Wed, 28 Aug 2024

Package sas7bdat updated to version 0.8 with previous version 0.7 dated 2023-05-02

Title: sas7bdat Reverse Engineering Documentation
Description: Documentation and prototypes for the earliest (circa 2010) open-source effort to reverse engineer the sas7bdat file format. The package includes a prototype reader for sas7bdat files. However, newer packages may contain more robust readers for sas7bdat files.
Author: Matt Shotwell [aut, cre], Clint Cummins [ctb]
Maintainer: Matt Shotwell <matt.shotwell@vanderbilt.edu>

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Package archivist updated to version 2.3.8 with previous version 2.3.6 dated 2021-05-20

Title: Tools for Storing, Restoring and Searching for R Objects
Description: Data exploration and modelling is a process in which a lot of data artifacts are produced. Artifacts like: subsets, data aggregates, plots, statistical models, different versions of data sets and different versions of results. The more projects we work with the more artifacts are produced and the harder it is to manage these artifacts. Archivist helps to store and manage artifacts created in R. Archivist allows you to store selected artifacts as a binary files together with their metadata and relations. Archivist allows to share artifacts with others, either through shared folder or github. Archivist allows to look for already created artifacts by using it's class, name, date of the creation or other properties. Makes it easy to restore such artifacts. Archivist allows to check if new artifact is the exact copy that was produced some time ago. That might be useful either for testing or caching.
Author: Przemyslaw Biecek [aut, cre], Marcin Kosinski [aut], Witold Chodor [ctb]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

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Package unmarked updated to version 1.4.2 with previous version 1.4.1 dated 2024-01-09

Title: Models for Data from Unmarked Animals
Description: Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates. References: Kellner et al. (2023) <doi:10.1111/2041-210X.14123>, Fiske and Chandler (2011) <doi:10.18637/jss.v043.i10>.
Author: Richard Chandler [aut], Ken Kellner [cre, aut], Ian Fiske [aut], David Miller [aut], Andy Royle [aut], Jeff Hostetler [aut], Rebecca Hutchinson [aut], Adam Smith [aut], Lea Pautrel [aut], Marc Kery [ctb], Mike Meredith [ctb], Auriel Fournier [ctb], A [...truncated...]
Maintainer: Ken Kellner <contact@kenkellner.com>

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Package mvMORPH updated to version 1.2.1 with previous version 1.2.0 dated 2024-08-27

Title: Multivariate Comparative Tools for Fitting Evolutionary Models to Morphometric Data
Description: Fits multivariate (Brownian Motion, Early Burst, ACDC, Ornstein-Uhlenbeck and Shifts) models of continuous traits evolution on trees and time series. 'mvMORPH' also proposes high-dimensional multivariate comparative tools (linear models using Generalized Least Squares and multivariate tests) based on penalized likelihood. See Clavel et al. (2015) <DOI:10.1111/2041-210X.12420>, Clavel et al. (2019) <DOI:10.1093/sysbio/syy045>, and Clavel & Morlon (2020) <DOI:10.1093/sysbio/syaa010>.
Author: Julien Clavel [aut, cre], with contributions from Aaron King [aut], Emmanuel Paradis [aut]
Maintainer: Julien Clavel <julien.clavel@hotmail.fr>

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Package ecmwfr updated to version 2.0.0 with previous version 1.5.0 dated 2023-01-19

Title: Interface to 'ECMWF' and 'CDS' Data Web Services
Description: Programmatic interface to the European Centre for Medium-Range Weather Forecasts dataset web services (ECMWF; <https://www.ecmwf.int/>) and Copernicus's Data Stores. Allows for easy downloads of weather forecasts and climate reanalysis data in R. Data stores covered include the Climate Data Store (CDS; <https://cds-beta.climate.copernicus.eu>), Atmosphere Data Store (ADS; <https://ads-beta.atmosphere.copernicus.eu>) and Early Warning Data Store (CEMS; <https://ewds-beta.climate.copernicus.eu>).
Author: Koen Hufkens [aut, cre, cph] , Reto Stauffer [ctb] , Elio Campitelli [ctb] , BlueGreen Labs [fnd]
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>

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Package ctrdata updated to version 1.19.2 with previous version 1.19.1 dated 2024-07-18

Title: Retrieve and Analyze Clinical Trials in Public Registers
Description: A system for querying, retrieving and analyzing protocol- and results-related information on clinical trials from four public registers, the 'European Union Clinical Trials Register' ('EUCTR', <https://www.clinicaltrialsregister.eu/>), 'ClinicalTrials.gov' (<https://clinicaltrials.gov/> and also translating queries the retired classic interface), the 'ISRCTN' (<http://www.isrctn.com/>) and the 'European Union Clinical Trials Information System' ('CTIS', <https://euclinicaltrials.eu/>). Trial information is downloaded, converted and stored in a database ('PostgreSQL', 'SQLite', 'DuckDB' or 'MongoDB'; via package 'nodbi'). Documents in registers associated with trials can also be downloaded. Other functions identify deduplicated records, easily find and extract variables (fields) of interest even from complex nested data as used by the registers, merge variables and update queries. The package can be used for meta-analysis and trend-analysis of the design and cond [...truncated...]
Author: Ralf Herold [aut, cre]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

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Package lsirm12pl updated to version 1.3.3 with previous version 1.3.2 dated 2024-07-29

Title: Latent Space Item Response Model
Description: Analysis of dichotomous and continuous response data using latent factor by both 1PL LSIRM and 2PL LSIRM as described in Jeon et al. (2021) <doi:10.1007/s11336-021-09762-5>. It includes original 1PL LSIRM and 2PL LSIRM provided for binary response data and its extension for continuous response data. Bayesian model selection with spike-and-slab prior and method for dealing data with missing value under missing at random, missing completely at random are also supported. Various diagnostic plots are available to inspect the latent space and summary of estimated parameters.
Author: Dongyoung Go [aut], Gwanghee Kim [aut], Jina Park [aut, cre], Ickhoon Jin [ctb], Minjeong Jeon [ctb]
Maintainer: Jina Park <pja070707@gmail.com>

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Package HyMETT updated to version 1.1.3 with previous version 1.1.2 dated 2023-11-22

Title: Hydrologic Model Evaluation and Time-Series Tools
Description: Facilitates the analysis and evaluation of hydrologic model output and time-series data with functions focused on comparison of modeled (simulated) and observed data, period-of-record statistics, and trends.
Author: Colin Penn [aut, cre] , Caelan Simeone [aut] , Sara Levin [aut] , Samuel Saxe [aut] , Sydney Foks [aut] , Robert Dudley [dtc] , Glenn Hodgkins [dtc] , Timothy Hodson [aut] , Thomas Over [dtc] , Amy Russell [dtc]
Maintainer: Colin Penn <cpenn@usgs.gov>

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Package modEvA updated to version 3.18.2 with previous version 3.17 dated 2024-06-06

Title: Model Evaluation and Analysis
Description: Analyses species distribution models and evaluates their performance. It includes functions for variation partitioning, extracting variable importance, computing several metrics of model discrimination and calibration performance, optimizing prediction thresholds based on a number of criteria, performing multivariate environmental similarity surface (MESS) analysis, and displaying various analytical plots. Initially described in Barbosa et al. (2013) <doi:10.1111/ddi.12100>.
Author: Barbosa A.M. [aut], Brown J.A. [aut], Jimenez-Valverde A. [aut], Real R.z [aut], A. Marcia Barbosa [cre]
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

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Package glmnetr updated to version 0.5-3 with previous version 0.5-2 dated 2024-07-12

Title: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models
Description: Cross validation informed Relaxed LASSO, Artificial Neural Network (ANN), gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'), Oblique Random Forest ('aorsf'), Recursive Partitioning ('RPART') or step wise regression models are fit. Cross validation leave out samples (leading to nested cross validation) or bootstrap out-of-bag samples are used to evaluate and compare performances between these models with results presented in tabular or graphical means. Calibration plots can also be generated, again based upon (outer nested) cross validation or bootstrap leave out (out of bag) samples. For some datasets, for example when the design matrix is not of full rank, 'glmnet' may have very long run times when fitting the relaxed lasso model, from our experience when fitting Cox models on data with many predictors and many patients, making it difficult to get solutions from either glmnet() or cv.glmnet(). This may be remedied by using the 'path=TRUE' option when calling [...truncated...]
Author: Walter K Kremers [aut, cre] , Nicholas B Larson [ctb]
Maintainer: Walter K Kremers <kremers.walter@mayo.edu>

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Package ympes updated to version 1.5.0 with previous version 1.4.0 dated 2024-08-20

Title: Collection of Helper Functions
Description: Provides a collection of lightweight helper functions (imps) both for interactive use and for inclusion within other packages. These include functions for minimal input assertions, visualising colour palettes, quoting user input, searching rows of a data frame and capturing string tokens.
Author: Tim Taylor [aut, cre, cph] , R Core Team [cph] , Toby Hocking [cph]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package ggrcs updated to version 0.4.1 with previous version 0.4.0 dated 2024-06-28

Title: Draw Histograms and Restricted Cubic Splines (RCS)
Description: You can use this function to easily draw a combined histogram and restricted cubic spline. The function draws the graph through 'ggplot2'. RCS fitting requires the use of the rcs() function of the 'rms' package. Can fit cox regression, logistic regression. This method was described by Per Kragh (2003) <doi:10.1002/sim.1497>.
Author: Qiang LIU [aut, cre]
Maintainer: Qiang LIU <dege857@163.com>

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Package bayesRecon updated to version 0.3.1 with previous version 0.3.0 dated 2024-05-29

Title: Probabilistic Reconciliation via Conditioning
Description: Provides methods for probabilistic reconciliation of hierarchical forecasts of time series. The available methods include analytical Gaussian reconciliation (Corani et al., 2021) <doi:10.1007/978-3-030-67664-3_13>, MCMC reconciliation of count time series (Corani et al., 2024) <doi:10.1016/j.ijforecast.2023.04.003>, Bottom-Up Importance Sampling (Zambon et al., 2024) <doi:10.1007/s11222-023-10343-y>, methods for the reconciliation of mixed hierarchies (Mix-Cond and TD-cond) (Zambon et al., 2024. The 40th Conference on Uncertainty in Artificial Intelligence, accepted).
Author: Dario Azzimonti [aut, cre] , Nicolo Rubattu [aut] , Lorenzo Zambon [aut] , Giorgio Corani [aut]
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>

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Package DFD updated to version 0.2.0 with previous version 0.1.0 dated 2023-10-10

Title: Extract Drugs from Differential Expression Data from LINCS Database
Description: Get Drug information from given differential expression profile. The package search for the bioactive compounds from reference databases such as LINCS containing the genome-wide gene expression signature (GES) from tens of thousands of drug and genetic perturbations (Subramanian et al. (2017) <DOI:10.1016/j.cell.2017.10.049>).
Author: Mohamed Soudy [aut, cre]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>

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Package BTtest updated to version 0.10.3 with previous version 0.10.2 dated 2024-06-20

Title: Estimate the Number of Factors in Large Nonstationary Datasets
Description: Large panel data sets are often subject to common trends. However, it can be difficult to determine the exact number of these common factors and analyse their properties. The package implements the Barigozzi and Trapani (2022) <doi:10.1080/07350015.2021.1901719> test, which not only provides an efficient way of estimating the number of common factors in large nonstationary panel data sets, but also gives further insights on factor classes. The routine identifies the existence of (i) a factor subject to a linear trend, (ii) the number of zero-mean I(1) and (iii) zero-mean I(0) factors. Furthermore, the package includes the Integrated Panel Criteria by Bai (2004) <doi:10.1016/j.jeconom.2003.10.022> that provide a complementary measure for the number of factors.
Author: Paul Haimerl [aut, cre]
Maintainer: Paul Haimerl <p.haimerl@student.maastrichtuniversity.nl>

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Package viafr updated to version 0.3.1 with previous version 0.3.0 dated 2022-08-31

Title: Interface to the 'VIAF' ('Virtual International Authority File') API
Description: Provides direct access to linked names for the same entity across the world's major name authority files, including national and regional variations in language, character set, and spelling. For more information go to <https://viaf.org/>.
Author: Stefanie Schneider [cre, aut]
Maintainer: Stefanie Schneider <stefanie.schneider@itg.uni-muenchen.de>

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Package scatterpie updated to version 0.2.4 with previous version 0.2.3 dated 2024-06-05

Title: Scatter Pie Plot
Description: Creates scatterpie plots, especially useful for plotting pies on a map.
Author: Guangchuang Yu [aut, cre] , Shuangbin Xu [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package nonnest2 updated to version 0.5-8 with previous version 0.5-7 dated 2024-05-06

Title: Tests of Non-Nested Models
Description: Testing non-nested models via theory supplied by Vuong (1989) <DOI:10.2307/1912557>. Includes tests of model distinguishability and of model fit that can be applied to both nested and non-nested models. Also includes functionality to obtain confidence intervals associated with AIC and BIC. This material is partially based on work supported by the National Science Foundation under Grant Number SES-1061334.
Author: Edgar Merkle [aut, cre], Dongjun You [aut], Lennart Schneider [ctb], Mauricio Garnier-Villarreal [ctb], Seongho Bae [ctb], Phil Chalmers [ctb]
Maintainer: Edgar Merkle <merklee@missouri.edu>

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Package ggfun updated to version 0.1.6 with previous version 0.1.5 dated 2024-05-28

Title: Miscellaneous Functions for 'ggplot2'
Description: Useful functions and utilities for 'ggplot' object (e.g., geometric layers, themes, and utilities to edit the object).
Author: Guangchuang Yu [aut, cre, cph] , Shuangbin Xu [aut]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package ProbBreed updated to version 1.0.4.2 with previous version 1.0.4.1 dated 2024-07-26

Title: Probability Theory for Selecting Candidates in Plant Breeding
Description: Use probability theory under the Bayesian framework for calculating the risk of selecting candidates in a multi-environment context. Contained are functions used to fit a Bayesian multi-environment model (based on the available presets), extract posterior values and maximum posterior values, compute the variance components, check the model’s convergence, and calculate the probabilities. For both across and within-environments scopes, the package computes the probability of superior performance and the pairwise probability of superior performance. Furthermore, the probability of superior stability and the pairwise probability of superior stability across environments is estimated. A joint probability of superior performance and stability is also provided.
Author: Saulo Chaves [aut, cre] , Kaio Dias [aut, cph] , Matheus Krause [aut]
Maintainer: Saulo Chaves <saulo.chaves@ufv.br>

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Package BiocManager updated to version 1.30.25 with previous version 1.30.24 dated 2024-08-20

Title: Access the Bioconductor Project Package Repository
Description: A convenient tool to install and update Bioconductor packages.
Author: Martin Morgan [aut] , Marcel Ramos [aut, cre]
Maintainer: Marcel Ramos <marcel.ramos@sph.cuny.edu>

Diff between BiocManager versions 1.30.24 dated 2024-08-20 and 1.30.25 dated 2024-08-28

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Package vegan updated to version 2.6-8 with previous version 2.6-6.1 dated 2024-05-21

Title: Community Ecology Package
Description: Ordination methods, diversity analysis and other functions for community and vegetation ecologists.
Author: Jari Oksanen [aut, cre], Gavin L. Simpson [aut], F. Guillaume Blanchet [aut], Roeland Kindt [aut], Pierre Legendre [aut], Peter R. Minchin [aut], R.B. O'Hara [aut], Peter Solymos [aut], M. Henry H. Stevens [aut], Eduard Szoecs [aut], Helene Wagner [a [...truncated...]
Maintainer: Jari Oksanen <jhoksane@gmail.com>

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Package sensitivity updated to version 1.30.1 with previous version 1.30.0 dated 2024-01-21

Title: Global Sensitivity Analysis of Model Outputs and Importance Measures
Description: A collection of functions for sensitivity analysis of model outputs (factor screening, global sensitivity analysis and robustness analysis), for variable importance measures of data, as well as for interpretability of machine learning models. Most of the functions have to be applied on scalar output, but several functions support multi-dimensional outputs.
Author: Bertrand Iooss [aut, cre], Sebastien Da Veiga [aut], Alexandre Janon [aut], Gilles Pujol [aut]
Maintainer: Bertrand Iooss <biooss@yahoo.fr>

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Package ivo.table updated to version 0.5 with previous version 0.4.1 dated 2024-03-19

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

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Package giscoR updated to version 0.6.0 with previous version 0.5.1 dated 2024-07-06

Title: Download Map Data from GISCO API - Eurostat
Description: Tools to download data from the GISCO (Geographic Information System of the Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>. Global and European map data available. This package is in no way officially related to or endorsed by Eurostat.
Author: Diego Hernangomez [aut, cre, cph] , EuroGeographics [cph] , Vincent Arel-Bundock [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package climaemet updated to version 1.4.0 with previous version 1.3.0 dated 2024-06-23

Title: Climate AEMET Tools
Description: Tools to download the climatic data of the Spanish Meteorological Agency (AEMET) directly from R using their API and create scientific graphs (climate charts, trend analysis of climate time series, temperature and precipitation anomalies maps, warming stripes graphics, climatograms, etc.).
Author: Manuel Pizarro [aut, cph] , Diego Hernangomez [aut, cre] , Gema Fernandez-Aviles [aut]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package boot updated to version 1.3-31 with previous version 1.3-30 dated 2024-02-25

Title: Bootstrap Functions (Originally by Angelo Canty for S)
Description: Functions and datasets for bootstrapping from the book "Bootstrap Methods and Their Application" by A. C. Davison and D. V. Hinkley (1997, CUP), originally written by Angelo Canty for S.
Author: Angelo Canty [aut] , Brian Ripley [aut, trl] , Alessandra R. Brazzale [ctb, cre]
Maintainer: Alessandra R. Brazzale <brazzale@stat.unipd.it>

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Package runMCMCbtadjust updated to version 1.1.2 with previous version 1.1.1 dated 2024-06-05

Title: Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or 'greta' - While Adjusting Burn-in and Thinning Parameters
Description: The function runMCMC_btadjust() returns a mcmc.list object which is the output of a Markov Chain Monte Carlo obtained - from either 'JAGS', 'nimble' or 'greta' - after adjusting burn-in and thinning parameters to meet pre-specified criteria in terms of convergence & effective sample size. Used with 'nimble', runMCMC_btadjust() allows extra calculations (e.g. information criteria for model comparison and goodness-of-fit p-values for model diagnosis).
Author: Frederic Gosselin [cre, aut] , Institut national de recherche pour l'agriculture, l'alimentation et l'environnement [cph]
Maintainer: Frederic Gosselin <frederic.gosselin@inrae.fr>

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 runMCMCbtadjust-1.1.2/runMCMCbtadjust/man/runMCMC_btadjust.Rd                                          |   13 
 runMCMCbtadjust-1.1.2/runMCMCbtadjust/vignettes/references.bib                                         |   12 
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Permanent link

Package qCBA updated to version 1.0 with previous version 0.5.1 dated 2020-11-19

Title: Postprocessing of Rule Classification Models Learnt on Quantized Data
Description: Implements the Quantitative Classification-based on Association Rules (QCBA) algorithm (<doi:10.1007/s10489-022-04370-x>). QCBA postprocesses rule classification models making them typically smaller and in some cases more accurate. Supported are 'CBA' implementations from 'rCBA', 'arulesCBA' and 'arc' packages, and 'CPAR', 'CMAR', 'FOIL2' and 'PRM' implementations from 'arulesCBA' package and 'SBRL' implementation from the 'sbrl' package. The result of the post-processing is an ordered CBA-like rule list.
Author: Tomas Kliegr [aut, cre]
Maintainer: Tomas Kliegr <kliegr@gmail.com>

Diff between qCBA versions 0.5.1 dated 2020-11-19 and 1.0 dated 2024-08-28

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 qCBA-0.5.1/qCBA/man/debug                                                                   |only
 qCBA-1.0/qCBA/DESCRIPTION                                                                   |   33 
 qCBA-1.0/qCBA/MD5                                                                           |   37 
 qCBA-1.0/qCBA/NAMESPACE                                                                     |    8 
 qCBA-1.0/qCBA/NEWS                                                                          |   31 
 qCBA-1.0/qCBA/R/rMARC.R                                                                     |  453 +++++++---
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 qCBA-1.0/qCBA/java/src/eu/kliegr/ac1/rule/RuleMultiItem.java                                |    1 
 qCBA-1.0/qCBA/java/src/eu/kliegr/ac1/rule/parsers/GUHASerializerWithAnnotationSupport.java  |    2 
 qCBA-1.0/qCBA/man/arulesCBA2arcCBAModel.Rd                                                  |    4 
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 qCBA-1.0/qCBA/man/predict.qCBARuleModel.Rd                                                  |    3 
 qCBA-1.0/qCBA/man/qcba.Rd                                                                   |    4 
 qCBA-1.0/qCBA/man/rcbaModel2CBARuleModel.Rd                                                 |   11 
 qCBA-1.0/qCBA/man/sbrlModel2arcCBARuleModel.Rd                                              |  148 +--
 21 files changed, 531 insertions(+), 265 deletions(-)

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Package broom.helpers updated to version 1.17.0 with previous version 1.16.0 dated 2024-08-20

Title: Helpers for Model Coefficients Tibbles
Description: Provides suite of functions to work with regression model 'broom::tidy()' tibbles. The suite includes functions to group regression model terms by variable, insert reference and header rows for categorical variables, add variable labels, and more.
Author: Joseph Larmarange [aut, cre] , Daniel D. Sjoberg [aut]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between broom.helpers versions 1.16.0 dated 2024-08-20 and 1.17.0 dated 2024-08-28

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 NAMESPACE                                  |    3 
 NEWS.md                                    |   26 ++
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 tests/testthat/test-select_helpers.R       |  232 +-------------------
 tests/testthat/test-select_variables.R     |    6 
 115 files changed, 1329 insertions(+), 1227 deletions(-)

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Package gdtools updated to version 0.4.0 with previous version 0.3.7 dated 2024-03-05

Title: Utilities for Graphical Rendering and Fonts Management
Description: Tools are provided to compute metrics of formatted strings and to check the availability of a font. Another set of functions is provided to support the collection of fonts from 'Google Fonts' in a cache. Their use is simple within 'R Markdown' documents and 'shiny' applications but also with graphic productions generated with the 'ggiraph', 'ragg' and 'svglite' packages or with tabular productions from the 'flextable' package.
Author: David Gohel [aut, cre], Hadley Wickham [aut], Lionel Henry [aut], Jeroen Ooms [aut] , Yixuan Qiu [ctb], R Core Team [cph] , ArData [cph], RStudio [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between gdtools versions 0.3.7 dated 2024-03-05 and 0.4.0 dated 2024-08-28

 gdtools-0.3.7/gdtools/NEWS                              |only
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 gdtools-0.4.0/gdtools/R/fonts.R                         |   61 +++++++++++++---
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New package WOAkMedoids with initial version 0.1.0
Package: WOAkMedoids
Depends: R (>= 3.5.0)
Title: Whale Optimization Algorithm for K-Medoids Clustering
Version: 0.1.0
Date: 2024-08-03
Encoding: UTF-8
Description: Implements the Whale Optimization Algorithm(WOA) for k-medoids clustering, providing tools for effective and efficient cluster analysis in various data sets. The methodology is based on "The Whale Optimization Algorithm" by Mirjalili and Lewis (2016) <doi:10.1016/j.advengsoft.2016.01.008>.
License: GPL (>= 2)
Imports: dtwclust, proxy, cluster, Rcpp (>= 1.0.11)
LinkingTo: Rcpp
LazyData: true
NeedsCompilation: yes
Packaged: 2024-08-24 11:56:39 UTC; chan
Author: Chenan Huang [aut, cre], Narumasa Tsutsumida [aut]
Maintainer: Chenan Huang <hualianchan@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-28 08:50:02 UTC

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New package tican with initial version 1.0.1
Package: tican
Title: Plot and Analyse Time-Intensity Data
Version: 1.0.1
Maintainer: Samuel James Tingle <samjamestingle@gmail.com>
Description: Plots and analyzes time-intensity curve data, such as data from (contrast-enhanced) ultrasound. Values such as peak intensity, time to peak and area under the curve are calculated.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/sjtingle/tican
BugReports: https://github.com/sjtingle/tican/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-23 09:19:58 UTC; samueltingle
Author: Samuel James Tingle [aut, cre]
Repository: CRAN
Date/Publication: 2024-08-28 08:10:01 UTC

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Package sem updated to version 3.1-16 with previous version 3.1-15 dated 2022-04-10

Title: Structural Equation Models
Description: Functions for fitting general linear structural equation models (with observed and latent variables) using the RAM approach, and for fitting structural equations in observed-variable models by two-stage least squares.
Author: John Fox [aut], Zhenghua Nie [aut, cre], Jarrett Byrnes [aut], Michael Culbertson [ctb], Saikat DebRoy [ctb], Michael Friendly [ctb], Benjamin Goodrich [ctb], Richard H. Jones [ctb], Adam Kramer [ctb], Georges Monette [ctb], Frederick Novomestky [ctb [...truncated...]
Maintainer: Zhenghua Nie <zhenghua.nie@gmail.com>

Diff between sem versions 3.1-15 dated 2022-04-10 and 3.1-16 dated 2024-08-28

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 sem-3.1-16/sem/src/csemnlm.c               |  200 ++++-----
 20 files changed, 544 insertions(+), 533 deletions(-)

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New package rYWAASB with initial version 0.1
Package: rYWAASB
Title: Simultaneous Selection of Trait and WAASB Index
Version: 0.1
Date: 2024-8-16.
Maintainer: Ali Arminian <abeyran@gmail.com>
Description: Proposes a new ranking algorithm that utilizes a "Y*WAASB" biplot generated from the 'metan' package. The aim of the package is to effectively distinguish the top-ranked genotypes. For a detailed explanation of the process of obtaining a "Y*WAASB" biplot and the related data, please refer to the manual included in this package as well as the study by Olivoto & LĂșcio (2020) <doi:10.1111/2041-210X.13384>. In this context, "WAASB" refers to the "Weighted Average of Absolute Scores" provided by Olivoto et al. (2019) <doi:10.2134/agronj2019.03.0220>, which quantifies the stability of genotypes across different environments using linear mixed-effect models. In order to run the package, it is necessary to extract the "WAASB" coefficients using the 'metan' package.
License: GPL-3
URL: https://github.com/abeyran/Stability1
BugReports: https://github.com/abeyran/Stability1/issues
Depends: R (>= 3.5)
Imports: ggplot2, graphics
Suggests: car, metan, devtools, usethis, testthat, knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
Copyright: Ali Arminian.
Language: en-US
LazyData: true
LazyLoad: true
NeedsCompilation: no
Author: Ali Arminian [aut, cre, cph]
Packaged: 2024-08-23 13:19:02 UTC; Administrator
Repository: CRAN
Date/Publication: 2024-08-28 08:20:02 UTC

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New package neuroUp with initial version 0.3.1
Package: neuroUp
Title: Plan Sample Size for Task fMRI Research using Bayesian Updating
Version: 0.3.1
Description: Calculate the precision in mean differences (raw or Cohen's D) and correlation coefficients for different sample sizes. Uses permutations of the collected functional magnetic resonance imaging (fMRI) region of interest data. Method described in Klapwijk, Jongerling, Hoijtink and Crone (2024) <doi:10.31234/osf.io/cz32t>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Imports: dplyr, rlang, ggplot2, psychometric, tibble, magrittr, bootstrap
Suggests: knitr, readr, rmarkdown, testthat (>= 3.0.0), vdiffr
Depends: R (>= 2.10)
VignetteBuilder: knitr
URL: https://eduardklap.github.io/neuroUp/, https://github.com/eduardklap/neuroUp
BugReports: https://github.com/eduardklap/neuroUp/issues
Packaged: 2024-08-23 13:23:08 UTC; eduardklapwijk
Author: Eduard Klapwijk [aut, cre, cph] , Herbert Hoijtink [aut, cph] , Joran Jongerling [aut, cph]
Maintainer: Eduard Klapwijk <et.klapwijk@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-28 08:20:05 UTC

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New package IgorR with initial version 0.9.0
Package: IgorR
Title: Read Binary Files Saved by 'Igor Pro' (Including 'Neuromatic' Data)
Version: 0.9.0
Description: Provides function to read data from the 'Igor Pro' data analysis program by 'Wavemetrics'. The data formats supported are 'Igor' packed experiment format ('pxp') and 'Igor' binary wave ('ibw'). See: <https://www.wavemetrics.com/> for details. Also includes functions to load special 'pxp' files produced by the 'Igor Pro' 'Neuromatic' and 'Nclamp' packages for recording and analysing neuronal data. See <https://github.com/SilverLabUCL/NeuroMatic> for details.
Imports: bitops, tools, timechange
Suggests: spelling, testthat
License: GPL (>= 2)
LazyLoad: yes
Language: en-GB
Encoding: UTF-8
URL: https://github.com/jefferis/IgorR, https://jefferis.github.io/IgorR/
BugReports: https://github.com/jefferis/IgorR/issues
NeedsCompilation: no
Packaged: 2024-08-23 09:30:04 UTC; jefferis
Author: Gregory Jefferis [aut, cre] , Thomas Braun [ctb]
Maintainer: Gregory Jefferis <jefferis@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-28 08:20:09 UTC

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New package idiolect with initial version 1.0.1
Package: idiolect
Title: Forensic Authorship Analysis
Version: 1.0.1
Description: Carry out comparative authorship analysis of disputed and undisputed texts within the Likelihood Ratio Framework for expressing evidence in forensic science. This package contains implementations of well-known algorithms for comparative authorship analysis, such as Smith and Aldridge's (2011) Cosine Delta <doi:10.1080/09296174.2011.533591> or Koppel and Winter's (2014) Impostors Method <doi:10.1002/asi.22954>, as well as functions to measure their performance and to calibrate their outputs into Log-Likelihood Ratios.
License: GPL (>= 2)
URL: https://github.com/andreanini/idiolect, https://andreanini.github.io/idiolect/
BugReports: https://github.com/andreanini/idiolect/issues
Depends: quanteda, R (>= 3.5.0)
Imports: caret, dplyr, fdrtool, ggplot2, kgrams, pbapply, pROC, proxy, quanteda.textstats, spacyr, stringr, textclean
Suggests: knitr, readtext, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-24 20:41:00 UTC; mzjssan4
Author: Andrea Nini [aut, cre, cph] , David van Leeuwen [cph]
Maintainer: Andrea Nini <andrea.nini@manchester.ac.uk>
Repository: CRAN
Date/Publication: 2024-08-28 09:00:02 UTC

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New package hetsurrSurv with initial version 1.0
Package: hetsurrSurv
Title: Assessing Heterogeneity in Surrogacy Using Censored Data
Version: 1.0
Date: 2024-08-18
Description: Provides functions to assess and test for heterogeneity in the utility of a surrogate marker with respect to a baseline covariate using censored (survival data), and to test for heterogeneity across multiple time points. More details are available in Parast et al (2024) <doi:10.1002/sim.10122>.
License: GPL
Imports: stats, Rsurrogate, MASS, groc
NeedsCompilation: no
Packaged: 2024-08-23 11:11:25 UTC; parastlm
Author: Layla Parast [aut, cre]
Maintainer: Layla Parast <parast@austin.utexas.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-08-28 08:10:09 UTC

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Package frictionless updated to version 1.2.0 with previous version 1.1.0 dated 2024-03-29

Title: Read and Write Frictionless Data Packages
Description: Read and write Frictionless Data Packages. A 'Data Package' (<https://specs.frictionlessdata.io/data-package/>) is a simple container format and standard to describe and package a collection of (tabular) data. It is typically used to publish FAIR (<https://www.go-fair.org/fair-principles/>) and open datasets.
Author: Peter Desmet [aut, cre] ), Damiano Oldoni [aut] ), Pieter Huybrechts [aut] ), Sanne Govaert [aut] ), Kyle Husmann [ctb] , Research Institute for Nature and Forest [cph] , LifeWatch Belgium [fnd] , Beatriz Milz [rev] , Joao Martins [rev]
Maintainer: Peter Desmet <peter.desmet@inbo.be>

Diff between frictionless versions 1.1.0 dated 2024-03-29 and 1.2.0 dated 2024-08-28

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New package evola with initial version 1.0.1
Package: evola
Version: 1.0.1
Date: 2024-08-23
Title: Evolutionary Algorithm
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>
Description: Runs a genetic algorithm using the 'AlphaSimR' machinery <doi:10.1093/g3journal/jkaa017> and the coalescent simulator 'MaCS' <doi:10.1101/gr.083634.108>.
Depends: R(>= 3.5.0), AlphaSimR (>= 1.4.2), Matrix (>= 1.0), methods, crayon
LazyLoad: yes
LazyData: yes
License: GPL (>= 2)
NeedsCompilation: yes
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Repository: CRAN
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
Packaged: 2024-08-24 04:42:15 UTC; giovannycovarrubias
Date/Publication: 2024-08-28 08:40:02 UTC

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New package dbw with initial version 1.1.4
Package: dbw
Title: Doubly Robust Distribution Balancing Weighting Estimation
Version: 1.1.4
Description: Implements the doubly robust distribution balancing weighting proposed by Katsumata (2024) <doi:10.1017/psrm.2024.23>, which improves the augmented inverse probability weighting (AIPW) by estimating propensity scores with estimating equations suitable for the pre-specified parameter of interest (e.g., the average treatment effects or the average treatment effects on the treated) and estimating outcome models with the estimated inverse probability weights. It also implements the covariate balancing propensity score proposed by Imai and Ratkovic (2014) <doi:10.1111/rssb.12027> and the entropy balancing weighting proposed by Hainmueller (2012) <doi:10.1093/pan/mpr025>, both of which use covariate balancing conditions in propensity score estimation. The point estimate of the parameter of interest and its uncertainty as well as coefficients for propensity score estimation and outcome regression are produced using the M-estimation. The same functions can be used to estimate [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
Suggests: mgcv
URL: https://github.com/hirotokatsumata/dbw
BugReports: https://github.com/hirotokatsumata/dbw/issues
NeedsCompilation: no
Packaged: 2024-08-23 12:29:20 UTC; hkatsumata
Author: Hiroto Katsumata [aut, cre, cph]
Maintainer: Hiroto Katsumata <hrt.katsumata@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-28 08:10:16 UTC

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New package DataSum with initial version 0.1.0
Package: DataSum
Title: Comprehensive Data Summarization for Statistical Analysis
Version: 0.1.0
Description: Summarizing data frames by calculating various statistical measures, including measures of central tendency, dispersion, skewness(), kurtosis(), and normality tests. The package leverages the 'moments' package for calculating statistical moments and related measures, the 'dplyr' package for data manipulation, and the 'nortest' package for normality testing. 'DataSum' includes functions such as getmode() for finding the mode(s) of a data vector, shapiro_normality_test() for performing the Shapiro-Wilk test (Shapiro & Wilk 1965 <doi:10.1093/biomet/52.3-4.591>) (or the Anderson-Darling test when the data length is outside the valid range for the Shapiro-Wilk test) (Stephens 1974 <doi:10.1080/01621459.1974.10480196>), Datum() for generating a comprehensive summary of a data vector with various statistics (including data type, sample size, mean, mode, median, variance, standard deviation, maximum, minimum, range, skewness(), kurtosis(), and normality test result) (Joanes &am [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: moments, dplyr, nortest, stats
URL: https://github.com/Uzairkhan11w/DataSum
BugReports: https://github.com/Uzairkhan11w/DataSum/issues
NeedsCompilation: no
Packaged: 2024-08-24 12:30:19 UTC; Uzair
Author: Immad Ahmad Shah [aut], Uzair Javid Khan [aut, cre], Sukhdev Mishra [aut]
Maintainer: Uzair Javid Khan <uzairkhan11w@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-28 08:50:06 UTC

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New package capesData with initial version 0.0.1
Package: capesData
Title: Data on Scholarships in CAPES International Mobility Programs
Version: 0.0.1
Description: Information on activities to promote scholarships in Brazil and abroad for international mobility programs, recorded in Capes' computerized payment systems. The CAPES database refers to international mobility programs for the period from 2010 to 2019 <https://dadosabertos.capes.gov.br/dataset/>.
License: CC0
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2024-08-23 14:49:42 UTC; Usuario
Author: Leonardo Biazoli [aut, cre] , Mine Cetinkaya-Rundel [aut] , Eric Fernandes de Mello Araujo [aut] , Izabela R. Cardoso de Oliveira [aut]
Maintainer: Leonardo Biazoli <leonardobiazoli19@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-28 08:30:01 UTC

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New package bullseye with initial version 0.1.0
Package: bullseye
Title: Visualising Multiple Pairwise Variable Correlations and Other Scores
Version: 0.1.0
Description: We provide a tidy data structure and visualisations for multiple or grouped variable correlations, general association measures scagnostics and other pairwise scores suitable for numerical, ordinal and nominal variables. Supported measures include distance correlation, maximal information, ace correlation, Kendall's tau, and polychoric correlation.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, dplyr, cli, rlang, ggplot2, labeling, ggiraph, DendSer, tidyr, polycor
Suggests: DescTools, acepack, energy, linkspotter, minerva, scagnostics, testthat (>= 3.0.0), knitr, rmarkdown, correlation, palmerpenguins, kableExtra, openintro, corrplot
VignetteBuilder: knitr
URL: https://cbhurley.github.io/bullseye/, https://github.com/cbhurley/bullseye
NeedsCompilation: no
Packaged: 2024-08-23 16:19:50 UTC; catherine
Author: Amit Chinwan [aut], Catherine Hurley [aut, cre]
Maintainer: Catherine Hurley <catherine.hurley@mu.ie>
Repository: CRAN
Date/Publication: 2024-08-28 08:40:06 UTC

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New package bage with initial version 0.7.4
Package: bage
Title: Bayesian Estimation and Forecasting of Age-Specific Rates
Version: 0.7.4
Description: Fast Bayesian estimation and forecasting of age-specific rates, probabilities, and means, based on 'Template Model Builder'.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.3.0)
Imports: cli, generics, Matrix, matrixStats, methods, parallel, poputils, rvec, stats, tibble, TMB, utils, vctrs
Suggests: bookdown, dplyr, ggplot2, knitr, lifecycle, rmarkdown, testthat (>= 3.0.0), tidyr
LinkingTo: TMB, RcppEigen
VignetteBuilder: knitr
URL: https://bayesiandemography.github.io/bage/, https://github.com/bayesiandemography/bage
BugReports: https://github.com/bayesiandemography/bage/issues
NeedsCompilation: yes
Packaged: 2024-08-23 12:31:29 UTC; johnbryant
Author: John Bryant [aut, cre], Junni Zhang [aut], Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>
Repository: CRAN
Date/Publication: 2024-08-28 08:10:20 UTC

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Package portalr updated to version 0.4.2 with previous version 0.4.1 dated 2023-08-23

Title: Create Useful Summaries of the Portal Data
Description: Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Project. Portal is a long-term (and ongoing) experimental monitoring site in the Chihuahuan desert. The raw data files can be found at <https://github.com/weecology/portaldata>.
Author: Glenda M. Yenni [aut, cre] , Hao Ye [aut] , Erica M. Christensen [aut] , Juniper L. Simonis [aut] , Ellen K. Bledsoe [aut] , Renata M. Diaz [aut] , Shawn D. Taylor [aut] , Ethan P, White [aut] , S.K. Morgan Ernest [aut] , Weecology [cph]
Maintainer: Glenda M. Yenni <glenda@weecology.org>

Diff between portalr versions 0.4.1 dated 2023-08-23 and 0.4.2 dated 2024-08-28

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 34 files changed, 325 insertions(+), 274 deletions(-)

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New package MatrixHMM with initial version 1.0.0
Package: MatrixHMM
Title: Parsimonious Families of Hidden Markov Models for Matrix-Variate Longitudinal Data
Version: 1.0.0
Description: Implements three families of parsimonious hidden Markov models (HMMs) for matrix-variate longitudinal data using the Expectation-Conditional Maximization (ECM) algorithm. The package supports matrix-variate normal, t, and contaminated normal distributions as emission distributions. For each hidden state, parsimony is achieved through the eigen-decomposition of the covariance matrices associated with the emission distribution. This approach results in a comprehensive set of 98 parsimonious HMMs for each type of emission distribution. Atypical matrix detection is also supported, utilizing the fitted (heavy-tailed) models.
License: GPL (>= 3)
Encoding: UTF-8
Imports: data.table, doSNOW, foreach, LaplacesDemon, mclust, progress, snow, tensor, tidyr, withr
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-08-22 16:58:17 UTC; Daniele
Author: Salvatore D. Tomarchio [aut, cre]
Maintainer: Salvatore D. Tomarchio <daniele.tomarchio@unict.it>
Repository: CRAN
Date/Publication: 2024-08-28 08:00:06 UTC

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New package FishProxCompAnalyzer with initial version 0.1.0
Package: FishProxCompAnalyzer
Title: Proximate Composition Analysis of Fish and Feed Ingredients
Version: 0.1.0
Maintainer: Tanuj Misra <tanujmisra102@gmail.com>
Description: The proximate composition analysis is the quantification of main components that constitutes nutritional profile of any food and food products including fish, shellfish, fish feed and their ingredients. Understanding this composition is essential for evaluating their nutritional value and for making informed dietary choices. The primary components typically analyzed include; moisture/ water in foods, crude protein, crude fat/ lipid, total ash, fiber and carbohydrates AOAC(2005,ISBN:0-935584-77-3). In case of fish, shellfish and its products, the proximate composition consists of four primary constituents - water, protein, fat, and ash (mostly minerals). Fish exhibit significant variation in their chemical makeup based on age, sex, environment, and season, both within the same species and between individual fish. There is minimal fluctuation in the content of ash and protein. The lipid concentration varies remarkably and is inversely correlated with the water content. In case of fish, c [...truncated...]
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-23 05:50:14 UTC; PC
Author: Girija Saurabh Behere [aut, ctb, cph], Tanuj Misra [aut, cre, ctb, cph], Sudhanshu Raman [aut, ctb, cph], Ganesh Kumar [aut, ctb, cph], Anuj Tyagi [aut, ctb, cph], Abhishek Srivastava [aut, ctb, cph]
Repository: CRAN
Date/Publication: 2024-08-28 07:40:02 UTC

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Package unstruwwel updated to version 0.2.1 with previous version 0.2.0 dated 2022-08-31

Title: Detect and Parse Historic Dates
Description: Automatically converts language-specific verbal information, e.g., "1st half of the 19th century," to its standardized numerical counterparts, e.g., "1801-01-01/1850-12-31." It follows the recommendations of the 'MIDAS' ('Marburger Informations-, Dokumentations- und Administrations-System'), see <doi:10.11588/artdok.00003770>.
Author: Stefanie Schneider [cre, aut]
Maintainer: Stefanie Schneider <stefanie.schneider@itg.uni-muenchen.de>

Diff between unstruwwel versions 0.2.0 dated 2022-08-31 and 0.2.1 dated 2024-08-28

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Package SSN2 updated to version 0.2.1 with previous version 0.2.0 dated 2024-07-26

Title: Spatial Modeling on Stream Networks
Description: Spatial statistical modeling and prediction for data on stream networks, including models based on in-stream distance (Ver Hoef, J.M. and Peterson, E.E., (2010) <DOI:10.1198/jasa.2009.ap08248>.) Models are created using moving average constructions. Spatial linear models, including explanatory variables, can be fit with (restricted) maximum likelihood. Mapping and other graphical functions are included.
Author: Michael Dumelle [aut, cre] , Jay M. Ver Hoef [aut], Erin Peterson [aut], Alan Pearse [ctb], Dan Isaak [ctb]
Maintainer: Michael Dumelle <Dumelle.Michael@epa.gov>

Diff between SSN2 versions 0.2.0 dated 2024-07-26 and 0.2.1 dated 2024-08-28

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 R/partition.R                        |  108 +-
 R/predict_glm.R                      |  828 +++++++++---------
 R/print.SSN.R                        |   82 -
 R/random.R                           |  400 ++++----
 R/restruct_ssn_missing.R             |   36 
 R/transform_anis.R                   |   62 -
 R/use_gloglik.R                      |  242 ++---
 R/use_laploglik.R                    |  226 ++---
 R/utils.R                            |  164 +--
 README.md                            |   23 
 build/partial.rdb                    |binary
 build/vignette.rds                   |binary
 inst/CITATION                        |   52 -
 inst/doc/introduction.Rmd            | 1582 +++++++++++++++++------------------
 inst/doc/introduction.html           |   22 
 inst/references.bib                  | 1012 +++++++++++-----------
 man/reexports.Rd                     |    2 
 tests/testthat/helper-data.R         |   32 
 tests/testthat/test-Torgegram.R      |   90 -
 tests/testthat/test-dist_objects.R   |  254 ++---
 tests/testthat/test-extras-ssn_glm.R |  328 +++----
 tests/testthat/test-extras-ssn_lm.R  |  166 +--
 tests/testthat/test-ssn-object.R     |  228 ++---
 vignettes/introduction.Rmd           | 1582 +++++++++++++++++------------------
 64 files changed, 10240 insertions(+), 10210 deletions(-)

More information about SSN2 at CRAN
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