Wed, 20 Nov 2019

New package sharpshootR with initial version 1.5
Package: sharpshootR
Type: Package
Title: A Soil Survey Toolkit
Description: Miscellaneous soil data management, summary, visualization, and conversion utilities to support soil survey.
Version: 1.5
Date: 2019-11-18
Authors@R: c( person(given="Dylan", family="Beaudette", role = c("cre"), email = "dylan.beaudette@usda.gov"), person(given="Jay", family="Skovlin", role = c("aut")), person(given="Stephen", family="Roecker", role = c("aut")), person(given="USDA-NRCS Soil Survey Staff", family="", role = c("ctb")) )
Author: Dylan Beaudette [cre], Jay Skovlin [aut], Stephen Roecker [aut], USDA-NRCS Soil Survey Staff [ctb]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>
LazyLoad: yes
LazyData: true
License: GPL (>= 3)
Repository: CRAN
URL: https://github.com/ncss-tech/aqp
BugReports: https://github.com/ncss-tech/aqp/issues
Suggests: MASS, rgdal, spdep, circlize, rvest, xml2, rgeos, raster, httr, jsonlite, dendextend, testthat, hydromad
Depends: R (>= 3.0.0)
Imports: grDevices, graphics, methods, stats, utils, aqp, ape, soilDB, igraph, cluster, lattice, latticeExtra, vegan, sp, reshape2, Hmisc, scales, circular, RColorBrewer, plyr, digest, e1071, stringi, parallel
Additional_repositories: http://hydromad.catchment.org
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-11-20 22:39:12 UTC; Dylan.Beaudette
Date/Publication: 2019-11-20 23:40:02 UTC

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Package NNS updated to version 0.4.7.1 with previous version 0.4.7 dated 2019-11-19

Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization and Stochastic dominance. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>

Diff between NNS versions 0.4.7 dated 2019-11-19 and 0.4.7.1 dated 2019-11-20

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Package ConvergenceClubs updated to version 2.2.1 with previous version 1.4.3 dated 2018-12-14

Title: Finding Convergence Clubs
Description: Functions for clustering regions that form convergence clubs, according to the definition of Phillips and Sul (2009) <doi:10.1002/jae.1080>. A package description is available in Sichera and Pizzuto (2019).
Author: Roberto Sichera [aut, cre, cph], Pietro Pizzuto [aut]
Maintainer: Roberto Sichera <rob.sichera@gmail.com>

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Package unifDAG updated to version 1.0.3 with previous version 1.0.2 dated 2019-04-04

Title: Uniform Sampling of Directed Acyclic Graphs
Description: Uniform sampling of Directed Acyclic Graphs (DAG) using exact enumeration by relating each DAG to a sequence of outpoints (nodes with no incoming edges) and then to a composition of integers as suggested by Kuipers, J. and Moffa, G. (2015) <doi:10.1007/s11222-013-9428-y>.
Author: Markus Kalisch [aut, cre], Manuel Schuerch [ctb]
Maintainer: Markus Kalisch <kalisch@stat.math.ethz.ch>

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Package tkRplotR updated to version 0.1.2 with previous version 0.1.1 dated 2018-02-23

Title: Display Resizable Plots
Description: Display a plot in a Tk canvas.
Author: Filipe Campelo
Maintainer: Filipe Campelo <fcampelo@ci.uc.pt>

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Package rnoaa updated to version 0.9.5 with previous version 0.9.4 dated 2019-11-07

Title: 'NOAA' Weather Data from R
Description: Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at <https://www.ncdc.noaa.gov/cdo-web/webservices/v2>, with functions for each of the 'API' 'endpoints': data, data categories, data sets, data types, locations, location categories, and stations. In addition, we have an interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory, 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA' storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction center, and more.
Author: Scott Chamberlain [aut, cre], Brooke Anderson [ctb], Maëlle Salmon [ctb], Adam Erickson [ctb], Nicholas Potter [ctb], Joseph Stachelek [ctb], Alex Simmons [ctb], Karthik Ram [ctb], Hart Edmund [ctb]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package GeneralizedUmatrix updated to version 1.1.6 with previous version 1.1.5 dated 2019-02-03

Title: Credible Visualization for Two-Dimensional Projections of Data
Description: Projections are common dimensionality reduction methods, which represent high-dimensional data in a two-dimensional space. However, when restricting the output space to two dimensions, which results in a two dimensional scatter plot (projection) of the data, low dimensional similarities do not represent high dimensional distances coercively [Thrun, 2018]. This could lead to a misleading interpretation of the underlying structures [Thrun, 2018]. By means of the 3D topographic map the generalized Umatrix is able to depict errors of these two-dimensional scatter plots. The package is based on the book of Thrun, M.C.: "Projection Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9>.
Author: Michael Thrun [aut, cre, cph], Alfred Ultsch [ths]
Maintainer: Michael Thrun <m.thrun@gmx.net>

Diff between GeneralizedUmatrix versions 1.1.5 dated 2019-02-03 and 1.1.6 dated 2019-11-20

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Package FuzzyR updated to version 2.3 with previous version 2.2 dated 2019-11-12

Title: Fuzzy Logic Toolkit for R
Description: Design and simulate fuzzy logic systems using Type-1 and Interval Type-2 Fuzzy Logic. This toolkit includes with graphical user interface (GUI) and an adaptive neuro- fuzzy inference system (ANFIS). This toolkit is a continuation from the previous package ('FuzzyToolkitUoN'). Produced by the Intelligent Modelling & Analysis Group (IMA) and Lab for UnCertainty In Data and decision making (LUCID), University of Nottingham.
Author: Chao Chen, Jon Garibaldi, Tajul Razak
Maintainer: Chao Chen <fuzzyr@cs.nott.ac.uk>

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Package FindIt updated to version 1.2.0 with previous version 1.1.4 dated 2018-04-11

Title: Finding Heterogeneous Treatment Effects
Description: The heterogeneous treatment effect estimation procedure proposed by Imai and Ratkovic (2013)<DOI: 10.1214/12-AOAS593>. The proposed method is applicable, for example, when selecting a small number of most (or least) efficacious treatments from a large number of alternative treatments as well as when identifying subsets of the population who benefit (or are harmed by) a treatment of interest. The method adapts the Support Vector Machine classifier by placing separate LASSO constraints over the pre-treatment parameters and causal heterogeneity parameters of interest. This allows for the qualitative distinction between causal and other parameters, thereby making the variable selection suitable for the exploration of causal heterogeneity. The package also contains a class of functions, CausalANOVA, which estimates the average marginal interaction effects (AMIEs) by a regularized ANOVA as proposed by Egami and Imai (2019)<DOI:10.1080/01621459.2018.1476246>. It contains a variety of regularization techniques to facilitate analysis of large factorial experiments.
Author: Naoki Egami, Marc Ratkovic, Kosuke Imai
Maintainer: Naoki Egami <negami@princeton.edu>

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Package finalfit updated to version 0.9.6 with previous version 0.9.5 dated 2019-09-10

Title: Quickly Create Elegant Regression Results Tables and Plots when Modelling
Description: Generate regression results tables and plots in final format for publication. Explore models and export directly to PDF and 'Word' using 'RMarkdown'.
Author: Ewen Harrison [aut, cre], Tom Drake [aut], Riinu Ots [aut]
Maintainer: Ewen Harrison <ewen.harrison@ed.ac.uk>

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More information about finalfit at CRAN
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Package lineqGPR updated to version 0.1.0 with previous version 0.0.4 dated 2019-06-11

Title: Gaussian Process Regression Models with Linear Inequality Constraints
Description: Gaussian processes regression models with linear inequality constraints (Lopez-Lopera et al., 2018) <doi:10.1137/17M1153157>.
Author: Andres Felipe LOPEZ-LOPERA
Maintainer: Andres Felipe LOPEZ-LOPERA <andres-felipe.lopez@emse.fr>

Diff between lineqGPR versions 0.0.4 dated 2019-06-11 and 0.1.0 dated 2019-11-20

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Package hypr updated to version 0.1.4 with previous version 0.1.3 dated 2019-10-18

Title: Hypothesis Matrix Translation
Description: Translation between experimental null hypotheses, hypothesis matrices, and contrast matrices as used in linear regression models. The package is based on the method described in Schad, Vasishth, Hohenstein, and Kliegl (2019) <doi:10.1016/j.jml.2019.104038>.
Author: Maximilian M. Rabe [aut, cre], Shravan Vasishth [aut], Sven Hohenstein [aut], Reinhold Kliegl [aut], Daniel J. Schad [aut]
Maintainer: Maximilian M. Rabe <maximilian.rabe@uni-potsdam.de>

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More information about hypr at CRAN
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Package fungible updated to version 1.93 with previous version 1.92 dated 2019-10-14

Title: Psychometric Functions from the Waller Lab
Description: Computes fungible coefficients and Monte Carlo data. Underlying theory for these functions is described in the following publications: Waller, N. (2008). Fungible Weights in Multiple Regression. Psychometrika, 73(4), 691-703, <DOI:10.1007/s11336-008-9066-z>. Waller, N. & Jones, J. (2009). Locating the Extrema of Fungible Regression Weights. Psychometrika, 74(4), 589-602, <DOI:10.1007/s11336-008-9087-7>. Waller, N. G. (2016). Fungible Correlation Matrices: A Method for Generating Nonsingular, Singular, and Improper Correlation Matrices for Monte Carlo Research. Multivariate Behavioral Research, 51(4), 554-568, <DOI:10.1080/00273171.2016.1178566>. Jones, J. A. & Waller, N. G. (2015). The normal-theory and asymptotic distribution-free (ADF) covariance matrix of standardized regression coefficients: theoretical extensions and finite sample behavior. Psychometrika, 80, 365-378, <DOI:10.1007/s11336-013-9380-y>. Waller, N. G. (2018). Direct Schmid-Leiman transformations and rank-deficient loadings matrices. Psychometrika, 83, 858-870. <DOI:10.1007/s11336-017-9599-0>.
Author: Niels Waller [aut, cre], Jeff Jones [ctb], Casey Giordano [ctb]
Maintainer: Niels Waller <nwaller@umn.edu>

Diff between fungible versions 1.92 dated 2019-10-14 and 1.93 dated 2019-11-20

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Package boostmtree updated to version 1.4.0 with previous version 1.3.0 dated 2018-08-13

Title: Boosted Multivariate Trees for Longitudinal Data
Description: Implements Friedman's gradient descent boosting algorithm for modeling of continuous or binary longitudinal response using multivariate tree base learners. A time-covariate interaction effect is modeled using penalized B-splines (P-splines) with estimated adaptive smoothing parameter.
Author: Hemant Ishwaran <hemant.ishwaran@gmail.com>, Amol Pande <amoljpande@gmail.com>
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

Diff between boostmtree versions 1.3.0 dated 2018-08-13 and 1.4.0 dated 2019-11-20

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New package remss with initial version 1.0.0
Package: remss
Title: Refining Evaluation Methodology on Stage System
Version: 1.0.0
Authors@R: c(person(given = "Wei", family = "Xu", role = c("aut"), email = "Wei.Xu@uhnresearch.ca"), person(given = "Susie", family = "Su", role = c("aut"), email = "Susie.Su@uhnresearch.ca"), person(given = "Yi", family = "Zhu", role = c("cre"), email = "yizhu87@gmail.com"))
Description: T (extent of the primary tumor), N (absence or presence and extent of regional lymph node metastasis) and M (absence or presence of distant metastasis) are three components to describe the anatomical tumor extent. TNM stage is important in treatment decision-making and outcome predicting. The existing oropharyngeal Cancer (OPC) TNM stages have not made distinction of the two sub sites of Human papillomavirus positive (HPV+) and Human papillomavirus negative (HPV-) diseases. We developed novel criteria to assess performance of the TNM stage grouping schemes based on parametric modeling adjusting on important clinical factors. These criteria evaluate the TNM stage grouping scheme in five different measures: hazard consistency, hazard discrimination, explained variation, likelihood difference, and balance. The methods are described in Xu, W., et al. (2015) <https://www.austinpublishinggroup.com/biometrics/fulltext/biometrics-v2-id1014.php>.
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: survival
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-10-24 17:33:15 UTC; Yi
Author: Wei Xu [aut], Susie Su [aut], Yi Zhu [cre]
Maintainer: Yi Zhu <yizhu87@gmail.com>
Repository: CRAN
Date/Publication: 2019-11-20 16:30:02 UTC

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New package penPHcure with initial version 1.0.1
Package: penPHcure
Type: Package
Title: Variable Selection in PH Cure Model with Time-Varying Covariates
Version: 1.0.1
Date: 2019-10-10
Authors@R: c(person(given = "Alessandro", family = "Beretta", role = c("aut", "cre"), email = "a.beretta@uliege.be", comment = c(ORCID = "0000-0002-0427-8785")), person(given = "Cédric", family = "Heuchenne", role = "aut", comment = c(ORCID = "0000-0002-3150-3044")))
Description: Implementation of the semi-parametric proportional-hazards (PH) of Sy and Taylor (2000) <doi:10.1111/j.0006-341X.2000.00227.x> extended to time-varying covariates. Estimation and variable selection are based on the methodology described in Beretta and Heuchenne (2019) <doi:10.1080/02664763.2018.1554627>; confidence intervals of the parameter estimates may be computed using a bootstrap approach. Moreover, data following the PH cure model may be simulated using a method similar to Hendry (2014) <doi:10.1002/sim.5945>, where the event-times are generated on a continuous scale from a piecewise exponential distribution conditional on time-varying covariates.
License: GPL-2 | GPL-3
Copyright: Copyright (C) 2019 University of Liège (Belgium).
Encoding: UTF-8
Imports: Rcpp, MASS, Rdpack
Depends: survival, R (>= 3.5)
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/a-beretta/penPHcure
BugReports: https://github.com/a-beretta/penPHcure/issues
RoxygenNote: 6.1.1
RdMacros: Rdpack
LazyData: true
NeedsCompilation: yes
Packaged: 2019-11-05 10:52:18 UTC; alessandroberetta
Author: Alessandro Beretta [aut, cre] (<https://orcid.org/0000-0002-0427-8785>), Cédric Heuchenne [aut] (<https://orcid.org/0000-0002-3150-3044>)
Maintainer: Alessandro Beretta <a.beretta@uliege.be>
Repository: CRAN
Date/Publication: 2019-11-20 16:50:02 UTC

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New package MazamaLocationUtils with initial version 0.1.6
Type: Package
Package: MazamaLocationUtils
Version: 0.1.6
Title: Manage Spatial Metadata for Known Locations
Authors@R: c( person("Jonathan", "Callahan", email="jonathan.s.callahan@gmail.com", role=c("aut","cre")) )
Author: Jonathan Callahan [aut, cre]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>
Description: A suite of utility functions for discovering and managing metadata associated with sets of spatially unique "known locations".
License: GPL-3
URL: https://github.com/MazamaScience/MazamaCoreUtils
BugReports: https://github.com/MazamaScience/MazamaCoreUtils/issues
Depends: R (>= 3.1.0)
Imports: digest, dplyr, geodist, httr, lubridate, methods, magrittr, MazamaCoreUtils, MazamaSpatialUtils, readr, revgeo, rlang, stringr
Suggests: knitr, markdown, testthat (>= 2.1.0), rmarkdown, roxygen2
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-11-02 00:34:58 UTC; jonathan
Repository: CRAN
Date/Publication: 2019-11-20 16:40:02 UTC

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Package QZ updated to version 0.1-8 with previous version 0.1-7 dated 2019-06-05

Title: Generalized Eigenvalues and QZ Decomposition
Description: Generalized eigenvalues and eigenvectors use QZ decomposition (generalized Schur decomposition). The decomposition needs an N-by-N non-symmetric matrix A or paired matrices (A,B) with eigenvalues reordering mechanism. The decomposition functions are mainly based Fortran subroutines in complex*16 and double precision of LAPACK library (version 3.4.2. or later).
Author: Wei-Chen Chen [aut, cre], LAPACK authors [aut, cph]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

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Package joint.Cox updated to version 3.7 with previous version 3.6 dated 2019-09-17

Title: Joint Frailty-Copula Models for Tumour Progression and Death in Meta-Analysis
Description: Perform likelihood estimation and dynamic prediction under joint frailty-copula models for tumour progression and death in meta-analysis. A penalized likelihood method is employed for estimating model parameters, where the baseline hazard functions are modeled by smoothing splines. The methods are applicable for meta-analytic data combining several studies. The methods can analyze data having information on both terminal event time (e.g., time-to-death) and non-terminal event time (e.g., time-to-tumour progression). See Emura et al. (2017) <doi:10.1177/0962280215604510> for likelihood estimation, and Emura et al. (2018) <doi:10.1177/0962280216688032> for dynamic prediction. More details on these methods can also be found in a book of Emura et al. (2019) <doi:10.1007/978-981-13-3516-7>. Survival data from ovarian cancer patients are also available.
Author: Takeshi Emura
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

Diff between joint.Cox versions 3.6 dated 2019-09-17 and 3.7 dated 2019-11-20

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Package missMDA updated to version 1.15 with previous version 1.14 dated 2019-01-23

Title: Handling Missing Values with Multivariate Data Analysis
Description: Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with and in PCA or MCA.
Author: Francois Husson, Julie Josse
Maintainer: Francois Husson <husson@agrocampus-ouest.fr>

Diff between missMDA versions 1.14 dated 2019-01-23 and 1.15 dated 2019-11-20

 DESCRIPTION             |   10 -
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More information about missMDA at CRAN
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Package SIS updated to version 0.8-7 with previous version 0.8-6 dated 2018-02-13

Title: Sure Independence Screening
Description: Variable selection techniques are essential tools for model selection and estimation in high-dimensional statistical models. Through this publicly available package, we provide a unified environment to carry out variable selection using iterative sure independence screening (SIS) (Fan and Lv (2008)<doi:10.1111/j.1467-9868.2008.00674.x>) and all of its variants in generalized linear models (Fan and Song (2009)<doi:10.1214/10-AOS798>) and the Cox proportional hazards model (Fan, Feng and Wu (2010)<doi:10.1214/10-IMSCOLL606>).
Author: Yang Feng [aut, cre], Jianqing Fan [aut], Diego Franco Saldana [aut], Yichao Wu [aut], Richard Samworth [aut]
Maintainer: Yang Feng <yang.feng@nyu.edu>

Diff between SIS versions 0.8-6 dated 2018-02-13 and 0.8-7 dated 2019-11-20

 DESCRIPTION |   29 +++++++++++++++++++----------
 MD5         |    6 +++---
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 man/SIS.Rd  |   13 +++++++++----
 4 files changed, 47 insertions(+), 24 deletions(-)

More information about SIS at CRAN
Permanent link

Package quadprog updated to version 1.5-8 with previous version 1.5-7 dated 2019-05-06

Title: Functions to Solve Quadratic Programming Problems
Description: This package contains routines and documentation for solving quadratic programming problems.
Author: S original by Berwin A. Turlach <Berwin.Turlach@gmail.com> R port by Andreas Weingessel <Andreas.Weingessel@ci.tuwien.ac.at> Fortran contributions from Cleve Moler (dposl/LINPACK and (a modified version of) dpodi/LINPACK)
Maintainer: Berwin A. Turlach <Berwin.Turlach@gmail.com>

Diff between quadprog versions 1.5-7 dated 2019-05-06 and 1.5-8 dated 2019-11-20

 ChangeLog              |   12 ++++++++++++
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 src/solve.QP.compact.f |    4 ++--
 src/solve.QP.f         |    4 ++--
 5 files changed, 28 insertions(+), 14 deletions(-)

More information about quadprog at CRAN
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Package parameters updated to version 0.3.0 with previous version 0.2.0 dated 2019-09-26

Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between parameters versions 0.2.0 dated 2019-09-26 and 0.3.0 dated 2019-11-20

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More information about parameters at CRAN
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Package selectr updated to version 0.4-2 with previous version 0.4-1 dated 2018-04-06

Title: Translate CSS Selectors to XPath Expressions
Description: Translates a CSS3 selector into an equivalent XPath expression. This allows us to use CSS selectors when working with the XML package as it can only evaluate XPath expressions. Also provided are convenience functions useful for using CSS selectors on XML nodes. This package is a port of the Python package 'cssselect' (<https://cssselect.readthedocs.io/>).
Author: Simon Potter [aut, trl, cre], Simon Sapin [aut], Ian Bicking [aut]
Maintainer: Simon Potter <simon@sjp.co.nz>

Diff between selectr versions 0.4-1 dated 2018-04-06 and 0.4-2 dated 2019-11-20

 DESCRIPTION                       |    8 +-
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 tests/testthat/test-xpath.R       |   12 ++--
 13 files changed, 164 insertions(+), 159 deletions(-)

More information about selectr at CRAN
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Package sdcMicro (with last version 5.4.1) was removed from CRAN

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

2019-10-30 5.4.1
2019-05-16 5.4.0
2018-05-16 5.3.0
2018-04-13 5.2.0
2018-01-26 5.1.0
2017-10-20 5.0.4
2017-08-10 5.0.3
2017-05-24 5.0.2
2017-03-14 5.0.1
2017-01-04 5.0.0
2016-08-19 4.6.1
2015-10-01 4.6.0
2015-05-04 4.5.0
2014-07-18 4.4.0
2014-03-03 4.3.0
2014-01-10 4.2.0
2013-11-04 4.1.0
2013-06-12 4.0.3
2013-04-22 4.0.2
2013-04-06 4.0.1
2013-03-22 4.0.0
2012-09-04 3.1.2
2012-04-12 3.1.1
2012-03-20 3.1.0
2012-01-28 3.0.0
2011-11-10 2.6.7
2010-12-03 2.6.6
2010-08-17 2.6.5
2009-12-01 2.6.4
2009-11-29 2.6.3
2009-10-22 2.6.2
2009-09-18 2.6.1
2009-03-09 2.5.8
2009-02-10 2.5.7
2009-01-29 2.5.5
2008-09-05 2.5.1
2008-06-10 2.5.0
2008-02-29 2.4.1
2008-02-07 2.2.0
2007-09-21 2.1.0
2007-09-07 2.0.4
2007-09-01 2.0.3
2007-07-28 2.0.2
2007-07-13 2.0.1
2007-06-19 1.3.1

Permanent link
Package rpostgis updated to version 1.4.3 with previous version 1.4.2 dated 2018-11-12

Title: R Interface to a 'PostGIS' Database
Description: Provides an interface between R and 'PostGIS'-enabled 'PostgreSQL' databases to transparently transfer spatial data. Both vector (points, lines, polygons) and raster data are supported in read and write modes. Also provides convenience functions to execute common procedures in 'PostgreSQL/PostGIS'.
Author: Mathieu Basille [aut], David Bucklin [aut, cre]
Maintainer: David Bucklin <david.bucklin@gmail.com>

Diff between rpostgis versions 1.4.2 dated 2018-11-12 and 1.4.3 dated 2019-11-20

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Package pbdMPI updated to version 0.4-0 with previous version 0.3-9 dated 2019-04-07

Title: Programming with Big Data -- Interface to MPI
Description: An efficient interface to MPI by utilizing S4 classes and methods with a focus on Single Program/Multiple Data ('SPMD') parallel programming style, which is intended for batch parallel execution.
Author: Wei-Chen Chen [aut, cre], George Ostrouchov [aut], Drew Schmidt [aut], Pragneshkumar Patel [aut], Hao Yu [aut], Christian Heckendorf [ctb] (FreeBSD), Brian Ripley [ctb] (Windows HPC Pack 2012), R Core team [ctb] (some functions are modified from the base packages), Sebastien Lamy de la Chapelle [aut] (fix check type for send/recv long vectors)
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

Diff between pbdMPI versions 0.3-9 dated 2019-04-07 and 0.4-0 dated 2019-11-20

 ChangeLog               |   10 ++++++++++
 DESCRIPTION             |   20 ++++++++++++--------
 MD5                     |   31 ++++++++++++++++++++++---------
 R/spmd_isend.r          |   13 ++++++++++---
 R/spmd_recv.r           |   33 ++++++++++++++++-----------------
 R/spmd_send.r           |   32 +++++++++++++++++++-------------
 R/windows/zzz.r         |    2 +-
 R/zzz.r.in              |    2 +-
 inst/mpi_valgrind       |only
 man/ac_isend-method.Rd  |    7 ++++++-
 man/zz_spmd_internal.Rd |    6 +++++-
 11 files changed, 102 insertions(+), 54 deletions(-)

More information about pbdMPI at CRAN
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