Fri, 13 Dec 2024

Package texor updated to version 1.5.3 with previous version 1.5.0 dated 2024-10-15

Title: Converting 'LaTeX' 'R Journal' Articles into 'RJ-web-articles'
Description: Articles in the 'R Journal' were first authored in 'LaTeX', which performs admirably for 'PDF' files but is less than ideal for modern online interfaces. The 'texor' package does all the transitional chores and conversions necessary to move to the online versions.
Author: Abhishek Ulayil [aut, cre, cph] , Heather Turner [ctb] , Christophe Dervieux [ctb] , Mitchell O'Hara-Wild [ctb] , Dianne Cook [ctb] , Yinxiang Huang [ctb]
Maintainer: Abhishek Ulayil <perricoq@outlook.com>

Diff between texor versions 1.5.0 dated 2024-10-15 and 1.5.3 dated 2024-12-13

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Package fuzzySim updated to version 4.29 with previous version 4.26 dated 2024-10-30

Title: Fuzzy Similarity in Species Distributions
Description: Functions to compute fuzzy versions of species occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis, and prevalence-independent favourability obtained from probability of presence), as well as pair-wise fuzzy similarity (based on fuzzy logic versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model consensus and comparison (overlap and fuzzy similarity, fuzzy loss, fuzzy gain), and for data preparation, such as obtaining unique abbreviations of species names, defining the background region, cleaning and gridding (thinning) point occurrence data onto raster maps, selecting among (pseudo)absences to address survey bias, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, selecting relevant variables for models, assessing the false discovery rate, or analysing and dealing with multicollinearity. Initially desc [...truncated...]
Author: A. Marcia Barbosa [aut], Alba Estrada [ctb], Paul Melloy [ctb], Jose Carlos Guerrero [fnd], A. Marcia Barbosa [cre]
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

Diff between fuzzySim versions 4.26 dated 2024-10-30 and 4.29 dated 2024-12-13

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Package LaF updated to version 0.8.6 with previous version 0.8.4 dated 2020-03-23

Title: Fast Access to Large ASCII Files
Description: Methods for fast access to large ASCII files. Currently the following file formats are supported: comma separated format (CSV) and fixed width format. It is assumed that the files are too large to fit into memory, although the package can also be used to efficiently access files that do fit into memory. Methods are provided to access and process files blockwise. Furthermore, an opened file can be accessed as one would an ordinary data.frame. The LaF vignette gives an overview of the functionality provided.
Author: Jan van der Laan [aut, cre]
Maintainer: Jan van der Laan <r@eoos.dds.nl>

Diff between LaF versions 0.8.4 dated 2020-03-23 and 0.8.6 dated 2024-12-13

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Package ggpattern updated to version 1.1.3 with previous version 1.1.1 dated 2024-06-04

Title: 'ggplot2' Pattern Geoms
Description: Provides 'ggplot2' geoms filled with various patterns. Includes a patterned version of every 'ggplot2' geom that has a region that can be filled with a pattern. Provides a suite of 'ggplot2' aesthetics and scales for controlling pattern appearances. Supports over a dozen builtin patterns (every pattern implemented by 'gridpattern') as well as allowing custom user-defined patterns.
Author: Mike FC [aut], Trevor L. Davis [aut, cre] , ggplot2 authors [aut]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

Diff between ggpattern versions 1.1.1 dated 2024-06-04 and 1.1.3 dated 2024-12-13

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Package libr updated to version 1.3.8 with previous version 1.3.7 dated 2024-11-06

Title: Libraries, Data Dictionaries, and a Data Step for R
Description: Contains a set of functions to create data libraries, generate data dictionaries, and simulate a data step. The libname() function will load a directory of data into a library in one line of code. The dictionary() function will generate data dictionaries for individual data frames or an entire library. And the datestep() function will perform row-by-row data processing.
Author: David Bosak [aut, cre], Brian Varney [ctb], Archytas Clinical Solutions [cph]
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between libr versions 1.3.7 dated 2024-11-06 and 1.3.8 dated 2024-12-13

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Package tssim updated to version 0.2.7 with previous version 0.1.7 dated 2021-06-25

Title: Simulation of Daily and Monthly Time Series
Description: Flexible simulation of time series using time series components, including seasonal, calendar and outlier effects. Main algorithm described in Ollech, D. (2021) <doi:10.1515/jtse-2020-0028>.
Author: Daniel Ollech [aut, cre]
Maintainer: Daniel Ollech <daniel.ollech@bundesbank.de>

Diff between tssim versions 0.1.7 dated 2021-06-25 and 0.2.7 dated 2024-12-13

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Package lares updated to version 5.2.10 with previous version 5.2.9 dated 2024-09-12

Title: Analytics & Machine Learning Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Marketing Mix Modeling (Robyn), Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or advanced R programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

Diff between lares versions 5.2.9 dated 2024-09-12 and 5.2.10 dated 2024-12-13

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Package MetricGraph updated to version 1.4.0 with previous version 1.3.0 dated 2024-02-27

Title: Random Fields on Metric Graphs
Description: Facilitates creation and manipulation of metric graphs, such as street or river networks. Further facilitates operations and visualizations of data on metric graphs, and the creation of a large class of random fields and stochastic partial differential equations on such spaces. These random fields can be used for simulation, prediction and inference. In particular, linear mixed effects models including random field components can be fitted to data based on computationally efficient sparse matrix representations. Interfaces to the R packages 'INLA' and 'inlabru' are also provided, which facilitate working with Bayesian statistical models on metric graphs. The main references for the methods are Bolin, Simas and Wallin (2024) <doi:10.3150/23-BEJ1647>, Bolin, Kovacs, Kumar and Simas (2023) <doi:10.1090/mcom/3929> and Bolin, Simas and Wallin (2023) <doi:10.48550/arXiv.2304.03190> and <doi:10.48550/arXiv.2304.10372>.
Author: David Bolin [cre, aut], Alexandre Simas [aut], Jonas Wallin [aut]
Maintainer: David Bolin <davidbolin@gmail.com>

Diff between MetricGraph versions 1.3.0 dated 2024-02-27 and 1.4.0 dated 2024-12-13

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Package sisireg updated to version 1.1.2 with previous version 1.1.1 dated 2023-09-20

Title: Sign-Simplicity-Regression-Solver
Description: Implementation of the SSR-Algorithm. The Sign-Simplicity-Regression model is a nonparametric statistical model which is based on residual signs and simplicity assumptions on the regression function. Goal is to calculate the most parsimonious regression function satisfying the statistical adequacy requirements. Theory and functions are specified in Metzner (2020, ISBN: 979-8-68239-420-3, "Trendbasierte Prognostik") and Metzner (2021, ISBN: 979-8-59347-027-0, "Adäquates Maschinelles Lernen").
Author: Lars Metzner [aut, cre]
Maintainer: Lars Metzner <lars.metzner@ppi.de>

Diff between sisireg versions 1.1.1 dated 2023-09-20 and 1.1.2 dated 2024-12-13

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Package mixedbiastest updated to version 0.3.0 with previous version 0.2.1 dated 2024-12-05

Title: Bias Diagnostic for Linear Mixed Models
Description: Provides a function to perform bias diagnostics on linear mixed models fitted with lmer() from the 'lme4' package. Implements permutation tests for assessing the bias of fixed effects, as described in Karl and Zimmerman (2021) <doi:10.1016/j.jspi.2020.06.004>. Karl and Zimmerman (2020) <doi:10.17632/tmynggddfm.1> provide R code for implementing the test using 'mvglmmRank' output. Development of this package was assisted by 'GPT o1-preview' for code structure and documentation.
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

Diff between mixedbiastest versions 0.2.1 dated 2024-12-05 and 0.3.0 dated 2024-12-13

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Package cpp11armadillo updated to version 0.4.0 with previous version 0.3.3 dated 2024-09-02

Title: An 'Armadillo' Interface
Description: Provides function declarations and inline function definitions that facilitate communication between R and the 'Armadillo' 'C++' library for linear algebra and scientific computing. This implementation is detailed in Vargas Sepulveda and Schneider Malamud (2024) <doi:10.48550/arXiv.2408.11074>.
Author: Mauricio Vargas Sepulveda [aut, cre] , Jonathan Schneider Malamud [ctb], Conrad Sanderson [aut] )
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>

Diff between cpp11armadillo versions 0.3.3 dated 2024-09-02 and 0.4.0 dated 2024-12-13

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Thu, 12 Dec 2024

Package slca updated to version 1.3.0 with previous version 1.2.0 dated 2024-11-01

Title: Structural Modeling for Multiple Latent Class Variables
Description: Provides comprehensive tools for the implementation of Structural Latent Class Models (SLCM), including Latent Transition Analysis (LTA; Linda M. Collins and Stephanie T. Lanza, 2009) <doi:10.1002/9780470567333>, Latent Class Profile Analysis (LCPA; Hwan Chung et al., 2010) <doi:10.1111/j.1467-985x.2010.00674.x>, and Joint Latent Class Analysis (JLCA; Saebom Jeon et al., 2017) <doi:10.1080/10705511.2017.1340844>, and any other extended models involving multiple latent class variables.
Author: Youngsun Kim [aut, cre] , Hwan Chung [aut]
Maintainer: Youngsun Kim <yskstat@gmail.com>

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Package economiccomplexity updated to version 2.0.0 with previous version 1.5.0 dated 2023-08-07

Title: Computational Methods for Economic Complexity
Description: A wrapper of different methods from Linear Algebra for the equations introduced in The Atlas of Economic Complexity and related literature. This package provides standard matrix and graph output that can be used seamlessly with other packages. See <doi:10.21105/joss.01866> for a summary of these methods and its evolution in literature.
Author: Mauricio Vargas Sepulveda [aut, cre, cph] , Carlo Bottai [ctb] , Diego Kozlowski [ctb] , Nico Pintar [rev] , The World Bank [dtc] , Open Trade Statistics [dtc]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>

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Package h3r updated to version 0.1.2 with previous version 0.1.1 dated 2024-03-12

Title: Hexagonal Hierarchical Geospatial Indexing System
Description: Provides access to Uber's 'H3' geospatial indexing system via 'h3lib' <https://CRAN.R-project.org/package=h3lib>. 'h3r' is designed to mimic the 'H3' Application Programming Interface (API) <https://h3geo.org/docs/api/indexing/>, so that any function in the API is also available in 'h3r'.
Author: David Cooley [aut, cre], Ray Shao [aut]
Maintainer: David Cooley <dcooley@symbolix.com.au>

Diff between h3r versions 0.1.1 dated 2024-03-12 and 0.1.2 dated 2024-12-12

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Package psc updated to version 1.1.0 with previous version 1.0.0 dated 2024-11-20

Title: Personalised Synthetic Controls
Description: Allows the comparison of data cohorts (DC) against a Counter Factual Model (CFM) and measures the difference in terms of an efficacy parameter. Allows the application of Personalised Synthetic Controls.
Author: Richard Jackson [cre, aut]
Maintainer: Richard Jackson <richJ23@liverpool.ac.uk>

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Package emmeans updated to version 1.10.6 with previous version 1.10.5 dated 2024-10-14

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell V. Lenth [aut, cre, cph], Balazs Banfai [ctb], Ben Bolker [ctb], Paul Buerkner [ctb], Iago Gine-Vazquez [ctb], Maxime Herve [ctb], Maarten Jung [ctb], Jonathon Love [ctb], Fernando Miguez [ctb], Julia Piaskowski [ctb], Hannes Riebl [ctb], Hen [...truncated...]
Maintainer: Russell V. Lenth <russell-lenth@uiowa.edu>

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Package enderecobr updated to version 0.3.0 with previous version 0.2.1 dated 2024-11-18

Title: Padronizador de Endereços Brasileiros (Brazilian Addresses Standardizer)
Description: Padroniza endereços brasileiros a partir de diferentes critérios. Os métodos de padronização incluem apenas manipulações básicas de strings, não oferecendo suporte a correspondências probabilísticas entre strings. (Standardizes brazilian addresses using different criteria. Standardization methods include only basic string manipulation, not supporting probabilistic matches between strings.)
Author: Daniel Herszenhut [aut, cre] , Rafael H. M. Pereira [aut] , Lucas Mation [aut]
Maintainer: Daniel Herszenhut <dhersz@gmail.com>

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Package options updated to version 0.3.0 with previous version 0.2.0 dated 2024-05-12

Title: Simple, Consistent Package Options
Description: Simple mechanisms for defining and interpreting package options. Provides helpers for interpreting environment variables, global options, defining default values and more.
Author: Doug Kelkhoff [aut, cre]
Maintainer: Doug Kelkhoff <doug.kelkhoff@gmail.com>

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Package HQM updated to version 0.1.4 with previous version 0.1.2 dated 2024-12-04

Title: Superefficient Estimation of Future Conditional Hazards Based on Marker Information
Description: Provides a nonparametric smoothed kernel density estimator for the future conditional hazard when time-dependent covariates are present. It also provides pointwise and uniform confidence bands and a bandwidth selection.
Author: Dimitrios Bagkavos [aut, cre], Alex Isakson [ctb], Enno Mammen [ctb], Jens Nielsen [ctb], Cecile Proust-Lima [ctb]
Maintainer: Dimitrios Bagkavos <dimitrios.bagkavos@gmail.com>

Diff between HQM versions 0.1.2 dated 2024-12-04 and 0.1.4 dated 2024-12-12

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Package coursekata updated to version 0.18.1 with previous version 0.18.0 dated 2024-08-16

Title: Packages and Functions for 'CourseKata' Courses
Description: Easily install and load all packages and functions used in 'CourseKata' courses. Aid teaching with helper functions and augment generic functions to provide cohesion between the network of packages. Learn more about 'CourseKata' at <https://coursekata.org>.
Author: Adam Blake [cre, aut] , Ji Son [aut] , Jim Stigler [aut]
Maintainer: Adam Blake <adam@coursekata.org>

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Package PatientProfiles updated to version 1.2.3 with previous version 1.2.2 dated 2024-11-28

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

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Package FPDclustering updated to version 2.3.2 with previous version 2.3.1 dated 2024-01-29

Title: PD-Clustering and Related Methods
Description: Probabilistic distance clustering (PD-clustering) is an iterative, distribution-free, probabilistic clustering method. PD-clustering assigns units to a cluster according to their probability of membership under the constraint that the product of the probability and the distance of each point to any cluster center is a constant. PD-clustering is a flexible method that can be used with elliptical clusters, outliers, or noisy data. PDQ is an extension of the algorithm for clusters of different sizes. GPDC and TPDC use a dissimilarity measure based on densities. Factor PD-clustering (FPDC) is a factor clustering method that involves a linear transformation of variables and a cluster optimizing the PD-clustering criterion. It works on high-dimensional data sets.
Author: Cristina Tortora [aut, cre, cph], Noe Vidales [aut], Francesco Palumbo [aut], Tina Kalra [aut], Paul D. McNicholas [fnd]
Maintainer: Cristina Tortora <grikris1@gmail.com>

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Package CompareTests updated to version 1.3 with previous version 1.2 dated 2017-02-06

Title: Correct for Verification Bias in Diagnostic Accuracy & Agreement
Description: A standard test is observed on all specimens. We treat the second test (or sampled test) as being conducted on only a stratified sample of specimens. Verification Bias is this situation when the specimens for doing the second (sampled) test is not under investigator control. We treat the total sample as stratified two-phase sampling and use inverse probability weighting. We estimate diagnostic accuracy (category-specific classification probabilities; for binary tests reduces to specificity and sensitivity, and also predictive values) and agreement statistics (percent agreement, percent agreement by category, Kappa (unweighted), Kappa (quadratic weighted) and symmetry tests (reduces to McNemar's test for binary tests)). See: Katki HA, Li Y, Edelstein DW, Castle PE. Estimating the agreement and diagnostic accuracy of two diagnostic tests when one test is conducted on only a subsample of specimens. Stat Med. 2012 Feb 28; 31(5) <doi:10.1002/sim.4422>.
Author: Hormuzd A. Katki [aut], David W. Edelstein [aut], Hormuzd Katki [cre]
Maintainer: Hormuzd Katki <katkih@mail.nih.gov>

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Package clusterMI updated to version 1.3 with previous version 1.2.2 dated 2024-10-23

Title: Cluster Analysis with Missing Values by Multiple Imputation
Description: Allows clustering of incomplete observations by addressing missing values using multiple imputation. For achieving this goal, the methodology consists in three steps, following Audigier and Niang 2022 <doi:10.1007/s11634-022-00519-1>. I) Missing data imputation using dedicated models. Four multiple imputation methods are proposed, two are based on joint modelling and two are fully sequential methods, as discussed in Audigier et al. (2021) <doi:10.48550/arXiv.2106.04424>. II) cluster analysis of imputed data sets. Six clustering methods are available (distances-based or model-based), but custom methods can also be easily used. III) Partition pooling. The set of partitions is aggregated using Non-negative Matrix Factorization based method. An associated instability measure is computed by bootstrap (see Fang, Y. and Wang, J., 2012 <doi:10.1016/j.csda.2011.09.003>). Among applications, this instability measure can be used to choose a number of clusters with missing value [...truncated...]
Author: Vincent Audigier [aut, cre] , Hang Joon Kim [ctb]
Maintainer: Vincent Audigier <vincent.audigier@cnam.fr>

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Package PHEindicatormethods updated to version 2.1.0 with previous version 2.0.2 dated 2024-01-25

Title: Common Public Health Statistics and their Confidence Intervals
Description: Functions to calculate commonly used public health statistics and their confidence intervals using methods approved for use in the production of Public Health England indicators such as those presented via Fingertips (<https://fingertips.phe.org.uk/>). It provides functions for the generation of proportions, crude rates, means, directly standardised rates, indirectly standardised rates, standardised mortality ratios, slope and relative index of inequality and life expectancy. Statistical methods are referenced in the following publications. Breslow NE, Day NE (1987) <doi:10.1002/sim.4780080614>. Dobson et al (1991) <doi:10.1002/sim.4780100317>. Armitage P, Berry G (2002) <doi:10.1002/9780470773666>. Wilson EB. (1927) <doi:10.1080/01621459.1927.10502953>. Altman DG et al (2000, ISBN: 978-0-727-91375-3). Chiang CL. (1968, ISBN: 978-0-882-75200-6). Newell C. (1994, ISBN: 978-0-898-62451-9). Eayres DP, Williams ES (2004) <doi:10.1136/jech.2003.009654>. S [...truncated...]
Author: Georgina Anderson [aut, cre], Sebastian Fox [ctb], Matthew Francis [ctb], Paul Fryers [ctb], Emma Clegg [ctb], Annabel Westermann [ctb], Joshua Woolner [ctb], Charlotte Fellows [ctb], Olivia Box Power [ctb]
Maintainer: Georgina Anderson <georgina.anderson@dhsc.gov.uk>

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Package depCensoring updated to version 0.1.5 with previous version 0.1.4 dated 2024-12-04

Title: Statistical Methods for Survival Data with Dependent Censoring
Description: Several statistical methods for analyzing survival data under various forms of dependent censoring are implemented in the package. In addition to accounting for dependent censoring, it offers tools to adjust for unmeasured confounding factors. The implemented approaches allow users to estimate the dependency between survival time and dependent censoring time, based solely on observed survival data. For more details on the methods, refer to Deresa and Van Keilegom (2021) <doi:10.1093/biomet/asaa095>, Czado and Van Keilegom (2023) <doi:10.1093/biomet/asac067>, Crommen et al. (2024) <doi:10.1007/s11749-023-00903-9>, Deresa and Van Keilegom (2024) <doi:10.1080/01621459.2022.2161387> and Willems et al. (2024+) <doi:10.48550/arXiv.2403.11860> and Ding and Van Keilegom (2024).
Author: Ilias Willems [aut] , Gilles Crommen [aut] , Negera Wakgari Deresa [aut, cre] , Jie Ding [aut] , Claudia Czado [aut] , Ingrid Van Keilegom [aut]
Maintainer: Negera Wakgari Deresa <negera.deresa@gmail.com>

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Package cocons updated to version 0.1.4 with previous version 0.1.3 dated 2024-10-15

Title: Covariate-Based Covariance Functions for Nonstationary Spatial Modeling
Description: Estimation, prediction, and simulation of nonstationary Gaussian process with modular covariate-based covariance functions. Sources of nonstationarity, such as spatial mean, variance, geometric anisotropy, smoothness, and nugget, can be considered based on spatial characteristics. An induced compact-supported nonstationary covariance function is provided, enabling fast and memory-efficient computations when handling densely sampled domains.
Author: Federico Blasi [aut, cre] , Reinhard Furrer [ctb]
Maintainer: Federico Blasi <federico.blasi@gmail.com>

Diff between cocons versions 0.1.3 dated 2024-10-15 and 0.1.4 dated 2024-12-12

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Package RODBC updated to version 1.3-26 with previous version 1.3-25.1 dated 2024-12-11

Title: ODBC Database Access
Description: An ODBC database interface.
Author: Brian Ripley [aut, cre], Michael Lapsley [aut]
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

Diff between RODBC versions 1.3-25.1 dated 2024-12-11 and 1.3-26 dated 2024-12-12

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Package rms updated to version 6.9-0 with previous version 6.8-2 dated 2024-08-23

Title: Regression Modeling Strategies
Description: Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.
Author: Frank E Harrell Jr [aut, cre]
Maintainer: Frank E Harrell Jr <fh@fharrell.com>

Diff between rms versions 6.8-2 dated 2024-08-23 and 6.9-0 dated 2024-12-12

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Package PublicWorksFinanceIT updated to version 0.3.1 with previous version 0.3.0 dated 2024-10-29

Title: Soil Defense Investments in Italy: Data Retrieval, Analysis, Visualization
Description: Facilitates the retrieval and analysis of financial data related to public works in Italy, focusing on soil defense investments. It extracts data from 'OpenCoesione', 'OpenBDAP', and the 'ReNDiS' database, eliminating the need for direct access to these platforms. The package boasts a user-friendly design, featuring real time updates and a set of functions tailored for data retrieval and visualization. See the webpages for further information <http://www.rendis.isprambiente.it/rendisweb/>, <https://opencoesione.gov.it/en/>, and <https://bdap-opendata.rgs.mef.gov.it/>.
Author: Lorena Ricciotti [aut, cre] , Alessio Pollice [ths]
Maintainer: Lorena Ricciotti <lorena.ricciotti@uniba.it>

Diff between PublicWorksFinanceIT versions 0.3.0 dated 2024-10-29 and 0.3.1 dated 2024-12-12

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Package ganGenerativeData updated to version 2.1.4 with previous version 2.1.3 dated 2024-10-07

Title: Generate Generative Data for a Data Source
Description: Generative Adversarial Networks are applied to generate generative data for a data source. A generative model consisting of a generator and a discriminator network is trained. During iterative training the distribution of generated data is converging to that of the data source. Direct applications of generative data are the created functions for data evaluation, missing data completion and data classification. A software service for accelerated training of generative models on graphics processing units is available. Reference: Goodfellow et al. (2014) <doi:10.48550/arXiv.1406.2661>.
Author: Werner Mueller [aut, cre]
Maintainer: Werner Mueller <werner.mueller5@chello.at>

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Package glmmrBase updated to version 0.11.2 with previous version 0.11.1 dated 2024-12-09

Title: Generalised Linear Mixed Models in R
Description: Specification, analysis, simulation, and fitting of generalised linear mixed models. Includes Markov Chain Monte Carlo Maximum likelihood and Laplace approximation model fitting for a range of models, non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily, robust and bias-corrected standard error estimation, power calculation, data simulation, and more. See <https://samuel-watson.github.io/glmmr-web/> for a detailed manual.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>

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Package RJDemetra updated to version 0.2.8 with previous version 0.2.7 dated 2024-10-01

Title: Interface to 'JDemetra+' Seasonal Adjustment Software
Description: Interface around 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System (ESS) and the European System of Central Banks. It offers full access to all options and outputs of 'JDemetra+', including the two leading seasonal adjustment methods TRAMO/SEATS+ and X-12ARIMA/X-13ARIMA-SEATS.
Author: Alain Quartier-la-Tente [aut, cre] , Anna Michalek [aut], Jean Palate [aut], Raf Baeyens [aut]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>

Diff between RJDemetra versions 0.2.7 dated 2024-10-01 and 0.2.8 dated 2024-12-12

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Package pingr updated to version 2.0.5 with previous version 2.0.4 dated 2024-10-28

Title: Check if a Remote Computer is Up
Description: Check if a remote computer is up. It can either just call the system ping command, or check a specified TCP port.
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between pingr versions 2.0.4 dated 2024-10-28 and 2.0.5 dated 2024-12-12

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Package GPvam updated to version 3.2-0 with previous version 3.1-2 dated 2024-11-17

Title: Maximum Likelihood Estimation of Multiple Membership Mixed Models Used in Value-Added Modeling
Description: An EM algorithm, Karl et al. (2013) <doi:10.1016/j.csda.2012.10.004>, is used to estimate the generalized, variable, and complete persistence models, Mariano et al. (2010) <doi:10.3102/1076998609346967>. These are multiple-membership linear mixed models with teachers modeled as "G-side" effects and students modeled with either "G-side" or "R-side" effects.
Author: Andrew Karl [cre, aut] , Yan Yang [aut], Sharon Lohr [aut]
Maintainer: Andrew Karl <akarl@asu.edu>

Diff between GPvam versions 3.1-2 dated 2024-11-17 and 3.2-0 dated 2024-12-12

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Package terra updated to version 1.8-5 with previous version 1.7-83 dated 2024-10-14

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started. 'terra' replaces the 'raster' package ('terra' can do more, and it is faster and easier to use).
Author: Robert J. Hijmans [cre, aut] , Roger Bivand [ctb] , Emanuele Cordano [ctb] , Krzysztof Dyba [ctb] , Edzer Pebesma [ctb] , Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between terra versions 1.7-83 dated 2024-10-14 and 1.8-5 dated 2024-12-12

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Package phoenics updated to version 0.4 with previous version 0.3 dated 2024-07-22

Title: Pathways Longitudinal and Differential Analysis in Metabolomics
Description: Perform a differential analysis at pathway level based on metabolite quantifications and information on pathway metabolite composition. The method is based on a Principal Component Analysis step and on a linear mixed model. Automatic query of metabolic pathways is also implemented.
Author: Camille Guilmineau [aut, cre], Remi Servien [aut] , Nathalie Vialaneix [aut]
Maintainer: Camille Guilmineau <camille.guilmineau@inrae.fr>

Diff between phoenics versions 0.3 dated 2024-07-22 and 0.4 dated 2024-12-12

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Package WeightedTreemaps updated to version 0.1.4 with previous version 0.1.3 dated 2024-11-04

Title: Generate and Plot Voronoi or Sunburst Treemaps from Hierarchical Data
Description: Treemaps are a visually appealing graphical representation of numerical data using a space-filling approach. A plane or 'map' is subdivided into smaller areas called cells. The cells in the map are scaled according to an underlying metric which allows to grasp the hierarchical organization and relative importance of many objects at once. This package contains two different implementations of treemaps, Voronoi treemaps and Sunburst treemaps. The Voronoi treemap function subdivides the plot area in polygonal cells according to the highest hierarchical level, then continues to subdivide those parental cells on the next lower hierarchical level, and so on. The Sunburst treemap is a computationally less demanding treemap that does not require iterative refinement, but simply generates circle sectors that are sized according to predefined weights. The Voronoi tesselation is based on functions from Paul Murrell (2012) <https://www.stat.auckland.ac.nz/~paul/Reports/VoronoiTreemap/voronoi [...truncated...]
Author: Michael Jahn [aut, cre] , David Leslie [aut], Ahmadou Dicko [aut] , Dunipace Eric [aut] , Paul Murrell [aut, cph]
Maintainer: Michael Jahn <jahn@mpusp.mpg.de>

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Package RoBMA updated to version 3.2.0 with previous version 3.1.0 dated 2023-07-18

Title: Robust Bayesian Meta-Analyses
Description: A framework for estimating ensembles of meta-analytic models (assuming either presence or absence of the effect, heterogeneity, and publication bias). The RoBMA framework uses Bayesian model-averaging to combine the competing meta-analytic models into a model ensemble, weights the posterior parameter distributions based on posterior model probabilities and uses Bayes factors to test for the presence or absence of the individual components (e.g., effect vs. no effect; Bartoš et al., 2022, <doi:10.1002/jrsm.1594>; Maier, Bartoš & Wagenmakers, 2022, <doi:10.1037/met0000405>). Users can define a wide range of non-informative or informative prior distributions for the effect size, heterogeneity, and publication bias components (including selection models and PET-PEESE). The package provides convenient functions for summary, visualizations, and fit diagnostics.
Author: Frantisek Bartos [aut, cre] , Maximilian Maier [aut] , Eric-Jan Wagenmakers [ths] , Joris Goosen [ctb], Matthew Denwood [cph] , Martyn Plummer [cph]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package hexfont updated to version 0.5.1 with previous version 0.4.0 dated 2023-12-18

Title: 'GNU Unifont' Hex Fonts
Description: Contains most of the hex font files from the 'GNU Unifont Project' <https://unifoundry.com/unifont/> compressed by 'xz'. 'GNU Unifont' is a duospaced bitmap font that attempts to cover all the official Unicode glyphs plus several of the artificial scripts in the '(Under-)ConScript Unicode Registry' <https://www.kreativekorp.com/ucsur/>. Provides a convenience function for loading in several of them at the same time as a 'bittermelon' bitmap font object for easy rendering of the glyphs in an 'R' terminal or graphics device.
Author: Trevor L. Davis [aut, cre] , GNU Unifont authors [cph]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

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Package ExtremalDep updated to version 0.0.4-3 with previous version 0.0.4-2 dated 2024-10-06

Title: Extremal Dependence Models
Description: A set of procedures for parametric and non-parametric modelling of the dependence structure of multivariate extreme-values is provided. The statistical inference is performed with non-parametric estimators, likelihood-based estimators and Bayesian techniques. It adapts the methodologies of Beranger and Padoan (2015) <doi:10.48550/arXiv.1508.05561>, Marcon et al. (2016) <doi:10.1214/16-EJS1162>, Marcon et al. (2017) <doi:10.1002/sta4.145>, Marcon et al. (2017) <doi:10.1016/j.jspi.2016.10.004> and Beranger et al. (2021) <doi:10.1007/s10687-019-00364-0>. This package also allows for the modelling of spatial extremes using flexible max-stable processes. It provides simulation algorithms and fitting procedures relying on the Stephenson-Tawn likelihood as per Beranger at al. (2021) <doi:10.1007/s10687-020-00376-1>.
Author: Boris Beranger [aut], Simone Padoan [cre, aut], Giulia Marcon [aut], Steven G. Johnson [ctb] , Rudolf Schuerer [ctb] , Brian Gough [ctb] , Alec G. Stephenson [ctb], Anne Sabourin [ctb] , Philippe Naveau [ctb]
Maintainer: Simone Padoan <simone.padoan@unibocconi.it>

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Package VertexWiseR updated to version 1.2.0 with previous version 1.1.0 dated 2024-10-09

Title: Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal Surface
Description: Provides functions to run statistical analyses on surface-based neuroimaging data, computing measures including cortical thickness and surface area of the whole-brain and of the hippocampi. It can make use of 'FreeSurfer', 'fMRIprep' and 'HCP' preprocessed datasets and 'HippUnfold' hippocampal segmentation outputs for a given sample by restructuring the data values into a single file. The single file can then be used by the package for analyses independently from its base dataset and without need for its access.
Author: Junhong Yu [aut] , Charly Billaud [aut, cre]
Maintainer: Charly Billaud <charly.billaud@ntu.edu.sg>

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Package reproducible updated to version 2.1.2 with previous version 2.1.0 dated 2024-05-29

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 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 gptoolsStan updated to version 0.2.0 with previous version 0.1.0 dated 2023-12-19

Title: Gaussian Processes on Graphs and Lattices in 'Stan'
Description: Gaussian processes are flexible distributions to model functional data. Whilst theoretically appealing, they are computationally cumbersome except for small datasets. This package implements two methods for scaling Gaussian process inference in 'Stan'. First, a sparse approximation of the likelihood that is generally applicable and, second, an exact method for regularly spaced data modeled by stationary kernels using fast Fourier methods. Utility functions are provided to compile and fit 'Stan' models using the 'cmdstanr' interface. References: Hoffmann and Onnela (2022) <doi:10.48550/arXiv.2301.08836>.
Author: Till Hoffmann [aut, cre] , Jukka-Pekka Onnela [ctb]
Maintainer: Till Hoffmann <thoffmann@hsph.harvard.edu>

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Package qs2 updated to version 0.1.4 with previous version 0.1.3 dated 2024-12-02

Title: Efficient Serialization of R Objects
Description: Streamlines and accelerates the process of saving and loading R objects, improving speed and compression compared to other methods. The package provides two compression formats: the 'qs2' format, which uses R serialization via the C API while optimizing compression and disk I/O, and the 'qdata' format, featuring custom serialization for slightly faster performance and better compression. Additionally, the 'qs2' format can be directly converted to the standard 'RDS' format, ensuring long-term compatibility with future versions of R.
Author: Travers Ching [aut, cre, cph], Yann Collet [ctb, cph] , Facebook, Inc. [cph] , Reichardt Tino [ctb, cph] , Skibinski Przemyslaw [ctb, cph] , Mori Yuta [ctb, cph] , Francesc Alted [ctb, cph]
Maintainer: Travers Ching <traversc@gmail.com>

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Wed, 11 Dec 2024

Package RcppCCTZ updated to version 0.2.13 with previous version 0.2.12 dated 2022-11-06

Title: 'Rcpp' Bindings for the 'CCTZ' Library
Description: 'Rcpp' Access to the 'CCTZ' timezone library is provided. 'CCTZ' is a C++ library for translating between absolute and civil times using the rules of a time zone. The 'CCTZ' source code, released under the Apache 2.0 License, is included in this package. See <https://github.com/google/cctz> for more details.
Author: Dirk Eddelbuettel [aut, cre] , Bradley White [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package bcdata updated to version 0.5.0 with previous version 0.4.1 dated 2023-03-18

Title: Search and Retrieve Data from the BC Data Catalogue
Description: Search, query, and download tabular and 'geospatial' data from the British Columbia Data Catalogue (<https://catalogue.data.gov.bc.ca/>). Search catalogue data records based on keywords, data licence, sector, data format, and B.C. government organization. View metadata directly in R, download many data formats, and query 'geospatial' data available via the B.C. government Web Feature Service ('WFS') using 'dplyr' syntax.
Author: Andy Teucher [aut, cre] , Sam Albers [aut, ctb] , Stephanie Hazlitt [aut, ctb] , Province of British Columbia [cph]
Maintainer: Andy Teucher <andy.teucher@gmail.com>

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Package h3lib updated to version 0.1.4 with previous version 0.1.3 dated 2024-01-30

Title: Exposes the 'Uber' 'H3' Library to R Packages
Description: 'H3' is a hexagonal hierarchical spatial index developed by 'Uber' <https://h3geo.org/>. This package exposes the source code of 'H3' (written in 'C') to routines that are callable through 'R'.
Author: David Cooley [aut, cre], Ray Shao [ctb]
Maintainer: David Cooley <dcooley@symbolix.com.au>

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Package PAMmisc updated to version 1.12.3 with previous version 1.12.1 dated 2024-06-10

Title: Miscellaneous Functions for Passive Acoustic Analysis
Description: A collection of miscellaneous functions for passive acoustics. Much of the content here is adapted to R from code written by other people. If you have any ideas of functions to add, please contact Taiki Sakai.
Author: Taiki Sakai [aut, cre], Jay Barlow [ctb], Julie Oswald [ctb], Val Schmidt [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>

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Package ofpetrial updated to version 0.1.2 with previous version 0.1.1 dated 2024-05-15

Title: Design on-Farm Precision Field Agronomic Trials
Description: A comprehensive system for designing and implementing on-farm precision field agronomic trials. You provide field data, tell 'ofpetrial' how to design a trial, and get readily-usable trial design files and a report checks the validity and reliability of the trial design.
Author: Taro Mieno [aut, cre, cph] , Brittani Edge [aut, ctb]
Maintainer: Taro Mieno <tmieno2@unl.edu>

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Package flipscores updated to version 1.3.2 with previous version 1.3.1 dated 2024-11-22

Title: Robust Score Testing in GLMs, by Sign-Flip Contributions
Description: Provides robust tests for testing in GLMs, by sign-flipping score contributions. The tests are robust against overdispersion, heteroscedasticity and, in some cases, ignored nuisance variables. See Hemerik, Goeman and Finos (2020) <doi:10.1111/rssb.12369>.
Author: Livio Finos [cre, aut] , Jelle J. Goeman [ctb], Jesse Hemerik [ctb], Riccardo De Santis [ctb]
Maintainer: Livio Finos <livio.finos@unipd.it>

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Package mkde updated to version 0.4 with previous version 0.3 dated 2024-07-02

Title: 2D and 3D Movement-Based Kernel Density Estimates (MKDEs)
Description: Provides functions to compute and visualize movement-based kernel density estimates (MKDEs) for animal utilization distributions in 2 or 3 spatial dimensions.
Author: Jeff A. Tracey [aut], James Sheppard [aut], Jun Zhu [aut], Amit Chourasia [aut], Glenn Lockwood [aut], Matthew Wang [aut], Robert N. Fisher [aut], Robert Sinkovits [aut, cre]
Maintainer: Robert Sinkovits <sinkovit@sdsc.edu>

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Package mcmcsae updated to version 0.7.8 with previous version 0.7.7 dated 2024-02-26

Title: Markov Chain Monte Carlo Small Area Estimation
Description: Fit multi-level models with possibly correlated random effects using Markov Chain Monte Carlo simulation. Such models allow smoothing over space and time and are useful in, for example, small area estimation.
Author: Harm Jan Boonstra [aut, cre], Grzegorz Baltissen [ctb]
Maintainer: Harm Jan Boonstra <hjboonstra@gmail.com>

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Package epicmodel updated to version 0.2.0 with previous version 0.1.1 dated 2024-11-08

Title: Causal Modeling in Epidemiology
Description: Create causal models for use in epidemiological studies, including sufficient-component cause models as introduced by Rothman (1976) <doi:10.1093/oxfordjournals.aje.a112335>.
Author: Felix Forster [aut, cre, cph]
Maintainer: Felix Forster <felix.forster@med.uni-muenchen.de>

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Package effectplots updated to version 0.2.0 with previous version 0.1.0 dated 2024-11-18

Title: Effect Plots
Description: High-performance implementation of various effect plots useful for regression and probabilistic classification tasks. The package includes partial dependence plots (Friedman, 2021, <doi:10.1214/aos/1013203451>), accumulated local effect plots and M-plots (both from Apley and Zhu, 2016, <doi:10.1111/rssb.12377>), as well as plots that describe the statistical associations between model response and features. It supports visualizations with either 'ggplot2' or 'plotly', and is compatible with most models, including 'Tidymodels', models wrapped in 'DALEX' explainers, or models with case weights.
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between effectplots versions 0.1.0 dated 2024-11-18 and 0.2.0 dated 2024-12-11

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Package volker updated to version 3.0.0 with previous version 2.1.0 dated 2024-09-10

Title: High-Level Functions for Tabulating, Charting and Reporting Survey Data
Description: Craft polished tables and plots in Markdown reports. Simply choose whether to treat your data as counts or metrics, and the package will automatically generate well-designed default tables and plots for you. Boiled down to the basics, with labeling features and simple interactive reports. All functions are 'tidyverse' compatible.
Author: Jakob Juenger [aut, cre, cph] , Henrieke Kotthoff [aut, ctb], Chantal Gaertner [ctb]
Maintainer: Jakob Juenger <jakob.juenger@uni-muenster.de>

Diff between volker versions 2.1.0 dated 2024-09-10 and 3.0.0 dated 2024-12-11

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 volker-3.0.0/volker/MD5                                                          |  443 
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Package Simile updated to version 1.3.4 with previous version 1.3.3 dated 2015-02-19

Title: Interact with Simile Models
Description: Allows a Simile model saved as a compiled binary to be loaded, parameterized, executed and interrogated. This version works with Simile v6 on.
Author: Simulistics Ltd [cph], Jasper Taylor [aut, cre]
Maintainer: Jasper Taylor <support@simulistics.com>

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Package rerddap updated to version 1.2.0 with previous version 1.1.0 dated 2024-01-12

Title: General Purpose Client for 'ERDDAP™' Servers
Description: General purpose R client for 'ERDDAP™' servers. Includes functions to search for 'datasets', get summary information on 'datasets', and fetch 'datasets', in either 'csv' or 'netCDF' format. 'ERDDAP™' information: <https://upwell.pfeg.noaa.gov/erddap/information.html>.
Author: Scott Chamberlain [aut], Ben Tupper [ctb], Salvador Jesus Fernandez Bejarano [ctb], Roy Mendelssohn [cre, ctb]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package cluster updated to version 2.1.8 with previous version 2.1.7 dated 2024-12-08

Title: "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.
Description: Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".
Author: Martin Maechler [aut, cre] , Peter Rousseeuw [aut] , Anja Struyf [aut] , Mia Hubert [aut] , Kurt Hornik [trl, ctb] , <https://orcid.org/0000-0003-4198-9911>), Matthias Studer [ctb], Pierre Roudier [ctb], Juan Gonzalez [ctb], Kamil Kozlowski [ctb], Er [...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package warbleR updated to version 1.1.33 with previous version 1.1.32 dated 2024-08-19

Title: Streamline Bioacoustic Analysis
Description: Functions aiming to facilitate the analysis of the structure of animal acoustic signals in 'R'. 'warbleR' makes use of the basic sound analysis tools from the packages 'tuneR' and 'seewave', and offers new tools for explore and quantify acoustic signal structure. The package allows to organize and manipulate multiple sound files, create spectrograms of complete recordings or individual signals in different formats, run several measures of acoustic structure, and characterize different structural levels in acoustic signals.
Author: Marcelo Araya-Salas [aut, cre] , Grace Smith-Vidaurre [aut]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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Package tectonicr updated to version 0.4.4 with previous version 0.4.0 dated 2024-08-21

Title: Analyzing the Orientation of Maximum Horizontal Stress
Description: Models the direction of the maximum horizontal stress using relative plate motion parameters. Statistical algorithms to evaluate the modeling results compared with the observed data. Provides plots to visualize the results. Methods described in Stephan et al. (2023) <doi:10.1038/s41598-023-42433-2> and Wdowinski (1998) <doi:10.1016/S0079-1946(98)00091-3>.
Author: Tobias Stephan [aut, cre]
Maintainer: Tobias Stephan <tobias.stephan1@yahoo.com>

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Package sdsfun updated to version 0.6.0 with previous version 0.5.0 dated 2024-11-25

Title: Spatial Data Science Complementary Features
Description: Wrapping and supplementing commonly used functions in the R ecosystem related to spatial data science, while serving as a basis for other packages maintained by Wenbo Lv.
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

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Package funcharts updated to version 1.6.0 with previous version 1.5.0 dated 2024-07-19

Title: Functional Control Charts
Description: Provides functional control charts for statistical process monitoring of functional data, using the methods of Capezza et al. (2020) <doi:10.1002/asmb.2507>, Centofanti et al. (2021) <doi:10.1080/00401706.2020.1753581>, Capezza et al. (2024) <doi:10.1080/00401706.2024.2327346>, Capezza et al. (2024) <doi:10.1080/00224065.2024.2383674>, Centofanti et al. (2022) <doi:10.48550/arXiv.2205.06256>. The package is thoroughly illustrated in the paper of Capezza et al (2023) <doi:10.1080/00224065.2023.2219012>.
Author: Christian Capezza [cre, aut], Fabio Centofanti [aut], Antonio Lepore [aut], Biagio Palumbo [aut], Alessandra Menafoglio [ctb], Simone Vantini [ctb]
Maintainer: Christian Capezza <christian.capezza@unina.it>

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Package UComp updated to version 5.0.5 with previous version 5.0.4 dated 2024-07-26

Title: Automatic Univariate Time Series Modelling of many Kinds
Description: Comprehensive analysis and forecasting of univariate time series using automatic time series models of many kinds. 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>. Gómez V, Maravall A (2000) <doi:10.1002/9781118032978>. Pedregal DJ, Trapero JR and Holgado E (2024) <doi:10.1016/j.ijforecast.2023.09.004>.
Author: Diego J. Pedregal [aut, cre]
Maintainer: Diego J. Pedregal <Diego.Pedregal@uclm.es>

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Package diseasystore updated to version 0.3.0 with previous version 0.2.2 dated 2024-07-15

Title: Feature Stores for the 'diseasy' Framework
Description: Simple feature stores and tools for creating personalised feature stores. 'diseasystore' powers feature stores which can automatically link and aggregate features to a given stratification level. These feature stores are automatically time-versioned (powered by the 'SCDB' package) and allows you to easily and dynamically compute features as part of your continuous integration.
Author: Rasmus Skytte Randloev [aut, cre] , Kaare Graesboell [rev] , Kasper Schou Telkamp [rev] , Lasse Engbo Christiansen [rev] , Marcus Munch Gruenewald [rev] , Sofia Myrup Otero [rev], Statens Serum Institut, SSI [cph, fnd]
Maintainer: Rasmus Skytte Randloev <rske@ssi.dk>

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Package tree updated to version 1.0-44 with previous version 1.0-43 dated 2023-02-05

Title: Classification and Regression Trees
Description: Classification and regression trees.
Author: Brian Ripley [aut, cre]
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

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Package tidytable updated to version 0.11.2 with previous version 0.11.1 dated 2024-07-18

Title: Tidy Interface to 'data.table'
Description: A tidy interface to 'data.table', giving users the speed of 'data.table' while using tidyverse-like syntax.
Author: Mark Fairbanks [aut, cre], Abdessabour Moutik [ctb], Matt Carlson [ctb], Ivan Leung [ctb], Ross Kennedy [ctb], Robert On [ctb], Alexander Sevostianov [ctb], Koen ter Berg [ctb]
Maintainer: Mark Fairbanks <mark.t.fairbanks@gmail.com>

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Package RODBC updated to version 1.3-25.1 with previous version 1.3-23 dated 2023-11-25

Title: ODBC Database Access
Description: An ODBC database interface.
Author: Brian Ripley [aut, cre], Michael Lapsley [aut]
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

Diff between RODBC versions 1.3-23 dated 2023-11-25 and 1.3-25.1 dated 2024-12-11

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Package rbmi updated to version 1.3.1 with previous version 1.3.0 dated 2024-10-16

Title: Reference Based Multiple Imputation
Description: Implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular, this package supports deterministic conditional mean imputation and jackknifing as described in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum likelihood imputation as described in von Hippel and Bartlett (2021) <doi: 10.1214/20-STS793>.
Author: Craig Gower-Page [aut, cre], Alessandro Noci [aut], Marcel Wolbers [ctb], Isaac Gravestock [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Craig Gower-Page <craig.gower-page@roche.com>

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Package qgg updated to version 1.1.3 with previous version 1.1.2 dated 2023-09-07

Title: Statistical Tools for Quantitative Genetic Analyses
Description: Provides an infrastructure for efficient processing of large-scale genetic and phenotypic data including core functions for: 1) fitting linear mixed models, 2) constructing marker-based genomic relationship matrices, 3) estimating genetic parameters (heritability and correlation), 4) performing genomic prediction and genetic risk profiling, and 5) single or multi-marker association analyses. Rohde et al. (2019) <doi:10.1101/503631>.
Author: Peter Soerensen [aut, cre], Palle Duun Rohde [aut], Izel Fourie Soerensen [aut]
Maintainer: Peter Soerensen <peter.sorensen@r-qgg.org>

Diff between qgg versions 1.1.2 dated 2023-09-07 and 1.1.3 dated 2024-12-11

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Package pspline updated to version 1.0-21 with previous version 1.0-20 dated 2024-05-25

Title: Penalized Smoothing Splines
Description: Smoothing splines with penalties on order m derivatives.
Author: S original by Jim Ramsey <ramsay@psych.mcgill.ca>. R port by Brian Ripley <Brian.Ripley@R-project.org>.
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

Diff between pspline versions 1.0-20 dated 2024-05-25 and 1.0-21 dated 2024-12-11

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Package mix updated to version 1.0-13 with previous version 1.0-12 dated 2024-05-13

Title: Estimation/Multiple Imputation for Mixed Categorical and Continuous Data
Description: Estimation/multiple imputation programs for mixed categorical and continuous data.
Author: Joseph L. Schafer [aut], Brian Ripley [aut, trl, cre]
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

Diff between mix versions 1.0-12 dated 2024-05-13 and 1.0-13 dated 2024-12-11

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Package jstable updated to version 1.3.8 with previous version 1.3.6 dated 2024-11-15

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Yoonkyoung Jeon [aut], Jaehun Shon [aut], Hyojong Myung [aut], Hyungwoo Jo [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package gee updated to version 4.13-29 with previous version 4.13-27 dated 2024-05-25

Title: Generalized Estimation Equation Solver
Description: Generalized Estimation Equation solver.
Author: Vincent J Carey [aut], Thomas S Lumley [trl] , Cleve Moler [ctb] , Brian Ripley [trl, cre, ctb]
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

Diff between gee versions 4.13-27 dated 2024-05-25 and 4.13-29 dated 2024-12-11

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Package FuzzyImputationTest updated to version 0.3.6 with previous version 0.3.4 dated 2024-10-30

Title: Imputation Procedures and Quality Tests for Fuzzy Data
Description: Special procedures for the imputation of missing fuzzy numbers are still underdeveloped. The goal of the package is to provide the new d-imputation method (DIMP for short, Romaniuk, M. and Grzegorzewski, P. (2023) "Fuzzy Data Imputation with DIMP and FGAIN" RB/23/2023) and covert some classical ones applied in R packages ('missForest','miceRanger','knn') for use with fuzzy datasets. Additionally, specially tailored benchmarking tests are provided to check and compare these imputation procedures with fuzzy datasets.
Author: Maciej Romaniuk [cre, aut]
Maintainer: Maciej Romaniuk <mroman@ibspan.waw.pl>

Diff between FuzzyImputationTest versions 0.3.4 dated 2024-10-30 and 0.3.6 dated 2024-12-11

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Package fastICA updated to version 1.2-7 with previous version 1.2-5.1 dated 2024-08-21

Title: FastICA Algorithms to Perform ICA and Projection Pursuit
Description: Implementation of FastICA algorithm to perform Independent Component Analysis (ICA) and Projection Pursuit.
Author: Jonathan L Marchini [aut], Chris Heaton [aut], Brian Ripley [aut, cre]
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

Diff between fastICA versions 1.2-5.1 dated 2024-08-21 and 1.2-7 dated 2024-12-11

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Package enmSdmX updated to version 1.2.10 with previous version 1.1.9 dated 2024-11-03

Title: Species Distribution Modeling and Ecological Niche Modeling
Description: Implements species distribution modeling and ecological niche modeling, including: bias correction, spatial cross-validation, model evaluation, raster interpolation, biotic "velocity" (speed and direction of movement of a "mass" represented by a raster), interpolating across a time series of rasters, and use of spatially imprecise records. The heart of the package is a set of "training" functions which automatically optimize model complexity based number of available occurrences. These algorithms include MaxEnt, MaxNet, boosted regression trees/gradient boosting machines, generalized additive models, generalized linear models, natural splines, and random forests. To enhance interoperability with other modeling packages, no new classes are created. The package works with 'PROJ6' geodetic objects and coordinate reference systems.
Author: Adam B. Smith [cre, aut]
Maintainer: Adam B. Smith <adam.smith@mobot.org>

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Package RcppCGAL updated to version 6.0 with previous version 5.6.4 dated 2024-07-04

Title: 'Rcpp' Integration for 'CGAL'
Description: Creates a header only package to link to the 'CGAL' (Computational Geometry Algorithms Library) header files in 'Rcpp'. There are a variety of potential uses for the software such as Hilbert sorting, K-D Tree nearest neighbors, and convex hull algorithms. For more information about how to use the header files, see the 'CGAL' documentation at <https://www.cgal.org>. Currently downloads version 6.0.1 of the 'CGAL' header files.
Author: Eric Dunipace [aut, cre] , Tyler Morgan-Wall [ctb], The CGAL Project [cph]
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>

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Package jsmodule updated to version 1.6.0 with previous version 1.5.9 dated 2024-10-17

Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Hyunki Lee [aut], Changwoo Lim [aut], Jinhwan Kim [aut] , Yoonkyoung Jeon [aut], Jaewoong Heo [aut], Youngsun Park [aut] , Hyungwoo Jo [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package SSHAARP updated to version 2.0.5 with previous version 1.1.0 dated 2021-09-17

Title: Searching Shared HLA Amino Acid Residue Prevalence
Description: Processes amino acid alignments produced by the 'IPD-IMGT/HLA (Immuno Polymorphism-ImMunoGeneTics/Human Leukocyte Antigen) Database' to identify user-defined amino acid residue motifs shared across HLA alleles, HLA alleles, or HLA haplotypes, and calculates frequencies based on HLA allele frequency data. 'SSHAARP' (Searching Shared HLA Amino Acid Residue Prevalence) uses 'Generic Mapping Tools (GMT)' software and the 'GMT' R package to generate global frequency heat maps that illustrate the distribution of each user-defined map around the globe. 'SSHAARP' analyzes the allele frequency data described by Solberg et al. (2008) <doi:10.1016/j.humimm.2008.05.001>, a global set of 497 population samples from 185 published datasets, representing 66,800 individuals total. Users may also specify their own datasets, but file conventions must follow the prebundled Solberg dataset, or the mock haplotype dataset.
Author: Livia Tran [aut, cre], Steven Mack [aut], Josh Bredeweg [ctb], Dale Steinhardt [ctb]
Maintainer: Livia Tran <livia.tran@ucsf.edu>

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Package SBMTrees updated to version 1.2 with previous version 1.1 dated 2024-12-09

Title: Sequential Imputation with Bayesian Trees Mixed-Effects Models for Longitudinal Data
Description: Implements a sequential imputation framework using Bayesian Mixed-Effects Trees ('SBMTrees') for handling missing data in longitudinal studies. The package supports a variety of models, including non-linear relationships and non-normal random effects and residuals, leveraging Dirichlet Process priors for increased flexibility. Key features include handling Missing at Random (MAR) longitudinal data, imputation of both covariates and outcomes, and generating posterior predictive samples for further analysis. The methodology is designed for applications in epidemiology, biostatistics, and other fields requiring robust handling of missing data in longitudinal settings.
Author: Jungang Zou [aut, cre], Liangyuan Hu [aut], Robert McCulloch [ctb], Rodney Sparapani [ctb], Charles Spanbauer [ctb]
Maintainer: Jungang Zou <jungang.zou@gmail.com>

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Tue, 10 Dec 2024

Package visOmopResults updated to version 0.5.1 with previous version 0.5.0 dated 2024-11-24

Title: Graphs and Tables for OMOP Results
Description: Provides methods to transform omop_result objects into formatted tables and figures, facilitating the visualization of study results working with the Observational Medical Outcomes Partnership (OMOP) Common Data Model.
Author: Marti Catala [aut] , Nuria Mercade-Besora [aut, cre] , Yuchen Guo [ctb] , Elin Rowlands [ctb] , Edward Burn [ctb]
Maintainer: Nuria Mercade-Besora <nuria.mercadebesora@ndorms.ox.ac.uk>

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Package overtureR updated to version 0.2.4 with previous version 0.2.3 dated 2024-09-04

Title: Load 'Overture' Datasets as 'dbplyr' and 'sf'-Ready Data Frames
Description: An integrated R interface to the 'Overture' API (<https://docs.overturemaps.org/>). Allows R users to return 'Overture' data as 'dbplyr' data frames or materialized 'sf' spatial data frames.
Author: Arthur Gailes [aut, cre, cph]
Maintainer: Arthur Gailes <agailes1@gmail.com>

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Package FedData updated to version 4.2.0 with previous version 4.1.0 dated 2024-11-11

Title: Download Geospatial Data Available from Several Federated Data Sources
Description: Download geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package enables extraction from nine datasets: The National Elevation Dataset digital elevation models (<https://www.usgs.gov/3d-elevation-program> 1 and 1/3 arc-second; USGS); The National Hydrography Dataset (<https://www.usgs.gov/national-hydrography/national-hydrography-dataset>; USGS); The Soil Survey Geographic (SSURGO) database from the National Cooperative Soil Survey (<https://websoilsurvey.sc.egov.usda.gov/>; NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA; the Global Historical Climatology Network (<https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily>; GHCN), coordinated by National Climatic Data Center at NOAA; the Daymet gridded estimates of daily weather parameters for North America, version 4, available from the Oak Ridge [...truncated...]
Author: R. Kyle Bocinsky [aut, cre, cph] , Dylan Beaudette [ctb], Scott Chamberlain [ctb, rev], Jeffrey Hollister [ctb], Julia Gustavsen [rev]
Maintainer: R. Kyle Bocinsky <bocinsky@gmail.com>

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Package cutpointr updated to version 1.2.0 with previous version 1.1.2 dated 2022-04-13

Title: Determine and Evaluate Optimal Cutpoints in Binary Classification Tasks
Description: Estimate cutpoints that optimize a specified metric in binary classification tasks and validate performance using bootstrapping. Some methods for more robust cutpoint estimation are supported, e.g. a parametric method assuming normal distributions, bootstrapped cutpoints, and smoothing of the metric values per cutpoint using Generalized Additive Models. Various plotting functions are included. For an overview of the package see Thiele and Hirschfeld (2021) <doi:10.18637/jss.v098.i11>.
Author: Christian Thiele [cre, aut]
Maintainer: Christian Thiele <c.thiele@gmx-topmail.de>

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Package WeightedCluster updated to version 1.8-1 with previous version 1.8-0 dated 2024-10-02

Title: Clustering of Weighted Data
Description: Clusters state sequences and weighted data. It provides an optimized weighted PAM algorithm as well as functions for aggregating replicated cases, computing cluster quality measures for a range of clustering solutions and plotting (fuzzy) clusters of state sequences. Parametric bootstraps methods to validate typology of sequences are also provided. Finally, it provides a fuzzy and crisp CLARA algorithm to cluster large database with sequence analysis.
Author: Matthias Studer [aut, cre]
Maintainer: Matthias Studer <matthias.studer@unige.ch>

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Package fsn updated to version 0.4 with previous version 0.2 dated 2022-03-09

Title: Rosenthal's Fail Safe Number and Related Functions
Description: Estimation of Rosenthal's fail safe number including confidence intervals. The relevant papers are the following. Konstantinos C. Fragkos, Michail Tsagris and Christos C. Frangos (2014). "Publication Bias in Meta-Analysis: Confidence Intervals for Rosenthal's Fail-Safe Number". International Scholarly Research Notices, Volume 2014. <doi:10.1155/2014/825383>. Konstantinos C. Fragkos, Michail Tsagris and Christos C. Frangos (2017). "Exploring the distribution for the estimator of Rosenthal's fail-safe number of unpublished studies in meta-analysis". Communications in Statistics-Theory and Methods, 46(11):5672--5684. <doi:10.1080/03610926.2015.1109664>.
Author: Michail Tsagris [aut, cre], Constantinos Frangos [aut], Christos Frangos [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package manymome.table updated to version 0.4.0 with previous version 0.3.0 dated 2024-03-04

Title: Publication-Ready Tables for 'manymome' Results
Description: Converts results from the 'manymome' package, presented in Cheung and Cheung (2023) <doi:10.3758/s13428-023-02224-z>, to publication-ready tables.
Author: Shu Fai Cheung [aut, cre] , Sing-Hang Cheung [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package tesselle updated to version 1.5.0 with previous version 1.4.0 dated 2023-11-30

Title: Easily Install and Load 'tesselle' Packages
Description: Easy install and load key packages from the 'tesselle' suite in a single step. The 'tesselle' suite is a collection of packages for research and teaching in archaeology. These packages focus on quantitative analysis methods developed for archaeology. The 'tesselle' packages are designed to work seamlessly together and to complement general-purpose and other specialized statistical packages. These packages can be used to explore and analyze common data types in archaeology: count data, compositional data and chronological data. Learn more about 'tesselle' at <https://www.tesselle.org>.
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [ctb] , Universite Bordeaux Montaigne [fnd], CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package PSinference updated to version 0.2.2 with previous version 0.2.1 dated 2024-09-19

Title: Inference for Released Plug-in Sampling Single Synthetic Dataset
Description: Considering the singly imputed synthetic data generated via plug-in sampling under the multivariate normal model, draws inference procedures including the generalized variance, the sphericity test, the test for independence between two subsets of variables, and the test for the regression of one set of variables on the other. For more details see Klein et al. (2021) <doi:10.1007/s13571-019-00215-9>.
Author: Ricardo Moura [aut, cre, cph] , Mina Norouzirad [aut] , Vitor Augusto [aut] , Miguel Fonseca [ctb] , FCT, I.P. [fnd] )
Maintainer: Ricardo Moura <rp.moura@fct.unl.pt>

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Package glmm.hp updated to version 0.1-7 with previous version 0.1-6 dated 2024-10-26

Title: Hierarchical Partitioning of Marginal R2 for Generalized Mixed-Effect Models
Description: Conducts hierarchical partitioning to calculate individual contributions of each predictor (fixed effects) towards marginal R2 for generalized linear mixed-effect model (including lm, glm and glmm) based on output of r.squaredGLMM() in 'MuMIn', applying the algorithm of Lai J.,Zou Y., Zhang S.,Zhang X.,Mao L.(2022)glmm.hp: an R package for computing individual effect of predictors in generalized linear mixed models.Journal of Plant Ecology,15(6)1302-1307<doi:10.1093/jpe/rtac096>.
Author: Jiangshan Lai [aut, cre] , Kim Nimon [aut]
Maintainer: Jiangshan Lai <lai@njfu.edu.cn>

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Package christmas updated to version 1.4.0 with previous version 1.3.0 dated 2023-12-06

Title: Generation of Different Animated Christmas Cards
Description: Generation of different Christmas cards, most of them being animated. Most of the cards can be generated in three languages (English, Catalan and Spanish). The collection started in 2009.
Author: Jose Barrera-Gomez [aut, cre]
Maintainer: Jose Barrera-Gomez <jose.barrera@uab.cat>

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Package parabar updated to version 1.3.0 with previous version 1.2.1 dated 2024-10-17

Title: Progress Bar for Parallel Tasks
Description: A simple interface in the form of R6 classes for executing tasks in parallel, tracking their progress, and displaying accurate progress bars.
Author: Mihai Constantin [aut, cre]
Maintainer: Mihai Constantin <mihai@mihaiconstantin.com>

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Package cheapr updated to version 0.9.92 with previous version 0.9.91 dated 2024-11-11

Title: Simple Functions to Save Time and Memory
Description: Fast and memory-efficient (or 'cheap') tools to facilitate efficient programming, saving time and memory. It aims to provide 'cheaper' alternatives to common base R functions, as well as some additional functions.
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

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Package kairos updated to version 2.2.0 with previous version 2.1.1 dated 2024-07-26

Title: Analysis of Chronological Patterns from Archaeological Count Data
Description: A toolkit for absolute and relative dating and analysis of chronological patterns. This package includes functions for chronological modeling and dating of archaeological assemblages from count data. It provides methods for matrix seriation. It also allows to compute time point estimates and density estimates of the occupation and duration of an archaeological site.
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [ctb] , Ben Marwick [ctb] , Anne Philippe [ctb] , Universite Bordeaux Montaigne [fnd], CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package utsf updated to version 1.1.0 with previous version 1.0.0 dated 2024-10-14

Title: Univariate Time Series Forecasting
Description: An engine for univariate time series forecasting using different regression models in an autoregressive way. The engine provides an uniform interface for applying the different models. Furthermore, it is extensible so that users can easily apply their own regression models to univariate time series forecasting and benefit from all the features of the engine, such as preprocessings or estimation of forecast accuracy.
Author: Maria Pilar Frias-Bustamante [aut] , Francisco Martinez [aut, cre, cph]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

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Package testthat updated to version 3.2.2 with previous version 3.2.1.1 dated 2024-04-13

Title: Unit Testing for R
Description: Software testing is important, but, in part because it is frustrating and boring, many of us avoid it. 'testthat' is a testing framework for R that is easy to learn and use, and integrates with your existing 'workflow'.
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd], R Core team [ctb] )
Maintainer: Hadley Wickham <hadley@posit.co>

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Package smof updated to version 1.2.2 with previous version 1.2.1 dated 2024-10-30

Title: Scoring Methodology for Ordered Factors
Description: Starting from a given object representing a fitted model (within a certain set of model classes) whose (non-)linear predictor includes some ordered factor(s) among the explanatory variables, a new model is constructed and fitted where each named factor is replaced by a single numeric score, suitably chosen so that the new variable produces a fit comparable with the standard methodology based on a set of polynomial contrasts. Two variants of the present approach have been developed, one in each of the next references: Azzalini (2023) <doi:10.1002/sta4.624>, (2024) <doi:10.48550/arXiv.2406.15933>.
Author: Adelchi Azzalini [aut, cre]
Maintainer: Adelchi Azzalini <adelchi.azzalini@unipd.it>

Diff between smof versions 1.2.1 dated 2024-10-30 and 1.2.2 dated 2024-12-10

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Package optimx updated to version 2024-12.2 with previous version 2023-10.21 dated 2023-10-24

Title: Expanded Replacement and Extension of the 'optim' Function
Description: Provides a replacement and extension of the optim() function to call to several function minimization codes in R in a single statement. These methods handle smooth, possibly box constrained functions of several or many parameters. Note that function 'optimr()' was prepared to simplify the incorporation of minimization codes going forward. Also implements some utility codes and some extra solvers, including safeguarded Newton methods. Many methods previously separate are now included here. This is the version for CRAN.
Author: John C Nash [aut, cre], Ravi Varadhan [aut], Hans W Borchers [ctb], Gabor Grothendieck [ctb]
Maintainer: John C Nash <profjcnash@gmail.com>

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Package dimensio updated to version 0.10.1 with previous version 0.10.0 dated 2024-11-08

Title: Multivariate Data Analysis
Description: Simple Principal Components Analysis (PCA) and (Multiple) Correspondence Analysis (CA) based on the Singular Value Decomposition (SVD). This package provides S4 classes and methods to compute, extract, summarize and visualize results of multivariate data analysis. It also includes methods for partial bootstrap validation described in Greenacre (1984, ISBN: 978-0-12-299050-2) and Lebart et al. (2006, ISBN: 978-2-10-049616-7).
Author: Nicolas Frerebeau [aut, cre] , Jean-Baptiste Fourvel [ctb] , Brice Lebrun [ctb] , Universite Bordeaux Montaigne [fnd], CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package dcorVS updated to version 1.1 with previous version 1.0 dated 2023-10-18

Title: Variable Selection Algorithms Using the Distance Correlation
Description: The 'FBED' and 'mmpc' variable selection algorithms have been implemented using the distance correlation. The references include: Tsamardinos I., Aliferis C. F. and Statnikov A. (2003). "Time and sample efficient discovery of Markovblankets and direct causal relations". In Proceedings of the ninth ACM SIGKDD international Conference. <doi:10.1145/956750.956838>. Borboudakis G. and Tsamardinos I. (2019). "Forward-backward selection with early dropping". Journal of Machine Learning Research, 20(8): 1--39. <doi:10.48550/arXiv.1705.10770>. Huo X. and Szekely G.J. (2016). "Fast computing for distance covariance". Technometrics, 58(4): 435--447. <doi:10.1080/00401706.2015.1054435>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package aion updated to version 1.3.0 with previous version 1.2.0 dated 2024-11-13

Title: Archaeological Time Series
Description: A toolkit for archaeological time series and time intervals. This package provides a system of classes and methods to represent and work with archaeological time series and time intervals. Dates are represented as "rata die" and can be converted to (virtually) any calendar defined by Reingold and Dershowitz (2018) <doi:10.1017/9781107415058>. This packages offers a simple API that can be used by other specialized packages.
Author: Nicolas Frerebeau [aut, cre] , Joe Roe [aut] , Brice Lebrun [ctb] , Universite Bordeaux Montaigne [fnd], CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package gemini.R updated to version 0.6.1 with previous version 0.5.2 dated 2024-08-26

Title: Interface for 'Google Gemini' API
Description: Provides a comprehensive interface for Google Gemini API, enabling users to access and utilize Gemini Large Language Model (LLM) functionalities directly from R. This package facilitates seamless integration with Google Gemini, allowing for advanced language processing, text generation, and other AI-driven capabilities within the R environment. For more information, please visit <https://ai.google.dev/docs/gemini_api_overview>.
Author: Jinhwan Kim [aut, cre, cph] , Maciej Nasinski [ctb]
Maintainer: Jinhwan Kim <hwanistic@gmail.com>

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Package CICI updated to version 0.9.4 with previous version 0.9.3 dated 2024-11-01

Title: Causal Inference with Continuous (Multiple Time Point) Interventions
Description: Estimation of counterfactual outcomes for multiple values of continuous interventions at different time points, and plotting of causal dose-response curves. Details are given in Schomaker, McIlleron, Denti, Diaz (2024) <doi:10.48550/arXiv.2305.06645>.
Author: Michael Schomaker [aut, cre]
Maintainer: Michael Schomaker <michael.schomaker@stat.uni-muenchen.de>

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Package stringdist updated to version 0.9.14 with previous version 0.9.12 dated 2023-11-28

Title: Approximate String Matching, Fuzzy Text Search, and String Distance Functions
Description: Implements an approximate string matching version of R's native 'match' function. Also offers fuzzy text search based on various string distance measures. Can calculate various string distances based on edits (Damerau-Levenshtein, Hamming, Levenshtein, optimal sting alignment), qgrams (q- gram, cosine, jaccard distance) or heuristic metrics (Jaro, Jaro-Winkler). An implementation of soundex is provided as well. Distances can be computed between character vectors while taking proper care of encoding or between integer vectors representing generic sequences. This package is built for speed and runs in parallel by using 'openMP'. An API for C or C++ is exposed as well. Reference: MPJ van der Loo (2014) <doi:10.32614/RJ-2014-011>.
Author: Mark van der Loo [aut, cre] , Jan van der Laan [ctb], R Core Team [ctb], Nick Logan [ctb], Chris Muir [ctb], Johannes Gruber [ctb], Brian Ripley [ctb]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package np updated to version 0.60-18 with previous version 0.60-17 dated 2023-03-13

Title: Nonparametric Kernel Smoothing Methods for Mixed Data Types
Description: Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca/>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca/>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://sharcnet.ca/>). We would also like to acknowledge the contributions of the GNU GSL authors. In particular, we adapt the GNU GSL B-spline routine gsl_bspline.c adding automated support for quantile knots (in addition to uniform knots), providing missing functionality for derivatives, and for extending the splines beyond their endpoints.
Author: Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

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Package fitzRoy updated to version 1.6.0 with previous version 1.5.0 dated 2024-07-30

Title: Easily Scrape and Process AFL Data
Description: An easy package for scraping and processing Australia Rules Football (AFL) data. 'fitzRoy' provides a range of functions for accessing publicly available data from 'AFL Tables' <https://afltables.com/afl/afl_index.html>, 'Footy Wire' <https://www.footywire.com> and 'The Squiggle' <https://squiggle.com.au>. Further functions allow for easy processing, cleaning and transformation of this data into formats that can be used for analysis.
Author: James Day [cre, aut], Robert Nguyen [aut], Matthew Erbs [ctb], Oscar Lane [aut], Jason Zivkovic [ctb], Jacob Holden [ctb]
Maintainer: James Day <jamesthomasday@gmail.com>

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Package charlesschwabapi updated to version 1.0.4 with previous version 1.0.3 dated 2024-09-14

Title: Wrapper Functions Around 'Charles Schwab Individual Trader API'
Description: For those wishing to interact with the 'Charles Schwab Individual Trader API' (<https://developer.schwab.com/products/trader-api--individual>) with R in a simplified manner, this package offers wrapper functions around authentication and the available API calls to streamline the process.
Author: Nick Bultman [aut, cre, cph]
Maintainer: Nick Bultman <njbultman74@gmail.com>

Diff between charlesschwabapi versions 1.0.3 dated 2024-09-14 and 1.0.4 dated 2024-12-10

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Package BioVizSeq updated to version 0.1.2 with previous version 0.1.1 dated 2024-11-27

Title: Visualizing the Elements Within Bio-Sequences
Description: Visualizing the types and distribution of elements within bio-sequences. At the same time, We have developed a geom layer, geom_rrect(), that can generate rounded rectangles. No external references are used in the development of this package.
Author: Shiqi Zhao [aut, cre, cph]
Maintainer: Shiqi Zhao <zhaosq89@163.com>

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Package asremlPlus updated to version 4.4.43 with previous version 4.4.40 dated 2024-10-27

Title: Augments 'ASReml-R' in Fitting Mixed Models and Packages Generally in Exploring Prediction Differences
Description: Assists in automating the selection of terms to include in mixed models when 'asreml' is used to fit the models. Procedures are available for choosing models that conform to the hierarchy or marginality principle, for fitting and choosing between two-dimensional spatial models using correlation, natural cubic smoothing spline and P-spline models. A history of the fitting of a sequence of models is kept in a data frame. Also used to compute functions and contrasts of, to investigate differences between and to plot predictions obtained using any model fitting function. The content falls into the following natural groupings: (i) Data, (ii) Model modification functions, (iii) Model selection and description functions, (iv) Model diagnostics and simulation functions, (v) Prediction production and presentation functions, (vi) Response transformation functions, (vii) Object manipulation functions, and (viii) Miscellaneous functions (for further details see 'asremlPlus-package' in help). The [...truncated...]
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

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Package effectsize updated to version 1.0.0 with previous version 0.8.9 dated 2024-07-03

Title: Indices of Effect Size
Description: Provide utilities to work with indices of effect size for a wide variety of models and hypothesis tests (see list of supported models using the function 'insight::supported_models()'), allowing computation of and conversion between indices such as Cohen's d, r, odds, etc. References: Ben-Shachar et al. (2020) <doi:10.21105/joss.02815>.
Author: Mattan S. Ben-Shachar [aut, cre] , Dominique Makowski [aut] , Daniel Luedecke [aut] , Indrajeet Patil [aut] , Brenton M. Wiernik [aut] , Remi Theriault [aut] , Ken Kelley [ctb], David Stanley [ctb], Aaron Caldwell [ctb] , Jessica Burnett [rev] , Johan [...truncated...]
Maintainer: Mattan S. Ben-Shachar <mattansb@msbstats.info>

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Package DDIwR updated to version 0.19 with previous version 0.18 dated 2024-01-08

Title: DDI with R
Description: Useful functions for various DDI (Data Documentation Initiative) related inputs and outputs. Converts data files to and from DDI, SPSS, Stata, SAS, R and Excel, including user declared missing values.
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

Diff between DDIwR versions 0.18 dated 2024-01-08 and 0.19 dated 2024-12-10

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Package upndown updated to version 0.2.0 with previous version 0.1.0 dated 2023-06-07

Title: Utilities and Design Aids for Up-and-Down Dose-Finding Studies
Description: Up-and-Down is the most popular design approach for dose-finding, but has been severely under-served by the statistical computing community. This is the first package to address Up-and-Down's needs. For a recent methodological tutorial on Up-and-Down, see Oron et al. (2022) <doi:10.1097/ALN.0000000000004282>.
Author: Assaf P. Oron [cre, aut]
Maintainer: Assaf P. Oron <assaf.oron@gmail.com>

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Mon, 09 Dec 2024

Package ShapePattern updated to version 3.1.0 with previous version 3.0.1 dated 2023-08-22

Title: Tools for Analyzing Shapes and Patterns
Description: This is an evolving and growing collection of tools for the quantification, assessment, and comparison of shape and pattern. This collection provides tools for: (1) the spatial decomposition of planar shapes using 'ShrinkShape' to incrementally shrink shapes to extinction while computing area, perimeter, and number of parts at each iteration of shrinking; the spectra of results are returned in graphic and tabular formats (Remmel 2015) <doi:10.1111/cag.12222>, (2) simulating landscape patterns, (3) provision of tools for estimating composition and configuration parameters from a categorical (binary) landscape map (grid) and then simulates a selected number of statistically similar landscapes. Class-focused pattern metrics are computed for each simulated map to produce empirical distributions against which statistical comparisons can be made. The code permits the analysis of single maps or pairs of maps (Remmel and Fortin 2013) <doi:10.1007/s10980-013-9905-x>, (4) counting th [...truncated...]
Author: Tarmo K. Remmel [aut, cre] , Marie-Josee Fortin [ctb], Ferenc Csillag [ctb], Sandor Kabos [ctb]
Maintainer: Tarmo K. Remmel <remmelt@yorku.ca>

Diff between ShapePattern versions 3.0.1 dated 2023-08-22 and 3.1.0 dated 2024-12-09

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Package epiR updated to version 2.0.78 with previous version 2.0.77 dated 2024-11-19

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] , Evan Sergeant [aut], Cord Heuer [ctb], Telmo Nunes [ctb], Cord Heuer [ctb], Jonathon Marshall [ctb], Javier Sanchez [ctb], Ron Thornton [ctb], Jeno Reiczigel [ctb], Jim Robison-Cox [ctb], Paola Sebastiani [ctb], Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

Diff between epiR versions 2.0.77 dated 2024-11-19 and 2.0.78 dated 2024-12-09

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Package familial updated to version 1.0.7 with previous version 1.0.6 dated 2024-11-28

Title: Statistical Tests of Familial Hypotheses
Description: Provides functionality for testing familial hypotheses. Supports testing centers belonging to the Huber family. Testing is carried out using the Bayesian bootstrap. One- and two-sample tests are supported, as are directional tests. Methods for visualizing output are provided.
Author: Ryan Thompson [aut, cre]
Maintainer: Ryan Thompson <ryan.thompson-1@uts.edu.au>

Diff between familial versions 1.0.6 dated 2024-11-28 and 1.0.7 dated 2024-12-09

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Package DrugUtilisation updated to version 0.8.0 with previous version 0.7.1 dated 2024-09-06

Title: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model
Description: Summarise patient-level drug utilisation cohorts using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. New users and prevalent users cohorts can be generated and their characteristics, indication and drug use summarised.
Author: Marti Catala [aut, cre] , Mike Du [ctb] , Yuchen Guo [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Xintong Li [ctb] , Marta Alcalde-Herraiz [ctb] , Nuria Mercade-Besora [aut] , Xihang Chen [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package crm12Comb updated to version 0.1.9 with previous version 0.1.8 dated 2024-11-03

Title: Phase I/II CRM Based Drug Combination Design
Description: Implements the adaptive designs for integrated phase I/II trials of drug combinations via continual reassessment method (CRM) to evaluate toxicity and efficacy simultaneously for each enrolled patient cohort based on Bayesian inference. It supports patients assignment guidance in a single trial using current enrolled data, as well as conducting extensive simulation studies to evaluate operating characteristics before the trial starts. It includes various link functions such as empiric, one-parameter logistic, two-parameter logistic, and hyperbolic tangent, as well as considering multiple prior distributions of the parameters like normal distribution, gamma distribution and exponential distribution to accommodate diverse clinical scenarios. Method using Bayesian framework with empiric link function is described in: Wages and Conaway (2014) <doi:10.1002/sim.6097>.
Author: Junying Wang [cre, aut], Song Wu [aut], Jie Yang [aut]
Maintainer: Junying Wang <junying.wang@stonybrook.edu>

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Package AtmChile updated to version 1.0.2 with previous version 1.0.1 dated 2022-08-29

Title: Download Air Quality and Meteorological Information of Chile
Description: Download air quality and meteorological information of Chile from the National Air Quality System (S.I.N.C.A.)<https://sinca.mma.gob.cl/> dependent on the Ministry of the Environment and the Meteorological Directorate of Chile (D.M.C.)<https://www.meteochile.gob.cl/> dependent on the Directorate General of Civil Aeronautics.
Author: Francisco Catalan Meyer [aut, cre] , Manuel Leiva [aut] , Richard Toro [aut]
Maintainer: Francisco Catalan Meyer <francisco.catalan@ug.uchile.cl>

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Package AssocBin updated to version 1.0-2 with previous version 1.0-0 dated 2024-06-28

Title: Measuring Association with Recursive Binning
Description: An iterative implementation of a recursive binary partitioning algorithm to measure pairwise dependence with a modular design that allows user specification of the splitting logic and stop criteria. Helper functions provide suggested versions of both and support visualization and the computation of summary statistics on final binnings. For a complete description of the functionality and algorithm, see Salahub and Oldford (2023) <doi:10.48550/arXiv.2311.08561>.
Author: Chris Salahub [aut, cre]
Maintainer: Chris Salahub <chris.salahub@uwaterloo.ca>

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Package caret updated to version 7.0-1 with previous version 6.0-94 dated 2023-03-21

Title: Classification and Regression Training
Description: Misc functions for training and plotting classification and regression models.
Author: Max Kuhn [aut, cre] , Jed Wing [ctb], Steve Weston [ctb], Andre Williams [ctb], Chris Keefer [ctb], Allan Engelhardt [ctb], Tony Cooper [ctb], Zachary Mayer [ctb], Brenton Kenkel [ctb], R Core Team [ctb], Michael Benesty [ctb], Reynald Lescarbeau [ct [...truncated...]
Maintainer: Max Kuhn <mxkuhn@gmail.com>

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Package glmmrBase updated to version 0.11.1 with previous version 0.10.5 dated 2024-09-07

Title: Generalised Linear Mixed Models in R
Description: Specification, analysis, simulation, and fitting of generalised linear mixed models. Includes Markov Chain Monte Carlo Maximum likelihood and Laplace approximation model fitting for a range of models, non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily, robust and bias-corrected standard error estimation, power calculation, data simulation, and more. See <https://samuel-watson.github.io/glmmr-web/> for a detailed manual.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>

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Package robmed updated to version 1.2.0 with previous version 1.1.0 dated 2024-11-03

Title: (Robust) Mediation Analysis
Description: Perform mediation analysis via the fast-and-robust bootstrap test ROBMED (Alfons, Ates & Groenen, 2022a; <doi:10.1177/1094428121999096>), as well as various other methods. Details on the implementation and code examples can be found in Alfons, Ates, and Groenen (2022b) <doi:10.18637/jss.v103.i13>.
Author: Andreas Alfons [aut, cre] , Nufer Y. Ates [ctb]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>

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Package parsedate updated to version 1.3.2 with previous version 1.3.1 dated 2022-10-27

Title: Recognize and Parse Dates in Various Formats, Including All ISO 8601 Formats
Description: Parse dates automatically, without the need of specifying a format. Currently it includes the git date parser. It can also recognize and parse all ISO 8601 formats.
Author: Gabor Csardi [aut, cre], Linus Torvalds [aut]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package move2 updated to version 0.4.0 with previous version 0.3.0 dated 2024-05-22

Title: Processing and Analysing Animal Trajectories
Description: Tools to handle, manipulate and explore trajectory data, with an emphasis on data from tracked animals. The package is designed to support large studies with several million location records and keep track of units where possible. Data import directly from 'movebank' <https://www.movebank.org/cms/movebank-main> and files is facilitated.
Author: Bart Kranstauber [aut, cre] , Kamran Safi [aut] , Anne K. Scharf [aut]
Maintainer: Bart Kranstauber <b.kranstauber@uva.nl>

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Package greybox updated to version 2.0.3 with previous version 2.0.2 dated 2024-08-27

Title: Toolbox for Model Building and Forecasting
Description: Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.
Author: Ivan Svetunkov [aut, cre] , Yves R. Sagaert [ctb]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>

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Package arkhe updated to version 1.9.0 with previous version 1.8.0 dated 2024-11-07

Title: Tools for Cleaning Rectangular Data
Description: A dependency-free collection of simple functions for cleaning rectangular data. This package allows to detect, count and replace values or discard rows/columns using a predicate function. In addition, it provides tools to check conditions and return informative error messages.
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [ctb] , Universite Bordeaux Montaigne [fnd], CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package REDCapTidieR updated to version 1.2.1 with previous version 1.2.0 dated 2024-10-23

Title: Extract 'REDCap' Databases into Tidy 'Tibble's
Description: Convert 'REDCap' exports into tidy tables for easy handling of 'REDCap' repeat instruments and event arms.
Author: Richard Hanna [aut, cre] , Stephan Kadauke [aut] , Ezra Porter [aut]
Maintainer: Richard Hanna <richardshanna91@gmail.com>

Diff between REDCapTidieR versions 1.2.0 dated 2024-10-23 and 1.2.1 dated 2024-12-09

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Package kappaGold updated to version 0.4.0 with previous version 0.3.2 dated 2024-09-30

Title: Agreement of Nominal Scale Raters (with a Gold Standard)
Description: Estimate agreement of a group of raters with a gold standard rating on a nominal scale. For a single gold standard rater the average pairwise agreement of raters with this gold standard is provided. For a group of (gold standard) raters the approach of S. Vanbelle, A. Albert (2009) <doi:10.1007/s11336-009-9116-1> is implemented. Bias and standard error are estimated via delete-1 jackknife.
Author: Matthias Kuhn [aut, cre] , Jonas Breidenstein [aut]
Maintainer: Matthias Kuhn <matthias.kuhn@tu-dresden.de>

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Package worldbank updated to version 0.4.0 with previous version 0.3.0 dated 2024-08-26

Title: Client for World Banks's 'Indicators' and 'Poverty and Inequality Platform (PIP)' APIs
Description: Download and search data from the 'World Bank Indicators API', which provides access to nearly 16,000 time series indicators. See <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation> for further details about the API.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package PakPC updated to version 0.3.0 with previous version 0.2.0 dated 2024-11-11

Title: 'shiny' App to Analyze Pakistan's Population Census Data
Description: Provides tools for analyzing Pakistan's Population Censuses data via the 'PakPC2023' and 'PakPC2017' R packages. Designed for researchers, policymakers, and professionals, the app enables in-depth numerical and graphical analysis, including detailed cross-tabulations and insights. With diverse statistical models and visualization options, it supports informed decision-making in social and economic policy. This tool enhances users' ability to explore and interpret census data, providing valuable insights for effective planning and analysis across various fields.
Author: Muhammad Yaseen [aut, cre, cph] , Muhammad Arfan Dilber [ctb], Zahid Asghar [ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Package opticskxi updated to version 1.1.0 with previous version 0.1 dated 2019-07-18

Title: OPTICS K-Xi Density-Based Clustering
Description: Density-based clustering methods are well adapted to the clustering of high-dimensional data and enable the discovery of core groups of various shapes despite large amounts of noise. This package provides a novel density-based cluster extraction method, OPTICS k-Xi, and a framework to compare k-Xi models using distance-based metrics to investigate datasets with unknown number of clusters. The vignette first introduces density-based algorithms with simulated datasets, then presents and evaluates the k-Xi cluster extraction method. Finally, the models comparison framework is described and experimented on 2 genetic datasets to identify groups and their discriminating features. The k-Xi algorithm is a novel OPTICS cluster extraction method that specifies directly the number of clusters and does not require fine-tuning of the steepness parameter as the OPTICS Xi method. Combined with a framework that compares models with varying parameters, the OPTICS k-Xi method can identify groups in nois [...truncated...]
Author: Thomas Charlon [aut, cre]
Maintainer: Thomas Charlon <charlon@protonmail.com>

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Package rts2 updated to version 0.7.7 with previous version 0.7.6 dated 2024-09-06

Title: Real-Time Disease Surveillance
Description: Supports modelling real-time case data to facilitate the real-time surveillance of infectious diseases and other point phenomena. The package provides automated computational grid generation over an area of interest with methods to map covariates between geographies, model fitting including spatially aggregated case counts, and predictions and visualisation. Both Bayesian and maximum likelihood methods are provided. Log-Gaussian Cox Processes are described by Diggle et al. (2013) <doi:10.1214/13-STS441> and we provide both the low-rank approximation for Gaussian processes described by Solin and Särkkä (2020) <doi:10.1007/s11222-019-09886-w> and Riutort-Mayol et al (2023) <doi:10.1007/s11222-022-10167-2> and the nearest neighbour Gaussian process described by Datta et al (2016) <doi:10.1080/01621459.2015.1044091>. 'cmdstanr' can be downloaded at <https://mc-stan.org/cmdstanr/>.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <s.i.watson@bham.ac.uk>

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Package PerformanceAnalytics updated to version 2.0.8 with previous version 2.0.4 dated 2020-02-06

Title: Econometric Tools for Performance and Risk Analysis
Description: Collection of econometric functions for performance and risk analysis. In addition to standard risk and performance metrics, this package aims to aid practitioners and researchers in utilizing the latest research in analysis of non-normal return streams. In general, it is most tested on return (rather than price) data on a regular scale, but most functions will work with irregular return data as well, and increasing numbers of functions will work with P&L or price data where possible.
Author: Brian G. Peterson [cre, aut, cph], Peter Carl [aut, cph], Kris Boudt [ctb, cph], Ross Bennett [ctb], Joshua Ulrich [ctb], Eric Zivot [ctb], Dries Cornilly [ctb], Eric Hung [ctb], Matthieu Lestel [ctb], Kyle Balkissoon [ctb], Diethelm Wuertz [ctb], An [...truncated...]
Maintainer: Brian G. Peterson <brian@braverock.com>

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 PerformanceAnalytics-2.0.8/PerformanceAnalytics/NAMESPACE                                                            |   23 
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 PerformanceAnalytics-2.0.8/PerformanceAnalytics/R/FamaBeta.R                                                         |    2 
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 PerformanceAnalytics-2.0.8/PerformanceAnalytics/R/HerfindahlIndex.R                                                  |    2 
 PerformanceAnalytics-2.0.8/PerformanceAnalytics/R/HurstIndex.R                                                       |    2 
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 PerformanceAnalytics-2.0.8/PerformanceAnalytics/R/NetSelectivity.R                                                   |    2 
 PerformanceAnalytics-2.0.8/PerformanceAnalytics/R/Omega.R                                                            |   47 
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 PerformanceAnalytics-2.0.8/PerformanceAnalytics/R/OmegaSharpeRatio.R                                                 |    2 
 PerformanceAnalytics-2.0.8/PerformanceAnalytics/R/PainIndex.R                                                        |    2 
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Package CopernicusDEM updated to version 1.0.5 with previous version 1.0.4 dated 2024-08-17

Title: Copernicus Digital Elevation Models
Description: Copernicus Digital Elevation Model datasets (DEM) of 90 and 30 meters resolution using the 'awscli' command line tool. The Copernicus (DEM) is included in the Registry of Open Data on 'AWS (Amazon Web Services)' and represents the surface of the Earth including buildings, infrastructure and vegetation.
Author: Lampros Mouselimis [aut, cre]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package ClusterVAR updated to version 0.0.8 with previous version 0.0.7 dated 2024-07-10

Title: Fitting Latent Class Vector-Autoregressive (VAR) Models
Description: Estimates latent class vector-autoregressive models via EM algorithm on time-series data for model-based clustering and classification. Includes model selection criteria for selecting the number of lags and clusters.
Author: Anja Ernst [aut, cre], Jonas Haslbeck [aut]
Maintainer: Anja Ernst <a.f.ernst@rug.nl>

Diff between ClusterVAR versions 0.0.7 dated 2024-07-10 and 0.0.8 dated 2024-12-09

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Package qMRI updated to version 1.2.7.8 with previous version 1.2.7.6 dated 2024-05-22

Title: Methods for Quantitative Magnetic Resonance Imaging ('qMRI')
Description: Implementation of methods for estimation of quantitative maps from Multi-Parameter Mapping (MPM) acquisitions (Weiskopf et al. (2013) <doi:10.3389/fnins.2013.00095>) and analysis of Inversion Recovery MRI data. Usage of the package is described in Polzehl and Tabelow (2023), "Magnetic Resonance Brain Imaging", 2nd Edition, Chapter 6 and 7, Springer, Use R! Series. <doi:10.1007/978-3-031-38949-8>. J. Polzehl and K. Tabelow (2023), "Magnetic Resonance Brain Imaging - Modeling and Data Analysis Using R: Code and Data." <doi:10.20347/WIAS.DATA.6> provides extensive example code and data.
Author: Joerg Polzehl [aut], Karsten Tabelow [aut, cre], WIAS Berlin [cph, fnd]
Maintainer: Karsten Tabelow <karsten.tabelow@wias-berlin.de>

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Package mssearchr updated to version 0.2.0 with previous version 0.1.1 dated 2024-06-25

Title: Library Search Against Electron Ionization Mass Spectral Databases
Description: Perform library searches against electron ionization mass spectral databases using either the API provided by 'MS Search' software (<https://chemdata.nist.gov/dokuwiki/doku.php?id=chemdata:nistlibs>) or custom implementations of the Identity and Similarity algorithms.
Author: Andrey Samokhin [aut, cre, cph]
Maintainer: Andrey Samokhin <andrey.s.samokhin@gmail.com>

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Package network updated to version 1.19.0 with previous version 1.18.2 dated 2023-12-05

Title: Classes for Relational Data
Description: Tools to create and modify network objects. The network class can represent a range of relational data types, and supports arbitrary vertex/edge/graph attributes.
Author: Carter T. Butts [aut, cre], David Hunter [ctb], Mark Handcock [ctb], Skye Bender-deMoll [ctb], Jeffrey Horner [ctb], Li Wang [ctb], Pavel N. Krivitsky [ctb] , Brendan Knapp [ctb] , Michal Bojanowski [ctb] , Chad Klumb [ctb]
Maintainer: Carter T. Butts <buttsc@uci.edu>

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Package BFS updated to version 0.5.12 with previous version 0.5.11 dated 2024-11-27

Title: Get Data from the Swiss Federal Statistical Office
Description: Search and download data from the Swiss Federal Statistical Office (BFS) APIs <https://www.bfs.admin.ch/>.
Author: Felix Luginbuhl [aut, cre, cph] , Janosch Brenzel-Weiss [ctb], Joao Martins [ctb], Philipp Baumann [ctb]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

Diff between BFS versions 0.5.11 dated 2024-11-27 and 0.5.12 dated 2024-12-09

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Package GaussSuppression updated to version 0.9.2 with previous version 0.9.0 dated 2024-09-24

Title: Tabular Data Suppression using Gaussian Elimination
Description: A statistical disclosure control tool to protect tables by suppression using the Gaussian elimination secondary suppression algorithm (Langsrud, 2024) <doi:10.1007/978-3-031-69651-0_6>. A suggestion is to start by working with functions SuppressSmallCounts() and SuppressDominantCells(). These functions use primary suppression functions for the minimum frequency rule and the dominance rule, respectively. Novel functionality for suppression of disclosive cells is also included. General primary suppression functions can be supplied as input to the general working horse function, GaussSuppressionFromData(). Suppressed frequencies can be replaced by synthetic decimal numbers as described in Langsrud (2019) <doi:10.1007/s11222-018-9848-9>.
Author: Oeyvind Langsrud [aut, cre] , Daniel Lupp [aut] , Hege Boevelstad [ctb] , Vidar Norstein Klungre [rev] , Statistics Norway [cph]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

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Package SmallCountRounding updated to version 1.1.0 with previous version 1.0.8 dated 2024-10-22

Title: Small Count Rounding of Tabular Data
Description: A statistical disclosure control tool to protect frequency tables in cases where small values are sensitive. The function PLSrounding() performs small count rounding of necessary inner cells so that all small frequencies of cross-classifications to be published (publishable cells) are rounded. This is equivalent to changing micro data since frequencies of unique combinations are changed. Thus, additivity and consistency are guaranteed. The methodology is described in Langsrud and Heldal (2018) <https://www.researchgate.net/publication/327768398_An_Algorithm_for_Small_Count_Rounding_of_Tabular_Data>.
Author: Oeyvind Langsrud [aut, cre], Johan Heldal [aut]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

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Package neuroimaGene updated to version 0.1.2 with previous version 0.1.1 dated 2024-09-20

Title: Transcriptomic Atlas of Neuroimaging Derived Phenotypes
Description: Contains functions to query and visualize the Neuroimaging features associated with genetically regulated gene expression (GReX). The primary utility, neuroimaGene(), relies on a list of user-defined genes and returns a table of neuroimaging features (NIDPs) associated with each gene. This resource is designed to assist in the interpretation of genome-wide and transcriptome-wide association studies that evaluate brain related traits. Bledsoe (2024) <doi:10.1016/j.ajhg.2024.06.002>. In addition there are several visualization functions that generate summary plots and 2-dimensional visualizations of regional brain measures. Mowinckel (2020).
Author: Xavier Bledsoe [aut, cre] , Eric Gamazon [aut]
Maintainer: Xavier Bledsoe <xavier.bledsoe@vanderbilt.edu>

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Package ggcompare updated to version 0.0.3 with previous version 0.0.2 dated 2024-10-07

Title: Mean Comparison in 'ggplot2'
Description: Add mean comparison annotations to a 'ggplot'. This package provides an easy way to indicate if two or more groups are significantly different in a 'ggplot'. Usually you do not need to specify the test method, you only need to tell stat_compare() whether you want to perform a parametric test or a nonparametric test, and stat_compare() will automatically choose the appropriate test method based on your data. For comparisons between two groups, the p-value is calculated by t-test (parametric) or Wilcoxon rank sum test (nonparametric). For comparisons among more than two groups, the p-value is calculated by One-way ANOVA (parametric) or Kruskal-Wallis test (nonparametric).
Author: Hao Wang [aut, cre]
Maintainer: Hao Wang <wanghao8772@gmail.com>

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Package DiscreteGapStatistic updated to version 1.0.0 with previous version 0.1.0 dated 2024-10-25

Title: An Extension of the Gap Statistic for Ordinal/Categorical Data
Description: The gap statistic approach is extended to estimate the number of clusters for categorical response format data. This approach and accompanying software is designed to be used with the output of any clustering algorithm and with distances specifically designed for categorical (i.e. multiple choice) or ordinal survey response data.
Author: Jeffrey Miecznikowski [aut], Eduardo Cortes [aut, cre]
Maintainer: Eduardo Cortes <ecortesg@buffalo.edu>

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Sun, 08 Dec 2024

Package flashr updated to version 0.2.0 with previous version 0.1.2 dated 2024-03-15

Title: Create Flashcards of Terms and Definitions
Description: Provides functions for creating flashcard decks of terms and definitions. This package creates HTML slides using 'revealjs' that can be viewed in the 'RStudio' viewer or a web browser. Users can create flashcards from either existing built-in decks or create their own from CSV files or vectors of function names.
Author: Jeffrey R. Stevens [aut, cre, cph]
Maintainer: Jeffrey R. Stevens <jeffrey.r.stevens@protonmail.com>

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Package tidyllm updated to version 0.3.0 with previous version 0.2.0 dated 2024-11-07

Title: Tidy Integration of Large Language Models
Description: A tidy interface for integrating large language model (LLM) APIs such as 'Claude', 'Openai', 'Groq','Mistral' and local models via 'Ollama' into R workflows. The package supports text and media-based interactions, interactive message history, batch request APIs, and a tidy, pipeline-oriented interface for streamlined integration into data workflows. Web services are available at <https://www.anthropic.com>, <https://openai.com>, <https://groq.com>, <https://mistral.ai/> and <https://ollama.com>.
Author: Eduard Bruell [aut, cre], Jia Zhang [ctb]
Maintainer: Eduard Bruell <eduard.bruell@zew.de>

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Package shinyCox updated to version 1.1.2 with previous version 1.1.1 dated 2024-10-06

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 sampcompR updated to version 0.2.6 with previous version 0.2.4 dated 2024-11-10

Title: Comparing and Visualizing Differences Between Surveys
Description: Easily analyze and visualize differences between samples (e.g., benchmark comparisons, nonresponse comparisons in surveys) on three levels. The comparisons can be univariate, bivariate or multivariate. On univariate level the variables of interest of a survey and a comparison survey (i.e. benchmark) are compared, by calculating one of several difference measures (e.g., relative difference in mean), and an average difference between the surveys. On bivariate level a function can calculate significant differences in correlations for the surveys. And on multivariate levels a function can calculate significant differences in model coefficients between the surveys of comparison. All of those differences can be easily plotted and outputted as a table. For more detailed information on the methods and example use see Rohr, B., Silber, H., & Felderer, B. (2024). Comparing the Accuracy of Univariate, Bivariate, and Multivariate Estimates across Probability and Nonprobability Surveys with Po [...truncated...]
Author: Bjoern Rohr [aut, cre, cph], Barbara Felderer [aut]
Maintainer: Bjoern Rohr <bjoern.rohr@gesis.org>

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Package lessR updated to version 4.3.9 with previous version 4.3.8 dated 2024-10-07

Title: Less Code, More Results
Description: Each function replaces multiple standard R functions. For example, two function calls, Read() and CountAll(), generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for summary statistics via pivot tables, a comprehensive regression analysis, ANOVA and t-test, visualizations including the Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, time series with aggregation and forecasting, color themes, and Trellis graphics. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, generation and rendering of regression instructions for interpretative output, and interactive visualizations.
Author: David W. Gerbing [aut, cre]
Maintainer: David W. Gerbing <gerbing@pdx.edu>

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Package bolasso updated to version 0.3.0 with previous version 0.2.0 dated 2022-05-10

Title: Model Consistent Lasso Estimation Through the Bootstrap
Description: Implements the bolasso algorithm for consistent variable selection and estimation accuracy. Includes support for many parallel backends via the future package. For details see: Bach (2008), 'Bolasso: model consistent Lasso estimation through the bootstrap', <doi:10.48550/arXiv.0804.1302>.
Author: Daniel Molitor [aut, cre]
Maintainer: Daniel Molitor <molitdj97@gmail.com>

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Package pinp updated to version 0.0.11 with previous version 0.0.10 dated 2020-10-01

Title: 'pinp' is not 'PNAS'
Description: A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Sciences of the United States of America' ('PNAS') 'LaTeX' style, and adapted for use with 'markdown' and 'pandoc'.
Author: Dirk Eddelbuettel [aut, cre] , James Joseph Balamuta [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package IPEDSuploadables updated to version 2.10.0 with previous version 2.9.0 dated 2024-08-29

Title: Transforms Institutional Data into Text Files for IPEDS Automated Import/Upload
Description: Starting from user-supplied institutional data, these scripts transform, aggregate, and reshape the information to produce key-value pair data files that are able to be uploaded to IPEDS (Integrated Postsecondary Education Data System) through their submission portal <https://surveys.nces.ed.gov/ipeds/>. Starting data specifications can be found in the vignettes. Final files are saved locally to a location of the user's choice. User-friendly readable files can also be produced for purposes of data review and validation.
Author: Alison Lanski [aut, cre], Shiloh Fling [aut]
Maintainer: Alison Lanski <alanski@nd.edu>

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Package SparseChol updated to version 0.3.2 with previous version 0.3.1 dated 2024-01-08

Title: Sparse Matrix C++ Classes Including Sparse Cholesky LDL Decomposition of Symmetric Matrices
Description: 'C++' classes for sparse matrix methods including implementation of sparse LDL decomposition of symmetric matrices and solvers described by Timothy A. Davis (2016) <https://fossies.org/linux/SuiteSparse/LDL/Doc/ldl_userguide.pdf>. Provides a set of C++ classes for basic sparse matrix specification and linear algebra, and a class to implement sparse LDL decomposition and solvers. See <https://github.com/samuel-watson/SparseChol> for details.
Author: Sam Watson [aut, cre], Timothy A. Davis [aut, ctb]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>

Diff between SparseChol versions 0.3.1 dated 2024-01-08 and 0.3.2 dated 2024-12-08

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Package panelPomp updated to version 1.5.0.0 with previous version 1.4 dated 2024-09-12

Title: Inference for Panel Partially Observed Markov Processes
Description: Data analysis based on panel partially-observed Markov process (PanelPOMP) models. To implement such models, simulate them and fit them to panel data, 'panelPomp' extends some of the facilities provided for time series data by the 'pomp' package. Implemented methods include filtering (panel particle filtering) and maximum likelihood estimation (Panel Iterated Filtering) as proposed in Breto, Ionides and King (2020) "Panel Data Analysis via Mechanistic Models" <doi:10.1080/01621459.2019.1604367>.
Author: Carles Breto [aut] , Edward L. Ionides [aut] , Aaron A. King [aut] , Jesse Wheeler [aut, cre] , Aaron Abkemeier [ctb]
Maintainer: Jesse Wheeler <jeswheel@umich.edu>

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Package imuf updated to version 0.4.0 with previous version 0.3.0 dated 2024-11-06

Title: Estimate Orientation of an Inertial Measurement Unit
Description: Estimate the orientation of an inertial measurement unit (IMU) with a 3-axis accelerometer and a 3-axis gyroscope using a complementary filter. 'imuf' takes an IMU's accelerometer and gyroscope readings, time duration, its initial orientation, and a gain factor as inputs, and returns an estimate of the IMU's final orientation.
Author: Felix Chan [aut, cre, cph]
Maintainer: Felix Chan <chanfelix@gmail.com>

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Package manymome updated to version 0.2.5 with previous version 0.2.4 dated 2024-10-04

Title: Mediation, Moderation and Moderated-Mediation After Model Fitting
Description: Computes indirect effects, conditional effects, and conditional indirect effects in a structural equation model or path model after model fitting, with no need to define any user parameters or label any paths in the model syntax, using the approach presented in Cheung and Cheung (2023) <doi:10.3758/s13428-023-02224-z>. Can also form bootstrap confidence intervals by doing bootstrapping only once and reusing the bootstrap estimates in all subsequent computations. Supports bootstrap confidence intervals for standardized (partially or completely) indirect effects, conditional effects, and conditional indirect effects as described in Cheung (2009) <doi:10.3758/BRM.41.2.425> and Cheung, Cheung, Lau, Hui, and Vong (2022) <doi:10.1037/hea0001188>. Model fitting can be done by structural equation modeling using lavaan() or regression using lm().
Author: Shu Fai Cheung [aut, cre] , Sing-Hang Cheung [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

Diff between manymome versions 0.2.4 dated 2024-10-04 and 0.2.5 dated 2024-12-08

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Package MapperAlgo updated to version 1.0.1 with previous version 1.0 dated 2024-09-18

Title: Topological Data Analysis: Mapper Algorithm
Description: The Mapper algorithm from Topological Data Analysis, the steps are as follows 1. Define a filter (lens) function on the data. 2. Perform clustering within each level set. 3. Generate a complex from the clustering results.
Author: ChiChien Wang [aut, cre, trl], Paul Pearson [ctb], Daniel Muellner [ctb], Gurjeet Singh [ctb]
Maintainer: ChiChien Wang <kennywang2003@gmail.com>

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Package lubridate updated to version 1.9.4 with previous version 1.9.3 dated 2023-09-27

Title: Make Dealing with Dates a Little Easier
Description: Functions to work with date-times and time-spans: fast and user friendly parsing of date-time data, extraction and updating of components of a date-time (years, months, days, hours, minutes, and seconds), algebraic manipulation on date-time and time-span objects. The 'lubridate' package has a consistent and memorable syntax that makes working with dates easy and fun.
Author: Vitalie Spinu [aut, cre], Garrett Grolemund [aut], Hadley Wickham [aut], Davis Vaughan [ctb], Ian Lyttle [ctb], Imanuel Costigan [ctb], Jason Law [ctb], Doug Mitarotonda [ctb], Joseph Larmarange [ctb], Jonathan Boiser [ctb], Chel Hee Lee [ctb]
Maintainer: Vitalie Spinu <spinuvit@gmail.com>

Diff between lubridate versions 1.9.3 dated 2023-09-27 and 1.9.4 dated 2024-12-08

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Package duckdb updated to version 1.1.3-1 with previous version 1.1.3 dated 2024-11-21

Title: DBI Package for the DuckDB Database Management System
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and an R Database Interface (DBI) connector.
Author: Hannes Muehleisen [aut] , Mark Raasveldt [aut] , Kirill Mueller [cre] , Stichting DuckDB Foundation [cph], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrocher [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package TraMineR updated to version 2.2-11 with previous version 2.2-10 dated 2024-05-21

Title: Trajectory Miner: a Sequence Analysis Toolkit
Description: Set of sequence analysis tools for manipulating, describing and rendering categorical sequences, and more generally mining sequence data in the field of social sciences. Although this sequence analysis package is primarily intended for state or event sequences that describe time use or life courses such as family formation histories or professional careers, its features also apply to many other kinds of categorical sequence data. It accepts many different sequence representations as input and provides tools for converting sequences from one format to another. It offers several functions for describing and rendering sequences, for computing distances between sequences with different metrics (among which optimal matching), original dissimilarity-based analysis tools, and functions for extracting the most frequent event subsequences and identifying the most discriminating ones among them. A user's guide can be found on the TraMineR web page.
Author: Alexis Gabadinho [aut, cph], Matthias Studer [aut, cph] , Nicolas Mueller [aut], Reto Buergin [aut] , Pierre-Alexandre Fonta [aut], Gilbert Ritschard [aut, cre, cph]
Maintainer: Gilbert Ritschard <gilbert.ritschard@unige.ch>

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Package admisc updated to version 0.37 with previous version 0.36 dated 2024-09-11

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 functions '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>

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Package rjaf updated to version 0.1.1 with previous version 0.1.0 dated 2024-11-11

Title: Regularized Joint Assignment Forest with Treatment Arm Clustering
Description: Personalized assignment to one of many treatment arms via regularized and clustered joint assignment forests as described in Ladhania, Spiess, Ungar, and Wu (2023) <doi:10.48550/arXiv.2311.00577>. The algorithm pools information across treatment arms: it considers a regularized forest-based assignment algorithm based on greedy recursive partitioning that shrinks effect estimates across arms; and it incorporates a clustering scheme that combines treatment arms with consistently similar outcomes.
Author: Wenbo Wu [aut, cph] , Xinyi Zhang [aut, cre, cph] , Jann Spiess [aut, cph] , Rahul Ladhania [aut, cph]
Maintainer: Xinyi Zhang <zhang.xinyi@nyu.edu>

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Package MF.beta4 updated to version 1.1.1 with previous version 1.1.0 dated 2024-11-03

Title: Measuring Ecosystem Multi-Functionality and Its Decomposition
Description: Provide simple functions to (i) compute a class of multi-functionality measures for a single ecosystem for given function weights, (ii) decompose gamma multi-functionality for pairs of ecosystems and K ecosystems (K can be greater than 2) into a within-ecosystem component (alpha multi-functionality) and an among-ecosystem component (beta multi-functionality). In each case, the correlation between functions can be corrected for. Based on biodiversity and ecosystem function data, this software also facilitates graphics for assessing biodiversity-ecosystem functioning relationships across scales.
Author: Anne Chao [aut, cre], Chun-Yu Liu [ctb], KaiHsiang Hu [ctb]
Maintainer: Anne Chao <chao@stat.nthu.edu.tw>

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Package cluster updated to version 2.1.7 with previous version 2.1.6 dated 2023-12-01

Title: "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.
Description: Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".
Author: Martin Maechler [aut, cre] , Peter Rousseeuw [aut] , Anja Struyf [aut] , Mia Hubert [aut] , Kurt Hornik [trl, ctb] , <https://orcid.org/0000-0003-4198-9911>), Matthias Studer [ctb], Pierre Roudier [ctb], Juan Gonzalez [ctb], Kamil Kozlowski [ctb], Er [...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Sat, 07 Dec 2024

Package qtkit updated to version 1.1.0 with previous version 1.0.0 dated 2024-08-17

Title: Quantitative Text Kit
Description: Support package for the textbook "An Introduction to Quantitative Text Analysis for Linguists: Reproducible Research Using R" (Francom, 2024) <doi:10.4324/9781003393764>. Includes functions to acquire, clean, and analyze text data as well as functions to document and share the results of text analysis. The package is designed to be used in conjunction with the book, but can also be used as a standalone package for text analysis.
Author: Jerid Francom [aut, cre, cph]
Maintainer: Jerid Francom <francojc@wfu.edu>

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Package dverse updated to version 0.2.0 with previous version 0.1.0 dated 2024-11-22

Title: Document a Universe of Packages
Description: Creates a data frame containing the metadata associated with the documentation of a collection of R packages. It allows for linking topic names to their corresponding documentation online. If you maintain a universe meta-package, it helps create a comprehensive reference for its website.
Author: Mauro Lepore [aut, cre, cph]
Maintainer: Mauro Lepore <maurolepore@gmail.com>

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Package startup updated to version 0.23.0 with previous version 0.22.0 dated 2024-07-29

Title: Friendly R Startup Configuration
Description: Adds support for R startup configuration via '.Renviron.d' and '.Rprofile.d' directories in addition to '.Renviron' and '.Rprofile' files. This makes it possible to keep private / secret environment variables separate from other environment variables. It also makes it easier to share specific startup settings by simply copying a file to a directory.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package GDILM.SEIRS updated to version 0.0.2 with previous version 0.0.1 dated 2024-12-05

Title: Spatial Modeling of Infectious Disease with Reinfection
Description: Geographically Dependent Individual Level Models (GDILMs) within the Susceptible-Exposed-Infectious-Recovered-Susceptible (SEIRS) framework are applied to model infectious disease transmission, incorporating reinfection dynamics. This package employs a likelihood based Monte Carlo Expectation Conditional Maximization (MCECM) algorithm for estimating model parameters. It also provides tools for GDILM fitting, parameter estimation, AIC calculation on real pandemic data, and simulation studies customized to user-defined model settings.
Author: Amin Abed [aut, cre, cph] , Mahmoud Torabi [ths], Zeinab Mashreghi [ths]
Maintainer: Amin Abed <abeda@myumanitoba.ca>

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Package dawaR updated to version 0.2.7 with previous version 0.2.6 dated 2024-11-24

Title: An API Wrapper for 'DAWA' - 'The Danish Address Web API'
Description: Functions for interacting with all sections of the official 'Danish Address Web API' (also known as 'DAWA') <https://api.dataforsyningen.dk>. The development of this package is completely independent from the government agency, Klimadatastyrelsen, who maintains the API.
Author: Aleksander Bang-Larsen [aut, cre, cph] , Agency of Climate Data [ctb]
Maintainer: Aleksander Bang-Larsen <contact@aleksanderbl.dk>

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Package SVEMnet updated to version 1.2.1 with previous version 1.1.1 dated 2024-11-29

Title: Self-Validated Ensemble Models with Elastic Net Regression
Description: Implements Self-Validated Ensemble Models (SVEM, Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) using Elastic Net regression via 'glmnet' (Friedman et al. <doi:10.18637/jss.v033.i01>). SVEM averages predictions from multiple models fitted to fractionally weighted bootstraps of the data, tuned with anti-correlated validation weights. Also implements the randomized permutation whole model test for SVEM (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>). \\Code for the whole model test was taken from the supplementary material of Karl (2024). Development of this package was assisted by 'GPT o1-preview' for code structure and documentation.
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

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Package CCd updated to version 1.1 with previous version 1.0 dated 2024-09-26

Title: The Cauchy-Cacoullos (Discrete Cauchy) Distribution
Description: Maximum likelihood estimation of the Cauchy-Cacoullos (discrete Cauchy) distribution. Probability mass, distribution and quantile function are also included. The reference paper is: Papadatos N. (2022). "The Characteristic Function of the Discrete Cauchy Distribution in Memory of T. Cacoullos". Journal of Statistical Theory Practice, 16(3): 47. <doi:10.1007/s42519-022-00268-6>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package mark updated to version 0.8.2 with previous version 0.8.1 dated 2024-09-29

Title: Miscellaneous, Analytic R Kernels
Description: Miscellaneous functions and wrappers for development in other packages created, maintained by Jordan Mark Barbone.
Author: Jordan Mark Barbone [aut, cph, cre]
Maintainer: Jordan Mark Barbone <jmbarbone@gmail.com>

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Package gWidgets2 updated to version 1.0-10 with previous version 1.0-9 dated 2022-01-10

Title: Rewrite of gWidgets API for Simplified GUI Construction
Description: Re-implementation of the 'gWidgets' API. The API is defined in this package. A second, toolkit-specific package is required to use it. At this point only 'gWidgets2tcltk' is viable.
Author: John Verzani [aut, cre]
Maintainer: John Verzani <jverzani@gmail.com>

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Package landscapeR updated to version 1.3.1 with previous version 1.3 dated 2024-11-01

Title: Categorical Landscape Simulation Facility
Description: Simulates categorical maps on actual geographical realms, starting from either empty landscapes or landscapes provided by the user (e.g. land use maps). Allows to tweak or create landscapes while retaining a high degree of control on its features, without the hassle of specifying each location attribute. In this it differs from other tools which generate null or neutral landscapes in a theoretical space. The basic algorithm currently implemented uses a simple agent style/cellular automata growth model, with no rules (apart from areas of exclusion) and von Neumann neighbourhood (four cells, aka Rook case). Outputs are raster dataset exportable to any common GIS format.
Author: Dario Masante [aut, cre], Lora Murphy [ctb]
Maintainer: Dario Masante <dario.masante@gmail.com>

Diff between landscapeR versions 1.3 dated 2024-11-01 and 1.3.1 dated 2024-12-07

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Package tutorial.helpers updated to version 0.3.1 with previous version 0.3.0 dated 2024-06-26

Title: Helper Functions for Creating Tutorials
Description: Helper functions for creating, editing, and testing tutorials created with the 'learnr' package. Provides a simple method for allowing students to download their answers to tutorial questions. For examples of its use, see the 'r4ds.tutorials' package.
Author: David Kane [aut, cre, cph]
Maintainer: David Kane <dave.kane@gmail.com>

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Permanent link

Package igraph updated to version 2.1.2 with previous version 2.1.1 dated 2024-10-19

Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Author: Gabor Csardi [aut] , Tamas Nepusz [aut] , Vincent Traag [aut] , Szabolcs Horvat [aut] , Fabio Zanini [aut] , Daniel Noom [aut], Kirill Mueller [aut, cre] , Maelle Salmon [ctb], Michael Antonov [ctb], Chan Zuckerberg Initiative [fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Permanent link

Package pRecipe updated to version 3.0.2 with previous version 3.0.1-3 dated 2024-01-31

Title: Precipitation R Recipes
Description: An open-access tool/framework to download, validate, visualize, and analyze multi-source precipitation data. More information and an example of implementation can be found in Vargas Godoy and Markonis (2023, <doi:10.1016/j.envsoft.2023.105711>).
Author: Mijael Rodrigo Vargas Godoy [aut, cre] , Yannis Markonis [aut, ths]
Maintainer: Mijael Rodrigo Vargas Godoy <mirovago@gmail.com>

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Package DBItest updated to version 1.8.2 with previous version 1.8.1 dated 2024-03-31

Title: Testing DBI Backends
Description: A helper that tests DBI back ends for conformity to the interface.
Author: Kirill Mueller [aut, cre] , RStudio [cph], R Consortium [fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between DBItest versions 1.8.1 dated 2024-03-31 and 1.8.2 dated 2024-12-07

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Package JuliaCall updated to version 0.17.6 with previous version 0.17.5 dated 2022-09-08

Title: Seamless Integration Between R and 'Julia'
Description: Provides an R interface to 'Julia', which is a high-level, high-performance dynamic programming language for numerical computing, see <https://julialang.org/> for more information. It provides a high-level interface as well as a low-level interface. Using the high level interface, you could call any 'Julia' function just like any R function with automatic type conversion. Using the low level interface, you could deal with C-level SEXP directly while enjoying the convenience of using a high-level programming language like 'Julia'.
Author: Changcheng Li [aut, cre], Christopher Rackauckas [ctb], Randy Lai [ctb], Dmitri Grominski [ctb], Nagi Teramo [ctb]
Maintainer: Changcheng Li <cxl508@psu.edu>

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Package sstvars updated to version 1.1.1 with previous version 1.1.0 dated 2024-11-29

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 LSTbook updated to version 0.6 with previous version 0.5.0 dated 2024-02-23

Title: Data and Software for "Lessons in Statistical Thinking"
Description: "Lessons in Statistical Thinking" D.T. Kaplan (2014) <https://dtkaplan.github.io/Lessons-in-statistical-thinking/> is a textbook for a first or second course in statistics that embraces data wrangling, causal reasoning, modeling, statistical adjustment, and simulation. 'LSTbook' supports the student-centered, tidy, pipeline-oriented computing style featured in the book.
Author: Daniel Kaplan [aut, cre], Randall Pruim [aut]
Maintainer: Daniel Kaplan <dtkaplan@gmail.com>

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Package speakr updated to version 3.2.4 with previous version 3.2.2 dated 2024-01-29

Title: A Wrapper for the Phonetic Software 'Praat'
Description: It allows running 'Praat' scripts from R and it provides some wrappers for basic plotting. It also adds support for literate markdown tangling. The package is designed to bring reproducible phonetic research into R.
Author: Stefano Coretta [aut, cre]
Maintainer: Stefano Coretta <stefano.coretta@gmail.com>

Diff between speakr versions 3.2.2 dated 2024-01-29 and 3.2.4 dated 2024-12-07

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Package tidygam updated to version 0.2.2 with previous version 0.2.0 dated 2023-05-09

Title: Tidy Prediction and Plotting of Generalised Additive Models
Description: Provides functions that compute predictions from Generalised Additive Models (GAMs) fitted with 'mgcv' and return them as a tibble. These can be plotted with a generic plot()-method that uses 'ggplot2' or plotted as any other data frame. The main function is predict_gam().
Author: Stefano Coretta [aut, cre]
Maintainer: Stefano Coretta <stefano.coretta@gmail.com>

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Package missRanger updated to version 2.6.1 with previous version 2.6.0 dated 2024-08-17

Title: Fast Imputation of Missing Values
Description: Alternative implementation of the beautiful 'MissForest' algorithm used to impute mixed-type data sets by chaining random forests, introduced by Stekhoven, D.J. and Buehlmann, P. (2012) <doi:10.1093/bioinformatics/btr597>. Under the hood, it uses the lightning fast random forest package 'ranger'. Between the iterative model fitting, we offer the option of using predictive mean matching. This firstly avoids imputation with values not already present in the original data (like a value 0.3334 in 0-1 coded variable). Secondly, predictive mean matching tries to raise the variance in the resulting conditional distributions to a realistic level. This would allow, e.g., to do multiple imputation when repeating the call to missRanger(). Out-of-sample application is supported as well.
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

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Package cubar updated to version 1.1.0 with previous version 1.0.0 dated 2024-08-01

Title: Codon Usage Bias Analysis
Description: A suite of functions for rapid and flexible analysis of codon usage bias. It provides in-depth analysis at the codon level, including relative synonymous codon usage (RSCU), tRNA weight calculations, machine learning predictions for optimal or preferred codons, and visualization of codon-anticodon pairing. Additionally, it can calculate various gene- specific codon indices such as codon adaptation index (CAI), effective number of codons (ENC), fraction of optimal codons (Fop), tRNA adaptation index (tAI), mean codon stabilization coefficients (CSCg), and GC contents (GC/GC3s/GC4d). It also supports both standard and non-standard genetic code tables found in NCBI, as well as custom genetic code tables.
Author: Hong Zhang [aut, cre] , Mengyue Liu [aut], Bu Zi [aut]
Maintainer: Hong Zhang <mt1022.dev@gmail.com>

Diff between cubar versions 1.0.0 dated 2024-08-01 and 1.1.0 dated 2024-12-07

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Package plotthis updated to version 0.4.0 with previous version 0.3.6 dated 2024-11-07

Title: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages
Description: Provides high-level API and a wide range of options to create stunning, publication-quality plots effortlessly. It is built upon 'ggplot2' and other plotting packages, and is designed to be easy to use and to work seamlessly with 'ggplot2' objects. It is particularly useful for creating complex plots with multiple layers, facets, and annotations. It also provides a set of functions to create plots for specific types of data, such as Venn diagrams, alluvial diagrams, and phylogenetic trees. The package is designed to be flexible and customizable, and to work well with the 'ggplot2' ecosystem. The API can be found at <https://pwwang.github.io/plotthis/reference/index.html>.
Author: Panwen Wang [aut, cre]
Maintainer: Panwen Wang <pwwang@pwwang.com>

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Fri, 06 Dec 2024

Package tidyplate updated to version 2.2.0 with previous version 2.1.0 dated 2024-11-18

Title: Transform Microplate Data into Tibbles
Description: The goal of 'tidyplate' is to help researchers convert different types of microplates into tibbles which can be used in data analysis. It accepts xlsx and csv files formatted in a specific way as input. It supports all types of standard microplate formats such as 6-well, 12-well, 24-well, 48-well, 96-well, 384-well, and, 1536-well plates.
Author: Shubham Dutta [aut, cre, cph]
Maintainer: Shubham Dutta <shubhamdutta26@gmail.com>

Diff between tidyplate versions 2.1.0 dated 2024-11-18 and 2.2.0 dated 2024-12-06

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Package gmoTree updated to version 1.3.1 with previous version 1.3.0 dated 2024-12-06

Title: Get and Modify 'oTree' Data
Description: Efficiently manage and process data from 'oTree' experiments. Import 'oTree' data and clean them by using functions that handle messy data, dropouts, and other problematic cases. Create IDs, calculate the time, transfer variables between app data frames, and delete sensitive information. Review your experimental data prior to running the experiment and automatically generate a detailed summary of the variables used in your 'oTree' code. Information on 'oTree' is found in Chen, D. L., Schonger, M., & Wickens, C. (2016) <doi:10.1016/j.jbef.2015.12.001>.
Author: Patricia F. Zauchner [aut, trl, cre, cph]
Maintainer: Patricia F. Zauchner <patricia.zauchner@gmx.at>

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Package XRSCC updated to version 0.2 with previous version 0.1 dated 2016-11-11

Title: Statistical Quality Control Simulation
Description: This is a set of statistical quality control functions, that allows plotting control charts and its iterations, process capability for variable and attribute control, highlighting the xrs_gr() function, like a first iteration for variable chart, meanwhile the we_rules() function detects non random patterns in sample.
Author: Erick Marroquin [aut, cre]
Maintainer: Erick Marroquin <ericksuhel@gmail.com>

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Package LMest updated to version 3.2.4 with previous version 3.2.3 dated 2024-11-05

Title: Generalized Latent Markov Models
Description: Latent Markov models for longitudinal continuous and categorical data. See Bartolucci, Pandolfi, Pennoni (2017)<doi:10.18637/jss.v081.i04>.
Author: Francesco Bartolucci [aut, cre], Silvia Pandolfi [aut], Fulvia Pennoni [aut], Alessio Farcomeni [ctb], Alessio Serafini [ctb]
Maintainer: Francesco Bartolucci <francesco.bartolucci@unipg.it>

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Package spheresmooth updated to version 0.1.3 with previous version 0.1.0 dated 2024-04-18

Title: Piecewise Geodesic Smoothing for Spherical Data
Description: Fitting a smooth path to a given set of noisy spherical data observed at known time points. It implements a piecewise geodesic curve fitting method on the unit sphere based on a velocity-based penalization scheme. The proposed approach is implemented using the Riemannian block coordinate descent algorithm. To understand the method and algorithm, one can refer to Bak, K. Y., Shin, J. K., & Koo, J. Y. (2023) <doi:10.1080/02664763.2022.2054962> for the case of order 1. Additionally, this package includes various functions necessary for handling spherical data.
Author: Jae-Hwan Jhong [aut] , Ja-Yong Koo [aut] , Seyoung Lee [aut] , Kwan-Young Bak [aut, cre, cph]
Maintainer: Kwan-Young Bak <kybak@sungshin.ac.kr>

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Package BiostatsUHNplus updated to version 1.0.1 with previous version 0.0.10 dated 2024-05-24

Title: Nested Data Summary, Adverse Events and REDCap
Description: Tools and code snippets for summarizing nested data, adverse events and REDCap study information.
Author: Lisa Avery [aut] , Zeynep Baskurt [aut], Osvaldo Espin-Garcia [aut], Katrina Hueniken [aut], Katherine Lajkosz [aut] , Xuan Li [aut], Tyler Pittman [cre, aut] , Anna Santiago [aut] , Jessica Weiss [aut], Wei Xu [aut]
Maintainer: Tyler Pittman <tyler.pittman@uhn.ca>

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Package rticulate updated to version 1.7.4 with previous version 1.7.3 dated 2022-09-04

Title: Ultrasound Tongue Imaging
Description: A tool for processing Articulate Assistant Advanced™ (AAA) export files and plot tongue contour data from any system.
Author: Stefano Coretta [aut, cre]
Maintainer: Stefano Coretta <stefano.coretta@gmail.com>

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Package crandep updated to version 0.3.11 with previous version 0.3.10 dated 2024-08-18

Title: Network Analysis of Dependencies of CRAN Packages
Description: The dependencies of CRAN packages can be analysed in a network fashion. For each package we can obtain the packages that it depends, imports, suggests, etc. By iterating this procedure over a number of packages, we can build, visualise, and analyse the dependency network, enabling us to have a bird's-eye view of the CRAN ecosystem. One aspect of interest is the number of reverse dependencies of the packages, or equivalently the in-degree distribution of the dependency network. This can be fitted by the power law and/or an extreme value mixture distribution <doi:10.1111/stan.12355>, of which functions are provided.
Author: Clement Lee [aut, cre]
Maintainer: Clement Lee <clement.lee.tm@outlook.com>

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Package sfnetworks updated to version 0.6.5 with previous version 0.6.4 dated 2024-04-09

Title: Tidy Geospatial Networks
Description: Provides a tidy approach to spatial network analysis, in the form of classes and functions that enable a seamless interaction between the network analysis package 'tidygraph' and the spatial analysis package 'sf'.
Author: Lucas van der Meer [aut, cre] , Lorena Abad [aut] , Andrea Gilardi [aut] , Robin Lovelace [aut]
Maintainer: Lucas van der Meer <luukvandermeer@live.nl>

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Package rstanemax updated to version 0.1.7 with previous version 0.1.6 dated 2024-12-05

Title: Emax Model Analysis with 'Stan'
Description: Perform sigmoidal Emax model fit using 'Stan' in a formula notation, without writing 'Stan' model code.
Author: Kenta Yoshida [aut, cre] , Danielle Navarro [aut], Trustees of Columbia University [cph]
Maintainer: Kenta Yoshida <yoshida.kenta.6@gmail.com>

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Package rollama updated to version 0.2.0 with previous version 0.1.0 dated 2024-05-01

Title: Communicate with 'Ollama' to Run Large Language Models Locally
Description: Wraps the 'Ollama' <https://ollama.com> API, which can be used to communicate with generative large language models locally.
Author: Johannes B. Gruber [aut, cre] , Maximilian Weber [aut, ctb]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>

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More information about rollama at CRAN
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Package projections updated to version 0.6.1 with previous version 0.6.0 dated 2023-03-23

Title: Project Future Case Incidence
Description: Provides functions and graphics for projecting daily incidence based on past incidence, and estimates of the serial interval and reproduction number. Projections are based on a branching process using a Poisson-distributed number of new cases per day, similar to the model used for estimating R in 'EpiEstim' or in 'earlyR', and described by Nouvellet et al. (2017) <doi:10.1016/j.epidem.2017.02.012>. The package provides the S3 class 'projections' which extends 'matrix', with accessors and additional helpers for handling, subsetting, merging, or adding these objects, as well as dedicated printing and plotting methods.
Author: Thibaut Jombart [aut, cre], Pierre Nouvellet [aut], Sangeeta Bhatia [ctb], Zhian N. Kamvar [ctb], Tim Taylor [ctb], Stephane Ghozzi [ctb]
Maintainer: Thibaut Jombart <thibautjombart@gmail.com>

Diff between projections versions 0.6.0 dated 2023-03-23 and 0.6.1 dated 2024-12-06

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More information about projections at CRAN
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