Mon, 20 Jan 2025

Package Blend updated to version 0.1.1 with previous version 0.1.0 dated 2024-11-25

Title: Robust Bayesian Longitudinal Regularized Semiparametric Mixed Models
Description: Our recently developed fully robust Bayesian semiparametric mixed-effect model for high-dimensional longitudinal studies with heterogeneous observations can be implemented through this package. This model can distinguish between time-varying interactions and constant-effect-only cases to avoid model misspecifications. Facilitated by spike-and-slab priors, this model leads to superior performance in estimation, identification and statistical inference. In particular, robust Bayesian inferences in terms of valid Bayesian credible intervals on both parametric and nonparametric effects can be validated on finite samples. The Markov chain Monte Carlo algorithms of the proposed and alternative models are efficiently implemented in 'C++'.
Author: Kun Fan [aut, cre], Cen Wu [aut]
Maintainer: Kun Fan <kfan@ksu.edu>

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Package RFCCA (with last version 2.0.0) was removed from CRAN

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

2024-02-08 2.0.0

Permanent link
Package nascaR.data updated to version 2.1.0 with previous version 1.0.0 dated 2024-07-09

Title: NASCAR Race Data
Description: A collection of NASCAR race, driver, owner and manufacturer data across the three major NASCAR divisions: NASCAR Cup Series, NASCAR Xfinity Series, and NASCAR Craftsman Truck Series. The curated data begins with the 1949 season and extends through the end of the 2024 season. Explore race, season, or career performance for drivers, teams, and manufacturers throughout NASCAR's history. Data was sourced with permission from DriverAverages.com.
Author: Kyle Grealis [aut, cre] , Gabriel Odom [ctb]
Maintainer: Kyle Grealis <kylegrealis@icloud.com>

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Package smcfcs updated to version 1.9.2 with previous version 1.9.1 dated 2024-12-04

Title: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification
Description: Implements multiple imputation of missing covariates by Substantive Model Compatible Fully Conditional Specification. This is a modification of the popular FCS/chained equations multiple imputation approach, and allows imputation of missing covariate values from models which are compatible with the user specified substantive model.
Author: Jonathan Bartlett [aut, cre], Ruth Keogh [aut], Edouard F. Bonneville [aut], Claus Thorn Ekstroem [ctb]
Maintainer: Jonathan Bartlett <jonathan.bartlett1@lshtm.ac.uk>

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Package SurrogateParadoxTest updated to version 2.0 with previous version 1.0 dated 2024-12-08

Title: Empirical Testing of Surrogate Paradox Assumptions
Description: Provides functions to nonparametrically assess assumptions necessary to prevent the surrogate paradox through hypothesis tests of stochastic dominance, monotonicity of regression functions, and non-negative residual treatment effects. More details are available in Hsiao et al 2025 (under review). A tutorial for this package can be found at <https://laylaparast.com/home/SurrogateParadoxTest.html>.
Author: Emily Hsiao [aut, cre]
Maintainer: Emily Hsiao <ehsiao@utexas.edu>

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Package spam updated to version 2.11-1 with previous version 2.11-0 dated 2024-10-03

Title: SPArse Matrix
Description: Set of functions for sparse matrix algebra. Differences with other sparse matrix packages are: (1) we only support (essentially) one sparse matrix format, (2) based on transparent and simple structure(s), (3) tailored for MCMC calculations within G(M)RF. (4) and it is fast and scalable (with the extension package spam64). Documentation about 'spam' is provided by vignettes included in this package, see also Furrer and Sain (2010) <doi:10.18637/jss.v036.i10>; see 'citation("spam")' for details.
Author: Reinhard Furrer [aut, cre] , Florian Gerber [aut] , Roman Flury [aut] , Daniel Gerber [ctb], Kaspar Moesinger [ctb], Annina Cincera [ctb], Youcef Saad [ctb] , Esmond G. Ng [ctb] , Barry W. Peyton [ctb] , Joseph W.H. Liu [ctb] , Alan D. George [ctb] , [...truncated...]
Maintainer: Reinhard Furrer <reinhard.furrer@math.uzh.ch>

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Package multiblock updated to version 0.8.9.0 with previous version 0.8.8.2 dated 2024-09-16

Title: Multiblock Data Fusion in Statistics and Machine Learning
Description: Functions and datasets to support Smilde, Næs and Liland (2021, ISBN: 978-1-119-60096-1) "Multiblock Data Fusion in Statistics and Machine Learning - Applications in the Natural and Life Sciences". This implements and imports a large collection of methods for multiblock data analysis with common interfaces, result- and plotting functions, several real data sets and six vignettes covering a range different applications.
Author: Kristian Hovde Liland [aut, cre] , Solve Saeboe [ctb], Stefan Schrunner [rev]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package ilabelled updated to version 1.0.1 with previous version 1.0.0 dated 2024-08-21

Title: Simple Handling of Labelled Data
Description: Simple handling of survey data. Smart handling of meta-information like e.g. variable-labels value-labels and scale-levels. Easy access and validation of meta-information. Useage of value labels and values respectively for subsetting and recoding data.
Author: Christof Lewerenz [aut, cre]
Maintainer: Christof Lewerenz <christof.lewerenz@gmx.net>

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Package EgoCor updated to version 1.3.0 with previous version 1.2.0 dated 2024-03-28

Title: Simple Presentation of Estimated Exponential Semi-Variograms
Description: User friendly interface based on the R package 'gstat' to fit exponential parametric models to empirical semi-variograms in order to model the spatial correlation structure of health data. Geo-located health outcomes of survey participants may be used to model spatial effects on health in an ego-centred approach. The package contains a range of functions to help explore the spatial structure of the data as well as visualize the fit of exponential models for various metaparameter combinations with respect to the number of lag intervals and maximal distance. Furthermore, the outcome of interest can be adjusted for covariates by fitting a linear regression in a preliminary step before the semi-variogram fitting process.
Author: Julia Dyck [aut, cre], Odile Sauzet [aut], Jan-Ole Koslik [aut]
Maintainer: Julia Dyck <j.dyck@uni-bielefeld.de>

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Package DTSg updated to version 2.0.0 with previous version 1.1.3 dated 2023-09-27

Title: A Class for Working with Time Series Data Based on 'data.table' and 'R6' with Largely Optional Reference Semantics
Description: Basic time series functionalities such as listing of missing values, application of arbitrary aggregation as well as rolling (asymmetric) window functions and automatic detection of periodicity. As it is mainly based on 'data.table', it is fast and (in combination with the 'R6' package) offers reference semantics. In addition to its native R6 interface, it provides an S3 interface for those who prefer the latter. Finally yet importantly, its functional approach allows for incorporating functionalities from many other packages.
Author: Gerold Hepp [aut, cre]
Maintainer: Gerold Hepp <gisler@hepp.cc>

Diff between DTSg versions 1.1.3 dated 2023-09-27 and 2.0.0 dated 2025-01-20

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Package QGglmm updated to version 0.8.0 with previous version 0.7.4 dated 2020-01-07

Title: Estimate Quantitative Genetics Parameters from Generalised Linear Mixed Models
Description: Compute various quantitative genetics parameters from a Generalised Linear Mixed Model (GLMM) estimates. Especially, it yields the observed phenotypic mean, phenotypic variance and additive genetic variance.
Author: Pierre de Villemereuil [aut, cre]
Maintainer: Pierre de Villemereuil <pierre.de-villemereuil@mnhn.fr>

Diff between QGglmm versions 0.7.4 dated 2020-01-07 and 0.8.0 dated 2025-01-20

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New package micer with initial version 0.2.0
Package: micer
Title: Map Image Classification Efficacy
Version: 0.2.0
Date: 2025-01-05
Maintainer: Aaron Maxwell <Aaron.Maxwell@mail.wvu.edu>
Description: Map image classification efficacy (MICE) adjusts the accuracy rate relative to a random classification baseline (Shao et al. (2021)<doi:10.1109/ACCESS.2021.3116526> and Tang et al. (2024)<doi:10.1109/TGRS.2024.3446950>). Only the proportions from the reference labels are considered, as opposed to the proportions from the reference and predictions, as is the case for the Kappa statistic. This package offers means to calculate MICE and adjusted versions of class-level user's accuracy (i.e., precision) and producer's accuracy (i.e., recall) and F1-scores. Class-level metrics are aggregated using macro-averaging. Functions are also made available to estimate confidence intervals using bootstrapping and statistically compare two classification results.
Depends: R (>= 2.10)
Imports: dplyr (>= 1.1.3),
License: GPL (>= 3)
URL: https://github.com/maxwell-geospatial/micer
BugReports: https://github.com/maxwell-geospatial/micer/issues
NeedsCompilation: no
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2025-01-18 02:30:32 UTC; vidcg
Author: Aaron Maxwell [aut, cre, cph], Sarah Farhadpour [aut]
Repository: CRAN
Date/Publication: 2025-01-20 21:00:01 UTC

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Package fastDummies updated to version 1.7.5 with previous version 1.7.4 dated 2024-08-16

Title: Fast Creation of Dummy (Binary) Columns and Rows from Categorical Variables
Description: Creates dummy columns from columns that have categorical variables (character or factor types). You can also specify which columns to make dummies out of, or which columns to ignore. Also creates dummy rows from character, factor, and Date columns. This package provides a significant speed increase from creating dummy variables through model.matrix().
Author: Jacob Kaplan [aut, cre] , Benjamin Schlegel [ctb]
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>

Diff between fastDummies versions 1.7.4 dated 2024-08-16 and 1.7.5 dated 2025-01-20

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Package RISCA updated to version 1.0.6 with previous version 1.0.5 dated 2024-03-22

Title: Causal Inference and Prediction in Cohort-Based Analyses
Description: Numerous functions for cohort-based analyses, either for prediction or causal inference. For causal inference, it includes Inverse Probability Weighting and G-computation for marginal estimation of an exposure effect when confounders are expected. We deal with binary outcomes, times-to-events, competing events, and multi-state data. For multistate data, semi-Markov model with interval censoring may be considered, and we propose the possibility to consider the excess of mortality related to the disease compared to reference lifetime tables. For predictive studies, we propose a set of functions to estimate time-dependent receiver operating characteristic (ROC) curves with the possible consideration of right-censoring times-to-events or the presence of confounders. Finally, several functions are available to assess time-dependent ROC curves or survival curves from aggregated data.
Author: Yohann Foucher [aut, cre] , Florent Le Borgne [aut], Arthur Chatton [aut]
Maintainer: Yohann Foucher <Yohann.Foucher@univ-poitiers.fr>

Diff between RISCA versions 1.0.5 dated 2024-03-22 and 1.0.6 dated 2025-01-20

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New package flexFitR with initial version 1.0.0
Package: flexFitR
Title: Flexible Non-Linear Least Square Model Fitting
Version: 1.0.0
Maintainer: Johan Aparicio <aparicioarce@wisc.edu>
Description: Provides tools for flexible non-linear least squares model fitting using general-purpose optimization techniques. The package supports a variety of optimization algorithms, including those provided by the 'optimx' package, making it suitable for handling complex non-linear models. Features include parallel processing support via the 'future' and 'foreach' packages, comprehensive model diagnostics, and visualization capabilities. Implements methods described in Nash and Varadhan (2011, <doi:10.18637/jss.v043.i09>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Author: Johan Aparicio [cre, aut], Jeffrey Endelman [aut], University of Wisconsin Madison [cph]
Imports: agriutilities, doFuture, dplyr, foreach, future, ggplot2, numDeriv, optimx, progressr, rlang, subplex, tibble, tidyr
URL: https://apariciojohan.github.io/flexFitR/, https://github.com/AparicioJohan/flexFitR
BugReports: https://github.com/AparicioJohan/flexFitR/issues
Suggests: BB, dfoptim, ggpubr, kableExtra, knitr, lbfgsb3c, marqLevAlg, purrr, rmarkdown, ucminf
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-17 19:54:01 UTC; johan
Repository: CRAN
Date/Publication: 2025-01-20 17:01:56 UTC

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New package sysAgNPs with initial version 1.0.0
Package: sysAgNPs
Title: Systematic Quantification of AgNPs to Unleash their Potential for Applicability
Version: 1.0.0
Description: There is variation across AgNPs due to differences in characterization techniques and testing metrics employed in studies. To address this problem, we have developed a systematic evaluation framework called 'sysAgNPs'. Within this framework, Distribution Entropy (DE) is utilized to measure the uncertainty of feature categories of AgNPs, Proclivity Entropy (PE) assesses the preference of these categories, and Combination Entropy (CE) quantifies the uncertainty of feature combinations of AgNPs. Additionally, a Markov chain model is employed to examine the relationships among the sub-features of AgNPs and to determine a Transition Score (TS) scoring standard that is based on steady-state probabilities. The 'sysAgNPs' framework provides metrics for evaluating AgNPs, which helps to unravel their complexity and facilitates effective comparisons among different AgNPs, thereby advancing the scientific research and application of these AgNPs.
License: GPL (>= 3)
Language: en-US
Encoding: UTF-8
LazyData: true
URL: https://github.com/xitingwang-ida/sysAgNPs
Imports: dplyr, expm, ggplot2, ggpubr, magrittr, patchwork, purrr, rio, tibble, tidyr, rlang, RColorBrewer, forcats, stats
NeedsCompilation: no
Packaged: 2025-01-17 14:46:13 UTC; pc
Author: Xiting Wang [aut, cre] , Longfei Mao [aut, cph] , Jiamin Hu [ctb]
Maintainer: Xiting Wang <XitingWang2023@outlook.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-01-20 16:20:02 UTC

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New package SLOS with initial version 1.0.0
Package: SLOS
Title: ICU Length of Stay Prediction and Efficiency Evaluation
Version: 1.0.0
Maintainer: Joana da Matta <joana.damatta02@gmail.com>
Description: Provides tools for predicting ICU length of stay and assessing ICU efficiency. It is based on the methodologies proposed by Peres et al. (2022, 2023), which utilize data-driven approaches for modeling and validation, offering insights into ICU performance and patient outcomes. References: Peres et al. (2022)<https://pubmed.ncbi.nlm.nih.gov/35988701/>, Peres et al. (2023)<https://pubmed.ncbi.nlm.nih.gov/37922007/>. More information: <https://github.com/igor-peres/ICU-Length-of-Stay-Prediction>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, MLmetrics, ems, dplyr, ggplot2, magrittr, caretEnsemble, ranger
Suggests: testthat
NeedsCompilation: no
Packaged: 2025-01-17 12:12:52 UTC; jodamatta
Depends: R (>= 3.5.0)
Author: Igor Peres [aut], Joana da Matta [cre]
Repository: CRAN
Date/Publication: 2025-01-20 16:02:03 UTC

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New package rollupTree with initial version 0.1.0
Package: rollupTree
Title: Perform Recursive Computations
Version: 0.1.0
Description: Mass rollup for a Bill of Materials is an example of a class of computations in which elements are arranged in a tree structure and some property of each element is a computed function of the corresponding values of its child elements. Leaf elements, i.e., those with no children, have values assigned. In many cases, the combining function is simple arithmetic sum; in other cases (e.g., mass properties), the combiner may involve other information such as the geometric relationship between parent and child, or statistical relations such as root-sum-of-squares (RSS). This package implements a general function for such problems. It is adapted to specific recursive computations by functional programming techniques; the caller passes a function as the update parameter to rollup() (or, at a lower level, passes functions as the get, set, combine, and override parameters to update_prop()) at runtime to specify the desired operations. The implementation relies on graph-theoretic algorithms from [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: igraph
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://jsjuni.github.io/rollupTree/, https://github.com/jsjuni/rollupTree
BugReports: https://github.com/jsjuni/rollupTree/issues
NeedsCompilation: no
Packaged: 2025-01-17 14:40:46 UTC; sjenkins
Author: James Steven Jenkins [aut, cre, cph]
Maintainer: James Steven Jenkins <sjenkins@studioj.us>
Repository: CRAN
Date/Publication: 2025-01-20 16:20:05 UTC

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Package marquee updated to version 1.0.0 with previous version 0.1.0 dated 2024-05-28

Title: Markdown Parser and Renderer for R Graphics
Description: Provides the mean to parse and render markdown text with grid along with facilities to define the styling of the text.
Author: Thomas Lin Pedersen [aut, cre] , Martin Mitas [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between marquee versions 0.1.0 dated 2024-05-28 and 1.0.0 dated 2025-01-20

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New package gomp with initial version 1.0
Package: gomp
Title: The gamma-OMP Feature Selection Algorithm
Version: 1.0
Date: 2025-01-11
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: doParallel, foreach, Hmisc, MASS, nnet, ordinal, parallel, quantreg, Rfast, Rfast2, stats, survival
Suggests: dcorVS
Description: The gamma-Orthogonal Matching Pursuit (gamma-OMP) is a recently suggested modification of the OMP feature selection algorithm for a wide range of response variables. The package offers many alternative regression models, such linear, robust, survival, multivariate etc., including k-fold cross-validation. References: Tsagris M., Papadovasilakis Z., Lakiotaki K. and Tsamardinos I. (2018). "Efficient feature selection on gene expression data: Which algorithm to use?" BioRxiv. <doi:10.1101/431734>. Tsagris M., Papadovasilakis Z., Lakiotaki K. and Tsamardinos I. (2022). "The gamma-OMP algorithm for feature selection with application to gene expression data". IEEE/ACM Transactions on Computational Biology and Bioinformatics 19(2): 1214--1224. <doi:10.1109/TCBB.2020.3029952>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-01-11 11:49:10 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-01-20 16:02:00 UTC

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New package EHRmuse with initial version 0.0.2.0
Package: EHRmuse
Title: Multi-Cohort Selection Bias Correction using IPW and AIPW Methods
Version: 0.0.2.0
Description: Comprehensive toolkit for addressing selection bias in binary disease models across diverse non-probability samples, each with unique selection mechanisms. It utilizes Inverse Probability Weighting (IPW) and Augmented Inverse Probability Weighting (AIPW) methods to reduce selection bias effectively in multiple non-probability cohorts by integrating data from either individual-level or summary-level external sources. The package also provides a variety of variance estimation techniques. Please refer to Kundu et al. <doi:10.48550/arXiv.2412.00228>.
License: GPL (>= 2)
URL: https://github.com/Ritoban1/EHRmuse
BugReports: https://github.com/Ritoban1/EHRmuse/issues
Depends: R (>= 4.0.0)
Imports: dplyr (>= 1.0.0), magrittr, MASS, nleqslv (>= 3.3.2), xgboost (>= 1.4.1), survey (>= 4.1.0), stats, nnet (>= 7.3-17), simplexreg (>= 0.1.6)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-17 14:47:35 UTC; mk
Author: Ritoban Kundu [aut], Michael Kleinsasser [cre]
Maintainer: Michael Kleinsasser <biostat-cran-manager@umich.edu>
Repository: CRAN
Date/Publication: 2025-01-20 16:20:13 UTC

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New package ComBatFamQC with initial version 1.0.2
Package: ComBatFamQC
Title: Comprehensive Batch Effect Diagnostics and Harmonization
Version: 1.0.2
Description: Provides a comprehensive framework for batch effect diagnostics, harmonization, and post-harmonization downstream analysis. Features include interactive visualization tools, robust statistical tests, and a range of harmonization techniques. Additionally, 'ComBatFamQC' enables the creation of life-span age trend plots with estimated age-adjusted centiles and facilitates the generation of covariate-corrected residuals for analytical purposes. Methods for harmonization are based on approaches described in Johnson et al., (2007) <doi:10.1093/biostatistics/kxj037>, Beer et al., (2020) <doi:10.1016/j.neuroimage.2020.117129>, Pomponio et al., (2020) <doi:10.1016/j.neuroimage.2019.116450>, and Chen et al., (2021) <doi:10.1002/hbm.25688>.
License: MIT + file LICENSE
URL: https://github.com/Zheng206/ComBatFamQC, https://zheng206.github.io/ComBatQC-Web/
BugReports: https://github.com/Zheng206/ComBatFamQC/issues
Encoding: UTF-8
Imports: tidyr, dplyr, magrittr, ggplot2, DT, shiny, car, broom, pbkrtest, parallel, Rtsne, MDMR, gamlss, lme4, mgcv, bslib, shinydashboard, methods, gamlss.dist, invgamma, openxlsx
Depends: R (>= 3.5.0)
LazyData: true
Suggests: knitr, rmarkdown, devtools, testthat (>= 3.0.0), remotes, shinytest2, plotly, quarto, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-01-17 22:55:37 UTC; zhengren
Author: Zheng Ren [aut, cre, cph] , Andrew Chen [aut, cph] , Elizabeth Horwath [ctb]
Maintainer: Zheng Ren <zren1422@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-20 16:44:12 UTC

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New package CoDaLoMic with initial version 0.1.0
Package: CoDaLoMic
Title: Compositional Models to Longitudinal Microbiome Data
Version: 0.1.0
Author: Irene Creus Marti [aut, cre]
Maintainer: Irene Creus Marti <ircrmar@mat.upv.es>
Description: Implementation of models to analyse compositional microbiome time series taking into account the interaction between groups of bacteria. The models implemented are described in Creus-Martí et al (2018, ISBN:978-84-09-07541-6), Creus-Martí et al (2021) <doi:10.1155/2021/9951817> and Creus-Martí et al (2022) <doi:10.1155/2022/4907527>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: xtable, ggplot2, reshape2, compositions, MASS, broom, R2jags, ggbiplot, zCompositions
Suggests: testthat (>= 3.0.0), gtools, knitr, parallel, base
NeedsCompilation: no
Packaged: 2025-01-17 18:53:04 UTC; IRENE
Repository: CRAN
Date/Publication: 2025-01-20 16:44:16 UTC

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New package AMISforInfectiousDiseases with initial version 0.1.0
Package: AMISforInfectiousDiseases
Title: Implement the AMIS Algorithm for Infectious Disease Models
Version: 0.1.0
Description: Implements the Adaptive Multiple Importance Sampling (AMIS) algorithm, as described by Retkute et al. (2021, <doi:10.1214/21-AOAS1486>), to estimate key epidemiological parameters by combining outputs from a geostatistical model of infectious diseases (such as prevalence, incidence, or relative risk) with a disease transmission model. Utilising the resulting posterior distributions, the package enables forward projections at the local level.
Acknowledgements: This work was supported by the NTD Modelling Consortium grant INV-030046, funded by the Bill & Melinda Gates Foundation.
Encoding: UTF-8
Imports: Hmisc, mclust, mnormt, Rcpp, weights
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 4.1)
Suggests: knitr, ggplot2, patchwork, rmarkdown, sf, viridis
VignetteBuilder: knitr
URL: https://github.com/drsimonspencer/AMISforInfectiousDiseases-dev
BugReports: https://github.com/drsimonspencer/AMISforInfectiousDiseases-dev/issues
License: MIT + file LICENSE
NeedsCompilation: yes
Packaged: 2025-01-17 05:58:43 UTC; evandro
Author: Evandro Konzen [aut] , Renata Retkute [aut] , Raiha Browning [aut] , Thilbault Lestang [aut], Simon Spencer [aut, cre] , University of Warwick [cph], Oxford Research Software Engineering [cph]
Maintainer: Simon Spencer <s.e.f.spencer@warwick.ac.uk>
Repository: CRAN
Date/Publication: 2025-01-20 16:02:05 UTC

More information about AMISforInfectiousDiseases at CRAN
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New package admiralmetabolic with initial version 0.1.0
Package: admiralmetabolic
Title: Metabolism Extension Package for ADaM in 'R' Asset Library
Version: 0.1.0
Description: A toolbox for programming Clinical Data Standards Interchange Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>). The package is an extension package of the 'admiral' package focusing on the metabolism therapeutic area.
License: Apache License (>= 2)
URL: https://pharmaverse.github.io/admiralmetabolic/, https://github.com/pharmaverse/admiralmetabolic
BugReports: https://github.com/pharmaverse/admiralmetabolic/issues
Depends: R (>= 4.1)
Imports: admiral (>= 1.1.1), admiraldev (>= 1.0.0), cli (>= 3.6.2), dplyr (>= 0.8.4), stringr (>= 1.4.0), lifecycle (>= 0.1.0), lubridate (>= 1.7.4), magrittr (>= 1.5), purrr (>= 0.3.3), rlang (>= 0.4.4), tidyselect (>= 1.0.0)
Suggests: diffdf, DT, htmltools, knitr, methods, pharmaversesdtm (>= 1.0.0), rmarkdown, testthat (>= 3.0.0), tibble, usethis (>= 2.2.3)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-17 13:57:46 UTC; IAKD
Author: Anders Askeland [aut, cre] , Andrii Yurovskyi [aut] , Kathrin Flunkert [aut], Edoardo Mancini [aut] , Shunsuke Goto [aut], Siddhesh Pujari [aut] , Sonali Das [aut], Olga Starostecka [aut], Vang Le-Quy [aut]
Maintainer: Anders Askeland <iakd@novonordisk.com>
Repository: CRAN
Date/Publication: 2025-01-20 16:20:09 UTC

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Package BOJ (with last version 0.3.4) was removed from CRAN

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

2025-01-19 0.3.4
2022-01-04 0.3
2021-12-11 0.2.4
2021-02-23 0.2.3
2020-05-25 0.2.2

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Package relsurv updated to version 2.3-1 with previous version 2.2-9 dated 2022-12-22

Title: Relative Survival
Description: Contains functions for analysing relative survival data, including nonparametric estimators of net (marginal relative) survival, relative survival ratio, crude mortality, methods for fitting and checking additive and multiplicative regression models, transformation approach, methods for dealing with population mortality tables. Work has been described in Pohar Perme, Pavlic (2018) <doi:10.18637/jss.v087.i08>.
Author: Maja Pohar Perme [aut], Damjan Manevski [aut, cre]
Maintainer: Damjan Manevski <damjan.manevski@mf.uni-lj.si>

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Package AccelStab updated to version 2.1.1 with previous version 2.1.0 dated 2025-01-08

Title: Accelerated Stability Kinetic Modelling
Description: Estimate the Šesták–Berggren kinetic model (degradation model) from experimental data. A A closed-form (analytic) solution to the degradation model is implemented as a non-linear fit, allowing for the extrapolation of the degradation of a drug product - both in time and temperature. Parametric bootstrap, with kinetic parameters drawn from the multivariate t-distribution, and analytical formulae (the delta method) are available options to calculate the confidence and prediction intervals. The results (modelling, extrapolations and statistical intervals) can be visualised with multiple plots. The examples illustrate the accelerated stability modelling in drugs and vaccines development.
Author: Bernard G Franq [aut, cph], Ben Wells [cre], Alex Ball [ctb], Daniel Williams [ctb]
Maintainer: Ben Wells <wellsbenjy@gmail.com>

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Package TSVC updated to version 1.7.2 with previous version 1.5.3 dated 2023-10-17

Title: Tree-Structured Modelling of Varying Coefficients
Description: Fitting tree-structured varying coefficient models (Berger et al. (2019), <doi:10.1007/s11222-018-9804-8>). Simultaneous detection of covariates with varying coefficients and effect modifiers that induce varying coefficients if they are present.
Author: Moritz Berger [aut, cre]
Maintainer: Moritz Berger <moritz.berger@imbie.uni-bonn.de>

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Package modsem updated to version 1.0.6 with previous version 1.0.5 dated 2024-12-16

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) (temporarily unavailable) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via 'modsem' it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8. [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre] , Mehmet Mehmetoglu [ctb] , Matthias Mittner [ctb]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

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Package flowchart updated to version 0.7.0 with previous version 0.6.0 dated 2024-11-08

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

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Package laminr updated to version 0.4.0 with previous version 0.3.1 dated 2025-01-08

Title: Client for 'LaminDB'
Description: Interact with 'LaminDB'. 'LaminDB' is an open-source data framework for biology. This package allows you to query and download data from 'LaminDB' instances.
Author: Robrecht Cannoodt [aut, cre] , Luke Zappia [aut] , Data Intuitive [aut], Lamin Labs [aut, cph]
Maintainer: Robrecht Cannoodt <robrecht@data-intuitive.com>

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Package diemr updated to version 1.4.3 with previous version 1.4.2 dated 2024-12-02

Title: Diagnostic Index Expectation Maximisation in R
Description: Likelihood-based genome polarisation finds which alleles of genomic markers belong to which side of the barrier. Co-estimates which individuals belong to either side of the barrier and barrier strength. Uses expectation maximisation in likelihood framework. The method is described in Baird et al. (2023) <doi:10.1111/2041-210X.14010>.
Author: Natalia Martinkova [aut, cre] , Stuart Baird [aut]
Maintainer: Natalia Martinkova <martinkova@ivb.cz>

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Package arealDB updated to version 0.9.4 with previous version 0.6.3 dated 2023-07-03

Title: Harmonise and Integrate Heterogeneous Areal Data
Description: Many relevant applications in the environmental and socioeconomic sciences use areal data, such as biodiversity checklists, agricultural statistics, or socioeconomic surveys. For applications that surpass the spatial, temporal or thematic scope of any single data source, data must be integrated from several heterogeneous sources. Inconsistent concepts, definitions, or messy data tables make this a tedious and error-prone process. 'arealDB' tackles those problems and helps the user to integrate a harmonised databases of areal data. Read the paper at Ehrmann, Seppelt & Meyer (2020) <doi:10.1016/j.envsoft.2020.104799>.
Author: Steffen Ehrmann [aut, cre] , Arne Ruemmler [aut, ctb] , Felipe Melges [ctb] , Carsten Meyer [aut]
Maintainer: Steffen Ehrmann <steffen.ehrmann@posteo.de>

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Package spdep updated to version 1.3-10 with previous version 1.3-9 dated 2025-01-16

Title: Spatial Dependence: Weighting Schemes, Statistics
Description: A collection of functions to create spatial weights matrix objects from polygon 'contiguities', from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial 'autocorrelation', including global 'Morans I' and 'Gearys C' proposed by 'Cliff' and 'Ord' (1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel' general cross product statistic, Empirical Bayes estimates and 'Assunção/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured join count statistics, 'APLE' ('Li 'et al.' ) <doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I', 'Gearys C' ('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and 'Getis/Ord' G ('Ord' and 'Getis' 1995) < [...truncated...]
Author: Roger Bivand [cre, aut] , Micah Altman [ctb], Luc Anselin [ctb], Renato Assuncao [ctb], Anil Bera [ctb], Olaf Berke [ctb], F. Guillaume Blanchet [ctb], Marilia Carvalho [ctb], Bjarke Christensen [ctb], Yongwan Chun [ctb], Carsten Dormann [ctb], Steph [...truncated...]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package anticlust updated to version 0.8.9-1 with previous version 0.8.9 dated 2025-01-17

Title: Subset Partitioning via Anticlustering
Description: The method of anticlustering partitions a pool of elements into groups (i.e., anticlusters) with the goal of maximizing between-group similarity or within-group heterogeneity. The anticlustering approach thereby reverses the logic of cluster analysis that strives for high within-group homogeneity and clear separation between groups. Computationally, anticlustering is accomplished by maximizing instead of minimizing a clustering objective function, such as the intra-cluster variance (used in k-means clustering) or the sum of pairwise distances within clusters. The main function anticlustering() gives access to optimal and heuristic anticlustering methods described in Papenberg and Klau (2021; <doi:10.1037/met0000301>), Brusco et al. (2020; <doi:10.1111/bmsp.12186>), and Papenberg (2024; <doi:10.1111/bmsp.12315>). The optimal algorithms require that an integer linear programming solver is installed. This package will install 'lpSolve' (<https://cran.r-project.org/p [...truncated...]
Author: Martin Papenberg [aut, cre] , Meik Michalke [ctb] , Gunnar W. Klau [ths], Juliane V. Nagel [ctb] , Martin Breuer [ctb] , Marie L. Schaper [ctb] , Max Diekhoff [ctb] , Hannah Hengelbrock [ctb]
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>

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Package spNetwork updated to version 0.4.4.5 with previous version 0.4.4.4 dated 2025-01-14

Title: Spatial Analysis on Network
Description: Perform spatial analysis on network. Implement several methods for spatial analysis on network: Network Kernel Density estimation, building of spatial matrices based on network distance ('listw' objects from 'spdep' package), K functions estimation for point pattern analysis on network, k nearest neighbours on network, reachable area calculation, and graph generation References: Okabe et al (2019) <doi:10.1080/13658810802475491>; Okabe et al (2012, ISBN:978-0470770818);Baddeley et al (2015, ISBN:9781482210200).
Author: Jeremy Gelb [aut, cre] , Philippe Apparicio [ctb]
Maintainer: Jeremy Gelb <jeremy.gelb@ucs.inrs.ca>

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Package metRology updated to version 0.9-29-2 with previous version 0.9-28-1 dated 2018-09-10

Title: Support for Metrological Applications
Description: Provides classes and calculation and plotting functions for metrology applications, including measurement uncertainty estimation and inter-laboratory metrology comparison studies.
Author: Stephen L R Ellison. [aut], Stephen L R Ellison [cre]
Maintainer: Stephen L R Ellison <s.ellison@lgcgroup.com>

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Package kstIO updated to version 0.4-1 with previous version 0.4-0 dated 2023-01-26

Title: Knowledge Space Theory Input/Output
Description: Knowledge space theory by Doignon and Falmagne (1999) <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The 'kstIO' package provides basic functionalities to read and write KST data from/to files to be used together with the 'kst', 'kstMatrix', 'CDSS', 'pks', or 'DAKS' packages.
Author: Cord Hockemeyer [aut, cre]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

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Package ecic updated to version 0.0.4 with previous version 0.0.3 dated 2023-02-21

Title: Extended Changes-in-Changes
Description: Extends the Changes-in-Changes model a la Athey and Imbens (2006) <doi:10.1111/j.1468-0262.2006.00668.x> to multiple cohorts and time periods, which generalizes difference-in-differences estimation techniques to the entire distribution. Computes quantile treatment effects for every possible two-by-two combination in ecic(). Then, aggregating all bootstrap runs adds the standard errors in summary_ecic(). Results can be plotted with plot_ecic() aggregated over all cohort-group combinations or in an event-study style for either individual periods or individual quantiles.
Author: Frederic Kluser [aut, cre, cph]
Maintainer: Frederic Kluser <frederic.kluser@unibe.ch>

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Package atrrr updated to version 0.1.0 with previous version 0.0.5 dated 2025-01-19

Title: Wrapper for the 'AT' Protocol Behind 'Bluesky'
Description: Wraps the 'AT' Protocol (Authenticated Transfer Protocol) behind 'Bluesky' <https://bsky.social>. Functions can be used for, among others, retrieving posts and followers from the network or posting content.
Author: Johannes B. Gruber [aut, cre] , Benjamin Guinaudeau [aut, ctb] , Fabio Votta [aut, ctb]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>

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Package textshaping updated to version 1.0.0 with previous version 0.4.1 dated 2024-12-06

Title: Bindings to the 'HarfBuzz' and 'Fribidi' Libraries for Text Shaping
Description: Provides access to the text shaping functionality in the 'HarfBuzz' library and the bidirectional algorithm in the 'Fribidi' library. 'textshaping' is a low-level utility package mainly for graphic devices that expands upon the font tool-set provided by the 'systemfonts' package.
Author: Thomas Lin Pedersen [cre, aut] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package systemfonts updated to version 1.2.1 with previous version 1.2.0 dated 2025-01-16

Title: System Native Font Finding
Description: Provides system native access to the font catalogue. As font handling varies between systems it is difficult to correctly locate installed fonts across different operating systems. The 'systemfonts' package provides bindings to the native libraries on Windows, macOS and Linux for finding font files that can then be used further by e.g. graphic devices. The main use is intended to be from compiled code but 'systemfonts' also provides access from R.
Author: Thomas Lin Pedersen [aut, cre] , Jeroen Ooms [aut] , Devon Govett [aut] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package hdf5r updated to version 1.3.12 with previous version 1.3.11 dated 2024-07-07

Title: Interface to the 'HDF5' Binary Data Format
Description: 'HDF5' is a data model, library and file format for storing and managing large amounts of data. This package provides a nearly feature complete, object oriented wrapper for the 'HDF5' API <https://support.hdfgroup.org/documentation/hdf5/latest/_r_m.html> using R6 classes. Additionally, functionality is added so that 'HDF5' objects behave very similar to their corresponding R counterparts.
Author: Holger Hoefling [aut, cre], Mario Annau [aut], Novartis Institute for BioMedical Research [cph]
Maintainer: Holger Hoefling <hhoeflin@gmail.com>

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Package ggeffects updated to version 2.1.0 with previous version 2.0.0 dated 2024-11-27

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Description: Compute marginal effects and adjusted predictions from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Effects and predictions can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.
Author: Daniel Luedecke [aut, cre] , Frederik Aust [ctb] , Sam Crawley [ctb] , Mattan S. Ben-Shachar [ctb] , Sean C. Anderson [ctb]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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 ggeffects-2.1.0/ggeffects/R/sanitize_type_arg.R                          |   93 +++--
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Package babelmixr2 updated to version 0.1.6 with previous version 0.1.5 dated 2024-11-06

Title: Use 'nlmixr2' to Interact with Open Source and Commercial Software
Description: Run other estimation and simulation software via the 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>) interface including 'PKNCA', 'NONMEM' and 'Monolix'. While not required, you can get/install the 'lixoftConnectors' package in the 'Monolix' installation, as described at the following url <https://monolixsuite.slp-software.com/r-functions/2024R1/installation-and-initialization>. When 'lixoftConnectors' is available, 'Monolix' can be run directly instead of setting up command line usage.
Author: Matthew Fidler [aut, cre] , Bill Denney [aut] , Theodoros Papathanasiou [ctb], Nook Fulloption [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between babelmixr2 versions 0.1.5 dated 2024-11-06 and 0.1.6 dated 2025-01-20

 babelmixr2-0.1.5/babelmixr2/tests/testthat/_snaps        |only
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 babelmixr2-0.1.6/babelmixr2/NEWS.md                      |   11 +++
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 babelmixr2-0.1.6/babelmixr2/R/nonmem.R                   |    4 -
 babelmixr2-0.1.6/babelmixr2/R/nonmemNlmixr2est.R         |    1 
 babelmixr2-0.1.6/babelmixr2/R/poped.R                    |   16 ++++
 babelmixr2-0.1.6/babelmixr2/R/zzz.R                      |    1 
 babelmixr2-0.1.6/babelmixr2/inst/tools/workaround.R      |   24 +++---
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 babelmixr2-0.1.6/babelmixr2/src/RcppExports.cpp          |   10 ++
 babelmixr2-0.1.6/babelmixr2/src/init.c                   |    3 
 babelmixr2-0.1.6/babelmixr2/src/poped.cpp                |   52 ++++++++++++++
 babelmixr2-0.1.6/babelmixr2/tests/testthat/test-nonmem.R |   54 +++++++++++++++
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Package gpboost updated to version 1.5.5.1 with previous version 1.5.5 dated 2024-12-20

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 1.5.5 dated 2024-12-20 and 1.5.5.1 dated 2025-01-20

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 R/GPModel.R                                     |    2 
 configure.ac                                    |    2 
 src/include/GPBoost/cov_fcts.h                  |  358 +++++++++++++++++-------
 src/include/GPBoost/likelihoods.h               |  120 ++++----
 src/include/GPBoost/optim_utils.h               |    4 
 src/include/GPBoost/re_model_template.h         |   24 -
 src/include/GPBoost/utils.h                     |   74 ++++
 tests/testthat/test_GPModel_gaussian_process.R  |   24 +
 tests/testthat/test_GPModel_non_Gaussian_data.R |  104 ++++--
 11 files changed, 530 insertions(+), 210 deletions(-)

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