Tue, 25 Feb 2025

Package lpcde updated to version 0.1.6 with previous version 0.1.5 dated 2024-11-14

Title: Boundary Adaptive Local Polynomial Conditional Density Estimator
Description: Tools for estimation and inference of conditional densities, derivatives and functions. This is the companion software for Cattaneo, Chandak, Jansson and Ma (2024) <doi:10.3150/23-BEJ1711>.
Author: Matias D. Cattaneo [aut], Michael Jansson [aut], Xinwei Ma [aut], Rajita Chandak [aut, cre]
Maintainer: Rajita Chandak <rajita.chandak@epfl.ch>

Diff between lpcde versions 0.1.5 dated 2024-11-14 and 0.1.6 dated 2025-02-25

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Package tram updated to version 1.2-1 with previous version 1.2-0 dated 2024-11-19

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt' (<DOI:10.32614/CRAN.package.mlt>, <DOI:10.32614/CRAN.package.mlt.docreg>). Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, <DOI:10.1093/biostatistics/kxac048>). Multivariate conditional transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) and shift-scale transformation models (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) can be fitted as well. The package contains an implementation of a doubly robust score test, [...truncated...]
Author: Torsten Hothorn [aut, cre] , Luisa Barbanti [aut] , Sandra Siegfried [aut] , Lucas Kook [aut] , Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between tram versions 1.2-0 dated 2024-11-19 and 1.2-1 dated 2025-02-25

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New package scalablebayesm with initial version 0.2
Package: scalablebayesm
Title: Distributed Markov Chain Monte Carlo for Bayesian Inference in Marketing
Version: 0.2
Date: 2025-01-28
Maintainer: Federico Bumbaca <federico.bumbaca@colorado.edu>
Description: Estimates unit-level and population-level parameters from a hierarchical model in marketing applications. The package includes: Hierarchical Linear Models with a mixture of normals prior and covariates, Hierarchical Multinomial Logits with a mixture of normals prior and covariates, Hierarchical Multinomial Logits with a Dirichlet Process prior and covariates. For more details, see Bumbaca, F. (Rico), Misra, S., & Rossi, P. E. (2020) <doi:10.1177/0022243720952410> "Scalable Target Marketing: Distributed Markov Chain Monte Carlo for Bayesian Hierarchical Models". Journal of Marketing Research, 57(6), 999-1018.
License: GPL (>= 2)
Encoding: UTF-8
Imports: Rcpp (>= 1.0.9), parallel, bayesm
LinkingTo: Rcpp, RcppArmadillo, bayesm
NeedsCompilation: yes
Packaged: 2025-02-23 19:33:42 UTC; jacknovak
Author: Federico Bumbaca [aut, cre], Jackson Novak [aut]
Repository: CRAN
Date/Publication: 2025-02-25 12:30:02 UTC

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New package pdcor with initial version 1.0
Package: pdcor
Title: Fast and Light-Weight Partial Distance Correlation
Version: 1.0
Date: 2025-02-23
Author: Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: dcov, Rfast, Rfast2, stats
Description: Fast and memory-less computation of the partial distance correlation for vectors and matrices. Permutation-based and asymptotic hypothesis testing for zero partial distance correlation are also performed. References include: Szekely G. J. and Rizzo M. L. (2014). "Partial distance correlation with methods for dissimilarities". The Annals Statistics, 42(6): 2382--2412. <doi:10.1214/14-AOS1255>. Shen C., Panda S. and Vogelstein J. T. (2022). "The Chi-Square Test of Distance Correlation". Journal of Computational and Graphical Statistics, 31(1): 254--262. <doi:10.1080/10618600.2021.1938585>. Szekely G. J. and Rizzo M. L. (2023). "The Energy of Data and Distance Correlation". Chapman and Hall/CRC. <ISBN:9781482242744>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-02-23 17:51:47 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-02-25 12:20:02 UTC

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Package INLAspacetime updated to version 0.1.11 with previous version 0.1.10 dated 2024-10-16

Title: Spatial and Spatio-Temporal Models using 'INLA'
Description: Prepare objects to implement models over spatial and spacetime domains with the 'INLA' package (<https://www.r-inla.org>). These objects contain data to for the 'cgeneric' interface in 'INLA', enabling fast parallel computations. We implemented the spatial barrier model, see Bakka et. al. (2019) <doi:10.1016/j.spasta.2019.01.002>, and some of the spatio-temporal models proposed in Lindgren et. al. (2023) <https://www.idescat.cat/sort/sort481/48.1.1.Lindgren-etal.pdf>. Details are provided in the available vignettes and from the URL bellow.
Author: Elias Teixeira Krainski [cre, aut, cph] , Finn Lindgren [aut] , Haavard Rue [aut]
Maintainer: Elias Teixeira Krainski <eliaskrainski@gmail.com>

Diff between INLAspacetime versions 0.1.10 dated 2024-10-16 and 0.1.11 dated 2025-02-25

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Package bvhar updated to version 2.2.1 with previous version 2.2.0 dated 2025-02-06

Title: Bayesian Vector Heterogeneous Autoregressive Modeling
Description: Tools to model and forecast multivariate time series including Bayesian Vector heterogeneous autoregressive (VHAR) model by Kim & Baek (2023) (<doi:10.1080/00949655.2023.2281644>). 'bvhar' can model Vector Autoregressive (VAR), VHAR, Bayesian VAR (BVAR), and Bayesian VHAR (BVHAR) models.
Author: Young Geun Kim [aut, cre, cph] , Changryong Baek [ctb]
Maintainer: Young Geun Kim <ygeunkimstat@gmail.com>

Diff between bvhar versions 2.2.0 dated 2025-02-06 and 2.2.1 dated 2025-02-25

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New package bolt4jr with initial version 1.4.0
Package: bolt4jr
Title: Interface for the 'Neo4j Bolt' Protocol
Version: 1.4.0
Description: Querying, extracting, and processing large-scale network data from Neo4j databases using the 'Neo4j Bolt' <https://neo4j.com/docs/bolt/current/bolt/> protocol. This interface supports efficient data retrieval, batch processing for large datasets, and seamless conversion of query results into R data frames, making it ideal for bioinformatics, computational biology, and other graph-based applications.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: data.table, glue, purrr, reticulate
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-22 23:55:09 UTC; wanjun
Author: Wanjun Gu [aut, cre]
Maintainer: Wanjun Gu <wanjun.gu@ucsf.edu>
Repository: CRAN
Date/Publication: 2025-02-25 11:50:02 UTC

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Package dmm updated to version 3.1-1 with previous version 2.1-10 dated 2024-06-03

Title: Dyadic Mixed Model for Pedigree Data
Description: Mixed model analysis for quantitative genetics with multi-trait responses and pedigree-based partitioning of individual variation into a range of environmental and genetic variance components for individual and maternal effects. Method documented in dmmOverview.pdf; dmm is an implementation of dispersion mean model described by Searle et al. (1992) "Variance Components", Wiley, NY. 'DMM' can do 'MINQUE', 'bias-corrected-ML', and 'REML' variance component estimates.
Author: Neville Jackson [aut, cre]
Maintainer: Neville Jackson <nanddjackson@bigpond.com>

Diff between dmm versions 2.1-10 dated 2024-06-03 and 3.1-1 dated 2025-02-25

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Package pam updated to version 1.0.2 with previous version 1.0.1 dated 2025-01-15

Title: Fast and Efficient Processing of PAM Data
Description: Processing Chlorophyll Fluorescence & P700 Absorbance data generated by WALZ hardware. Four models are provided for the regression of Pi curves, which can be compared with each other in order to select the most suitable model for the data set. Control plots ensure the successful verification of each regression. Bundled output of alpha, ETRmax, Ik etc. enables fast and reliable further processing of the data.
Author: Julien Boehm [cre, aut] , Philipp Schrag [aut]
Maintainer: Julien Boehm <julien.boehm@uni-rostock.de>

Diff between pam versions 1.0.1 dated 2025-01-15 and 1.0.2 dated 2025-02-25

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Package cSEM updated to version 0.6.0 with previous version 0.5.0 dated 2022-11-24

Title: Composite-Based Structural Equation Modeling
Description: Estimate, assess, test, and study linear, nonlinear, hierarchical and multigroup structural equation models using composite-based approaches and procedures, including estimation techniques such as partial least squares path modeling (PLS-PM) and its derivatives (PLSc, ordPLSc, robustPLSc), generalized structured component analysis (GSCA), generalized structured component analysis with uniqueness terms (GSCAm), generalized canonical correlation analysis (GCCA), principal component analysis (PCA), factor score regression (FSR) using sum score, regression or Bartlett scores (including bias correction using Croon’s approach), as well as several tests and typical postestimation procedures (e.g., verify admissibility of the estimates, assess the model fit, test the model fit etc.).
Author: Manuel E. Rademaker [aut] , Florian Schuberth [aut, cre] , Tamara Schamberger [ctb] , Michael Klesel [ctb] , Huu Phuc Nguyen [ctb] , Theo K. Dijkstra [ctb], Joerg Henseler [ctb]
Maintainer: Florian Schuberth <f.schuberth@utwente.nl>

Diff between cSEM versions 0.5.0 dated 2022-11-24 and 0.6.0 dated 2025-02-25

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Package akc updated to version 0.9.9.1 with previous version 0.9.9 dated 2023-01-06

Title: Automatic Knowledge Classification
Description: A tidy framework for automatic knowledge classification and visualization. Currently, the core functionality of the framework is mainly supported by modularity-based clustering (community detection) in keyword co-occurrence network, and focuses on co-word analysis of bibliometric research. However, the designed functions in 'akc' are general, and could be extended to solve other tasks in text mining as well.
Author: Tian-Yuan Huang [aut, cre]
Maintainer: Tian-Yuan Huang <huang.tian-yuan@qq.com>

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Package watcher updated to version 0.1.2 with previous version 0.1.1 dated 2025-02-10

Title: Watch the File System for Changes
Description: R binding for 'libfswatch', a file system monitoring library. Watch files, or directories recursively, for changes in the background. Log activity, or run an R function every time a change event occurs.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package expirest updated to version 0.1.7 with previous version 0.1.6 dated 2024-03-25

Title: Expiry Estimation Procedures
Description: The Australian Regulatory Guidelines for Prescription Medicines (ARGPM), guidance on "Stability testing for prescription medicines", recommends to predict the shelf life of chemically derived medicines from stability data by taking the worst case situation at batch release into account. Consequently, if a change over time is observed, a release limit needs to be specified. Finding a release limit and the associated shelf life is supported, as well as the standard approach that is recommended by guidance Q1E "Evaluation of stability data" from the International Council for Harmonisation (ICH).
Author: Pius Dahinden [aut, cre], Tillotts Pharma AG [cph, fnd]
Maintainer: Pius Dahinden <pius.dahinden@tillotts.com>

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Package cata updated to version 0.1.0.27 with previous version 0.1.0.26 dated 2025-02-17

Title: Analysis of Check-All-that-Apply (CATA) Data
Description: Package contains functions for analyzing check-all-that-apply (CATA) data from consumer and sensory tests. Cochran's Q test, McNemar's test, and Penalty-Lift analysis are provided; for details, see Meyners, Castura & Carr (2013) <doi:10.1016/j.foodqual.2013.06.010>. Cluster analysis can be performed using b-cluster analysis, then evaluated using various measures; for details, see Castura, Meyners, Varela & Næs (2022) <doi:10.1016/j.foodqual.2022.104564>. Methods are adapted to cluster consumers based on their product-related hedonic responses; for details, see Castura, Meyners, Pohjanheimo, Varela & Næs (2023) <doi:10.1111/joss.12860>. Permutation tests based on the L1-norm methods are provided; for details, see Chaya, Castura & Greenacre (2025) <doi:10.48550/arXiv.2502.15945>.
Author: J.C. Castura [aut, cre, ctb]
Maintainer: J.C. Castura <jcastura@compusense.com>

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Package RPostgres updated to version 1.4.8 with previous version 1.4.7 dated 2024-05-27

Title: C++ Interface to PostgreSQL
Description: Fully DBI-compliant C++-backed interface to PostgreSQL <https://www.postgresql.org/>, an open-source relational database.
Author: Hadley Wickham [aut], Jeroen Ooms [aut], Kirill Mueller [aut, cre] , RStudio [cph], R Consortium [fnd], Tomoaki Nishiyama [ctb]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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