Fri, 09 Apr 2021

Package unheadr updated to version 0.3.2 with previous version 0.3.1 dated 2021-02-06

Title: Handle Data with Messy Header Rows and Broken Values
Description: Verb-like functions to work with messy data, often derived from spreadsheets or parsed PDF tables. Includes functions for unwrapping values broken up across rows, relocating embedded grouping values, and to annotate meaningful formatting in spreadsheet files.
Author: Luis D. Verde Arregoitia [aut, cre] (<https://orcid.org/0000-0001-9520-6543>)
Maintainer: Luis D. Verde Arregoitia <luis@liomys.mx>

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Package RBF updated to version 2.1.0 with previous version 2.0.1 dated 2020-07-30

Title: Robust Backfitting
Description: A robust backfitting algorithm for additive models based on (robust) local polynomial kernel smoothers. It includes both bounded and re-descending (kernel) M-estimators, and it computes predictions for points outside the training set if desired. See Boente, Martinez and Salibian-Barrera (2017) <doi:10.1080/10485252.2017.1369077> and Martinez and Salibian-Barrera (2021) <doi:10.21105/joss.02992> for details.
Author: Matias Salibian-Barrera [aut, cre], Alejandra Martinez [aut]
Maintainer: Matias Salibian-Barrera <matias@stat.ubc.ca>

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Package hawkesbow updated to version 1.0.2 with previous version 1.0.1 dated 2021-04-07

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] (<https://orcid.org/0000-0002-9095-2878>)
Maintainer: Felix Cheysson <felix@cheysson.fr>

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Package ClimInd updated to version 0.1-3 with previous version 0.1-2 dated 2019-07-18

Title: Climate Indices
Description: Computes 138 standard climate indices at monthly, seasonal and annual resolution. These indices were selected, based on their direct and significant impacts on target sectors, after a thorough review of the literature in the field of extreme weather events and natural hazards. Overall, the selected indices characterize different aspects of the frequency, intensity and duration of extreme events, and are derived from a broad set of climatic variables, including surface air temperature, precipitation, relative humidity, wind speed, cloudiness, solar radiation, and snow cover. The 138 indices have been classified as follow: Temperature based indices (42), Precipitation based indices (22), Bioclimatic indices (21), Wind-based indices (5), Aridity/ continentality indices (10), Snow-based indices (13), Cloud/radiation based indices (6), Drought indices (8), Fire indices (5), Tourism indices (5).
Author: Fergus Reig-Gracia [aut, cre], Sergio M. Vicente-Serrano [aut], Fernando Dominguez-Castro [aut], Joaquin Bedia-Jiménez [ctb]
Maintainer: Fergus Reig-Gracia <fergusrg@gmail.com>

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Package ICD10gm updated to version 1.2.2 with previous version 1.1 dated 2020-04-14

Title: Metadata Processing for the German Modification of the ICD-10 Coding System
Description: Provides convenient access to the German modification of the International Classification of Diagnoses, 10th revision (ICD-10-GM). It provides functionality to aid in the identification, specification and historisation of ICD-10 codes. Its intended use is the analysis of routinely collected data in the context of epidemiology, medical research and health services research. The underlying metadata are released by the German Institute for Medical Documentation and Information <https://www.dimdi.de>, and are redistributed in accordance with their license.
Author: Ewan Donnachie [aut, cre] (<https://orcid.org/0000-0002-0668-0049>)
Maintainer: Ewan Donnachie <ewan@donnachie.net>

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Package DGEobj updated to version 1.0.3 with previous version 1.0.1 dated 2020-12-07

Title: Differential Gene Expression (DGE) Analysis Results Data Object
Description: Provides a flexible container to manage and annotate Differential Gene Expression (DGE) analysis results (Smythe et. al (2015) <doi:10.1093/nar/gkv007>). The DGEobj has data slots for row (gene), col (samples), assays (matrix n-rows by m-samples dimensions) and metadata (not keyed to row, col, or assays). A set of accessory functions to deposit, query and retrieve subsets of a data workflow has been provided. Attributes are used to capture metadata such as species and gene model, including reproducibility information such that a 3rd party can access a DGEobj history to see how each data object was created or modified. Since the DGEobj is customizable and extensible it is not limited to RNA-seq analysis types of workflows -- it can accommodate nearly any data analysis workflow that starts from a matrix of assays (rows) by samples (columns).
Author: John Thompson [aut], Connie Brett [aut, cre], Isaac Neuhaus [aut], Ryan Thompson [aut]
Maintainer: Connie Brett <connie@aggregate-genius.com>

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Package ProAE updated to version 0.1.2 with previous version 0.1.1 dated 2021-02-24

Title: PRO-CTCAE Data Management, Analysis, and Graphical Tools
Description: A collection of tools to facilitate standardized analysis and graphical procedures when using the National Cancer Institute’s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE).
Author: Blake Langlais [aut, cre], Amylou Dueck [aut]
Maintainer: Blake Langlais <langlais.blake@mayo.edu>

Diff between ProAE versions 0.1.1 dated 2021-02-24 and 0.1.2 dated 2021-04-09

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Package sigQC updated to version 0.1.22 with previous version 0.1.21 dated 2018-07-24

Title: Quality Control Metrics for Gene Signatures
Description: Provides gene signature quality control metrics in publication ready plots. Namely, enables the visualization of properties such as expression, variability, correlation, and comparison of methods of standardisation and scoring metrics.
Author: Andrew Dhawan [aut], Alessandro Barberis [aut], Wei-Chen Cheng [aut], Francesca Buffa [aut, cre]
Maintainer: Francesca Buffa <francesca.buffa@oncology.ox.ac.uk>

Diff between sigQC versions 0.1.21 dated 2018-07-24 and 0.1.22 dated 2021-04-09

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Package semEff updated to version 0.5.0 with previous version 0.4.0 dated 2020-10-01

Title: Automatic Calculation of Effects for Piecewise Structural Equation Models
Description: Provides functionality to automatically calculate direct, indirect, and total effects for piecewise structural equation models, comprising lists of fitted models representing structured equations (Lefcheck 2016 <doi:10/f8s8rb>). Confidence intervals are provided via bootstrapping.
Author: Mark Murphy [aut, cre]
Maintainer: Mark Murphy <murphymv@gmail.com>

Diff between semEff versions 0.4.0 dated 2020-10-01 and 0.5.0 dated 2021-04-09

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Package fishualize updated to version 0.2.2 with previous version 0.2.1 dated 2021-03-12

Title: Color Palettes Based on Fish Species
Description: Implementation of color palettes based on fish species.
Author: Nina M. D. Schiettekatte [cre, aut], Simon J. Brandl [aut], Jordan M. Casey [aut]
Maintainer: Nina M. D. Schiettekatte <nina.schiettekatte@gmail.com>

Diff between fishualize versions 0.2.1 dated 2021-03-12 and 0.2.2 dated 2021-04-09

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Package see updated to version 0.6.3 with previous version 0.6.2 dated 2021-02-04

Title: Visualisation Toolbox for 'easystats' and Extra Geoms, Themes and Color Palettes for 'ggplot2'
Description: Provides plotting utilities supporting easystats-packages (<https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for 'ggplot2'. Color scales are based on <https://www.materialui.co/colors>.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut, inv] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>), Brenton M. Wiernik [ctb] (<https://orcid.org/0000-0001-9560-6336>), Jeffrey R. Stevens [ctb] (<https://orcid.org/0000-0003-2375-1360>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package MSbox updated to version 1.3.9 with previous version 1.3.8 dated 2021-02-10

Title: Mass Spectrometry Tools
Description: Common mass spectrometry tools described in John Roboz (2013) <doi:10.1201/b15436>. It allows checking element isotopes, calculating (isotope labelled) exact monoisitopic mass, m/z values and mass accuracy, and inspecting possible contaminant mass peaks, examining possible adducts in electrospray ionization (ESI) and matrix-assisted laser desorption ionization (MALDI) ion sources.
Author: Yonghui Dong
Maintainer: Yonghui Dong <yonghui.dong@gmail.com>

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Package OpenSpecy updated to version 0.9.0 with previous version 0.8.2 dated 2021-03-31

Title: Analyze, Process, Identify, and Share, Raman and (FT)IR Spectra
Description: Raman and (FT)IR spectral analysis tool for plastic particles and other environmental samples. Supported features include reading spectral data files (.asp, .csv, .jdx, .spc, .spa, .0), Savitzky-Golay smoothing of spectral intensities with smooth_intens(), correcting background noise with subtr_bg() in accordance with Zhao et al. (2007) <doi:10.1366/000370207782597003>, and identifying spectra using an onboard reference library (Cowger et al. 2020, <doi:10.1177/0003702820929064>). Analyzed spectra can be shared with the Open Specy community. A Shiny app is available via run_app() or online at <https://wincowger.shinyapps.io/OpenSpecy/>.
Author: Win Cowger [cre, aut] (<https://orcid.org/0000-0001-9226-3104>), Zacharias Steinmetz [aut] (<https://orcid.org/0000-0001-6675-5033>), Andrew Gray [ctb] (<https://orcid.org/0000-0003-2252-7367>), Hannah Hapich [ctb] (<https://orcid.org/0000-0003-0000-6632>), Jennifer Lynch [ctb, dtc] (<https://orcid.org/0000-0003-3572-8782>), Hannah De Frond [ctb, dtc] (<https://orcid.org/0000-0003-1199-0727>), Keenan Munno [ctb, dtc] (<https://orcid.org/0000-0003-2916-5944>), Chelsea Rochman [ctb, dtc] (<https://orcid.org/0000-0002-7624-711X>), Sebastian Primpke [ctb, dtc] (<https://orcid.org/0000-0001-7633-8524>), Orestis Herodotou [ctb, dtc]
Maintainer: Win Cowger <wincowger@gmail.com>

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Package healthyR.data updated to version 1.0.1 with previous version 1.0.0 dated 2020-11-23

Title: Data Only Package to 'healthyR'
Description: Provides data for functions typically used in the 'healthyR' package.
Author: Steven Sanderson [aut, cre], Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

Diff between healthyR.data versions 1.0.0 dated 2020-11-23 and 1.0.1 dated 2021-04-09

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Package exams2sakai updated to version 0.2 with previous version 0.1 dated 2021-03-20

Title: Automatic Generation of Exams in R for 'Sakai'
Description: Automatic Generation of Exams in R for 'Sakai'. Question templates in the form of the 'exams' package (see <http://www.r-exams.org/>) are transformed into XML format required by 'Sakai'.
Author: Fuensanta Arnaldos García [aut], María Victoria Caballero Pintado [aut], Úrsula Faura Martínez [aut], María Teresa Díaz Delfa [aut], Jesús María Méndez Pérez [aut, cre], Lourdes Molera Peris [aut], José Antonio Palazón Ferrando [aut], Juan José Pérez Castejón [aut], Isabel Parra Frutos [aut], Raúl Sánchez Sánchez [aut], Nicolás Andrés Ubero Pascal [aut], Nikolaus Umlauf [ctb], Achim Zeileis [ctb] (<https://orcid.org/0000-0003-0918-3766>)
Maintainer: Jesús María Méndez Pérez <jesus.mendez@ticarum.es>

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Package arkhe updated to version 0.3.0 with previous version 0.2.2 dated 2020-03-23

Title: Representation of Archaeological Data
Description: A collection of classes that represent archaeological data. This package provides a set of S4 classes that represent different special types of matrix (absolute/relative frequency, presence/absence data, co-occurrence matrix, etc.) upon which package developers can build subclasses. It also provides a set of generic methods (mutators and coercion mechanisms) and functions (e.g. summary statistics, predicates). In addition, a few classes of general interest (e.g. that represent stratigraphic relationships) are implemented.
Author: Nicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>)
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package sisireg updated to version 0.9.1 with previous version 0.9.0 dated 2021-04-01

Title: Sign-Simplicity-Regression-Solver
Description: Implementation of the SSR-Algorithm. The Sign-Simplicity-Regression model is a nonparametric statistical model which is based on residual signs and simplicity assumptions on the regression function. Goal is to calculate the most parsimonious regression function satisfying the statistical adequacy requirements. Theory and functions are specified in Metzner (2020, ISBN: 979-8-68239-420-3, "Trendbasierte Prognostik") and Metzner (2021, ISBN: 979-8-59347-027-0, "Adäquates Maschinelles Lernen").
Author: Lars Metzner [aut, cre]
Maintainer: Lars Metzner <lars.metzner@ppi.de>

Diff between sisireg versions 0.9.0 dated 2021-04-01 and 0.9.1 dated 2021-04-09

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Package queuecomputer updated to version 1.1.0 with previous version 1.0.0 dated 2020-10-06

Title: Computationally Efficient Queue Simulation
Description: Implementation of a computationally efficient method for simulating queues with arbitrary arrival and service times. Please see Ebert, Wu, Mengersen & Ruggeri (2020, <doi:10.18637/jss.v095.i05>) for further details.
Author: Anthony Ebert [aut, cre] (<https://orcid.org/0000-0003-3002-6300>), Kerrie Mengersen [ths], Paul Wu [ths], Fabrizio Ruggeri [ths]
Maintainer: Anthony Ebert <anthonyebert+CRAN@gmail.com>

Diff between queuecomputer versions 1.0.0 dated 2020-10-06 and 1.1.0 dated 2021-04-09

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Package spsur updated to version 1.0.1.7 with previous version 1.0.1.6 dated 2020-09-17

Title: Spatial Seemingly Unrelated Regression Models
Description: A collection of functions to test and estimate Seemingly Unrelated Regression (usually called SUR) models, with spatial structure, by maximum likelihood and three-stage least squares. The package estimates the most common spatial specifications, that is, SUR with Spatial Lag of X regressors (called SUR-SLX), SUR with Spatial Lag Model (called SUR-SLM), SUR with Spatial Error Model (called SUR-SEM), SUR with Spatial Durbin Model (called SUR-SDM), SUR with Spatial Durbin Error Model (called SUR-SDEM), SUR with Spatial Autoregressive terms and Spatial Autoregressive Disturbances (called SUR-SARAR), SUR-SARAR with Spatial Lag of X regressors (called SUR-GNM) and SUR with Spatially Independent Model (called SUR-SIM). The methodology of these models can be found in next references Mur, J., Lopez, F., and Herrera, M. (2010) <doi:10.1080/17421772.2010.516443> Lopez, F.A., Mur, J., and Angulo, A. (2014) <doi:10.1007/s00168-014-0624-2>.
Author: Ana Angulo [aut], Fernando A Lopez [aut], Roman Minguez [aut, cre], Jesus Mur [aut]
Maintainer: Roman Minguez <roman.minguez@uclm.es>

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Package performance updated to version 0.7.1 with previous version 0.7.0 dated 2021-02-03

Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut, ctb] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut, ctb] (<https://orcid.org/0000-0003-1995-6531>), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>), Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-2042-7063>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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More information about performance at CRAN
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Package DeCAFS updated to version 3.2.3 with previous version 3.1.5 dated 2020-05-18

Title: Detecting Changes in Autocorrelated and Fluctuating Signals
Description: Detect abrupt changes in time series with local fluctuations as a random walk process and autocorrelated noise as an AR(1) process. See Romano, G., Rigaill, G., Runge, V., Fearnhead, P. (2021) <doi:10.1080/01621459.2021.1909598>.
Author: Gaetano Romano [aut, cre], Guillem Rigaill [aut], Vincent Runge [aut], Paul Fearnhead [aut]
Maintainer: Gaetano Romano <g.romano@lancaster.ac.uk>

Diff between DeCAFS versions 3.1.5 dated 2020-05-18 and 3.2.3 dated 2021-04-09

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More information about DeCAFS at CRAN
Permanent link

New package vivid with initial version 0.1.0
Package: vivid
Title: Variable Importance and Variable Interaction Displays
Version: 0.1.0
Authors@R: c( person(given = "Alan", family = "Inglis", email = "alan.inglis@mu.ie", role = c("aut", "cre")), person(given = "Andrew", family = "Parnell", email = "andrew.parnell@mu.ie", role = "aut"), person(given = "Catherine", family = "Hurley", email = "catherine.hurley@mu.ie", role = "aut"))
Language: en-US
Description: A suite of plots for displaying variable importance and two-way variable interaction jointly. Can also display partial dependence plots laid out in a pairs plot or 'zenplots' style.
License: GPL (>= 2)
Encoding: UTF-8
Imports: condvis2, ggplot2, GGally, RColorBrewer, colorspace, stats, DendSer, ggalt, dplyr, igraph, flashlight, ggnewscale, tidyr
Suggests: intergraph (>= 2.0-2), network (>= 1.12.0), sna (>= 2.3-2), mlr, MASS, tidymodels, e1071, gridExtra, lemon, mlr3, mlr3learners, sp, scales, ranger, vip, knitr, rmarkdown, randomForest, testthat (>= 3.0.0), labeling, zenplots, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-08 16:31:24 UTC; alaninglis
Author: Alan Inglis [aut, cre], Andrew Parnell [aut], Catherine Hurley [aut]
Maintainer: Alan Inglis <alan.inglis@mu.ie>
Repository: CRAN
Date/Publication: 2021-04-09 09:10:02 UTC

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New package TensorClustering with initial version 1.0.1
Package: TensorClustering
Title: Model-Based Tensor Clustering
Version: 1.0.1
Authors@R: c(person(given = "Kai", family = "Deng", role = c("aut","cre"), email = "kd18h@stat.fsu.edu"), person(given = "Yuqing", family = "Pan", role = "aut", email = "yuqing.pan@stat.fsu.edu"), person(given = "Xin", family = "Zhang", role = "aut", email = "henry@stat.fsu.edu"), person(given = "Qing", family = "Mai", role = "aut", email = "mai@stat.fsu.edu"))
Description: Performs model-based tensor clustering methods including Tensor Gaussian Mixture Model (TGMM) and Tensor Envelope Mixture Model (TEMM) by Deng and Zhang (2021, tentatively accepted by Biometrics), Doubly-Enhanced EM (DEEM) algorithm by Mai, Zhang, Pan and Deng (2021) <arXiv:2012.10032>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
Imports: MASS, tensr, rTensor, TRES, abind, combinat, pracma, stats, mvtnorm, Rcpp
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-04-08 16:35:04 UTC; azuryee
Author: Kai Deng [aut, cre], Yuqing Pan [aut], Xin Zhang [aut], Qing Mai [aut]
Maintainer: Kai Deng <kd18h@stat.fsu.edu>
Repository: CRAN
Date/Publication: 2021-04-09 09:10:05 UTC

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New package nlmixr with initial version 2.0.3
Package: nlmixr
Title: Nonlinear Mixed Effects Models in Population PK/PD
Depends: R (>= 4.0)
Imports: Rcpp (>= 0.12.3), brew, parallel, lbfgsb3c, dparser, methods, ggplot2, memoise, rex, minqa, Matrix, n1qn1 (>= 6.0.1-10), fastGHQuad, RxODE(>= 1.0.6), nlme, magrittr, sys, backports, symengine
Suggests: Deriv, Rvmmin, broom.mixed, crayon, knitr, data.table, devtools, digest, dotwhisker, dplyr, expm, flextable, ggtext, patchwork, gridExtra, huxtable, lattice, lbfgs, lotri, madness, matrixcalc, nloptr, officer, pkgdown, reshape2, rmarkdown, testthat, tidyr, ucminf, vpc (>= 1.0.0), xgxr, yaml, xpose, generics, tibble, checkmate, cli, qs, covr, forecast, latticeExtra
Version: 2.0.3
Authors@R: c(person("Matthew","Fidler", role = "aut", email = "matthew.fidler@gmail.com", comment=c(ORCID="0000-0001-8538-6691")), person("Yuan", "Xiong", role = "aut", email = "yuan.xiong@gmail.com"), person("Rik", "Schoemaker", role = "aut", email = "rik.schoemaker@occams.com", comment=c(ORCID="0000-0002-7538-3005")), person("Justin", "Wilkins", role = "aut", email = "justin.wilkins@occams.com", comment=c(ORCID="0000-0002-7099-9396")), person("Wenping", "Wang", role = c("aut", "cre"), email = "wwang8198@gmail.com"), person("Robert","Leary", role = "ctb"), person("Mason","McComb", role = "aut", email = "mason.c.mccomb@gmail.com", comment=c(ORCID="0000-0001-9871-8616")), person("Mirjam","Trame", role = "ctb"), person("Teun","Post", role = "ctb", email = "t.post@lapp.nl"), person("Richard", "Hooijmaijers", email = "richardhooijmaijers@gmail.com", role = "aut"), person("Hadley","Wickham", role = "ctb"), person("Dirk","Eddelbuettel", role = "cph", email = "edd@debian.org"), person("Johannes", "Pfeifer",role="ctb"), person("Robert B.", "Schnabel",role="ctb"), person("Elizabeth", "Eskow", role="ctb"), person("Emmanuelle", "Comets", role="ctb", email="emmanuelle.comets@inserm.fr"), person("Audrey", "Lavenu", role="ctb"), person("Marc", "Lavielle", role="ctb"), person("David","Ardia",role = "cph"), person("Daniel C.", "Dillon", role="ctb"), person("Katharine","Mullen",role = "cph"), person("Ben", "Goodrich", role = "ctb") )
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'RxODE' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
License: GPL (>= 2)
NeedsCompilation: yes
LinkingTo: dparser(>= 0.1.8), RxODE(>= 1.0.0-0), RcppEigen (>= 0.3.3.3.0), lbfgsb3c, Rcpp, BH, StanHeaders(>= 2.18.0), RcppArmadillo (>= 0.5.600.2.0)
URL: https://github.com/nlmixrdevelopment/nlmixr
LazyData: true
Biarch: true
Packaged: 2021-04-08 19:14:03 UTC; annie
Maintainer: Wenping Wang <wwang8198@gmail.com>
Encoding: UTF-8
Author: Matthew Fidler [aut] (<https://orcid.org/0000-0001-8538-6691>), Yuan Xiong [aut], Rik Schoemaker [aut] (<https://orcid.org/0000-0002-7538-3005>), Justin Wilkins [aut] (<https://orcid.org/0000-0002-7099-9396>), Wenping Wang [aut, cre], Robert Leary [ctb], Mason McComb [aut] (<https://orcid.org/0000-0001-9871-8616>), Mirjam Trame [ctb], Teun Post [ctb], Richard Hooijmaijers [aut], Hadley Wickham [ctb], Dirk Eddelbuettel [cph], Johannes Pfeifer [ctb], Robert B. Schnabel [ctb], Elizabeth Eskow [ctb], Emmanuelle Comets [ctb], Audrey Lavenu [ctb], Marc Lavielle [ctb], David Ardia [cph], Daniel C. Dillon [ctb], Katharine Mullen [cph], Ben Goodrich [ctb]
Repository: CRAN
Date/Publication: 2021-04-09 09:50:04 UTC

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Package IDF updated to version 2.1.0 with previous version 2.0.0 dated 2021-01-15

Title: Estimation and Plotting of IDF Curves
Description: Intensity-duration-frequency (IDF) curves are a widely used analysis-tool in hydrology to assess extreme values of precipitation [e.g. Mailhot et al., 2007, <doi:10.1016/j.jhydrol.2007.09.019>]. The package 'IDF' provides functions to estimate IDF parameters for given precipitation time series on the basis of a duration-dependent generalized extreme value distribution [Koutsoyiannis et al., 1998, <doi:10.1016/S0022-1694(98)00097-3>].
Author: Jana Ulrich [aut, cre], Laura Mack [ctb], Oscar E. Jurado [ctb], Felix S. Fauer [ctb], Christoph Ritschel [aut], Carola Detring [ctb], Sarah Joedicke [ctb]
Maintainer: Jana Ulrich <jana.ulrich@met.fu-berlin.de>

Diff between IDF versions 2.0.0 dated 2021-01-15 and 2.1.0 dated 2021-04-09

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 R/d-gev.R                             |   78 ++++++--
 R/gevdfit.R                           |  307 ++++++++++++++++++++++++----------
 README.md                             |  123 ++++++++++++-
 inst                                  |only
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 man/pgev.d.Rd                         |    6 
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 23 files changed, 519 insertions(+), 166 deletions(-)

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Package Compind updated to version 2.2 with previous version 2.1 dated 2019-03-12

Title: Composite Indicators Functions
Description: Contains functions to enhance approaches to the Composite Indicators methods, focusing, in particular, on the normalisation and weighting-aggregation steps.
Author: Francesco Vidoli, Elisa Fusco
Maintainer: Francesco Vidoli <fvidoli@gmail.com>

Diff between Compind versions 2.1 dated 2019-03-12 and 2.2 dated 2021-04-09

 Compind-2.1/Compind/R/bandwidth_CI_bad.R          |only
 Compind-2.1/Compind/R/ci_bod_constr_mpi.R         |only
 Compind-2.1/Compind/R/ci_rbod_constr_Q.R          |only
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 Compind-2.2/Compind/MD5                           |   28 ++----
 Compind-2.2/Compind/NEWS                          |   10 +-
 Compind-2.2/Compind/R/bandwidth_CI.R              |    9 -
 Compind-2.2/Compind/R/ci_ampi.R                   |  102 +++++++---------------
 Compind-2.2/Compind/build/vignette.rds            |binary
 Compind-2.2/Compind/inst/doc/Compind_vignette.pdf |binary
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 Compind-2.2/Compind/man/ci_rbod_constr_bad_Q.Rd   |    2 
 18 files changed, 78 insertions(+), 113 deletions(-)

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New package aRchi with initial version 1.0.3
Package: aRchi
Title: Quantitative Structural Model ('QSM') Treatment for Tree Architecture
Version: 1.0.3
Author: Olivier Martin
Maintainer: Olivier Martin <oli.martin@ntymail.com>
Description: Provides a set of tools to manipulate, visualize and compute metrics from quantitative structural model of trees (i.e the so-called 'QSM') . It can be used in various context of forest ecology (i.e biomass estimation) and tree architecture (i.e architectural metrics), see Martin-Ducup et al. (2020) <doi:10.1111/1365-2435.13678>. The package is based on a new S4 class called 'aRchi'.
License: CeCILL
Encoding: UTF-8
URL: https://github.com/umr-amap/aRchi
Imports: data.table, dplyr, plyr, nat, rgl, methods, lidR, FNN, DiceKriging, circular, pkgcond, stringr, utils, stats, progress, gtools
Collate: 'nullOrnumeric.R' 'nullOrlist.R' 'nullOrLASOrDatatable.R' 'nullOrDatatable.R' 'aRchiClass.R' 'BranchAngle.R' 'Compute_A0.R' 'Compute_Mf.R' 'DAI.R' 'ForkRate.R' 'LeonardoRatio.R' 'Make_Node.R' 'Make_Path.R' 'PathFraction.R' 'SelectinQSM_3d.R' 'TreeBiomass.R' 'Truncate_QSM.R' 'WBEparameters.R' 'WoodSurface.R' 'aRchi.R' 'add_pointcloud.R' 'angle3d.R' 'build_aRchi.R' 'clean_QSM.R' 'get_QSM.R' 'get_nodes.R' 'get_operations.R' 'get_paths.R' 'get_pointcloud.R' 'plot.R' 'read_QSM.R' 'read_aRchi.R' 'write_aRchi.R'
NeedsCompilation: no
Packaged: 2021-04-08 17:17:05 UTC; omartin
Repository: CRAN
Date/Publication: 2021-04-09 09:20:02 UTC

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Package worldmet updated to version 0.9.4 with previous version 0.9.3 dated 2021-03-29

Title: Import Surface Meteorological Data from NOAA Integrated Surface Database (ISD)
Description: Functions to import data from more than 30,000 surface meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Integrated Surface Database (ISD, see <https://www.ncdc.noaa.gov/isd>).
Author: David Carslaw [aut, cre]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

Diff between worldmet versions 0.9.3 dated 2021-03-29 and 0.9.4 dated 2021-04-09

 worldmet-0.9.3/worldmet/R/sysdata.rda     |only
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 worldmet-0.9.4/worldmet/DESCRIPTION       |   14 ++-
 worldmet-0.9.4/worldmet/MD5               |   20 ++---
 worldmet-0.9.4/worldmet/NAMESPACE         |    3 
 worldmet-0.9.4/worldmet/R/exportADMS.R    |   50 ++++++++----
 worldmet-0.9.4/worldmet/R/getMeta.R       |    7 -
 worldmet-0.9.4/worldmet/R/metNOAA.R       |   75 +++++++++---------
 worldmet-0.9.4/worldmet/R/zzz.R           |    2 
 worldmet-0.9.4/worldmet/README.md         |  119 +++++++++++++++++++++---------
 worldmet-0.9.4/worldmet/man/figures       |only
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 12 files changed, 187 insertions(+), 117 deletions(-)

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New package TidyMultiqc with initial version 0.1.0
Package: TidyMultiqc
Title: Converts 'MultiQC' Reports into Tidy Data Frames
Version: 0.1.0
Author: Michael Milton
Maintainer: Michael Milton <michael.r.milton@gmail.com>
Description: Provides the means to convert 'multiqc_data.json' files, produced by the wonderful 'MultiQC' tool, into tidy data frames for downstream analysis in R. This analysis might involve cohort analysis, quality control visualisation, change-point detection, statistical process control, clustering, or any other type of quality analysis.
License: GPL (>= 3)
Encoding: UTF-8
Imports: assertthat, dplyr, HistDat (>= 0.2.0), jsonlite, magrittr, purrr, rlang, stringr, tibble
Suggests: tidyr, testthat (>= 3.0.0), knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-08 16:10:02 UTC; michael
Repository: CRAN
Date/Publication: 2021-04-09 09:00:02 UTC

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New package SurvHiDim with initial version 0.1.0
Title: High Dimensional Survival Data Analysis
Package: SurvHiDim
Version: 0.1.0
Date: 2021-04-07
Description: High dimensional time to events data analysis with variable selection technique. Currently support LASSO, clustering and Bonferroni's correction.
RdMacros: Rdpack
LazyDataCompression: xz
ByteCompile: Yes
Authors@R: c(person(("Atanu"), "Bhattacharjee", email="atanustat@gmail.com", role=c("aut", "cre","ctb")), person(("Akash"), "Pawar", role=c("aut","ctb")))
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: survival, utils, Rdpack (>= 0.7), readr, tidyverse, glmnet, factoextra, igraph, useful
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
NeedsCompilation: no
Packaged: 2021-04-08 09:01:43 UTC; Dell
Author: Atanu Bhattacharjee [aut, cre, ctb], Akash Pawar [aut, ctb]
Repository: CRAN
Date/Publication: 2021-04-09 08:40:02 UTC

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New package IRCcheck with initial version 1.0.0
Package: IRCcheck
Title: Irrepresentable Condition Check
Version: 1.0.0
Date: 2021-04-01
Authors@R: person(given = "Donald", family = "Williams", role = c("aut", "cre"), email = "drwwilliams@ucdavis.edu")
Description: Check the irrepresentable condition (IRC) in both L1-regularized regression <doi:10.1109/TIT.2006.883611> and Gaussian graphical models. The IRC requires that the important and unimportant variables are not correlated, at least not all that much, and it is necessary for consistent model selection. Exploring the IRC as a function of the number of variables, assumed sparsity, and effect size can provide valuable insights into the model selection properties of L1-regularization.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: glmnet, MASS, Rdpack, GGMncv, corpcor, parallel
RdMacros: Rdpack,
NeedsCompilation: no
Packaged: 2021-04-08 15:24:17 UTC; Donny
Author: Donald Williams [aut, cre]
Maintainer: Donald Williams <drwwilliams@ucdavis.edu>
Repository: CRAN
Date/Publication: 2021-04-09 09:00:05 UTC

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New package eat with initial version 0.1.0
Package: eat
Title: Efficiency Analysis Trees
Version: 0.1.0
Authors@R: c( person(given = "Miriam", family = "Esteve", role = c("cre", "aut"), email = "miriam.estevec@umh.es", comment = c(ORCID = "0000-0002-5908-0581")), person(given = "Víctor", family = "España", role = c("aut")), person(given = "Juan", family = "Aparicio", role = c("aut"), comment = c(ORCID = "0000-0002-0867-0004")), person(given = "Xavier", family = "Barber", role = c("aut"), comment = c(ORCID = "0000-0003-3079-5855")) )
Description: Functions are provided to determine production frontiers and technical efficiency measures through non-parametric techniques based upon regression trees. The package includes code for estimating radial input, output, directional and additive measures, plotting graphical representations of the scores and the production frontiers by means of trees, and determining rankings of importance of input variables in the analysis. Additionally, an adaptation of Random Forest by a set of individual Efficiency Analysis Trees for estimating technical efficiency is also included. More details in: <doi:10.1016/j.eswa.2020.113783>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr, conflicted, stats, knitr, ggplot2, ggparty, partykit, ggrepel, Rdpack, lpSolveAPI, utils, reshape2
Suggests: rmarkdown, testthat, kableExtra, usethis, devtools
RdMacros: Rdpack
VignetteBuilder: knitr
Depends: R (>= 2.10)
URL: https://efficiencytools.wordpress.com/
BugReports: https://github.com/MiriamEsteve/EAT/issues
NeedsCompilation: no
Packaged: 2021-04-08 10:52:59 UTC; victo
Author: Miriam Esteve [cre, aut] (<https://orcid.org/0000-0002-5908-0581>), Víctor España [aut], Juan Aparicio [aut] (<https://orcid.org/0000-0002-0867-0004>), Xavier Barber [aut] (<https://orcid.org/0000-0003-3079-5855>)
Maintainer: Miriam Esteve <miriam.estevec@umh.es>
Repository: CRAN
Date/Publication: 2021-04-09 08:50:02 UTC

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Package cglasso updated to version 2.0.4 with previous version 2.0.3 dated 2021-04-06

Title: Conditional Graphical LASSO for Gaussian Graphical Models with Censored and Missing Values
Description: Conditional graphical lasso estimator is an extension of the graphical lasso proposed to estimate the conditional dependence structure of a set of p response variables given q predictors. This package provides suitable extensions developed to study datasets with censored and/or missing values. Standard conditional graphical lasso is available as a special case. Furthermore, the package provides an integrated set of core routines for visualization, analysis, and simulation of datasets with censored and/or missing values drawn from a Gaussian graphical model. Details about the implemented models can be found in Augugliaro et al. (2020b) <doi: 10.1007/s11222-020-09945-7>, Augugliaro et al. (2020a) <doi: 10.1093/biostatistics/kxy043>, Yin et al. (2001) <doi: 10.1214/11-AOAS494> and Stadler et al. (2012) <doi: 10.1007/s11222-010-9219-7>.
Author: Luigi Augugliaro [aut, cre] (<https://orcid.org/0000-0002-4603-7541>), Gianluca Sottile [aut] (<https://orcid.org/0000-0001-9347-7251>), Ernst C. Wit [aut] (<https://orcid.org/0000-0002-3671-9610>), Veronica Vinciotti [aut] (<https://orcid.org/0000-0002-2625-7977>)
Maintainer: Luigi Augugliaro <luigi.augugliaro@unipa.it>

Diff between cglasso versions 2.0.3 dated 2021-04-06 and 2.0.4 dated 2021-04-09

 ChangeLog              |    9 +++++++++
 DESCRIPTION            |    8 ++++----
 MD5                    |   10 +++++-----
 R/cglasso.R            |   14 ++++++++++----
 build/partial.rdb      |binary
 man/cglasso-package.Rd |    4 ++--
 6 files changed, 30 insertions(+), 15 deletions(-)

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New package bmggum with initial version 0.1.0
Package: bmggum
Title: Bayesian Multidimensional Generalized Graded Unfolding Model
Version: 0.1.0
Date: 2021-4-8
Authors@R: c(person(given = "Naidan", family = "Tu", role = c("aut", "cre"), email = "naidantu@usf.edu"), person(given = "Bo", family = "Zhang", role = c("aut"), email = "bozhang3065@gmail.com"))
Description: Full Bayesian estimation of Multidimensional Generalized Graded Unfolding Model (MGGUM) using 'rstan' (See Stan Development Team (2020) <https://mc-stan.org/>). Functions are provided for estimation, result extraction, model fit statistics, and plottings.
License: GPL (>= 3)
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.1.1), edstan, ggplot2, GGUM, loo, stats
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/Naidantu/bmggum
BugReports: https://github.com/Naidantu/bmggum/issues
NeedsCompilation: yes
Packaged: 2021-04-08 14:16:41 UTC; NaidanTu
Author: Naidan Tu [aut, cre], Bo Zhang [aut]
Maintainer: Naidan Tu <naidantu@usf.edu>
Repository: CRAN
Date/Publication: 2021-04-09 08:50:06 UTC

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New package biblionetwork with initial version 0.1.0
Package: biblionetwork
Title: Create Different Types of Bibliometric Networks
Version: 0.1.0
Date: 2021-04-08
Authors@R: c( person(given = "Aurélien", family = "Goutsmedt", role = c("cre","aut"), email = "agoutsmedt@hotmail.fr", comment = c(ORCID = "0000-0002-3788-7237")), person(given = "François", family = "Claveau", role = c("aut"), email = "françois.claveau@usherbrooke.ca", comment = c(ORCID = "0000-0001-7129-7794")), person(given = "Alexandre", family = "Truc", role = c("aut"), email = "alexandre.truc77@gmail.com", comment = c(ORCID = "0000-0002-1328-7819")))
Maintainer: Aurélien Goutsmedt <agoutsmedt@hotmail.fr>
Description: Functions to find edges for bibliometric networks like bibliographic coupling network, co-citation network and co-authorship network. The weights of network edges can be calculated according to different methods, depending on the type of networks, the type of nodes, and what you want to analyse. These functions are optimized to be be used on large dataset. The package contains functions inspired by: Leydesdorff, Loet and Park, Han Woo (2017) <doi:10.1016/j.joi.2016.11.007>; Perianes-Rodriguez, Antonio, Ludo Waltman, and Nees Jan Van Eck (2016) <doi:10.1016/j.joi.2016.10.006>; Sen, Subir K. and Shymal K. Gan (1983) <http://nopr.niscair.res.in/handle/123456789/28008>; Shen, Si, Zhu, Danhao, Rousseau, Ronald, Su, Xinning and Wang, Dongbo (2019) <doi:10.1016/j.joi.2019.01.012>; Zhao, Dangzhi and Strotmann, Andreas (2008) <doi:10.1002/meet.2008.1450450292>.
URL: https://github.com/agoutsmedt/biblionetwork, https://agoutsmedt.github.io/biblionetwork/
BugReports: https://github.com/agoutsmedt/biblionetwork/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: data.table, Rdpack (>= 0.7)
Depends: R (>= 2.10)
RdMacros: Rdpack
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-08 08:04:00 UTC; agout
Author: Aurélien Goutsmedt [cre, aut] (<https://orcid.org/0000-0002-3788-7237>), François Claveau [aut] (<https://orcid.org/0000-0001-7129-7794>), Alexandre Truc [aut] (<https://orcid.org/0000-0002-1328-7819>)
Repository: CRAN
Date/Publication: 2021-04-09 08:20:07 UTC

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Package EMpeaksR (with last version 0.1.0) was removed from CRAN

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

2021-04-09 0.1.0

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Package yorkr updated to version 0.0.20 with previous version 0.0.19 dated 2021-02-03

Title: Analyze Cricket Performances Based on Data from Cricsheet
Description: Analyzing performances of cricketers and cricket teams based on 'yaml' match data from Cricsheet <https://cricsheet.org/>.
Author: Tinniam V Ganesh
Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>

Diff between yorkr versions 0.0.19 dated 2021-02-03 and 0.0.20 dated 2021-04-09

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More information about yorkr at CRAN
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New package EMpeaksR with initial version 0.1.0
Package: EMpeaksR
Title: Conducting the Peak Fitting Based on the EM Algorithm
Version: 0.1.0
Authors@R: person("Tarojiro", "Matsumura", role = c("aut", "cre"), email = "matsumura-tarojiro@aist.go.jp")
Description: The peak fitting of spectral data is performed by using the frame work of EM algorithm. We adapted the EM algorithm for the peak fitting of spectral data set by considering the weight of the intensity corresponding to the measurement energy steps (Matsumura, T., Nagamura, N., Akaho, S., Nagata, K., & Ando, Y. (2019) <doi:10.1080/14686996.2019.1620123>). The package efficiently estimates the parameters of Gaussian mixture model during iterative calculation between E-step and M-step, and the parameters are converged to a local optimal solution. This package can support the investigation of peak shift with two advantages: (1) a large amount of data can be processed at high speed; and (2) stable and automatic calculation can be easily performed.
License: file LICENSE
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-08 06:21:21 UTC; tarojiro.matsumura
Author: Tarojiro Matsumura [aut, cre]
Maintainer: Tarojiro Matsumura <matsumura-tarojiro@aist.go.jp>
Repository: CRAN
Date/Publication: 2021-04-09 08:00:02 UTC

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Package simplevis updated to version 2.6.0 with previous version 2.4.0 dated 2021-03-12

Title: Simple Visualisation with 'ggplot2' and 'leaflet' Wrappers
Description: Wrapper functions to make 'ggplot2' and 'leaflet' visualisation easier and prettier.
Author: David Hodge [aut, cre] (<https://orcid.org/0000-0002-3868-7501>), Statistics New Zealand [cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package Lahman updated to version 9.0-0 with previous version 8.0-1 dated 2021-01-21

Title: Sean 'Lahman' Baseball Database
Description: Provides the tables from the 'Sean Lahman Baseball Database' as a set of R data.frames. It uses the data on pitching, hitting and fielding performance and other tables from 1871 through 2019, as recorded in the 2020 version of the database. Documentation examples show how many baseball questions can be investigated.
Author: Michael Friendly [aut], Chris Dalzell [cre, aut], Martin Monkman [aut], Dennis Murphy [aut], Vanessa Foot [ctb], Justeena Zaki-Azat [ctb]
Maintainer: Chris Dalzell <cdalzell@gmail.com>

Diff between Lahman versions 8.0-1 dated 2021-01-21 and 9.0-0 dated 2021-04-09

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Package correlation updated to version 0.6.1 with previous version 0.6.0 dated 2021-02-12

Title: Methods for Correlation Analysis
Description: Lightweight package for computing different kinds of correlations, such as partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, biweight correlations, distance correlations and more. Part of the 'easystats' ecosystem.
Author: Dominique Makowski [aut, inv] (<https://orcid.org/0000-0001-5375-9967>), Indrajeet Patil [aut, cre] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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More information about correlation at CRAN
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Package rNeighborQTL updated to version 1.1.2 with previous version 1.1.1 dated 2020-11-12

Title: Interval Mapping for Quantitative Trait Loci Underlying Neighbor Effects
Description: To enable quantitative trait loci mapping of neighbor effects, this package extends a single-marker regression to interval mapping. The theoretical background of the method is described in Sato et al. (2021) <doi:10.1093/g3journal/jkab017>.
Author: Yasuhiro Sato [aut, cre] (<https://orcid.org/0000-0002-6466-723X>), Kazuya Takeda [aut], Atsushi J. Nagano [aut] (<https://orcid.org/0000-0001-7891-5049>)
Maintainer: Yasuhiro Sato <sato.yasuhiro.36c@kyoto-u.jp>

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Package PakPMICS2014Wm updated to version 0.1.1 with previous version 0.1.0 dated 2017-09-07

Title: Multiple Indicator Cluster Survey (MICS) 2014 Women Questionnaire Data for Punjab, Pakistan
Description: Provides data set and function for exploration of Multiple Indicator Cluster Survey 2014 Women (age 15-49 years) questionnaire data for Punjab, Pakistan.
Author: Muhammad Yaseen [aut, cre], Muhammad Usman [ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

Diff between PakPMICS2014Wm versions 0.1.0 dated 2017-09-07 and 0.1.1 dated 2021-04-09

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Package PakPMICS2014HL updated to version 0.1.1 with previous version 0.1.0 dated 2017-09-07

Title: Multiple Indicator Cluster Survey (MICS) 2014 Household Listing Questionnaire Data for Punjab, Pakistan
Description: Provides data set and function for exploration of Multiple Indicator Cluster Survey 2014 Household Listing questionnaire data for Punjab, Pakistan.
Author: Muhammad Yaseen [aut, cre], Muhammad Usman [ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Package minidown updated to version 0.1.1 with previous version 0.1.0 dated 2021-04-04

Title: Create Simple Yet Powerful HTML Documents with Light Weight CSS Frameworks
Description: Create minimal, responsive, and style-agnostic HTML documents with the lightweight CSS frameworks such as 'sakura', 'Water.css', and 'spcss'. Powerful features include table of contents floating as a sidebar, folding codes and results, and more.
Author: Atsushi Yasumoto [aut, cph, cre] (<https://orcid.org/0000-0002-8335-495X>), Angelos Chalaris [aut] (mini.css), Susam Pal [aut] (spcss), Mitesh Shah [aut] (sakura), Kognise [aut] (Water.css)
Maintainer: Atsushi Yasumoto <atusy.rpkg@gmail.com>

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Package BET updated to version 0.3.6 with previous version 0.3.5 dated 2021-04-02

Title: Binary Expansion Testing
Description: Nonparametric detection of nonuniformity and dependence with Binary Expansion Testing (BET). See Kai Zhang (2019) BET on Independence, Journal of the American Statistical Association, 114:528, 1620-1637, <DOI:10.1080/01621459.2018.1537921> and Zhigen Zhao, Michael Baiocchi, Kai Zhang. SorBET: A Fast and Powerful Algorithm to Test Dependence of Variables.
Author: Wan Zhang [aut, cre], Zhigen Zhao [aut], Michael Baiocchi [aut], Kai Zhang [aut]
Maintainer: Wan Zhang <wanz63@live.unc.edu>

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Package rsconnect updated to version 0.8.17 with previous version 0.8.16 dated 2019-12-13

Title: Deployment Interface for R Markdown Documents and Shiny Applications
Description: Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'RStudio Connect'. Supported content types include R Markdown documents, Shiny applications, Plumber APIs, plots, and static web content.
Author: JJ Allaire
Maintainer: Jonathan McPherson <jonathan@rstudio.com>

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Package EGRET updated to version 3.0.5 with previous version 3.0.2 dated 2019-02-08

Title: Exploration and Graphics for RivEr Trends
Description: Statistics and graphics for streamflow history, water quality trends, and the statistical modeling algorithm: Weighted Regressions on Time, Discharge, and Season (WRTDS). The modeling method is introduced and discussed in Hirsch et al. (2010) <doi:10.1111/j.1752-1688.2010.00482.x>, and expanded in Hirsch and De Cicco (2015) <doi:10.3133/tm4A10>.
Author: Robert Hirsch [aut] (<https://orcid.org/0000-0002-4534-075X>), Laura DeCicco [aut, cre] (<https://orcid.org/0000-0002-3915-9487>), Tim Cohn [ctb], David Watkins [ctb], Lindsay Carr [ctb], Jennifer Murphy [ctb]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

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More information about EGRET at CRAN
Permanent link

Package CHNOSZ updated to version 1.4.1 with previous version 1.4.0 dated 2020-11-11

Title: Thermodynamic Calculations and Diagrams for Geochemistry
Description: An integrated set of tools for thermodynamic calculations in aqueous geochemistry and geobiochemistry. Functions are provided for writing balanced reactions to form species from user-selected basis species and for calculating the standard molal properties of species and reactions, including the standard Gibbs energy and equilibrium constant. Calculations of the non-equilibrium chemical affinity and equilibrium chemical activity of species can be portrayed on diagrams as a function of temperature, pressure, or activity of basis species; in two dimensions, this gives a maximum affinity or predominance diagram. The diagrams have formatted chemical formulas and axis labels, and water stability limits can be added to Eh-pH, oxygen fugacity- temperature, and other diagrams with a redox variable. The package has been developed to handle common calculations in aqueous geochemistry, such as solubility due to complexation of metal ions, mineral buffers of redox or pH, and changing the basis species across a diagram ("mosaic diagrams"). CHNOSZ also has unique capabilities for comparing the compositional and thermodynamic properties of different proteins.
Author: Jeffrey Dick [aut, cre] (<https://orcid.org/0000-0002-0687-5890>)
Maintainer: Jeffrey Dick <j3ffdick@gmail.com>

Diff between CHNOSZ versions 1.4.0 dated 2020-11-11 and 1.4.1 dated 2021-04-09

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 108 files changed, 4095 insertions(+), 4229 deletions(-)

More information about CHNOSZ at CRAN
Permanent link


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