Mon, 22 Jan 2024

Package tidygate updated to version 0.4.10 with previous version 0.4.9 dated 2022-01-20

Title: Add Gate Information to Your Tibble
Description: It interactively or programmatically label points within custom gates on two dimensions <https://github.com/stemangiola/tidygate>. The information is added to your tibble. It is based on the package 'gatepoints' from Wajid Jawaid (who is also author of this package). The code of 'gatepoints' was nto integrated in 'tidygate'. The benefits are (i) in interactive mode you can draw your gates on extensive 'ggplot'-like scatter plots; (ii) you can draw multiple gates; and (iii) you can save your gates and apply the programmatically.
Author: Stefano Mangiola [aut, cre], Wajid Jawaid [ctb]
Maintainer: Stefano Mangiola <mangiolastefano@gmail.com>

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Package QTLEMM updated to version 1.5.0 with previous version 1.4.1 dated 2023-10-23

Title: QTL Mapping and Hotspots Detection
Description: For QTL mapping, it consists of several functions to perform various tasks, including simulating or analyzing data, computing the significance thresholds and visualizing the QTL mapping results. The single-QTL or multiple-QTL method that allows a host of statistical models to be fitted and compared is applied to analyze the data for the estimation of QTL parameters. The models include the linear regression, permutation test, normal mixture model and truncated normal mixture model. The Gaussian stochastic process is implemented to compute the significance thresholds for QTL detection onto a genetic linkage map in the experimental populations. Two types of data, the complete genotyping or selective genotyping data, from various experimental populations, including backcross, F2, recombinant inbred (RI) populations, and advanced intercrossed (AI) populations, are considered in the QTL mapping analysis. For QTL hotspot detection, the statistical methods can be developed based on either usin [...truncated...]
Author: Ping-Yuan Chung [cre], Chen-Hung Kao [aut], Y.-T. Guo [aut], H.-N. Ho [aut], H.-I. Lee [aut], P.-Y. Wu [aut], M.-H. Yang [aut], M.-H. Zeng [aut]
Maintainer: Ping-Yuan Chung <pychung@webmail.stat.sinica.edu.tw>

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Package CGGP updated to version 1.0.4 with previous version 1.0.3 dated 2021-05-08

Title: Composite Grid Gaussian Processes
Description: Run computer experiments using the adaptive composite grid algorithm with a Gaussian process model. The algorithm works best when running an experiment that can evaluate thousands of points from a deterministic computer simulation. This package is an implementation of a forthcoming paper by Plumlee, Erickson, Ankenman, et al. For a preprint of the paper, contact the maintainer of this package.
Author: Collin Erickson [aut, cre], Matthew Plumlee [aut]
Maintainer: Collin Erickson <collinberickson@gmail.com>

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Package retry updated to version 0.1.1 with previous version 0.1.0 dated 2020-04-23

Title: Repeated Evaluation
Description: Provide simple mechanism to repeatedly evaluate an expression until either it succeeds or timeout exceeded. It is useful in situations that random failures could happen.
Author: Randy Lai [aut, cre]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

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Package otp updated to version 0.1.1 with previous version 0.1.0 dated 2020-05-05

Title: One Time Password Generation and Verification
Description: Generating and validating One-time Password based on Hash-based Message Authentication Code (HOTP) and Time Based One-time Password (TOTP) according to RFC 4226 <https://datatracker.ietf.org/doc/html/rfc4226> and RFC 6238 <https://datatracker.ietf.org/doc/html/rfc6238>.
Author: Randy Lai [aut, cre, cph]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

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Package GLDreg updated to version 1.1.1 with previous version 1.1.0 dated 2022-05-13

Title: Fit GLD Regression/Quantile/AFT Model to Data
Description: Owing to the rich shapes of Generalised Lambda Distributions (GLDs), GLD standard/quantile/Accelerated Failure Time (AFT) regression is a competitive flexible model compared to standard/quantile/AFT regression. The proposed method has some major advantages: 1) it provides a reference line which is very robust to outliers with the attractive property of zero mean residuals and 2) it gives a unified, elegant quantile regression model from the reference line with smooth regression coefficients across different quantiles. For AFT model, it also eliminates the needs to try several different AFT models, owing to the flexible shapes of GLD. The goodness of fit of the proposed model can be assessed via QQ plots and Kolmogorov-Smirnov tests and data driven smooth test, to ensure the appropriateness of the statistical inference under consideration. Statistical distributions of coefficients of the GLD regression line are obtained using simulation, and interval estimates are obtained directly fro [...truncated...]
Author: Steve Su [aut, cre, cph] , R Core Team [aut]
Maintainer: Steve Su <allegro.su@gmail.com>

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Package odbc updated to version 1.4.2 with previous version 1.4.1 dated 2023-12-21

Title: Connect to ODBC Compatible Databases (using the DBI Interface)
Description: A DBI-compatible interface to ODBC databases.
Author: Jim Hester [aut], Hadley Wickham [aut, cre], Oliver Gjoneski [aut], lexicalunit [cph] , Google Inc. [cph] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package cowplot updated to version 1.1.3 with previous version 1.1.2 dated 2023-12-15

Title: Streamlined Plot Theme and Plot Annotations for 'ggplot2'
Description: Provides various features that help with creating publication-quality figures with 'ggplot2', such as a set of themes, functions to align plots and arrange them into complex compound figures, and functions that make it easy to annotate plots and or mix plots with images. The package was originally written for internal use in the Wilke lab, hence the name (Claus O. Wilke's plot package). It has also been used extensively in the book Fundamentals of Data Visualization.
Author: Claus O. Wilke [aut, cre]
Maintainer: Claus O. Wilke <wilke@austin.utexas.edu>

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Package liayson (with last version 1.0.5) was removed from CRAN

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2022-09-29 1.0.5

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Package MM2S (with last version 1.0.6) was removed from CRAN

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2023-03-22 0.2.0

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Package Covid19Wastewater (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:

2023-08-24 1.0.1
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Package defm (with last version 0.1-1) was removed from CRAN

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Package ecm updated to version 7.2.0 with previous version 7.0.0 dated 2023-08-22

Title: Build Error Correction Models
Description: Functions for easy building of error correction models (ECM) for time series regression.
Author: Gaurav Bansal
Maintainer: Gaurav Bansal <gaurbans@gmail.com>

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Package demic updated to version 2.0.0 with previous version 1.0.3 dated 2024-01-11

Title: Dynamic Estimator of Microbial Communities
Description: Multi-sample algorithm based on contigs and coverage values, to infer the relative distances of contigs from the replication origin and to accurately compare bacterial growth rates between samples. Yuan Gao and Hongzhe Li (2018) <doi:10.1038/s41592-018-0182-0>.
Author: Yuan Gao [aut, cph], Charlie Bushman [cre]
Maintainer: Charlie Bushman <ctbushman@gmail.com>

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Package cat2cat updated to version 0.4.7 with previous version 0.4.6 dated 2023-02-01

Title: Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset
Description: Unifying an inconsistently coded categorical variable between two different time points in accordance with a mapping table. The main rule is to replicate the observation if it could be assigned to a few categories. Then using frequencies or statistical methods to approximate the probabilities of being assigned to each of them. This procedure was invented and implemented in the paper by Nasinski, Majchrowska, and Broniatowska (2020) <doi:10.24425/cejeme.2020.134747>.
Author: Maciej Nasinski [aut, cre]
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>

Diff between cat2cat versions 0.4.6 dated 2023-02-01 and 0.4.7 dated 2024-01-22

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Package roxygen2 updated to version 7.3.1 with previous version 7.3.0 dated 2024-01-11

Title: In-Line Documentation for R
Description: Generate your Rd documentation, 'NAMESPACE' file, and collation field using specially formatted comments. Writing documentation in-line with code makes it easier to keep your documentation up-to-date as your requirements change. 'roxygen2' is inspired by the 'Doxygen' system for C++.
Author: Hadley Wickham [aut, cre, cph] , Peter Danenberg [aut, cph], Gabor Csardi [aut], Manuel Eugster [aut, cph], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package readBrukerFlexData updated to version 1.9.2 with previous version 1.9.1 dated 2023-04-01

Title: Reads Mass Spectrometry Data in Bruker *flex Format
Description: Reads data files acquired by Bruker Daltonics' matrix-assisted laser desorption/ionization-time-of-flight mass spectrometer of the *flex series.
Author: Sebastian Gibb [aut, cre] , Samuel Granjeaud [ctb], Alan Race [ctb]
Maintainer: Sebastian Gibb <mail@sebastiangibb.de>

Diff between readBrukerFlexData versions 1.9.1 dated 2023-04-01 and 1.9.2 dated 2024-01-22

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Package rddensity updated to version 2.5 with previous version 2.4 dated 2023-01-21

Title: Manipulation Testing Based on Density Discontinuity
Description: Density discontinuity testing (a.k.a. manipulation testing) is commonly employed in regression discontinuity designs and other program evaluation settings to detect perfect self-selection (manipulation) around a cutoff where treatment/policy assignment changes. This package implements manipulation testing procedures using the local polynomial density estimators: rddensity() to construct test statistics and p-values given a prespecified cutoff, rdbwdensity() to perform data-driven bandwidth selection, and rdplotdensity() to construct density plots.
Author: Matias D. Cattaneo, Michael Jansson, Xinwei Ma
Maintainer: Xinwei Ma <x1ma@ucsd.edu>

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Package MultiscaleDTM updated to version 0.8.3 with previous version 0.8.2 dated 2023-09-15

Title: Multi-Scale Geomorphometric Terrain Attributes
Description: Calculates multi-scale geomorphometric terrain attributes from regularly gridded digital terrain models using a variable focal windows size (Ilich et al. (2023) <doi:10.1111/tgis.13067>).
Author: Alexander Ilich [aut, cre] , Vincent Lecours [aut], Benjamin Misiuk [aut], Steven Murawski [aut]
Maintainer: Alexander Ilich <ailich@usf.edu>

Diff between MultiscaleDTM versions 0.8.2 dated 2023-09-15 and 0.8.3 dated 2024-01-22

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Package MazamaTimeSeries updated to version 0.2.16 with previous version 0.2.15 dated 2023-09-22

Title: Core Functionality for Environmental Time Series
Description: Utility functions for working with environmental time series data from known locations. The compact data model is structured as a list with two dataframes. A 'meta' dataframe contains spatial and measuring device metadata associated with deployments at known locations. A 'data' dataframe contains a 'datetime' column followed by columns of measurements associated with each "device-deployment". Ephemerides calculations are based on code originally found in NOAA's "Solar Calculator" <https://gml.noaa.gov/grad/solcalc/>.
Author: Jonathan Callahan [aut, cre], Hans Martin [ctb], Eli Grosman [ctb], Roger Bivand [ctb], Sebastian Luque [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between MazamaTimeSeries versions 0.2.15 dated 2023-09-22 and 0.2.16 dated 2024-01-22

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Package MatrixExtra updated to version 0.1.15 with previous version 0.1.14 dated 2023-08-20

Title: Extra Methods for Sparse Matrices
Description: Extends sparse matrix and vector classes from the 'Matrix' package by providing: (a) Methods and operators that work natively on CSR formats (compressed sparse row, a.k.a. 'RsparseMatrix') such as slicing/sub-setting, assignment, rbind(), mathematical operators for CSR and COO such as addition ("+") or sqrt(), and methods such as diag(); (b) Multi-threaded matrix multiplication and cross-product for many <sparse, dense> types, including the 'float32' type from 'float'; (c) Coercion methods between pairs of classes which are not present in 'Matrix', such as 'dgCMatrix' -> 'ngRMatrix', as well as convenience conversion functions; (d) Utility functions for sparse matrices such as sorting the indices or removing zero-valued entries; (e) Fast transposes that work by outputting in the opposite storage format; (f) Faster replacements for many 'Matrix' methods for all sparse types, such as slicing and elementwise multiplication. (g) Convenience functions for sparse objects, such as 'm [...truncated...]
Author: David Cortes [aut, cre, cph], Dmitry Selivanov [cph], Thibaut Goetghebuer-Planchon [cph] , Martin Maechler [cph] , Robert Gentleman [cph] , Ross Ihaka [cph]
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package MALDIquantForeign updated to version 0.14.1 with previous version 0.14 dated 2023-08-11

Title: Import/Export Routines for 'MALDIquant'
Description: Functions for reading (tab, csv, Bruker fid, Ciphergen XML, mzXML, mzML, imzML, Analyze 7.5, CDF, mMass MSD) and writing (tab, csv, mMass MSD, mzML, imzML) different file formats of mass spectrometry data into/from 'MALDIquant' objects.
Author: Sebastian Gibb [aut, cre] , Pietro Franceschi [ctb]
Maintainer: Sebastian Gibb <mail@sebastiangibb.de>

Diff between MALDIquantForeign versions 0.14 dated 2023-08-11 and 0.14.1 dated 2024-01-22

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Package MALDIquant updated to version 1.22.2 with previous version 1.22.1 dated 2023-03-20

Title: Quantitative Analysis of Mass Spectrometry Data
Description: A complete analysis pipeline for matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) and other two-dimensional mass spectrometry data. In addition to commonly used plotting and processing methods it includes distinctive features, namely baseline subtraction methods such as morphological filters (TopHat) or the statistics-sensitive non-linear iterative peak-clipping algorithm (SNIP), peak alignment using warping functions, handling of replicated measurements as well as allowing spectra with different resolutions.
Author: Sebastian Gibb [aut, cre] , Korbinian Strimmer [ths] , Sigurdur Smarason [ctb], Laurent Gatto [ctb] , Paolo Inglese [ctb]
Maintainer: Sebastian Gibb <mail@sebastiangibb.de>

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Package GCalignR updated to version 1.0.6 with previous version 1.0.5 dated 2023-01-26

Title: Simple Peak Alignment for Gas-Chromatography Data
Description: Aligns peak based on peak retention times and matches homologous peaks across samples. The underlying alignment procedure comprises three sequential steps. (1) Full alignment of samples by linear transformation of retention times to maximise similarity among homologous peaks (2) Partial alignment of peaks within a user-defined retention time window to cluster homologous peaks (3) Merging rows that are likely representing homologous substances (i.e. no sample shows peaks in both rows and the rows have similar retention time means). The algorithm is described in detail in Ottensmann et al., 2018 <doi:10.1371/journal.pone.0198311>.
Author: Meinolf Ottensmann [aut, cre] , Martin Stoffel [aut], Hazel J. Nichols [aut], Joseph I. Hoffman [aut]
Maintainer: Meinolf Ottensmann <meinolf.ottensmann@web.de>

Diff between GCalignR versions 1.0.5 dated 2023-01-26 and 1.0.6 dated 2024-01-22

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Package diceR updated to version 2.2.0 with previous version 2.1.0 dated 2023-09-28

Title: Diverse Cluster Ensemble in R
Description: Performs cluster analysis using an ensemble clustering framework, Chiu & Talhouk (2018) <doi:10.1186/s12859-017-1996-y>. Results from a diverse set of algorithms are pooled together using methods such as majority voting, K-Modes, LinkCluE, and CSPA. There are options to compare cluster assignments across algorithms using internal and external indices, visualizations such as heatmaps, and significance testing for the existence of clusters.
Author: Derek Chiu [aut, cre], Aline Talhouk [aut], Johnson Liu [ctb, com]
Maintainer: Derek Chiu <dchiu@bccrc.ca>

Diff between diceR versions 2.1.0 dated 2023-09-28 and 2.2.0 dated 2024-01-22

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Package sharp updated to version 1.4.5 with previous version 1.4.4 dated 2023-10-21

Title: Stability-enHanced Approaches using Resampling Procedures
Description: In stability selection (N Meinshausen, P Bühlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x>) and consensus clustering (S Monti et al (2003) <doi:10.1023/A:1023949509487>), resampling techniques are used to enhance the reliability of the results. In this package, hyper-parameters are calibrated by maximising model stability, which is measured under the null hypothesis that all selection (or co-membership) probabilities are identical (B Bodinier et al (2023a) <doi:10.1093/jrsssc/qlad058> and B Bodinier et al (2023b) <doi:10.1093/bioinformatics/btad635>). Functions are readily implemented for the use of LASSO regression, sparse PCA, sparse (group) PLS or graphical LASSO in stability selection, and hierarchical clustering, partitioning around medoids, K means or Gaussian mixture models in consensus clustering.
Author: Barbara Bodinier [aut, cre]
Maintainer: Barbara Bodinier <barbara.bodinier@gmail.com>

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New package secretbase with initial version 0.1.0
Package: secretbase
Title: Cryptographic Hash and Extendable-Output Functions
Version: 0.1.0
Description: SHA-3 cryptographic hash and SHAKE256 extendable-output functions (XOF). The SHA-3 Secure Hash Standard was published by the National Institute of Standards and Technology (NIST) in 2015 at <doi:10.6028/NIST.FIPS.202>. Fast and memory-efficient implementation using the core algorithm from 'Mbed TLS' under the Trusted Firmware Project <https://www.trustedfirmware.org/projects/mbed-tls/>.
License: GPL (>= 3)
BugReports: https://github.com/shikokuchuo/secretbase/issues
URL: https://shikokuchuo.net/secretbase/, https://github.com/shikokuchuo/secretbase/
Encoding: UTF-8
Depends: R (>= 3.5)
NeedsCompilation: yes
Packaged: 2024-01-22 08:17:56 UTC; cg334
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>
Repository: CRAN
Date/Publication: 2024-01-22 20:00:03 UTC

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Package roloc updated to version 0.1-2 with previous version 0.1-1 dated 2018-07-30

Title: Convert Colour Specification to Colour Name
Description: Functions to convert an R colour specification to a colour name. The user can select and create different lists of colour names and different colour metrics for the conversion.
Author: Paul Murrell
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>

Diff between roloc versions 0.1-1 dated 2018-07-30 and 0.1-2 dated 2024-01-22

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Package GLCMTextures updated to version 0.4.1 with previous version 0.3.9 dated 2023-11-10

Title: GLCM Textures of Raster Layers
Description: Calculates grey level co-occurrence matrix (GLCM) based texture measures (Hall-Beyer (2017) <https://prism.ucalgary.ca/bitstream/handle/1880/51900/texture%20tutorial%20v%203_0%20180206.pdf>; Haralick et al. (1973) <doi:10.1109/TSMC.1973.4309314>) of raster layers using a sliding rectangular window. It also includes functions to quantize a raster into grey levels as well as tabulate a glcm and calculate glcm texture metrics for a matrix.
Author: Alexander Ilich [aut, cre]
Maintainer: Alexander Ilich <ailich@usf.edu>

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Package gapmap updated to version 1.0.0 with previous version 0.1.0 dated 2021-04-19

Title: Drawing Gapped Cluster Heatmaps with 'ggplot2'
Description: The gap encodes the distance between clusters and improves interpretation of cluster heatmaps. The gaps can be of the same distance based on a height threshold to cut the dendrogram. Another option is to vary the size of gaps based on the distance between clusters.
Author: Ryo Sakai [aut], Evan Biederstedt [cre, aut]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

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Package ctrdata updated to version 1.17.0 with previous version 1.16.0 dated 2023-11-24

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>

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Package comclim updated to version 0.9.6 with previous version 0.9.5 dated 2018-05-30

Title: Community Climate Statistics
Description: Computes community climate statistics for volume and mismatch using species' climate niches either unscaled or scaled relative to a regional species pool. These statistics can be used to describe biogeographic patterns and infer community assembly processes. Includes a vignette outlining usage.
Author: Benjamin Blonder
Maintainer: Benjamin Blonder <benjamin.blonder@berkeley.edu>

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New package cliot with initial version 0.1.0
Package: cliot
Title: Clinical Indices and Outcomes Tools
Version: 0.1.0
Author: Neel Agarwal <nxa357@case.edu>
Maintainer: Neel Agarwal <neel.agarwal.216@gmail.com>
Description: Collection of indices and tools relating to cardiovascular, nephrology, and hepatic research that aid epidemiological or retrospective review. All indices and tools take commonly used lab values and patient demographics and measurements to compute various risk and predictive values for survival. References to original literature and validation contained in each function documentation.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-01-12 02:41:49 UTC; neelagarwal
Repository: CRAN
Date/Publication: 2024-01-22 20:22:46 UTC

More information about cliot at CRAN
Permanent link

Package bigrquery updated to version 1.5.0 with previous version 1.4.2 dated 2023-04-20

Title: An Interface to Google's 'BigQuery' 'API'
Description: Easily talk to Google's 'BigQuery' database from R.
Author: Hadley Wickham [aut, cre] , Jennifer Bryan [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package ascii updated to version 2.6 with previous version 2.4 dated 2020-09-17

Title: Export R Objects to Several Markup Languages
Description: Coerce R object to 'asciidoc', 'txt2tags', 'restructuredText', 'org', 'textile' or 'pandoc' syntax. Package comes with a set of drivers for 'Sweave'.
Author: David Hajage [aut], Mark Clements [cre, ctb], Seth Falcon [ctb], Terry Therneau [ctb], Matti Pastell [ctb], Friedrich Leisch [ctb]
Maintainer: Mark Clements <mark.clements@ki.se>

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Package ramchoice updated to version 2.2 with previous version 2.1 dated 2022-05-23

Title: Revealed Preference and Attention Analysis in Random Limited Attention Models
Description: It is widely documented in psychology, economics and other disciplines that socio-economic agent may not pay full attention to all available alternatives, rendering standard revealed preference theory invalid. This package implements the estimation and inference procedures of Cattaneo, Ma, Masatlioglu and Suleymanov (2020) <arXiv:1712.03448> and Cattaneo, Cheung, Ma, and Masatlioglu (2022) <arXiv:2110.10650>, which utilizes standard choice data to partially identify and estimate a decision maker's preference and attention. For inference, several simulation-based critical values are provided.
Author: Matias D. Cattaneo, Paul Cheung, Xinwei Ma, Yusufcan Masatlioglu, Elchin Suleymanov
Maintainer: Xinwei Ma <x1ma@ucsd.edu>

Diff between ramchoice versions 2.1 dated 2022-05-23 and 2.2 dated 2024-01-22

 DESCRIPTION                           |    8 ++++----
 MD5                                   |   30 +++++++++++++++---------------
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Package magree updated to version 1.2 with previous version 1.1 dated 2020-09-03

Title: Implements the O'Connell-Dobson-Schouten Estimators of Agreement for Multiple Observers
Description: Implements an interface to the legacy Fortran code from O'Connell and Dobson (1984) <DOI:10.2307/2531148>. Implements Fortran 77 code for the methods developed by Schouten (1982) <DOI:10.1111/j.1467-9574.1982.tb00774.x>. Includes estimates of average agreement for each observer and average agreement for each subject.
Author: Mark Clements, Dianne O'Connell
Maintainer: Mark Clements <mark.clements@ki.se>

Diff between magree versions 1.1 dated 2020-09-03 and 1.2 dated 2024-01-22

 magree-1.1/magree/data/landis.R               |only
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New package tinytable with initial version 0.0.1
Package: tinytable
Title: Simple and Configurable Tables in 'HTML', 'LaTeX', 'Markdown', 'Word', and 'PNG' Formats
Description: Create highly customized tables with this simple and dependency-free package. Data frames can be converted to 'HTML', 'LaTeX', 'Markdown', 'Word' or 'PNG' tables. The user interface is minimalist and the syntax concise. 'HTML' tables can be customized using the flexible 'Bootstrap' framework, and 'LaTeX' code with the 'tabularray' package.
Version: 0.0.1
Depends: R (>= 4.1.0)
Enhances: knitr
Suggests: altdoc, ggplot2, markdown, palmerpenguins, pandoc, rmarkdown, rstudioapi, tinysnapshot, tinytest, tinytex, webshot2
URL: https://vincentarelbundock.github.io/tinytable/, https://github.com/vincentarelbundock/tinytable/
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-01-22 04:28:09 UTC; vincent
Author: Vincent Arel-Bundock [aut, cre]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>
Repository: CRAN
Date/Publication: 2024-01-22 18:20:02 UTC

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New package tabxplor with initial version 1.1.1
Package: tabxplor
Title: User-Friendly Tables with Color Helpers for Data Exploration
Version: 1.1.1
Description: Make it easy to deal with multiple cross-tables in data exploration, by creating them, manipulating them, and adding color helpers to highlight important informations (differences from totals, comparisons between lines or columns, contributions to variance, margins of error, etc.). All functions are pipe-friendly and render data frames which can be easily manipulated. In the same time, time-taking operations are done with 'data.table' to go faster with big dataframes. Tables can be exported to 'Excel' and in html with formats and colors.
URL: https://github.com/BriceNocenti/tabxplor
BugReports: https://github.com/BriceNocenti/tabxplor/issues
License: GPL (>= 3)
Encoding: UTF-8
Suggests: fansi (>= 0.5.0), htmltools (>= 0.5.0), knitr, openxlsx (>= 4.0.0), rmarkdown, rstudioapi (>= 0.1), testthat (>= 3.0.0)
Imports: dplyr (>= 1.0.3), stringr (>= 1.4.0), crayon (>= 1.3.0), forcats (>= 0.5.0), magrittr (>= 1.5.0), purrr (>= 0.3.0), rlang (>= 0.4.0), tibble (>= 3.1.0), tidyr (>= 1.1.0), vctrs (>= 0.3.0), cli (>= 2.0.0), tidyselect (>= 1.0.0), stringi (>= 1.4.6), pillar (>= 1.6.0), stats (>= 4.0.0), kableExtra (>= 1.3.0), DescTools (>= 0.99.0), data.table
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-01-21 20:59:36 UTC; Brice
Author: Brice Nocenti [aut, cre]
Maintainer: Brice Nocenti <brice.nocenti@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-22 18:00:03 UTC

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Package seeker updated to version 1.1.5 with previous version 1.1.4 dated 2023-12-04

Title: Simplified Fetching and Processing of Microarray and RNA-Seq Data
Description: Wrapper around various existing tools and command-line interfaces, providing a standard interface, simple parallelization, and detailed logging. For microarray data, maps probe sets to standard gene IDs, building on 'GEOquery' Davis and Meltzer (2007) <doi:10.1093/bioinformatics/btm254>, 'ArrayExpress' Kauffmann et al. (2009) <doi:10.1093/bioinformatics/btp354>, Robust multi-array average 'RMA' Irizarry et al. (2003) <doi:10.1093/biostatistics/4.2.249>, and 'BrainArray' Dai et al. (2005) <doi:10.1093/nar/gni179>. For RNA-seq data, fetches metadata and raw reads from National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA), performs standard adapter and quality trimming using 'TrimGalore' Krueger <https://github.com/FelixKrueger/TrimGalore>, performs quality control checks using 'FastQC' Andrews <https://github.com/s-andrews/FastQC>, quantifies transcript abundances using 'salmon' Patro et al. (2017) <doi:10.1038/nmeth.4197& [...truncated...]
Author: Jake Hughey [aut, cre], Josh Schoenbachler [aut]
Maintainer: Jake Hughey <jakejhughey@gmail.com>

Diff between seeker versions 1.1.4 dated 2023-12-04 and 1.1.5 dated 2024-01-22

 DESCRIPTION                   |    6 +++---
 MD5                           |   10 +++++-----
 inst/doc/introduction.html    |    4 ++--
 inst/doc/reproducibility.html |    4 ++--
 inst/extdata/platform_cdf.csv |    1 +
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 6 files changed, 14 insertions(+), 13 deletions(-)

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New package retel with initial version 0.1.0
Package: retel
Title: Regularized Exponentially Tilted Empirical Likelihood
Version: 0.1.0
Description: Implements the regularized exponentially tilted empirical likelihood method. Details of the methods are given in Kim, MacEachern, and Peruggia (2023) <doi:10.48550/arXiv.2312.17015>. This work was supported by the U.S. National Science Foundation under Grants No. SES-1921523 and DMS-2015552.
License: GPL (>= 3)
URL: https://github.com/markean/retel
BugReports: https://github.com/markean/retel/issues
Depends: R (>= 4.1.0)
Suggests: melt, spelling
Encoding: UTF-8
Language: en-US
LazyData: true
Imports: checkmate, Matrix, matrixcalc, nloptr
NeedsCompilation: no
Packaged: 2024-01-22 01:35:21 UTC; markean
Author: Eunseop Kim [aut, cph, cre], Steven MacEachern [ctb, ths], Mario Peruggia [ctb, ths]
Maintainer: Eunseop Kim <markean@pm.me>
Repository: CRAN
Date/Publication: 2024-01-22 18:20:06 UTC

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New package gbm3 with initial version 3.0
Package: gbm3
Version: 3.0
Date: 2024-01-14
Title: Generalized Boosted Regression Models
Depends: R (>= 3.5.0)
Imports: survival, lattice, splines, Rcpp (>= 1.0.0)
Suggests: testthat (>= 3.1.0), knitr, rmarkdown
VignetteBuilder: knitr
Description: Extensions to Freund and Schapire's AdaBoost algorithm, Y. Freund and R. Schapire (1997) <doi:10.1006/jcss.1997.1504> and Friedman's gradient boosting machine, J.H. Friedman (2001) <doi:10.1214/aos/1013203451>. Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMART).
License: GPL (>= 2)
URL: https://github.com/gbm-developers/gbm3
Encoding: UTF-8
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2024-01-21 16:34:32 UTC; greg_
Author: James Hickey [aut], Paul Metcalfe [aut], Greg Ridgeway [aut, cre], Stefan Schroedl [aut], Harry Southworth [aut], Terry Therneau [aut]
Maintainer: Greg Ridgeway <gridge@upenn.edu>
Repository: CRAN
Date/Publication: 2024-01-22 18:00:08 UTC

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Package aRxiv updated to version 0.8 with previous version 0.6 dated 2021-12-06

Title: Interface to the arXiv API
Description: An interface to the API for 'arXiv', a repository of electronic preprints for computer science, mathematics, physics, quantitative biology, quantitative finance, and statistics.
Author: Karthik Ram [aut] , Karl Broman [aut, cre]
Maintainer: Karl Broman <broman@wisc.edu>

Diff between aRxiv versions 0.6 dated 2021-12-06 and 0.8 dated 2024-01-22

 aRxiv-0.6/aRxiv/NEWS                                  |only
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 19 files changed, 544 insertions(+), 232 deletions(-)

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New package WpProj with initial version 0.2
Package: WpProj
Title: Linear p-Wasserstein Projections
Version: 0.2
Date: 2024-01-15
Description: Performs Wasserstein projections from the predictive distributions of any model into the space of predictive distributions of linear models. We utilize L1 penalties to also reduce the complexity of the model space. This package employs the methods as described in Dunipace, Eric and Lorenzo Trippa (2020) <arXiv:2012.09999>.
License: GPL (== 3.0)
Depends: R (>= 4.0)
Imports: ggplot2, ggsci, ggridges, glmnet, oem, Rcpp, rlang, ROI, ROI.plugin.ecos, ROI.plugin.lpsolve, Matrix, rqPen, quantreg, doParallel, foreach, doRNG, dplyr, stats, magrittr, methods, slam, lifecycle
LinkingTo: BH, Rcpp (>= 1.0.0), RcppEigen (>= 0.3.3.4.0), RcppProgress, RcppCGAL, RSpectra
Suggests: testthat (>= 2.1.0), transport, Rmosek, spelling
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
Packaged: 2024-01-16 06:41:22 UTC; eifer
Author: Eric Dunipace [aut, cre] , Clemens Schmid [ctb] , Espen Bernton [ctb] , Mathieu Gerber [ctb] , Pierre Jacob [ctb] , Bin Dai [ctb] , Jared Huling [ctb] , Yixuan Qiu [ctb] , Dominic Schuhmacher [ctb] , Nicolas Bonneel [ctb]
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>
Repository: CRAN
Date/Publication: 2024-01-22 17:12:47 UTC

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New package survcompare with initial version 0.1.2
Package: survcompare
Title: Compares Cox and Survival Random Forests to Quantify Nonlinearity
Version: 0.1.2
Date: 2024-01-19
Description: Performs repeated nested cross-validation for Cox Proportionate Hazards, Cox Lasso, Survival Random Forest, and their ensemble. Returns internally validated concordance index, time-dependent area under the curve, Brier score, calibration slope, and statistical testing of non-linear ensemble outperforming the baseline Cox model. In this, it helps researchers to quantify the gain of using a more complex survival model, or justify its redundancy. Equally, it shows the performance value of the non-linear and interaction terms, and may highlight the need of further feature transformation. Further details can be found in Shamsutdinova, Stamate, Roberts, & Stahl (2022) "Combining Cox Model and Tree-Based Algorithms to Boost Performance and Preserve Interpretability for Health Outcomes" <doi:10.1007/978-3-031-08337-2_15>, where the method is described as Ensemble 1.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1), survival (>= 3.0)
Imports: stats, timeROC, caret, glmnet, randomForestSRC
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Maintainer: Diana Shamsutdinova <diana.shamsutdinova.github@gmail.com>
NeedsCompilation: no
Packaged: 2024-01-19 19:52:05 UTC; dinab
Author: Diana Shamsutdinova [aut, cre] , Daniel Stahl [aut]
Repository: CRAN
Date/Publication: 2024-01-22 17:20:02 UTC

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New package sectorgap with initial version 0.1.0
Package: sectorgap
Title: Consistent Economic Trend Cycle Decomposition
Version: 0.1.0
Description: Determining potential output and the output gap - two inherently unobservable variables - is a major challenge for macroeconomists. 'sectorgap' features a flexible modeling and estimation framework for a multivariate Bayesian state space model identifying economic output fluctuations consistent with subsectors of the economy. The proposed model is able to capture various correlations between output and a set of aggregate as well as subsector indicators. Estimation of the latent states and parameters is achieved using a simple Gibbs sampling procedure and various plotting options facilitate the assessment of the results. For details on the methodology and an illustrative example, see Streicher (2024) <https://www.research-collection.ethz.ch/handle/20.500.11850/653682>.
License: GPL-3
Encoding: UTF-8
Imports: stats, KFAS, zoo, ggplot2, MCMCpack, dplyr, tidyr, tempdisagg
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-01-21 14:21:36 UTC; Sina
Author: Sina Streicher [aut, cre]
Maintainer: Sina Streicher <streicher.sina@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-22 17:40:02 UTC

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New package ionet with initial version 0.2.2
Package: ionet
Title: Network Analysis for Input-Output Tables
Version: 0.2.2
Maintainer: Shiying Xiao <shiying.xiao@outlook.com>
Description: Network functionalities specialized for data generated from input-output tables.
Depends: R (>= 2.10)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 1.0.8.3)
LinkingTo: Rcpp
URL: https://github.com/Carol-seven/ionet
BugReports: https://github.com/Carol-seven/ionet/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-01-20 08:22:34 UTC; csxiao
Author: Shiying Xiao [aut, cre] , Jun Yan [aut] , Panpan Zhang [aut]
Repository: CRAN
Date/Publication: 2024-01-22 17:30:03 UTC

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New package IALS with initial version 0.1.0
Package: IALS
Title: Iterative Alternating Least Square Algorithm for Large-Dimensional Matrix Factor Model
Version: 0.1.0
Author: Yong He [aut], Ran Zhao [aut, cre], Wen-Xin Zhou [aut]
Maintainer: Ran Zhao <Zhaoran@mail.sdu.edu.cn>
Description: The matrix factor model has drawn growing attention for its advantage in achieving two-directional dimension reduction simultaneously for matrix-structured observations. In contrast to the Principal Component Analysis (PCA)-based methods, we propose a simple Iterative Alternating Least Squares (IALS) algorithm for matrix factor models, see the details in He et al. (2023) <arXiv:2301.00360>.
License: GPL-2 | GPL-3
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: RSpectra, pracma, HDMFA
NeedsCompilation: no
Packaged: 2024-01-20 06:57:51 UTC; 赵冉
Repository: CRAN
Date/Publication: 2024-01-22 17:32:55 UTC

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Package FIESTA updated to version 3.6.1 with previous version 3.6.0 dated 2023-11-21

Title: Forest Inventory Estimation and Analysis
Description: A research estimation tool for analysts that work with sample-based inventory data from the U.S. Department of Agriculture, Forest Service, Forest Inventory and Analysis (FIA) Program.
Author: Tracey Frescino [aut], Gretchen Moisen [aut], Paul Patterson [aut], Chris Toney [aut], Grayson White [aut, cre] , Joshua Yamamoto [aut]
Maintainer: Grayson White <graysonwhite13@gmail.com>

Diff between FIESTA versions 3.6.0 dated 2023-11-21 and 3.6.1 dated 2024-01-22

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Package ctsfeatures updated to version 1.2.0 with previous version 1.1.0 dated 2023-10-24

Title: Analyzing Categorical Time Series
Description: An implementation of several functions for feature extraction in categorical time series datasets. Specifically, some features related to marginal distributions and serial dependence patterns can be computed. These features can be used to feed clustering and classification algorithms for categorical time series, among others. The package also includes some interesting datasets containing biological sequences. Practitioners from a broad variety of fields could benefit from the general framework provided by 'ctsfeatures'.
Author: Angel Lopez-Oriona [aut, cre], Jose A. Vilar [aut]
Maintainer: Angel Lopez-Oriona <oriona38@hotmail.com>

Diff between ctsfeatures versions 1.1.0 dated 2023-10-24 and 1.2.0 dated 2024-01-22

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New package ConconiAnaerobicThresholdTest with initial version 1.0.0
Package: ConconiAnaerobicThresholdTest
Title: Conconi Estimate of Anaerobic Threshold from a TCX File
Version: 1.0.0
Maintainer: Levi Waldron <lwaldron.research@gmail.com>
Description: Analyzes data from a Conconi et al. (1996) <doi:10.1055/s-2007-972887> treadmill fitness test where speed is augmented by a constant amount every set number of seconds to estimate the anaerobic (lactate) threshold speed and heart rate. It reads a TCX file, allows optional removal observations from before and after the actual test, fits a change-point linear model where the change-point is the estimate of the lactate threshold, and plots the data points and fit model. Details of administering the fitness test are provided in the package vignette. Functions work by default for Garmin Connect TCX exports but may require additional data preparation for heart rate, time, and speed data from other sources.
License: GPL (>= 3)
Depends: dplyr, ggplot2
Imports: trackeR, SiZer, methods
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/waldronlab/ConconiAnaerobicThresholdTest
NeedsCompilation: no
Packaged: 2024-01-19 20:25:32 UTC; Levi
Author: Levi Waldron [aut, cre]
Repository: CRAN
Date/Publication: 2024-01-22 17:22:49 UTC

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New package arcpy with initial version 0.4-0
Package: arcpy
Title: Interface to 'ArcGIS' 'Python' Modules
Version: 0.4-0
Description: An interface to the 'ArcGIS' 'arcpy' and 'arcgis' 'python' API <https://pro.arcgis.com/en/pro-app/latest/arcpy/get-started/arcgis-api-for-python.htm>. Provides various tools for installing and configuring a 'Conda' environment for accessing 'ArcGIS' geoprocessing functions. Helper functions for manipulating and converting 'ArcGIS' objects from R are also provided.
URL: https://github.com/mkoohafkan/arcpy, https://hydroecology.net/arcpy/
BugReports: https://github.com/mkoohafkan/arcpy/issues
SystemRequirements: Conda (>= 4.6), ArcGIS Pro (>= 3.0)
Depends: R (>= 4.2)
Imports: stats, reticulate (>= 1.31)
Suggests: tibble (>= 3.0), knitr (>= 1.21), rmarkdown (>= 1.11), testthat (>= 2.1.0), rstudioapi (>= 0.7), sf, terra
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-01-20 04:09:45 UTC; michael
Author: Michael Koohafkan [aut, cre]
Maintainer: Michael Koohafkan <michael.koohafkan@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-22 17:32:51 UTC

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Package geoknife (with last version 1.6.11) was removed from CRAN

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

2023-07-06 1.6.11
2022-12-15 1.6.10
2022-11-08 1.6.9
2022-09-21 1.6.8
2022-07-20 1.6.7
2021-12-10 1.6.6
2021-04-27 1.6.5
2020-06-02 1.6.4
2019-01-30 1.6.3
2018-08-22 1.6.1
2017-06-06 1.5.5
2017-03-14 1.5.4
2016-12-27 1.5.2
2016-12-19 1.5.1
2016-10-27 1.4.0
2016-04-06 1.3.0
2016-02-18 1.2.1
2016-02-11 1.2.0
2016-01-20 1.1.3
2015-10-04 1.0.0

Permanent link
Package SimRVPedigree (with last version 0.4.4) was removed from CRAN

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

2020-02-09 0.4.4
2018-10-01 0.3.0
2018-08-17 0.2.0
2017-12-21 0.1.0

Permanent link
Package SitesInterest (with last version 1.0) was removed from CRAN

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

2018-10-16 1.0

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Package mixl (with last version 1.3.3) was removed from CRAN

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

2021-12-08 1.3.3
2021-09-20 1.3.2

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Package learNN (with last version 0.2.0) was removed from CRAN

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

2015-09-29 0.2.0
2015-09-08 0.1.0

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Package packagetrackr (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:

2015-09-22 0.1.1

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Package rootWishart (with last version 0.4.1) was removed from CRAN

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

2018-03-17 0.4.1
2017-04-30 0.4.0
2016-07-13 0.3.0

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Package OpVaR (with last version 1.2) was removed from CRAN

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

2021-09-08 1.2
2020-07-02 1.1.1

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Package LinearDetect (with last version 0.1.5) was removed from CRAN

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

2021-03-21 0.1.5
2021-03-18 0.1.4

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Package BartMixVs (with last version 1.0.0) was removed from CRAN

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

2022-05-05 1.0.0

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Package ptf (with last version 0.0.1) was removed from CRAN

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

2021-06-15 0.0.1

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Package sc2sc updated to version 0.0.1-9 with previous version 0.0.1-7 dated 2023-03-21

Title: Spatial Transfer of Statistics among Spanish Census Sections
Description: Transfers/imputes statistics among Spanish spatial polygons (census sections or postal code areas) from different moments in time (2001-202)3 without need of spatial files, just linking statistics to the ID codes of the spatial units. The data available in the census sections of a partition/division (cartography) into force in a moment of time is transferred to the census sections of another partition/division employing the geometric approach (also known as areal weighting or polygon overlay). References: Goerlich (2022) <doi:10.12842/WPIVIE_0322>. Pavía and Cantarino (2017a, b) <doi:10.1111/gean.12112>, <doi:10.1016/j.apgeog.2017.06.021>. Acknowledgements: The authors wish to thank Consellería de Educación, Universidades y Empleo, Generalitat Valenciana (grant AICO/2021/257) and Ministerio de Economía e Innovación (grant PID2021-128228NB-I00) for supporting this research.
Author: Virgilio Perez [aut] , Jose M. Pavia [aut, cre]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>

Diff between sc2sc versions 0.0.1-7 dated 2023-03-21 and 0.0.1-9 dated 2024-01-22

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New package povmap with initial version 1.0.1
Package: povmap
Title: Extension to the 'emdi' Package
Version: 1.0.1
Date: 2024-01-18
Description: The R package 'povmap' supports small area estimation of means and poverty headcount rates. It adds several new features to the 'emdi' package (see "The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators" by Kreutzmann et al. (2019) <doi:10.18637/jss.v091.i07>). These include new options for incorporating survey weights, ex-post benchmarking of estimates, two additional transformations, several new convenient functions to assist with reporting results, and a wrapper function to facilitate access from 'Stata'.
Depends: R (>= 4.2.0)
License: GPL-2
URL: https://github.com/SSA-Statistical-Team-Projects/povmap
LazyData: true
Encoding: UTF-8
Copyright: inst/COPYRIGHTS
Imports: nlme, moments, ggplot2, MuMIn, gridExtra, openxlsx, reshape2, stats, stringr, parallelMap, HLMdiag, parallel, boot, MASS, readODS, formula.tools, saeRobust, spdep, bestNormalize, survey, sf
Suggests: testthat, R.rsp, simFrame, laeken, graphics
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2024-01-20 01:11:32 UTC; ifean
Author: Ifeanyi Edochie [aut, cre], David Newhouse [aut], Nora Wuerz [aut], Timo Schmid [aut]
Maintainer: Ifeanyi Edochie <iedochie@worldbank.org>
Repository: CRAN
Date/Publication: 2024-01-22 16:20:05 UTC

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Package x13binary updated to version 1.1.60 with previous version 1.1.57-4 dated 2023-09-07

Title: Provide the 'x13ashtml' Seasonal Adjustment Binary
Description: The US Census Bureau provides a seasonal adjustment program now called 'X-13ARIMA-SEATS' building on both earlier programs called X-11 and X-12 as well as the SEATS program by the Bank of Spain. The US Census Bureau offers both source and binary versions -- which this package integrates for use by other R packages.
Author: Dirk Eddelbuettel [aut, cre] , Christoph Sax [aut] , Kirill Mueller [ctb] , Jeroen Ooms [ctb] , Michael Antonov [ctb]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between x13binary versions 1.1.57-4 dated 2023-09-07 and 1.1.60 dated 2024-01-22

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Package wrGraph updated to version 1.3.7 with previous version 1.3.6 dated 2023-10-20

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

Diff between wrGraph versions 1.3.6 dated 2023-10-20 and 1.3.7 dated 2024-01-22

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More information about wrGraph at CRAN
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New package treeshap with initial version 0.3.1
Package: treeshap
Title: Compute SHAP Values for Your Tree-Based Models Using the 'TreeSHAP' Algorithm
Version: 0.3.1
Description: An efficient implementation of the 'TreeSHAP' algorithm introduced by Lundberg et al., (2020) <doi:10.1038/s42256-019-0138-9>. It is capable of calculating SHAP (SHapley Additive exPlanations) values for tree-based models in polynomial time. Currently supported models include 'gbm', 'randomForest', 'ranger', 'xgboost', 'lightgbm'.
License: GPL-3
URL: https://modeloriented.github.io/treeshap/, https://github.com/ModelOriented/treeshap
BugReports: https://github.com/ModelOriented/treeshap/issues
Depends: R (>= 2.10)
Imports: data.table, ggplot2, Rcpp
Suggests: gbm, jsonlite, lightgbm, randomForest, ranger, scales, survival, testthat, xgboost
LinkingTo: Rcpp
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2024-01-22 13:05:31 UTC; krzyzinskim
Author: Konrad Komisarczyk [aut], Pawel Kozminski [aut], Szymon Maksymiuk [aut] , Lorenz A. Kapsner [ctb] , Mikolaj Spytek [ctb] , Mateusz Krzyzinski [ctb, cre] , Przemyslaw Biecek [aut, cph]
Maintainer: Mateusz Krzyzinski <krzyzinskimateusz23@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-22 15:20:06 UTC

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Package EGAnet updated to version 2.0.4 with previous version 2.0.3 dated 2023-11-17

Title: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics
Description: Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA estimates the number of dimensions in psychological data using network estimation methods and community detection algorithms. A bootstrap method is provided to assess the stability of dimensions and items. Fit is evaluated using the Entropy Fit family of indices. Unique Variable Analysis evaluates the extent to which items are locally dependent (or redundant). Network loadings provide similar information to factor loadings and can be used to compute network scores. A bootstrap and permutation approach are available to assess configural and metric invariance. Hierarchical structures can be detected using Hierarchical EGA. Time series and intensive longitudinal data can be analyzed using Dynamic EGA, supporting individual, group, and population level assessments.
Author: Hudson Golino [aut, cre] , Alexander Christensen [aut] , Robert Moulder [ctb] , Luis E. Garrido [ctb] , Laura Jamison [ctb] , Dingjing Shi [ctb]
Maintainer: Hudson Golino <hfg9s@virginia.edu>

Diff between EGAnet versions 2.0.3 dated 2023-11-17 and 2.0.4 dated 2024-01-22

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More information about EGAnet at CRAN
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Package Andromeda updated to version 0.6.5 with previous version 0.6.4 dated 2023-11-24

Title: Asynchronous Disk-Based Representation of Massive Data
Description: Storing very large data objects on a local drive, while still making it possible to manipulate the data in an efficient manner.
Author: Adam Black [aut], Egill Fridgeirsson [aut], Martijn Schuemie [aut, cre], Marc A. Suchard [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between Andromeda versions 0.6.4 dated 2023-11-24 and 0.6.5 dated 2024-01-22

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More information about Andromeda at CRAN
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Package spatialwidget updated to version 0.2.5 with previous version 0.2.3 dated 2020-08-31

Title: Formats Spatial Data for Use in Htmlwidgets
Description: Many packages use 'htmlwidgets' <https://CRAN.R-project.org/package=htmlwidgets> for interactive plotting of spatial data. This package provides functions for converting R objects, such as simple features, into structures suitable for use in 'htmlwidgets' mapping libraries.
Author: David Cooley [aut, cre]
Maintainer: David Cooley <dcooley@symbolix.com.au>

Diff between spatialwidget versions 0.2.3 dated 2020-08-31 and 0.2.5 dated 2024-01-22

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 spatialwidget-0.2.5/spatialwidget/R/RcppExports.R                                                    |   12 
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 spatialwidget-0.2.5/spatialwidget/src/Makevars                                                       |    2 
 spatialwidget-0.2.5/spatialwidget/src/Makevars.win                                                   |    2 
 spatialwidget-0.2.5/spatialwidget/src/RcppExports.cpp                                                |   37 
 spatialwidget-0.2.5/spatialwidget/src/colour.cpp                                                     |   26 
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Package mlr3spatiotempcv updated to version 2.3.0 with previous version 2.2.0 dated 2023-10-24

Title: Spatiotemporal Resampling Methods for 'mlr3'
Description: Extends the mlr3 ML framework with spatio-temporal resampling methods to account for the presence of spatiotemporal autocorrelation (STAC) in predictor variables. STAC may cause highly biased performance estimates in cross-validation if ignored.
Author: Patrick Schratz [aut, cre] , Marc Becker [aut] , Jannes Muenchow [ctb] , Michel Lang [ctb]
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>

Diff between mlr3spatiotempcv versions 2.2.0 dated 2023-10-24 and 2.3.0 dated 2024-01-22

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Package lares updated to version 5.2.5 with previous version 5.2.4 dated 2023-12-07

Title: Analytics & Machine Learning Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or extensive R programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

Diff between lares versions 5.2.4 dated 2023-12-07 and 5.2.5 dated 2024-01-22

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Package gmvarkit updated to version 2.1.1 with previous version 2.1.0 dated 2023-11-14

Title: Estimate Gaussian and Student's t Mixture Vector Autoregressive Models
Description: Unconstrained and constrained maximum likelihood estimation of structural and reduced form Gaussian mixture vector autoregressive, Student's t mixture vector autoregressive, and Gaussian and Student's t mixture vector autoregressive models, quantile residual tests, graphical diagnostics, simulations, forecasting, and estimation of generalized impulse response function and generalized forecast error variance decomposition. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2016) <doi:10.1016/j.jeconom.2016.02.012>, Savi Virolainen (2022) <arXiv:2007.04713>, Savi Virolainen (2022) <arXiv:2109.13648>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

Diff between gmvarkit versions 2.1.0 dated 2023-11-14 and 2.1.1 dated 2024-01-22

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Package GenSA updated to version 1.1.14 with previous version 1.1.12 dated 2023-12-12

Title: R Functions for Generalized Simulated Annealing
Description: Performs search for global minimum of a very complex non-linear objective function with a very large number of optima.
Author: Sylvain Gubian, Yang Xiang, Brian Suomela, Julia Hoeng, PMP SA.
Maintainer: Sylvain Gubian <DL.RSupport@pmi.com>

Diff between GenSA versions 1.1.12 dated 2023-12-12 and 1.1.14 dated 2024-01-22

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Package gcxgclab updated to version 1.0.1 with previous version 1.0.0 dated 2024-01-17

Title: GCxGC Preprocessing and Analysis
Description: Provides complete detailed preprocessing of two-dimensional gas chromatogram (GCxGC) samples. Baseline correction, smoothing, peak detection, and peak alignment. Also provided are some analysis functions, such as finding extracted ion chromatograms, finding mass spectral data, targeted analysis, and nontargeted analysis with either the 'National Institute of Standards and Technology Mass Spectral Library' or with the mass data. There are also several visualization methods provided for each step of the preprocessing and analysis.
Author: Stephanie Gamble [aut, cre] , Mannion Joseph [ctb], Granger Caroline [ctb], Battelle Savannah River Alliance [cph], NNSA, US DOE [fnd]
Maintainer: Stephanie Gamble <stephanie.gamble@srnl.doe.gov>

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Package yyjsonr updated to version 0.1.18 with previous version 0.1.16 dated 2024-01-17

Title: Fast JSON Parser and Generator
Description: A fast JSON parser, generator and validator which converts JSON data to/from R objects. The standard R data types are supported (e.g. logical, numeric, integer) with configurable handling of NULL and NA values. Data frames, atomic vectors and lists are all supported as data containers translated to/from JSON. This implementation is a wrapper around the 'yyjson' 'C' library which is available from <https://github.com/ibireme/yyjson>.
Author: Mike Cheng [aut, cre, cph], Yao Yuan [cph]
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>

Diff between yyjsonr versions 0.1.16 dated 2024-01-17 and 0.1.18 dated 2024-01-22

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Package lessSEM updated to version 1.5.5 with previous version 1.5.4 dated 2024-01-09

Title: Non-Smooth Regularization for Structural Equation Models
Description: Provides regularized structural equation modeling (regularized SEM) with non-smooth penalty functions (e.g., lasso) building on 'lavaan'. The package is heavily inspired by the ['regsem'](<https://github.com/Rjacobucci/regsem>) and ['lslx'](<https://github.com/psyphh/lslx>) packages.
Author: Jannik H. Orzek [aut, cre, cph]
Maintainer: Jannik H. Orzek <jannik.orzek@mailbox.org>

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New package aorsf with initial version 0.1.3
Package: aorsf
Title: Accelerated Oblique Random Forests
Version: 0.1.3
Description: Fit, interpret, and compute predictions with oblique random forests. Includes support for partial dependence, variable importance, passing customized functions for variable importance and identification of linear combinations of features. Methods for the oblique random survival forest are described in Jaeger et al., (2023) <DOI:10.1080/10618600.2023.2231048>.
License: MIT + file LICENSE
URL: https://github.com/ropensci/aorsf, https://docs.ropensci.org/aorsf/
BugReports: https://github.com/ropensci/aorsf/issues/
Depends: R (>= 3.6)
Imports: collapse, data.table, lifecycle, R6, Rcpp, utils
Suggests: covr, ggplot2, glmnet, knitr, rmarkdown, survival, SurvMetrics, testthat (>= 3.0.0), tibble, units
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2024-01-19 22:06:19 UTC; bjaeger
Author: Byron Jaeger [aut, cre] , Nicholas Pajewski [ctb], Sawyer Welden [ctb], Christopher Jackson [rev], Marvin Wright [rev], Lukas Burk [rev]
Maintainer: Byron Jaeger <bjaeger@wakehealth.edu>
Repository: CRAN
Date/Publication: 2024-01-22 13:22:56 UTC

More information about aorsf at CRAN
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Package XML updated to version 3.99-0.16.1 with previous version 3.99-0.16 dated 2023-11-29

Title: Tools for Parsing and Generating XML Within R and S-Plus
Description: Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
Author: CRAN Team [ctb, cre] , Duncan Temple Lang [aut] , Tomas Kalibera [ctb]
Maintainer: CRAN Team <CRAN@r-project.org>

Diff between XML versions 3.99-0.16 dated 2023-11-29 and 3.99-0.16.1 dated 2024-01-22

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Package treePlotArea updated to version 1.5.0 with previous version 1.4.1 dated 2023-06-13

Title: Correction Factors for Tree Plot Areas Intersected by Stand Boundaries
Description: The German national forest inventory uses angle count sampling, a sampling method first published as `Bitterlich, W.: Die Winkelzählmessung. Allgemeine Forst- und Holzwirtschaftliche Zeitung, 58. Jahrg., Folge 11/12 vom Juni 1947` and extended by Grosenbaugh (<https://academic.oup.com/jof/article-abstract/50/1/32/4684174>) as probability proportional to size sampling. When plots are located near stand boundaries, their sizes and hence their probabilities need to be corrected.
Author: Andreas Dominik Cullmann [aut, cre], Bernhard Boesch [ctb], Christoph Fischer [ctb], Gerald Kaendler [ctb]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

Diff between treePlotArea versions 1.4.1 dated 2023-06-13 and 1.5.0 dated 2024-01-22

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Package microeco updated to version 1.4.0 with previous version 1.3.0 dated 2023-12-11

Title: Microbial Community Ecology Data Analysis
Description: A series of statistical and plotting approaches in microbial community ecology based on the R6 class. The classes are designed for data preprocessing, taxa abundance plotting, alpha diversity analysis, beta diversity analysis, differential abundance test, null model analysis, network analysis, machine learning, environmental data analysis and functional analysis.
Author: Chi Liu [aut, cre], Felipe R. P. Mansoldo [ctb], Umer Zeeshan Ijaz [ctb], Chenhao Li [ctb], Yang Cao [ctb], Minjie Yao [ctb], Xiangzhen Li [ctb]
Maintainer: Chi Liu <liuchi0426@126.com>

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Package gghdx updated to version 0.1.2 with previous version 0.1.1 dated 2023-08-18

Title: HDX Theme, Scales, and Other Conveniences for 'ggplot2'
Description: A Humanitarian Data Exchange (HDX) theme, color palettes, and scales for 'ggplot2' to allow users to easily follow the HDX visual design guide, including convenience functions for for loading and using the Source Sans 3 font.
Author: Seth Caldwell [aut, cre, cph]
Maintainer: Seth Caldwell <caldwellst@gmail.com>

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Package ceramic updated to version 0.9.0 with previous version 0.8.0 dated 2023-04-21

Title: Download Online Imagery Tiles
Description: Download imagery tiles to a standard cache and load the data into raster objects. Facilities for 'AWS' terrain <https://registry.opendata.aws/terrain-tiles/> terrain and 'Mapbox' <https://www.mapbox.com/> servers are provided.
Author: Michael Sumner [aut, cre] , Miles McBain [ctb] , Ben Raymond [ctb]
Maintainer: Michael Sumner <mdsumner@gmail.com>

Diff between ceramic versions 0.8.0 dated 2023-04-21 and 0.9.0 dated 2024-01-22

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Package tinyarray updated to version 2.3.2 with previous version 2.3.1 dated 2023-08-18

Title: Expression Data Analysis and Visualization
Description: Gene Expression Omnibus(GEO) and The Cancer Genome Atlas(TCGA) are common bioinformatics public databases. We integrate the regular analysis and charts for expression data, to analyze and display the data concisely and intuitively.
Author: Xiaojie Sun [aut, cre]
Maintainer: Xiaojie Sun <18763899370@163.com>

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Package JointFPM updated to version 1.2.0 with previous version 1.1.0 dated 2023-11-27

Title: A Parametric Model for Estimating the Mean Number of Events
Description: Implementation of a parametric joint model for modelling recurrent and competing event processes using generalised survival models. The joint model can subsequently be used to predict the mean number of events in the presence of competing risks at different time points. Comparisons of the mean number of event functions, e.g. the differences in mean number of events between two exposure groups, are also available.
Author: Joshua P. Entrop [aut, cre, cph] , Alessandro Gasparini [ctb], Mark Clements [ctb]
Maintainer: Joshua P. Entrop <joshuaentrop@posteo.de>

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Package checkhelper updated to version 0.1.1 with previous version 0.1.0 dated 2023-06-21

Title: Deal with Check Outputs
Description: Deal with packages 'check' outputs and reduce the risk of rejection by 'CRAN' by following policies.
Author: Sebastien Rochette [aut, cre] , Vincent Guyader [aut] , Arthur Breant [aut] , Murielle Delmotte [aut] , ThinkR [cph]
Maintainer: Sebastien Rochette <sebastien@thinkr.fr>

Diff between checkhelper versions 0.1.0 dated 2023-06-21 and 0.1.1 dated 2024-01-22

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Package attachment updated to version 0.4.1 with previous version 0.4.0 dated 2023-05-31

Title: Deal with Dependencies
Description: Manage dependencies during package development. This can retrieve all dependencies that are used in ".R" files in the "R/" directory, in ".Rmd" files in "vignettes/" directory and in 'roxygen2' documentation of functions. There is a function to update the "DESCRIPTION" file of your package with 'CRAN' packages or any other remote package. All functions to retrieve dependencies of ".R" scripts and ".Rmd" or ".qmd" files can be used independently of a package development.
Author: Sebastien Rochette [cre, aut] , Vincent Guyader [aut] , Murielle Delmotte [aut] , Swann Floc'hlay [aut] , ThinkR [cph, fnd]
Maintainer: Sebastien Rochette <sebastien@thinkr.fr>

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Package shinyTempSignal updated to version 0.0.6 with previous version 0.0.5 dated 2023-12-12

Title: Explore Temporal and Other Phylogenetic Signals
Description: Sequences sampled at different time points can be used to infer molecular phylogenies on natural time scales, but if the sequences records inaccurate sampling times, that are not the actual sampling times, then it will affect the molecular phylogenetic analysis. This shiny application helps exploring temporal characteristics of the evolutionary trees through linear regression analysis and with the ability to identify and remove incorrect labels. The method was extended to support exploring other phylogenetic signals under strict and relaxed models.
Author: Guangchuang Yu [aut, cre, cph] , Xiao Luo [ctb], Li Zhan [ctb], Xuanan Zhu [ctb], Jianfeng Lin [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between shinyTempSignal versions 0.0.5 dated 2023-12-12 and 0.0.6 dated 2024-01-22

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