Fri, 12 Jan 2024

Package DRviaSPCN updated to version 0.1.4 with previous version 0.1.3 dated 2023-09-25

Title: Drug Repurposing in Cancer via a Subpathway Crosstalk Network
Description: A systematic biology tool was developed to repurpose drugs via a subpathway crosstalk network. The operation modes include 1) calculating centrality scores of SPs in the context of gene expression data to reflect the influence of SP crosstalk, 2) evaluating drug-disease reverse association based on disease- and drug-induced SPs weighted by the SP crosstalk, 3) identifying cancer candidate drugs through perturbation analysis. There are also several functions used to visualize the results.
Author: Junwei Han [aut, cre, cph], Jiashuo Wu [aut]
Maintainer: Junwei Han <hanjunwei1981@163.com>

Diff between DRviaSPCN versions 0.1.3 dated 2023-09-25 and 0.1.4 dated 2024-01-12

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Package SCDB updated to version 0.3 with previous version 0.2.1 dated 2023-11-30

Title: Easily Access and Maintain Time-Based Versioned Data (Slowly-Changing-Dimension)
Description: A collection of functions that enable easy access and updating of a database of data over time. More specifically, the package facilitates type-2 history for data-warehouses and provides a number of Quality of life improvements for working on SQL databases with R. For reference see Ralph Kimball and Margy Ross (2013, ISBN 9781118530801).
Author: Rasmus Skytte Randloev [aut, cre] , Marcus Munch Gruenewald [aut] , Statens Serum Institut [cph, fnd]
Maintainer: Rasmus Skytte Randloev <rske@ssi.dk>

Diff between SCDB versions 0.2.1 dated 2023-11-30 and 0.3 dated 2024-01-12

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Package regmedint updated to version 1.0.1 with previous version 1.0.0 dated 2022-04-06

Title: Regression-Based Causal Mediation Analysis with Interaction and Effect Modification Terms
Description: This is an extension of the regression-based causal mediation analysis first proposed by Valeri and VanderWeele (2013) <doi:10.1037/a0031034> and Valeri and VanderWeele (2015) <doi:10.1097/EDE.0000000000000253>). It supports including effect measure modification by covariates(treatment-covariate and mediator-covariate product terms in mediator and outcome regression models) as proposed by Li et al (2023) <doi:10.1097/EDE.0000000000001643>. It also accommodates the original 'SAS' macro and 'PROC CAUSALMED' procedure in 'SAS' when there is no effect measure modification. Linear and logistic models are supported for the mediator model. Linear, logistic, loglinear, Poisson, negative binomial, Cox, and accelerated failure time (exponential and Weibull) models are supported for the outcome model.
Author: Kazuki Yoshida [ctb, aut] , Yi Li [cre, aut] , Maya Mathur [ctb]
Maintainer: Yi Li <yi.li10@mail.mcgill.ca>

Diff between regmedint versions 1.0.0 dated 2022-04-06 and 1.0.1 dated 2024-01-12

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 NEWS.md                                                                                  |    8 
 build/vignette.rds                                                                       |binary
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 inst/doc/vig_01_introduction.html                                                        |  260 -
 inst/doc/vig_02_formulas.R                                                               |    2 
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 inst/doc/vig_03_bootstrap.R                                                              |    2 
 inst/doc/vig_03_bootstrap.html                                                           |  390 +-
 inst/doc/vig_04_mi.R                                                                     |    2 
 inst/doc/vig_04_mi.html                                                                  |  419 +-
 inst/doc/vig_05_emm.R                                                                    |    2 
 inst/doc/vig_05_emm.html                                                                 |  368 +-
 inst/doc/vig_06_delta_boot.R                                                             |   30 
 inst/doc/vig_06_delta_boot.html                                                          | 1626 ++--------
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More information about regmedint at CRAN
Permanent link

Package misty updated to version 0.6.0 with previous version 0.5.4 dated 2023-11-14

Title: Miscellaneous Functions 'T. Yanagida'
Description: Miscellaneous functions for (1) data management (e.g., grand-mean and group-mean centering, coding variables and reverse coding items, scale and cluster scores, reading and writing Excel and SPSS files), (2) descriptive statistics (e.g., frequency table, cross tabulation, effect size measures), (3) missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), (4) multilevel data (e.g., multilevel descriptive statistics, within-group and between-group correlation matrix, multilevel confirmatory factor analysis, level-specific fit indices, cross-level measurement equivalence evaluation, multilevel composite reliability, and multilevel R-squared measures), (5) item analysis (e.g., confirmatory factor analysis, coefficient alpha and omega, between-group and longitudinal measurement equivalence evaluation), and (6) statistical analysis (e.g., confidence intervals, collinearity and residual [...truncated...]
Author: Takuya Yanagida [aut, cre]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>

Diff between misty versions 0.5.4 dated 2023-11-14 and 0.6.0 dated 2024-01-12

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Package walkboutr updated to version 0.5.0 with previous version 0.4.0 dated 2023-10-13

Title: Generate Walk Bouts from GPS and Accelerometry Data
Description: Process GPS and accelerometry data to generate walk bouts. A walk bout is a period of activity with accelerometer movement matching the patterns of walking with corresponding GPS measurements that confirm travel. The inputs of the 'walkboutr' package are individual-level accelerometry and GPS data. The outputs of the model are walk bouts with corresponding times, duration, and summary statistics on the sample population, which collapse all personally identifying information. These bouts can be used to measure walking both as an outcome of a change to the built environment or as a predictor of health outcomes such as a cardioprotective behavior. Kang B, Moudon AV, Hurvitz PM, Saelens BE (2017) <doi:10.1016/j.trd.2017.09.026>.
Author: Lauren Blair Wilner [aut, cre, cph] , Stephen J Mooney [aut]
Maintainer: Lauren Blair Wilner <wilnerl@uw.edu>

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Package pysparklyr updated to version 0.1.3 with previous version 0.1.2 dated 2023-12-05

Title: Provides a 'PySpark' Back-End for the 'sparklyr' Package
Description: It enables 'sparklyr' to integrate with 'Spark Connect', and 'Databricks Connect' by providing a wrapper over the 'PySpark' 'python' library.
Author: Edgar Ruiz [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Edgar Ruiz <edgar@posit.co>

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Package fastcluster updated to version 1.2.6 with previous version 1.2.2 dated 2021-05-24

Title: Fast Hierarchical Clustering Routines for R and 'Python'
Description: This is a two-in-one package which provides interfaces to both R and 'Python'. It implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed as drop-in replacement for existing routines: linkage() in the 'SciPy' package 'scipy.cluster.hierarchy', hclust() in R's 'stats' package, and the 'flashClust' package. It provides the same functionality with the benefit of a much faster implementation. Moreover, there are memory-saving routines for clustering of vector data, which go beyond what the existing packages provide. For information on how to install the 'Python' files, see the file INSTALL in the source distribution. Based on the present package, Christoph Dalitz also wrote a pure 'C++' interface to 'fastcluster': <https://lionel.kr.hs-niederrhein.de/~dalitz/data/hclust/>.
Author: Daniel Muellner [aut, cph, cre], Google Inc. [cph]
Maintainer: Daniel Muellner <daniel@danifold.net>

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Package Bernadette updated to version 1.1.5 with previous version 1.1.4 dated 2023-06-06

Title: Bayesian Inference and Model Selection for Stochastic Epidemics
Description: Bayesian analysis for stochastic extensions of non-linear dynamic systems using advanced computational algorithms. Described in Bouranis, L., Demiris, N., Kalogeropoulos, K., and Ntzoufras, I. (2022) <arXiv:2211.15229>.
Author: Lampros Bouranis [aut, cre, cph] , European Union [fnd]
Maintainer: Lampros Bouranis <bernadette.aueb@gmail.com>

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Package fflr updated to version 2.2.1 with previous version 2.2.0 dated 2023-09-14

Title: Retrieve ESPN Fantasy Football Data
Description: Format the raw data from the ESPN fantasy football API <https://fantasy.espn.com/apis/v3/games/ffl/> as data frames. Retrieve data on public leagues, rosters, athletes, and matches.
Author: Kiernan Nicholls [aut, cre, cph]
Maintainer: Kiernan Nicholls <kiernann@protonmail.com>

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Package phenopix (with last version 2.4.3) was removed from CRAN

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2023-08-09 2.4.3
2020-09-03 2.4.2
2020-06-06 2.4.1
2020-01-28 2.4
2017-06-16 2.3.1
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Package pre updated to version 1.0.7 with previous version 1.0.6 dated 2023-02-12

Title: Prediction Rule Ensembles
Description: Derives prediction rule ensembles (PREs). Largely follows the procedure for deriving PREs as described in Friedman & Popescu (2008; <DOI:10.1214/07-AOAS148>), with adjustments and improvements. The main function pre() derives prediction rule ensembles consisting of rules and/or linear terms for continuous, binary, count, multinomial, and multivariate continuous responses. Function gpe() derives generalized prediction ensembles, consisting of rules, hinge and linear functions of the predictor variables.
Author: Marjolein Fokkema [aut, cre], Benjamin Christoffersen [aut]
Maintainer: Marjolein Fokkema <m.fokkema@fsw.leidenuniv.nl>

Diff between pre versions 1.0.6 dated 2023-02-12 and 1.0.7 dated 2024-01-12

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Package NACHO updated to version 2.0.6 with previous version 2.0.5 dated 2023-08-07

Title: NanoString Quality Control Dashboard
Description: NanoString nCounter data are gene expression assays where there is no need for the use of enzymes or amplification protocols and work with fluorescent barcodes (Geiss et al. (2018) <doi:10.1038/nbt1385>). Each barcode is assigned a messenger-RNA/micro-RNA (mRNA/miRNA) which after bonding with its target can be counted. As a result each count of a specific barcode represents the presence of its target mRNA/miRNA. 'NACHO' (NAnoString quality Control dasHbOard) is able to analyse the exported NanoString nCounter data and facilitates the user in performing a quality control. 'NACHO' does this by visualising quality control metrics, expression of control genes, principal components and sample specific size factors in an interactive web application.
Author: Mickael Canouil [aut, cre] , Roderick Slieker [aut] , Gerard Bouland [aut]
Maintainer: Mickael Canouil <pro@mickael.canouil.dev>

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Package usmapdata updated to version 0.2.0 with previous version 0.1.2 dated 2023-12-10

Title: Mapping Data for 'usmap' Package
Description: Provides a container for data used by the 'usmap' package. The data used by 'usmap' has been extracted into this package so that the file size of the 'usmap' package can be reduced greatly. The data in this package will be updated roughly once per year (plus bug fixes) as new shape files are provided by the US Census bureau.
Author: Paolo Di Lorenzo [aut, cre]
Maintainer: Paolo Di Lorenzo <dilorenzo@hey.com>

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Package rerddapXtracto updated to version 1.2.0 with previous version 1.1.7 dated 2023-10-18

Title: Extracts Environmental Data from 'ERDDAP' Web Services
Description: Contains three functions that access environmental data from any 'ERDDAP' data web service. The rxtracto() function extracts data along a trajectory for a given "radius" around the point. The rxtracto_3D() function extracts data in a box. The rxtractogon() function extracts data in a polygon. All of those three function use the 'rerddap' package to extract the data, and should work with any 'ERDDAP' server. There are also two functions, plotBBox() and plotTrack() that use the 'plotdap' package to simplify the creation of maps of the data.
Author: Roy Mendelssohn [aut, cre], Marie Auger-Methe [ctb], Sunny Bak-Hospital [ctb]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package rerddap updated to version 1.1.0 with previous version 1.0.4 dated 2023-08-22

Title: General Purpose Client for 'ERDDAP' Servers
Description: General purpose R client for 'ERDDAP' servers. Includes functions to search for 'datasets', get summary information on 'datasets', and fetch 'datasets', in either 'csv' or 'netCDF' format. 'ERDDAP' information: <https://upwell.pfeg.noaa.gov/erddap/information.html>.
Author: Scott Chamberlain [aut], Ben Tupper [ctb], Salvador Jesus Fernandez Bejarano [ctb], Roy Mendelssohn [cre, ctb]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package HYPEtools updated to version 1.6.1 with previous version 1.6.0 dated 2023-10-18

Title: Tools for Processing and Analyzing Files from the Hydrological Catchment Model HYPE
Description: Work with model files (setup, input, output) from the hydrological catchment model HYPE: Streamlined file import and export, standard evaluation plot routines, diverse post-processing and aggregation routines for hydrological model analysis.
Author: Rene Capell [aut, cre] , Conrad Brendel [aut] , Jafet Andersson [ctb], David Gustafsson [ctb], Jude Musuuza [ctb], Jude Lubega [ctb]
Maintainer: Rene Capell <hypetools.rene@smhi.se>

Diff between HYPEtools versions 1.6.0 dated 2023-10-18 and 1.6.1 dated 2024-01-12

 DESCRIPTION                             |   18 
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 NAMESPACE                               |    9 
 NEWS.md                                 |   20 +
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New package treestats with initial version 1.0.3
Package: treestats
Title: Phylogenetic Tree Statistics
Version: 1.0.3
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>
Description: Collection of phylogenetic tree statistics, collected throughout the literature. All functions have been written to maximize computation speed. The package includes umbrella functions to calculate all statistics, all balance associated statistics, or all branching time related statistics. Furthermore, the 'treestats' package supports summary statistic calculations on Ltables, provides speed-improved coding of branching times, Ltable conversion and includes algorithms to create intermediately balanced trees.
License: GPL-3
Encoding: UTF-8
Depends: Rcpp
LinkingTo: Rcpp, nloptr
Imports: ape, nloptr, RSpectra, Matrix
Suggests: phyloTop, testthat, DDD, geiger, nodeSub, nLTT, castor, adephylo, ggplot2, tibble, picante, treebalance, RPANDA, lintr, rmarkdown, knitr
BugReports: https://github.com/thijsjanzen/treestats/issues
URL: https://github.com/thijsjanzen/treestats
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-01-12 11:20:39 UTC; thijsjanzen
Author: Thijs Janzen [cre, aut]
Repository: CRAN
Date/Publication: 2024-01-12 16:30:02 UTC

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New package matrans with initial version 0.1.0
Package: matrans
Title: Model Averaging-Assisted Optimal Transfer Learning
Version: 0.1.0
Description: Transfer learning, as a prevailing technique in computer sciences, aims to improve the performance of a target model by leveraging auxiliary information from heterogeneous source data. We provide novel tools for multi-source transfer learning under statistical models based on model averaging strategies, including linear regression models, partially linear models. Unlike existing transfer learning approaches, this method integrates the auxiliary information through data-driven weight assignments to avoid negative transfer. This is the first package for transfer learning based on the optimal model averaging frameworks, providing efficient implementations for practitioners in multi-source data modeling. The details are described in Hu and Zhang (2023) <https://jmlr.org/papers/v24/23-0030.html>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: caret, formatR, MASS, quadprog, splines, stats
Suggests: knitr, rmarkdown
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-01-12 10:47:35 UTC; huxiaonan
Author: Xiaonan Hu [aut, cre] , Xinyu Zhang [aut]
Maintainer: Xiaonan Hu <xiaonanhu@cnu.edu.cn>
Repository: CRAN
Date/Publication: 2024-01-12 16:30:06 UTC

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Package ivo.table updated to version 0.3 with previous version 0.2 dated 2023-12-05

Title: Nicely Formatted Contingency Tables and Frequency Tables
Description: Nicely formatted frequency tables and contingency tables (1-way, 2-way, 3-way and 4-way tables), that can easily be exported to HTML or 'Office' documents, including 'Excel'. Designed to work with pipes.
Author: Mans Thulin [aut, cre], Kajsa Grind [aut], Stefan Furne [aut]
Maintainer: Mans Thulin <mans@statistikkonsult.com>

Diff between ivo.table versions 0.2 dated 2023-12-05 and 0.3 dated 2024-01-12

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New package GRCdesigns with initial version 1.0.0
Package: GRCdesigns
Title: Generalized Row-Column Designs
Version: 1.0.0
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>
Description: When the number of treatments is large with limited experimental resources then Row-Column(RC) designs with multiple units per cell can be used. These designs are called Generalized Row-Column (GRC) designs and are defined as designs with v treatments in p rows and q columns such that the intersection of each row and column (cell) consists of k experimental units. For example (Bailey & Monod (2001)<doi:10.1111/1467-9469.00235>), to conduct an experiment for comparing 4 treatments using 4 plants with leaves at 2 different heights row-column design with two units per cell can be used. A GRC design is said to be structurally complete if corresponding to the intersection of each row and column, there appears at least two treatments. A GRC design is said to be structurally incomplete if corresponding to the intersection of any row and column, there is at least one cell which does not contain any treatment.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-01-12 11:20:40 UTC; Ashutosh
Author: Anindita Datta [aut, ctb], Seema Jaggi [aut, ctb], Cini Varghese [ctb], Eldho Varghese [ctb], Ashutosh Dalal [cre, ctb], Arpan Bhowmik [ctb]
Repository: CRAN
Date/Publication: 2024-01-12 16:40:05 UTC

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Package gif updated to version 0.1.1 with previous version 0.1.0 dated 2020-06-03

Title: Graphical Independence Filtering
Description: Provides a method of recovering the precision matrix for Gaussian graphical models efficiently. Our approach could be divided into three categories. First of all, we use Hard Graphical Thresholding for best subset selection problem of Gaussian graphical model, and the core concept of this method was proposed by Luo et al. (2014) <arXiv:1407.7819>. Secondly, a closed form solution for graphical lasso under acyclic graph structure is implemented in our package (Fattahi and Sojoudi (2019) <https://jmlr.org/papers/v20/17-501.html>). Furthermore, we implement block coordinate descent algorithm to efficiently solve the covariance selection problem (Dempster (1972) <doi:10.2307/2528966>). Our package is computationally efficient and can solve ultra-high-dimensional problems, e.g. p > 10,000, in a few minutes.
Author: Shiyun Lin [aut, cre], Jin Zhu [aut], Junxian Zhu [aut], Xueqin Wang [aut], SC2S2 [cph]
Maintainer: Shiyun Lin <linshy27@mail2.sysu.edu.cn>

Diff between gif versions 0.1.0 dated 2020-06-03 and 0.1.1 dated 2024-01-12

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Package FNN updated to version 1.1.4 with previous version 1.1.3.2 dated 2023-03-20

Title: Fast Nearest Neighbor Search Algorithms and Applications
Description: Cover-tree and kd-tree fast k-nearest neighbor search algorithms and related applications including KNN classification, regression and information measures are implemented.
Author: Alina Beygelzimer, Sham Kakadet and John Langford , Sunil Arya and David Mount , Shengqiao Li
Maintainer: Shengqiao Li <lishengqiao@yahoo.com>

Diff between FNN versions 1.1.3.2 dated 2023-03-20 and 1.1.4 dated 2024-01-12

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Package beam (with last version 2.0.2) was removed from CRAN

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

2020-05-28 2.0.2
2020-01-28 2.0.1
2020-01-26 2.0.0
2018-05-06 1.0.2
2018-04-18 1.0.1
2018-03-23 1.0

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Package ff updated to version 4.0.12 with previous version 4.0.9 dated 2023-01-25

Title: Memory-Efficient Storage of Large Data on Disk and Fast Access Functions
Description: The ff package provides data structures that are stored on disk but behave (almost) as if they were in RAM by transparently mapping only a section (pagesize) in main memory - the effective virtual memory consumption per ff object. ff supports R's standard atomic data types 'double', 'logical', 'raw' and 'integer' and non-standard atomic types boolean (1 bit), quad (2 bit unsigned), nibble (4 bit unsigned), byte (1 byte signed with NAs), ubyte (1 byte unsigned), short (2 byte signed with NAs), ushort (2 byte unsigned), single (4 byte float with NAs). For example 'quad' allows efficient storage of genomic data as an 'A','T','G','C' factor. The unsigned types support 'circular' arithmetic. There is also support for close-to-atomic types 'factor', 'ordered', 'POSIXct', 'Date' and custom close-to-atomic types. ff not only has native C-support for vectors, matrices and arrays with flexible dimorder (major column-order, major row-order and generalizations for arrays). There is also a ffdf cla [...truncated...]
Author: Daniel Adler [aut], Christian Glaeser [aut], Oleg Nenadic [aut], Jens Oehlschlaegel [aut, cre], Martijn Schuemie [aut], Walter Zucchini [aut]
Maintainer: Jens Oehlschlaegel <Jens.Oehlschlaegel@truecluster.com>

Diff between ff versions 4.0.9 dated 2023-01-25 and 4.0.12 dated 2024-01-12

 DESCRIPTION |    8 ++++----
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Package bayesdfa updated to version 1.3.2 with previous version 1.3.1 dated 2023-10-11

Title: Bayesian Dynamic Factor Analysis (DFA) with 'Stan'
Description: Implements Bayesian dynamic factor analysis with 'Stan'. Dynamic factor analysis is a dimension reduction tool for multivariate time series. 'bayesdfa' extends conventional dynamic factor models in several ways. First, extreme events may be estimated in the latent trend by modeling process error with a student-t distribution. Second, alternative constraints (including proportions are allowed). Third, the estimated dynamic factors can be analyzed with hidden Markov models to evaluate support for latent regimes.
Author: Eric J. Ward [aut, cre], Sean C. Anderson [aut], Luis A. Damiano [aut], Michael J. Malick [aut], Mary E. Hunsicker, [ctb], Mike A. Litzow [ctb], Mark D. Scheuerell [ctb], Elizabeth E. Holmes [ctb], Nick Tolimieri [ctb], Trustees of Columbia Universit [...truncated...]
Maintainer: Eric J. Ward <eric.ward@noaa.gov>

Diff between bayesdfa versions 1.3.1 dated 2023-10-11 and 1.3.2 dated 2024-01-12

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Package GaMaBioMD updated to version 0.2.0 with previous version 0.1.0 dated 2024-01-12

Title: Diversity Analysis for Sequence Data
Description: The full form is Garai and Mantri Biological Material Diversity. It is an R package designed for the calculation of biological diversity using sequence data. It simplifies the process by requiring only sample IDs and accession numbers. Whether you're analyzing genetic or microbial diversity, It provides efficient tools for diversity analysis. Serially one should go for the functions as presented here expand_accession_ranges(), get_sequence_information(), preprocess_for_alignment(), write_fasta(), SampleID_vs_NumSequences(), data_sampling(), alignment_info(), compute_average_similarity_matrix(), generate_heatmaps(), clustering_average_similarity(), clustering_percent_similarity(), bubble_plot_count(), bubble_plot_percentage(), tree_average_similarity(), tree_percent_similarity(). Till date there are total 15 functions. More details can be found in Faith (1992) <doi:10.1016/0006-3207(92)91201-3>.
Author: Sandip Garai [aut, cre], Shrikant Mantri [aut]
Maintainer: Sandip Garai <sandipnicksandy@gmail.com>

Diff between GaMaBioMD versions 0.1.0 dated 2024-01-12 and 0.2.0 dated 2024-01-12

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Package ddalpha updated to version 1.3.15 with previous version 1.3.13 dated 2022-03-23

Title: Depth-Based Classification and Calculation of Data Depth
Description: Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014 <doi:10.1007/s00362-012-0488-4>). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included. (Pokotylo, Mozharovskyi and Dyckerhoff, 2019 <doi:10.18637/jss.v091.i05>).
Author: Oleksii Pokotylo [aut, cre], Pavlo Mozharovskyi [aut], Rainer Dyckerhoff [aut], Stanislav Nagy [aut]
Maintainer: Oleksii Pokotylo <alexey.pokotylo@gmail.com>

Diff between ddalpha versions 1.3.13 dated 2022-03-23 and 1.3.15 dated 2024-01-12

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Package cccrm updated to version 2.2.1 with previous version 2.2.0 dated 2023-10-26

Title: Concordance Correlation Coefficient for Repeated (and Non-Repeated) Measures
Description: Estimates the Concordance Correlation Coefficient to assess agreement. The scenarios considered are non-repeated measures, non-longitudinal repeated measures (replicates) and longitudinal repeated measures. It also includes the estimation of the one-way intraclass correlation coefficient also known as reliability index. The estimation approaches implemented are variance components and U-statistics approaches. Description of methods can be found in Fleiss (1986) <doi:10.1002/9781118032923> and Carrasco et al. (2013) <doi:10.1016/j.cmpb.2012.09.002>.
Author: Josep Lluis Carrasco <jlcarrasco@ub.edu>, Josep Puig Martinez <j.puig04@gmail.com>
Maintainer: Josep Lluis Carrasco <jlcarrasco@ub.edu>

Diff between cccrm versions 2.2.0 dated 2023-10-26 and 2.2.1 dated 2024-01-12

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Package MASS updated to version 7.3-60.2 with previous version 7.3-60.1 dated 2023-07-17

Title: Support Functions and Datasets for Venables and Ripley's MASS
Description: Functions and datasets to support Venables and Ripley, "Modern Applied Statistics with S" (4th edition, 2002).
Author: Brian Ripley [aut, cre, cph], Bill Venables [ctb], Douglas M. Bates [ctb], Kurt Hornik [trl] , Albrecht Gebhardt [trl] , David Firth [ctb]
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>

Diff between MASS versions 7.3-60.1 dated 2023-07-17 and 7.3-60.2 dated 2024-01-12

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Package RcppSpdlog updated to version 0.0.16 with previous version 0.0.15 dated 2023-11-29

Title: R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides many desirable features. This package bundles these header files for easy use by R packages from both their R and C or C++ code. Explicit use via 'LinkingTo:' is also supported. Also see the 'spdl' package which enhanced this package with a consistent R and C++ interface.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSpdlog versions 0.0.15 dated 2023-11-29 and 0.0.16 dated 2024-01-12

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Permanent link

Package NeuralSens updated to version 1.1.1 with previous version 1.0.3 dated 2023-06-17

Title: Sensitivity Analysis of Neural Networks
Description: Analysis functions to quantify inputs importance in neural network models. Functions are available for calculating and plotting the inputs importance and obtaining the activation function of each neuron layer and its derivatives. The importance of a given input is defined as the distribution of the derivatives of the output with respect to that input in each training data point <doi:10.18637/jss.v102.i07>.
Author: Jose Portela Gonzalez [aut], Antonio Munoz San Roque [aut], Jaime Pizarroso Gonzalo [aut, ctb, cre]
Maintainer: Jaime Pizarroso Gonzalo <jpizarroso@comillas.edu>

Diff between NeuralSens versions 1.0.3 dated 2023-06-17 and 1.1.1 dated 2024-01-12

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Package meta updated to version 7.0-0 with previous version 6.5-0 dated 2023-06-07

Title: General Package for Meta-Analysis
Description: User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - common effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - three-level meta-analysis model; - generalised linear mixed model; - Hartung-Knapp method for random effects model; - Kenward-Roger method for random effects model; - prediction interval; - statistical tests for funnel plot asymmetry; - trim-and-fill method to evaluate bias in meta-analysis; - meta-regression; - cumulative meta-analysis and leave-one-out meta-analysis; - import data from 'RevMan 5'; - produce forest plot summarising several (subgroup) meta-analyses.
Author: Guido Schwarzer [cre, aut]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

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Package hawkesbow updated to version 1.0.3 with previous version 1.0.2 dated 2021-04-09

Title: Estimation of Hawkes Processes from Binned Observations
Description: Implements an estimation method for Hawkes processes when count data are only observed in discrete time, using a spectral approach derived from the Bartlett spectrum, see Cheysson and Lang (2020) <arXiv:2003.04314>. Some general use functions for Hawkes processes are also included: simulation of (in)homogeneous Hawkes process, maximum likelihood estimation, residual analysis, etc.
Author: Felix Cheysson [aut, cre]
Maintainer: Felix Cheysson <felix@cheysson.fr>

Diff between hawkesbow versions 1.0.2 dated 2021-04-09 and 1.0.3 dated 2024-01-12

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Permanent link

Package GE updated to version 0.4.2 with previous version 0.4.1 dated 2023-12-01

Title: General Equilibrium Modeling
Description: Some tools for developing general equilibrium models and some general equilibrium models. These models can be used for teaching economic theory and are built by the methods of new structural economics (see <https://www.nse.pku.edu.cn/> and LI Wu, 2019, ISBN: 9787521804225, General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press). The model form and mathematical methods can be traced back to J. von Neumann (1945, A Model of General Economic Equilibrium. The Review of Economic Studies, 13. pp. 1-9), J. G. Kemeny, O. Morgenstern and G. L. Thompson (1956, A Generalization of the von Neumann Model of an Expanding Economy, Econometrica, 24, pp. 115-135) et al. By the way, J. G. Kemeny is a co-inventor of the computer language BASIC.
Author: LI Wu <liwu@staff.shu.edu.cn>
Maintainer: LI Wu <liwu.shu@qq.com>

Diff between GE versions 0.4.1 dated 2023-12-01 and 0.4.2 dated 2024-01-12

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More information about GE at CRAN
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Package RDieHarder updated to version 0.2.6 with previous version 0.2.5 dated 2023-01-12

Title: R Interface to the 'DieHarder' RNG Test Suite
Description: The 'RDieHarder' package provides an R interface to the 'DieHarder' suite of random number generators and tests that was developed by Robert G. Brown and David Bauer, extending earlier work by George Marsaglia and others. The 'DieHarder' library code is included.
Author: Dirk Eddelbuettel, Robert G Brown, David Bauer plus contributors to DieHarder
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RDieHarder versions 0.2.5 dated 2023-01-12 and 0.2.6 dated 2024-01-12

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More information about RDieHarder at CRAN
Permanent link

Package DBI updated to version 1.2.1 with previous version 1.2.0 dated 2023-12-21

Title: R Database Interface
Description: A database interface definition for communication between R and relational database management systems. All classes in this package are virtual and need to be extended by the various R/DBMS implementations.
Author: R Special Interest Group on Databases [aut], Hadley Wickham [aut], Kirill Mueller [aut, cre] , R Consortium [fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between DBI versions 1.2.0 dated 2023-12-21 and 1.2.1 dated 2024-01-12

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More information about DBI at CRAN
Permanent link

Package shapviz updated to version 0.9.3 with previous version 0.9.2 dated 2023-10-14

Title: SHAP Visualizations
Description: Visualizations for SHAP (SHapley Additive exPlanations), such as waterfall plots, force plots, various types of importance plots, dependence plots, and interaction plots. These plots act on a 'shapviz' object created from a matrix of SHAP values and a corresponding feature dataset. Wrappers for the R packages 'xgboost', 'lightgbm', 'fastshap', 'shapr', 'h2o', 'treeshap', 'DALEX', and 'kernelshap' are added for convenience. By separating visualization and computation, it is possible to display factor variables in graphs, even if the SHAP values are calculated by a model that requires numerical features. The plots are inspired by those provided by the 'shap' package in Python, but there is no dependency on it.
Author: Michael Mayer [aut, cre], Adrian Stando [ctb]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between shapviz versions 0.9.2 dated 2023-10-14 and 0.9.3 dated 2024-01-12

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More information about shapviz at CRAN
Permanent link

Package LCMSQA updated to version 1.0.2 with previous version 1.0.1 dated 2023-08-08

Title: Liquid Chromatography/Mass Spectrometry (LC/MS) Quality Assessment
Description: The goal of 'LCMSQA' is to make it easy to check the quality of liquid chromatograph/mass spectrometry (LC/MS) experiments using a 'shiny' application. This package provides interactive data visualizations for quality control (QC) samples, including total ion current chromatogram (TIC), base peak chromatogram (BPC), mass spectrum, extracted ion chromatogram (XIC), and feature detection results from internal standards or known metabolites.
Author: Jaehyun Joo [aut, cre], Blanca Himes [aut]
Maintainer: Jaehyun Joo <jaehyunjoo@outlook.com>

Diff between LCMSQA versions 1.0.1 dated 2023-08-08 and 1.0.2 dated 2024-01-12

 DESCRIPTION        |   10 +++++-----
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More information about LCMSQA at CRAN
Permanent link

Package finbif updated to version 0.9.4 with previous version 0.9.3 dated 2023-09-28

Title: Interface for the 'Finnish Biodiversity Information Facility' API
Description: A programmatic interface to the 'Finnish Biodiversity Information Facility' ('FinBIF') API (<https://api.laji.fi>). 'FinBIF' aggregates Finnish biodiversity data from multiple sources in a single open access portal for researchers, citizen scientists, industry and government. 'FinBIF' allows users of biodiversity information to find, access, combine and visualise data on Finnish plants, animals and microorganisms. The 'finbif' package makes the publicly available data in 'FinBIF' easily accessible to programmers. Biodiversity information is available on taxonomy and taxon occurrence. Occurrence data can be filtered by taxon, time, location and other variables. The data accessed are conveniently preformatted for subsequent analyses.
Author: Finnish Museum of Natural History - Luomus [cph], William K. Morris [aut, cre]
Maintainer: William K. Morris <willi@mmorris.email>

Diff between finbif versions 0.9.3 dated 2023-09-28 and 0.9.4 dated 2024-01-12

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 LICENSE                                         |    2 
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 NAMESPACE                                       |   15 ----
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More information about finbif at CRAN
Permanent link

New package debar with initial version 0.1.1
Package: debar
Title: A Post-Clustering Denoiser for COI-5P Barcode Data
Version: 0.1.1
Author: Cameron M. Nugent
Maintainer: Cameron M. Nugent <camnugent@gmail.com>
Description: The 'debar' sequence processing pipeline is designed for denoising high throughput sequencing data for the animal DNA barcode marker cytochrome c oxidase I (COI). The package is designed to detect and correct insertion and deletion errors within sequencer outputs. This is accomplished through comparison of input sequences against a profile hidden Markov model (PHMM) using the Viterbi algorithm (for algorithm details see Durbin et al. 1998, ISBN: 9780521629713). Inserted base pairs are removed and deleted base pairs are accounted for through the introduction of a placeholder character. Since the PHMM is a probabilistic representation of the COI barcode, corrections are not always perfect. For this reason 'debar' censors base pairs adjacent to reported indel sites, turning them into placeholder characters (default is 7 base pairs in either direction, this feature can be disabled). Testing has shown that this censorship results in the correct sequence length being restored, and erroneous [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R(>= 3.0.0)
Imports: ape, aphid, seqinr, parallel
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-01-12 10:56:29 UTC; cnuge
Repository: CRAN
Date/Publication: 2024-01-12 11:20:02 UTC

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Permanent link

Package paws.cost.management updated to version 0.5.0 with previous version 0.4.0 dated 2023-09-11

Title: 'Amazon Web Services' Cost Management Services
Description: Interface to 'Amazon Web Services' cost management services, including cost and usage reports, budgets, pricing, and more <https://aws.amazon.com/>.
Author: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between paws.cost.management versions 0.4.0 dated 2023-09-11 and 0.5.0 dated 2024-01-12

 DESCRIPTION                                                        |   14 
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 NAMESPACE                                                          |    2 
 R/billingconductor_interfaces.R                                    |   24 +
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Permanent link

Package openxlsx2 updated to version 1.3 with previous version 1.2 dated 2023-11-29

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

Diff between openxlsx2 versions 1.2 dated 2023-11-29 and 1.3 dated 2024-01-12

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 LICENSE                                       |    2 
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 NAMESPACE                                     |    1 
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 R/openxlsx2-package.R                         |    6 
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 man/wb_cell_style.Rd                          |   25 +++
 man/wb_load.Rd                                |   83 +++++++-----
 man/wb_protect_worksheet.Rd                   |    3 
 man/wb_to_df.Rd                               |   17 +-
 src/RcppExports.cpp                           |   12 +
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 tests/testthat/test-class-comment.R           |   40 ++++++
 tests/testthat/test-class-workbook-wrappers.R |   17 ++
 tests/testthat/test-class-workbook.R          |   18 ++
 tests/testthat/test-helper-functions.R        |   20 ++-
 tests/testthat/test-loading_workbook.R        |    9 +
 tests/testthat/test-read_from_created_wb.R    |   14 ++
 tests/testthat/test-wb_styles.R               |   35 +++++
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 vignettes/openxlsx2_style_manual.Rmd          |    4 
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New package tsLSTMx with initial version 0.1.0
Package: tsLSTMx
Title: Predict Time Series Using LSTM Model Including Exogenous Variable to Denote Zero Values
Version: 0.1.0
Author: Sandip Garai [aut, cre], Krishna Pada Sarkar [aut]
Maintainer: Sandip Garai <sandipnicksandy@gmail.com>
Description: It is a versatile tool for predicting time series data using Long Short-Term Memory (LSTM) models. It is specifically designed to handle time series with an exogenous variable, allowing users to denote whether data was available for a particular period or not. The package encompasses various functionalities, including hyperparameter tuning, custom loss function support, model evaluation, and one-step-ahead forecasting. With an emphasis on ease of use and flexibility, it empowers users to explore, evaluate, and deploy LSTM models for accurate time series predictions and forecasting in diverse applications. More details can be found in Garai and Paul (2023) <doi:10.1016/j.iswa.2023.200202>.
License: GPL-3
Encoding: UTF-8
Imports: tensorflow, AllMetrics, keras, reticulate
NeedsCompilation: no
Packaged: 2024-01-11 18:04:43 UTC; user
Repository: CRAN
Date/Publication: 2024-01-12 09:30:02 UTC

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New package spedecon with initial version 0.1
Package: spedecon
Title: Smoothness-Penalized Deconvolution for Density Estimation Under Measurement Error
Version: 0.1
Date: 2024-01-11
URL: https://www.davidjkent.org
Description: Implements the Smoothness-Penalized Deconvolution method for estimating a probability density under measurement error of Kent and Ruppert (2023) <doi:10.1080/01621459.2023.2259028>. The estimator is formed by computing a histogram of the error-contaminated data, and then finding an estimate that minimizes a reconstruction error plus a smoothness-inducing penalty term. The primary function, sped(), takes the data and error distribution, and returns the estimator as a function.
License: GPL-3
Imports: quadprog, splines, methods, stats, graphics
NeedsCompilation: no
Encoding: UTF-8
Packaged: 2024-01-12 00:00:28 UTC; davidk
Author: David Kent [aut, cre]
Maintainer: David Kent <dk657@cornell.edu>
Repository: CRAN
Date/Publication: 2024-01-12 10:00:02 UTC

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New package rgm with initial version 1.0.1
Package: rgm
Title: Advanced Inference with Random Graphical Models
Version: 1.0.1
Description: Implements state-of-the-art Random Graphical Models (RGMs) for multivariate data analysis across multiple environments, offering tools for exploring network interactions and structural relationships. Capabilities include joint inference across environments, integration of external covariates, and a Bayesian framework for uncertainty quantification. Applicable in various fields, including microbiome analysis. Methods based on Vinciotti, V., Wit, E., & Richter, F. (2023). "Random Graphical Model of Microbiome Interactions in Related Environments." <arXiv:2304.01956>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: truncnorm, mvtnorm, BDgraph, MASS, ggplot2, pROC, reshape2, huge
LinkingTo: Rcpp
BugReports: https://github.com/franciscorichter/rgm/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-01-11 19:55:37 UTC; pancho
Author: Francisco Richter [aut, cre], Veronica Vinciotti [ctb], Ernst Wit [ctb]
Maintainer: Francisco Richter <richtf@usi.ch>
Repository: CRAN
Date/Publication: 2024-01-12 09:50:02 UTC

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New package ReporterScore with initial version 0.1.1
Package: ReporterScore
Title: Generalized Reporter Score-Based Enrichment Analysis for Omics Data
Version: 0.1.1
Description: Inspired by the classic 'RSA', we developed the improved 'Generalized Reporter Score-based Analysis (GRSA)' method, implemented in the R package 'ReporterScore', along with comprehensive visualization methods and pathway databases. 'GRSA' is a threshold-free method that works well with all types of biomedical features, such as genes, chemical compounds, and microbial species. Importantly, the 'GRSA' supports multi-group and longitudinal experimental designs, because of the included multi-group-compatible statistical methods.
License: GPL-3
Encoding: UTF-8
Imports: magrittr, dplyr, stats, ggplot2 (>= 3.2.0), pcutils, utils, scales, ggnewscale, reshape2, stringr, foreach
Suggests: knitr, rmarkdown, plyr, e1071, factoextra, snow, doSNOW, pheatmap, readr, ggrepel, R.utils, KEGGREST, clusterProfiler, enrichplot, pathview, GSA, vegan
Depends: R (>= 4.2.0)
VignetteBuilder: knitr
BugReports: https://github.com/Asa12138/ReporterScore/issues
URL: https://github.com/Asa12138/ReporterScore
NeedsCompilation: no
Packaged: 2024-01-11 18:54:50 UTC; asa
Author: Chen Peng [aut, cre]
Maintainer: Chen Peng <pengchen2001@zju.edu.cn>
Repository: CRAN
Date/Publication: 2024-01-12 09:50:05 UTC

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New package MetaNet with initial version 0.1.0
Package: MetaNet
Title: Network Analysis for Omics Data
Version: 0.1.0
Description: Comprehensive network analysis package. Calculate correlation network fastly, accelerate lots of analysis by parallel computing. Support for multi-omics data, search sub-nets fluently. Handle bigger data, more than 10,000 nodes in each omics. Offer various layout method for multi-omics network and some interfaces to other software ('Gephi', 'Cytoscape', 'ggplot2'), easy to visualize. Provide comprehensive topology indexes calculation, including ecological network stability.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0), igraph (>= 1.3.5)
LazyData: true
Imports: graphics, dplyr, ggplot2 (>= 3.2.0), grDevices, magrittr, reshape2, stats, tibble, utils, pcutils, vegan, rlang, stringr
Suggests: pheatmap, foreach, doSNOW, snow, ggrepel, ggpubr, RColorBrewer, knitr, rmarkdown, prettydoc, Hmisc, gifski, ggnewscale, ggraph, networkD3, ggpmisc, ggtree, treeio, circlize
VignetteBuilder: knitr
BugReports: https://github.com/Asa12138/MetaNet/issues
URL: https://github.com/Asa12138/MetaNet
ByteCompile: true
NeedsCompilation: no
Packaged: 2024-01-11 15:57:00 UTC; asa
Author: Peng Chen [aut, cre]
Maintainer: Peng Chen <pengchen2001@zju.edu.cn>
Repository: CRAN
Date/Publication: 2024-01-12 09:20:03 UTC

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New package GaMaBioMD with initial version 0.1.0
Package: GaMaBioMD
Title: Diversity Analysis for Sequence Data
Version: 0.1.0
Author: Sandip Garai [aut, cre], Shrikant Mantri [aut]
Maintainer: Sandip Garai <sandipnicksandy@gmail.com>
Description: The full form is Garai and Mantri Biological Material Diversity. It is an R package designed for the calculation of biological diversity using sequence data. It simplifies the process by requiring only sample IDs and accession numbers. Whether you're analyzing genetic or microbial diversity, It provides efficient tools for diversity analysis. Serially one should go for the functions as presented here expand_accession_ranges(), get_sequence_information(), preprocess_for_alignment(), write_fasta(), SampleID_vs_NumSequences(), data_sampling(), alignment_info(), compute_average_similarity_matrix(), generate_heatmaps(), clustering_average_similarity(), clustering_percent_similarity(), bubble_plot_count(), bubble_plot_percentage(), tree_average_similarity(), tree_percent_similarity(). Till date there are total 15 functions. More details can be found in Faith (1992) <doi:10.1016/0006-3207(92)91201-3>.
License: GPL-3
Encoding: UTF-8
Imports: traits, dplyr, magrittr, ggplot2, Biostrings, heatmaply, reshape2, dendextend, stats
NeedsCompilation: no
Packaged: 2024-01-11 18:02:40 UTC; user
Repository: CRAN
Date/Publication: 2024-01-12 09:20:06 UTC

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New package EventPredInCure with initial version 1.0
Package: EventPredInCure
Title: Event Prediction Including Cured Population
Version: 1.0
Date: 2023-12-19
Description: Predicts enrollment and events assumed enrollment and treatment-specific time-to-event models, and calculates test statistics for time-to-event data with cured population based on the simulation.Methods for prediction event in the existence of cured population are as described in : Chen, Tai-Tsang(2016) <doi:10.1186/s12874-016-0117-3>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: perm (>= 1.0.0.2), msm (>= 1.7.0), MLEcens (>= 0.1.7), KMsurv (>= 0.1.5), dplyr (>= 1.1.0), rlang (>= 1.0.6), plotly (>= 4.10.1), survival (>= 2.41-3), splines (>= 3.5.0), Matrix (>= 1.2-14), mvtnorm (>= 1.1-3), rstpm2 (>= 1.6.1), numDeriv (>= 2016.8-1.1), tmvtnsim (>= 0.1.3), erify (>= 0.4.0), stats (>= 3.5.0), utils (>= 4.1.2), lubridate (>= 1.9.2), flexsurv (>= 2.2.2), MASS (>= 7.3.54)
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2024-01-11 21:53:14 UTC; bo1.wei@beigenecorp.net
Author: Bo Wei [aut, cre] , Kaifeng Lu [aut] , Brent McHenry [aut]
Maintainer: Bo Wei <bowei1990@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-12 10:00:05 UTC

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New package weird with initial version 1.0.0
Package: weird
Title: Functions and Data Sets for "That's Weird: Anomaly Detection Using R" by Rob J Hyndman
Version: 1.0.0
Description: All functions and data sets required for the examples in the book Hyndman (2024) "That's Weird: Anomaly Detection Using R" <https://OTexts.com/weird/>. All packages needed to run the examples are also loaded.
Imports: aplpack, broom, cli (>= 1.0.0), crayon (>= 1.3.4), dbscan, dplyr (>= 0.7.4), evd, ggplot2 (>= 3.1.1), grDevices, interp, ks, purrr (>= 0.2.4), rlang, robustbase, rstudioapi (>= 0.7), stray, tibble (>= 1.4.2)
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1.0)
Suggests: mgcv, testthat (>= 3.0.0), tidyr
URL: https://pkg.robjhyndman.com/weird-package/, https://github.com/robjhyndman/weird-package
BugReports: https://github.com/robjhyndman/weird-package/issues
NeedsCompilation: no
Packaged: 2024-01-11 10:59:11 UTC; hyndman
Author: Rob Hyndman [aut, cre, cph] , RStudio [cph]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>
Repository: CRAN
Date/Publication: 2024-01-12 09:00:02 UTC

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New package VBTree with initial version 0.1.1
Package: VBTree
Title: Vector Binary Tree to Make Your Data Management More Efficient
Version: 0.1.1
Date: 2024-01-09
Description: Vector binary tree provides a new data structure, to make your data visiting and management more efficient. If the data has structured column names, it can read these names and factorize them through specific split pattern, then build the mappings within double list, vector binary tree, array and tensor mutually, through which the batched data processing is achievable easily. The methods of array and tensor are also applicable. Detailed methods are described in Chen Zhang et al. (2020) <doi:10.35566/isdsa2019c8>.
Imports: tensorA
Depends: R (>= 2.10)
License: GPL-3
URL: https://github.com/CubicZebra/VBTree
BugReports: https://github.com/CubicZebra/VBTree/issues
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-01-11 09:20:13 UTC; Chen
Author: Chen Zhang [aut, cre, cph]
Maintainer: Chen Zhang <chen.zhang_06sept@foxmail.com>
Repository: CRAN
Date/Publication: 2024-01-12 09:00:13 UTC

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New package symptomcheckR with initial version 0.1.1
Package: symptomcheckR
Title: Analyzing and Visualizing Symptom Checker Performance
Version: 0.1.1
Maintainer: Marvin Kopka <marvin.kopka@tu-berlin.de>
Description: Easily analyze and visualize the performance of symptom checkers. This package can be used to gain comprehensive insights into the performance of single symptom checkers or the performance of multiple symptom checkers. It can be used to easily compare these symptom checkers across several metrics to gain an understanding of their strengths and weaknesses. The metrics are developed in Kopka et al. (2023) <doi:10.1177/20552076231194929>.
License: GPL-3
URL: https://github.com/ma-kopka/symptomcheckR
BugReports: https://github.com/ma-kopka/symptomcheckR/issues
Depends: R (>= 3.5.0)
Imports: dplyr (>= 1.0.0), ggplot2 (>= 3.2.0), ggpubr (>= 0.6.0), tidyr (>= 1.3.0)
Suggests: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-01-11 10:07:44 UTC; marvin
Author: Marvin Kopka [cre, aut] , Malte L. Schmieding [aut] , Markus A. Feufel [aut]
Repository: CRAN
Date/Publication: 2024-01-12 09:00:06 UTC

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Package mirai updated to version 0.12.0 with previous version 0.11.3 dated 2023-12-07

Title: Minimalist Async Evaluation Framework for R
Description: Lightweight parallel code execution and distributed computing. Designed for simplicity, a 'mirai' evaluates an R expression asynchronously, on local or network resources, resolving automatically upon completion. Efficient scheduling over fast inter-process communications or secure TLS connections over TCP/IP, built on 'nanonext' and 'NNG' (Nanomsg Next Gen).
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

Diff between mirai versions 0.11.3 dated 2023-12-07 and 0.12.0 dated 2024-01-12

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Package optimall updated to version 0.1.4 with previous version 0.1.3 dated 2023-09-06

Title: Allocate Samples Among Strata
Description: Functions for the design process of survey sampling, with specific tools for multi-wave and multi-phase designs. Perform optimum allocation using Neyman (1934) <doi:10.2307/2342192> or Wright (2012) <doi:10.1080/00031305.2012.733679> allocation, split strata based on quantiles or values of known variables, randomly select samples from strata, allocate sampling waves iteratively, and organize a complex survey design. Also includes a Shiny application for observing the effects of different strata splits.
Author: Jasper Yang [aut, cre], Pamela Shaw [aut], Bryan Shepherd [ctb], Thomas Lumley [ctb], Gustavo Amorim [rev]
Maintainer: Jasper Yang <jbyang@uw.edu>

Diff between optimall versions 0.1.3 dated 2023-09-06 and 0.1.4 dated 2024-01-12

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 12 files changed, 650 insertions(+), 627 deletions(-)

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Package echarty updated to version 1.6.3 with previous version 1.6.2 dated 2023-10-15

Title: Minimal R/Shiny Interface to JavaScript Library 'ECharts'
Description: Deliver the full functionality of 'ECharts' with minimal overhead. 'echarty' users build R lists for 'ECharts' API. Lean set of powerful commands.
Author: Larry Helgason, with initial code from John Coene's library echarts4r
Maintainer: Larry Helgason <larry@helgasoft.com>

Diff between echarty versions 1.6.2 dated 2023-10-15 and 1.6.3 dated 2024-01-12

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 echarty-1.6.3/echarty/tests/testthat/test-other.R     |  114 +-
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 24 files changed, 852 insertions(+), 608 deletions(-)

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