Wed, 14 Sep 2022

Package mosaicCalc updated to version 0.6.0 with previous version 0.5.1 dated 2020-05-07

Title: R-Language Based Calculus Operations for Teaching
Description: Software to support the introductory *MOSAIC Calculus* textbook <https://www.mosaic-web.org/MOSAIC-Calculus/>), one of many data- and modeling-oriented educational resources developed by Project MOSAIC (<https://www.mosaic-web.org/>). Provides symbolic and numerical differentiation and integration, as well as support for applied linear algebra (for data science), and differential equations/dynamics. Includes grammar-of-graphics-based functions for drawing vector fields, trajectories, etc. The software is suitable for general use, but intended mainly for teaching calculus.
Author: Daniel T. Kaplan <kaplan@macalester.edu>, Randall Pruim <rpruim@calvin.edu>, Nicholas J. Horton <nhorton@amherst.edu>
Maintainer: Daniel Kaplan <kaplan@macalester.edu>

Diff between mosaicCalc versions 0.5.1 dated 2020-05-07 and 0.6.0 dated 2022-09-14

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Package matrixcalc updated to version 1.0-6 with previous version 1.0-5 dated 2021-07-28

Title: Collection of Functions for Matrix Calculations
Description: A collection of functions to support matrix calculations for probability, econometric and numerical analysis. There are additional functions that are comparable to APL functions which are useful for actuarial models such as pension mathematics. This package is used for teaching and research purposes at the Department of Finance and Risk Engineering, New York University, Polytechnic Institute, Brooklyn, NY 11201. Horn, R.A. (1990) Matrix Analysis. ISBN 978-0521386326. Lancaster, P. (1969) Theory of Matrices. ISBN 978-0124355507. Lay, D.C. (1995) Linear Algebra: And Its Applications. ISBN 978-0201845563.
Author: Frederick Novomestky <fnovomes@poly.edu>
Maintainer: S. Thomas Kelly <tomkellygenetics@gmail.com>

Diff between matrixcalc versions 1.0-5 dated 2021-07-28 and 1.0-6 dated 2022-09-14

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Package adjclust updated to version 0.6.6 with previous version 0.6.5 dated 2022-08-18

Title: Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix
Description: Implements a constrained version of hierarchical agglomerative clustering, in which each observation is associated to a position, and only adjacent clusters can be merged. Typical application fields in bioinformatics include Genome-Wide Association Studies or Hi-C data analysis, where the similarity between items is a decreasing function of their genomic distance. Taking advantage of this feature, the implemented algorithm is time and memory efficient. This algorithm is described in Ambroise et al (2019) <https://almob.biomedcentral.com/articles/10.1186/s13015-019-0157-4>.
Author: Christophe Ambroise [aut], Shubham Chaturvedi [aut], Alia Dehman [aut], Pierre Neuvial [aut, cre], Guillem Rigaill [aut], Nathalie Vialaneix [aut], Gabriel Hoffman [aut]
Maintainer: Pierre Neuvial <pierre.neuvial@math.univ-toulouse.fr>

Diff between adjclust versions 0.6.5 dated 2022-08-18 and 0.6.6 dated 2022-09-14

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Package webdeveloper updated to version 1.0.4 with previous version 1.0.3 dated 2022-08-08

Title: Functions for Web Development
Description: Organizational framework for web development in R including functions to serve static and dynamic content via HTTP methods, includes the html5 package to create HTML pages, and offers other utility functions for common tasks related to web development.
Author: Timothy Conwell
Maintainer: Timothy Conwell <timconwell@gmail.com>

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Package Rnumerai updated to version 3.0.1 with previous version 3.0.0 dated 2022-08-25

Title: Interface to the Numerai Machine Learning Tournament API
Description: Routines to interact with the Numerai Machine Learning Tournament API <https://numer.ai>. The functionality includes the ability to automatically download the current tournament data, submit predictions, and to get information for your user.
Author: Omni Analytics Group [aut], Eric Hare [cre], Yogesh Bansal [ctb]
Maintainer: Eric Hare <eric@omnianalytics.org>

Diff between Rnumerai versions 3.0.0 dated 2022-08-25 and 3.0.1 dated 2022-09-14

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Package AgroTech updated to version 1.0.2 with previous version 1.0.1 dated 2022-01-25

Title: Data Analysis of Pesticide Application Technology
Description: In total it has 7 functions, three for calculating machine calibration, which determine application rate (L/ha), nozzle flow (L/min) and amount of product (L or kg) to be added. to the tank with each sprayer filling. Two functions for graphs of the flow distribution of the nozzles (L/min) in the application bar and, of the temporal variability of the meteorological conditions (air temperature, relative humidity of the air and wind speed). Two functions to determine the spray deposit (uL/cm2), through the methodology called spectrophotometry, with the aid of bright blue (Palladini, L.A., Raetano, C.G., Velini, E.D. (2005), <doi:10.1590/S0103-90162005000500005>) or metallic markers (Chaim, A., Castro, V.L.S.S., Correles, F.M., Galvão, J.A.H., Cabral, O.M.R., Nicolella, G. (1999), <doi:10.1590/S0100-204X1999000500003>). The package supports the analysis and representation of information, using a single free software that meets the most diverse areas of activity in application [...truncated...]
Author: Rodrigo Yudi Palhaci Marubayashi [aut, cre] , Gabriel Danilo Shimizu [aut, ctb] , Otavio Jorge Grigoli Abi Saab [aut, ctb]
Maintainer: Rodrigo Yudi Palhaci Marubayashi <marubayashi@uel.br>

Diff between AgroTech versions 1.0.1 dated 2022-01-25 and 1.0.2 dated 2022-09-14

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Package BayesTools updated to version 0.2.13 with previous version 0.2.12 dated 2022-07-11

Title: Tools for Bayesian Analyses
Description: Provides tools for conducting Bayesian analyses. The package contains functions for creating a wide range of prior distribution objects, mixing posterior samples from 'JAGS' and 'Stan' models, plotting posterior distributions, and etc... The tools for working with prior distribution span from visualization, generating 'JAGS' and 'bridgesampling' syntax to basic functions such as rng, quantile, and distribution functions.
Author: Frantisek Bartos [aut, cre]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

Diff between BayesTools versions 0.2.12 dated 2022-07-11 and 0.2.13 dated 2022-09-14

 DESCRIPTION                                                                               |    6 
 MD5                                                                                       |  492 
 NEWS.md                                                                                   |   13 
 R/JAGS-formula.R                                                                          |   17 
 R/JAGS-marglik.R                                                                          |   34 
 R/model-averaging-plots.R                                                                 |    9 
 R/model-averaging.R                                                                       |    2 
 R/priors-density.R                                                                        |    9 
 R/summary-tables.R                                                                        |  138 
 build/partial.rdb                                                                         |binary
 inst/doc/ComparisonR.html                                                                 |   21 
 inst/doc/SpikeAndSlab.html                                                                |   17 
 man/BayesTools.Rd                                                                         |   54 
 man/BayesTools_model_tables.Rd                                                            |    9 
 man/JAGS_diagnostics.Rd                                                                   |  234 
 man/JAGS_evaluate_formula.Rd                                                              |   66 
 man/add_column.Rd                                                                         |   70 
 man/interpret.Rd                                                                          |   74 
 man/parameter_names.Rd                                                                    |   76 
 man/transform_orthonormal_samples.Rd                                                      |   48 
 tests/testthat.R                                                                          |   10 
 tests/testthat/_snaps/JAGS-fit/jags-fit-posterior.svg                                     |  492 
 tests/testthat/_snaps/JAGS-fit/jags-model-prior-11.svg                                    |  124 
 tests/testthat/_snaps/JAGS-fit/jags-model-prior-factor-1.svg                              |20298 ++++-----
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 tests/testthat/_snaps/JAGS-fit/jags-model-prior-factor-3.svg                              |20316 ++++-----
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 tests/testthat/_snaps/JAGS-fit/jags-model-prior-vector-2.svg                              |20044 ++++-----
 tests/testthat/_snaps/JAGS-fit/jags-model-prior-vector-3.svg                              |20320 +++++-----
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 tests/testthat/_snaps/model-averaging-plots/model-averaging-plot-prior-petpeese-11.svg    |  124 
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 tests/testthat/_snaps/model-averaging-plots/model-averaging-plot-prior-petpeese-7.svg     |  120 
 tests/testthat/_snaps/model-averaging-plots/model-averaging-plot-prior-petpeese-9.svg     |  116 
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 tests/testthat/_snaps/model-averaging-plots/model-averaging-plot-prior-simple-2.svg       |  164 
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 247 files changed, 71589 insertions(+), 71425 deletions(-)

More information about BayesTools at CRAN
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Package dirttee updated to version 1.0.1 with previous version 1.0 dated 2022-08-18

Title: Distributional Regression for Time to Event Data
Description: Semiparametric distributional regression methods (expectile, quantile and mode regression) for time-to-event variables with right-censoring; uses inverse probability of censoring weights or accelerated failure time models with auxiliary likelihoods. Expectile regression using inverse probability of censoring weights has been introduced in Seipp et al. (2021) "Weighted Expectile Regression for Right-Censored Data" <doi:10.1002/sim.9137>, mode regression for time-to-event variables has been introduced in Seipp et al. (2022) "Flexible Semiparametric Mode Regression for Time-to-Event Data" <doi:10.1177/09622802221122406>.
Author: Alexander Seipp [aut, cre], Fabian Otto-Sobotka [aut]
Maintainer: Alexander Seipp <alexander.seipp@uni-oldenburg.de>

Diff between dirttee versions 1.0 dated 2022-08-18 and 1.0.1 dated 2022-09-14

 DESCRIPTION |   14 +++++++-------
 MD5         |    2 +-
 2 files changed, 8 insertions(+), 8 deletions(-)

More information about dirttee at CRAN
Permanent link

Package priceR updated to version 0.1.66 with previous version 0.1.64 dated 2022-09-01

Title: Economics and Pricing Tools
Description: Functions to aid in micro and macro economic analysis and handling of price and currency data. Includes extraction of relevant inflation and exchange rate data from World Bank API, data cleaning/parsing, and standardisation. Inflation adjustment calculations as found in Principles of Macroeconomics by Gregory Mankiw et al (2014). Current and historical end of day exchange rates for 171 currencies from the European Central Bank Statistical Data Warehouse (2020) <https://sdw.ecb.europa.eu/curConverter.do>.
Author: Steve Condylios [aut, cre], Bruno Mioto [ctb], Bryan Shalloway [ctb]
Maintainer: Steve Condylios <steve.condylios@gmail.com>

Diff between priceR versions 0.1.64 dated 2022-09-01 and 0.1.66 dated 2022-09-14

 DESCRIPTION                |   20 ++--
 MD5                        |   13 +--
 NAMESPACE                  |    4 
 R/adjust_for_inflation.R   |    2 
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Package EthSEQ updated to version 3.0.0 with previous version 2.1.4 dated 2021-02-18

Title: Ethnicity Annotation from Whole-Exome and Targeted Sequencing Data
Description: Reliable and rapid ethnicity annotation from whole exome and targeted sequencing data.
Author: Alessandro Romanel [aut, cre], Davide Dalfovo [aut]
Maintainer: Alessandro Romanel <alessandro.romanel@unitn.it>

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Package sjSDM updated to version 1.0.3 with previous version 1.0.2 dated 2022-06-23

Title: Scalable Joint Species Distribution Modeling
Description: A scalable method to estimate joint Species Distribution Models (jSDMs) for big community datasets based on a Monte Carlo approximation of the joint likelihood. The numerical approximation is based on 'PyTorch' and 'reticulate', and can be run on CPUs and GPUs alike. The method is described in Pichler & Hartig (2021) <doi:10.1111/2041-210X.13687>. The package contains various extensions, including support for different response families, ability to account for spatial autocorrelation, and deep neural networks instead of the linear predictor in jSDMs.
Author: Maximilian Pichler [aut, cre] , Florian Hartig [aut] , Wang Cai [ctb]
Maintainer: Maximilian Pichler <maximilian.pichler@biologie.uni-regensburg.de>

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Package condvis2 updated to version 0.1.2 with previous version 0.1.1 dated 2020-09-25

Title: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny
Description: Constructs a shiny app function with interactive displays for conditional visualization of models, data and density functions. An extended version of package 'condvis'. Catherine B. Hurley, Mark O'Connell,Katarina Domijan (2021) <doi:10.1080/10618600.2021.1983439>.
Author: Catherine Hurley [aut, cre], Mark OConnell [aut], Katarina Domijan [aut]
Maintainer: Catherine Hurley <catherine.hurley@mu.ie>

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Package labelled updated to version 2.10.0 with previous version 2.9.1 dated 2022-05-05

Title: Manipulating Labelled Data
Description: Work with labelled data imported from 'SPSS' or 'Stata' with 'haven' or 'foreign'. This package provides useful functions to deal with "haven_labelled" and "haven_labelled_spss" classes introduced by 'haven' package.
Author: Joseph Larmarange [aut, cre] , Daniel Ludecke [ctb], Hadley Wickham [ctb], Michal Bojanowski [ctb], Francois Briatte [ctb]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package medfate updated to version 2.8.0 with previous version 2.7.3 dated 2022-05-10

Title: Mediterranean Forest Simulation
Description: Functions to simulate Mediterranean forest functioning and dynamics using cohort-based description of vegetation [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>; De Caceres et al. (2021) <doi:10.1016/j.agrformet.2020.108233>].
Author: Miquel De Caceres [aut, cre] , Shengli Huang [aut] , Victor Granda [aut] , Antoine Cabon [aut] , Aitor Ameztegui [ctb] , Jordi Martinez-Vilalta [ctb] , Maurizio Mencuccini [ctb] , Nicolas Martin-StPaul [ctb]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

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Package taxadb updated to version 0.1.6 with previous version 0.1.5 dated 2022-05-03

Title: A High-Performance Local Taxonomic Database Interface
Description: Creates a local database of many commonly used taxonomic authorities and provides functions that can quickly query this data.
Author: Carl Boettiger [aut, cre] , Kari Norman [aut] , Jorrit Poelen [aut] , Scott Chamberlain [aut] , Noam Ross [ctb]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package rmBayes updated to version 0.1.15 with previous version 0.1.14 dated 2022-09-12

Title: Performing Bayesian Inference for Repeated-Measures Designs
Description: A Bayesian credible interval is interpreted with respect to posterior probability, and this interpretation is far more intuitive than that of a frequentist confidence interval. However, standard highest-density intervals can be wide due to between-subjects variability and tends to hide within-subjects effects, rendering its relationship with the Bayes factor less clear in within-subjects (repeated-measures) designs. This urgent issue can be addressed by using within-subjects intervals in within-subjects designs, which integrate four methods including the Loftus-Masson (1994) <doi:10.3758/BF03210951>, the Rouder-Morey-Speckman-Province (2012) <doi:10.1016/j.jmp.2012.08.001>, the Nathoo-Kilshaw-Masson (2018) <doi:10.1016/j.jmp.2018.07.005>, and the Heck (2019) <doi:10.31234/osf.io/whp8t> interval estimates.
Author: Zhengxiao Wei [aut, cre] , Farouk S. Nathoo [aut] , Michael E.J. Masson [aut]
Maintainer: Zhengxiao Wei <zhengxiao@uvic.ca>

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Package ribd updated to version 1.5.0 with previous version 1.4.0 dated 2022-04-16

Title: Pedigree-based Relatedness Coefficients
Description: Recursive algorithms for computing various relatedness coefficients, including pairwise kinship, kappa and identity coefficients. Both autosomal and X-linked coefficients are computed. Founders are allowed to be inbred, which enables construction of any given kappa coefficients, as described in Vigeland (2020) <doi:10.1007/s00285-020-01505-x>. In addition to the standard coefficients, 'ribd' also computes a range of lesser-known coefficients, including generalised kinship coefficients (Karigl (1981) <doi:10.1111/j.1469-1809.1981.tb00341.x>; Weeks and Lange (1988) <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1715269>), two-locus coefficients (Thompson (1988) <doi:10.1093/imammb/5.4.261>) and multi-person coefficients. This package is part of the 'ped suite', a collection of packages for pedigree analysis in R. Several methods of 'ribd' are featured in the online app 'QuickPed' available at <https://magnusdv.shinyapps.io/quickped>. See Vigeland (2022) <d [...truncated...]
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package GWASinlps updated to version 2.0 with previous version 1.2 dated 2018-07-19

Title: Non-Local Prior Based Iterative Variable Selection Tool for Genome-Wide Association Studies
Description: Performs variable selection with data from Genome-wide association studies (GWAS), or other high-dimensional data, combining in an iterative framework, the computational efficiency of the screen-and-select variable selection approach based on some association learning and the parsimonious uncertainty quantification provided by the use of non-local priors as described in Sanyal et al. (2019) <DOI:10.1093/bioinformatics/bty472>.
Author: Nilotpal Sanyal [aut, cre]
Maintainer: Nilotpal Sanyal <nilotpal.sanyal@gmail.com>

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Package bayesmeta updated to version 3.1 with previous version 3.0 dated 2022-02-21

Title: Bayesian Random-Effects Meta-Analysis and Meta-Regression
Description: A collection of functions allowing to derive the posterior distribution of the model parameters in random-effects meta-analysis or meta-regression, and providing functionality to evaluate joint and marginal posterior probability distributions, predictive distributions, shrinkage effects, posterior predictive p-values, etc.; For more details, see also Roever C (2020) <doi:10.18637/jss.v093.i06>, or Roever C and Friede T (2022) <arXiv:2209.06004>.
Author: Christian Roever [aut, cre] , Tim Friede [ctb]
Maintainer: Christian Roever <christian.roever@med.uni-goettingen.de>

Diff between bayesmeta versions 3.0 dated 2022-02-21 and 3.1 dated 2022-09-14

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Package arrow updated to version 9.0.0.1 with previous version 9.0.0 dated 2022-08-10

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut, cre], Ian Cook [aut], Nic Crane [aut], Dewey Dunnington [aut] , Romain Francois [aut] , Jonathan Keane [aut], Dragoș Moldovan-Gruenfeld [aut], Jeroen Ooms [aut], Javier Luraschi [ctb], Karl Dunkle Werner [ctb] , Jeffrey Wong [ctb [...truncated...]
Maintainer: Neal Richardson <neal@ursalabs.org>

Diff between arrow versions 9.0.0 dated 2022-08-10 and 9.0.0.1 dated 2022-09-14

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Package scCATCH updated to version 3.2 with previous version 3.1 dated 2022-05-14

Title: Single Cell Cluster-Based Annotation Toolkit for Cellular Heterogeneity
Description: An automatic cluster-based annotation pipeline based on evidence-based score by matching the marker genes with known cell markers in tissue-specific cell taxonomy reference database for single-cell RNA-seq data. See Shao X, et al (2020) <doi:10.1016/j.isci.2020.100882> for more details.
Author: Xin Shao
Maintainer: Xin Shao<xin_shao@zju.edu.cn>

Diff between scCATCH versions 3.1 dated 2022-05-14 and 3.2 dated 2022-09-14

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Package RCTS updated to version 0.2.3 with previous version 0.2.2 dated 2022-06-20

Title: Clustering Time Series While Resisting Outliers
Description: Robust Clustering of Time Series (RCTS) has the functionality to cluster time series using both the classical and the robust interactive fixed effects framework. The classical framework is developed in Ando & Bai (2017) <doi:10.1080/01621459.2016.1195743>. The implementation within this package excludes the SCAD-penalty on the estimations of beta. This robust framework is developed in Boudt & Heyndels (2022) <doi:10.1016/j.ecosta.2022.01.002> and is made robust against different kinds of outliers. The algorithm iteratively updates beta (the coefficients of the observable variables), group membership, and the latent factors (which can be common and/or group-specific) along with their loadings. The number of groups and factors can be estimated if they are unknown.
Author: Ewoud Heyndels [aut, cre]
Maintainer: Ewoud Heyndels <ewoud.heyndels@vub.be>

Diff between RCTS versions 0.2.2 dated 2022-06-20 and 0.2.3 dated 2022-09-14

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Package openssl updated to version 2.0.3 with previous version 2.0.2 dated 2022-05-24

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH key parsers. Supports RSA, DSA and EC curves P-256, P-384, P-521, and curve25519. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [aut, cre] , Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between openssl versions 2.0.2 dated 2022-05-24 and 2.0.3 dated 2022-09-14

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New package sleeperapi with initial version 1.0.4
Package: sleeperapi
Title: Wrapper Functions Around 'Sleeper' (Fantasy Sports) API
Version: 1.0.4
Description: For those wishing to interact with the 'Sleeper' (Fantasy Sports) API (<https://api.sleeper.app/>) without looking too much into its documentation (found at <https://docs.sleeper.app/>), this package offers wrapper functions around the available API calls to make it easier.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, jsonlite, plyr
Suggests: testthat (>= 2.0.0)
NeedsCompilation: no
Packaged: 2022-09-14 02:30:11 UTC; nickbultman
Author: Nick Bultman [aut, cre, cph]
Maintainer: Nick Bultman <njbultman74@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-14 06:50:02 UTC

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New package rrnni with initial version 0.1.0
Package: rrnni
Title: Manipulate with RNNI Tree Space
Version: 0.1.0
Date: 2022-08-31
Description: Calculate RNNI distance between and manipulate with ranked trees. RNNI stands for Ranked Nearest Neighbour Interchange and is an extension of the classical NNI space (space of trees created by the NNI moves) to ranked trees, where internal nodes are ordered according to their heights (usually assumed to be times). The RNNI distance takes the tree topology into account, as standard NNI does, but also penalizes changes in the order of internal nodes, i.e. changes in the order of times of evolutionary events. For more information about the RNNI space see: Gavryushkin et al. (2018) <doi:10.1007/s00285-017-1167-9>, Collienne & Gavryushkin (2021) <doi:10.1007/s00285-021-01567-5>, Collienne et al. (2021) <doi:10.1007/s00285-021-01685-0>, and Collienne (2021) <http://hdl.handle.net/10523/12606>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: methods, ape
Suggests: testthat (>= 3.0.0)
URL: https://biods.github.io/rrnni/, https://github.com/biods/rrnni
BugReports: https://github.com/biods/rrnni/issues
NeedsCompilation: yes
Packaged: 2022-09-13 22:25:37 UTC; jmoravec
Author: Jiri C. Moravec [aut, cre], Lena Collienne [aut]
Maintainer: Jiri C. Moravec <jiri.c.moravec@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-14 06:50:05 UTC

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New package receptiviti with initial version 0.1.0
Package: receptiviti
Title: Text Analysis Through the 'Receptiviti' API
Version: 0.1.0
Date: 2022-09-08
Description: Send text to the <https://www.receptiviti.com> API to be scored by all available frameworks.
License: MIT + file LICENSE
Imports: curl, jsonlite, digest, arrow, dplyr, future.apply, progressr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
URL: https://receptiviti.github.io/receptiviti-r/, https://github.com/Receptiviti/receptiviti-r
BugReports: https://github.com/Receptiviti/receptiviti-r/issues
NeedsCompilation: no
Packaged: 2022-09-14 00:06:58 UTC; Admin
Author: Receptiviti Inc. [fnd, cph], Kent English [cre], Micah Iserman [aut, ctr]
Maintainer: Kent English <kenglish@receptiviti.com>
Repository: CRAN
Date/Publication: 2022-09-14 06:50:08 UTC

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New package PerfMeas with initial version 1.2.5
Package: PerfMeas
Title: Performance Measures for Ranking and Classification Tasks
Version: 1.2.5
Date: 2022-09-09
Author: Giorgio Valentini [aut, cre]
Maintainer: Giorgio Valentini <valentini@di.unimi.it>
Description: Implementation of different performance measures for classification and ranking tasks including Area Under the Receiving Characteristic Curve (AUROC) and Area Under the Precision Recall Curve (AUPRC), precision at a given recall, F-score for single and multiple classes.
License: GPL (>= 2)
LazyLoad: yes
Depends: limma, graph, RBGL
NeedsCompilation: yes
Packaged: 2022-09-13 17:41:31 UTC; valenti
Repository: CRAN
Date/Publication: 2022-09-14 06:10:02 UTC

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New package ingres with initial version 1.0.0
Package: ingres
Title: Infer Gene Probabilistic Boolean Networks from Single-Cell Data
Version: 1.0.0
Description: Given a gene regulatory boolean network and a RNA-seq dataset, this package computes protein activity normalised enrichment scores using 'VIPER', and then produces a probabilistic network using the scores as probabilities for fixed node activation or deactivation, in addition to the original Boolean functions. For more information, refer to the preprint: Victori and Buffa (2022) <doi:10.1101/2022.09.04.506528>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: methods, viper, tidygraph, AnnotationDbi, org.Hs.eg.db, dplyr, tidyr, tidyselect, scales, ggplot2, ggraph, stringr, ggpubr, tibble, magrittr, igraph, purrr, readr, usethis, rlang, Seurat
Suggests: testthat (>= 3.0.0), shiny, plotly (>= 4.10.0), aracne.networks, BoolNet, covr, withr, knitr, rmarkdown
URL: https://github.com/CBigOxf/ingres, https://cbigoxf.github.io/ingres/
BugReports: https://github.com/CBigOxf/ingres/issues
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2022-09-13 19:46:16 UTC; pedro
Author: Pedro Victori [aut, cre] , Francesca M. Buffa [aut]
Maintainer: Pedro Victori <pedroluisvictori@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-14 06:30:02 UTC

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Package EnrichIntersect updated to version 0.3 with previous version 0.2 dated 2022-08-10

Title: Enrichment Analysis and Intersecting Sankey Diagram
Description: A flexible tool for enrichment analysis based on user-defined sets. It allows users to perform over-representation analysis of the custom sets among any specified ranked feature list, hence making enrichment analysis applicable to various types of data from different scientific fields. 'EnrichIntersect' also enables an interactive means to visualize identified associations based on, for example, the mix-lasso model (Zhao et al. (2022) <doi:10.1016/j.isci.2022.104767>) or similar methods.
Author: Zhi Zhao [aut, cre], Manuela Zucknick [aut], Tero Aittokallio [ctb]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>

Diff between EnrichIntersect versions 0.2 dated 2022-08-10 and 0.3 dated 2022-09-14

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Package ADAPTS updated to version 1.0.22 with previous version 1.0.21 dated 2021-10-05

Title: Automated Deconvolution Augmentation of Profiles for Tissue Specific Cells
Description: Tools to construct (or add to) cell-type signature matrices using flow sorted or single cell samples and deconvolve bulk gene expression data. Useful for assessing the quality of single cell RNAseq experiments, estimating the accuracy of signature matrices, and determining cell-type spillover. Please cite: Danziger SA et al. (2019) ADAPTS: Automated Deconvolution Augmentation of Profiles for Tissue Specific cells <doi:10.1371/journal.pone.0224693>.
Author: Samuel A Danziger
Maintainer: Samuel A Danziger <sam.danziger@gmail.com>

Diff between ADAPTS versions 1.0.21 dated 2021-10-05 and 1.0.22 dated 2022-09-14

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New package vglmer with initial version 1.0.0
Package: vglmer
Title: Variational Inference for Hierarchical Generalized Linear Models
Version: 1.0.0
Encoding: UTF-8
License: GPL (>= 2)
Description: Estimates hierarchical models using mean-field variational Bayes. At present, it can estimate logistic, linear, and negative binomial models. It can accommodate models with an arbitrary number of random effects and requires no integration to estimate. It also provides the ability to improve the quality of the approximation using marginal augmentation. Goplerud (2022) <doi:10.1214/21-BA1266> provides details on the variational algorithms.
Imports: Rcpp (>= 1.0.1), lme4, CholWishart, mvtnorm, Matrix, stats, graphics, methods, lmtest, splines, mgcv
Depends: R (>= 3.0.2)
Suggests: SuperLearner, MASS, tictoc, testthat
LinkingTo: Rcpp, RcppEigen (>= 0.3.3.4.0)
NeedsCompilation: yes
Packaged: 2022-09-13 13:42:24 UTC; MHG23
Author: Max Goplerud [aut, cre]
Maintainer: Max Goplerud <mgoplerud@pitt.edu>
Repository: CRAN
Date/Publication: 2022-09-14 06:00:02 UTC

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New package Rduinoiot with initial version 0.1.0
Package: Rduinoiot
Title: 'Arduino Iot Cloud API' R Client
Version: 0.1.0
Maintainer: Flavio Leccese <flavioleccese92@gmail.com>
Description: Easily interact with the 'Arduino Iot Cloud API' <https://www.arduino.cc/reference/en/iot/api/>, managing devices, things, properties and data.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://flavioleccese92.github.io/Rduinoiot/
BugReports: https://github.com/FlavioLeccese92/Rduinoiot/issues/
Language: en-US
Imports: httr, jsonlite, tibble, cli, purrr, methods
Suggests: knitr, rmarkdown, dplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-09-13 14:38:14 UTC; fleccese
Author: Flavio Leccese [aut, cre]
Repository: CRAN
Date/Publication: 2022-09-14 06:00:11 UTC

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New package lmap with initial version 0.1.1
Package: lmap
Title: Logistic Mapping
Version: 0.1.1
Date: 2022-09-09
Maintainer: Mark de Rooij <rooijm@fsw.leidenuniv.nl>
Description: Set of tools for mapping of categorical response variables based on principal component analysis (pca) and multidimensional unfolding (mdu).
Depends: R (>= 3.5.0), ggplot2, ggrepel, ggforce, tidyverse, dplyr
Imports: nnet, stats
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
Author: Mark de Rooij [aut, cre, cph], Frank Busing [aut], Juan Claramunt Gonzalez [ctb]
NeedsCompilation: yes
Packaged: 2022-09-09 11:55:36 UTC; prueba
Repository: CRAN
Date/Publication: 2022-09-14 05:30:02 UTC

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New package kimfilter with initial version 1.0.0
Package: kimfilter
Title: Kim Filter
Version: 1.0.0
Date: 2022-09-01
Description: 'Rcpp' implementation of the multivariate Kim filter, which combines the Kalman and Hamilton filters for state probability inference. The filter is designed for state space models and can handle missing values and exogenous data in the observation and state equations. Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" <doi:10.7551/mitpress/6444.001.0001><http://econ.korea.ac.kr/~cjkim/>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.9)
LinkingTo: Rcpp, RcppArmadillo
Suggests: data.table (>= 1.14.2), maxLik (>= 1.5-2), ggplot2 (>= 3.3.6), gridExtra (>= 2.3), knitr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-09-13 16:15:54 UTC; alex.hubbard
Author: Alex Hubbard [aut, cre]
Maintainer: Alex Hubbard <hubbard.alex@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-09-14 06:00:05 UTC

More information about kimfilter at CRAN
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New package epimdr2 with initial version 1.0-7
Package: epimdr2
Title: Functions and Data for "Epidemics: Models and Data in R (2nd Edition)"
Version: 1.0-7
Date: 2022-09-10
Author: Ottar N. Bjornstad [aut, cre]
Maintainer: Ottar N. Bjornstad <onb1@psu.edu>
Description: Functions, data sets and shiny apps for "Epidemics: Models and Data in R (2nd edition)" by Ottar N. Bjornstad (2022, ISBN: 978-3-031-12055-8) <https://link.springer.com/book/10.1007/978-3-319-97487-3>. The package contains functions to study the Susceptible-Exposed-Infected-Removed SEIR model, spatial and age-structured Susceptible-Infected-Removed SIR models; time-series SIR and chain-binomial stochastic models; catalytic disease models; coupled map lattice models of spatial transmission and network models for social spread of infection. The package is also an advanced quantitative companion to the 'Coursera' Epidemics Massive Online Open Course <https://www.coursera.org/learn/epidemics>.
Depends: R (>= 4.0.0), shiny, deSolve, plotly
Imports: polspline, phaseR, ggplot2
Suggests: ade4, bbmle, fields, forecast, imputeTS, lme4, ncf, nleqslv, nlme, nlts, plotrix, pomp, rootSolve, Rwave, rworldmap, statnet, scatterplot3d
License: GPL-3
URL: <https://github.com/objornstad/epimdr2>, <https://link.springer.com/book/10.1007/978-3-319-97487-3>, <https://ento.psu.edu/directory/onb1>
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-09-13 13:04:27 UTC; onb1
Repository: CRAN
Date/Publication: 2022-09-14 06:00:08 UTC

More information about epimdr2 at CRAN
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New package elections.dtree with initial version 1.0.0
Package: elections.dtree
Title: Ranked Voting Election Audits with Dirichlet-Trees
Description: Perform ballot-polling Bayesian audits for ranked voting elections using Dirichlet-tree prior distributions. Everest et al. (2022) <arXiv:2206.14605>, <arXiv:2209.03881>.
Version: 1.0.0
Depends: R (>= 4.0.0)
SystemRequirements: C++17
License: GPL-3
LinkingTo: Rcpp, RcppThread, testthat
Imports: Rcpp, methods, Rdpack, R6, parallel
Suggests: covr, testthat (>= 3.0.0), xml2
Encoding: UTF-8
URL: https://fleverest.github.io/elections.dtree/, https://github.com/fleverest/elections.dtree/
BugReports: https://github.com/fleverest/elections.dtree/issues/
NeedsCompilation: yes
Packaged: 2022-09-13 12:00:01 UTC; floyd
Author: Floyd Everest [aut, cre, cph] , Damjan Vukcevic [aut]
Maintainer: Floyd Everest <me@floydeverest.com>
Repository: CRAN
Date/Publication: 2022-09-14 05:30:05 UTC

More information about elections.dtree at CRAN
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New package cropcircles with initial version 0.1.0
Package: cropcircles
Title: Crops an Image to a Circle
Version: 0.1.0
URL: https://github.com/doehm/cropcircles
BugReports: https://github.com/doehm/cropcircles/issues
Description: Images are cropped to a circle with a transparent background. The function takes a vector of images, either local or from a link, and circle crops the image. Paths to the cropped image are returned for plotting with 'ggplot2'.
Depends: R (>= 3.5.0)
Imports: glue, magick, purrr
License: CC0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-09-13 12:48:22 UTC; Dan
Author: Daniel Oehm [aut, cre]
Maintainer: Daniel Oehm <danieloehm@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-14 05:30:10 UTC

More information about cropcircles at CRAN
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