Wed, 06 Jul 2022

Package blrm updated to version 1.0-2 with previous version 1.0-1 dated 2019-06-24

Title: Dose Escalation Design in Phase I Oncology Trial Using Bayesian Logistic Regression Modeling
Description: Design dose escalation using Bayesian logistic regression modeling in Phase I oncology trial.
Author: Furong Sun <furongs@vt.edu>, Zhonggai Li <zli@bostonbiomedical.com>
Maintainer: Furong Sun <furongs@vt.edu>

Diff between blrm versions 1.0-1 dated 2019-06-24 and 1.0-2 dated 2022-07-06

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Package webdeveloper updated to version 1.0.1 with previous version 1.0.0 dated 2022-06-22

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 wrMisc updated to version 1.9.2 with previous version 1.9.1 dated 2022-04-13

Title: Analyze Experimental High-Throughput (Omics) Data
Description: The efficient treatment and convenient analysis of experimental high-throughput (omics) data gets facilitated through this collection of diverse functions. Several functions address advanced object-conversions, like manipulating lists of lists or lists of arrays, reorganizing lists to arrays or into separate vectors, merging of multiple entries, etc. Another set of functions provides speed-optimized calculation of standard deviation (sd), coefficient of variance (CV) or standard error of the mean (SEM) for data in matrixes or means per line with respect to additional grouping (eg n groups of replicates). Other functions facilitate dealing with non-redundant information, by indexing unique, adding counters to redundant or eliminating lines with respect redundancy in a given reference-column, etc. Help is provided to identify very closely matching numeric values to generate (partial) distance matrixes for very big data in a memory efficient manner or to reduce the complexity of large data-sets by combining very close values. Many times large experimental datasets need some additional filtering, adequate functions are provided. Batch reading (or writing) of sets of files and combining data to arrays is supported, too. Convenient data normalization is supported in various different modes, parameter estimation via permutations or boot-strap as well as flexible testing of multiple pair-wise combinations using the framework of 'limma' is provided, too.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

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Package SingleCaseES updated to version 0.6.1 with previous version 0.6.0 dated 2022-06-03

Title: A Calculator for Single-Case Effect Sizes
Description: Provides R functions for calculating basic effect size indices for single-case designs, including several non-overlap measures and parametric effect size measures, and for estimating the gradual effects model developed by Swan and Pustejovsky (2018) <DOI:10.1080/00273171.2018.1466681>. Standard errors and confidence intervals (based on the assumption that the outcome measurements are mutually independent) are provided for the subset of effect sizes indices with known sampling distributions.
Author: James E. Pustejovsky [aut, cre], Man Chen [aut], Daniel M. Swan [aut], Paulina Grekov [ctb]
Maintainer: James E. Pustejovsky <jepusto@gmail.com>

Diff between SingleCaseES versions 0.6.0 dated 2022-06-03 and 0.6.1 dated 2022-07-06

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Package r2mlm updated to version 0.3.2 with previous version 0.3.1 dated 2021-11-03

Title: R-Squared Measures for Multilevel Models
Description: Generates both total- and level-specific R-squared measures from Rights and Sterba’s (2019) <doi:10.1037/met0000184> framework of R-squared measures for multilevel models with random intercepts and/or slopes, which is based on a complete decomposition of variance. Additionally generates graphical representations of these R-squared measures to allow visualizing and interpreting all measures in the framework together as an integrated set. This framework subsumes 10 previously-developed R-squared measures for multilevel models as special cases of 5 measures from the framework, and it also includes several newly-developed measures. Measures in the framework can be used to compute R-squared differences when comparing multilevel models (following procedures in Rights & Sterba (2020) <doi:10.1080/00273171.2019.1660605>).
Author: Mairead Shaw [aut, cre], Jason Rights [aut], Sonya Sterba [aut], Jessica Flake [aut]
Maintainer: Mairead Shaw <mairead.shaw@mail.mcgill.ca>

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Package lmeInfo updated to version 0.2.1 with previous version 0.2.0 dated 2022-06-15

Title: Information Matrices for 'lmeStruct' and 'glsStruct' Objects
Description: Provides analytic derivatives and information matrices for fitted linear mixed effects (lme) models and generalized least squares (gls) models estimated using lme() (from package 'nlme') and gls() (from package 'nlme'), respectively. The package includes functions for estimating the sampling variance-covariance of variance component parameters using the inverse Fisher information. The variance components include the parameters of the random effects structure (for lme models), the variance structure, and the correlation structure. The expected and average forms of the Fisher information matrix are used in the calculations, and models estimated by full maximum likelihood or restricted maximum likelihood are supported. The package also includes a function for estimating standardized mean difference effect sizes (Pustejovsky, Hedges, and Shadish (2014) <DOI:10.3102/1076998614547577>) based on fitted lme or gls models.
Author: James Pustejovsky [aut] , Man Chen [aut, cre]
Maintainer: Man Chen <manchen9005@gmail.com>

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Package jsTreeR updated to version 2.1.0 with previous version 2.0.0 dated 2022-06-08

Title: A Wrapper of the JavaScript Library 'jsTree'
Description: Creates interactive trees that can be included in 'Shiny' apps and R markdown documents. A tree allows to represent hierarchical data (e.g. the contents of a directory). Similar to the 'shinyTree' package but offers more features and options, such as the grid extension, restricting the drag-and-drop behavior, and settings for the search functionality. It is possible to attach some data to the nodes of a tree and then to get these data in 'Shiny' when a node is selected. Also provides a 'Shiny' gadget allowing to manipulate one or more folders, and a 'Shiny' module allowing to navigate in the server side file system.
Author: Stephane Laurent [aut, cre], jQuery contributors [ctb, cph] , Ivan Bozhanov [ctb, cph] , Vedran Opacic [ctb, cph] , Avi Deitcher [ctb, cph] , Philip Hutchison [ctb, cph] , Terence Eden [ctb, cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package clintools updated to version 0.9.5 with previous version 0.9.4 dated 2022-06-22

Title: Tools for Clinical Research
Description: Every research team have their own script for data management, statistics and most importantly hemodynamic indices. The purpose is to standardize scripts utilized in clinical research. The hemodynamic indices can be used in a long-format dataframe, and add both periods of interest (trigger-periods), and delete artifacts with deleter-files. Transfer function analysis (Claassen et al. (2016) <doi:10.1177/0271678X15626425>) and Mx (Czosnyka et al. (1996) <doi:10.1161/01.str.27.10.1829>) can be calculated using this package.
Author: Markus Harboe Olsen [cre, aut], Christian Riberholt [ctb], Ronan Berg [ctb], Kirsten Moeller [ctb], Janus Christian Jakobsen [ctb], Aksel Karl Georg Jensen [ctb]
Maintainer: Markus Harboe Olsen <oel@oelfam.com>

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Package BASiNETEntropy updated to version 0.99.4 with previous version 0.99.3 dated 2022-07-05

Title: Classification of RNA Sequences using Complex Network and Information Theory
Description: It makes the creation of networks from sequences of RNA, with this is done the abstraction of characteristics of these networks with a methodology of maximum entropy for the purpose of making a classification between the classes of the sequences. There are two data present in the 'BASiNET' package, "mRNA", and "ncRNA" with 10 sequences. These sequences were taken from the data set used in the article (LI, Aimin; ZHANG, Junying; ZHOU, Zhongyin, 2014) <doi:10.1186/1471-2105-15-311>, these sequences are used to run examples.
Author: Murilo Montanini Breve [aut] , Matheus Henrique Pimenta-Zanon [aut] , Fabricio Martins Lopes [aut, cre]
Maintainer: Fabricio Martins Lopes <fabricio@utfpr.edu.br>

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Package quarto updated to version 1.2 with previous version 1.1 dated 2022-01-06

Title: R Interface to 'Quarto' Markdown Publishing System
Description: Convert R Markdown documents and 'Jupyter' notebooks to a variety of output formats using 'Quarto'.
Author: JJ Allaire [aut, cre]
Maintainer: JJ Allaire <jj@rstudio.com>

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Package stacks updated to version 1.0.0 with previous version 0.2.3 dated 2022-05-12

Title: Tidy Model Stacking
Description: Model stacking is an ensemble technique that involves training a model to combine the outputs of many diverse statistical models, and has been shown to improve predictive performance in a variety of settings. 'stacks' implements a grammar for 'tidymodels'-aligned model stacking.
Author: Simon Couch [aut, cre], Max Kuhn [aut], RStudio [cph, fnd]
Maintainer: Simon Couch <simonpatrickcouch@gmail.com>

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Package randomForestSRC updated to version 3.1.1 with previous version 3.1.0 dated 2022-04-15

Title: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance. Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.
Author: Hemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur <ubk@kogalur.com>
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

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Package macleish updated to version 0.3.9 with previous version 0.3.8 dated 2021-09-11

Title: Retrieve Data from MacLeish Field Station
Description: Download data from the Ada and Archibald MacLeish Field Station in Whately, MA. The Ada and Archibald MacLeish Field Station is a 260-acre patchwork of forest and farmland located in West Whately, MA that provides opportunities for faculty and students to pursue environmental research, outdoor education, and low-impact recreation (see <https://www.smith.edu/about-smith/sustainable-smith/macleish> for more information). This package contains weather data over several years, and spatial data on various man-made and natural structures.
Author: Benjamin S. Baumer [aut, cre] , Rose Goueth [aut], Wencong Li [aut], Weijia Zhang [ctb], Nicholas Horton [ctb], Dominique Kelly [aut] , Albert Y. Kim [aut]
Maintainer: Benjamin S. Baumer <ben.baumer@gmail.com>

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Package dockerfiler updated to version 0.2.0 with previous version 0.1.4 dated 2021-09-03

Title: Easy Dockerfile Creation from R
Description: Build a Dockerfile straight from your R session. 'dockerfiler' allows you to create step by step a Dockerfile, and provide convenient tools to wrap R code inside this Dockerfile.
Author: Colin Fay [cre, aut] , Vincent Guyader [aut] , Josiah Parry [aut] , Sebastien Rochette [aut]
Maintainer: Colin Fay <contact@colinfay.me>

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Package baseline updated to version 1.3-4 with previous version 1.3-1 dated 2020-09-12

Title: Baseline Correction of Spectra
Description: Collection of baseline correction algorithms, along with a framework and a Tcl/Tk enabled GUI for optimising baseline algorithm parameters. Typical use of the package is for removing background effects from spectra originating from various types of spectroscopy and spectrometry, possibly optimizing this with regard to regression or classification results. Correction methods include polynomial fitting, weighted local smoothers and many more.
Author: Kristian Hovde Liland [aut, cre] , Bjoern-Helge Mevik [aut], Roberto Canteri [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

Diff between baseline versions 1.3-1 dated 2020-09-12 and 1.3-4 dated 2022-07-06

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More information about baseline at CRAN
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Package pomp updated to version 4.3 with previous version 4.2 dated 2022-04-11

Title: Statistical Inference for Partially Observed Markov Processes
Description: Tools for data analysis with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.
Author: Aaron A. King [aut, cre], Edward L. Ionides [aut], Carles Breto [aut], Stephen P. Ellner [ctb], Matthew J. Ferrari [ctb], Sebastian Funk [ctb], Steven G. Johnson [ctb], Bruce E. Kendall [ctb], Michael Lavine [ctb], Dao Nguyen [ctb], Eamon B. O'Dea [c [...truncated...]
Maintainer: Aaron A. King <kingaa@umich.edu>

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Package PSS.Health updated to version 0.5.1 with previous version 0.4.0 dated 2022-03-29

Title: Power and Sample Size for Health Researchers via Shiny
Description: Power and Sample Size for Health Researchers is a Shiny application that brings together a series of functions related to sample size and power calculations for common analysis in the healthcare field. There are functionalities to calculate the power, sample size to estimate or test hypotheses for means and proportions (including test for correlated groups, equivalence, non-inferiority and superiority), association, correlations coefficients, regression coefficients (linear, logistic and Cox), linear mixed model, Cronbach's alpha, interobserver agreement, intraclass correlation coefficients, limit of agreement on Bland-Altman plots, area under the curve, sensitivity and specificity incorporating the prevalence of disease. You can also use the online version at <https://hcpa-unidade-bioestatistica.shinyapps.io/PSS_Health/>.
Author: Rogerio Boff Borges [aut, cre] , Guilherme Serpa Azambuja [aut] , Aline Castello Branco Mancuso [aut] , Vanessa Bielefeldt Leotti [aut] , Vânia Naomi Hirakata [aut] , Suzi Alves Camey [aut] , Stela Maris de Jezus Castro [aut] , Hospital de Clinicas d [...truncated...]
Maintainer: Rogerio Boff Borges <roborges@hcpa.edu.br>

Diff between PSS.Health versions 0.4.0 dated 2022-03-29 and 0.5.1 dated 2022-07-06

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Package SCIBER updated to version 0.1.3 with previous version 0.1.2 dated 2022-06-22

Title: Single-Cell Integrator and Batch Effect Remover
Description: Remove batch effects by projecting query batches into the reference batch space.
Author: Dailin Gan [aut, cre] , Jun Li [aut]
Maintainer: Dailin Gan <dgan@nd.edu>

Diff between SCIBER versions 0.1.2 dated 2022-06-22 and 0.1.3 dated 2022-07-06

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Package crsuggest updated to version 0.4 with previous version 0.3.1 dated 2021-05-14

Title: Obtain Suggested Coordinate Reference System Information for Spatial Data
Description: Uses data from the 'EPSG' Registry to look up suitable coordinate reference system transformations for spatial datasets in R. Returns a data frame with 'CRS' codes that can be used for 'CRS' transformation and mapping projects. Please see the 'EPSG' Dataset Terms of Use at <https://epsg.org/terms-of-use.html> for more information.
Author: Kyle Walker [aut, cre]
Maintainer: Kyle Walker <kyle@walker-data.com>

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Package dm updated to version 0.3.0 with previous version 0.2.8 dated 2022-04-08

Title: Relational Data Models
Description: Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.
Author: Tobias Schieferdecker [aut], Kirill Mueller [aut, cre] , Antoine Fabri [ctb], Darko Bergant [aut], Katharina Brunner [ctb], James Wondrasek [ctb], Indrajeet Patil [ctb] , Maelle Salmon [ctb] , energie360° AG [fnd], cynkra GmbH [fnd, cph]
Maintainer: Kirill Mueller <krlmlr+r@mailbox.org>

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Package tipmap (with last version 0.1.1) was removed from CRAN

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

2022-07-01 0.1.1

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Package OpenSpecy updated to version 0.9.5 with previous version 0.9.3 dated 2021-10-13

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 (Cowger et al. 2021, <doi:10.1021/acs.analchem.1c00123>). 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://openanalysis.org/openspecy/>.
Author: Win Cowger [cre, aut] , Zacharias Steinmetz [aut] , Andrew Gray [ctb] , Hannah Hapich [ctb] , Jennifer Lynch [ctb, dtc] , Hannah De Frond [ctb, dtc] , Keenan Munno [ctb, dtc] , Chelsea Rochman [ctb, dtc] , Sebastian Primpke [ctb, dtc] , Orestis Herod [...truncated...]
Maintainer: Win Cowger <wincowger@gmail.com>

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Package MAKL updated to version 1.0.1 with previous version 1.0.0 dated 2022-01-17

Title: Multiple Approximate Kernel Learning (MAKL)
Description: R package associated with the Multiple Approximate Kernel Learning (MAKL) algorithm proposed in <doi:10.1093/bioinformatics/btac241>. The algorithm fits multiple approximate kernel learning (MAKL) models that are fast, scalable and interpretable.
Author: Ayyuece Beguem Bektaş [aut, cre] , Mehmet Goenen [aut]
Maintainer: Ayyuece Beguem Bektaş <ayyucebektas17@ku.edu.tr>

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Package farver updated to version 2.1.1 with previous version 2.1.0 dated 2021-02-28

Title: High Performance Colour Space Manipulation
Description: The encoding of colour can be handled in many different ways, using different colour spaces. As different colour spaces have different uses, efficient conversion between these representations are important. The 'farver' package provides a set of functions that gives access to very fast colour space conversion and comparisons implemented in C++, and offers speed improvements over the 'convertColor' function in the 'grDevices' package.
Author: Thomas Lin Pedersen [cre, aut] , Berendea Nicolae [aut] , Romain Francois [aut]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

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Package copyseparator updated to version 1.1.0 with previous version 1.0.0 dated 2022-05-24

Title: Assembling Long Gene Copies from Short Read Data
Description: Assembles two or more gene copies from short-read Next-Generation Sequencing data. Works best when there are only two gene copies and read length >=250 base pairs. High and relatively even coverage are important.
Author: Lei Yang
Maintainer: Lei Yang <leiyangslu@gmail.com>

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Package bqror updated to version 1.4.0 with previous version 1.3.0 dated 2021-11-21

Title: Bayesian Quantile Regression for Ordinal Models
Description: Package provides functions for estimating Bayesian quantile regression with ordinal outcomes, computing the covariate effects, model comparison measures, and inefficiency factor. The generic ordinal model with 3 or more outcomes (labeled OR1 model) is estimated by a combination of Gibbs sampling and Metropolis-Hastings algorithm. Whereas an ordinal model with exactly 3 outcomes (labeled OR2 model) is estimated using Gibbs sampling only. For each model framework, there is a specific function for estimation. The summary output produces estimates for regression quantiles and two measures of model comparison — log of marginal likelihood and Deviance Information Criterion (DIC). The package also has specific functions for computing the covariate effects and other functions that aids either the estimation or inference in quantile ordinal models. Rahman, M. A. (2016).“Bayesian Quantile Regression for Ordinal Models.” Bayesian Analysis, II(I): 1-24 <doi: 10.1214/15-BA939>. Yu, K., and Moyeed, R. A. (2001). “Bayesian Quantile Regression.” Statistics and Probability Letters, 54(4): 437–447 <doi: 10.1016/S0167-7152(01)00124-9>. Koenker, R., and Bassett, G. (1978).“Regression Quantiles.” Econometrica, 46(1): 33-50 <doi: 10.2307/1913643>. Chib, S. (1995). “Marginal likelihood from the Gibbs output.” Journal of the American Statistical Association, 90(432):1313–1321, 1995. <doi: 10.1080/01621459.1995.10476635>. Chib, S., and Jeliazkov, I. (2001). “Marginal likelihood from the Metropolis-Hastings output.” Journal of the American Statistical Association, 96(453):270–281, 2001. <doi: 10.1198/016214501750332848>.
Author: Mohammad Arshad Rahman Developer [aut], Prajual Maheshwari [cre]
Maintainer: Prajual Maheshwari <prajual1391@gmail.com>

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Package dynRB updated to version 0.17 with previous version 0.16 dated 2021-05-11

Title: Dynamic Range Boxes
Description: Improves the concept of multivariate range boxes, which is highly susceptible for outliers and does not consider the distribution of the data. The package uses dynamic range boxes to overcome these problems.
Author: Manuela Schreyer <manuelalarissa.schreyer@sbg.ac.at>, Wolfgang Trutschnig <Wolfgang.Trutschnig@sbg.ac.at>, Robert R. Junker <Robert.Junker@sbg.ac.at>, Jonas Kuppler <Jonas.Kuppler@uni-duesseldorf.de>, Arne Bathke <Arne.Bathke@sbg.ac.at>, Judith H. Pa [...truncated...]
Maintainer: Thimo Kasper <thimo.kasper@plus.ac.at>

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More information about dynRB at CRAN
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Package epidm updated to version 1.0.3 with previous version 1.0.2 dated 2022-02-15

Title: UK Epidemiological Data Management
Description: Contains utilities and functions for the cleaning, processing and management of patient level public health data for surveillance and analysis held by the UK Health Security Agency, UKHSA.
Author: Alex Bhattacharya [aut, cre]
Maintainer: Alex Bhattacharya <alex.bhatt@gmail.com>

Diff between epidm versions 1.0.2 dated 2022-02-15 and 1.0.3 dated 2022-07-06

 DESCRIPTION            |    9 +++++----
 MD5                    |   10 +++++-----
 NEWS.md                |    7 +++++++
 R/respeciate_generic.R |   13 +++++++++++++
 R/sql_connect.R        |    2 +-
 README.md              |    5 +++--
 6 files changed, 34 insertions(+), 12 deletions(-)

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Package ctrdata updated to version 1.10.0 with previous version 1.9.1 dated 2022-04-24

Title: Retrieve and Analyze Clinical Trials in Public Registers
Description: A system for querying, retrieving and analyzing protocol- and results-related information on clinical trials from three public registers, the 'European Union Clinical Trials Register' ('EUCTR', <https://www.clinicaltrialsregister.eu/>), 'ClinicalTrials.gov' ('CTGOV', <https://clinicaltrials.gov/>) and the 'ISRCTN' (<http://www.isrctn.com/>). Trial information is downloaded, converted and stored in a database ('PostgreSQL', 'SQLite' or 'MongoDB'; via package 'nodbi'). Functions are included to identify de-duplicated records, to easily find and extract variables (fields) of interest even from complex nesting as used by the registers, and to update previous queries. The package can be used for meta-analysis and trend-analysis of the design and conduct as well as for results of clinical trials.
Author: Ralf Herold [aut, cre]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

Diff between ctrdata versions 1.9.1 dated 2022-04-24 and 1.10.0 dated 2022-07-06

 DESCRIPTION                                          |    8 
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 NAMESPACE                                            |    3 
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 R/main.R                                             |   91 +++---
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 README.md                                            |   23 +
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 man/ctrLoadQueryIntoDb.Rd                            |   10 
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Package VGAM updated to version 1.1-7 with previous version 1.1-6 dated 2022-02-14

Title: Vector Generalized Linear and Additive Models
Description: An implementation of about 6 major classes of statistical regression models. The central algorithm is Fisher scoring and iterative reweighted least squares. At the heart of this package are the vector generalized linear and additive model (VGLM/VGAM) classes. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs that use smoothing. The book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of the statistical framework and the package. Currently only fixed-effects models are implemented. Many (100+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE. The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Hauck-Donner effect detection is implemented. Note that these functions are subject to change; see the NEWS and ChangeLog files for latest changes.
Author: Thomas Yee [aut, cre] , Cleve Moler [ctb]
Maintainer: Thomas Yee <t.yee@auckland.ac.nz>

Diff between VGAM versions 1.1-6 dated 2022-02-14 and 1.1-7 dated 2022-07-06

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 VGAM-1.1-7/VGAM/man/propodds.Rd             |   61 -
 VGAM-1.1-7/VGAM/man/qrrvglm.control.Rd      |  496 ++++++---
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 VGAM-1.1-7/VGAM/man/qvar.Rd                 |   17 
 VGAM-1.1-7/VGAM/man/rayleighUC.Rd           |   14 
 VGAM-1.1-7/VGAM/man/rcqo.Rd                 |  141 +-
 VGAM-1.1-7/VGAM/man/rec.exp1.Rd             |   34 
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 336 files changed, 12265 insertions(+), 8185 deletions(-)

More information about VGAM at CRAN
Permanent link

Package mvnimpute updated to version 1.0.1 with previous version 1.0.0 dated 2022-06-23

Title: Simultaneously Impute the Missing and Censored Values
Description: Implementing a multiple imputation algorithm for multivariate data with missing and censored values under a coarsening at random assumption (Heitjan and Rubin, 1991<doi:10.1214/aos/1176348396>). The multiple imputation algorithm is based on the data augmentation algorithm proposed by Tanner and Wong (1987)<doi:10.1080/01621459.1987.10478458>. The Gibbs sampling algorithm is adopted to to update the model parameters and draw imputations of the coarse data.
Author: Hesen Li
Maintainer: Hesen Li <li.hesen.21@gmail.com>

Diff between mvnimpute versions 1.0.0 dated 2022-06-23 and 1.0.1 dated 2022-07-06

 mvnimpute-1.0.0/mvnimpute/NEWS.md                    |only
 mvnimpute-1.0.0/mvnimpute/build                      |only
 mvnimpute-1.0.0/mvnimpute/inst                       |only
 mvnimpute-1.0.0/mvnimpute/vignettes                  |only
 mvnimpute-1.0.1/mvnimpute/DESCRIPTION                |    9 +-
 mvnimpute-1.0.1/mvnimpute/MD5                        |   38 ++++------
 mvnimpute-1.0.1/mvnimpute/R/acf.R                    |   57 +---------------
 mvnimpute-1.0.1/mvnimpute/R/avg.plot.R               |   67 +++----------------
 mvnimpute-1.0.1/mvnimpute/R/conv.plot.R              |   17 ++++
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 mvnimpute-1.0.1/mvnimpute/R/marg.plot.R              |   64 +++---------------
 mvnimpute-1.0.1/mvnimpute/R/multiple.imputation.R    |   19 ++---
 mvnimpute-1.0.1/mvnimpute/R/visual.plot.R            |    2 
 mvnimpute-1.0.1/mvnimpute/README.md                  |   26 ++-----
 mvnimpute-1.0.1/mvnimpute/man/acf.calc.Rd            |   59 +---------------
 mvnimpute-1.0.1/mvnimpute/man/avg.plot.Rd            |   63 ++---------------
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 mvnimpute-1.0.1/mvnimpute/man/multiple.imputation.Rd |   19 ++---
 mvnimpute-1.0.1/mvnimpute/man/visual.plot.Rd         |    2 
 21 files changed, 128 insertions(+), 400 deletions(-)

More information about mvnimpute at CRAN
Permanent link

Package mizer updated to version 2.3.1 with previous version 2.3.0.1 dated 2021-09-15

Title: Multi-Species sIZE Spectrum Modelling in R
Description: A set of classes and methods to set up and run multi-species, trait based and community size spectrum ecological models, focused on the marine environment.
Author: Gustav Delius [cre, aut, cph] , Finlay Scott [aut, cph], Julia Blanchard [aut, cph] , Ken Andersen [aut, cph] , Richard Southwell [ctb, cph]
Maintainer: Gustav Delius <gustav.delius@york.ac.uk>

Diff between mizer versions 2.3.0.1 dated 2021-09-15 and 2.3.1 dated 2022-07-06

 DESCRIPTION                                                                     |    8 
 MD5                                                                             |  588 +-
 NAMESPACE                                                                       |  512 -
 NEWS.md                                                                         | 1515 ++---
 R/MizerParams-class.R                                                           | 1670 +++---
 R/MizerSim-class.R                                                              |  716 +-
 R/RcppExports.R                                                                 |   14 
 R/animateSpectra.R                                                              |  208 
 R/calibrate.R                                                                   |  360 -
 R/compareParams.R                                                               |  198 
 R/customFunction.R                                                              |  114 
 R/data.R                                                                        |  252 
 R/deprecated.R                                                                  | 1024 +--
 R/extension.R                                                                   |  590 +-
 R/get_initial_n.R                                                               |   92 
 R/helpers.R                                                                     |   24 
 R/manipulate_species.R                                                          |  937 +--
 R/match.R                                                                       |  266 -
 R/mizer-package.R                                                               |   82 
 R/newMultispeciesParams.R                                                       |  650 +-
 R/newSingleSpeciesParams.R                                                      |  400 -
 R/plotBiomassObservedVsModel.R                                                  |  416 -
 R/plotYieldObservedVsModel.R                                                    |  388 -
 R/plots.R                                                                       | 2650 +++++-----
 R/pred_kernel_funcs.R                                                           |  260 
 R/project.R                                                                     |  844 +--
 R/project_methods.R                                                             | 1340 ++---
 R/rate_functions.R                                                              | 1789 +++---
 R/reproduction.R                                                                |  418 -
 R/resource_dynamics.R                                                           |  162 
 R/saveParams.R                                                                  |  174 
 R/selectivity_funcs.R                                                           |  250 
 R/setBevertonHolt.R                                                             |  645 +-
 R/setColours.R                                                                  |  196 
 R/setExtMort.R                                                                  |  288 -
 R/setFishing.R                                                                  | 1304 ++--
 R/setInitialValues.R                                                            |  316 -
 R/setInteraction.R                                                              |  232 
 R/setMaxIntakeRate.R                                                            |  234 
 R/setMetabolicRate.R                                                            |  250 
 R/setMetadata.R                                                                 |  178 
 R/setPredKernel.R                                                               |  670 +-
 R/setReproduction.R                                                             |  784 +-
 R/setResource.R                                                                 |  556 +-
 R/setSearchVolume.R                                                             |  250 
 R/species_params.R                                                              |  968 +--
 R/steady.R                                                                      |  734 +-
 R/summary_methods.R                                                             | 1610 +++---
 R/test-helpers.R                                                                |   22 
 R/upgrade.R                                                                     |  672 +-
 R/wrapper_functions.R                                                           | 1192 ++--
 README.md                                                                       |  352 -
 inst/CITATION                                                                   |   42 
 inst/WORDLIST                                                                   |  387 -
 inst/examples/supplementary_material.R                                          | 1008 +--
 inst/extdata/NS_f_history.csv                                                   |   90 
 inst/extdata/NS_interaction.csv                                                 |   26 
 inst/extdata/NS_species_params.csv                                              |   26 
 inst/shiny/selectivity_effects/app.R                                            | 1071 ++--
 inst/shiny/selectivity_effects/hake_mullet.RDS                                  |binary
 man/BevertonHoltRDD.Rd                                                          |   94 
 man/MizerParams-class.Rd                                                        |  360 -
 man/MizerParams.Rd                                                              |  126 
 man/MizerSim-class.Rd                                                           |  122 
 man/MizerSim.Rd                                                                 |   56 
 man/N.Rd                                                                        |   54 
 man/NOther.Rd                                                                   |   36 
 man/NS_interaction.Rd                                                           |   58 
 man/NS_params.Rd                                                                |   70 
 man/NS_sim.Rd                                                                   |   62 
 man/NS_species_params.Rd                                                        |   78 
 man/NS_species_params_gears.Rd                                                  |   80 
 man/RickerRDD.Rd                                                                |   70 
 man/SheperdRDD.Rd                                                               |   70 
 man/addSpecies.Rd                                                               |  168 
 man/animateSpectra.Rd                                                           |  142 
 man/box_pred_kernel.Rd                                                          |   67 
 man/calibrateBiomass.Rd                                                         |   92 
 man/calibrateYield.Rd                                                           |   82 
 man/compareParams.Rd                                                            |   52 
 man/constantEggRDI.Rd                                                           |  108 
 man/constantRDD.Rd                                                              |   66 
 man/constant_other.Rd                                                           |   42 
 man/customFunction.Rd                                                           |  112 
 man/default_pred_kernel_params.Rd                                               |   40 
 man/different.Rd                                                                |   40 
 man/distanceMaxRelRDI.Rd                                                        |   66 
 man/distanceSSLogN.Rd                                                           |   70 
 man/double_sigmoid_length.Rd                                                    |   93 
 man/emptyParams.Rd                                                              |  126 
 man/figures/Beverton-Holt-plot-1.png                                            |binary
 man/figures/unnamed-chunk-4-1.png                                               |binary
 man/finalN.Rd                                                                   |   68 
 man/finalNOther.Rd                                                              |   36 
 man/gear_params.Rd                                                              |  136 
 man/getBiomass.Rd                                                               |  107 
 man/getCommunitySlope.Rd                                                        |  150 
 man/getComponent.Rd                                                             |   48 
 man/getCriticalFeedingLevel.Rd                                                  |   38 
 man/getDiet.Rd                                                                  |  154 
 man/getEGrowth.Rd                                                               |  160 
 man/getERepro.Rd                                                                |  166 
 man/getEReproAndGrowth.Rd                                                       |  202 
 man/getESpawning.Rd                                                             |  166 
 man/getEffort.Rd                                                                |   48 
 man/getEncounter.Rd                                                             |  224 
 man/getFMort.Rd                                                                 |  213 
 man/getFMortGear.Rd                                                             |  172 
 man/getFeedingLevel.Rd                                                          |  202 
 man/getGrowthCurves.Rd                                                          |  100 
 man/getM2.Rd                                                                    |  164 
 man/getM2Background.Rd                                                          |  154 
 man/getMeanMaxWeight.Rd                                                         |  124 
 man/getMeanWeight.Rd                                                            |  110 
 man/getMort.Rd                                                                  |  182 
 man/getN.Rd                                                                     |  107 
 man/getParams.Rd                                                                |   46 
 man/getPhiPrey.Rd                                                               |   84 
 man/getPredMort.Rd                                                              |  170 
 man/getPredRate.Rd                                                              |  166 
 man/getProportionOfLargeFish.Rd                                                 |  154 
 man/getRDD.Rd                                                                   |  152 
 man/getRDI.Rd                                                                   |  184 
 man/getRates.Rd                                                                 |  156 
 man/getReproductionLevel.Rd                                                     |   60 
 man/getResourceMort.Rd                                                          |  154 
 man/getSSB.Rd                                                                   |   71 
 man/getTimes.Rd                                                                 |   42 
 man/getYield.Rd                                                                 |  104 
 man/getYieldGear.Rd                                                             |   80 
 man/getZ.Rd                                                                     |  180 
 man/get_f0_default.Rd                                                           |   68 
 man/get_gamma_default.Rd                                                        |   54 
 man/get_h_default.Rd                                                            |   62 
 man/get_initial_n.Rd                                                            |   64 
 man/get_ks_default.Rd                                                           |   56 
 man/get_phi.Rd                                                                  |   50 
 man/get_required_reproduction.Rd                                                |   36 
 man/get_size_range_array.Rd                                                     |  114 
 man/get_time_elements.Rd                                                        |   54 
 man/idxFinalT.Rd                                                                |   58 
 man/indicator_functions.Rd                                                      |   44 
 man/initialN-set.Rd                                                             |   62 
 man/initialNOther-set.Rd                                                        |   44 
 man/initialNResource-set.Rd                                                     |   58 
 man/initial_effort.Rd                                                           |  104 
 man/inter.Rd                                                                    |   42 
 man/knife_edge.Rd                                                               |   45 
 man/log_breaks.Rd                                                               |   50 
 man/lognormal_pred_kernel.Rd                                                    |   83 
 man/matchBiomasses.Rd                                                           |  104 
 man/matchYields.Rd                                                              |   96 
 man/mizer-package.Rd                                                            |  122 
 man/mizerEGrowth.Rd                                                             |  140 
 man/mizerERepro.Rd                                                              |  146 
 man/mizerEReproAndGrowth.Rd                                                     |  198 
 man/mizerEncounter.Rd                                                           |  204 
 man/mizerFMort.Rd                                                               |  152 
 man/mizerFMortGear.Rd                                                           |   88 
 man/mizerFeedingLevel.Rd                                                        |  168 
 man/mizerMort.Rd                                                                |  154 
 man/mizerPredMort.Rd                                                            |  138 
 man/mizerPredRate.Rd                                                            |  146 
 man/mizerRDI.Rd                                                                 |  172 
 man/mizerRates.Rd                                                               |  134 
 man/mizerResourceMort.Rd                                                        |  136 
 man/newCommunityParams.Rd                                                       |  250 
 man/newMultispeciesParams.Rd                                                    | 1238 ++--
 man/newSingleSpeciesParams.Rd                                                   |  242 
 man/newTraitParams.Rd                                                           |  410 -
 man/noRDD.Rd                                                                    |   58 
 man/plotBiomass.Rd                                                              |  234 
 man/plotBiomassObservedVsModel.Rd                                               |  218 
 man/plotDataFrame.Rd                                                            |  110 
 man/plotDiet.Rd                                                                 |  114 
 man/plotFMort.Rd                                                                |  164 
 man/plotFeedingLevel.Rd                                                         |  214 
 man/plotGrowthCurves.Rd                                                         |  190 
 man/plotM2.Rd                                                                   |  154 
 man/plotMizerSim.Rd                                                             |  164 
 man/plotPredMort.Rd                                                             |  162 
 man/plotSpectra.Rd                                                              |  270 -
 man/plotYield.Rd                                                                |  192 
 man/plotYieldGear.Rd                                                            |  164 
 man/plotYieldObservedVsModel.Rd                                                 |  206 
 man/plotting_functions.Rd                                                       |  186 
 man/power_law_pred_kernel.Rd                                                    |  105 
 man/project.Rd                                                                  |  242 
 man/projectToSteady.Rd                                                          |  126 
 man/project_simple.Rd                                                           |  174 
 man/reexports.Rd                                                                |   32 
 man/removeSpecies.Rd                                                            |   66 
 man/renameSpecies.Rd                                                            |   56 
 man/resource_constant.Rd                                                        |   63 
 man/resource_params.Rd                                                          |  138 
 man/resource_semichemostat.Rd                                                   |  143 
 man/saveParams.Rd                                                               |   54 
 man/scaleModel.Rd                                                               |   96 
 man/setBevertonHolt.Rd                                                          |  264 
 man/setColours.Rd                                                               |  124 
 man/setComponent.Rd                                                             |  110 
 man/setExtMort.Rd                                                               |  236 
 man/setFishing.Rd                                                               |  376 -
 man/setInitialValues.Rd                                                         |  112 
 man/setInteraction.Rd                                                           |  180 
 man/setMaxIntakeRate.Rd                                                         |  160 
 man/setMetabolicRate.Rd                                                         |  170 
 man/setMetadata.Rd                                                              |  126 
 man/setParams.Rd                                                                | 1104 ++--
 man/setPredKernel.Rd                                                            |  284 -
 man/setRateFunction.Rd                                                          |  178 
 man/setReproduction.Rd                                                          |  402 -
 man/setResource.Rd                                                              |  270 -
 man/setRmax.Rd                                                                  |  238 
 man/setSearchVolume.Rd                                                          |  176 
 man/set_community_model.Rd                                                      |  274 -
 man/set_multispecies_model.Rd                                                   |  130 
 man/set_species_param_default.Rd                                                |   58 
 man/set_trait_model.Rd                                                          |  318 -
 man/sigmoid_length.Rd                                                           |   61 
 man/sigmoid_weight.Rd                                                           |   49 
 man/species_params.Rd                                                           |  321 -
 man/steady.Rd                                                                   |  120 
 man/summary-MizerParams-method.Rd                                               |   40 
 man/summary-MizerSim-method.Rd                                                  |   40 
 man/summary_functions.Rd                                                        |   54 
 man/truncated_lognormal_pred_kernel.Rd                                          |   85 
 man/upgradeParams.Rd                                                            |  112 
 man/upgradeSim.Rd                                                               |  106 
 man/validGearParams.Rd                                                          |  118 
 man/validParams.Rd                                                              |   34 
 man/validSpeciesParams.Rd                                                       |   86 
 man/valid_species_arg.Rd                                                        |   62 
 man/w.Rd                                                                        |  178 
 tests/spelling.R                                                                |    6 
 tests/testthat.R                                                                |    8 
 tests/testthat/Rplots.pdf                                                       |binary
 tests/testthat/_snaps/plotBiomassObservedVsModel/plotbiomassobservedvsmodel.svg |  250 
 tests/testthat/_snaps/plotYieldObservedVsModel/plotyieldobservedvsmodel.svg     |  222 
 tests/testthat/_snaps/plots/plot-biomass.svg                                    |  146 
 tests/testthat/_snaps/plots/plot-diet.svg                                       |  234 
 tests/testthat/_snaps/plots/plot-feeding-level-critical.svg                     |  150 
 tests/testthat/_snaps/plots/plot-feeding-level.svg                              |  130 
 tests/testthat/_snaps/plots/plot-growth-curves-panel.svg                        |  974 +--
 tests/testthat/_snaps/plots/plot-growth-curves.svg                              |  138 
 tests/testthat/_snaps/plots/plot-single-growth-curve.svg                        |  140 
 tests/testthat/_snaps/plots/plot-spectra.svg                                    |  150 
 tests/testthat/_snaps/plots/plot-yield-by-gear.svg                              |  132 
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Package mappoly updated to version 0.3.1 with previous version 0.3.0 dated 2022-01-11

Title: Genetic Linkage Maps in Autopolyploids
Description: Construction of genetic maps in autopolyploid full-sib populations. Uses pairwise recombination fraction estimation as the first source of information to sequentially position allelic variants in specific homologues. For situations where pairwise analysis has limited power, the algorithm relies on the multilocus likelihood obtained through a hidden Markov model (HMM). For more detail, please see Mollinari and Garcia (2019) <doi:10.1534/g3.119.400378> and Mollinari et al. (2020) <doi:10.1534/g3.119.400620>.
Author: Marcelo Mollinari [aut, cre] , Gabriel Gesteira [aut] , Guilhereme Pereira [ctb] , Augusto Garcia [ctb] , Zhao-Bang Zeng [ctb] , Katharine Preedy [ctb, cph] , Robert Gentleman [cph] , Ross Ihaka [cph] , R Foundation [cph] , R-core [cph]
Maintainer: Marcelo Mollinari <mmollin@ncsu.edu>

Diff between mappoly versions 0.3.0 dated 2022-01-11 and 0.3.1 dated 2022-07-06

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Package fido updated to version 1.0.2 with previous version 1.0.1 dated 2022-05-17

Title: Bayesian Multinomial Logistic Normal Regression
Description: Provides methods for fitting and inspection of Bayesian Multinomial Logistic Normal Models using MAP estimation and Laplace Approximation as developed in Silverman et. Al. (2022) <https://www.jmlr.org/papers/v23/19-882.html>. Key functionality is implemented in C++ for scalability. 'fido' replaces the previous package 'stray'.
Author: Justin Silverman [aut], Kim Roche [ctb], Michelle Nixon [ctb, cre]
Maintainer: Michelle Nixon <pistner@psu.edu>

Diff between fido versions 1.0.1 dated 2022-05-17 and 1.0.2 dated 2022-07-06

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Package bcdata updated to version 0.3.2 with previous version 0.3.1 dated 2022-05-24

Title: Search and Retrieve Data from the BC Data Catalogue
Description: Search, query, and download tabular and 'geospatial' data from the British Columbia Data Catalogue (<https://catalogue.data.gov.bc.ca/>). Search catalogue data records based on keywords, data licence, sector, data format, and B.C. government organization. View metadata directly in R, download many data formats, and query 'geospatial' data available via the B.C. government Web Feature Service ('WFS') using 'dplyr' syntax.
Author: Andy Teucher [aut, cre] , Sam Albers [aut, ctb] , Stephanie Hazlitt [aut, ctb] , Province of British Columbia [cph]
Maintainer: Andy Teucher <andy.teucher@gov.bc.ca>

Diff between bcdata versions 0.3.1 dated 2022-05-24 and 0.3.2 dated 2022-07-06

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Package vetiver updated to version 0.1.6 with previous version 0.1.5 dated 2022-05-25

Title: Version, Share, Deploy, and Monitor Models
Description: The goal of 'vetiver' is to provide fluent tooling to version, share, deploy, and monitor a trained model. Functions handle both recording and checking the model's input data prototype, and predicting from a remote API endpoint. The 'vetiver' package is extensible, with generics that can support many kinds of models.
Author: Julia Silge [cre, aut] , RStudio [cph, fnd]
Maintainer: Julia Silge <julia.silge@rstudio.com>

Diff between vetiver versions 0.1.5 dated 2022-05-25 and 0.1.6 dated 2022-07-06

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Package shinyTempSignal updated to version 0.0.3 with previous version 0.0.2 dated 2022-04-14

Title: Explore Temporal Signal of Molecular Phylogenies
Description: Sequences sampled at different time points can be used to infer molecular phylogenies on natural time scales, but if the sequences records inaccurate sampling times, that are not the actual sampling times, then it will affect the molecular phylogenetic analysis. This shiny application helps exploring temporal characteristics of the evolutionary trees through linear regression analysis and with the ability to identify and remove incorrect labels.
Author: Guangchuang Yu [aut, cre, cph] , Xuanan Zhu [aut], Jianfeng Lin [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between shinyTempSignal versions 0.0.2 dated 2022-04-14 and 0.0.3 dated 2022-07-06

 DESCRIPTION     |   12 ++--
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New package delaunay with initial version 1.0.0
Package: delaunay
Title: 2d, 2.5d, and 3d Delaunay Tessellations
Version: 1.0.0
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Description: Construction and visualization of 2d Delaunay triangulations, possibly constrained, 2.5d (i.e. elevated) Delaunay triangulations, and 3d Delaunay triangulations.
License: GPL-3
URL: https://github.com/stla/delaunay
BugReports: https://github.com/stla/delaunay/issues
Depends: R (>= 4.2.0)
Imports: gplots, graphics, randomcoloR, Rcpp (>= 1.0.8), rgl, Rvcg, utils
Suggests: uniformly
LinkingTo: Rcpp, RcppCGAL, RcppEigen
Encoding: UTF-8
SystemRequirements: C++ 14, gmp, mpfr
OS_type: windows
NeedsCompilation: yes
Packaged: 2022-07-05 09:30:14 UTC; SDL96354
Repository: CRAN
Date/Publication: 2022-07-06 05:40:02 UTC

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New package brpop with initial version 0.1.0
Package: brpop
Title: Brazilian Population Estimatives
Version: 0.1.0
Description: Datasets with yearly (2000 to 2021) Brazilian population estimates from DataSUS/Brazilian Health Ministry, aggregated by state, municipality, sex, and age groups. The data in this package is manually downloaded from the DataSUS website (<http://tabnet.datasus.gov.br/cgi/deftohtm.exe?popsvs/cnv/popbr.def>) and converted to tibbles.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
LazyDataCompression: xz
Suggests: testthat (>= 3.0.0)
Imports: dplyr, magrittr, rlang
NeedsCompilation: no
Packaged: 2022-07-05 14:52:00 UTC; raphaelsaldanha
Author: Raphael Saldanha [aut, cre]
Maintainer: Raphael Saldanha <raphael.saldanha@icict.fiocruz.br>
Repository: CRAN
Date/Publication: 2022-07-06 05:50:02 UTC

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