Sat, 09 Apr 2022

Package nasapower updated to version 4.0.7 with previous version 4.0.6 dated 2022-02-28

Title: NASA POWER API Client
Description: Client for 'NASA' 'POWER' global meteorology, surface solar energy and climatology data 'API'. 'POWER' (Prediction Of Worldwide Energy Resource) data are freely available for download with varying spatial resolutions dependent on the original data and with several temporal resolutions depending on the POWER parameter and community. This work is funded through the 'NASA' Earth Science Directorate Applied Science Program. For more on the data themselves, the methodologies used in creating, a web- based data viewer and web access, please see <https://power.larc.nasa.gov/>.
Author: Adam H. Sparks [aut, cre] , Scott Chamberlain [rev] , Hazel Kavili [rev] , Alison Boyer [rev] , Fernando Miguez [ctb] , Maelle Salmon [ctb] , Phillip D. Alderman [ctb] ` must use `I` for literal data as of vroom 1.5.0.', see https://github.com/ropens [...truncated...]
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

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Package spaMM updated to version 3.11.14 with previous version 3.11.3 dated 2022-03-25

Title: Mixed-Effect Models, with or without Spatial Random Effects
Description: Inference based on models with or without spatially-correlated random effects, multivariate responses, or non-Gaussian random effects (e.g., Beta). Variation in residual variance (heteroscedasticity) can itself be represented by a mixed-effect model. Both classical geostatistical models (Rousset and Ferdy 2014 <doi:10.1111/ecog.00566>), and Markov random field models on irregular grids (as considered in the 'INLA' package, <https://www.r-inla.org>), can be fitted, with distinct computational procedures exploiting the sparse matrix representations for the latter case and other autoregressive models. Laplace approximations are used for likelihood or restricted likelihood. Penalized quasi-likelihood and other variants discussed in the h-likelihood literature (Lee and Nelder 2001 <doi:10.1093/biomet/88.4.987>) are also implemented.
Author: François Rousset [aut, cre, cph] , Jean-Baptiste Ferdy [aut, cph], Alexandre Courtiol [aut] , GSL authors [ctb]
Maintainer: François Rousset <francois.rousset@umontpellier.fr>

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Package RcppRedis updated to version 0.2.1 with previous version 0.2.0 dated 2022-03-08

Title: 'Rcpp' Bindings for 'Redis' using the 'hiredis' Library
Description: Connection to the 'Redis' key/value store using the C-language client library 'hiredis' (included as a fallback) with 'MsgPack' encoding provided via 'RcppMsgPack' headers. It now also includes the pub/sub functions from the 'rredis' package.
Author: Dirk Eddelbuettel and Bryan W. Lewis
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package Markovchart updated to version 2.1.5 with previous version 2.1.4 dated 2021-11-01

Title: Markov Chain-Based Cost-Optimal Control Charts
Description: Functions for cost-optimal control charts with a focus on health care applications. Compared to assumptions in traditional control chart theory, here, we allow random shift sizes, random repair and random sampling times. The package focuses on X-bar charts with a sample size of 1 (representing the monitoring of a single patient at a time). The methods are described in Zempleni et al. (2004) <doi:10.1002/asmb.521>, Dobi and Zempleni (2019) <doi:10.1002/qre.2518> and Dobi and Zempleni (2019) <http://ac.inf.elte.hu/Vol_049_2019/129_49.pdf>.
Author: Balazs Dobi & Andras Zempleni
Maintainer: Balazs Dobi <dobibalazs@inf.elte.hu>

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Package gensvm updated to version 0.1.6 with previous version 0.1.5 dated 2020-09-11

Title: A Generalized Multiclass Support Vector Machine
Description: The GenSVM classifier is a generalized multiclass support vector machine (SVM). This classifier aims to find decision boundaries that separate the classes with as wide a margin as possible. In GenSVM, the loss function is very flexible in the way that misclassifications are penalized. This allows the user to tune the classifier to the dataset at hand and potentially obtain higher classification accuracy than alternative multiclass SVMs. Moreover, this flexibility means that GenSVM has a number of other multiclass SVMs as special cases. One of the other advantages of GenSVM is that it is trained in the primal space, allowing the use of warm starts during optimization. This means that for common tasks such as cross validation or repeated model fitting, GenSVM can be trained very quickly. Based on: G.J.J. van den Burg and P.J.F. Groenen (2018) <https://www.jmlr.org/papers/v17/14-526.html>.
Author: Gertjan van den Burg [aut, cre], Patrick Groenen [ctb]
Maintainer: Gertjan van den Burg <gertjanvandenburg@gmail.com>

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Package esreg updated to version 0.6.0 with previous version 0.5.0 dated 2019-11-15

Title: Joint Quantile and Expected Shortfall Regression
Description: Simultaneous modeling of the quantile and the expected shortfall of a response variable given a set of covariates, see Dimitriadis and Bayer (2019) <doi:10.1214/19-EJS1560>.
Author: Sebastian Bayer [aut, cre], Timo Dimitriadis [aut]
Maintainer: Sebastian Bayer <sebastian.bayer@uni-konstanz.de>

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Package ecochange updated to version 2.8 with previous version 2.5 dated 2022-02-07

Title: Integrating Ecosystem Remote Sensing Products to Derive EBV Indicators
Description: Essential Biodiversity Variables (EBV) are state variables with dimensions on time, space, and biological organization that document biodiversity change. Freely available ecosystem remote sensing products (ERSP) are downloaded and integrated with data for national or regional domains to derive indicators for EBV in the class ecosystem structure (Pereira et al., 2013) <doi:10.1126/science.1229931>, including horizontal ecosystem extents, fragmentation, and information-theory indices. To process ERSP, users must provide a polygon or geographic administrative data map. Downloadable ERSP include Global Surface Water (Peckel et al., 2016) <doi:10.1038/nature20584>, Forest Change (Hansen et al., 2013) <doi:10.1126/science.1244693>, and Continuous Tree Cover data (Sexton et al., 2013) <doi:10.1080/17538947.2013.786146>.
Author: Wilson Lara Henao [aut, cre], Victor Gutierrez-Velez [aut], Ivan Gonzalez [ctb], Maria C. Londono [ctb]
Maintainer: Wilson Lara Henao <wilarhen@gmail.com>

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Package GPLTR updated to version 1.3 with previous version 1.2 dated 2015-06-18

Title: Generalized Partially Linear Tree-Based Regression Model
Description: Combining a generalized linear model with an additional tree part on the same scale. A four-step procedure is proposed to fit the model and test the joint effect of the selected tree part while adjusting on confounding factors. We also proposed an ensemble procedure based on the bagging to improve prediction accuracy and computed several scores of importance for variable selection.
Author: Cyprien Mbogning <cyprien.mbogning@inserm.fr> and Wilson Toussile
Maintainer: Cyprien Mbogning <cyprien.mbogning@gmail.com>

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Package santaR updated to version 1.2.0 with previous version 1.0 dated 2018-01-24

Title: Short Asynchronous Time-Series Analysis
Description: A graphical and automated pipeline for the analysis of short time-series in R ('santaR'). This approach is designed to accommodate asynchronous time sampling (i.e. different time points for different individuals), inter-individual variability, noisy measurements and large numbers of variables. Based on a smoothing splines functional model, 'santaR' is able to detect variables highlighting significantly different temporal trajectories between study groups. Designed initially for metabolic phenotyping, 'santaR' is also suited for other Systems Biology disciplines. Command line and graphical analysis (via a 'shiny' application) enable fast and parallel automated analysis and reporting, intuitive visualisation and comprehensive plotting options for non-specialist users.
Author: Arnaud Wolfer [aut, cre] , Timothy Ebbels [ctb], Joe Cheng [ctb]
Maintainer: Arnaud Wolfer <adwolfer@gmail.com>

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Package gfoRmula updated to version 1.0.0 with previous version 0.3.2 dated 2021-07-13

Title: Parametric G-Formula
Description: Implements the parametric g-formula algorithm of Robins (1986) <doi:10.1016/0270-0255(86)90088-6>. The g-formula can be used to estimate the causal effects of hypothetical time-varying treatment interventions on the mean or risk of an outcome from longitudinal data with time-varying confounding. This package allows: 1) binary or continuous/multi-level time-varying treatments; 2) different types of outcomes (survival or continuous/binary end of follow-up); 3) data with competing events or truncation by death and loss to follow-up and other types of censoring events; 4) different options for handling competing events in the case of survival outcomes; 5) a random measurement/visit process; 6) joint interventions on multiple treatments; and 7) general incorporation of a priori knowledge of the data structure.
Author: Victoria Lin [aut] , Sean McGrath [aut, cre] , Zilu Zhang [aut], Roger W. Logan [aut], Lucia C. Petito [aut], Jessica G. Young [aut] , Miguel A. Hernan [aut] , 2019 The President and Fellows of Harvard College [cph]
Maintainer: Sean McGrath <sean_mcgrath@g.harvard.edu>

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Package tabxplor updated to version 1.0.3 with previous version 1.0.2 dated 2021-10-21

Title: User-Friendly Tables with Color Helpers for Data Exploration
Description: Make it easy to deal with multiple cross-tables in data exploration, by creating them, manipulating them, and adding color helpers to highlight important informations. All functions are "tidy", pipe-friendly, and render data frames which can be easily manipulated. Tables can be exported to Excel and in html with formats and colors.
Author: Brice Nocenti [aut, cre]
Maintainer: Brice Nocenti <brice.nocenti@gmail.com>

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Package moduleColor updated to version 1.8-4 with previous version 1.08-3 dated 2014-11-26

Title: Basic Module Functions
Description: Methods for color labeling, calculation of eigengenes, merging of closely related modules.
Author: Peter Langfelder <Peter.Langfelder@gmail.com> and Steve Horvath <SHorvath@mednet.ucla.edu>
Maintainer: Peter Langfelder <Peter.Langfelder@gmail.com>

Diff between moduleColor versions 1.08-3 dated 2014-11-26 and 1.8-4 dated 2022-04-09

 DESCRIPTION   |   10 +++++-----
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Package TwoSampleTest.HD updated to version 1.1 with previous version 1.0 dated 2018-11-04

Title: A Two-Sample Test for the Equality of Distributions for High-Dimensional Data
Description: For high-dimensional data whose main feature is a large number, p, of variables but a small sample size, the null hypothesis that the marginal distributions of p variables are the same for two groups is tested. We propose a test statistic motivated by the simple idea of comparing, for each of the p variables, the empirical characteristic functions computed from the two samples. If one rejects this global null hypothesis of no differences in distributions between the two groups, a set of permutation p-values is reported to identify which variables are not equally distributed in both groups.
Author: Marta Cousido Rocha [aut, cre], Jose Carlos Soage Gonzalez [ctr], Jacobo de Uña Álvarez [aut, ths], Jeffrey D. Hart [aut]
Maintainer: Marta Cousido Rocha <martacousido@uvigo.es>

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Package beanplot updated to version 1.3.1 with previous version 1.2 dated 2014-09-19

Title: Visualization via Beanplots (Like Boxplot/Stripchart/Violin Plot)
Description: Plots univariate comparison graphs, an alternative to boxplot/stripchart/violin plot.
Author: Peter Kampstra
Maintainer: Peter Kampstra <beanplot@kampstra.net>

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Package geodata updated to version 0.4-6 with previous version 0.3-5 dated 2021-12-03

Title: Download Geographic Data
Description: Functions for downloading of geographic data for use in spatial analysis and mapping. The package facilitates access to climate, elevation, land use, soil, species occurrence, accessibility, administrative boundaries and other data.
Author: Robert J. Hijmans [cre, aut], Aniruddha Ghosh [ctb], Alex Mandel [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package predieval (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:

2022-03-28 0.1.0

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Package MatchLinReg (with last version 0.7.3) was removed from CRAN

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

2020-02-03 0.7.3
2015-07-12 0.7.0

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Package CovSelHigh (with last version 1.1.1) was removed from CRAN

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

2017-07-03 1.1.1
2017-05-04 1.1.0
2016-04-26 1.0.0

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Package PropensitySub (with last version 0.2.0) was removed from CRAN

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

2021-07-29 0.2.0

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Package CMatching (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:

2019-02-05 2.3.0
2018-10-05 2.2.1
2018-08-27 2.2
2018-07-02 2.1
2018-01-23 2.0
2017-09-19 1.0

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Package SAMUR (with last version 0.6) was removed from CRAN

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

2015-03-27 0.6

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Package Matching (with last version 4.9-11) was removed from CRAN

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

2021-10-25 4.9-11
2021-10-09 4.9-10
2021-04-13 4.9-9
2020-02-06 4.9-7
2019-05-07 4.9-6
2019-03-07 4.9-5
2018-05-06 4.9-3
2015-12-25 4.9-2
2013-10-29 4.8-3.4
2013-06-28 4.8-3.1
2013-04-27 4.8-2
2013-02-16 4.8-1.2
2012-09-28 4.8-1
2012-01-19 4.8-0
2011-05-20 4.7-14
2011-05-04 4.7-13
2011-04-23 4.7-12
2010-10-23 4.7-11
2010-08-13 4.7-10
2010-05-10 4.7-9
2010-05-09 4.7-8
2010-05-06 4.7-7
2009-04-01 4.7-6
2009-01-13 4.7-5
2008-10-23 4.7-3
2008-06-26 4.6-2
2008-01-22 4.6-1
2007-09-21 4.5-3
2007-08-25 4.5-2
2007-08-07 4.4-14
2007-07-28 4.4-10
2007-06-10 4.4-7

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