Thu, 21 Mar 2024

Package cvap updated to version 0.1.5 with previous version 0.1.4 dated 2023-07-01

Title: Citizen Voting Age Population
Description: Works with the Citizen Voting Age Population special tabulation from the US Census Bureau <https://www.census.gov/programs-surveys/decennial-census/about/voting-rights/cvap.html>. Provides tools to download and process raw data. Also provides a downloading interface to processed data. Implements a very basic approach to estimate block level citizen voting age population from block group data.
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>

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Package yardstick updated to version 1.3.1 with previous version 1.3.0 dated 2024-01-19

Title: Tidy Characterizations of Model Performance
Description: Tidy tools for quantifying how well model fits to a data set such as confusion matrices, class probability curve summaries, and regression metrics (e.g., RMSE).
Author: Max Kuhn [aut], Davis Vaughan [aut], Emil Hvitfeldt [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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Package StepReg updated to version 1.5.0 with previous version 1.4.4 dated 2022-12-17

Title: Stepwise Regression Analysis
Description: The stepwise regression analysis is a statistical technique used to identify a subset of predictor variables essential for constructing predictive models. This package performs stepwise regression analysis across various regression models such as linear, logistic, Cox proportional hazards, Poisson, and gamma regression. It incorporates diverse stepwise regression algorithms like forward selection, backward elimination, and bidirectional elimination alongside the best subset method. Additionally, it offers a wide range of selection criteria, including Akaike Information Criterion (AIC), corrected AIC (AICc), Sawa Bayesian Information Criterion (BIC), Schwarz Bayesian Information Criterion (SBC), Significant Levels (SL), among others. Moreover, it facilitates the concurrent selection of multiple methods and criteria for variable selection. For user-friendly exploration and analysis, StepReg provides an intuitive R Shiny app.
Author: Junhui Li [cre] , Junhui Li [aut] , Kai Hu [aut], Xiaohuan Lu [aut], Kun Cheng [ctb], Sushmita Nayak [ctb], Cesar Bautista Sotelo [ctb], Michael Lodato [ctb], Robert H Brown [ctb], Wenxin Liu [aut], Lihua Julie Zhu [aut]
Maintainer: Junhui Li <junhui.li11@umassmed.edu>

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Package lightr updated to version 1.7.1 with previous version 1.7.0 dated 2022-05-14

Title: Read Spectrometric Data and Metadata
Description: Parse various reflectance/transmittance/absorbance spectra file formats to extract spectral data and metadata, as described in Gruson, White & Maia (2019) <doi:10.21105/joss.01857>. Among other formats, it can import files from 'Avantes' <https://www.avantes.com/>, 'CRAIC' <https://www.microspectra.com/>, and 'OceanInsight' (formerly 'OceanOptics') <https://www.oceaninsight.com/> brands.
Author: Hugo Gruson [cre, aut, cph] , Rafael Maia [aut, cph] , Thomas White [aut, cph] , Kotya Karapetyan [ctb, cph] )
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>

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Package IncidencePrevalence updated to version 0.7.2 with previous version 0.7.1 dated 2024-02-22

Title: Estimate Incidence and Prevalence using the OMOP Common Data Model
Description: Calculate incidence and prevalence using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Incidence and prevalence can be estimated for the total population in a database or for a stratification cohort.
Author: Edward Burn [aut, cre] , Berta Raventos [aut] , Marti Catala [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Ger Inberg [ctb] , Kim Lopez [ctb]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package geonapi updated to version 0.7-2 with previous version 0.7-1 dated 2024-03-20

Title: 'GeoNetwork' API R Interface
Description: Provides an R interface to the 'GeoNetwork' API (<https://geonetwork-opensource.org/#api>) allowing to upload and publish metadata in a 'GeoNetwork' web-application and expose it to OGC CSW.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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Package crayons updated to version 0.0.3 with previous version 0.0.2 dated 2023-03-23

Title: Color Palettes from Crayon Boxes
Description: Provides color palettes based on crayon colors since the early 1900s. Colors are based on various crayon colors, sets, and promotional palettes, most of which can be found at <https://en.wikipedia.org/wiki/List_of_Crayola_crayon_colors>. All palettes are discrete palettes and are not necessarily color-blind friendly. Provides scales for 'ggplot2' for discrete coloring.
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>

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Package TOSTER updated to version 0.8.1 with previous version 0.8.0 dated 2023-09-14

Title: Two One-Sided Tests (TOST) Equivalence Testing
Description: Two one-sided tests (TOST) procedure to test equivalence for t-tests, correlations, differences between proportions, and meta-analyses, including power analysis for t-tests and correlations. Allows you to specify equivalence bounds in raw scale units or in terms of effect sizes. See: Lakens (2017) <doi:10.1177/1948550617697177>.
Author: Daniel Lakens [aut], Aaron Caldwell [aut, cre]
Maintainer: Aaron Caldwell <arcaldwell49@gmail.com>

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Package monitOS updated to version 0.1.5 with previous version 0.1.4 dated 2024-03-05

Title: Monitoring Overall Survival in Pivotal Trials in Indolent Cancers
Description: These guidelines are meant to provide a pragmatic, yet rigorous, help to drug developers and decision makers, since they are shaped by three fundamental ingredients: the clinically determined margin of detriment on OS that is unacceptably high (delta null); the benefit on OS that is plausible given the mechanism of action of the novel intervention (delta alt); and the quantity of information (i.e. survival events) it is feasible to accrue given the clinical and drug development setting. The proposed guidelines facilitate transparent discussions between stakeholders focusing on the risks of erroneous decisions and what might be an acceptable trade-off between power and the false positive error rate.
Author: Thomas Fleming [ctb], Lisa Hampson [aut], Bharani Bharani-Dharan [ctb], Frank Bretz [ctb], Arunava Chakravartty [ctb], Thibaud Coroller [aut, cre], Evanthia Koukouli [aut], Janet Wittes [ctb], Nigel Yateman [ctb], Emmanuel Zuber [ctb], Novartis Pharm [...truncated...]
Maintainer: Thibaud Coroller <thibaud.coroller@novartis.com>

Diff between monitOS versions 0.1.4 dated 2024-03-05 and 0.1.5 dated 2024-03-21

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Package stacks updated to version 1.0.4 with previous version 1.0.3 dated 2023-11-06

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], Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>

Diff between stacks versions 1.0.3 dated 2023-11-06 and 1.0.4 dated 2024-03-21

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Package Families updated to version 2.0.0 with previous version 1.0.1 dated 2022-07-08

Title: Kinship Ties in (Virtual) Multi-Generation Populations
Description: Tools to study lineages, grandparenthood, loss of close relatives, kinship networks and other topics in multi-generation populations.
Author: Frans Willekens [aut, cre]
Maintainer: Frans Willekens <willekens@nidi.nl>

Diff between Families versions 1.0.1 dated 2022-07-08 and 2.0.0 dated 2024-03-21

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New package esci with initial version 1.0.2
Package: esci
Title: Estimation Statistics with Confidence Intervals
Version: 1.0.2
Description: A collection of functions and 'jamovi' module for the estimation approach to inferential statistics, the approach which emphasizes effect sizes, interval estimates, and meta-analysis. Nearly all functions are based on 'statpsych' and 'metafor'. This package is still under active development, and breaking changes are likely, especially with the plot and hypothesis test functions. Data sets are included for all examples from Cumming & Calin-Jageman (2024) <ISBN:9780367531508>.
BugReports: https://github.com/rcalinjageman/esci
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: jmvcore (>= 0.8.5), R6, rlang, methods, stats, multcomp, sadists, statpsych, metafor, ggplot2, ggdist, ggh4x, ggtext, ggbeeswarm, glue, Rdpack, stringr, mathjaxr
Suggests: testthat (>= 3.0.0)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-03-20 16:08:27 UTC; rcalinjageman
Author: Robert Calin-Jageman [aut, cre, cph]
Maintainer: Robert Calin-Jageman <rcalinjageman@dom.edu>
Repository: CRAN
Date/Publication: 2024-03-21 18:10:02 UTC

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New package SchoolDataIT with initial version 0.1.0
Package: SchoolDataIT
Title: Retrieve, Harmonise and Map Open Data Regarding the Italian School System
Version: 0.1.0
Author: Leonardo Cefalo [aut, cre] , Alessio Pollice [ctb, ths] , Paolo Maranzano [ctb]
Maintainer: Leonardo Cefalo <leonardo.cefalo@uniba.it>
Description: Compiles and displays the available data sets regarding the Italian school system, with a focus on the infrastructural aspects. Input datasets are downloaded from the web, with the aim of updating everything to real time. The functions are divided in four main modules, namely 'Get', to scrape raw data from the web 'Util', various utilities needed to process raw data 'Group', to aggregate data at the municipality or province level 'Map', to visualize the output datasets.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: curl, dplyr, ggplot2, grDevices, httr, leafpop, magrittr, mapview, readr, readxl, rlang, rvest, sf, stringr, tidyr, utils, xml2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyverse
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-03-20 15:04:00 UTC; Leonardo
Repository: CRAN
Date/Publication: 2024-03-21 18:00:05 UTC

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Package rgm updated to version 1.0.4 with previous version 1.0.3 dated 2024-03-12

Title: Advanced Inference with Random Graphical Models
Description: Implements state-of-the-art Random Graphical Models (RGMs) for multivariate data analysis across multiple environments, offering tools for exploring network interactions and structural relationships. Capabilities include joint inference across environments, integration of external covariates, and a Bayesian framework for uncertainty quantification. Applicable in various fields, including microbiome analysis. Methods based on Vinciotti, V., Wit, E., & Richter, F. (2023). "Random Graphical Model of Microbiome Interactions in Related Environments." <arXiv:2304.01956>.
Author: Francisco Richter [aut, cre], Veronica Vinciotti [ctb], Ernst Wit [ctb]
Maintainer: Francisco Richter <richtf@usi.ch>

Diff between rgm versions 1.0.3 dated 2024-03-12 and 1.0.4 dated 2024-03-21

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Package psbcSpeedUp updated to version 2.0.6 with previous version 2.0.5 dated 2023-12-08

Title: Penalized Semiparametric Bayesian Cox Models
Description: Algorithms to speed up the Bayesian Lasso Cox model (Lee et al., Int J Biostat, 2011 <doi:10.2202/1557-4679.1301>) and the Bayesian Lasso Cox with mandatory variables (Zucknick et al. Biometrical J, 2015 <doi:10.1002/bimj.201400160>).
Author: Zhi Zhao [aut, cre], Manuela Zucknick [aut], Maral Saadati [aut], Axel Benner [aut]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>

Diff between psbcSpeedUp versions 2.0.5 dated 2023-12-08 and 2.0.6 dated 2024-03-21

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Package mult.latent.reg updated to version 0.1.7 with previous version 0.1.6 dated 2024-02-17

Title: Regression and Clustering in Multivariate Response Scenarios
Description: Fitting multivariate response models with random effects on one or two levels; whereby the (one-dimensional) random effect represents a latent variable approximating the multivariate space of outcomes, after possible adjustment for covariates. The method is particularly useful for multivariate, highly correlated outcome variables with unobserved heterogeneities. Applications include regression with multivariate responses, as well as multivariate clustering or ranking problems. See Zhang and Einbeck (2024) <doi:10.1007/s42519-023-00357-0>.
Author: Yingjuan Zhang [aut, cre], Jochen Einbeck [aut, ctb]
Maintainer: Yingjuan Zhang <yingjuan.zhang@durham.ac.uk>

Diff between mult.latent.reg versions 0.1.6 dated 2024-02-17 and 0.1.7 dated 2024-03-21

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New package causalHyperGraph with initial version 0.1.0
Package: causalHyperGraph
Title: Drawing Causal Hypergraphs
Version: 0.1.0
Date: 2024-03-18
Author: Christoph Falk [aut, cph], Mathias Ambuehl [aut, cre], Michael Baumgartner [aut]
Imports: DiagrammeR, DiagrammeRsvg, stringr, useful, cna, utils
Maintainer: Mathias Ambuehl <mathias.ambuehl@consultag.ch>
Description: Draws causal hypergraph plots from models output by configurational comparative methods such as Coincidence Analysis (CNA) or Qualitative Comparative Analysis (QCA).
Encoding: UTF-8
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-03-20 14:59:08 UTC; MAM
Repository: CRAN
Date/Publication: 2024-03-21 17:40:05 UTC

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Package visOmopResults updated to version 0.2.0 with previous version 0.1.1 dated 2024-03-12

Title: Graphs and Tables for OMOP Results
Description: Provides methods to transform omop_result objects into formatted tables and figures, facilitating the visualization of study results working with the Observational Medical Outcomes Partnership (OMOP) Common Data Model.
Author: Marti Catala [aut] , Nuria Mercade-Besora [aut, cre]
Maintainer: Nuria Mercade-Besora <nuria.mercadebesora@ndorms.ox.ac.uk>

Diff between visOmopResults versions 0.1.1 dated 2024-03-12 and 0.2.0 dated 2024-03-21

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New package powerPLS with initial version 0.1.0
Package: powerPLS
Title: Power Analysis for PLS Classification
Version: 0.1.0
Description: It estimates power and sample size for Partial Least Squares-based methods described in Andreella, et al., (2024) <arXiv:2403.10289>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: compositions, ks, mvtnorm, simukde, nipals, MASS, foreach
Language: en-US
BugReports: https://github.com/angeella/powerPLS/issues
URL: https://github.com/angeella/powerPLS
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-03-20 10:02:37 UTC; Andreella
Author: Angela Andreella [aut, cre]
Maintainer: Angela Andreella <angela.andreella@unive.it>
Repository: CRAN
Date/Publication: 2024-03-21 16:40:02 UTC

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Package MagmaClustR updated to version 1.2.0 with previous version 1.1.2 dated 2023-05-23

Title: Clustering and Prediction using Multi-Task Gaussian Processes with Common Mean
Description: An implementation for the multi-task Gaussian processes with common mean framework. Two main algorithms, called 'Magma' and 'MagmaClust', are available to perform predictions for supervised learning problems, in particular for time series or any functional/continuous data applications. The corresponding articles has been respectively proposed by Arthur Leroy, Pierre Latouche, Benjamin Guedj and Servane Gey (2022) <doi:10.1007/s10994-022-06172-1>, and Arthur Leroy, Pierre Latouche, Benjamin Guedj and Servane Gey (2023) <https://jmlr.org/papers/v24/20-1321.html>. Theses approaches leverage the learning of cluster-specific mean processes, which are common across similar tasks, to provide enhanced prediction performances (even far from data) at a linear computational cost (in the number of tasks). 'MagmaClust' is a generalisation of 'Magma' where the tasks are simultaneously clustered into groups, each being associated to a specific mean process. User-oriented functions in th [...truncated...]
Author: Arthur Leroy [aut, cre] , Pierre Latouche [aut], Pierre Pathe [ctb], Alexia Grenouillat [ctb], Hugo Lelievre [ctb]
Maintainer: Arthur Leroy <arthur.leroy.pro@gmail.com>

Diff between MagmaClustR versions 1.1.2 dated 2023-05-23 and 1.2.0 dated 2024-03-21

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Package exvatools updated to version 0.7.0 with previous version 0.6.0 dated 2024-01-25

Title: Value Added in Exports and Other Input-Output Table Analysis Tools
Description: Analysis of trade in value added with international input-output tables. Includes commands for easy data extraction, matrix manipulation, decomposition of value added in gross exports and calculation of value added indicators, with full geographical and sector customization. Decomposition methods include Borin and Mancini (2023) <doi:10.1080/09535314.2022.2153221>, Miroudot and Ye (2021) <doi:10.1080/09535314.2020.1730308>, Wang et al. (2013) <https://econpapers.repec.org/paper/nbrnberwo/19677.htm> and Koopman et al. (2014) <doi:10.1257/aer.104.2.459>.
Author: Enrique Feas [aut, cre]
Maintainer: Enrique Feas <efeas@runbox.com>

Diff between exvatools versions 0.6.0 dated 2024-01-25 and 0.7.0 dated 2024-03-21

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New package dupiR with initial version 1.2.1
Package: dupiR
Title: Bayesian Inference from Count Data using Discrete Uniform Priors
Version: 1.2.1
Date: 2024-03-17
Depends: R (>= 2.15.1), methods
Author: Federico Comoglio [aut, cre], Maurizio Rinaldi [aut]
Maintainer: Federico Comoglio <federico.comoglio@gmail.com>
Description: We consider a set of sample counts obtained by sampling arbitrary fractions of a finite volume containing an homogeneously dispersed population of identical objects. This package implements a Bayesian derivation of the posterior probability distribution of the population size using a binomial likelihood and non-conjugate, discrete uniform priors under sampling with or without replacement. This can be used for a variety of statistical problems involving absolute quantification under uncertainty. See Comoglio et al. (2013) <doi:10.1371/journal.pone.0074388>.
License: GPL-2
LazyLoad: yes
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: graphics, plotrix, stats, utils
NeedsCompilation: no
Packaged: 2024-03-20 08:27:37 UTC; federicocomoglio
Repository: CRAN
Date/Publication: 2024-03-21 16:20:05 UTC

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Package immer updated to version 1.5-13 with previous version 1.4-15 dated 2022-08-22

Title: Item Response Models for Multiple Ratings
Description: Implements some item response models for multiple ratings, including the hierarchical rater model, conditional maximum likelihood estimation of linear logistic partial credit model and a wrapper function to the commercial FACETS program. See Robitzsch and Steinfeld (2018) for a description of the functionality of the package. See Wang, Su and Qiu (2014; <doi:10.1111/jedm.12045>) for an overview of modeling alternatives.
Author: Alexander Robitzsch [aut, cre], Jan Steinfeld [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between immer versions 1.4-15 dated 2022-08-22 and 1.5-13 dated 2024-03-21

 DESCRIPTION                              |    8 -
 MD5                                      |  215 +++++++++++++++----------------
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 R/RcppExports.R                          |    2 
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 R/anova_immer.R                          |   22 +--
 R/immer_FACETS.R                         |   54 +++++--
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Package workflowsets updated to version 1.1.0 with previous version 1.0.1 dated 2023-04-06

Title: Create a Collection of 'tidymodels' Workflows
Description: A workflow is a combination of a model and preprocessors (e.g, a formula, recipe, etc.) (Kuhn and Silge (2021) <https://www.tmwr.org/>). In order to try different combinations of these, an object can be created that contains many workflows. There are functions to create workflows en masse as well as training them and visualizing the results.
Author: Max Kuhn [aut] , Simon Couch [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>

Diff between workflowsets versions 1.0.1 dated 2023-04-06 and 1.1.0 dated 2024-03-21

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New package tntpr with initial version 1.0.2
Package: tntpr
Title: Data Analysis Tools Customized for TNTP
Version: 1.0.2
Description: An assortment of functions and templates customized to meet the needs of data analysts at the non-profit organization TNTP. Includes functions for branded colors and plots, credentials management, repository set-up, and other common analytic tasks.
License: CC BY 4.0
URL: https://github.com/tntp/tntpr, https://tntp.github.io/tntpr/
Depends: R (>= 3.2)
Imports: cli, dplyr (>= 0.8.3), extrafont, formattable, ggplot2 (>= 3.2.1), grDevices, grid, janitor, keyring, labelled, lubridate (>= 1.7.4), magrittr (>= 1.5), purrr (>= 0.3.3), readr, rlang, rstudioapi, scales, stringr (>= 1.4.0), tibble (>= 2.1.3), tidyr (>= 1.0.0), tidyselect
Suggests: devtools, knitr, rmarkdown, testthat (>= 3.0.0), usethis, ggridges, ggalt, forcats, qualtRics, haven
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-03-19 18:44:57 UTC; SamTalcott
Author: Dustin Pashouwer [aut, cre], Sam Firke [aut], Shane Orr [aut], Sam Talcott [aut]
Maintainer: Dustin Pashouwer <dustin.pashouwer@tntp.org>
Repository: CRAN
Date/Publication: 2024-03-21 14:50:02 UTC

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New package spANOVA with initial version 0.99.4
Package: spANOVA
Title: Analysis of Field Trials with Geostatistics & Spatial AR Models
Version: 0.99.4
Description: Perform analysis of variance when the experimental units are spatially correlated. There are two methods to deal with spatial dependence: Spatial autoregressive models (see Rossoni, D. F., & Lima, R. R. (2019) <doi:10.28951/rbb.v37i2.388>) and geostatistics (see Pontes, J. M., & Oliveira, M. S. D. (2004) <doi:10.1590/S1413-70542004000100018>). For both methods, there are three multicomparison procedure available: Tukey, multivariate T, and Scott-Knott.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10), stats, utils, graphics, geoR, shiny
Imports: MASS, Matrix, ScottKnott, car, gtools, multcomp, multcompView, mvtnorm, DT, shinyBS, xtable, shinythemes, rmarkdown, knitr, spdep, ape, spatialreg, shinycssloaders
NeedsCompilation: no
Packaged: 2024-03-19 06:37:39 UTC; lucas
Author: Castro L. R. [aut, cre, cph], Renato R. R. [aut, ths], Rossoni D. F. [aut], Nogueira C.H. [aut]
Maintainer: Castro L. R. <lucasroberto.castro@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-21 14:30:02 UTC

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Package SimplyAgree updated to version 0.2.0 with previous version 0.1.2 dated 2022-12-14

Title: Flexible and Robust Agreement and Reliability Analyses
Description: Reliability and agreement analyses often have limited software support. Therefore, this package was created to make agreement and reliability analyses easier for the average researcher. The functions within this package include simple tests of agreement, agreement analysis for nested and replicate data, and provide robust analyses of reliability. In addition, this package contains a set of functions to help when planning studies looking to assess measurement agreement.
Author: Aaron Caldwell [aut, cre]
Maintainer: Aaron Caldwell <arcaldwell49@gmail.com>

Diff between SimplyAgree versions 0.1.2 dated 2022-12-14 and 0.2.0 dated 2024-03-21

 DESCRIPTION                           |   15 
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 NAMESPACE                             |  229 +--
 NEWS.md                               |  101 -
 R/00jmv.R                             |   36 
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 R/methods.simple_reli.R               |  224 +--
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 R/other_functions.R                   | 1143 ++++++++---------
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 R/quantile_funs.R                     |  168 +-
 R/reli_functions.R                    |  167 +-
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 tests/testthat/test-agree_np.R        |  256 +--
 tests/testthat/test-agree_reps.R      |  309 ++--
 tests/testthat/test-blandPowerCurve.R |  213 +--
 tests/testthat/test-dem_reg.R         |  156 +-
 tests/testthat/test-loa_lme.R         |  205 ++-
 tests/testthat/test-loa_mixed.R       |  170 +-
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 118 files changed, 18457 insertions(+), 17483 deletions(-)

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New package sfislands with initial version 1.0.0
Package: sfislands
Title: Streamlines the Process of Fitting Areal Spatial Models
Version: 1.0.0
Maintainer: Kevin Horan <kevin.horan.2021@mumail.ie>
Description: Helpers for addressing the issue of disconnected spatial units. It allows for convenient adding and removal of neighbourhood connectivity between areal units prior to modelling, with the visual aid of maps. Post-modelling, it reduces the human workload for extracting, tidying and mapping predictions from areal models.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, methods, purrr, sf, spdep, stats, stringr, tidyr, broom.mixed
Suggests: mgcv, testthat (>= 3.0.0)
URL: https://github.com/horankev/sfislands, https://horankev.github.io/sfislands/
BugReports: https://github.com/horankev/sfislands/issues
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-03-19 21:03:46 UTC; kevinhoran
Author: Kevin Horan [aut, cre, cph] , Katarina Domijan [aut, ths] , Chris Brunsdon [aut, ths]
Repository: CRAN
Date/Publication: 2024-03-21 15:00:02 UTC

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New package MSmix with initial version 1.0.0
Package: MSmix
Title: Finite Mixtures of Mallows Models with Spearman Distance for Full and Partial Rankings
Version: 1.0.0
Maintainer: Cristina Mollica <cristina.mollica@uniroma1.it>
Description: Fit and analysis of finite Mixtures of Mallows models with Spearman Distance for full and partial rankings with arbitrary missing positions. Inference is conducted within the maximum likelihood framework via Expectation-Maximization algorithms. Estimation uncertainty is tackled via diverse versions of bootstrapping as well as via Hessian-based standard errors calculations. The most relevant reference of the methods is Crispino, Mollica, Astuti and Tardella (2023) <doi:10.1007/s11222-023-10266-8>.
License: GPL (>= 3)
Repository: CRAN
LinkingTo: Rcpp
Imports: BayesMallows (>= 2.0.1), bmixture (>= 1.7.0), data.table (>= 1.15.0), dplyr (>= 1.1.4), factoextra (>= 1.0.7), fields (>= 15.2.0), foreach (>= 1.5.2), ggbump (>= 0.1.0), ggplot2 (>= 3.4.4), gridExtra (>= 2.3.0), methods (>= 4.3.1), Rankcluster (>= 0.98.0), RColorBrewer (>= 1.1.3), Rcpp (>= 1.0.12), reshape (>= 0.8.9), rlang (>= 1.1.3), spsUtil (>= 0.2.2), stats (>= 4.3.1), stringr (>= 1.5.1)
Depends: R (>= 4.3.0)
Suggests: doParallel
NeedsCompilation: yes
Author: Cristina Mollica [aut, cre, cph] , Marta Crispino [aut, cph] , Lucia Modugno [ctb] , Luca Tardella [ctb]
LazyData: true
Encoding: UTF-8
Packaged: 2024-03-19 00:19:26 UTC; cristina
Date/Publication: 2024-03-21 14:30:09 UTC

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New package mpae with initial version 0.1.2
Package: mpae
Title: Metodos Predictivos de Aprendizaje Estadistico (Statistical Learning Predictive Methods)
Version: 0.1.2
Date: 2024-03-19
Maintainer: Ruben Fernandez-Casal <rubenfcasal@gmail.com>
Depends: R (>= 3.5.0), graphics
Imports: caret, RcmdrMisc
Suggests: car, gbm, leaps, lmtest, glmnet, mgcv, np, NeuralNetTools, pdp, vivid, plot3D, AppliedPredictiveModeling, ISLR
Description: Functions and datasets used in the book: Fernandez-Casal, R., Costa, J. and Oviedo-de la Fuente, M. (2024) "Metodos predictivos de aprendizaje estadistico" <https://rubenfcasal.github.io/aprendizaje_estadistico/>.
License: GPL (>= 2)
URL: https://github.com/rubenfcasal/mpae
BugReports: https://github.com/rubenfcasal/mpae/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-03-19 17:50:29 UTC; ruben.fcasal
Author: Ruben Fernandez-Casal [aut, cre] , Manuel Oviedo-de la Fuente [aut] , Julian Costa-Bouzas [aut]
Repository: CRAN
Date/Publication: 2024-03-21 14:40:02 UTC

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New package LocalCop with initial version 0.0.1
Package: LocalCop
Title: Local Likelihood Inference for Conditional Copula Models
Version: 0.0.1
Date: 2024-03-18
Description: Implements a local likelihood estimator for the dependence parameter in bivariate conditional copula models. Copula family and local likelihood bandwidth parameters are selected by leave-one-out cross-validation. The models are implemented in 'TMB', meaning that the local score function is efficiently calculated via automated differentiation (AD), such that quasi-Newton algorithms may be used for parameter estimation.
URL: https://github.com/mlysy/LocalCop
BugReports: https://github.com/mlysy/LocalCop/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
LinkingTo: TMB, RcppEigen
Imports: TMB (>= 1.7.20), VineCopula
Suggests: testthat, parallel, knitr, rmarkdown, bookdown, kableExtra, dplyr, readr, tidyr, ggplot2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-03-19 20:54:14 UTC; mlysy
Author: Elif Acar [aut], Martin Lysy [aut, cre], Alan Kuchinsky [ctb]
Maintainer: Martin Lysy <mlysy@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2024-03-21 14:50:06 UTC

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New package geoperu with initial version 0.0.0.1
Package: geoperu
Title: Download Spatial Datasets of Peru
Version: 0.0.0.1
Description: Provides convenient access to the official spatial datasets of Peru as 'sf' objects in R. This package includes a wide range of geospatial data covering various aspects of Peruvian geography, such as administrative divisions (Source: INEI <https://ide.inei.gob.pe/>). All datasets are harmonized in terms of attributes, projection, and topology, ensuring consistency and ease of use for spatial analysis and visualization.
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
BugReports: https://github.com/PaulESantos/geoperu/issues
Depends: R (>= 3.6.0)
LazyDataCompression: xz
LazyData: true
URL: https://github.com/PaulESantos/geoperu, https://paulesantos.github.io/geoperu/
Imports: curl, data.table, httr, methods, sf
NeedsCompilation: no
Packaged: 2024-03-19 21:14:11 UTC; paule
Author: Paul E. Santos Andrade [aut, cre]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-21 15:00:06 UTC

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Package fhircrackr updated to version 2.2.0 with previous version 2.1.1 dated 2023-02-10

Title: Handling HL7 FHIR® Resources in R
Description: Useful tools for conveniently downloading FHIR resources in xml format and converting them to R data.frames. The package uses FHIR-search to download bundles from a FHIR server, provides functions to save and read xml-files containing such bundles and allows flattening the bundles to data.frames using XPath expressions. FHIR® is the registered trademark of HL7 and is used with the permission of HL7. Use of the FHIR trademark does not constitute endorsement of this product by HL7.
Author: Thomas Peschel [aut], Julia Palm [aut, cre] , Jens Przybilla [aut], Frank Meineke [aut]
Maintainer: Julia Palm <julia.palm@med.uni-jena.de>

Diff between fhircrackr versions 2.1.1 dated 2023-02-10 and 2.2.0 dated 2024-03-21

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Permanent link

New package designit with initial version 0.5.0
Package: designit
Title: Blocking and Randomization for Experimental Design
Version: 0.5.0
Description: Intelligently assign samples to batches in order to reduce batch effects. Batch effects can have a significant impact on data analysis, especially when the assignment of samples to batches coincides with the contrast groups being studied. By defining a batch container and a scoring function that reflects the contrasts, this package allows users to assign samples in a way that minimizes the potential impact of batch effects on the comparison of interest. Among other functionality, we provide an implementation for OSAT score by Yan et al. (2012, <doi:10.1186/1471-2164-13-689>).
License: MIT + file LICENSE
URL: https://bedapub.github.io/designit/, https://github.com/BEDApub/designit/
BugReports: https://github.com/BEDApub/designit/issues
Depends: R (>= 4.1.0)
Imports: rlang (>= 0.4.0), dplyr (>= 1.0.0), purrr, ggplot2, scales, tibble, tidyr, assertthat, stringr, R6, data.table, stats
Suggests: testthat, roxygen2, pkgdown, knitr, markdown, rmarkdown, gt, bench, OSAT, tidyverse, printr, devtools (>= 2.0.0), ggpattern, cowplot, bestNormalize, here
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-19 09:27:56 UTC; davydovi
Author: Iakov I. Davydov [aut, cre, cph] , Juliane Siebourg-Polster [aut, cph] , Guido Steiner [aut, cph], Konrad Rudolph [ctb] , Jitao David Zhang [aut, cph] , Balazs Banfai [aut, cph] , F. Hoffman-La Roche [cph, fnd]
Maintainer: Iakov I. Davydov <iakov.davydov@roche.com>
Repository: CRAN
Date/Publication: 2024-03-21 14:30:05 UTC

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Package BayesMultiMode updated to version 0.7.1 with previous version 0.7.0 dated 2024-02-05

Title: Bayesian Mode Inference
Description: A two-step Bayesian approach for mode inference following Cross, Hoogerheide, Labonne and van Dijk (2024) <doi:10.1016/j.econlet.2024.111579>). First, a mixture distribution is fitted on the data using a sparse finite mixture (SFM) Markov chain Monte Carlo (MCMC) algorithm. The number of mixture components does not have to be known; the size of the mixture is estimated endogenously through the SFM approach. Second, the modes of the estimated mixture at each MCMC draw are retrieved using algorithms specifically tailored for mode detection. These estimates are then used to construct posterior probabilities for the number of modes, their locations and uncertainties, providing a powerful tool for mode inference.
Author: Nalan Bastuerk [aut], Jamie Cross [aut], Peter de Knijff [aut], Lennart Hoogerheide [aut], Paul Labonne [aut, cre], Herman van Dijk [aut]
Maintainer: Paul Labonne <paul.labonne@bi.no>

Diff between BayesMultiMode versions 0.7.0 dated 2024-02-05 and 0.7.1 dated 2024-03-21

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Package arcgeocoder updated to version 0.2.0 with previous version 0.1.0 dated 2024-01-15

Title: Geocoding with the 'ArcGIS' REST API Service
Description: Lite interface for finding locations of addresses or businesses around the world using the 'ArcGIS' REST API service <https://developers.arcgis.com/rest/geocode/api-reference/overview-world-geocoding-service.htm>. Address text can be converted to location candidates and a location can be converted into an address. No API key required.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between arcgeocoder versions 0.1.0 dated 2024-01-15 and 0.2.0 dated 2024-03-21

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Package vars updated to version 1.6-1 with previous version 1.6-0 dated 2023-12-01

Title: VAR Modelling
Description: Estimation, lag selection, diagnostic testing, forecasting, causality analysis, forecast error variance decomposition and impulse response functions of VAR models and estimation of SVAR and SVEC models.
Author: Bernhard Pfaff [aut, cre], Matthieu Stigler [ctb]
Maintainer: Bernhard Pfaff <bernhard@pfaffikus.de>

Diff between vars versions 1.6-0 dated 2023-12-01 and 1.6-1 dated 2024-03-21

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Package rqti updated to version 0.1.1 with previous version 0.1.0 dated 2024-03-19

Title: Create Tests According to QTI 2.1 Standard
Description: Create tests and tasks compliant with the Question & Test Interoperability (QTI) information model version 2.1. Input sources are Rmd/md description files or S4-class objects. Output formats include standalone zip or xml files. Supports the generation of basic task types (single and multiple choice, order, pair association, matching tables, filling gaps and essay) and provides a comprehensive set of attributes for customizing tests.
Author: Andrey Shevandrin [aut, cre, cph] , Petr Bondarenko [ctb] , Ivonne Ojeda [ctb], Johannes Titz [aut, cph] , Brian Mottershead [cph] , Stiftung fuer Innovation in der Hochschullehre [fnd]
Maintainer: Andrey Shevandrin <shevandrin@gmail.com>

Diff between rqti versions 0.1.0 dated 2024-03-19 and 0.1.1 dated 2024-03-21

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Package ThresholdROC updated to version 2.9.3 with previous version 2.9.2 dated 2023-08-29

Title: Optimum Threshold Estimation
Description: Functions that provide point and interval estimations of optimum thresholds for continuous diagnostic tests. The methodology used is based on minimizing an overall cost function in the two- and three-state settings. We also provide functions for sample size determination and estimation of diagnostic accuracy measures. We also include graphical tools. The statistical methodology used here can be found in Perez-Jaume et al (2017) <doi:10.18637/jss.v082.i04> and in Skaltsa et al (2010, 2012) <doi:10.1002/bimj.200900294>, <doi:10.1002/sim.4369>.
Author: Sara Perez-Jaume [aut, cre], Natalia Pallares [aut], Konstantina Skaltsa [aut]
Maintainer: Sara Perez-Jaume <spjaume@gmail.com>

Diff between ThresholdROC versions 2.9.2 dated 2023-08-29 and 2.9.3 dated 2024-03-21

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Package shinyWidgets updated to version 0.8.3 with previous version 0.8.2 dated 2024-03-01

Title: Custom Inputs Widgets for Shiny
Description: Collection of custom input controls and user interface components for 'Shiny' applications. Give your applications a unique and colorful style !
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], David Granjon [aut], Ian Fellows [ctb] , Wil Davis [ctb] , Spencer Matthews [ctb] , JavaScript and CSS libraries authors [ctb, cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package sbtools updated to version 1.3.2 with previous version 1.3.1 dated 2024-01-09

Title: USGS ScienceBase Tools
Description: Tools for interacting with U.S. Geological Survey ScienceBase <https://www.sciencebase.gov> interfaces. ScienceBase is a data cataloging and collaborative data management platform. Functions included for querying ScienceBase, and creating and fetching datasets.
Author: David Blodgett [cre], Luke Winslow [aut], Scott Chamberlain [ctb], Alison Appling [ctb], Jordan Read [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

Diff between sbtools versions 1.3.1 dated 2024-01-09 and 1.3.2 dated 2024-03-21

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Package Andromeda updated to version 0.6.6 with previous version 0.6.5 dated 2024-01-22

Title: Asynchronous Disk-Based Representation of Massive Data
Description: Storing very large data objects on a local drive, while still making it possible to manipulate the data in an efficient manner.
Author: Adam Black [aut], Egill Fridgeirsson [aut], Martijn Schuemie [aut, cre], Marc A. Suchard [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package rollama updated to version 0.0.3 with previous version 0.0.2 dated 2024-01-29

Title: Communicate with 'Ollama'
Description: Wraps the 'Ollama' <https://ollama.com> API, which can be used to communicate with generative large language models locally.
Author: Johannes B. Gruber [aut, cre] , Maximilian Weber [aut, ctb]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>

Diff between rollama versions 0.0.2 dated 2024-01-29 and 0.0.3 dated 2024-03-21

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Package ggprism updated to version 1.0.5 with previous version 1.0.4 dated 2022-11-04

Title: A 'ggplot2' Extension Inspired by 'GraphPad Prism'
Description: Provides various themes, palettes, and other functions that are used to customise ggplots to look like they were made in 'GraphPad Prism'. The 'Prism'-look is achieved with theme_prism() and scale_fill|colour_prism(), axes can be changed with custom guides like guide_prism_minor(), and significance indicators added with add_pvalue().
Author: Charlotte Dawson [aut, cre]
Maintainer: Charlotte Dawson <csdaw@outlook.com>

Diff between ggprism versions 1.0.4 dated 2022-11-04 and 1.0.5 dated 2024-03-21

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Package ThresholdROCsurvival updated to version 1.2.1 with previous version 1.2.0 dated 2023-11-08

Title: Diagnostic Ability Assessment with Right-Censored Data at a Fixed Time t
Description: We focus on the diagnostic ability assessment of medical tests when the outcome of interest is the status (alive or dead) of the subjects at a certain time-point t. This binary status is determined by right-censored times to event and it is unknown for those subjects censored before t. Here we provide three methods (unknown status exclusion, imputation of censored times and using time-dependent ROC curves) to evaluate the diagnostic ability of binary and continuous tests in this context. Two references for the methods used here are Skaltsa et al. (2010) <doi:10.1002/bimj.200900294> and Heagerty et al. (2000) <doi:10.1111/j.0006-341x.2000.00337.x>.
Author: Sara Perez-Jaume [aut, cre], Josep L Carrasco [aut]
Maintainer: Sara Perez-Jaume <spjaume@gmail.com>

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Package SCDB updated to version 0.4.0 with previous version 0.3 dated 2024-01-12

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

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Package GeoModels updated to version 1.1.9 with previous version 1.1.8 dated 2024-03-13

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) simulation and inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Covariance functions for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. See the URL for the papers associ [...truncated...]
Author: Moreno Bevilacqua [aut, cre] , Victor Morales-Onate [aut] , Christian Caamano-Carrillo [aut]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

Diff between GeoModels versions 1.1.8 dated 2024-03-13 and 1.1.9 dated 2024-03-21

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Package httk (with last version 2.3.0) was removed from CRAN

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

2023-12-08 2.3.0
2023-02-20 2.2.2
2022-09-24 2.2.1

Permanent link
Package qMRI (with last version 1.2.7) was removed from CRAN

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

2023-09-18 1.2.7
2023-09-06 1.2.6
2020-02-24 1.2

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Package spatstat.explore updated to version 3.2-7 with previous version 3.2-6 dated 2024-02-01

Title: Exploratory Data Analysis for the 'spatstat' Family
Description: Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb, cph], Julian Gi [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package usmap updated to version 0.7.1 with previous version 0.7.0 dated 2024-01-20

Title: US Maps Including Alaska and Hawaii
Description: Obtain United States map data frames of varying region types (e.g. county, state). The map data frames include Alaska and Hawaii conveniently placed to the bottom left, as they appear in most maps of the US. Convenience functions for plotting choropleths, visualizing spatial data, and working with FIPS codes are also provided.
Author: Paolo Di Lorenzo [aut, cph, cre]
Maintainer: Paolo Di Lorenzo <dilorenzo@hey.com>

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Package collapse updated to version 2.0.11 with previous version 2.0.10 dated 2024-02-17

Title: Advanced and Fast Data Transformation
Description: A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R. It further includes fast functions for common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It is well integrated with base R classes, 'dplyr'/' [...truncated...]
Author: Sebastian Krantz [aut, cre] , Matt Dowle [ctb], Arun Srinivasan [ctb], Morgan Jacob [ctb], Dirk Eddelbuettel [ctb], Laurent Berge [ctb], Kevin Tappe [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999-2016 The R Core Team [...truncated...]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package azlogr updated to version 0.0.6 with previous version 0.0.5 dated 2023-10-09

Title: Logging in 'R' and Post to 'Azure Log Analytics' Workspace
Description: It extends the functionality of 'logger' package. Additional logging metadata can be configured to be collected. Logging messages are displayed on console and optionally they are sent to 'Azure Log Analytics' workspace in real-time.
Author: Vivek Atal [aut, cre]
Maintainer: Vivek Atal <atalvivek@yahoo.co.in>

Diff between azlogr versions 0.0.5 dated 2023-10-09 and 0.0.6 dated 2024-03-21

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 README.md                          |    4 ++--
 tests/testthat/test-logger_level.R |    7 ++++---
 5 files changed, 18 insertions(+), 12 deletions(-)

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