Fri, 25 Oct 2024

Package sisal updated to version 0.49 with previous version 0.48 dated 2020-02-15

Title: Sequential Input Selection Algorithm
Description: Implements the SISAL algorithm by Tikka and Hollmén. It is a sequential backward selection algorithm which uses a linear model in a cross-validation setting. Starting from the full model, one variable at a time is removed based on the regression coefficients. From this set of models, a parsimonious (sparse) model is found by choosing the model with the smallest number of variables among those models where the validation error is smaller than a threshold. Also implements extensions which explore larger parts of the search space and/or use ridge regression instead of ordinary least squares.
Author: Mikko Korpela [aut, cre]
Maintainer: Mikko Korpela <mvkorpel@iki.fi>

Diff between sisal versions 0.48 dated 2020-02-15 and 0.49 dated 2024-10-25

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Package Xcertainty updated to version 1.0.1 with previous version 1.0.0 dated 2024-10-21

Title: Estimating Lengths and Uncertainty from Photogrammetric Imagery
Description: Implementation of Bayesian models for estimating object lengths and morphological relationships between object lengths using photographic data collected from drones. The Bayesian model is described in "Bayesian approach for predicting photogrammetric uncertainty in morphometric measurements derived from drones" (Bierlich et al., 2021, <doi:10.3354/meps13814>).
Author: Joshua Hewitt [aut], K.C. Bierlich [aut, cre], Enrico Pirotta [aut]
Maintainer: K.C. Bierlich <bierlick@oregonstate.edu>

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Package immunaut updated to version 1.0.1 with previous version 1.0.0 dated 2024-10-25

Title: Machine Learning Immunogenicity and Vaccine Response Analysis
Description: Used for analyzing immune responses and predicting vaccine efficacy using machine learning and advanced data processing techniques. 'Immunaut' integrates both unsupervised and supervised learning methods, managing outliers and capturing immune response variability. It performs multiple rounds of predictive model testing to identify robust immunogenicity signatures that can predict vaccine responsiveness. The platform is designed to handle high-dimensional immune data, enabling researchers to uncover immune predictors and refine personalized vaccination strategies across diverse populations.
Author: Ivan Tomic [aut, cre, cph] , Adriana Tomic [aut, ctb, cph, fnd] , Stephanie Hao [aut]
Maintainer: Ivan Tomic <info@ivantomic.com>

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Package deeptime updated to version 2.1.0 with previous version 2.0.0 dated 2024-08-19

Title: Plotting Tools for Anyone Working in Deep Time
Description: Extends the functionality of other plotting packages (notably 'ggplot2') to help facilitate the plotting of data over long time intervals, including, but not limited to, geological, evolutionary, and ecological data. The primary goal of 'deeptime' is to enable users to add highly customizable timescales to their visualizations. Other functions are also included to assist with other areas of deep time visualization.
Author: William Gearty [aut, cre]
Maintainer: William Gearty <willgearty@gmail.com>

Diff between deeptime versions 2.0.0 dated 2024-08-19 and 2.1.0 dated 2024-10-25

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Package abima updated to version 1.1 with previous version 1.0 dated 2024-10-25

Title: Adaptive Bootstrap Inference for Mediation Analysis with Enhanced Statistical Power
Description: Assess whether and how a specific continuous or categorical exposure affects the outcome of interest through one- or multi-dimensional mediators using an adaptive bootstrap (AB) approach. The AB method allows to make inference for composite null hypotheses of no mediation effect, providing valid type I error control and thus optimizes statistical power. For more technical details, refer to He, Song and Xu (2024) <doi:10.1093/jrsssb/qkad129>.
Author: Canyi Chen [aut, cre] , Yinqiu He [aut], Gongjun Xu [aut], Peter X.-K. Song [aut, cph]
Maintainer: Canyi Chen <cychen.stats@outlook.com>

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Package nonmemica updated to version 1.0.11 with previous version 1.0.8 dated 2023-09-20

Title: Create and Evaluate NONMEM Models in a Project Context
Description: Systematically creates and modifies NONMEM(R) control streams. Harvests NONMEM output, builds run logs, creates derivative data, generates diagnostics. NONMEM (ICON Development Solutions <https://www.iconplc.com/>) is software for nonlinear mixed effects modeling. See 'package?nonmemica'.
Author: Tim Bergsma [aut, cre]
Maintainer: Tim Bergsma <bergsmat@gmail.com>

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Package tablet updated to version 0.6.11 with previous version 0.6.8 dated 2024-03-29

Title: Tabulate Descriptive Statistics in Multiple Formats
Description: Creates a table of descriptive statistics for factor and numeric columns in a data frame. Displays these by groups, if any. Highly customizable, with support for 'html' and 'pdf' provided by 'kableExtra'. Respects original column order, column labels, and factor level order. See ?tablet.data.frame and vignettes.
Author: Tim Bergsma [aut, cre]
Maintainer: Tim Bergsma <bergsmat@gmail.com>

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Package GeoModels updated to version 2.0.7 with previous version 2.0.6 dated 2024-10-07

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. Se [...truncated...]
Author: Moreno Bevilacqua [aut, cre] , Victor Morales-Onate [aut] , Christian Caamano-Carrillo [aut]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

Diff between GeoModels versions 2.0.6 dated 2024-10-07 and 2.0.7 dated 2024-10-25

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Package plater updated to version 1.0.5 with previous version 1.0.4 dated 2022-02-11

Title: Read, Tidy, and Display Data from Microtiter Plates
Description: Tools for interacting with data from experiments done in microtiter plates. Easily read in plate-shaped data and convert it to tidy format, combine plate-shaped data with tidy data, and view tidy data in plate shape.
Author: Sean Hughes [aut, cre]
Maintainer: Sean Hughes <smhughes@uw.edu>

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Package mlr3learners updated to version 0.8.0 with previous version 0.7.0 dated 2024-06-28

Title: Recommended Learners for 'mlr3'
Description: Recommended Learners for 'mlr3'. Extends 'mlr3' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting.
Author: Michel Lang [aut] , Quay Au [aut] , Stefan Coors [aut] , Patrick Schratz [aut] , Marc Becker [cre, aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package mlr3fselect updated to version 1.2.0 with previous version 1.1.1 dated 2024-10-15

Title: Feature Selection for 'mlr3'
Description: Feature selection package of the 'mlr3' ecosystem. It selects the optimal feature set for any 'mlr3' learner. The package works with several optimization algorithms e.g. Random Search, Recursive Feature Elimination, and Genetic Search. Moreover, it can automatically optimize learners and estimate the performance of optimized feature sets with nested resampling.
Author: Marc Becker [aut, cre] , Patrick Schratz [aut] , Michel Lang [aut] , Bernd Bischl [aut] , John Zobolas [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package tr.iatgen updated to version 1.1.0 with previous version 1.0.0 dated 2024-02-07

Title: Translate 'iatgen' Generated QSF Files
Description: Automates translating the instructions of 'iatgen' generated qsf (Qualtrics survey files) to other languages using either officially supported or user-supplied translations (for tutorial see Santos et al., 2023 <doi:10.17504/protocols.io.kxygx34jdg8j/v1>).
Author: Michal Kouril [aut, cre] , Joao O. Santos [aut]
Maintainer: Michal Kouril <Michal.Kouril@cchmc.org>

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Package slider updated to version 0.3.2 with previous version 0.3.1 dated 2023-10-12

Title: Sliding Window Functions
Description: Provides type-stable rolling window functions over any R data type. Cumulative and expanding windows are also supported. For more advanced usage, an index can be used as a secondary vector that defines how sliding windows are to be created.
Author: Davis Vaughan [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

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Package finnts updated to version 0.5.0 with previous version 0.4.0 dated 2023-12-01

Title: Microsoft Finance Time Series Forecasting Framework
Description: Automated time series forecasting developed by Microsoft Finance. The Microsoft Finance Time Series Forecasting Framework, aka Finn, can be used to forecast any component of the income statement, balance sheet, or any other area of interest by finance. Any numerical quantity over time, Finn can be used to forecast it. While it can be applied outside of the finance domain, Finn was built to meet the needs of financial analysts to better forecast their businesses within a company, and has a lot of built in features that are specific to the needs of financial forecasters. Happy forecasting!
Author: Mike Tokic [aut, cre] , Aadharsh Kannan [aut]
Maintainer: Mike Tokic <mftokic@gmail.com>

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Package checked updated to version 0.2.4 with previous version 0.2.0 dated 2024-07-25

Title: Systematically Run R CMD Checks
Description: Systematically Run R checks against multiple packages. Checks are run in parallel with strategies to minimize dependency installation. Provides out of the box interface for running reverse dependency check.
Author: Szymon Maksymiuk [cre, aut] , Doug Kelkhoff [aut] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Szymon Maksymiuk <sz.maksymiuk@gmail.com>

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Package ami updated to version 0.2.0 with previous version 0.1.1 dated 2024-06-16

Title: Checks for Various Computing Environments
Description: A collection of lightweight functions that can be used to determine the computing environment in which your code is running. This includes operating systems, continuous integration (CI) environments, containers, and more.
Author: Brian Connelly [aut, cre, cph] , Mark Padgham [ctb] , Lluis Revilla Sancho [ctb]
Maintainer: Brian Connelly <bdc@bconnelly.net>

Diff between ami versions 0.1.1 dated 2024-06-16 and 0.2.0 dated 2024-10-25

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Package ntdr updated to version 0.4.0 with previous version 0.3.4 dated 2024-04-04

Title: Retrieve Data from the National Transit Database
Description: Downloads the latest 'National Transit Database' data, processes it, and returns in a tidy data format.
Author: Harald Kliems [cre, aut, cph] , Eli Pousson [ctb]
Maintainer: Harald Kliems <kliems@gmail.com>

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Package gtable updated to version 0.3.6 with previous version 0.3.5 dated 2024-04-22

Title: Arrange 'Grobs' in Tables
Description: Tools to make it easier to work with "tables" of 'grobs'. The 'gtable' package defines a 'gtable' grob class that specifies a grid along with a list of grobs and their placement in the grid. Further the package makes it easy to manipulate and combine 'gtable' objects so that complex compositions can be built up sequentially.
Author: Hadley Wickham [aut], Thomas Lin Pedersen [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package BAMBI updated to version 2.3.6 with previous version 2.3.5 dated 2023-03-08

Title: Bivariate Angular Mixture Models
Description: Fit (using Bayesian methods) and simulate mixtures of univariate and bivariate angular distributions. Chakraborty and Wong (2021) <doi:10.18637/jss.v099.i11>.
Author: Saptarshi Chakraborty [aut, cre], Samuel W.K. Wong [aut]
Maintainer: Saptarshi Chakraborty <chakra.saptarshi@gmail.com>

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Package segmented updated to version 2.1-3 with previous version 2.1-2 dated 2024-09-05

Title: Regression Models with Break-Points / Change-Points Estimation (with Possibly Random Effects)
Description: Fitting regression models where, in addition to possible linear terms, one or more covariates have segmented (i.e., broken-line or piece-wise linear) or stepmented (i.e. piece-wise constant) effects. Multiple breakpoints for the same variable are allowed. The estimation method is discussed in Muggeo (2003, <doi:10.1002/sim.1545>) and illustrated in Muggeo (2008, <https://www.r-project.org/doc/Rnews/Rnews_2008-1.pdf>). An approach for hypothesis testing is presented in Muggeo (2016, <doi:10.1080/00949655.2016.1149855>), and interval estimation for the breakpoint is discussed in Muggeo (2017, <doi:10.1111/anzs.12200>). Segmented mixed models, i.e. random effects in the change point, are discussed in Muggeo (2014, <doi:10.1177/1471082X13504721>). Estimation of piecewise-constant relationships and changepoints (mean-shift models) is discussed in Fasola et al. (2018, <doi:10.1007/s00180-017-0740-4>).
Author: Vito M. R. Muggeo [aut, cre]
Maintainer: Vito M. R. Muggeo <vito.muggeo@unipa.it>

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Package rtgstat updated to version 0.3.4 with previous version 0.3.2 dated 2022-08-12

Title: Client for 'TGStat API'
Description: Allow function for using 'TGStat Stat API' and 'TGStat Search API', for more details see <https://api.tgstat.ru/docs/ru/start/intro.html>. 'TGStat' provide telegram channel analytics data.
Author: Alexey Seleznev [aut, cre]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package GGIRread updated to version 1.0.2 with previous version 1.0.1 dated 2024-06-03

Title: Wearable Accelerometer Data File Readers
Description: Reads data collected from wearable acceleratometers as used in sleep and physical activity research. Currently supports file formats: binary data from 'GENEActiv' <https://activinsights.com/>, .bin-format from GENEA devices (not for sale), and .cwa-format from 'Axivity' <https://axivity.com>. Further, it has functions for reading text files with epoch level aggregates from 'Actical', 'Fitbit', 'Actiwatch', 'ActiGraph', and 'PhilipsHealthBand'. Primarily designed to complement R package GGIR <https://CRAN.R-project.org/package=GGIR>.
Author: Vincent T van Hees [aut, cre], Patrick Bos [aut] , Lena Kushleyeva [ctb], Jing Hua Zhao [ctb], Evgeny Mirkes [ctb], Dan Jackson [ctb], Jairo H Migueles [ctb], Medical Research Council UK [cph, fnd], Accelting [cph, fnd]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

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Package SuperCell updated to version 1.0.1 with previous version 1.0 dated 2024-09-05

Title: Simplification of scRNA-Seq Data by Merging Together Similar Cells
Description: Aggregates large single-cell data into metacell dataset by merging together gene expression of very similar cells. 'SuperCell' uses 'velocyto.R' <doi:10.1038/s41586-018-0414-6> <https://github.com/velocyto-team/velocyto.R> for RNA velocity. We also recommend installing 'scater' Bioconductor package <doi:10.18129/B9.bioc.scater> <https://bioconductor.org/packages/release/bioc/html/scater.html>.
Author: Mariia Bilous [aut], Leonard Herault [cre]
Maintainer: Leonard Herault <leonard.herault@unil.ch>

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Package GofCens updated to version 1.2 with previous version 1.1 dated 2024-07-29

Title: Goodness-of-Fit Methods for Complete and Right-Censored Data
Description: Graphical tools and goodness-of-fit tests for complete and right-censored data: 1. Kolmogorov-Smirnov, Cramér-von Mises, and Anderson-Darling tests, which use the empirical distribution function for complete data and are extended for right-censored data. 2. Generalized chi-squared-type test, which is based on the squared differences between observed and expected counts using random cells with right-censored data. 3. A series of graphical tools such as probability or cumulative hazard plots to guide the decision about the most suitable parametric model for the data.
Author: Klaus Langohr [aut, cre], Mireia Besalu [aut], Matilde Francisco [aut], Arnau Garcia [aut], Guadalupe Gomez [aut]
Maintainer: Klaus Langohr <klaus.langohr@upc.edu>

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Package BayesMultiMode updated to version 0.7.2 with previous version 0.7.1 dated 2024-03-21

Title: Bayesian Mode Inference
Description: A two-step Bayesian approach for mode inference following Cross, Hoogerheide, Labonne and van Dijk (2024) <doi:10.1016/j.econlet.2024.111579>). First, a mixture distribution is fitted on the data using a sparse finite mixture (SFM) Markov chain Monte Carlo (MCMC) algorithm. The number of mixture components does not have to be known; the size of the mixture is estimated endogenously through the SFM approach. Second, the modes of the estimated mixture at each MCMC draw are retrieved using algorithms specifically tailored for mode detection. These estimates are then used to construct posterior probabilities for the number of modes, their locations and uncertainties, providing a powerful tool for mode inference.
Author: Nalan Bastuerk [aut], Jamie Cross [aut], Peter de Knijff [aut], Lennart Hoogerheide [aut], Paul Labonne [aut, cre], Herman van Dijk [aut]
Maintainer: Paul Labonne <labonnepaul@gmail.com>

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Package gMOIP updated to version 1.5.4 with previous version 1.5.3 dated 2024-10-09

Title: Tools for 2D and 3D Plots of Single and Multi-Objective Linear/Integer Programming Models
Description: Make 2D and 3D plots of linear programming (LP), integer linear programming (ILP), or mixed integer linear programming (MILP) models with up to three objectives. Plots of both the solution and criterion space are possible. For instance the non-dominated (Pareto) set for bi-objective LP/ILP/MILP programming models (see vignettes for an overview). The package also contains an function for checking if a point is inside the convex hull.
Author: Lars Relund Nielsen [aut, cre]
Maintainer: Lars Relund Nielsen <lars@relund.dk>

Diff between gMOIP versions 1.5.3 dated 2024-10-09 and 1.5.4 dated 2024-10-25

 DESCRIPTION                       |    8 +++---
 MD5                               |   20 ++++++++---------
 NEWS.md                           |    4 +++
 R/ndset.R                         |    2 -
 build/vignette.rds                |binary
 inst/doc/bi-objective_2x.html     |   34 ++++++++++++++---------------
 inst/doc/bi-objective_3x_ex1.html |   36 +++++++++++++++----------------
 inst/doc/intro.html               |   36 +++++++++++++++----------------
 inst/doc/polytope_2d.html         |    4 +--
 inst/doc/polytope_3d_ex1.html     |   44 +++++++++++++++++++-------------------
 inst/doc/tri-objective.html       |   24 ++++++++++----------
 11 files changed, 108 insertions(+), 104 deletions(-)

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Package bbotk updated to version 1.2.0 with previous version 1.1.1 dated 2024-10-15

Title: Black-Box Optimization Toolkit
Description: Features highly configurable search spaces via the 'paradox' package and optimizes every user-defined objective function. The package includes several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). bbotk is the base package of 'mlr3tuning', 'mlr3fselect' and 'miesmuschel'.
Author: Marc Becker [cre, aut] , Jakob Richter [aut] , Michel Lang [aut] , Bernd Bischl [aut] , Martin Binder [aut], Olaf Mersmann [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between bbotk versions 1.1.1 dated 2024-10-15 and 1.2.0 dated 2024-10-25

 DESCRIPTION                         |    6 +++---
 MD5                                 |   34 +++++++++++++++++-----------------
 NEWS.md                             |    7 +++++++
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 18 files changed, 114 insertions(+), 37 deletions(-)

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New package UnplanSimon with initial version 0.1.0
Package: UnplanSimon
Title: Methods for Managing Enrollment Deviation in Simon's Two-Stage Design
Version: 0.1.0
Maintainer: Yunhe Liu <yunhe.liu@tamu.edu>
Description: Methods for managing under- and over-enrollment in Simon's Two-Stage Design are offered by providing adaptive threshold adjustments and sample size recalibration. It also includes post-inference analysis tools to support clinical trial design and evaluation. The package is designed to enhance flexibility and accuracy in trial design, ensuring better outcomes in oncology and other clinical studies. Yunhe Liu, Haitao Pan (2024). Submitted.
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, clinfun (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-24 15:10:03 UTC; iad
Author: Yunhe Liu [aut, cre], Haitao Pan [aut]
Repository: CRAN
Date/Publication: 2024-10-25 09:10:06 UTC

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New package spBPS with initial version 0.0-4
Package: spBPS
Title: Bayesian Predictive Stacking for Scalable Geospatial Transfer Learning
Version: 0.0-4
Maintainer: Luca Presicce <l.presicce@campus.unimib.it>
Author: Luca Presicce [aut, cre] , Sudipto Banerjee [aut]
Description: Provides functions for Bayesian Predictive Stacking within the Bayesian transfer learning framework for geospatial artificial systems, as introduced in "Bayesian Transfer Learning for Artificially Intelligent Geospatial Systems: A Predictive Stacking Approach" (Presicce and Banerjee, 2024) <doi:10.48550/arXiv.2410.09504>. This methodology enables efficient Bayesian geostatistical modeling, utilizing predictive stacking to improve inference across spatial datasets. The core functions leverage 'C++' for high-performance computation, making the framework well-suited for large-scale spatial data analysis in parallel and distributed computing environments. Designed for scalability, it allows seamless application in computationally demanding scenarios.
Depends: R (>= 1.8.0)
Imports: Rcpp, CVXR, mniw
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, mvnfast, foreach, parallel, doParallel, tictoc, MBA, RColorBrewer, classInt, sp, fields, testthat (>= 3.0.0)
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-10-24 16:20:38 UTC; presi
Repository: CRAN
Date/Publication: 2024-10-25 09:20:01 UTC

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New package minired with initial version 1.0.0
Package: minired
Title: R Interface to 'Redatam' Library
Version: 1.0.0
Date: 2024-10-10
Maintainer: Jaime Salvador <jaime.salvador@ideasybits.com>
Description: Provides an API to work with 'Redatam' (see <https://www.redatam.org>) databases in both formats: 'RXDB' (new format) and 'DICX' (old format) and running 'Redatam' programs written in 'SPC' language. It's a wrapper around 'Redatam' core and provides functions to open a database ('redatam_open()'), list entities and variables from the database ('redatam_entities()', 'redatam_variables()') and execute a 'SPC' program and gets the results as data frames ('redatam_query()'/'redatam_run()').
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
LinkingTo: cpp11
SystemRequirements: 'Redatam' runtime engine (see https://redatam.org), The dynamic binary library is downloaded from <https://redatam-core.s3.us-west-2.amazonaws.com> during the build step. Currently supported platforms are Windows and Linux (both for x86-64 processors only)
Copyright: See COPYRIGHTS for details.
Packaged: 2024-10-24 15:47:32 UTC; jsalvador2024
Author: Jaime Salvador [aut, cre] , CELADE [cph]
Repository: CRAN
Date/Publication: 2024-10-25 09:20:06 UTC

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Package GJRM updated to version 0.2-6.7 with previous version 0.2-6.5 dated 2024-01-25

Title: Generalised Joint Regression Modelling
Description: Routines for fitting various joint (and univariate) regression models, with several types of covariate effects, in the presence of equations' errors association, endogeneity, non-random sample selection or partial observability.
Author: Giampiero Marra [aut, cre], Rosalba Radice [aut]
Maintainer: Giampiero Marra <giampiero.marra@ucl.ac.uk>

Diff between GJRM versions 0.2-6.5 dated 2024-01-25 and 0.2-6.7 dated 2024-10-25

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 186 files changed, 4447 insertions(+), 4133 deletions(-)

More information about GJRM at CRAN
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New package icesDatsuQC with initial version 1.2.0
Package: icesDatsuQC
Version: 1.2.0
Title: Run Quality Checks on Data Prior to Submission to ICES
Description: Run quality checks on data sets using the same checks that are conducted on the ICES Data Submission Utility (DATSU) <https://datsu.ices.dk>.
License: GPL (>= 2)
Imports: sqldf, icesDatsu (>= 1.1.0), icesVocab, glue
Encoding: UTF-8
URL: https://datsu.ices.dk, https://github.com/ices-tools-prod/icesDatsuQC
BugReports: https://github.com/ices-tools-prod/icesDatsuQC/issues
Language: en-GB
NeedsCompilation: no
Packaged: 2024-10-25 06:09:11 UTC; colin
Author: Colin Millar [aut, cre], Carlos Pinto [aut]
Maintainer: Colin Millar <colin.millar@ices.dk>
Repository: CRAN
Date/Publication: 2024-10-25 09:20:10 UTC

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New package gglogger with initial version 0.1.5
Package: gglogger
Title: Track 'ggplot2' Calls
Version: 0.1.5
Description: Provides a way to log 'ggplot' component calls, which can be useful for debugging and understanding how 'ggplot' objects are created. The logged calls can be printed, saved, and re-executed to reproduce the original 'ggplot' object.
License: MIT + file LICENSE
Imports: ggplot2, cli, methods
Suggests: rlang, testthat
Encoding: UTF-8
URL: https://github.com/pwwang/gglogger/
NeedsCompilation: no
Packaged: 2024-10-24 16:10:31 UTC; pwwang
Author: Panwen Wang [aut, cre]
Maintainer: Panwen Wang <pwwang@pwwang.com>
Repository: CRAN
Date/Publication: 2024-10-25 09:10:02 UTC

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New package GeneScoreR with initial version 0.1.1
Package: GeneScoreR
Title: Gene Scoring from Count Tables
Version: 0.1.1
Description: Provides two methods for automatic calculation of gene scores from gene count tables: the z-score method, which requires a table of samples being scored and a count table with control samples, and the geometric mean method, which does not rely on control samples. The mathematical methods implemented are described by Kim et al. (2018) <doi:10.1089/jir.2017.0127>.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-24 15:59:42 UTC; ariseleftheriossyntakas
Author: Aris Syntakas [aut, cre]
Maintainer: Aris Syntakas <sejjsyn@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2024-10-25 09:10:10 UTC

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New package deeptimedata with initial version 1.0.0
Package: deeptimedata
Title: Geologic Pattern Data from FGDC Used in 'deeptime'
Version: 1.0.0
Maintainer: William Gearty <willgearty@gmail.com>
Description: Geologic pattern data from <https://ngmdb.usgs.gov/fgdc_gds/geolsymstd.php>. Access functions are provided in the accompanying package 'deeptime'.
URL: http://williamgearty.com/deeptimedata/, https://github.com/willgearty/deeptimedata
BugReports: https://github.com/willgearty/deeptimedata/issues
Depends: R (>= 2.10)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: grImport2, rsvg, usethis
NeedsCompilation: no
Packaged: 2024-10-24 17:40:53 UTC; willg
Author: William Gearty [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-10-25 09:30:02 UTC

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New package regMMD with initial version 0.0.1
Package: regMMD
Version: 0.0.1
Title: Robust Regression and Estimation Through Maximum Mean Discrepancy Minimization
Description: The functions in this package compute robust estimators by minimizing a kernel-based distance known as MMD (Maximum Mean Discrepancy) between the sample and a statistical model. Recent works proved that these estimators enjoy a universal consistency property, and are extremely robust to outliers. Various optimization algorithms are implemented: stochastic gradient is available for most models, but the package also allows gradient descent in a few models for which an exact formula is available for the gradient. In terms of distribution fit, a large number of continuous and discrete distributions are available: Gaussian, exponential, uniform, gamma, Poisson, geometric, etc. In terms of regression, the models available are: linear, logistic, gamma, beta and Poisson. Alquier, P. and Gerber, M. (2024) <doi:10.1093/biomet/asad031> Cherief-Abdellatif, B.-E. and Alquier, P. (2022) <doi:10.3150/21-BEJ1338>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Rdpack (>= 0.7)
Author: Pierre Alquier [aut, cre] , Mathieu Gerber [aut]
Maintainer: Pierre Alquier <pierre.alquier.stat@gmail.com>
NeedsCompilation: no
Packaged: 2024-10-23 01:49:30 UTC; alquier
Repository: CRAN
Date/Publication: 2024-10-25 08:10:02 UTC

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New package psvd with initial version 0.1-0
Package: psvd
Version: 0.1-0
Date: 2024-10-02
Title: Eigendecomposition, Singular-Values and the Power Method
Author: Doulaye Dembele [aut, cre]
Maintainer: Doulaye Dembele <doulaye@igbmc.fr>
Depends: R (>= 4.0),
Description: For a data matrix with m rows and n columns (m>=n), the power method is used to compute, simultaneously, the eigendecomposition of a square symmetric matrix. This result is used to obtain the singular value decomposition (SVD) and the principal component analysis (PCA) results. Compared to the classical SVD method, the first r singular values can be computed.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2024-10-23 06:52:38 UTC; doulaye
Repository: CRAN
Date/Publication: 2024-10-25 08:10:05 UTC

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Package pharmaverseadam updated to version 1.1.0 with previous version 1.0.0 dated 2024-07-01

Title: ADaM Test Data for the 'Pharmaverse' Family of Packages
Description: A set of Analysis Data Model (ADaM) datasets constructed using the Study Data Tabulation Model (SDTM) datasets contained in the 'pharmaversesdtm' package and the template scripts from the 'admiral' family of packages. ADaM dataset specifications are described in the CDISC ADaM implementation guide, accessible by creating a free account on <https://www.cdisc.org/>.
Author: Edoardo Mancini [aut, cre] , Kangjie Zhang [aut], Stefan Bundfuss [aut] , Gayatri G [aut], Daphne Grassely [aut], Zelos Zhu [aut], Sadchla Mascary [aut]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>

Diff between pharmaverseadam versions 1.0.0 dated 2024-07-01 and 1.1.0 dated 2024-10-25

 DESCRIPTION                    |   21 ++---
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 R/adae.R                       |   13 ++-
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 R/adeg.R                       |   17 ++--
 R/adex.R                       |   12 ++-
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 README.md                      |    4 -
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 man/adtte_onco.Rd              |    4 -
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 76 files changed, 372 insertions(+), 243 deletions(-)

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New package leafletZH with initial version 0.1.0
Package: leafletZH
Title: Adds a Chinese Choropleth Leaflet Map
Version: 0.1.0
Maintainer: Damonsoul <chenmaowei96@gmail.com>
Description: Provides 'sf' data for Chinese provinces and cities, methods for plotting shape maps of Chinese provinces and cities, and a layer for 'leaflet' with Gaode tiles. It is designed to facilitate geographical data visualization in China.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: geojsonsf, htmltools, htmlwidgets, leaflet, leaflet.extras, sf, stringr
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2024-10-24 05:41:22 UTC; Administrator
Author: Damonsoul [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-25 08:40:02 UTC

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Package kerntools updated to version 1.1.0 with previous version 1.0.2 dated 2024-09-04

Title: Kernel Functions and Tools for Machine Learning Applications
Description: Kernel functions for diverse types of data (including, but not restricted to: nonnegative and real vectors, real matrices, categorical and ordinal variables, sets, strings), plus other utilities like kernel similarity, kernel Principal Components Analysis (PCA) and features' importance for Support Vector Machines (SVMs), which expand other 'R' packages like 'kernlab'.
Author: Elies Ramon [aut, cre, cph]
Maintainer: Elies Ramon <eramon@everlyrusher.com>

Diff between kerntools versions 1.0.2 dated 2024-09-04 and 1.1.0 dated 2024-10-25

 DESCRIPTION                            |    9 +++--
 MD5                                    |   38 +++++++++++++--------
 NEWS.md                                |    6 +++
 R/kernel_functions.R                   |    6 +--
 R/soil.R                               |only
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 build/vignette.rds                     |binary
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 tests/testthat/test-kernel_functions.R |    4 +-
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 26 files changed, 134 insertions(+), 36 deletions(-)

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New package immunaut with initial version 1.0.0
Package: immunaut
Version: 1.0.0
Date: 2024-10-22
Title: 'Immunaut': Platform for Machine Learning-Driven Immunogenicity Analysis and Vaccine Response Prediction
Author: Ivan Tomic [aut, cre, cph] , Adriana Tomic [aut, ctb, cph, fnd] , Stephanie Hao [aut]
Description: Used for analyzing immune responses and predicting vaccine efficacy using machine learning and advanced data processing techniques. 'Immunaut' integrates both unsupervised and supervised learning methods, managing outliers and capturing immune response variability. It performs multiple rounds of predictive model testing to identify robust immunogenicity signatures that can predict vaccine responsiveness. The platform is designed to handle high-dimensional immune data, enabling researchers to uncover immune predictors and refine personalized vaccination strategies across diverse populations.
Maintainer: Ivan Tomic <info@ivantomic.com>
Packaged: 2024-10-23 18:22:04 UTC; login
Imports: cluster, plyr, dplyr, caret, pROC, PRROC, stats, rlang, Rtsne, dbscan, FNN, igraph, fpc, mclust, ggplot2, grDevices, RColorBrewer
Depends: R (>= 3.4.0)
URL: https://github.com/atomiclaboratory/immunaut, <https://atomic-lab.org>
BugReports: https://github.com/atomiclaboratory/immunaut/issues
License: GPL-3
Encoding: UTF-8
LazyLoad: yes
LazyData: yes
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2024-10-25 08:40:05 UTC

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New package GitStats with initial version 2.1.1
Package: GitStats
Title: Get Statistics from 'GitHub' and 'GitLab'
Version: 2.1.1
Description: Obtain statistics in a standardized way from multiple 'Git' services: 'GitHub' and 'GitLab' for the time-being. Its main purpose is to help teams, whose activities are spread across multiple git platforms, get their repository metadata in a standardized way from all these platforms.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://r-world-devs.github.io/GitStats/, https://github.com/r-world-devs/GitStats
BugReports: https://github.com/r-world-devs/GitStats/issues
Imports: cli, dplyr, glue, httr2, lubridate (>= 1.8.0), magrittr, rlang (>= 1.1.0), R6, purrr (>= 1.0.0), stringr
Suggests: spelling, knitr, mockery, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2024-10-23 08:14:27 UTC; banasm
Author: Maciej Banas [aut, cre], Kamil Koziej [aut], Karolina Marcinkowska [aut], Matt Secrest [aut]
Maintainer: Maciej Banas <banasmaciek@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-25 08:10:12 UTC

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New package dsTidyverse with initial version 1.0.1
Package: dsTidyverse
Title: 'DataSHIELD' 'Tidyverse' Serverside Package
Version: 1.0.1
Maintainer: Tim Cadman <t.j.cadman@umcg.nl>
Description: Implementation of selected 'Tidyverse' functions within 'DataSHIELD', an open-source federated analysis solution in R. Currently, DataSHIELD contains very limited tools for data manipulation, so the aim of this package is to improve the researcher experience by implementing essential functions for data manipulation, including subsetting, filtering, grouping, and renaming variables. For more information, see <https://www.tidyverse.org/> and <https://datashield.org/>.
License: LGPL (>= 2.1)
Encoding: UTF-8
Imports: rlang, cli
Suggests: testthat (>= 3.0.0), tibble, DSLite, dsBaseClient, dsBase, DSI, dplyr, purrr, mockery
Additional_repositories: https://cran.obiba.org/
NeedsCompilation: no
Packaged: 2024-10-17 15:03:59 UTC; timcadman
Author: Tim Cadman [aut, cre] , Mariska Slofstra [aut] , Stuart Wheater [aut], Demetris Avraam [aut]
Repository: CRAN
Date/Publication: 2024-10-25 08:50:02 UTC

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New package dexisensitivity with initial version 1.0.0
Package: dexisensitivity
Title: 'DEXi' Decision Tree Analysis and Visualization
Version: 1.0.0
Description: Provides a versatile toolkit for analyzing and visualizing 'DEXi' (Decision EXpert for education) decision trees, facilitating multi-criteria decision analysis directly within R. Users can read .dxi files, manipulate decision trees, and evaluate various scenarios. It supports sensitivity analysis through Monte Carlo simulations, one-at-a-time approaches, and variance-based methods, helping to discern the impact of input variations. Additionally, it includes functionalities for generating sampling plans and an array of visualization options for decision trees and analysis results. A distinctive feature is the synoptic table plot, aiding in the efficient comparison of scenarios. Whether for in-depth decision modeling or sensitivity analysis, this package stands as a comprehensive solution. Definition of sensitivity analyses available in Carpani, Bergez and Monod (2012) <doi:10.1016/j.envsoft.2011.10.002> and detailed description of the package soon available in Alaphilippe, Allart, [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: methods, XML, AlgDesign, grDevices, graphics, plotrix, genalg, dplyr, ggplot2, testthat (>= 3.0.0), xml2
Suggests: sloop, vdiffr
LazyData: true
NeedsCompilation: no
Packaged: 2024-10-23 14:05:45 UTC; nicavan
Author: Roland Allart [aut], Jacques-Eric Bergez [aut] , Marta Carpani [aut], Herve Monod [aut] , Aude Alaphilippe [ctb] , Nicolas Cavan [ctb, cre], INRAE [cph] )
Maintainer: Nicolas Cavan <nicolas.cavan@inrae.fr>
Repository: CRAN
Date/Publication: 2024-10-25 08:30:01 UTC

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New package clustcurv with initial version 2.0.2
Package: clustcurv
Title: Determining Groups in Multiples Curves
URL: https://github.com/noramvillanueva/clustcurv
BugReports: https://github.com/noramvillanueva/clustcurv/issues
Version: 2.0.2
Date: 2024-10-09
Maintainer: Nora M. Villanueva <nmvillanueva@uvigo.es>
Description: A method for determining groups in multiple curves with an automatic selection of their number based on k-means or k-medians algorithms. The selection of the optimal number is provided by bootstrap methods. The methodology can be applied both in regression and survival framework. Implemented methods are: Grouping multiple survival curves described by Villanueva et al. (2018) <doi:10.1002/sim.8016>.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: doParallel, doRNG, foreach, ggfortify, ggplot2, Gmedian, grDevices, npregfast, RColorBrewer, survival
Suggests: covr, knitr, plotly, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-23 10:39:34 UTC; sestelo
Author: Nora M. Villanueva [aut, cre] , Marta Sestelo [aut]
Repository: CRAN
Date/Publication: 2024-10-25 08:20:07 UTC

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New package atlasapprox with initial version 0.1.0
Package: atlasapprox
Title: Cell Atlas Approximations
Version: 0.1.0
Maintainer: Ying Xu <ying.xu3@unsw.edu.au>
Description: Provides an interface in R to cell atlas approximations. See the vignette under "Getting started" for instructions. You can also explore the reference documentation for specific functions. Additional interfaces and resources are available at <https://atlasapprox.readthedocs.io>.
License: MIT + file LICENSE
URL: https://atlasapprox.readthedocs.io/en/latest/R/index.html, https://github.com/fabilab/cell_atlas_approximations_API
BugReports: https://github.com/fabilab/cell_atlas_approximations_API/issues
Imports: httr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-23 05:53:14 UTC; yingxu
Author: Fabio Zanini [aut] , Ying Xu [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-25 08:10:08 UTC

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New package abima with initial version 1.0
Package: abima
Title: Adaptive Bootstrap Inference for Mediation Analysis with Enhanced Statistical Power
Version: 1.0
Description: Assess whether and how a specific exposure affects the outcome of interest through intermediate variables using adaptive bootstrap. The adaptive method considers the composite structure of no mediation effect, resulting in calibrated type I error and improved statistical power. For more information, refer to He, Song and Xu (2024) <doi:10.1093/jrsssb/qkad129>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: boot, stats
URL: https://github.com/canyi-chen/abima
BugReports: https://github.com/canyi-chen/abima/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-10-24 05:47:30 UTC; chencanyi
Author: Canyi Chen [aut, cre] , Yinqiu He [aut], Gongjun Xu [aut], Peter X.-K. Song [aut, cph]
Maintainer: Canyi Chen <cychen.stats@outlook.com>
Repository: CRAN
Date/Publication: 2024-10-25 08:40:11 UTC

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New package svyROC with initial version 1.0.0
Package: svyROC
Title: Estimation of the ROC Curve and the AUC for Complex Survey Data
Version: 1.0.0
Maintainer: Amaia Iparragirre <amaia.iparragirre@ehu.eus>
Description: Estimate the receiver operating characteristic (ROC) curve, area under the curve (AUC) and optimal cut-off points for individual classification taking into account complex sampling designs when working with complex survey data. Methods implemented in this package are described in: A. Iparragirre, I. Barrio, I. Arostegui (2024) <doi:10.1002/sta4.635>; A. Iparragirre, I. Barrio, J. Aramendi, I. Arostegui (2022) <doi:10.2436/20.8080.02.121>; A. Iparragirre, I. Barrio (2024) <doi:10.1007/978-3-031-65723-8_7>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports: survey, svyVarSel
NeedsCompilation: no
Packaged: 2024-10-22 17:58:24 UTC; amaiaiparragirre
Author: Amaia Iparragirre [aut, cre, cph] , Irantzu Barrio [aut], Inmaculada Arostegui [aut]
Repository: CRAN
Date/Publication: 2024-10-25 07:40:02 UTC

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New package RPatternJoin with initial version 1.0.0
Package: RPatternJoin
Title: String Similarity Joins for Hamming and Levenshtein Distances
Version: 1.0.0
Date: 2024-10-11
Description: This project is a tool for words edit similarity joins (a.k.a. all-pairs similarity search) under small (< 3) edit distance constraints. It works for Levenshtein/Hamming distances and words from any alphabet. The software was originally developed for joining amino-acid/nucleotide sequences from Adaptive Immune Repertoires, where the number of words is relatively large (10^5-10^6) and the average length of words is relatively small (10-100).
License: MIT + file LICENSE
Suggests: Matrix, testthat, stringdist
Imports: Rcpp (>= 1.0.13), stats
LinkingTo: Rcpp, RcppArmadillo
Language: en-US
NeedsCompilation: yes
Packaged: 2024-10-22 17:11:41 UTC; daniil
Author: Daniil Matveev [aut, cre], Martin Leitner-Ankerl [ctb, cph], Gene Harvey [ctb, cph]
Maintainer: Daniil Matveev <dmatveev@sfsu.edu>
Repository: CRAN
Date/Publication: 2024-10-25 07:30:10 UTC

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New package pioneeR with initial version 0.5.0
Package: pioneeR
Title: Productivity and Efficiency Analysis using DEA
Version: 0.5.0
Description: Measure productivity and efficiency using Data Envelopment Analysis (DEA). Available methods include DEA under different technology assumptions, bootstrapping of efficiency scores and calculation of the Malmquist productivity index. Analyses can be performed either in the console or with the provided 'shiny' app. See Banker, R.; Charnes, A.; Cooper, W.W. (1984) <doi:10.1287/mnsc.30.9.1078>, Färe, R.; Grosskopf, S. (1996) <doi:10.1007/978-94-009-1816-0>.
License: GPL-3
URL: https://riksrevisjonen.github.io/pioneeR/, https://github.com/Riksrevisjonen/pioneeR
BugReports: https://github.com/Riksrevisjonen/pioneeR/issues
Depends: R (>= 4.1.0), shiny (>= 1.7.0)
Imports: bslib (>= 0.6.0), bsicons, cli (>= 3.6.0), ggplot2 (>= 3.3.0), haven (>= 2.5.0), htmltools, lpSolveAPI (>= 5.5.2), markdown, reactable (>= 0.4.0), readxl, rlang (>= 1.1.0), scales, writexl
Suggests: deaR, rmarkdown, knitr, testthat (>= 3.0.0), tibble, withr
Language: en-GB
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-22 20:00:20 UTC; ohj
Author: Ove Haugland Jakobsen [aut, cre], Aleksander Eilertsen Valberg [aut], Jan Roar Beckstroem [ctb], Lars Skaage Engebretsen [ctb], Jonas Mansson [ctb], Joachim Sandnes [ctb], National Audit Office of Norway [cph]
Maintainer: Ove Haugland Jakobsen <ohj@mac.com>
Repository: CRAN
Date/Publication: 2024-10-25 07:40:07 UTC

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Package pharmaversesdtm updated to version 1.1.0 with previous version 1.0.0 dated 2024-06-06

Title: SDTM Test Data for the 'Pharmaverse' Family of Packages
Description: A set of Study Data Tabulation Model (SDTM) datasets from the Clinical Data Interchange Standards Consortium (CDISC) pilot project used for testing and developing Analysis Data Model (ADaM) datasets inside the pharmaverse family of packages. SDTM dataset specifications are described in the CDISC SDTM implementation guide, accessible by creating a free account on <https://www.cdisc.org/>.
Author: Edoardo Mancini [aut, cre] , Gayatri G [aut], Kangjie Zhang [aut], Pooja Kumari [aut], Stefan Bundfuss [aut] , Zelos Zhu [aut], Sadchla Mascary [aut], Vladyslav Shuliar [aut]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>

Diff between pharmaversesdtm versions 1.0.0 dated 2024-06-06 and 1.1.0 dated 2024-10-25

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New package ozbabynames with initial version 0.1.0
Package: ozbabynames
Title: Australian Popular Baby Names
Version: 0.1.0
Description: Data on the most popular baby names by sex and year, and for each state in Australia, as provided by the state and territory governments. The quality and quantity of the data varies with the state.
Depends: R (>= 4.1.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, testthat (>= 3.0.0)
URL: https://github.com/robjhyndman/ozbabynames, https://pkg.robjhyndman.com/ozbabynames/
BugReports: https://github.com/robjhyndman/ozbabynames/issues
NeedsCompilation: no
Packaged: 2024-10-22 22:08:09 UTC; hyndman
Author: Rob Hyndman [aut, cre, cph] , Mitchell O'Hara-Wild [aut] , Jessie Roberts [aut], Nick Tierney [aut] , Anna Fergusson [ctb]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>
Repository: CRAN
Date/Publication: 2024-10-25 07:50:02 UTC

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New package graphicalEvidence with initial version 1.0
Package: graphicalEvidence
Title: Graphical Evidence
Version: 1.0
Date: 2024-10-07
Maintainer: David Rowe <david@rowe-stats.com>
Description: Computes marginal likelihood in Gaussian graphical models through a novel telescoping block decomposition of the precision matrix which allows estimation of model evidence. The top level function used to estimate marginal likelihood is called evidence, which expects the prior name, data, and relevant prior specific parameters. This package also provides an MCMC prior sampler using the same underlying approach, implemented in prior_sampling, which expects a prior name and prior specific parameters. Both functions also expect the number of burn-in iterations and the number of sampling iterations for the underlying MCMC sampler.
License: GPL-3
Imports: Rcpp, parallel, doParallel, foreach, mvtnorm
LinkingTo: Rcpp, RcppArmadillo
StagedInstall: true
NeedsCompilation: yes
Packaged: 2024-10-22 17:44:56 UTC; dprow
Author: David Rowe [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-25 07:30:06 UTC

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New package fbglm with initial version 1.5.0
Package: fbglm
Title: Fractional Binomial Regression Model
Version: 1.5.0
Description: Fit a fractional binomial regression model and extended zero-inflated negative binomial regression model to count data with excess zeros using maximum likelihood estimation. Compare zero-inflated regression models via Vuong closeness test.
License: MIT + file LICENSE
Imports: bbmle, frbinom, pscl, agridat
Encoding: UTF-8
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-10-22 22:46:06 UTC; leeje
Author: Jeonghwa Lee [aut, cre, cph]
Maintainer: Jeonghwa Lee <leejb@uncw.edu>
Repository: CRAN
Date/Publication: 2024-10-25 08:00:02 UTC

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New package DiscreteGapStatistic with initial version 0.1.0
Package: DiscreteGapStatistic
Title: An Extension of the Gap Statistic for Ordinal/Categorical Data
Version: 0.1.0
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.
URL: https://github.com/ecortesgomez/DiscreteGapStatistic
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: cultevo, magrittr, utils, ggplot2, pheatmap, dplyr, Polychrome, RColorBrewer, reshape2, tidyr, ComplexHeatmap
Suggests: cluster, knitr, rmarkdown, kableExtra, testthat
Depends: R (>= 4.2.0)
NeedsCompilation: no
Packaged: 2024-10-23 00:57:29 UTC; ED33454
Author: Jeffrey Miecznikowski [aut], Eduardo Cortes [aut, cre]
Maintainer: Eduardo Cortes <ecortesg@buffalo.edu>
Repository: CRAN
Date/Publication: 2024-10-25 08:00:06 UTC

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New package CTxCC with initial version 0.1.0
Package: CTxCC
Title: Multivariate Normal Mean Monitoring Through Critical-to-X Control Chart
Version: 0.1.0
Maintainer: Dr. Diana Barraza-Barraza <diana.barraza@ujed.mx>
Description: A comprehensive set of functions designed for multivariate mean monitoring using the Critical-to-X Control Chart. These functions enable the determination of optimal control limits based on a specified in-control Average Run Length (ARL), the calculation of out-of-control ARL for a given control limit, and post-signal analysis to identify the specific variable responsible for a detected shift in the mean. This suite of tools provides robust support for precise and effective process monitoring and analysis.
License: GPL (>= 2)
Encoding: UTF-8
Imports: combinat, matrixcalc, stats, mvtnorm, expm, CompQuadForm
NeedsCompilation: no
Packaged: 2024-10-22 21:57:17 UTC; dianabza
Author: Dr. Burcu Aytacoglu [aut] , Dr. Diana Barraza-Barraza [aut, cre] , Dr. Victor G. Tercero-Gomez [aut] , Dr. A. Eduardo Cordero-Franco [aut]
Repository: CRAN
Date/Publication: 2024-10-25 07:40:11 UTC

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Package rngSetSeed (with last version 0.3-3) was removed from CRAN

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

2023-09-19 0.3-3
2014-12-03 0.3-2
2014-12-01 0.3-1

Permanent link
Package trampoline (with last version 0.1.1) was removed from CRAN

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

2022-01-04 0.1.1
2021-12-10 0.1.0

Permanent link
Package stRoke updated to version 24.10.1 with previous version 23.9.1 dated 2023-09-07

Title: Clinical Stroke Research
Description: A collection of tools for clinical trial data management and analysis in research and teaching. The package is mainly collected for personal use, but any use beyond that is encouraged. This package has migrated functions from 'agdamsbo/daDoctoR', and new functions has been added. Version follows months and year. See NEWS/Changelog for release notes. This package includes sampled data from the TALOS trial (Kraglund et al (2018) <doi:10.1161/STROKEAHA.117.020067>). The win_prob() function is based on work by Zou et al (2022) <doi:10.1161/STROKEAHA.121.037744>. The age_calc() function is based on work by Becker (2020) <doi:10.18637/jss.v093.i02>.
Author: Andreas Gammelgaard Damsbo [aut, cre]
Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@clin.au.dk>

Diff between stRoke versions 23.9.1 dated 2023-09-07 and 24.10.1 dated 2024-10-25

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Package ohenery updated to version 0.1.2 with previous version 0.1.1 dated 2019-10-15

Title: Modeling of Ordinal Random Variables via Softmax Regression
Description: Supports the modeling of ordinal random variables, like the outcomes of races, via Softmax regression, under the Harville <doi:10.1080/01621459.1973.10482425> and Henery <doi:10.1111/j.2517-6161.1981.tb01153.x> models.
Author: Steven E. Pav [aut, cre]
Maintainer: Steven E. Pav <shabbychef@gmail.com>

Diff between ohenery versions 0.1.1 dated 2019-10-15 and 0.1.2 dated 2024-10-25

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New package BoundaryStats with initial version 2.2.0
Package: BoundaryStats
Title: Boundary Overlap Statistics
Version: 2.2.0
Description: Analysis workflow for finding geographic boundaries of ecological or landscape traits and comparing the placement of geographic boundaries of two traits. If data are trait values, trait data are transformed to boundary intensities based on approximate first derivatives across latitude and longitude. The package includes functions to create custom null models based on the input data. The boundary statistics are described in: Fortin, Drapeau, and Jacquez (1996) <doi:10.2307/3545584>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: sf, terra, pdqr, methods, ggplot2, tibble, dplyr, magrittr, igraph, fields, scales
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-20 02:05:47 UTC; AmyLuo
Author: Amy Luo [aut, cre, cph] , Elizabeth Derryberry [ths]
Maintainer: Amy Luo <aluo@vols.utk.edu>
Repository: CRAN
Date/Publication: 2024-10-20 04:00:02 UTC

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Package rdss (with last version 1.0.12) was removed from CRAN

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

2024-10-10 1.0.12

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Package rsurv updated to version 0.0.2 with previous version 0.0.1 dated 2024-06-06

Title: Random Generation of Survival Data
Description: Random generation of survival data from a wide range of regression models, including accelerated failure time (AFT), proportional hazards (PH), proportional odds (PO), accelerated hazard (AH), Yang and Prentice (YP), and extended hazard (EH) models. The package 'rsurv' also stands out by its ability to generate survival data from an unlimited number of baseline distributions provided that an implementation of the quantile function of the chosen baseline distribution is available in R. Another nice feature of the package 'rsurv' lies in the fact that linear predictors are specified via a formula-based approach, facilitating the inclusion of categorical variables and interaction terms. The functions implemented in the package 'rsurv' can also be employed to simulate survival data with more complex structures, such as survival data with different types of censoring mechanisms, survival data with cure fraction, survival data with random effects (frailties), multivariate survival data, and [...truncated...]
Author: Fabio Demarqui [aut, cre, cph]
Maintainer: Fabio Demarqui <fndemarqui@est.ufmg.br>

Diff between rsurv versions 0.0.1 dated 2024-06-06 and 0.0.2 dated 2024-10-25

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Package PatientProfiles updated to version 1.2.1 with previous version 1.2.0 dated 2024-09-11

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>

Diff between PatientProfiles versions 1.2.0 dated 2024-09-11 and 1.2.1 dated 2024-10-25

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