Sat, 21 Sep 2024

Package profoc updated to version 1.3.3 with previous version 1.3.2 dated 2024-03-25

Title: Probabilistic Forecast Combination Using CRPS Learning
Description: Combine probabilistic forecasts using CRPS learning algorithms proposed in Berrisch, Ziel (2021) <doi:10.48550/arXiv.2102.00968> <doi:10.1016/j.jeconom.2021.11.008>. The package implements multiple online learning algorithms like Bernstein online aggregation; see Wintenberger (2014) <doi:10.48550/arXiv.1404.1356>. Quantile regression is also implemented for comparison purposes. Model parameters can be tuned automatically with respect to the loss of the forecast combination. Methods like predict(), update(), plot() and print() are available for convenience. This package utilizes the optim C++ library for numeric optimization <https://github.com/kthohr/optim>.
Author: Jonathan Berrisch [aut, cre] , Florian Ziel [aut]
Maintainer: Jonathan Berrisch <Jonathan@Berrisch.biz>

Diff between profoc versions 1.3.2 dated 2024-03-25 and 1.3.3 dated 2024-09-21

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New package otargen with initial version 1.1.5
Package: otargen
Title: Access Open Target Genetics
Version: 1.1.5
Date: 2024-09-21
Maintainer: Amir Feizi <afeizi@gmail.com>
Description: Interact seamlessly with Open Target Genetics' GraphQL endpoint to query and retrieve tidy data tables, facilitating the analysis of genetic data. For more information about the Open Target Genetics API (<https://genetics.opentargets.org/api>).
Depends: R (>= 3.1.0)
Imports: ghql, janitor, ggiraphExtra, cli, dplyr, ggplot2, ggrepel, jsonlite, rlang, magrittr, stringr, tibble, tidyr
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
URL: https://amirfeizi.github.io/otargen/
BugReports: https://github.com/amirfeizi/otargen/issues
NeedsCompilation: no
Packaged: 2024-09-21 19:35:11 UTC; amir.feizi
Author: Amir Feizi [aut, cre], Kamalika Ray [aut]
Repository: CRAN
Date/Publication: 2024-09-21 22:40:02 UTC

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Package hdar updated to version 1.0.1 with previous version 1.0.0 dated 2024-09-05

Title: 'REST' API Client for Accessing Data on 'WEkEO HDA V2'
Description: Provides seamless access to the WEkEO Harmonised Data Access (HDA) API, enabling users to query, download, and process data efficiently from the HDA platform. With 'hdar', researchers and data scientists can integrate the extensive HDA datasets into their R workflows, enhancing their data analysis capabilities. Comprehensive information on the API functionality and usage is available at <https://gateway.prod.wekeo2.eu/hda-broker/docs>.
Author: Matteo Mattiuzzi [aut, cre]
Maintainer: Matteo Mattiuzzi <matteo.mattiuzzi@eea.europa.eu>

Diff between hdar versions 1.0.0 dated 2024-09-05 and 1.0.1 dated 2024-09-21

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Package DIDmultiplegtDYN updated to version 2.0.0 with previous version 1.0.15 dated 2024-07-23

Title: Estimation in Difference-in-Difference Designs with Multiple Groups and Periods
Description: Estimation of event-study Difference-in-Difference (DID) estimators in designs with multiple groups and periods, and with a potentially non-binary treatment that may increase or decrease multiple times.
Author: Diego Ciccia [aut, cre], Felix Knau [aut], Melitine Malezieux [aut], Doulo Sow [aut], Clement de Chaisemartin [aut]
Maintainer: Diego Ciccia <diego.ciccia@kellogg.northwestern.edu>

Diff between DIDmultiplegtDYN versions 1.0.15 dated 2024-07-23 and 2.0.0 dated 2024-09-21

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Package cmahalanobis updated to version 0.4.1 with previous version 0.4.0 dated 2024-09-16

Title: Calculate Distance Measures for a Given List of Data Frames with Factors
Description: It provides functions that calculate Mahalanobis distance, Euclidean distance, Manhattan distance and Chebyshev distance between each pair of species in a list of data frames. These metrics are fundamental in various fields, such as cluster analysis, classification, and other applications of machine learning and data mining, where assessing similarity or dissimilarity between data is crucial. The package is designed to be flexible and easily integrated into data analysis workflows, providing reliable tools for evaluating distances in multidimensional contexts.
Author: Flavio Gioia [aut, cre]
Maintainer: Flavio Gioia <flaviogioia.fg@gmail.com>

Diff between cmahalanobis versions 0.4.0 dated 2024-09-16 and 0.4.1 dated 2024-09-21

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New package compositeReliabilityInNestedDesigns with initial version 1.0.4
Package: compositeReliabilityInNestedDesigns
Title: Optimizing the Composite Reliability in Multivariate Nested Designs
Version: 1.0.4
Description: The reliability of assessment tools is a crucial aspect of monitoring student performance in various educational settings. It ensures that the assessment outcomes accurately reflect a student's true level of performance. However, when assessments are combined, determining composite reliability can be challenging, especially for naturalistic and unbalanced datasets in nested design as is often the case for Workplace-Based Assessments. This package is designed to estimate composite reliability in nested designs using multivariate generalizability theory and enhance the analysis of assessment data. The package allows for the inclusion of weight per assessment type and produces extensive G- and D-study results with graphical interpretations, and options to find the set of weights that maximizes the composite reliability or minimizes the standard error of measurement (SEM).
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, ggplot2, lme4, magrittr, plyr, psych, reshape2, tidyr, Rsolnp
Depends: R (>= 2.10)
LazyData: true
URL: https://github.com/jmoonen/compositeReliabilityInNestedDesigns
BugReports: https://github.com/jmoonen/compositeReliabilityInNestedDesigns/issues
NeedsCompilation: no
Packaged: 2024-09-20 07:12:20 UTC; J.Moonen
Author: Joyce Moonen - van Loon [aut, cre]
Maintainer: Joyce Moonen - van Loon <j.moonen@maastrichtuniversity.nl>
Repository: CRAN
Date/Publication: 2024-09-21 17:40:01 UTC

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New package affluenceIndex with initial version 2.2
Package: affluenceIndex
Title: Affluence (Richness) Indices
Version: 2.2
Date: 2024-09-18
Maintainer: Alicja Wolny-Dominiak <alicja.wolny-dominiak@ue.katowice.pl>
Description: Enables to compute the statistical indices of affluence (richness) with bootstrap errors, and inequality and polarization indices. Moreover, gives the possibility of calculation of affluence line. Some simple errors are fixed and it works with new version of Spatial Statistics packaged.
Depends: R (>= 3.6.2), stats
Imports: spatstat.univar
Author: Alicja Wolny-Dominiak [aut, cre], Anna Saczewska-Piotrowska [aut]
License: GPL-2
NeedsCompilation: no
Packaged: 2024-09-20 07:57:04 UTC; woali
Repository: CRAN
Date/Publication: 2024-09-21 17:50:02 UTC

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Package visualFields updated to version 1.0.5 with previous version 1.0.1 dated 2022-02-26

Title: Statistical Methods for Visual Fields
Description: A collection of tools for analyzing the field of vision. It provides a framework for development and use of innovative methods for visualization, statistical analysis, and clinical interpretation of visual-field loss and its change over time. It is intended to be a tool for collaborative research. The package is described in Marin-Franch and Swanson (2013) <doi:10.1167/13.4.10> and is part of the Open Perimetry Initiative (OPI) [Turpin, Artes, and McKendrick (2012) <doi:10.1167/12.11.22>].
Author: Ivan Marin-Franch [cre, aut, rev, cph], William H Swanson [fnd, dtc], Michael Wall [fnd, dtc], Andrew Turpin [ctb], Paul H Artes [ctb, dtc], Cord Huchzermeyer [ctb], Giovanni Montesano [ctb], Mitchell W Dul [dtc]
Maintainer: Ivan Marin-Franch <imarinfr@optocom.es>

Diff between visualFields versions 1.0.1 dated 2022-02-26 and 1.0.5 dated 2024-09-21

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Package GenSA updated to version 1.1.14.1 with previous version 1.1.14 dated 2024-01-22

Title: R Functions for Generalized Simulated Annealing
Description: Performs search for global minimum of a very complex non-linear objective function with a very large number of optima.
Author: Sylvain Gubian, Yang Xiang, Brian Suomela, Julia Hoeng, PMP SA.
Maintainer: Sylvain Gubian <DL.RSupport@pmi.com>

Diff between GenSA versions 1.1.14 dated 2024-01-22 and 1.1.14.1 dated 2024-09-21

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Package Runuran updated to version 0.39 with previous version 0.38 dated 2023-01-17

Title: R Interface to the 'UNU.RAN' Random Variate Generators
Description: Interface to the 'UNU.RAN' library for Universal Non-Uniform RANdom variate generators. Thus it allows to build non-uniform random number generators from quite arbitrary distributions. In particular, it provides an algorithm for fast numerical inversion for distribution with given density function. In addition, the package contains densities, distribution functions and quantiles from a couple of distributions.
Author: Josef Leydold [aut, cre], Wolfgang H"ormann [aut]
Maintainer: Josef Leydold <josef.leydold@wu.ac.at>

Diff between Runuran versions 0.38 dated 2023-01-17 and 0.39 dated 2024-09-21

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 Runuran-0.39/Runuran/src/Runuran.h                                            |   13 
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More information about Runuran at CRAN
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Package AlgDesign updated to version 1.2.1.1 with previous version 1.2.1 dated 2022-05-25

Title: Algorithmic Experimental Design
Description: Algorithmic experimental designs. Calculates exact and approximate theory experimental designs for D,A, and I criteria. Very large designs may be created. Experimental designs may be blocked or blocked designs created from a candidate list, using several criteria. The blocking can be done when whole and within plot factors interact.
Author: Bob Wheeler [aut], Jerome Braun [cre]
Maintainer: Jerome Braun <jvbraun.statistics@gmail.com>

Diff between AlgDesign versions 1.2.1 dated 2022-05-25 and 1.2.1.1 dated 2024-09-21

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 data/CCTable11.1a.rda  |binary
 data/GVTable1.rda      |binary
 data/GVTable3.rda      |binary
 data/TGTable3.rda      |binary
 data/TGTable5.rda      |binary
 inst/doc/AlgDesign.pdf |binary
 src/FederovOpt.c       |   28 ++++++++++++++--------------
 src/OptBlock.c         |   20 ++++++++++----------
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More information about AlgDesign at CRAN
Permanent link

Package yaImpute updated to version 1.0-34.1 with previous version 1.0-34 dated 2023-12-12

Title: Nearest Neighbor Observation Imputation and Evaluation Tools
Description: Performs nearest neighbor-based imputation using one or more alternative approaches to processing multivariate data. These include methods based on canonical correlation: analysis, canonical correspondence analysis, and a multivariate adaptation of the random forest classification and regression techniques of Leo Breiman and Adele Cutler. Additional methods are also offered. The package includes functions for comparing the results from running alternative techniques, detecting imputation targets that are notably distant from reference observations, detecting and correcting for bias, bootstrapping and building ensemble imputations, and mapping results.
Author: Jeffrey S. Evans [aut, cre] , Nicholas L. Crookston [aut], Andrew O. Finley [aut], John Coulston [ctb, com]
Maintainer: Jeffrey S. Evans <jeffrey_evans@tnc.org>

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Package omopgenerics updated to version 0.3.1 with previous version 0.3.0 dated 2024-08-17

Title: Methods and Classes for the OMOP Common Data Model
Description: Provides definitions of core classes and methods used by analytic pipelines that query the OMOP (Observational Medical Outcomes Partnership) common data model.
Author: Marti Catala [aut, cre] , Edward Burn [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Marta Alcalde-Herraiz [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package evd updated to version 2.3-7.1 with previous version 2.3-7 dated 2024-04-23

Title: Functions for Extreme Value Distributions
Description: Extends simulation, distribution, quantile and density functions to univariate and multivariate parametric extreme value distributions, and provides fitting functions which calculate maximum likelihood estimates for univariate and bivariate maxima models, and for univariate and bivariate threshold models.
Author: Alec Stephenson. Function fbvpot by Chris Ferro.
Maintainer: Alec Stephenson <alec_stephenson@hotmail.com>

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Package dlm updated to version 1.1-6.1 with previous version 1.1-6 dated 2022-11-28

Title: Bayesian and Likelihood Analysis of Dynamic Linear Models
Description: Provides routines for Maximum likelihood, Kalman filtering and smoothing, and Bayesian analysis of Normal linear State Space models, also known as Dynamic Linear Models.
Author: Giovanni Petris [aut, cre], Wally Gilks [ctb]
Maintainer: Giovanni Petris <GPetris@uark.edu>

Diff between dlm versions 1.1-6 dated 2022-11-28 and 1.1-6.1 dated 2024-09-21

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Package cplm updated to version 0.7-12.1 with previous version 0.7-12 dated 2024-01-13

Title: Compound Poisson Linear Models
Description: Likelihood-based and Bayesian methods for various compound Poisson linear models based on Zhang, Yanwei (2013) <doi:10.1007/s11222-012-9343-7>.
Author: Yanwei Zhang [aut, cre]
Maintainer: Yanwei (Wayne) Zhang <actuary_zhang@hotmail.com>

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Package analogue updated to version 0.17-7 with previous version 0.17-6 dated 2021-06-20

Title: Analogue and Weighted Averaging Methods for Palaeoecology
Description: Fits Modern Analogue Technique and Weighted Averaging transfer function models for prediction of environmental data from species data, and related methods used in palaeoecology.
Author: Gavin L. Simpson [aut, cre] , Jari Oksanen [aut], Martin Maechler [ctb]
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>

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Package MLEcens updated to version 0.1-7.1 with previous version 0.1-7 dated 2022-10-18

Title: Computation of the MLE for Bivariate Interval Censored Data
Description: We provide functions to compute the nonparametric maximum likelihood estimator (MLE) for the bivariate distribution of (X,Y), when realizations of (X,Y) cannot be observed directly. To be more precise, we consider the situation where we observe a set of rectangles in R^2 that are known to contain the unobservable realizations of (X,Y). We compute the MLE based on such a set of rectangles. The methods can also be used for univariate censored data (see data set 'cosmesis'), and for censored data with competing risks (see data set 'menopause'). We also provide functions to visualize the observed data and the MLE.
Author: Marloes Maathuis [aut, cre]
Maintainer: Marloes Maathuis <marloesmaathuis@gmail.com>

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Package amap updated to version 0.8-19.1 with previous version 0.8-19 dated 2022-10-28

Title: Another Multidimensional Analysis Package
Description: Tools for Clustering and Principal Component Analysis (With robust methods, and parallelized functions).
Author: Antoine Lucas [aut, cre]
Maintainer: Antoine Lucas <antoinelucas@gmail.com>

Diff between amap versions 0.8-19 dated 2022-10-28 and 0.8-19.1 dated 2024-09-21

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