Wed, 18 Oct 2017

Package SubTite updated to version 2.0.0 with previous version 1.1.1 dated 2017-08-24

Title: Subgroup Specific Optimal Dose Assignment
Description: Contains functions for choosing subgroup specific optimal doses in a phase I dose finding clinical trial allowing for subgroup combination and simulating a clinical trial under the subgroup specific time to event continual reassessment method.
Author: Andrew Chapple
Maintainer: Andrew Chapple <andrew.g.chapple@rice.edu>

Diff between SubTite versions 1.1.1 dated 2017-08-24 and 2.0.0 dated 2017-10-18

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 16 files changed, 8000 insertions(+), 1166 deletions(-)

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Package SparseDC updated to version 0.1.14 with previous version 0.1.12 dated 2017-09-17

Title: Implementation of SparseDC Algorithm
Description: Implements the algorithm described in Barron, M., Zhang, S. and Li, J. "A sparse differential clustering algorithm for tracing cell type changes via single-cell RNA-sequencing data" (Unpublished). This algorithm clusters samples from two different populations, links the clusters across the conditions and identifies marker genes for these changes. The package was designed for scRNA-Seq data but is also applicable to many other data types, just replace cells with samples and genes with variables. The package also contains functions for estimating the parameters for SparseDC as outlined in the paper.
Author: Jun Li [aut, cre], Martin Barron [aut]
Maintainer: Jun Li <jun.li@nd.edu>

Diff between SparseDC versions 0.1.12 dated 2017-09-17 and 0.1.14 dated 2017-10-18

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More information about SparseDC at CRAN
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Package onemap updated to version 2.1.1 with previous version 2.1.0 dated 2017-10-10

Title: Construction of Genetic Maps in Experimental Crosses: Full-Sib, RILs, F2 and Backcrosses
Description: Analysis of molecular marker data from model (backcrosses, F2 and recombinant inbred lines) and non-model systems (i. e. outcrossing species). For the later, it allows statistical analysis by simultaneously estimating linkage and linkage phases (genetic map construction) according to Wu et al. (2002) <doi:10.1006/tpbi.2002.1577>. All analysis are based on multipoint approaches using hidden Markov models.
Author: Gabriel Margarido [aut], Marcelo Mollinari [aut], Karl Broman [ctb], Rodrigo Amadeu [ctb], Cristiane Taniguti [ctb, cre], Augusto Garcia [aut, ctb]
Maintainer: Cristiane Taniguti <chtaniguti@usp.br>

Diff between onemap versions 2.1.0 dated 2017-10-10 and 2.1.1 dated 2017-10-18

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More information about onemap at CRAN
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Package Haplin updated to version 6.2.1 with previous version 6.2.0 dated 2017-02-28

Title: Analyzing Case-Parent Triad and/or Case-Control Data with SNP Haplotypes
Description: Performs genetic association analyses of case-parent triad (trio) data with multiple markers. It can also incorporate complete or incomplete control triads, for instance independent control children. Estimation is based on haplotypes, for instance SNP haplotypes, even though phase is not known from the genetic data. 'Haplin' estimates relative risk (RR + conf.int.) and p-value associated with each haplotype. It uses maximum likelihood estimation to make optimal use of data from triads with missing genotypic data, for instance if some SNPs has not been typed for some individuals. 'Haplin' also allows estimation of effects of maternal haplotypes and parent-of-origin effects, particularly appropriate in perinatal epidemiology. 'Haplin' allows special models, like X-inactivation, to be fitted on the X-chromosome. A GxE analysis allows testing interactions between environment and all estimated genetic effects. The models were originally described in Gjessing, HK and Lie, RT (2006) <doi:10.1111/j.1529-8817.2005.00218.x>.
Author: Hakon K. Gjessing
Maintainer: Hakon K. Gjessing <hakon.gjessing@uib.no>

Diff between Haplin versions 6.2.0 dated 2017-02-28 and 6.2.1 dated 2017-10-18

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Package gpuR updated to version 2.0.0 with previous version 1.2.1 dated 2017-01-05

Title: GPU Functions for R Objects
Description: Provides GPU enabled functions for R objects in a simple and approachable manner. New gpu* and vcl* classes have been provided to wrap typical R objects (e.g. vector, matrix), in both host and device spaces, to mirror typical R syntax without the need to know OpenCL.
Author: Charles Determan Jr.
Maintainer: Charles Determan Jr. <cdetermanjr@gmail.com>

Diff between gpuR versions 1.2.1 dated 2017-01-05 and 2.0.0 dated 2017-10-18

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Package FactoRizationMachines updated to version 0.35 with previous version 0.21 dated 2017-08-08

Title: Machine Learning with Higher-Order Factorization Machines
Description: Implementation of different machine learning approaches: Support Vector Machine with a linear kernel, second-order Factorization Machine, higher-order Factorization Machine, and adaptive-order Factorization Machine.
Author: Julian Knoll
Maintainer: Julian Knoll <julian.knoll@th-nuernberg.de>

Diff between FactoRizationMachines versions 0.21 dated 2017-08-08 and 0.35 dated 2017-10-18

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More information about FactoRizationMachines at CRAN
Permanent link

Package purrr updated to version 0.2.4 with previous version 0.2.3 dated 2017-08-02

Title: Functional Programming Tools
Description: A complete and consistent functional programming toolkit for R.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], RStudio [cph, fnd]
Maintainer: Lionel Henry <lionel@rstudio.com>

Diff between purrr versions 0.2.3 dated 2017-08-02 and 0.2.4 dated 2017-10-18

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More information about purrr at CRAN
Permanent link

Package jomo updated to version 2.5-1 with previous version 2.4-1 dated 2017-06-06

Title: Multilevel Joint Modelling Multiple Imputation
Description: Similarly to Schafer's package 'pan', 'jomo' is a package for multilevel joint modelling multiple imputation. Novel aspects of 'jomo' are the possibility of handling binary and categorical data through latent normal variables, the option to use cluster-specific covariance matrices and to impute compatibly with the substantive model.
Author: Matteo Quartagno, James Carpenter
Maintainer: Matteo Quartagno <matteo.quartagno@lshtm.ac.uk>

Diff between jomo versions 2.4-1 dated 2017-06-06 and 2.5-1 dated 2017-10-18

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 R/jomo1rancathr.MCMCchain.R |   28 ++++----
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 src/jomo1ranconhrC.c        |    3 
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 src/jomo2hrC.c              |    3 
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 76 files changed, 685 insertions(+), 402 deletions(-)

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Package irlba updated to version 2.3.1 with previous version 2.2.1 dated 2017-05-17

Title: Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices
Description: Fast and memory efficient methods for truncated singular value decomposition and principal components analysis of large sparse and dense matrices.
Author: Jim Baglama [aut, cph], Lothar Reichel [aut, cph], B. W. Lewis [aut, cre, cph]
Maintainer: B. W. Lewis <blewis@illposed.net>

Diff between irlba versions 2.2.1 dated 2017-05-17 and 2.3.1 dated 2017-10-18

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 NAMESPACE                   |    3 +
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 R/prcomp.R                  |   45 ++++++++++++++-
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 25 files changed, 350 insertions(+), 271 deletions(-)

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Package htm2txt updated to version 2.1.0 with previous version 2.0.0 dated 2017-10-14

Title: Convert Html into Text
Description: Convert a html document to simple plain texts by removing all html tags. This package utilizes regular expressions to strip off html tags. It also offers gettxt() and browse() function, which enables you to get or browse texts at a certain web page.
Author: Sangchul Park [aut, cre]
Maintainer: Sangchul Park <mail@sangchul.com>

Diff between htm2txt versions 2.0.0 dated 2017-10-14 and 2.1.0 dated 2017-10-18

 htm2txt-2.0.0/htm2txt/man/crawltxt.Rd |only
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 8 files changed, 111 insertions(+), 73 deletions(-)

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New package ewoc with initial version 0.1.0
Package: ewoc
Type: Package
Title: Escalation with Overdose Control
Version: 0.1.0
Author: Marcio A. Diniz <marcio.diniz@cshs.org>
Maintainer: Marcio A. Diniz <marcio.diniz@cshs.org>
Description: An implementation of a variety of escalation with overdose control designs introduced by Babb, Rogatko and Zacks (1998) <doi:10.1002/(SICI)1097-0258(19980530)17:10%3C1103::AID-SIM793%3E3.0.CO;2-9>. It calculates the next dose as a clinical trial proceeds as well as performs simulations to obtain operating characteristics.
License: GPL (>= 2)
LazyData: TRUE
URL: https://github.com/dnzmarcio/ewoc/
BugReports: https://github.com/dnzmarcio/ewoc/issues
Imports: Formula(>= 1.2-1), rjags(>= 4-6), coda(>= 0.18-1), ggplot2(>= 2.2.0), graphics(>= 3.3.1), stats(>= 3.3.1)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-10-18 16:40:59 UTC; DinizMA
Repository: CRAN
Date/Publication: 2017-10-18 18:10:55 UTC

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Package ciTools updated to version 0.2.1 with previous version 0.2.0 dated 2017-10-10

Title: Confidence or Prediction Intervals, Quantiles, and Probabilities for Statistical Models
Description: Functions to append confidence intervals, prediction intervals, and other quantities of interest to data frames. All appended quantities are for the response variable, after conditioning on the model and covariates. This package has a data frame first syntax that allows for easy piping. Currently supported models include (log-) linear, (log-) linear mixed, and generalized linear models.
Author: John Haman [cre, aut], Matthew Avery [aut], Institute for Defense Analyses [cph]
Maintainer: John Haman <mail@johnhaman.org>

Diff between ciTools versions 0.2.0 dated 2017-10-10 and 0.2.1 dated 2017-10-18

 DESCRIPTION          |    6 +++---
 MD5                  |   12 ++++++------
 R/add_ci_lm.R        |    6 ++----
 R/add_ci_lognormal.R |    6 ++----
 R/add_pi_glm.R       |    9 +++++++--
 R/add_probs_glm.R    |   33 ++++++++++++++++++++-------------
 R/add_quantile_glm.R |    4 ++++
 7 files changed, 44 insertions(+), 32 deletions(-)

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New package adjclust with initial version 0.5.2
Package: adjclust
Maintainer: Pierre Neuvial <pierre.neuvial@math.univ-toulouse.fr>
Authors@R: c(person("Christophe", "Ambroise", role="aut"), person("Shubham", "Chaturvedi", role="aut"), person("Alia", "Dehman", role="aut"), person("Michel", "Koskas", role="aut"), person("Pierre", "Neuvial", role=c("aut", "cre"), email="pierre.neuvial@math.univ-toulouse.fr"), person("Guillem", "Rigaill", role="aut"), person("Nathalie", "Villa-Vialaneix", role="aut"))
Date: 2017-10-16
Version: 0.5.2
License: GPL-3
Title: Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix
Description: Implements a constrained version of hierarchical agglomerative clustering, in which each observation is associated to a position, and only adjacent clusters can be merged. Typical application fields in bioinformatics include Genome-Wide Association Studies or Hi-C data analysis, where the similarity between items is a decreasing function of their genomic distance. Taking advantage of this feature, the implemented algorithm is time and memory efficient. This algorithm is described in Chapter 4 of Alia Dehman (2015) <https://hal.archives-ouvertes.fr/tel-01288568v1>.
Depends: R(>= 2.10.0)
Imports: Matrix, matrixStats, snpStats, methods, utils, HiTC,
Suggests: BiocStyle, knitr, testthat, rmarkdown, rioja
VignetteBuilder: knitr
URL: https://github.com/pneuvial/adjclust
BugReports: https://github.com/pneuvial/adjclust/issues
RoxygenNote: 6.0.1.9000
NeedsCompilation: yes
Packaged: 2017-10-17 12:08:09 UTC; pneuvial
Author: Christophe Ambroise [aut], Shubham Chaturvedi [aut], Alia Dehman [aut], Michel Koskas [aut], Pierre Neuvial [aut, cre], Guillem Rigaill [aut], Nathalie Villa-Vialaneix [aut]
Repository: CRAN
Date/Publication: 2017-10-18 18:17:39 UTC

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New package swa with initial version 0.8.1
Package: swa
Title: Subsampling Winner Algorithm for Classification
Version: 0.8.1
Authors@R: c(person("Xingye", "Qiao", email = "qiao@math.binghamton.edu", role = c("aut", "cre")),person("Jiayang", "Sun", email = "jsun@case.edu", role = c("aut")),person("Yiying", "Fan", email = "Y.FAN67@csuohio.edu", role = c("aut")))
Description: This algorithm conducts variable selection in the classification setting. It repeatedly subsamples variables and runs linear discriminant analysis (LDA) on the subsampled variables. Variables are scored based on the AUC and the t-statistics. Variables then enter a competition and the semi-finalist variables will be evaluated in a final round of LDA classification. The algorithm then outputs a list of variable selected. Qiao, Sun and Fan (2017) <http://people.math.binghamton.edu/qiao/swa.html>.
Depends: R (>= 3.3.1), ROCR, reshape, ggplot2
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-10-18 13:52:10 UTC; Xingye_Dell_5480
Author: Xingye Qiao [aut, cre], Jiayang Sun [aut], Yiying Fan [aut]
Maintainer: Xingye Qiao <qiao@math.binghamton.edu>
Repository: CRAN
Date/Publication: 2017-10-18 17:10:37 UTC

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New package RonFHIR with initial version 0.1.0
Package: RonFHIR
Type: Package
Title: Read and Search Interface to the 'HL7 FHIR' REST API
Version: 0.1.0
Authors@R: c(person("Sander", "Laverman", role = c("aut", "cre"), email = "s.laverman@furore.com"), person("Furore Health Informatics B.V.", role = c("aut", "cph")))
Description: R on FHIR is an easy to use wrapper around the 'HL7 FHIR' REST API (STU 3). It provides tools to easily read and search resources on a FHIR server and brings the results into the R environment. R on FHIR is based on the FhirClient of the official 'HL7 FHIR .NET API', also made by Furore Health Informatics.
License: BSD 3-clause License + file LICENSE
Imports: R6, httr, jsonlite
Suggests: testthat
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.0)
NeedsCompilation: no
RoxygenNote: 6.0.1
Packaged: 2017-10-18 13:41:22 UTC; Sander
Author: Sander Laverman [aut, cre], Furore Health Informatics B.V. [aut, cph]
Maintainer: Sander Laverman <s.laverman@furore.com>
Repository: CRAN
Date/Publication: 2017-10-18 17:17:52 UTC

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New package rabi with initial version 0.1.0
Package: rabi
Type: Package
Title: Generate Codes to Uniquely and Robustly Identify Individuals for Animal Behavior Studies
Version: 0.1.0
Authors@R: c( person("Andrew", "Burchill", "Taylor", role=c("aut","cre"), email="andrew.burchill@asu.edu"), person("Theodore", "P.", "Pavlic", role="ctb"))
Description: Facilitates the design and generation of optimal color (or symbol) codes that can be used to mark and identify individual animals. These codes are made such that the IDs are robust to partial erasure: even if sections of the code are lost, the entire identity of the animal can be reconstructed. Thus, animal subjects are not confused and no ambiguity is introduced.
License: GPL-3
LazyData: TRUE
VignetteBuilder: knitr
RoxygenNote: 6.0.1
Depends: R (>= 3.2.5)
Imports: numbers, polynom, stringdist, stats, utils
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2017-10-18 17:48:11 UTC; Andrew Burchill
Author: Andrew Taylor Burchill [aut, cre], Theodore Pavlic P. [ctb]
Maintainer: Andrew Taylor Burchill <andrew.burchill@asu.edu>
Repository: CRAN
Date/Publication: 2017-10-18 17:58:21 UTC

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New package NormalizeMets with initial version 0.21
Package: NormalizeMets
Type: Package
Title: Analysis of Metabolomics Data
Version: 0.21
Date: 2017-10-10
Author: Alysha M De Livera, Gavriel Olshansky
Maintainer: Alysha M De Livera <alyshad@unimelb.edu.au>
Description: Metabolomics data are inevitably subject to a component of unwanted variation, due to factors such as batch effects, matrix effects, and confounding biological variation. This package is a collection of functions designed to implement, assess, and choose a suitable normalization method for a given metabolomics study (De Livera et al (2015) <doi:10.1021/ac502439y> ).
License: GPL (>= 2)
LazyLoad: yes
Depends: R (>= 3.4.0)
Imports: RGtk2, impute, crmn, gplots, limma, plotly, statTarget, Biobase, DiffCorr, e1071, AUC, htmlwidgets, metabolomics, MetNorm, ggplot2, GGally, grid
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-10-18 13:17:24 UTC; alyshad
Repository: CRAN
Date/Publication: 2017-10-18 17:39:54 UTC

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Package simstudy updated to version 0.1.6 with previous version 0.1.5 dated 2017-10-03

Title: Simulation of Study Data
Description: Simulates data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates, and generates data based on these specifications. The final data sets can represent data from randomized control trials, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR).
Author: Keith Goldfeld [aut, cre]
Maintainer: Keith Goldfeld <Keith.Goldfeld@nyumc.org>

Diff between simstudy versions 0.1.5 dated 2017-10-03 and 0.1.6 dated 2017-10-18

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Package HHG updated to version 2.2 with previous version 2.1 dated 2017-08-13

Title: Heller-Heller-Gorfine Tests of Independence and Equality of Distributions
Description: Heller-Heller-Gorfine ('HHG') tests are a set of powerful statistical tests of multivariate k-sample homogeneity and independence. For the univariate case, the package also offers implementations of the 'MinP DDP' and 'MinP ADP' tests, which are consistent against all continuous alternatives but are distribution-free, and are thus much faster to apply.
Author: Barak Brill & Shachar Kaufman, based in part on an earlier implementation by Ruth Heller and Yair Heller.
Maintainer: Barak Brill <barakbri@mail.tau.ac.il>

Diff between HHG versions 2.1 dated 2017-08-13 and 2.2 dated 2017-10-18

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 HHG-2.2/HHG/R/HHG_univariate.R                 |   98 +++++++++++++++++++++----
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 HHG-2.2/HHG/README.md                          |only
 HHG-2.2/HHG/man/hhg.univariate.ind.pvalue.Rd   |    2 
 HHG-2.2/HHG/man/hhg.univariate.ind.stat.Rd     |    2 
 HHG-2.2/HHG/man/hhg.univariate.ks.nulltable.Rd |    2 
 HHG-2.2/HHG/man/hhg.univariate.ks.pvalue.Rd    |    2 
 HHG-2.2/HHG/man/hhg.univariate.ks.stat.Rd      |    2 
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 17 files changed, 118 insertions(+), 36 deletions(-)

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New package BayesRS with initial version 0.1.2
Package: BayesRS
Type: Package
Title: Bayes Factors for Hierarchical Linear Models with Continuous Predictors
Version: 0.1.2
Authors@R: c(person(given="Mirko", family="Thalmann", role=c("aut", "cre"), email="mirkothalmann@hotmail.com"), person(given="Marcel", family="Niklaus", role="aut"), person(given="Klaus", family="Oberauer", role="ths"),person(given="John", family="Kruschke", role="ctb"))
Depends: R (>= 3.0.0)
Imports: rjags, ggplot2, metRology, grid, reshape, methods, coda
Suggests: R.rsp
VignetteBuilder: R.rsp
Description: Runs hierarchical linear Bayesian models. Samples from the posterior distributions of model parameters in JAGS (Just Another Gibbs Sampler; Plummer, 2003, <http://mcmc-jags.sourceforge.net/>). Computes Bayes factors for group parameters of interest with the Savage-Dickey density ratio (Wetzels, Raaijmakers, Jakab, Wagenmakers, 2009, <doi:10.3758/PBR.16.4.752>).
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-10-17 15:49:20 UTC; henrik
Author: Mirko Thalmann [aut, cre], Marcel Niklaus [aut], Klaus Oberauer [ths], John Kruschke [ctb]
Maintainer: Mirko Thalmann <mirkothalmann@hotmail.com>
Repository: CRAN
Date/Publication: 2017-10-18 15:08:50 UTC

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New package NNMIS with initial version 1.0.0
Package: NNMIS
Type: Package
Title: Nearest Neighbor Based Multiple Imputation for Survival Data with Missing Covariates
Version: 1.0.0
Date: 2017-10-17
Author: Di Ran, Chiu-Hsieh Hsu, Mandi Yu
Maintainer: Paul Hsu <pablo1639@gmail.com>
Description: Imputation for both missing covariates and censored observations (optional) for survival data with missing covariates by the nearest neighbor based multiple imputation algorithm as described in Hsu et al. (2006) <doi:10.1002/sim.2452>, Long et al. (2012) <doi:10.5705/ss.2010.069>, Hsu et al. (2014) <doi:10.1080/10543406.2014.888444>, and Hsu and Yu (2017) <arXiv:1710.04721>. Note that the current version can only impute for a situation with one missing covariate.
License: LGPL (>= 2)
Depends: R (>= 2.14.0)
Imports: stats, graphics, parallel, survival
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-10-17 14:58:44 UTC; diran
Repository: CRAN
Date/Publication: 2017-10-18 13:08:54 UTC

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New package LAGOSNE with initial version 1.0.0
Package: LAGOSNE
Title: Interface to the Lake Multi-Scaled Geospatial and Temporal Database
Version: 1.0.0
Authors@R: c( person("Joseph", "Stachelek", email = "stachel2@msu.edu", role = c("aut", "cre"), comment = c(ORCID = c("0000-0002-5924-2464"))), person("Samantha","Oliver", role = c("aut"), comment = c(ORCID = c("0000-0001-5668-1165"))), person("Farzan","Masrour", role = c("aut")) )
URL: https://github.com/cont-limno/LAGOSNE
BugReports: https://github.com/cont-limno/LAGOSNE/issues
Description: Client for programmatic access to the Lake Multi-scaled Geospatial and Temporal database <https://lagoslakes.org>, with functions for accessing lake water quality and ecological context data for the US.
Depends: R (>= 3.3.1)
Imports: dplyr (>= 0.7.0), rappdirs (>= 0.3.1), lazyeval (>= 0.2), purrr (>= 0.2.2.2), magrittr (>= 1.5), sf, curl (>= 2.7.0), stringr (>= 1.2.0)
Suggests: testthat, knitr, rmarkdown, devtools, prettydoc, R.rsp
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: R.rsp, knitr
NeedsCompilation: no
Packaged: 2017-10-17 13:28:23 UTC; jose
Author: Joseph Stachelek [aut, cre] (0000-0002-5924-2464), Samantha Oliver [aut] (0000-0001-5668-1165), Farzan Masrour [aut]
Maintainer: Joseph Stachelek <stachel2@msu.edu>
Repository: CRAN
Date/Publication: 2017-10-18 13:27:10 UTC

More information about LAGOSNE at CRAN
Permanent link

Package HSAR updated to version 0.4.2 with previous version 0.4.0 dated 2016-05-24

Title: Hierarchical Spatial Autoregressive Model
Description: A Hierarchical Spatial Autoregressive Model (HSAR), based on a Bayesian Markov Chain Monte Carlo (MCMC) algorithm ( Dong and Harris (2014) <doi:10.1111/gean.12049> ). The creation of this package was supported by the Economic and Social Research Council (ESRC) through the Applied Quantitative Methods Network: Phase II, grant number ES/K006460/1.
Author: Guanpeng Dong, Richard Harris, Angelos Mimis
Maintainer: Angelos Mimis <mimis@panteion.gr>

Diff between HSAR versions 0.4.0 dated 2016-05-24 and 0.4.2 dated 2017-10-18

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New package GreedySBTM with initial version 1.0
Package: GreedySBTM
Type: Package
Title: Greedy Stochastic Block Transition Models
Version: 1.0
Date: 2017-10-10
Authors@R: person(given = "Riccardo", family = "Rastelli", role = c("aut", "cre"), email = "riccardo.rastelli@wu.ac.at")
Description: Performs clustering on the nodes of an undirected binary dynamic network, by maximising the exact integrated complete likelihood. The greedy algorithm used is described in Rastelli, R. (2017) "Exact integrated completed likelihood maximisation in a stochastic block transition model for dynamic networks" <arXiv:1710.03551>.
License: GPL-3
Imports: Rcpp (>= 0.12.10)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2017-10-18 08:29:58 UTC; rrastelli
Author: Riccardo Rastelli [aut, cre]
Maintainer: Riccardo Rastelli <riccardo.rastelli@wu.ac.at>
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2017-10-18 13:52:06 UTC

More information about GreedySBTM at CRAN
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Package satellite updated to version 1.0.1 with previous version 1.0.0 dated 2017-08-03

Title: Handling and Manipulating Remote Sensing Data
Description: Herein, we provide a broad variety of functions which are useful for handling, manipulating, and visualizing satellite-based remote sensing data. These operations range from mere data import and layer handling (eg subsetting), over Raster* typical data wrangling (eg crop, extend), to more sophisticated (pre-)processing tasks typically applied to satellite imagery (eg atmospheric and topographic correction). This functionality is complemented by a full access to the satellite layers' metadata at any stage and the documentation of performed actions in a separate log file. Currently available sensors include Landsat 4-5 (TM), 7 (ETM+), and 8 (OLI/TIRS Combined), and additional compatibility is ensured for the Landsat Global Land Survey data set. Moreover, support for Terra and Aqua-MODIS as well as PROBA-V is expected to arrive shortly.
Author: Thomas Nauss, Hanna Meyer, Tim Appelhans, Florian Detsch
Maintainer: Florian Detsch <fdetsch@web.de>

Diff between satellite versions 1.0.0 dated 2017-08-03 and 1.0.1 dated 2017-10-18

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More information about satellite at CRAN
Permanent link

New package rroad with initial version 0.0.4
Package: rroad
Type: Package
Title: Road Condition Analysis
Version: 0.0.4
Date: 2017-10-12
Authors@R: c( person("Viliam", "Simko", email = "viliam.simko@gmail.com", role = c("cre", "aut")), person("Kevin", "Laubis", email = "laubis@fzi.de", role = "aut"))
Description: Computation of the International Roughness Index (IRI) given a longitudinal road profile. The IRI can be calculated for a single road segment or for a sequence of segments with a fixed length (e. g. 100m). For the latter, an overlap of the segments can be selected. The IRI and likewise the algorithms for its determination are defined in Sayers, Michael W; Gillespie, Thomas D; Queiroz, Cesar A.V. 1986. The International Road Roughness Experiment (IRRE) : establishing correlation and a calibration standard for measurements. World Bank technical paper; no. WTP 45. Washington, DC : The World Bank. (ISBN 0-8213-0589-1) available from <http://documents.worldbank.org/curated/en/326081468740204115>.
License: MIT + file LICENSE
URL: http://github.com/vsimko/rroad
BugReports: http://github.com/vsimko/rroad/issues
LazyData: yes
Suggests: testthat, knitr, rmarkdown, zoo, biwavelet, dplyr
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-10-18 08:44:15 UTC; vlx
Author: Viliam Simko [cre, aut], Kevin Laubis [aut]
Maintainer: Viliam Simko <viliam.simko@gmail.com>
Repository: CRAN
Date/Publication: 2017-10-18 12:28:49 UTC

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Package mathpix updated to version 0.2.0 with previous version 0.1.0 dated 2017-09-27

Title: Support for the 'Mathpix' API (Image to 'LaTeX')
Description: Given an image of a formula (typeset or handwritten) this package provides calls to the 'Mathpix' service to produce the 'LaTeX' code which should generate that image, and pastes it into a (e.g. an 'rmarkdown') document. See <https://docs.mathpix.com/> for full details. 'Mathpix' is an external service and use of the API is subject to their terms and conditions.
Author: Jonathan Carroll [aut, cre] (0000-0002-1404-5264)
Maintainer: Jonathan Carroll <rpkg@jcarroll.com.au>

Diff between mathpix versions 0.1.0 dated 2017-09-27 and 0.2.0 dated 2017-10-18

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Package FlowRegEnvCost updated to version 0.1.1 with previous version 0.1.0 dated 2017-10-09

Title: The Environmental Costs of Flow Regulation
Description: An application to calculate the daily environmental costs of river flow regulation by dams based on GarcĂ­a de Jalon et al. 2017 <doi:10.1007/s11269-017-1663-0>.
Author: Silvestre Garcia de Jalon; Javier Martinez-Lopez; Marta Gonzalez del Tanago; Carlos Alonso; Diego Garcia de Jalon
Maintainer: Javier Martinez-Lopez <javi.martinez.lopez@gmail.com>

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Package SimInf updated to version 5.1.0 with previous version 5.0.0 dated 2017-06-13

Title: A Framework for Data-Driven Stochastic Disease Spread Simulations
Description: Livestock movements are important for the spread of many infectious diseases between herds. The package provides an efficient and flexible framework for stochastic disease spread modelling that integrates within-herd disease dynamics as continuous-time Markov chains and livestock movements between herds as scheduled events. The core simulation solver is implemented in C and uses 'OpenMP' (if available) to divide work over multiple processors. The package contains template models and can be extended with user defined models.
Author: Stefan Widgren (National Veterinary Institute, Sweden and Uppsala University, Sweden), Pavol Bauer (Uppsala University, Sweden), Stefan Engblom (Uppsala University, Sweden)
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>

Diff between SimInf versions 5.0.0 dated 2017-06-13 and 5.1.0 dated 2017-10-18

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Package ctsem updated to version 2.5.0 with previous version 2.4.0 dated 2017-05-17

Title: Continuous Time Structural Equation Modelling
Description: A multivariate continuous (and discrete) time dynamic modelling package for panel and time series data, using linear stochastic differential equations. Contains a faster frequentist set of functions using OpenMx for single subject and mixed-effects (random intercepts only) structural equation models, or a hierarchical Bayesian implementation using Stan that allows for random effects over all model parameters. Allows for modelling of multiple noisy measurements of multiple stochastic processes, time varying input / event covariates, and time invariant covariates used to predict the parameters.
Author: Charles Driver [aut, cre, cph], Manuel Voelkle [aut, cph], Han Oud [aut, cph]
Maintainer: Charles Driver <driver@mpib-berlin.mpg.de>

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Package areaplot updated to version 1.2-0 with previous version 1.1-0 dated 2017-10-10

Title: Plot Stacked Areas and Confidence Bands as Filled Polygons
Description: Plot stacked areas and confidence bands as filled polygons, or add polygons to existing plots. A variety of input formats are supported, including vectors, matrices, data frames, formulas, etc.
Author: Arni Magnusson [aut, cre]
Maintainer: Arni Magnusson <arni.magnusson@ices.dk>

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Package JMbayes updated to version 0.8-69 with previous version 0.8-68 dated 2017-10-02

Title: Joint Modeling of Longitudinal and Time-to-Event Data under a Bayesian Approach
Description: Shared parameter models for the joint modeling of longitudinal and time-to-event data using MCMC; Dimitris Rizopoulos (2016) <doi:10.18637/jss.v072.i07>.
Author: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

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Package geoRglm updated to version 0.9-11 with previous version 0.9-8 dated 2015-04-27

Title: A Package for Generalised Linear Spatial Models
Description: Functions for inference in generalised linear spatial models. The posterior and predictive inference is based on Markov chain Monte Carlo methods. Package geoRglm is an extension to the package geoR, which must be installed first.
Author: Ole F. Christensen [aut, cre], Paulo J. Ribeiro Jr [aut]
Maintainer: Ole F. Christensen <OleF.Christensen@mbg.au.dk>

Diff between geoRglm versions 0.9-8 dated 2015-04-27 and 0.9-11 dated 2017-10-18

 DESCRIPTION               |   13 ++++++-------
 MD5                       |   26 ++++++++++++++------------
 NAMESPACE                 |    3 +++
 R/binom.bayes.R           |    2 +-
 R/binom.pred.R            |    8 +++++---
 R/glsm.krige.R            |    9 ++++++---
 R/likeli.R                |    8 ++++----
 R/pois.bayes.R            |   15 +++++++++------
 R/pois.pred.R             |    4 +++-
 build/vignette.rds        |binary
 inst/CITATION             |    2 +-
 inst/doc/geoRglmintro.pdf |binary
 src/geoR.h                |    3 ++-
 src/geoRglm.h             |only
 src/init.c                |only
 15 files changed, 54 insertions(+), 39 deletions(-)

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Package gcerisk updated to version 17.10.17 with previous version 17.8.7 dated 2017-08-08

Title: Generalized Competing Event Model
Description: Generalized competing event model based on Cox PH model and Fine-Gray model. This function is designed to develop optimized risk-stratification methods for competing risks data, such as described in: 1. Carmona R, Gulaya S, Murphy JD, Rose BS, Wu J, Noticewala S,McHale MT, Yashar CM, Vaida F, and Mell LK (2014) <DOI:10.1016/j.ijrobp.2014.03.047>. 2. Carmona R, Zakeri K, Green G, Hwang L, Gulaya S, Xu B, Verma R, Williamson CW, Triplett DP, Rose BS, Shen H, Vaida F, Murphy JD, and Mell LK (2016) <DOI:10.1200/JCO.2015.65.0739>. 3. Lunn, Mary, and Don McNeil (1995) <DOI:10.2307/2532940>.
Author: Hanjie Shen <has072@ucsd.edu>, Ruben Carmona <ruben.carmona13@gmail.com>, Loren Mell <lmell@ucsd.edu>
Maintainer: Hanjie Shen <shenhanjie0418@gmail.com>

Diff between gcerisk versions 17.8.7 dated 2017-08-08 and 17.10.17 dated 2017-10-18

 DESCRIPTION   |    8 +--
 MD5           |   10 ++--
 R/gcecox.R    |  120 +++++++++++++++++++++++++++++-----------------------------
 R/gcefg.R     |   95 ++++++++++++++++++++++-----------------------
 man/gcecox.Rd |   72 +++++++++++-----------------------
 man/gcefg.Rd  |   37 +++++++----------
 6 files changed, 154 insertions(+), 188 deletions(-)

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