Mon, 13 May 2024

Package speedytax updated to version 1.0.4 with previous version 1.0.3 dated 2024-01-18

Title: Rapidly Import Classifier Results into 'phyloseq'
Description: Import classification results from the 'RDP Classifier' (Ribosomal Database Project),' 'USEARCH sintax,' 'vsearch sintax' and the 'QIIME2' (Quantitative Insights into Microbial Ecology) classifiers into 'phyloseq' tax_table objects.
Author: John Quensen [aut, cre, cph]
Maintainer: John Quensen <quensenj@msu.edu>

Diff between speedytax versions 1.0.3 dated 2024-01-18 and 1.0.4 dated 2024-05-13

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More information about speedytax at CRAN
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Package simStateSpace updated to version 1.2.1 with previous version 1.2.0 dated 2024-02-15

Title: Simulate Data from State Space Models
Description: Provides a streamlined and user-friendly framework for simulating data in state space models, particularly when the number of subjects/units (n) exceeds one, a scenario commonly encountered in social and behavioral sciences. For an introduction to state space models in social and behavioral sciences, refer to Chow, Ho, Hamaker, and Dolan (2010) <doi:10.1080/10705511003661553>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

Diff between simStateSpace versions 1.2.0 dated 2024-02-15 and 1.2.1 dated 2024-05-13

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Package DrugUtilisation updated to version 0.6.0 with previous version 0.5.3 dated 2024-04-02

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 [aut] , Yuchen Guo [aut] , Kim Lopez-Guell [aut] , Edward Burn [ctb] , Xintong Li [ctb] , Marta Alcalde-Herraiz [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package ympes updated to version 1.1.0 with previous version 1.0.0 dated 2024-02-02

Title: Collection of Helper Functions
Description: Provides a collection of lightweight helper functions (imps) both for interactive use and for inclusion within other packages. These include functions for minimal input assertions, visualising colour palettes, quoting user input, searching rows of a data frame and capturing string tokens.
Author: Tim Taylor [aut, cre, cph] , R Core Team [cph] , Toby Hocking [cph]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package SurvivalClusteringTree updated to version 1.1 with previous version 1.0 dated 2023-09-11

Title: Clustering Analysis Using Survival Tree and Forest Algorithms
Description: An outcome-guided algorithm is developed to identify clusters of samples with similar characteristics and survival rate. The algorithm first builds a random forest and then defines distances between samples based on the fitted random forest. Given the distances, we can apply hierarchical clustering algorithms to define clusters. Details about this method is described in <https://github.com/luyouepiusf/SurvivalClusteringTree>.
Author: Lu You [aut, cre] , Lauric Ferrat [aut] , Hemang Parikh [aut] , Yanan Huo [aut] , Yuting Yang [aut] , Jeffrey Krischer [ctb] , Maria Redondo [ctb] , Richard Oram [ctb] , Andrea Steck [ctb]
Maintainer: Lu You <lu.you@epi.usf.edu>

Diff between SurvivalClusteringTree versions 1.0 dated 2023-09-11 and 1.1 dated 2024-05-13

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Package ctrdata updated to version 1.18.0 with previous version 1.17.2 dated 2024-02-25

Title: Retrieve and Analyze Clinical Trials in Public Registers
Description: A system for querying, retrieving and analyzing protocol- and results-related information on clinical trials from four public registers, the 'European Union Clinical Trials Register' ('EUCTR', <https://www.clinicaltrialsregister.eu/>), 'ClinicalTrials.gov' ('CTGOV', using the classic interface at <https://classic.clinicaltrials.gov/>, and 'CTGOV2', using the current interface at <https://www.clinicaltrials.gov/>), the 'ISRCTN' (<http://www.isrctn.com/>) and the 'European Union Clinical Trials Information System' ('CTIS', <https://euclinicaltrials.eu/>). Trial information is downloaded, converted and stored in a database ('PostgreSQL', 'SQLite', 'DuckDB' or 'MongoDB'; via package 'nodbi'). Documents in registers associated with trials can also be downloaded. Other functions identify deduplicated records, easily find and extract variables (fields) of interest even from complex nested data as used by the registers, merge variables and update queries. The pack [...truncated...]
Author: Ralf Herold [aut, cre]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

Diff between ctrdata versions 1.17.2 dated 2024-02-25 and 1.18.0 dated 2024-05-13

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Package unheadr updated to version 0.4.0 with previous version 0.3.3 dated 2022-08-15

Title: Handle Data with Messy Header Rows and Broken Values
Description: Verb-like functions to work with messy data, often derived from spreadsheets or parsed PDF tables. Includes functions for unwrapping values broken up across rows, relocating embedded grouping values, and to annotate meaningful formatting in spreadsheet files.
Author: Luis D. Verde Arregoitia [aut, cre]
Maintainer: Luis D. Verde Arregoitia <luis@liomys.mx>

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Package DiSCos updated to version 0.1.0 with previous version 0.0.1 dated 2024-03-14

Title: Distributional Synthetic Controls Estimation
Description: The method of synthetic controls is a widely-adopted tool for evaluating causal effects of policy changes in settings with observational data. In many settings where it is applicable, researchers want to identify causal effects of policy changes on a treated unit at an aggregate level while having access to data at a finer granularity. This package implements a simple extension of the synthetic controls estimator, developed in Gunsilius (2023) <doi:10.3982/ECTA18260>, that takes advantage of this additional structure and provides nonparametric estimates of the heterogeneity within the aggregate unit. The idea is to replicate the quantile function associated with the treated unit by a weighted average of quantile functions of the control units. The package contains tools for aggregating and plotting the resulting distributional estimates, as well as for carrying out inference on them.
Author: David Van Dijcke [aut, cre] , Florian Gunsilius [aut] , Siyun He [aut]
Maintainer: David Van Dijcke <dvdijcke@umich.edu>

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Package bravo updated to version 3.2.1 with previous version 2.3.1 dated 2023-08-26

Title: Bayesian Screening and Variable Selection
Description: Performs Bayesian variable screening and selection for ultra-high dimensional linear regression models.
Author: Dongjin Li [aut, cre], Debarshi Chakraborty[aut], Somak Dutta [aut], Vivekananda Roy [ctb]
Maintainer: Dongjin Li <liyangxiaobei@gmail.com>

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Package dfsaneacc updated to version 1.0.3 with previous version 1.0.2 dated 2024-01-18

Title: Accelerated Derivative-Free Method for Large-Scale Nonlinear Systems of Equations
Description: Secant acceleration applied to derivative-free Spectral Residual Methods for solving large-scale nonlinear systems of equations. The main reference follows: E. G. Birgin and J. M. Martinez (2022) <doi:10.1137/20M1388024>.
Author: Ernesto G. Birgin [aut, ctb], John L. Gardenghi [aut, cre, ctb, trl], Diaulas S. Marcondes [aut, ctb, trl], Jose M. Martinez [aut, ctb]
Maintainer: John L. Gardenghi <john.gardenghi@unb.br>

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Package WriteXLS updated to version 6.6.0 with previous version 6.5.0 dated 2024-01-09

Title: Cross-Platform Perl Based R Function to Create Excel 2003 (XLS) and Excel 2007 (XLSX) Files
Description: Cross-platform Perl based R function to create Excel 2003 (XLS) and Excel 2007 (XLSX) files from one or more data frames. Each data frame will be written to a separate named worksheet in the Excel spreadsheet. The worksheet name will be the name of the data frame it contains or can be specified by the user.
Author: Marc Schwartz <marc_schwartz@me.com> and various authors for Perl modules listed in each .pm file.
Maintainer: Marc Schwartz <marc_schwartz@me.com>

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Package sjPlot updated to version 2.8.16 with previous version 2.8.15 dated 2023-08-17

Title: Data Visualization for Statistics in Social Science
Description: Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, principal component analysis and correlation matrices, cluster analyses, scatter plots, stacked scales, effects plots of regression models (including interaction terms) and much more. This package supports labelled data.
Author: Daniel Luedecke [aut, cre] , Alexander Bartel [ctb] , Carsten Schwemmer [ctb], Chuck Powell [ctb] , Amir Djalovski [ctb], Johannes Titz [ctb]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package PamBinaries updated to version 1.9.0 with previous version 1.8.0 dated 2023-01-31

Title: Read and Process 'Pamguard' Binary Data
Description: Functions for easily reading and processing binary data files created by 'Pamguard' (<https://www.pamguard.org/>). All functions for directly reading the binary data files are based on 'MATLAB' code written by Michael Oswald.
Author: Taiki Sakai [aut, cre], Michael Oswald [aut], Douglas Gillespie [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>

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Package remstimate updated to version 2.3.9 with previous version 2.3.8 dated 2023-12-20

Title: Optimization Frameworks for Tie-Oriented and Actor-Oriented Relational Event Models
Description: A comprehensive set of tools designed for optimizing likelihood within a tie-oriented (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>) or an actor-oriented modelling framework (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>) in relational event networks. The package accommodates both frequentist and Bayesian approaches. The frequentist approaches that the package incorporates are the Maximum Likelihood Optimization (MLE) and the Gradient-based Optimization (GDADAMAX). The Bayesian methodologies included in the package are the Bayesian Sampling Importance Resampling (BSIR) and the Hamiltonian Monte Carlo (HMC). The flexibility of choosing between frequentist and Bayesian optimization approaches allows researchers to select the estimation approach which aligns the most with their analytical preferences.
Author: Giuseppe Arena [aut, cre] , Rumana Lakdawala [aut], Fabio Generoso Vieira [aut], Marlyne Meijerink-Bosman [ctb], Diana Karimova [ctb], Mahdi Shafiee Kamalabad [ctb], Roger Leenders [ctb], Joris Mulder [ctb]
Maintainer: Giuseppe Arena <g.arena@tilburguniversity.edu>

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Package tram updated to version 1.0-4 with previous version 1.0-3 dated 2024-04-16

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

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Package qtl2 updated to version 0.36 with previous version 0.34 dated 2023-11-28

Title: Quantitative Trait Locus Mapping in Experimental Crosses
Description: Provides a set of tools to perform quantitative trait locus (QTL) analysis in experimental crosses. It is a reimplementation of the 'R/qtl' package to better handle high-dimensional data and complex cross designs. Broman et al. (2019) <doi:10.1534/genetics.118.301595>.
Author: Karl W Broman [aut, cre] , R Core Team [ctb]
Maintainer: Karl W Broman <broman@wisc.edu>

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Package puremoe updated to version 1.0.1 with previous version 1.0.0 dated 2024-04-19

Title: Pubmed Unified REtrieval for Multi-Output Exploration
Description: Access a variety of 'PubMed' data through a single, user-friendly interface, including abstracts <https://pubmed.ncbi.nlm.nih.gov/>, bibliometrics from 'iCite' <https://icite.od.nih.gov/>, pubtations from 'PubTator3' <https://www.ncbi.nlm.nih.gov/research/pubtator3/>, and full-text records from 'PMC' <https://www.ncbi.nlm.nih.gov/pmc/>.
Author: Jason Timm [aut, cre]
Maintainer: Jason Timm <JaTimm@salud.unm.edu>

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Package nnTensor updated to version 1.3.0 with previous version 1.2.0 dated 2023-06-22

Title: Non-Negative Tensor Decomposition
Description: Some functions for performing non-negative matrix factorization, non-negative CANDECOMP/PARAFAC (CP) decomposition, non-negative Tucker decomposition, and generating toy model data. See Andrzej Cichock et al (2009) and the reference section of GitHub README.md <https://github.com/rikenbit/nnTensor>, for details of the methods.
Author: Koki Tsuyuzaki [aut, cre], Itoshi Nikaido [aut]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

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Package mix updated to version 1.0-12 with previous version 1.0-11 dated 2022-05-31

Title: Estimation/Multiple Imputation for Mixed Categorical and Continuous Data
Description: Estimation/multiple imputation programs for mixed categorical and continuous data.
Author: Original by Joseph L. Schafer <jls@stat.psu.edu>.
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>

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Package StatMatch updated to version 1.4.2 with previous version 1.4.1 dated 2022-03-01

Title: Statistical Matching or Data Fusion
Description: Integration of two data sources referred to the same target population which share a number of variables. Some functions can also be used to impute missing values in data sets through hot deck imputation methods. Methods to perform statistical matching when dealing with data from complex sample surveys are available too.
Author: Marcello D'Orazio
Maintainer: Marcello D'Orazio <mdo.statmatch@gmail.com>

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Package sjmisc updated to version 2.8.10 with previous version 2.8.9 dated 2021-12-03

Title: Data and Variable Transformation Functions
Description: Collection of miscellaneous utility functions, supporting data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. The data transformation functions also support labelled data, and all integrate seamlessly into a 'tidyverse'-workflow.
Author: Daniel Luedecke [aut, cre] , Iago Gine-Vazquez [ctb], Alexander Bartel [ctb]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package dataverse updated to version 0.3.14 with previous version 0.3.13 dated 2023-03-23

Title: Client for Dataverse 4+ Repositories
Description: Provides access to Dataverse APIs <https://dataverse.org/> (versions 4-5), enabling data search, retrieval, and deposit. For Dataverse versions <= 3.0, use the archived 'dvn' package <https://cran.r-project.org/package=dvn>.
Author: Shiro Kuriwaki [aut, cre] , Will Beasley [aut] , Thomas J. Leeper [aut] , Philip Durbin [aut] , Sebastian Karcher [aut] , Jan Kanis [ctb], Edward Jee [ctb], Johannes Gruber [ctb]
Maintainer: Shiro Kuriwaki <shirokuriwaki@gmail.com>

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New package qlcVisualize with initial version 0.2.1
Package: qlcVisualize
Title: Visualization for Quantitative Language Comparison
Description: Collection of visualizations as used in quantitative language comparison. Currently implemented are visualisations dealing nominal data with multiple levels ("level-map" and "level-image"), and assistance for making dialectal Voronoi maps.
Version: 0.2.1
Date: 2024-05-08
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0), mapdata
Imports: fields, MASS, qlcMatrix, seriation, spatstat.geom, geodata, maps, mapplots, methods, sp, sf, alphahull, RSpectra, polyCub
NeedsCompilation: no
Packaged: 2024-05-11 10:22:55 UTC; cysouw
Author: Michael Cysouw [aut, cre]
Maintainer: Michael Cysouw <cysouw@mac.com>
Repository: CRAN
Date/Publication: 2024-05-13 11:40:02 UTC

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New package microdiluteR with initial version 1.0.1
Package: microdiluteR
Title: Analysis of Broth Microdilution Assays
Version: 1.0.1
Date: 2024-04-16
Description: A framework for analyzing broth microdilution assays in various 96-well plate designs, visualizing results and providing descriptive and (simple) inferential statistics (i.e. summary statistics and sign test). The functions are designed to add metadata to 8 x 12 tables of absorption values, creating a tidy data frame. Users can choose between clean-up procedures via function parameters (which covers most cases) or user prompts (in cases with complex experimental designs). Users can also choose between two validation methods, i.e. exclusion of absorbance values above a certain threshold or manual exclusion of samples. A function for visual inspection of samples with their absorption values over time for certain group combinations helps with the decision. In addition, the package includes functions to subtract the background absorption (usually at time T0) and to calculate the growth performance compared to a baseline. Samples can be visually inspected with their absorption values displa [...truncated...]
URL: https://silvia-eckert.github.io/microdiluteR/
BugReports: https://github.com/silvia-eckert/microdiluteR/issues
License: GPL (>= 3)
Depends: R (>= 4.3)
Imports: dplyr (>= 1.1.4), ggh4x (>= 0.2.8), ggplot2 (>= 3.5.0), ggthemes (>= 5.0.1), magrittr (>= 2.0.3), purrr (>= 1.0.2), rlang (>= 1.1.3), rstatix (>= 0.7.2), stringr (>= 1.5.1), tibble (>= 3.2.1), tools (>= 4.3.3), vctrs (>= 0.6.5)
Suggests: knitr (>= 1.4.6), rmarkdown (>= 2.26), testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-10 18:10:52 UTC; Silvia
Author: Silvia Eckert [aut, cre]
Maintainer: Silvia Eckert <seckert-dev@posteo.de>
Repository: CRAN
Date/Publication: 2024-05-13 11:23:25 UTC

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Package harbinger updated to version 1.0.787 with previous version 1.0.777 dated 2024-05-04

Title: A Unified Time Series Event Detection Framework
Description: By analyzing time series, it is possible to observe significant changes in the behavior of observations that frequently characterize events. Events present themselves as anomalies, change points, or motifs. In the literature, there are several methods for detecting events. However, searching for a suitable time series method is a complex task, especially considering that the nature of events is often unknown. This work presents Harbinger, a framework for integrating and analyzing event detection methods. Harbinger contains several state-of-the-art methods described in Salles et al. (2020) <doi:10.5753/sbbd.2020.13626>.
Author: Eduardo Ogasawara [aut, ths, cre] , Antonio Castro [aut], Antonio Mello [aut], Ellen Paixao [aut], Fernando Fraga [aut], Heraldo Borges [aut], Janio Lima [aut], Jessica Souza [aut], Lais Baroni [aut], Lucas Tavares [aut], Rebecca Salles [aut], Diego [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

Diff between harbinger versions 1.0.777 dated 2024-05-04 and 1.0.787 dated 2024-05-13

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New package ggspark with initial version 0.0.2
Package: ggspark
Title: 'ggplot2' Functions to Create Tufte Style Sparklines
Version: 0.0.2
Date: 2024-05-09
Description: Functions to help with creating sparklines in the style of Edward Tufte <https://www.edwardtufte.com/bboard/q-and-a-fetch-msg?msg_id=0001OR&topic_id=1> in 'ggplot2'. It computes ribbon geoms with the interquartile ranges and points and/or labels at the beginning, end, max, and min points.
License: GPL (>= 2)
Suggests: tinytest, tinysnapshot, rsvg, svglite, ggrepel, fontquiver
Imports: ggplot2
Encoding: UTF-8
Language: en-GB
URL: https://github.com/marcboschmatas/ggspark
BugReports: https://github.com/marcboschmatas/ggspark/issues
NeedsCompilation: no
Packaged: 2024-05-11 12:44:22 UTC; marc
Author: Marc Bosch Matas [aut, cre, cph]
Maintainer: Marc Bosch Matas <mboschmatas@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-13 11:43:12 UTC

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New package fastkqr with initial version 1.0.0
Package: fastkqr
Title: A Fast Algorithm for Kernel Quantile Regression
Version: 1.0.0
Date: 2024-05-07
Maintainer: Qian Tang <qian-tang@uiowa.edu>
Description: An efficient algorithm to fit and tune kernel quantile regression models based on the majorization-minimization (MM) method. It can also fit multiple quantile curves simultaneously without crossing.
Depends: R (>= 3.5.0), methods
Imports: graphics, grDevices, stats, utils, dotCall64, rlang, MASS, Matrix
License: GPL-2
NeedsCompilation: yes
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2024-05-10 15:33:37 UTC; qtang7
Author: Qian Tang [aut, cre], Yuwen Gu [aut], Boxiang Wang [aut]
Repository: CRAN
Date/Publication: 2024-05-13 11:13:15 UTC

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New package eider with initial version 1.0.0
Package: eider
Title: Declarative Feature Extraction from Tabular Data Records
Version: 1.0.0
Description: Extract features from tabular data in a declarative fashion, with a focus on processing medical records. Features are specified as JSON and are independently processed before being joined. Input data can be provided as CSV files or as data frames. This setup ensures that data is transformed in a modular and reproducible manner, and allows the same pipeline to be easily applied to new data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, lubridate, stringr, magrittr, jsonlite, logger, purrr, fs, tibble, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
URL: https://github.com/alan-turing-institute/eider
BugReports: https://github.com/alan-turing-institute/eider/issues
NeedsCompilation: no
Packaged: 2024-05-10 15:14:18 UTC; jyong
Author: Catalina Vallejos [ctb] , Louis Aslett [ctb] , Simon Rogers [ctb] , Camila Rangel Smith [cre, ctb] , Helen Duncan Little [aut] , Jonathan Yong [aut] , The Alan Turing Institute [cph, fnd]
Maintainer: Camila Rangel Smith <crangelsmith@turing.ac.uk>
Repository: CRAN
Date/Publication: 2024-05-13 11:13:19 UTC

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New package DatastreamR with initial version 2.0.4
Package: DatastreamR
Title: Datastream API
Version: 2.0.4
Description: Access Datastream content through <https://product.datastream.com/dswsclient/Docs/Default.aspx>., our historical financial database with over 35 million individual instruments or indicators across all major asset classes, including over 19 million active economic indicators. It features 120 years of data, across 175 countries – the information you need to interpret market trends, economic cycles, and the impact of world events. Data spans bond indices, bonds, commodities, convertibles, credit default swaps, derivatives, economics, energy, equities, equity indices, ESG, estimates, exchange rates, fixed income, funds, fundamentals, interest rates, and investment trusts. Unique content includes I/B/E/S Estimates, Worldscope Fundamentals, point-in-time data, and Reuters Polls. Alongside the content, sit a set of powerful analytical tools for exploring relationships between different asset types, with a library of customizable analytical functions. In-house timeseries can als [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Imports: httr, jsonlite, logger, ini, stringr, methods
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-05-09 07:34:05 UTC; ux010740
Author: LSEG [aut, cre]
Maintainer: LSEG (Datastream) <datastreamapi@lseg.com>
Repository: CRAN
Date/Publication: 2024-05-13 11:03:16 UTC

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Package calibmsm updated to version 1.1.0 with previous version 1.0.0 dated 2023-11-30

Title: Calibration Plots for the Transition Probabilities from Multistate Models
Description: Assess the calibration of an existing (i.e. previously developed) multistate model through calibration plots. Calibration is assessed using one of three methods. 1) Calibration methods for binary logistic regression models applied at a fixed time point in conjunction with inverse probability of censoring weights. 2) Calibration methods for multinomial logistic regression models applied at a fixed time point in conjunction with inverse probability of censoring weights. 3) Pseudo-values estimated using the Aalen-Johansen estimator of observed risk. All methods are applied in conjunction with landmarking when required. These calibration plots evaluate the calibration (in a validation cohort of interest) of the transition probabilities estimated from an existing multistate model. While package development has focused on multistate models, calibration plots can be produced for any model which utilises information post baseline to update predictions (e.g. dynamic models); competing risks mod [...truncated...]
Author: Alexander Pate [aut, cre, cph] , Glen P Martin [fnd, rev]
Maintainer: Alexander Pate <alexander.pate@manchester.ac.uk>

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Package rsleep (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:

2024-03-09 1.0.12

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Package tsdistributions updated to version 1.0.1 with previous version 1.0.0 dated 2024-03-17

Title: Location Scale Standardized Distributions
Description: Location-Scale based distributions parameterized in terms of mean, standard deviation, skew and shape parameters and estimation using automatic differentiation. Distributions include the Normal, Student and GED as well as their skewed variants ('Fernandez and Steel'), the 'Johnson SU', and the Generalized Hyperbolic. Also included is the semi-parametric piece wise distribution ('spd') with Pareto tails and kernel interior.
Author: Alexios Galanos [aut, cre, cph]
Maintainer: Alexios Galanos <alexios@4dscape.com>

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Package imager updated to version 1.0.2 with previous version 1.0.1 dated 2024-04-26

Title: Image Processing Library Based on 'CImg'
Description: Fast image processing for images in up to 4 dimensions (two spatial dimensions, one time/depth dimension, one colour dimension). Provides most traditional image processing tools (filtering, morphology, transformations, etc.) as well as various functions for easily analysing image data using R. The package wraps 'CImg', <http://cimg.eu>, a simple, modern C++ library for image processing.
Author: Simon Barthelme [aut], David Tschumperle [ctb], Jan Wijffels [ctb], Haz Edine Assemlal [ctb], Shota Ochi [ctb], Aaron Robotham [cre], Rodrigo Tobar [ctb]
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>

Diff between imager versions 1.0.1 dated 2024-04-26 and 1.0.2 dated 2024-05-13

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Package ggscidca updated to version 0.2.1 with previous version 0.2.0 dated 2024-03-20

Title: Plotting Decision Curve Analysis with Coloured Bars
Description: Decision curve analysis is a method for evaluating and comparing prediction models that incorporates clinical consequences, requires only the data set on which the models are tested, and can be applied to models that have either continuous or dichotomous results. The 'ggscidca' package adds coloured bars of discriminant relevance to the traditional decision curve. Improved practicality and aesthetics. This method was described by Balachandran VP (2015) <doi:10.1016/S1470-2045(14)71116-7>.
Author: Qiang Liu [aut, cre]
Maintainer: Qiang Liu <dege857@163.com>

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Package farver updated to version 2.1.2 with previous version 2.1.1 dated 2022-07-06

Title: High Performance Colour Space Manipulation
Description: The encoding of colour can be handled in many different ways, using different colour spaces. As different colour spaces have different uses, efficient conversion between these representations are important. The 'farver' package provides a set of functions that gives access to very fast colour space conversion and comparisons implemented in C++, and offers speed improvements over the 'convertColor' function in the 'grDevices' package.
Author: Thomas Lin Pedersen [cre, aut] , Berendea Nicolae [aut] , Romain Francois [aut] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package rswipl updated to version 9.3.5.1 with previous version 9.3.5 dated 2024-05-01

Title: Embed 'SWI'-'Prolog'
Description: Interface to 'SWI'-'Prolog', <https://www.swi-prolog.org/>. This package is normally not loaded directly, please refer to package 'rolog' instead. The purpose of this package is to provide the 'Prolog' runtime on systems that do not have a software installation of 'SWI'-'Prolog'.
Author: Matthias Gondan [aut, com, cre] , Jan Wielemaker [ctb, cph] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

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New package hmmm with initial version 1.0-5
Package: hmmm
Version: 1.0-5
Date: 2024-05-08
Title: Hierarchical Multinomial Marginal Models
Description: Functions for specifying and fitting marginal models for contingency tables proposed by Bergsma and Rudas (2002) <doi:10.1214/aos/1015362188> here called hierarchical multinomial marginal models (hmmm) and their extensions presented by Bartolucci, Colombi and Forcina (2007) <https://www.jstor.org/stable/24307737>; multinomial Poisson homogeneous (mph) models and homogeneous linear predictor (hlp) models for contingency tables proposed by Lang (2004) <doi:10.1214/aos/1079120140> and Lang (2005) <doi:10.1198/016214504000001042>. Inequality constraints on the parameters are allowed and can be tested.
Imports: quadprog, MASS, mvtnorm, nleqslv, methods
License: GPL (>= 2)
Repository: CRAN
URL: https://www.r-project.org
NeedsCompilation: no
Packaged: 2024-05-09 10:27:29 UTC; rcolombi
Author: Roberto Colombi [aut, cre], Sabrina Giordano [aut], Manuela Cazzaro [aut], Joseph Lang [ctb]
Maintainer: Roberto Colombi <colombi@unibg.it>
Date/Publication: 2024-05-13 08:43:15 UTC

More information about hmmm at CRAN
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Package robusTest (with last version 1.0.1) was removed from CRAN

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

2022-12-15 1.0.1
2022-11-16 1.0.0

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