Thu, 19 Dec 2024

Package openxlsx2 updated to version 1.12 with previous version 1.11 dated 2024-11-14

Title: Read, Write and Edit 'xlsx' Files
Description: Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.
Author: Jordan Mark Barbone [aut] , Jan Marvin Garbuszus [aut, cre], Olivier Roy [ctb], openxlsx authors [cph] , Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

Diff between openxlsx2 versions 1.11 dated 2024-11-14 and 1.12 dated 2024-12-19

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More information about openxlsx2 at CRAN
Permanent link

Package DrugUtilisation updated to version 0.8.1 with previous version 0.8.0 dated 2024-12-09

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

Diff between DrugUtilisation versions 0.8.0 dated 2024-12-09 and 0.8.1 dated 2024-12-19

 DESCRIPTION                              |    6 
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 NAMESPACE                                |    1 
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More information about DrugUtilisation at CRAN
Permanent link

Package CDMConnector updated to version 1.7.0 with previous version 1.6.1 dated 2024-11-29

Title: Connect to an OMOP Common Data Model
Description: Provides tools for working with observational health data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model format with a pipe friendly syntax. Common data model database table references are stored in a single compound object along with metadata.
Author: Adam Black [aut, cre] , Artem Gorbachev [aut], Edward Burn [aut], Marti Catala Sabate [aut]
Maintainer: Adam Black <black@ohdsi.org>

Diff between CDMConnector versions 1.6.1 dated 2024-11-29 and 1.7.0 dated 2024-12-19

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More information about CDMConnector at CRAN
Permanent link

Package gnonadd updated to version 1.0.3 with previous version 1.0.2 dated 2023-09-22

Title: Various Non-Additive Models for Genetic Associations
Description: The goal of 'gnonadd' is to simplify workflows in the analysis of non-additive effects of sequence variants. This includes variance effects (Ivarsdottir et. al (2017) <doi:10.1038/ng.3928>), correlation effects, interaction effects and dominance effects. The package also includes convenience functions for visualization.
Author: Audunn S. Snaebjarnarson [aut, cre, ctb], Gudmundur Einarsson [aut, ctb], Daniel F. Gudbjartsson [aut, ctb], deCODE Genetics/AMGEN [cph, fnd]
Maintainer: Audunn S. Snaebjarnarson <audunn.snaebjarnarson@decode.is>

Diff between gnonadd versions 1.0.2 dated 2023-09-22 and 1.0.3 dated 2024-12-19

 DESCRIPTION                         |    8 ++++----
 MD5                                 |   10 +++++-----
 NEWS.md                             |    5 +++++
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 README.md                           |   31 ++++++++++++++++++-------------
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More information about gnonadd at CRAN
Permanent link

Package tidypredict updated to version 0.5.1 with previous version 0.5 dated 2023-01-18

Title: Run Predictions Inside the Database
Description: It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.
Author: Emil Hvitfeldt [aut, cre], Edgar Ruiz [aut], Max Kuhn [aut]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

Diff between tidypredict versions 0.5 dated 2023-01-18 and 0.5.1 dated 2024-12-19

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New package rgeoda with initial version 0.0.11-1
Package: rgeoda
Title: R Library for Spatial Data Analysis
Version: 0.0.11-1
Date: 2024-12-18
Maintainer: Xun Li <lixun910@gmail.com>
Description: Provides spatial data analysis functionalities including Exploratory Spatial Data Analysis, Spatial Cluster Detection and Clustering Analysis, Regionalization, etc. based on the C++ source code of 'GeoDa', which is an open-source software tool that serves as an introduction to spatial data analysis. The 'GeoDa' software and its documentation are available at <https://geodacenter.github.io>.
URL: https://github.com/geodacenter/rgeoda/, https://geodacenter.github.io/rgeoda/
BugReports: https://github.com/geodacenter/rgeoda/issues/
Depends: R (>= 4.0.0), methods, digest
License: GPL (>= 2)
Imports: sf, Rcpp (>= 1.0.1)
LinkingTo: Rcpp, BH (>= 1.87.0-1)
Encoding: UTF-8
Suggests: wkb, sp
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2024-12-18 17:46:04 UTC; xun
Author: Xun Li [aut, cre], Luc Anselin [aut]
Repository: CRAN
Date/Publication: 2024-12-19 08:30:02 UTC

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Package FaaSr updated to version 1.4.3 with previous version 1.3.0 dated 2024-06-10

Title: FaaS (Function as a Service) Package
Description: Allows users to create and deploy the workflow with multiple functions in Function-as-a-Service (FaaS) cloud computing platforms. The 'FaaSr' package makes it simpler for R developers to use FaaS platforms by providing the following functionality: 1) Parsing and validating a JSON-based payload compliant to 'FaaSr' schema supporting multiple FaaS platforms 2) Invoking user functions written in R in a Docker container (derived from rocker), using a list generated from the parser as argument 3) Downloading/uploading of files from/to S3 buckets using simple primitives 4) Logging to files in S3 buckets 5) Triggering downstream actions supporting multiple FaaS platforms 6) Generating FaaS-specific API calls to simplify the registering of a user's workflow with a FaaS platform Supported FaaS platforms: Apache OpenWhisk <https://openwhisk.apache.org/> GitHub Actions <https://github.com/features/actions> Amazon Web Services (AWS) Lambda <https://aws.amazon.com/lambda/> Support [...truncated...]
Author: Figueiredo Renato [aut, cre, ths, cph] , Park Sungjae [aut] , Mu Nan [ctb], Ku Yun-Jung [ctb], Daneshmand Vahid [ctb], Thomas R. Quinn [aut], Carey Cayelan [ctb]
Maintainer: Figueiredo Renato <renato.figueiredo@oregonstate.edu>

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Package dreamer updated to version 3.2.0 with previous version 3.1.0 dated 2022-09-01

Title: Dose Response Models for Bayesian Model Averaging
Description: Fits dose-response models utilizing a Bayesian model averaging approach as outlined in Gould (2019) <doi:10.1002/bimj.201700211> for both continuous and binary responses. Longitudinal dose-response modeling is also supported in a Bayesian model averaging framework as outlined in Payne, Ray, and Thomann (2024) <doi:10.1080/10543406.2023.2292214>. Functions for plotting and calculating various posterior quantities (e.g. posterior mean, quantiles, probability of minimum efficacious dose, etc.) are also implemented. Copyright Eli Lilly and Company (2019).
Author: Richard Daniel Payne [aut, cre], William Michael Landau [rev], Mitch Thomann [rev], Eli Lilly and Company [cph]
Maintainer: Richard Daniel Payne <paynestatistics@gmail.com>

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Package digiRhythm updated to version 2.4 with previous version 2.3 dated 2024-11-07

Title: Analyzing Animal's Rhythmicity
Description: Analyze and visualize the rhythmic behavior of animals using the degree of functional coupling (See Scheibe (1999) <doi:10.1076/brhm.30.2.216.1420>), compute and visualize harmonic power, actograms, average activity and diurnality index.
Author: Hassan-Roland Nasser [aut, cre], Marie Schneider [aut, ctb], Joanna Stachowicz [aut, rev], Christina Umstaetter [aut, ths]
Maintainer: Hassan-Roland Nasser <hassan.nasser@me.com>

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