Wed, 15 Feb 2023

Package hettx updated to version 0.1.2 with previous version 0.1.1 dated 2019-03-06

Title: Fisherian and Neymanian Methods for Detecting and Measuring Treatment Effect Variation
Description: Implements methods developed by Ding, Feller, and Miratrix (2016) <doi:10.1111/rssb.12124> <arXiv:1412.5000>, and Ding, Feller, and Miratrix (2018) <doi:10.1080/01621459.2017.1407322> <arXiv:1605.06566> for testing whether there is unexplained variation in treatment effects across observations, and for characterizing the extent of the explained and unexplained variation in treatment effects. The package includes wrapper functions implementing the proposed methods, as well as helper functions for analyzing and visualizing the results of the test.
Author: Peng Ding [aut], Avi Feller [aut], Ben Fifield [aut, cre], Luke Miratrix [aut]
Maintainer: Ben Fifield <benfifield@gmail.com>

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Package forplo updated to version 0.2.5 with previous version 0.2.0 dated 2022-04-28

Title: Flexible Forest Plots
Description: Simplifies the creation and customization of forest plots (alternatively called dot-and-whisker plots). Input classes accepted by 'forplo' are data.frame, matrix, lm, glm, and coxph. 'forplo' was written in base R and does not depend on other packages.
Author: Vincent ten Cate, PhD [cre, aut]
Maintainer: "Vincent ten Cate, PhD" <vincent10kd@gmail.com>

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Package pct updated to version 0.9.8 with previous version 0.9.7 dated 2022-12-06

Title: Propensity to Cycle Tool
Description: Functions and example data to teach and increase the reproducibility of the methods and code underlying the Propensity to Cycle Tool (PCT), a research project and web application hosted at <https://www.pct.bike/>. For an academic paper on the methods, see Lovelace et al (2017) <doi:10.5198/jtlu.2016.862>.
Author: Robin Lovelace [aut, cre] , Layik Hama [aut] , Nathanael Sheehan [ctb]
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package fma updated to version 2.5 with previous version 2.4 dated 2020-01-14

Title: Data Sets from "Forecasting: Methods and Applications" by Makridakis, Wheelwright & Hyndman (1998)
Description: All data sets from "Forecasting: methods and applications" by Makridakis, Wheelwright & Hyndman (Wiley, 3rd ed., 1998) <https://robjhyndman.com/forecasting/>.
Author: Rob Hyndman [aut, cre, cph] , Justin Carmody [ctb]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

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Package ggrain updated to version 0.0.2 with previous version 0.0.1 dated 2023-02-14

Title: A Rainclouds Geom for 'ggplot2'
Description: The 'geom_rain()' function adds different geoms together using 'ggplot2' to create raincloud plots.
Author: Nicholas Judd [aut, cre] , Jordy van Langen [aut] , Micah Allen [ctb] , Rogier Kievit [aut]
Maintainer: Nicholas Judd <nickkjudd@gmail.com>

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Package forestmangr updated to version 0.9.5 with previous version 0.9.4 dated 2021-08-16

Title: Forest Mensuration and Management
Description: Processing forest inventory data with methods such as simple random sampling, stratified random sampling and systematic sampling. There are also functions for yield and growth predictions and model fitting, linear and nonlinear grouped data fitting, and statistical tests. References: Kershaw Jr., Ducey, Beers and Husch (2016). <doi:10.1002/9781118902028>.
Author: Sollano Rabelo Braga [aut, cre, cph], Marcio Leles Romarco de Oliveira [aut], Eric Bastos Gorgens [aut]
Maintainer: Sollano Rabelo Braga <sollanorb@gmail.com>

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Package CausalGPS updated to version 0.3.0 with previous version 0.2.9 dated 2022-12-16

Title: Matching on Generalized Propensity Scores with Continuous Exposures
Description: Provides a framework for estimating causal effects of a continuous exposure using observational data, and implementing matching and weighting on the generalized propensity score. Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D., 2022. Matching on generalized propensity scores with continuous exposures. Journal of the American Statistical Association, pp.1-29.
Author: Naeem Khoshnevis [aut, cre] , Xiao Wu [aut] , Danielle Braun [aut]
Maintainer: Naeem Khoshnevis <nkhoshnevis@g.harvard.edu>

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Package usedthese updated to version 0.3.0 with previous version 0.2.0 dated 2023-01-21

Title: Summarises Package & Function Usage
Description: Consistent with 'knitr' syntax highlighting, 'usedthese' adds a summary table of R package & function usage to a Quarto document and enables aggregation of usage across a Quarto website. Learn more about 'usedthese' at <https://cgoo4.github.io/usedthese/>.
Author: Carl Goodwin [aut, cre]
Maintainer: Carl Goodwin <carl.goodwin@quantumjitter.com>

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Package spatstat.model updated to version 3.2-1 with previous version 3.1-2 dated 2023-01-26

Title: Parametric Statistical Modelling and Inference for the 'spatstat' Family
Description: Functionality for parametric statistical modelling and inference for 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'.) Supports parametric modelling, formal statistical inference, and model validation. Parametric models include Poisson point processes, Cox point processes, Neyman-Scott cluster processes, Gibbs point processes and determinantal point processes. Models can be fitted to data using maximum likelihood, maximum pseudolikelihood, maximum composite likelihood and the method of minimum contrast. Fitted models can be simulated and predicted. Formal inference includes hypothesis tests (quadrat counting tests, Cressie-Read tests, Clark-Evans test, Berman test, Diggle-Cressie-Loosmore-Ford test, scan test, studentised permutation test, segregation test, ANOVA tests of fitted models, adjusted composite likelihood ratio test, envelope t [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb, cph], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package socialrisk updated to version 0.5.1 with previous version 0.5.0 dated 2022-03-11

Title: Identifying Patient Social Risk from Administrative Health Care Data
Description: Social risks are increasingly becoming a critical component of health care research. One of the most common ways to identify social needs is by using ICD-10-CM "Z-codes." This package identifies social risks using varying taxonomies of ICD-10-CM Z-codes from administrative health care data. The conceptual taxonomies come from: Centers for Medicare and Medicaid Services (2021) <https://www.cms.gov/files/document/zcodes-infographic.pdf>, Reidhead (2018) <https://web.mhanet.com/>, A Arons, S DeSilvey, C Fichtenberg, L Gottlieb (2018) <https://sirenetwork.ucsf.edu/tools-resources/resources/compendium-medical-terminology-codes-social-risk-factors>.
Author: Wyatt Bensken [aut, cre]
Maintainer: Wyatt Bensken <wpb27@case.edu>

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Package rcssci updated to version 0.4.0 with previous version 0.2.0 dated 2022-11-07

Title: Visualization of Restricted Cubic Splines
Description: Restricted Cubic Splines were performed to explore the shape of association form of "U, inverted U, L" shape and test linearity or non-linearity base on "Cox,Logistic,linear,quasipoisson" regression, and auto output Restricted Cubic Splines figures. rcssci package could automatically draw RCS graphics with Y-axis "OR,HR,RR,beta". The Restricted Cubic Splines method were based on Suli Huang (2022) <doi:10.1016/j.ecoenv.2022.113183>,Amit Kaura (2019) <doi:10.1136/bmj.l6055>, and Harrell Jr (2015, ISBN:978-3-319-19424-0 (Print) 978-3-319-19425-7 (Online)).
Author: Zhiqiang Nie [aut, cre, cph] , JunZhang [ctb], Chaolei Chen [ctb]
Maintainer: Zhiqiang Nie <niezhiqiang@gdph.org.cn>

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Package mlr3filters updated to version 0.7.1 with previous version 0.7.0 dated 2023-01-06

Title: Filter Based Feature Selection for 'mlr3'
Description: Extends 'mlr3' with filter methods for feature selection. Besides standalone filter methods built-in methods of any machine-learning algorithm are supported. Partial scoring of multivariate filter methods is supported.
Author: Patrick Schratz [aut] , Michel Lang [cre, aut] , Bernd Bischl [aut] , Martin Binder [aut]
Maintainer: Michel Lang <michellang@gmail.com>

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Package epikit updated to version 0.1.5 with previous version 0.1.2 dated 2020-09-07

Title: Miscellaneous Helper Tools for Epidemiologists
Description: Contains tools for formatting inline code, renaming redundant columns, aggregating age categories, adding survey weights, finding the earliest date of an event, plotting z-curves, generating population counts and calculating proportions with confidence intervals. This is part of the 'R4Epis' project <https://r4epis.netlify.app/>.
Author: Alexander Spina [aut] , Zhian N. Kamvar [aut, cre] , Dirk Schumacher [aut], Kate Doyle [ctb]
Maintainer: Zhian N. Kamvar <zkamvar@gmail.com>

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Package deFit updated to version 0.1.2 with previous version 0.1.0 dated 2023-02-06

Title: Fitting Differential Equations to Time Series Data
Description: Use numerical optimization to fit ordinary differential equations (ODEs) to time series data to examine the dynamic relationships between variables or the characteristics of a dynamical system. It can now be used to estimate the parameters of ODEs up to second order. See <https://github.com/yueqinhu/defit> for details.
Author: Yueqin Hu [aut, cre], Qingshan Liu [aut]
Maintainer: Yueqin Hu <yueqinhu@bnu.edu.cn>

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Package learnrbook updated to version 1.0.2-1 with previous version 1.0.2 dated 2021-07-04

Title: Datasets and Code Examples from P. J. Aphalo's "Learn R" Book
Description: Data, scripts and code from chunks used as examples in the book "Learn R: As a Language" by Pedro J. Aphalo. ISBN 9780367182533 (pbk); ISBN 9780367182557 (hbk); ISBN 9780429060342 (ebk).
Author: Pedro J. Aphalo [aut, cre]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package incidentally updated to version 1.0.2 with previous version 1.0.1 dated 2022-08-05

Title: Generates Incidence Matrices and Bipartite Graphs
Description: Functions to generate incidence matrices and bipartite graphs that have (1) a fixed fill rate, (2) given marginal sums, (3) marginal sums that follow given distributions, or (4) represent bill sponsorships in the US Congress <doi:10.31219/osf.io/ectms>. It can also generate an incidence matrix from an adjacency matrix, or bipartite graph from a unipartite graph, via a social process mirroring team, group, or organization formation <doi:10.48550/arXiv.2204.13670>.
Author: Zachary Neal [aut, cre]
Maintainer: Zachary Neal <zpneal@msu.edu>

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Package argparse updated to version 2.2.2 with previous version 2.2.1 dated 2022-12-08

Title: Command Line Optional and Positional Argument Parser
Description: A command line parser to be used with 'Rscript' to write "#!" shebang scripts that gracefully accept positional and optional arguments and automatically generate usage.
Author: Trevor L Davis [aut, cre] , Allen Day [ctb] , Python Software Foundation [ctb] , Paul Newell [ctb]
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

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Package SIBER updated to version 2.1.7 with previous version 2.1.6 dated 2021-04-13

Title: Stable Isotope Bayesian Ellipses in R
Description: Fits bi-variate ellipses to stable isotope data using Bayesian inference with the aim being to describe and compare their isotopic niche.
Author: Andrew Jackson [aut, cre] , Andrew Parnell [aut]
Maintainer: Andrew Jackson <jacksoan@tcd.ie>

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Package gglm updated to version 1.0.1 with previous version 1.0.0 dated 2022-11-23

Title: Grammar of Graphics for Linear Model Diagnostic Plots
Description: Allows for easy creation of diagnostic plots for a variety of model objects using the Grammar of Graphics. Provides functionality for both individual diagnostic plots and an array of four standard diagnostic plots.
Author: Grayson White [aut, cre]
Maintainer: Grayson White <graysonwhite13@gmail.com>

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Package wildmeta updated to version 0.3.1 with previous version 0.3.0 dated 2022-10-07

Title: Cluster Wild Bootstrapping for Meta-Analysis
Description: Conducts single coefficient tests and multiple-contrast hypothesis tests of meta-regression models using cluster wild bootstrapping, based on methods examined in Joshi, Pustejovsky, and Beretvas (2022) <DOI:10.1002/jrsm.1554>.
Author: Megha Joshi [aut, cre] , James Pustejovsky [aut] , Pierce Cappelli [aut]
Maintainer: Megha Joshi <megha.j456@gmail.com>

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Package gMOIP updated to version 1.4.9 with previous version 1.4.8 dated 2023-01-26

Title: Tools for 2D and 3D Plots of Single and Multi-Objective Linear/Integer Programming Models
Description: Make 2D and 3D plots of linear programming (LP), integer linear programming (ILP), or mixed integer linear programming (MILP) models with up to three objectives. Plots of both the solution and criterion space are possible. For instance the non-dominated (Pareto) set for bi-objective LP/ILP/MILP programming models (see vignettes for an overview). The package also contains an function for checking if a point is inside the convex hull.
Author: Lars Relund Nielsen [aut, cre]
Maintainer: Lars Relund Nielsen <lars@relund.dk>

Diff between gMOIP versions 1.4.8 dated 2023-01-26 and 1.4.9 dated 2023-02-15

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More information about gMOIP at CRAN
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Package ggstatsplot updated to version 0.11.0 with previous version 0.10.0 dated 2022-11-27

Title: 'ggplot2' Based Plots with Statistical Details
Description: Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses. References: Patil (2021) <doi:10.21105/joss.03236>.
Author: Indrajeet Patil [cre, aut, cph] , Chuck Powell [ctb]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package callsync updated to version 0.0.6 with previous version 0.0.3 dated 2023-01-20

Title: Recording Synchronisation, Call Detection and Assignment, Audio Analysis
Description: Intended to analyse recordings from multiple microphones (e.g., backpack microphones in captive setting). It allows users to align recordings even if there is non-linear drift of several minutes between them. A call detection and assignment pipeline can be used to find vocalisations and assign them to the vocalising individuals (even if the vocalisation is picked up on multiple microphones). The tracing and measurement functions allow for detailed analysis of the vocalisations and filtering of noise. Finally, the package includes a function to run spectrographic cross correlation, which can be used to compare vocalisations. It also includes multiple other functions related to analysis of vocal behaviour.
Author: Simeon Q. Smeele [cre, aut], Stephen A. Tyndel [ctb]
Maintainer: Simeon Q. Smeele <simeonqs@hotmail.com>

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Package uGMAR updated to version 3.4.4 with previous version 3.4.3 dated 2022-06-07

Title: Estimate Univariate Gaussian and Student's t Mixture Autoregressive Models
Description: Maximum likelihood estimation of univariate Gaussian Mixture Autoregressive (GMAR), Student's t Mixture Autoregressive (StMAR), and Gaussian and Student's t Mixture Autoregressive (G-StMAR) models, quantile residual tests, graphical diagnostics, forecast and simulate from GMAR, StMAR and G-StMAR processes. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2015) <doi:10.1111/jtsa.12108>, Mika Meitz, Daniel Preve, Pentti Saikkonen (2023) <doi:10.1080/03610926.2021.1916531>, Savi Virolainen (2022) <doi:10.1515/snde-2020-0060>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

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Package nnTensor updated to version 1.1.12 with previous version 1.1.10 dated 2022-11-15

Title: Non-Negative Tensor Decomposition
Description: Some functions for performing non-negative matrix factorization, non-negative CANDECOMP/PARAFAC (CP) decomposition, non-negative Tucker decomposition, and generating toy model data. See Andrzej Cichock et al (2009) and the reference section of GitHub README.md <https://github.com/rikenbit/nnTensor>, for details of the methods.
Author: Koki Tsuyuzaki [aut, cre], Itoshi Nikaido [aut]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

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Package multimorbidity updated to version 0.5.1 with previous version 0.5.0 dated 2021-08-20

Title: Harmonizing Various Comorbidity, Multimorbidity, and Frailty Measures
Description: Identifying comorbidities, frailty, and multimorbidity in claims and administrative data is often a duplicative process. The functions contained in this package are meant to first prepare the data to a format acceptable by all other packages, then provide a uniform and simple approach to generate comorbidity and multimorbidity metrics based on these claims data. The package is ever evolving to include new metrics, and is always looking for new measures to include. The citations used in this package include the following publications: Anne Elixhauser, Claudia Steiner, D. Robert Harris, Rosanna M. Coffey (1998) <doi:10.1097/00005650-199801000-00004>, Brian J Moore, Susan White, Raynard Washington, et al. (2017) <doi:10.1097/MLR.0000000000000735>, Mary E. Charlson, Peter Pompei, Kathy L. Ales, C. Ronald MacKenzie (1987) <doi:10.1016/0021-9681(87)90171-8>, Richard A. Deyo, Daniel C. Cherkin, Marcia A. Ciol (1992) <doi:10.1016/0895-4356(92)90133-8>, Hude Quan, Vijaya [...truncated...]
Author: Wyatt Bensken [aut, cre]
Maintainer: Wyatt Bensken <wpb27@case.edu>

Diff between multimorbidity versions 0.5.0 dated 2021-08-20 and 0.5.1 dated 2023-02-15

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Package lmeInfo updated to version 0.3.1 with previous version 0.3.0 dated 2022-10-24

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

Diff between lmeInfo versions 0.3.0 dated 2022-10-24 and 0.3.1 dated 2023-02-15

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Package genesysr updated to version 1.1.0 with previous version 1.0.1 dated 2022-12-04

Title: Genesys PGR Client
Description: Access data on plant genetic resources from genebanks around the world published on Genesys (<https://www.genesys-pgr.org>). Your use of data is subject to terms and conditions available at <https://www.genesys-pgr.org/content/legal/terms>.
Author: Global Crop Diversity Trust [cph], Matija Obreza [aut, cre], Nora Castaneda [ctb]
Maintainer: Matija Obreza <matija.obreza@croptrust.org>

Diff between genesysr versions 1.0.1 dated 2022-12-04 and 1.1.0 dated 2023-02-15

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New package SurrogateRsq with initial version 0.2.0
Package: SurrogateRsq
Title: Evaluating the Goodness of Fit using the Surrogate R-Squared
Version: 0.2.0
Maintainer: Xiaorui (Jeremy) Zhu <zhuxiaorui1989@gmail.com>
Description: To assess and compare the models' goodness of fit, R-squared is one of the most popular measures. For categorical data analysis, however, no universally adopted R-squared measure can resemble the ordinary least square (OLS) R-squared for linear models with continuous data. This package implement the surrogate R-squared measure for categorical data analysis, which is proposed in the study of Dungang Liu, Xiaorui Zhu, Brandon Greenwell, and Zewei Lin (2022) <doi:10.1111/bmsp.12289>. It can generate a point or interval measure of the surrogate R-squared. It can also provide a ranking measure of the percentage contribution of each variable to the overall surrogate R-squared. This ranking assessment allows one to check the importance of each variable in terms of their explained variance. This package can be jointly used with other existing R packages for variable selection and model diagnostics in the model-building process.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), DescTools (>= 0.99.42), MASS (>= 7.3-54), PAsso (>= 0.1.10), progress (>= 1.2.0), scales (>= 1.1.1)
Suggests: R.rsp, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://xiaoruizhu.github.io/SurrogateRsq/
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2023-02-14 15:03:18 UTC; xiaorui
Author: Xiaorui Zhu [aut, cre, cph], Dungang Liu [ctb], Zewei Lin [ctb], Brandon Greenwell [ctb]
Repository: CRAN
Date/Publication: 2023-02-15 12:20:03 UTC

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New package Statamarkdown with initial version 0.7.2
Package: Statamarkdown
Version: 0.7.2
Date: 2023-02-13
Title: 'Stata' Markdown
Description: Settings and functions to extend the 'knitr' 'Stata' engine.
Imports: knitr (>= 1.15), xfun (>= 0.4)
Suggests: rmarkdown
SystemRequirements: Stata
Maintainer: Doug Hemken <dehemken@wisc.edu>
License: MIT + file LICENSE
BugReports: https://github.com/Hemken/Statamarkdown/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-02-14 19:01:45 UTC; hemken
Author: Doug Hemken [aut, cre] , Tom Palmer [ctb] , Philipp Lepert [ctb]
Repository: CRAN
Date/Publication: 2023-02-15 12:40:02 UTC

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Package SparseVFC updated to version 0.1.1 with previous version 0.1.0 dated 2022-05-27

Title: Sparse Vector Field Consensus for Vector Field Learning
Description: The sparse vector field consensus (SparseVFC) algorithm (Ma et al., 2013 <doi:10.1016/j.patcog.2013.05.017>) for robust vector field learning. Largely translated from the Matlab functions in <https://github.com/jiayi-ma/VFC>.
Author: Jingmeng Cui [aut, cre]
Maintainer: Jingmeng Cui <jingmeng.cui@outlook.com>

Diff between SparseVFC versions 0.1.0 dated 2022-05-27 and 0.1.1 dated 2023-02-15

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New package PoolDilutionR with initial version 1.0.0
Package: PoolDilutionR
Title: Calculate Gross Biogeochemical Flux Rates from Isotope Pool Dilution Data
Version: 1.0.0
Description: Pool dilution is a isotope tracer technique wherein a biogeochemical pool is artifically enriched with its heavy isotopologue and the gross productive and consumptive fluxes of that pool are quantified by the change in pool size and isotopic composition over time. This package calculates gross production and consumption rates from closed-system isotopic pool dilution time series data. Pool size concentrations and heavy isotope (e.g., 15N) content are measured over time and the model optimizes production rate (P) and the first order rate constant (k) by minimizing error in the model-predicted total pool size, as well as the isotopic signature. The model optimizes rates by weighting information against the signal:noise ratio of concentration and heavy- isotope signatures using measurement precision as well as the magnitude of change over time. The calculations used here are based on von Fischer and Hedin (2002) <doi:10.1029/2001GB001448> with some modifications.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2, tibble, tidyr
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-02-14 16:05:48 UTC; morr497
Author: Kendalynn A. Morris [cre, aut] , Ben Bond-Lamberty [ctb]
Maintainer: Kendalynn A. Morris <kendalynn.morris@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-15 12:20:06 UTC

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Package ichimoku updated to version 1.4.5 with previous version 1.4.4 dated 2023-01-09

Title: Visualization and Tools for Ichimoku Kinko Hyo Strategies
Description: An implementation of 'Ichimoku Kinko Hyo', also commonly known as 'cloud charts'. Static and interactive visualizations with tools for creating, backtesting and development of quantitative 'ichimoku' strategies. As described in Sasaki (1996, ISBN:4925152009), the technique is a refinement on candlestick charting, originating from Japan and now in widespread use in technical analysis worldwide. Translating as 'one-glance equilibrium chart', it allows the price action and market structure of financial securities to be determined 'at-a-glance'. Incorporates an interface with the OANDA fxTrade API <https://developer.oanda.com/> for retrieving historical and live streaming price data for major currencies, metals, commodities, government bonds and stock indices.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

Diff between ichimoku versions 1.4.4 dated 2023-01-09 and 1.4.5 dated 2023-02-15

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Package gmvarkit updated to version 2.0.6 with previous version 2.0.5 dated 2022-08-19

Title: Estimate Gaussian and Student's t Mixture Vector Autoregressive Models
Description: Unconstrained and constrained maximum likelihood estimation of structural and reduced form Gaussian mixture vector autoregressive, Student's t mixture vector autoregressive, and Gaussian and Student's t mixture vector autoregressive models, quantile residual tests, graphical diagnostics, simulations, forecasting, and estimation of generalized impulse response function and generalized forecast error variance decomposition. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2016) <doi:10.1016/j.jeconom.2016.02.012>, Savi Virolainen (2022) <arXiv:2007.04713>, Savi Virolainen (2022) <arXiv:2109.13648>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

Diff between gmvarkit versions 2.0.5 dated 2022-08-19 and 2.0.6 dated 2023-02-15

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New package gitr with initial version 0.0.1
Package: gitr
Title: A Lightweight API for 'Git'
Version: 0.0.1
Description: A light-weight, dependency-free, application programming interface (API) to access system-level 'Git' commands from within 'R'. Contains wrappers and defaults for common data science workflows as well as 'Zsh' plugin aliases. A generalized API syntax is also available. A system installation of 'Git' <https://git-scm.com/downloads> is required.
License: MIT + file LICENSE
URL: https://stufield.github.io/gitr/
BugReports: https://github.com/stufield/gitr/issues
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
LazyLoad: true
Copyright: Stu Field 2023
Language: en-US
NeedsCompilation: no
Packaged: 2023-02-14 22:09:53 UTC; sfield
Author: Stu Field [aut, cre, cph]
Maintainer: Stu Field <stu.g.field@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-15 12:50:10 UTC

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Package GetQuandlData updated to version 1.0.0 with previous version 0.1.0 dated 2019-10-20

Title: Fast and Cached Import of Data from 'Quandl' Using the 'json API'
Description: Imports time series data from the 'Quandl' database <https://data.nasdaq.com/>. The package uses the 'json api' at <https://data.nasdaq.com/search>, local caching ('memoise' package) and the tidy format by default. Also allows queries of databases, allowing the user to see which time series are available for each database id. In short, it is an alternative to package 'Quandl', with faster data importation in the tidy/long format.
Author: Marcelo S. Perlin
Maintainer: Marcelo S. Perlin <marceloperlin@gmail.com>

Diff between GetQuandlData versions 0.1.0 dated 2019-10-20 and 1.0.0 dated 2023-02-15

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New package epitopeR with initial version 1.0.0
Package: epitopeR
Title: Predict Peptide-MHC Binding
Version: 1.0.0
Description: A suite of tools to predict peptide MHC (major histocompatibility complex) presentation in the context of both human and mouse. Polymorphic peptides between self and foreign proteins are identified. The ability of peptides to bind self MHC is assessed and scored. Based on half maximal inhibitory concentration as queried through the immune epitope database API <http://tools.iedb.org> using user defined methods, the foreign peptides most likely to be presented are output along with their predicted binding strength, amino acid position, the protein from which each peptide was derived, and the presenting allele. "References:" Vita R, Mahajan S, Overton JA, Dhanda SK, Martini S, Cantrell JR, Wheeler DK, Sette A, Peters B. <doi:10.1093/nar/gky1006>.
Depends: R (>= 4.2.0)
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggseqlogo, ggVennDiagram
VignetteBuilder: knitr
Imports: dplyr, fs, httr, janitor, purrr, rlang, stringr, tibble, tidyverse, utils, readr, Biostrings, seqinr
NeedsCompilation: no
Packaged: 2023-02-14 21:16:14 UTC; xzhan50
Author: Joan Zhang [aut, cre], Aileen Johnson [aut], Christian P Larsen [cph, aut]
Maintainer: Joan Zhang <joan.zhang@emory.edu>
Repository: CRAN
Date/Publication: 2023-02-15 12:50:13 UTC

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Package shinyStorePlus updated to version 0.9 with previous version 0.8 dated 2022-11-21

Title: Secure in-Browser Storage for 'Shiny' Inputs and Variables
Description: Store persistent and synchronized data from 'Shiny' inputs within the browser in a secure format. Refresh 'Shiny' applications and preserve user-inputs over multiple sessions. A database-like storage format is implemented using 'Dexie.js' <https://dexie.org>, a minimal wrapper for 'IndexedDB'. Transfer browser link parameters to 'Shiny' input or output values.
Author: Obinna Obianom [aut, cre]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

Diff between shinyStorePlus versions 0.8 dated 2022-11-21 and 0.9 dated 2023-02-15

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New package moderate.mediation with initial version 0.0.1
Package: moderate.mediation
Version: 0.0.1
Date: 2023-02-14
Title: Causal Moderated Mediation Analysis
Maintainer: Xu Qin <xuqin@pitt.edu>
Depends: R (>= 3.5.0)
Imports: stats, mvtnorm, cowplot, distr, graphics, ggplot2, reshape2, doSNOW, scales, foreach
Description: Causal moderated mediation analysis using the methods proposed by Qin and Wang (2022). Causal moderated mediation analysis is crucial for investigating how, for whom, and where a treatment is effective by assessing the heterogeneity of mediation mechanism across individuals and contexts. This package enables researchers to estimate and test the conditional and moderated mediation effects, assess their sensitivity to unmeasured pre-treatment confounding, and visualize the results. The package is built based on the quasi-Bayesian Monte Carlo method, because it has relatively better performance at small sample sizes, and its running speed is the fastest. The package is applicable to a treatment of any scale, a binary or continuous mediator, a binary or continuous outcome, and one or more moderators of any scale.
License: GPL-2
NeedsCompilation: no
Packaged: 2023-02-14 13:57:23 UTC; XUQIN
Author: Xu Qin [aut, cre, cph], Lijuan Wang [ctb]
Repository: CRAN
Date/Publication: 2023-02-15 12:00:02 UTC

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Package autohrf updated to version 1.1.2 with previous version 1.1.0 dated 2022-11-19

Title: Automated Generation of Data-Informed GLM Models in Task-Based fMRI Data Analysis
Description: Analysis of task-related functional magnetic resonance imaging (fMRI) activity at the level of individual participants is commonly based on general linear modelling (GLM) that allows us to estimate to what extent the blood oxygenation level dependent (BOLD) signal can be explained by task response predictors specified in the GLM model. The predictors are constructed by convolving the hypothesised timecourse of neural activity with an assumed hemodynamic response function (HRF). To get valid and precise estimates of task response, it is important to construct a model of neural activity that best matches actual neuronal activity. The construction of models is most often driven by predefined assumptions on the components of brain activity and their duration based on the task design and specific aims of the study. However, our assumptions about the onset and duration of component processes might be wrong and can also differ across brain regions. This can result in inappropriate or suboptim [...truncated...]
Author: Jure Demsar [cre, aut], Nina Purg [aut], Grega Repovs [aut]
Maintainer: Jure Demsar <jure.demsar@fri.uni-lj.si>

Diff between autohrf versions 1.1.0 dated 2022-11-19 and 1.1.2 dated 2023-02-15

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Package shinyglide updated to version 0.1.4 with previous version 0.1.3 dated 2021-06-11

Title: Glide Component for Shiny Applications
Description: Insert Glide JavaScript component into Shiny applications for carousel or assistant-like user interfaces.
Author: Julien Barnier [aut, cre]
Maintainer: Julien Barnier <julien.barnier@cnrs.fr>

Diff between shinyglide versions 0.1.3 dated 2021-06-11 and 0.1.4 dated 2023-02-15

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Package GenSA updated to version 1.1.8 with previous version 1.1.7 dated 2018-01-17

Title: R Functions for Generalized Simulated Annealing
Description: Performs search for global minimum of a very complex non-linear objective function with a very large number of optima.
Author: Sylvain Gubian, Yang Xiang, Brian Suomela, Julia Hoeng, PMP SA.
Maintainer: Sylvain Gubian <DL.RSupport@pmi.com>

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Package dhis2r updated to version 0.1.1 with previous version 0.1.0 dated 2023-02-11

Title: Client for the 'DHIS2' Web API
Description: Connect and pull data from a 'DHIS2 (District Health Information Software 2)' instance into R.
Author: Robinson Amanyiraho [cre, aut, cph]
Maintainer: Robinson Amanyiraho <amanyiraho@gmail.com>

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Package xtensor updated to version 0.14.1-0 with previous version 0.13.2-0 dated 2021-03-01

Title: Headers for the 'xtensor' Library
Description: The 'xtensor' C++ library for numerical analysis with multi-dimensional array expressions is provided as a header-only C++14 library. It offers an extensible expression system enabling lazy broadcasting; an API following the idioms of the C++ standard library; and tools to manipulate array expressions and build upon 'xtensor'.
Author: Johan Mabille, Sylvain Corlay and Wolf Vollprecht
Maintainer: Sylvain Corlay <sylvain.corlay@gmail.com>

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Package phenofit updated to version 0.3.8 with previous version 0.3.7 dated 2022-11-07

Title: Extract Remote Sensing Vegetation Phenology
Description: The merits of 'TIMESAT' and 'phenopix' are adopted. Besides, a simple and growing season dividing method and a practical snow elimination method based on Whittaker were proposed. 7 curve fitting methods and 4 phenology extraction methods were provided. Parameters boundary are considered for every curve fitting methods according to their ecological meaning. And 'optimx' is used to select best optimization method for different curve fitting methods. Reference: Kong, D., (2020). R package: A state-of-the-art Vegetation Phenology extraction package, phenofit version 0.3.1, <doi:10.5281/zenodo.5150204>; Kong, D., Zhang, Y., Wang, D., Chen, J., & Gu, X. (2020). Photoperiod Explains the Asynchronization Between Vegetation Carbon Phenology and Vegetation Greenness Phenology. Journal of Geophysical Research: Biogeosciences, 125(8), e2020JG005636. <doi:10.1029/2020JG005636>; Kong, D., Zhang, Y., Gu, X., & Wang, D. (2019). A robust method for reconstructing global MODIS EVI ti [...truncated...]
Author: Dongdong Kong [aut, cre], Mingzhong Xiao [aut], Yongqiang Zhang [aut], Xihui Gu [aut], Jianjian Cui [aut]
Maintainer: Dongdong Kong <kongdd.sysu@gmail.com>

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Package markovMSM updated to version 0.1.3 with previous version 0.1.2 dated 2023-01-05

Title: Methods for Checking the Markov Condition in Multi-State Survival Data
Description: The inference in multi-state models is traditionally performed under a Markov assumption that claims that past and future of the process are independent given the present state. In this package, we consider tests of the Markov assumption that are applicable to general multi-state models. Three approaches using existing methodology are considered: a simple method based on including covariates depending on the history in Cox models for the transition intensities; methods based on measuring the discrepancy of the non-Markov estimators of the transition probabilities to the Markov Aalen-Johansen estimators; and, finally, methods that were developed by considering summaries from families of log-rank statistics where patients are grouped by the state occupied of the process at a particular time point (see Soutinho G, Meira-Machado L (2021) <doi:10.1007/s00180-021-01139-7> and Titman AC, Putter H (2020) <doi:10.1093/biostatistics/kxaa030>).
Author: Gustavo Soutinho [aut, cre] , Luis Meira-Machado [aut]
Maintainer: Gustavo Soutinho <gustavosoutinho@sapo.pt>

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Package overviewR updated to version 0.0.13 with previous version 0.0.11 dated 2022-08-06

Title: Easily Extracting Information About Your Data
Description: Makes it easy to display descriptive information on a data set. Getting an easy overview of a data set by displaying and visualizing sample information in different tables (e.g., time and scope conditions). The package also provides publishable 'LaTeX' code to present the sample information.
Author: Cosima Meyer [cre, aut], Dennis Hammerschmidt [aut]
Maintainer: Cosima Meyer <cosima.meyer@gmail.com>

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Package glmmrMCML (with last version 0.2.2) was removed from CRAN

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

2023-01-27 0.2.2

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Package GNGTools (with last version 1.0.0) was removed from CRAN

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

2022-12-15 1.0.0

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

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

2022-06-28 0.1.0

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Package r2redux updated to version 1.0.13 with previous version 1.0.12 dated 2022-10-09

Title: R2 Statistic
Description: R2 statistic for significance test. Variance and covariance of R2 values used to assess the 95% CI and p-value of the R2 difference.
Author: Hong Lee [aut, cph], Moksedul Momin [aut, cre, cph]
Maintainer: Moksedul Momin <cvasu.momin@gmail.com>

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