

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

2023-09-25 1.0.4
2023-05-04 1.0.3
2023-03-07 1.0.2

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

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

2024-01-09 1.0.1
2023-09-25 1.0.0
2016-07-22 0.6.1
2016-07-14 0.6.0
2016-06-13 0.5.2
2016-05-30 0.5.1
2016-02-04 0.5.0

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Package spatialTIME updated to version 1.3.4-4 with previous version 1.3.4-3 dated 2024-03-11

Title: Spatial Analysis of Vectra Immunoflourescent Data
Description: Visualization and analysis of Vectra Immunoflourescent data. Options for calculating both the univariate and bivariate Ripley's K are included. Calculations are performed using a permutation-based approach presented by Wilson et al. <doi:10.1101/2021.04.27.21256104>.
Author: Jordan Creed [aut], Ram Thapa [aut], Christopher Wilson [aut], Alex Soupir [aut], Oscar Ospina [aut], Julia Wrobel [aut], Brooke Fridley [cph], Fridley Lab [cre]
Maintainer: Fridley Lab <fridley.lab@moffitt.org>

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Package SpaceTimeBSS updated to version 0.4-0 with previous version 0.3-0 dated 2023-07-20

Title: Blind Source Separation for Multivariate Spatio-Temporal Data
Description: Simultaneous/joint diagonalization of local autocovariance matrices to estimate spatio-temporally uncorrelated random fields.
Author: Christoph Muehlmann [aut] , Nikolaus Piccolotto [aut] , Claudia Cappello [aut] , Sandra De Iaco [aut] , Klaus Nordhausen [aut, cre]
Maintainer: Klaus Nordhausen <klausnordhausenR@gmail.com>

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Package shinyCox updated to version 1.1.0 with previous version 1.0.1 dated 2023-08-23

Title: Create 'shiny' Applications for Cox Proportional Hazards Models
Description: Takes one or more fitted Cox proportional hazards models and writes a 'shiny' application to a directory specified by the user. The 'shiny' application displays predicted survival curves based on user input, and contains none of the original data used to create the Cox model or models. The goal is towards visualization and presentation of predicted survival curves.
Author: Harrison Clement [aut, cre], Subodh Selukar [aut], Stanley Pounds [aut], St Jude Children's Research Hospital [fnd]
Maintainer: Harrison Clement <harrisonclement16@gmail.com>

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Package screenshot updated to version 0.9.1 with previous version 0.9.0 dated 2023-08-14

Title: Take Screenshots (Screen Capture) from R Command
Description: Take screenshots from R command and locate an image position.
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>

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Package FuzzyPovertyR updated to version 2.1.0 with previous version 2.0.1 dated 2024-02-14

Title: Estimation of Fuzzy Poverty Measures
Description: Estimates fuzzy measures of poverty and deprivation. It also estimates the sampling variance of these measures using bootstrap or jackknife repeated replications.
Author: Federico Crescenzi [aut, cre] , Lorenzo Mori [aut] , Gianni Betti [ctb]
Maintainer: Federico Crescenzi <federico.crescenzi@unitus.it>

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Package reproducible updated to version 2.1.0 with previous version 2.0.12 dated 2024-04-15

Title: Enhance Reproducibility of R Code
Description: A collection of high-level, machine- and OS-independent tools for making reproducible and reusable content in R. The two workhorse functions are Cache() and prepInputs(). Cache() allows for nested caching, is robust to environments and objects with environments (like functions), and has deals with some classes of file-backed R objects e.g., from terra and raster packages. Both functions have been developed to be foundational components of data retrieval and processing in continuous workflow situations. In both functions, efforts are made to make the first and subsequent calls of functions have the same result, but faster at subsequent times by way of checksums and digesting. Several features are still under development, including cloud storage of cached objects, allowing for sharing between users. Several advanced options are available, see ?reproducibleOptions().
Author: Eliot J B McIntire [aut, cre] , Alex M Chubaty [aut] , Tati Micheletti [ctb] , Ceres Barros [ctb] , Ian Eddy [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

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Package pivmet updated to version 0.6.0 with previous version 0.5.0 dated 2023-02-22

Title: Pivotal Methods for Bayesian Relabelling and k-Means Clustering
Description: Collection of pivotal algorithms for: relabelling the MCMC chains in order to undo the label switching problem in Bayesian mixture models; fitting sparse finite mixtures; initializing the centers of the classical k-means algorithm in order to obtain a better clustering solution. For further details see Egidi, Pappadà, Pauli and Torelli (2018b)<ISBN:9788891910233>.
Author: Leonardo Egidi[aut, cre], Roberta Pappada[aut], Francesco Pauli[aut], Nicola Torelli[aut]
Maintainer: Leonardo Egidi <legidi@units.it>

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Package mokken updated to version 3.1.1 with previous version 3.1.0 dated 2023-06-26

Title: Conducts Mokken Scale Analysis
Description: Contains functions for performing Mokken scale analysis on test and questionnaire data. It includes an automated item selection algorithm, and various checks of model assumptions.
Author: L. Andries van der Ark [aut, cre], Letty Koopman [aut], J. Hendrik Straat [ctb], Don van den Bergh [ctb]
Maintainer: L. Andries van der Ark <L.A.vanderArk@uva.nl>

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Package flowchart updated to version 0.4.0 with previous version 0.3.0 dated 2024-05-10

Title: Tidy Flowchart Generator
Description: Creates participant flow diagrams directly from a dataframe. Representing the flow of participants through each stage of a study, especially in clinical trials, is essential to assess the generalisability and validity of the results. This package provides a set of functions that can be combined with a pipe operator to create all kinds of flowcharts from a data frame in an easy way.
Author: Pau Satorra [aut, cre], Joao Carmezim [aut], Natalia Pallares [aut], Cristian Tebe [aut]
Maintainer: Pau Satorra <psatorra@igtp.cat>

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Package dartR.data updated to version 1.0.8 with previous version 1.0.2 dated 2022-11-16

Title: Auxiliary Data Package for Our Main Package 'dartR'
Description: Data package for 'dartR'. Provides data sets to run examples in 'dartR'. This was necessary due to the size limit imposed by 'CRAN'. The data in 'dartR.data' is needed to run the examples provided in the 'dartR' functions. All available data sets are either based on actual data (but reduced in size) and/or simulated data sets to allow the fast execution of examples and demonstration of the functions.
Author: Bernd Gruber [aut, cre], Arthur Georges [aut], Jose L. Mijangos [aut], Carlo Pacioni [aut], Oliver Berry [ctb]
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>

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Package snvecR updated to version 3.9.4 with previous version 3.9.3 dated 2024-04-24

Title: Calculate Earth’s Obliquity and Precession in the Past
Description: Easily calculate precession and obliquity from an orbital solution (defaults to ZB18a from Zeebe and Lourens (2019) <doi:10.1126/science.aax0612>) and assumed or reconstructed values for tidal dissipation (Td) and dynamical ellipticity (Ed). This is a translation and adaptation of the 'C'-code in the supplementary material to Zeebe and Lourens (2022) <doi:10.1029/2021PA004349>, with further details on the methodology described in Zeebe (2022) <doi:10.3847/1538-3881/ac80f8>. The name of the 'C'-routine is 'snvec', which refers to the key units of computation: spin vector s and orbit normal vector n.
Author: Ilja Kocken [aut, cre, trl, cph] , Richard Zeebe [aut]
Maintainer: Ilja Kocken <ikocken@hawaii.edu>

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Package SLSEdesign updated to version 0.0.3 with previous version 0.0.2 dated 2024-05-27

Title: Optimal Regression Design under the Second-Order Least Squares Estimator
Description: With given inputs that include number of points, discrete design space, a measure of skewness, models and parameter value, this package calculates the objective value, optimal designs and plot the equivalence theory under A- and D-optimal criteria under the second-order Least squares estimator. This package is based on the paper "Properties of optimal regression designs under the second-order least squares estimator" by Chi-Kuang Yeh and Julie Zhou (2021) <doi:10.1007/s00362-018-01076-6>.
Author: Chi-Kuang Yeh [aut, cre] , Julie Zhou [aut, ctb], Jason Hou-Liu [ctb]
Maintainer: Chi-Kuang Yeh <chi-kuang.yeh@uwaterloo.ca>

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Package sharpshootR updated to version 2.3.1 with previous version 2.3 dated 2024-04-08

Title: A Soil Survey Toolkit
Description: Miscellaneous soil data management, summary, visualization, and conversion utilities to support soil survey.
Author: Dylan Beaudette [cre, aut], Jay Skovlin [aut], Stephen Roecker [aut], Andrew Brown [aut], USDA-NRCS Soil Survey Staff [ctb]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>

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Package sdmTMB updated to version 0.6.0 with previous version 0.5.0 dated 2024-04-03

Title: Spatial and Spatiotemporal SPDE-Based GLMMs with 'TMB'
Description: Implements spatial and spatiotemporal GLMMs (Generalized Linear Mixed Effect Models) using 'TMB', 'fmesher', and the SPDE (Stochastic Partial Differential Equation) Gaussian Markov random field approximation to Gaussian random fields. One common application is for spatially explicit species distribution models (SDMs). See Anderson et al. (2024) <doi:10.1101/2022.03.24.485545>.
Author: Sean C. Anderson [aut, cre] , Eric J. Ward [aut] , Philina A. English [aut] , Lewis A. K. Barnett [aut] , James T. Thorson [aut, cph] , Joe Watson [ctb] , Julia Indivero [ctb] , Jillian C. Dunic [ctb] , Cole C. Monnahan [ctb, cph] , Mollie Brooks [ct [...truncated...]
Maintainer: Sean C. Anderson <sean@seananderson.ca>

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New package riAFTBART with initial version 0.3.3
Package: riAFTBART
Title: A Flexible Approach for Causal Inference with Multiple Treatments and Clustered Survival Outcomes
Version: 0.3.3
Description: Random-intercept accelerated failure time (AFT) model utilizing Bayesian additive regression trees (BART) for drawing causal inferences about multiple treatments while accounting for the multilevel survival data structure. It also includes an interpretable sensitivity analysis approach to evaluate how the drawn causal conclusions might be altered in response to the potential magnitude of departure from the no unmeasured confounding assumption.This package implements the methods described by Hu et al. (2022) <doi:10.1002/sim.9548>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: MCMCpack, msm, dbarts, magrittr, foreach, doParallel, dplyr, BART, stringr, tidyr, survival, cowplot, ggplot2, twang, nnet, RRF, randomForest
NeedsCompilation: no
Packaged: 2024-05-29 21:05:30 UTC; drake
Author: Liangyuan Hu [aut], Jiayi Ji [aut], Fengrui Zhang [cre]
Maintainer: Fengrui Zhang <fz174@sph.rutgers.edu>
Repository: CRAN
Date/Publication: 2024-05-29 23:20:09 UTC

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Package kanjistat updated to version 0.14.0 with previous version 0.9.1 dated 2023-05-23

Title: A Statistical Framework for the Analysis of Japanese Kanji Characters
Description: Various tools and data sets that support the study of kanji, including their morphology, decomposition and concepts of distance and similarity between them.
Author: Dominic Schuhmacher [aut, cre] , Lennart Finke [aut]
Maintainer: Dominic Schuhmacher <dominic.schuhmacher@mathematik.uni-goettingen.de>

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Package GxEprs updated to version 1.2 with previous version 1.1 dated 2023-10-03

Title: Genotype-by-Environment Interaction in Polygenic Score Models
Description: A novel PRS model is introduced to enhance the prediction accuracy by utilising GxE effects. This package performs Genome Wide Association Studies (GWAS) and Genome Wide Environment Interaction Studies (GWEIS) using a discovery dataset. The package has the ability to obtain polygenic risk scores (PRSs) for a target sample. Finally it predicts the risk values of each individual in the target sample. Users have the choice of using existing models (Li et al., 2015) <doi:10.1093/annonc/mdu565>, (Pandis et al., 2013) <doi:10.1093/ejo/cjt054>, (Peyrot et al., 2018) <doi:10.1016/j.biopsych.2017.09.009> and (Song et al., 2022) <doi:10.1038/s41467-022-32407-9>, as well as newly proposed models for genomic risk prediction (refer to the URL for more details).
Author: Dovini Jayasinghe [aut, cre, cph], Hong Lee [aut, cph], Moksedul Momin [aut, cph]
Maintainer: Dovini Jayasinghe <dovini.jayasinghe@mymail.unisa.edu.au>

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Package csodata updated to version 1.5.0 with previous version 1.4.2 dated 2023-08-11

Title: Download Data from the CSO 'PxStat' API
Description: Imports 'PxStat' data in JSON-stat format and (optionally) reshapes it into wide format. The Central Statistics Office (CSO) is the national statistical institute of Ireland and 'PxStat' is the CSOs online database of Official Statistics. This database contains current and historical data series compiled from CSO statistical releases and is accessed at <http://data.cso.ie>. The CSO 'PxStat' Application Programming Interface (API), which is accessed in this package, provides access to 'PxStat' data in JSON-stat format at <http://data.cso.ie>. This dissemination tool allows developers machine to machine access to CSO 'PxStat' data.
Author: Eoin Horgan [aut] , Conor Crowley [aut, cre], Vytas Vaiciulis [aut], Mervyn O'Luing [aut], James O'Rourke [aut]
Maintainer: Conor Crowley <conor.crowley@cso.ie>

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Package bayesRecon updated to version 0.3.0 with previous version 0.2.0 dated 2023-12-19

Title: Probabilistic Reconciliation via Conditioning
Description: Provides methods for probabilistic reconciliation of hierarchical forecasts of time series. The available methods include analytical Gaussian reconciliation (Corani et al., 2021) <doi:10.1007/978-3-030-67664-3_13>, MCMC reconciliation of count time series (Corani et al., 2024) <doi:10.1016/j.ijforecast.2023.04.003>, Bottom-Up Importance Sampling (Zambon et al., 2024) <doi:10.1007/s11222-023-10343-y>, methods for the reconciliation of mixed hierarchies (Mix-Cond and TD-cond) (Zambon et al., 2024. The 40th Conference on Uncertainty in Artificial Intelligence, accepted).
Author: Dario Azzimonti [aut, cre] , Nicolo Rubattu [aut] , Lorenzo Zambon [aut] , Giorgio Corani [aut]
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>

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Package nonmem2rx updated to version 0.1.4 with previous version 0.1.3 dated 2023-12-12

Title: 'nonmem2rx' Converts 'NONMEM' Models to 'rxode2'
Description: 'NONMEM' has been a tool for running nonlinear mixed effects models since the 80s and is still used today (Bauer 2019 <doi:10.1002/psp4.12404>). This tool allows you to convert 'NONMEM' models to 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) and with simple models 'nlmixr2' syntax (Fidler et al (2019) <doi:10.1002/psp4.12445>). The 'nlmixr2' syntax requires the residual specification to be included and it is not always translated. If available, the 'rxode2' model will read in the 'NONMEM' data and compare the simulation for the population model ('PRED') individual model ('IPRED') and residual model ('IWRES') to immediately show how well the translation is performing. This saves the model development time for people who are creating an 'rxode2' model manually. Additionally, this package reads in all the information to allow simulation with uncertainty (that is the number of observations, the number of subjects, and the covariance matrix) with a 'rx [...truncated...]
Author: Matthew Fidler [aut, cre] , Philip Delff [ctb], Gabriel Staples [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package fastbackward updated to version 1.0.1 with previous version 1.0.0 dated 2024-05-22

Title: Fast Backward Elimination Based on Information Criterion
Description: Performs backward elimination with similar syntax to the stepAIC() function from the 'MASS' package. A bounding algorithm is used to avoid fitting unnecessary models, making it much faster.
Author: Jacob Seedorff [aut, cre]
Maintainer: Jacob Seedorff <jacob-seedorff@uiowa.edu>

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Package survivoR updated to version 2.3.3 with previous version 2.3.2 dated 2024-03-28

Title: Data from all Seasons of Survivor (US) TV Series in Tidy Format
Description: Several datasets which detail the results and events of each season of Survivor. This includes details on the cast, voting history, immunity and reward challenges, jury votes and viewers. This data is useful for practicing data wrangling, graph analytics and analysing how each season of Survivor played out. Includes 'ggplot2' scales and colour palettes for visualisation.
Author: Daniel Oehm [aut, cre], Carly Levitz [ctb], Dario Mavec [ctb]
Maintainer: Daniel Oehm <danieloehm@gmail.com>

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Package smplot2 updated to version 0.2.3 with previous version 0.2.2 dated 2024-05-22

Title: Creating Standalone and Composite Plots in 'ggplot2' for Publications
Description: Provides functions for creating and annotating a composite plot in 'ggplot2'. Offers background themes and shortcut plotting functions that produce figures that are appropriate for the format of scientific journals. Some methods are described in Min and Zhou (2021) <doi:10.3389/fgene.2021.802894>.
Author: Seung Hyun Min [aut, cre]
Maintainer: Seung Hyun (Sam) Min <seung.min@mail.mcgill.ca>

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Package nlmixr2plot updated to version 2.0.9 with previous version 2.0.8 dated 2024-01-31

Title: Nonlinear Mixed Effects Models in Population PK/PD, Plot Functions
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>). This package is for 'ggplot2' plotting methods for 'nlmixr2' objects.
Author: Matthew Fidler [aut, cre] , Bill Denney [ctb] , Wenping Wang [aut], Vipul Mann [aut]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package tidyfinance updated to version 0.2.0 with previous version 0.1.0 dated 2024-03-05

Title: Tidy Finance Helper Functions
Description: Helper functions for empirical research in financial economics, addressing a variety of topics covered in Scheuch, Voigt, and Weiss (2023) <doi:10.1201/b23237>. The package is designed to provide shortcuts for issues extensively discussed in the book, facilitating easier application of its concepts. For more information and resources related to the book, visit <https://www.tidy-finance.org/r/index.html>.
Author: Christoph Scheuch [aut, cre] , Stefan Voigt [aut] , Patrick Weiss [aut]
Maintainer: Christoph Scheuch <christoph.scheuch@gmail.com>

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Package StanHeaders updated to version 2.32.9 with previous version 2.32.8 dated 2024-05-21

Title: C++ Header Files for Stan
Description: The C++ header files of the Stan project are provided by this package, but it contains little R code or documentation. The main reference is the vignette. There is a shared object containing part of the 'CVODES' library, but its functionality is not accessible from R. 'StanHeaders' is primarily useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The [...truncated...]
Author: Ben Goodrich [cre, aut], Joshua Pritikin [ctb], Andrew Gelman [aut], Bob Carpenter [aut], Matt Hoffman [aut], Daniel Lee [aut], Michael Betancourt [aut], Marcus Brubaker [aut], Jiqiang Guo [aut], Peter Li [aut], Allen Riddell [aut], Marco Inacio [aut [...truncated...]
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

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Package rusquant updated to version 1.1.1 with previous version 1.0.5 dated 2024-01-29

Title: Quantitative Trading Framework
Description: Collection of functions to retrieve financial data from various sources, including brokerage and exchange platforms, financial websites, and data providers. Includes functions to retrieve account information, portfolio information, and place/cancel orders from different brokers. Additionally, allows users to download historical data such as earnings, dividends, stock splits.
Author: Vyacheslav Arbuzov[cph, cre, aut], Sergey Edunov[aut]
Maintainer: Vyacheslav Arbuzov <arbuzov1989@gmail.com>

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Package nlmixr2extra updated to version 2.0.10 with previous version 2.0.9 dated 2024-01-31

Title: Nonlinear Mixed Effects Models in Population PK/PD, Extra Support Functions
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>). This package is for support functions like preconditioned fits <doi:10.1208/s12248-016-9866-5>, boostrap and stepwise covariate selection.
Author: Matthew Fidler [aut, cre] , Vipul Mann [aut], Vishal Sarsani [aut] , Christian Bartels [ctb], Bill Denney [aut]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package giscoR updated to version 0.5.0 with previous version 0.4.2 dated 2024-03-27

Title: Download Map Data from GISCO API - Eurostat
Description: Tools to download data from the GISCO (Geographic Information System of the Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>. Global and European map data available. This package is in no way officially related to or endorsed by Eurostat.
Author: Diego Hernangomez [aut, cre, cph] , EuroGeographics [cph] , Vincent Arel-Bundock [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package powerLATE updated to version 0.1.2 with previous version 0.1.1 dated 2020-09-27

Title: Generalized Power Analysis for LATE
Description: An implementation of the generalized power analysis for the local average treatment effect (LATE), proposed by Bansak (2020) <doi:10.1214/19-STS732>. Power analysis is in the context of estimating the LATE (also known as the complier average causal effect, or CACE), with calculations based on a test of the null hypothesis that the LATE equals 0 with a two-sided alternative. The method uses standardized effect sizes to place a conservative bound on the power under minimal assumptions. Package allows users to recover power, sample size requirements, or minimum detectable effect sizes. Package also allows users to work with absolute effects rather than effect sizes, to specify an additional assumption to narrow the bounds, and to incorporate covariate adjustment.
Author: Kirk Bansak [aut], Eddie Yang [aut, cre]
Maintainer: Eddie Yang <z5yang@ucsd.edu>

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Package BeviMed updated to version 5.10 with previous version 5.8 dated 2021-01-31

Title: Bayesian Evaluation of Variant Involvement in Mendelian Disease
Description: A fast integrative genetic association test for rare diseases based on a model for disease status given allele counts at rare variant sites. Probability of association, mode of inheritance and probability of pathogenicity for individual variants are all inferred in a Bayesian framework - 'A Fast Association Test for Identifying Pathogenic Variants Involved in Rare Diseases', Greene et al 2017 <doi:10.1016/j.ajhg.2017.05.015>.
Author: Daniel Greene, Sylvia Richardson and Ernest Turro
Maintainer: Daniel Greene <dg333@cam.ac.uk>

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Package SCORPION updated to version 1.0.2 with previous version 1.0.1 dated 2022-09-22

Title: Single Cell Oriented Reconstruction of PANDA Individual Optimized Networks
Description: Constructs gene regulatory networks from single-cell gene expression data using the PANDA (Passing Attributes between Networks for Data Assimilation) algorithm.
Author: Daniel Osorio [aut, cre] , Marieke L. Kuijjer [aut]
Maintainer: Daniel Osorio <daniecos@uio.no>

Diff between SCORPION versions 1.0.1 dated 2022-09-22 and 1.0.2 dated 2024-05-29

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New package spagmix with initial version 0.4-1
Package: spagmix
Title: Artificial Spatial and Spatio-Temporal Densities on Bounded Windows
Version: 0.4-1
Date: 2024-05-29
Maintainer: Tilman M. Davies <tilman.davies@otago.ac.nz>
Description: Simple utilities to design and generate density functions on bounded regions in space and space-time, and simulate independent, identically distributed data therefrom. See Davies & Lawson (2019) <doi:10.1080/00949655.2019.1575066> for example.
Depends: R (>= 3.5.0), spatstat (>= 3.0-0)
Imports: abind, sparr, mvtnorm, spatstat.geom, spatstat.random
Suggests: rgl
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-28 22:47:54 UTC; davti75p
Author: Anna K. Redmond [aut], Tilman M. Davies [aut, cre]
Repository: CRAN
Date/Publication: 2024-05-29 10:40:02 UTC

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New package CurricularAnalytics with initial version 1.0.0
Package: CurricularAnalytics
Title: Exploring and Analyzing Academic Curricula
Version: 1.0.0
Description: Provides an implementation of ‘Curricular Analytics’, a framework for analyzing and quantifying the complexity of academic curricula. Curricula are modelled as directed acyclic graphs and analytics are provided based on path lengths and edge density. This work directly comes from Heileman et al. (2018) <doi:10.48550/arXiv.1811.09676>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/Danyulll/CurricularAnalytics
BugReports: https://github.com/Danyulll/CurricularAnalytics/issues
Imports: dplyr (>= 1.1.4), igraph (>= 2.0.3), stats (>= 4.4.0), tools (>= 4.4.0), utils (>= 4.4.0), visNetwork (>= 2.1.2)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-28 20:36:58 UTC; danie
Author: Daniel Krasnov [aut, cre] , Dr. Irene Vrbik [aut, cph]
Maintainer: Daniel Krasnov <danielkrasnovdk@hotmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-05-29 10:40:08 UTC

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New package BANAM with initial version 0.2.0
Package: BANAM
Date: 2024-05-28
Title: Bayesian Analysis of the Network Autocorrelation Model
Version: 0.2.0
Maintainer: Joris Mulder <j.mulder3@tilburguniversity.edu>
Description: The network autocorrelation model (NAM) can be used for studying the degree of social influence regarding an outcome variable based on one or more known networks. The degree of social influence is quantified via the network autocorrelation parameters. In case of a single network, the Bayesian methods of Dittrich, Leenders, and Mulder (2017) <DOI:10.1016/j.socnet.2016.09.002> and Dittrich, Leenders, and Mulder (2019) <DOI:10.1177/0049124117729712> are implemented using a normal, flat, or independence Jeffreys prior for the network autocorrelation. In the case of multiple networks, the Bayesian methods of Dittrich, Leenders, and Mulder (2020) <DOI:10.1177/0081175020913899> are implemented using a multivariate normal prior for the network autocorrelation parameters. Flat priors are implemented for estimating the coefficients. For Bayesian testing of equality and order-constrained hypotheses, the default Bayes factor of Gu, Mulder, and Hoijtink, (2018) <DOI:10.1111/bms [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.0), BFpack
Imports: Matrix, extraDistr, matrixcalc, mvtnorm, rARPACK, tmvtnorm, utils, psych, sna, bain
Suggests: testthat
NeedsCompilation: no
Packaged: 2024-05-28 19:48:40 UTC; jorismulder
Author: Joris Mulder [aut, cre], Dino Dittrich [aut, ctb], Roger Leenders [aut, ctb]
Repository: CRAN
Date/Publication: 2024-05-29 10:40:13 UTC

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Package knitr updated to version 1.47 with previous version 1.46 dated 2024-04-06

Title: A General-Purpose Package for Dynamic Report Generation in R
Description: Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.
Author: Yihui Xie [aut, cre] , Abhraneel Sarma [ctb], Adam Vogt [ctb], Alastair Andrew [ctb], Alex Zvoleff [ctb], Amar Al-Zubaidi [ctb], Andre Simon [ctb] , Aron Atkins [ctb], Aaron Wolen [ctb], Ashley Manton [ctb], Atsushi Yasumoto [ctb] , Ben Baumer [ctb], [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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

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

2024-05-26 1.0.0
2016-09-22 0.9.99
2016-08-15 0.9.9

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Package sstvars updated to version 1.0.1 with previous version 1.0.0 dated 2024-05-27

Title: Toolkit for Reduced Form and Structural Smooth Transition Vector Autoregressive Models
Description: Maximum likelihood estimation of smooth transition vector autoregressive models with various types of transition weight functions, conditional distributions, and identification methods. Constrained estimation with various types of constraints is available. Residual based model diagnostics, forecasting, simulations, and calculation of impulse response functions, generalized impulse response functions, and generalized forecast error variance decompositions. See Heather Anderson, Farshid Vahid (1998) <doi:10.1016/S0304-4076(97)00076-6>, Helmut Lütkepohl, Aleksei Netšunajev (2017) <doi:10.1016/j.jedc.2017.09.001>, Markku Lanne, Savi Virolainen (2024) <doi:10.48550/arXiv.2403.14216>, Savi Virolainen (2024) <doi:10.48550/arXiv.2404.19707>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

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Package mmpf (with last version 0.0.5) was removed from CRAN

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