Sun, 03 Feb 2019

Package SoftClustering updated to version 1.1902.2 with previous version 1.1902 dated 2019-02-03

Title: Soft Clustering Algorithms
Description: It contains soft clustering algorithms, in particular approaches derived from rough set theory: Lingras & West original rough k-means, Peters' refined rough k-means, and PI rough k-means. It also contains classic k-means and a corresponding illustrative demo.
Author: G. Peters (Ed.)
Maintainer: G. Peters <peters.projects@outlook.com>

Diff between SoftClustering versions 1.1902 dated 2019-02-03 and 1.1902.2 dated 2019-02-03

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New package simone with initial version 1.0-4
Package: simone
Version: 1.0-4
Date: 2019-02-06
Title: Statistical Inference for MOdular NEtworks (SIMoNe)
Authors@R: c( person("Julien", "Chiquet", role = c("aut", "cre"), email = "julien.chiquet@inra.fr", comment = c(ORCID = "0000-0002-3629-3429")), person("Gilles", "Grasseau", role = "aut", email = "grasseau@llr.in2p3.fr"), person("Christophe", "Ambroise", role = "aut", email = "christophe.ambroise@genopole.cnrs.fr"), person("Camille", "Charbonnier", role = "ctb", email = "miyu.cc@gmail.com"), person("Alexander", "Smith", role = "ctb", email = "aatsmith@orange.fr"), person("Catherine", "Matias", role = "ctb", email = "Catherine.Matias@math.cnrs.fr") )
Maintainer: Julien Chiquet <julien.chiquet@inra.fr>
Depends: R (>= 3.1.1), blockmodels
Description: Implements the inference of co-expression networks based on partial correlation coefficients from either steady-state or time-course transcriptomic data. Note that with both type of data this package can deal with samples collected in different experimental conditions and therefore not identically distributed. In this particular case, multiple but related networks are inferred on one simone run.
License: GPL (>= 2)
URL: http://julien.cremeriefamily.info/simone.html
Encoding: UTF-8
Packaged: 2019-02-03 20:08:45 UTC; jchiquet
Repository: CRAN
Date/Publication: 2019-02-03 23:10:03 UTC
RoxygenNote: 5.0.1
NeedsCompilation: yes
Author: Julien Chiquet [aut, cre] (<https://orcid.org/0000-0002-3629-3429>), Gilles Grasseau [aut], Christophe Ambroise [aut], Camille Charbonnier [ctb], Alexander Smith [ctb], Catherine Matias [ctb]

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New package expp with initial version 1.2.4
Package: expp
Type: Package
Title: Spatial Analysis of Extra-Pair Paternity
Version: 1.2.4
Authors@R: c( person("Mihai", "Valcu", ,"valcu@orn.mpg.de", c("aut", "cre")), person("Lotte", "Schlicht", role = "ctb") )
Depends: R(>= 3.5.0)
Imports: graphics, methods, sp, stats, spdep, rgeos, deldir, spatstat
Suggests: roxygen2, knitr, lme4
VignetteBuilder: knitr
Description: Tools and data to accompany Schlicht, L., Valcu, M., & Kempenaers, B. (2015) <doi:10.1111/1365-2656.12293>. Spatial patterns of extra-pair paternity: beyond paternity gains and losses. Journal of Animal Ecology, 84(2), 518-531.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 6.1.1
Collate: 'AAA.R' 'eppMatrix.R' 'SpatialPointsBreeding.R' 'DirichletPolygons.R' 'epp.R' 'eppSimDat.R' 'expp-package.R' 'neighborsDataFrame.R'
NeedsCompilation: no
Packaged: 2019-01-28 11:11:18 UTC; mihai
Author: Mihai Valcu [aut, cre], Lotte Schlicht [ctb]
Maintainer: Mihai Valcu <valcu@orn.mpg.de>
Repository: CRAN
Date/Publication: 2019-02-03 23:13:46 UTC

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New package dpcR with initial version 0.5
Package: dpcR
Type: Package
Title: Digital PCR Analysis
Version: 0.5
LazyData: true
Date: 2019-02-01
Authors@R: c( person("Michal", "Burdukiewicz", email = "michalburdukiewicz@gmail.com", role = c("cre", "aut"), comment = c(ORCID = "0000-0001-8926-582X")), person("Stefan", "Roediger", email = "stefan.roedigier@b-tu.de", role = "aut", comment = c(ORCID = "0000-0002-1441-6512")), person("Bart", "Jacobs", email = "BartKM.Jacobs@ugent.be", role = "aut"), person("Piotr", "Sobczyk", email = "pj.sobczyk@gmail.com", role = "ctb"), person("Andrej-Nikolai", "Spiess", email = "draspiess@gmail.com", role = "ctb"))
Description: Analysis, visualisation and simulation of digital polymerase chain reaction (dPCR) (Burdukiewicz et al. (2016) <doi:10.1016/j.bdq.2016.06.004>). Supports data formats of commercial systems (Bio-Rad QX100 and QX200; Fluidigm BioMark) and other systems.
License: GPL-3
URL: https://github.com/michbur/dpcR
BugReports: https://github.com/michbur/dpcR/issues
Depends: R (>= 3.0.0), methods
Imports: binom, chipPCR, e1071, evd, dgof, multcomp, qpcR, pracma, rateratio.test, readxl, signal, shiny, spatstat
Suggests: digest, DT, ggplot2, knitr, markdown, rhandsontable, rmarkdown, shinythemes, xtable
VignetteBuilder: knitr
Packaged: 2019-02-03 21:07:59 UTC; michal
NeedsCompilation: no
Repository: CRAN
Encoding: UTF-8
RoxygenNote: 6.1.1
Maintainer: Michal Burdukiewicz <michalburdukiewicz@gmail.com>
Collate: 'AUCtest.R' 'BioradCNV.R' 'White.R' 'adpcr2panel.R' 'adpcr2ppp.R' 'binarize.R' 'classes.R' 'bind_dpcr.R' 'bioamp.R' 'calc_breaks.R' 'calc_coordinates.R' 'calc_lambda.R' 'compare_dens.R' 'count_test-class.R' 'create_dpcr.R' 'dPCRmethyl.R' 'ddpcRquant.R' 'df2dpcr.R' 'dpcR-package.R' 'dpcReport_gui.R' 'dpcr2df.R' 'dpcr_calculator.R' 'dpcr_density.R' 'dpcr_density_gui.R' 'dpcr_density_table.R' 'extract_run.R' 'fit_adpcr.R' 'fl.R' 'get_k_n.R' 'hsm.R' 'limit_cq.R' 'many_peaks.R' 'modlist.R' 'moments.R' 'num2int.R' 'pds.R' 'pds_raw.R' 'plot_distr.R' 'plot_panel.R' 'plot_vf_circ.R' 'plot_vic_fam.R' 'print_summary.R' 'qdpcr.R' 'qpcr2pp.R' 'qpcr_analyser.R' 'read_amp.R' 'read_dpcr.R' 'rename_dpcr.R' 'rtadpcr.R' 'safe_efficiency.R' 'show_dpcr.R' 'sim_adpcr.R' 'sim_ddpcr_bkm.R' 'sim_dpcr.R' 'simulations.R' 'six_panels.R' 'summary_dpcr.R' 'test_counts.R' 'test_counts_gui.R' 'test_panel.R' 'test_peaks.R' 'test_pooled.R' 'valid_amp.R' 'y_val_conf.R'
Author: Michal Burdukiewicz [cre, aut] (<https://orcid.org/0000-0001-8926-582X>), Stefan Roediger [aut] (<https://orcid.org/0000-0002-1441-6512>), Bart Jacobs [aut], Piotr Sobczyk [ctb], Andrej-Nikolai Spiess [ctb]
Date/Publication: 2019-02-03 23:13:49 UTC

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Package ARTool updated to version 0.10.6 with previous version 0.10.5 dated 2018-07-09

Title: Aligned Rank Transform
Description: The Aligned Rank Transform for nonparametric factorial ANOVAs as described by J. O. Wobbrock, L. Findlater, D. Gergle, & J. J. Higgins, "The Aligned Rank Transform for nonparametric factorial analyses using only ANOVA procedures", CHI 2011 <DOI:10.1145/1978942.1978963>.
Author: Matthew Kay [aut, cre], Jacob O. Wobbrock [aut]
Maintainer: Matthew Kay <mjskay@umich.edu>

Diff between ARTool versions 0.10.5 dated 2018-07-09 and 0.10.6 dated 2019-02-03

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Package rts updated to version 1.0-49 with previous version 1.0-47 dated 2018-10-19

Title: Raster Time Series Analysis
Description: This framework aims to provide classes and methods for manipulating and processing of raster time series data (e.g. a time series of satellite images).
Author: Babak Naimi
Maintainer: Babak Naimi <naimi.b@gmail.com>

Diff between rts versions 1.0-47 dated 2018-10-19 and 1.0-49 dated 2019-02-03

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Package SpaDES.addins updated to version 0.1.2 with previous version 0.1.1 dated 2018-02-02

Title: Development Tools for 'SpaDES' and 'SpaDES' Modules
Description: Provides 'RStudio' addins for 'SpaDES' packages and 'SpaDES' module development. See '?SpaDES.addins' for an overview of the tools provided.
Author: Alex M Chubaty [aut, cre] (<https://orcid.org/0000-0001-7146-8135>), Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <alex.chubaty@gmail.com>

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Package vagalumeR updated to version 0.1.6 with previous version 0.1.4 dated 2018-11-22

Title: Access to the 'Vagalume' API
Description: Provides access to the 'Vagalume' API <https://api.vagalume.com.br>. The data extracted is basically lyrics of songs and information about artists/bands.
Author: Bruna Wundervald
Maintainer: Bruna Wundervald <brunadaviesw@gmail.com>

Diff between vagalumeR versions 0.1.4 dated 2018-11-22 and 0.1.6 dated 2019-02-03

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Package robustlmm updated to version 2.3 with previous version 2.2-1 dated 2018-04-29

Title: Robust Linear Mixed Effects Models
Description: A method to fit linear mixed effects models robustly. Robustness is achieved by modification of the scoring equations combined with the Design Adaptive Scale approach.
Author: Manuel Koller
Maintainer: Manuel Koller <koller.manuel@gmail.com>

Diff between robustlmm versions 2.2-1 dated 2018-04-29 and 2.3 dated 2019-02-03

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Package impimp updated to version 0.3.1 with previous version 0.3.0 dated 2018-11-23

Title: Imprecise Imputation for Statistical Matching
Description: Imputing blockwise missing data by imprecise imputation, featuring a domain-based, variable-wise, and case-wise strategy. Furthermore, the estimation of lower and upper bounds for unconditional and conditional probabilities based on the obtained imprecise data is implemented. Additionally, two utility functions are supplied: one to check whether variables in a data set contain set-valued observations; and another to merge two already imprecisely imputed data. The method is described in a technical report by Endres, Fink and Augustin (2018, <doi:10.5282/ubm/epub.42423>).
Author: Paul Fink [aut, cre], Eva Endres [aut], Melissa Schmoll [ctb]
Maintainer: Paul Fink <paul.fink@stat.uni-muenchen.de>

Diff between impimp versions 0.3.0 dated 2018-11-23 and 0.3.1 dated 2019-02-03

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New package RobinHood with initial version 1.0.1
Package: RobinHood
Type: Package
Title: Interface for the RobinHood.com No Commission Investing Platform
Version: 1.0.1
Date: 2019-01-17
Author: Joseph Blubaugh
Maintainer: Joseph Blubaugh <jestonblu@gmail.com>
Description: Execute API calls to the RobinHood <https://robinhood.com> investing platform. Functionality includes accessing account data and current holdings, retrieving investment statistics and quotes, placing and canceling orders, getting market trading hours, searching investments by popular tag, and interacting with watch lists.
Imports: curl, jsonlite, magrittr, lubridate, profvis
License: GPL-3
URL: https://github.com/JestonBlu/RobinHood
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-02-03 05:09:08 UTC; jeston
Repository: CRAN
Date/Publication: 2019-02-03 17:24:28 UTC

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New package phase1PRMD with initial version 1.0.1
Package: phase1PRMD
Type: Package
Date: 2019-01-29
Title: Personalized Repeated Measurement Design for Phase I Clinical Trials
Version: 1.0.1
Author: Lu Zhang, Jun Yin
Maintainer: Lu Zhang <luzhangstat@gmail.com>
Description: Implements Bayesian phase I repeated measurement design that accounts for multidimensional toxicity endpoints and longitudinal efficacy measure from multiple treatment cycles. The package provides flags to fit a variety of model-based phase I design, including 1 stage models with or without individualized dose modification, 3-stage models with or without individualized dose modification, etc. Functions are provided to recommend dosage selection based on the data collected in the available patient cohorts and to simulate trial characteristics given design parameters. Yin, Jun, et al. (2017) <doi:10.1002/sim.7134>.
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
Depends: R (>= 3.0.0), coda (>= 0.13), ggplot2, stats
Encoding: UTF-8
LazyData: true
Imports: rjags, arrayhelpers, phase1RMD, MASS, reshape2, dplyr, plyr, RColorBrewer, gridExtra, kableExtra, knitr
RoxygenNote: 6.1.1
Suggests:
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2019-01-30 04:42:11 UTC; luzhang
Repository: CRAN
Date/Publication: 2019-02-03 17:00:03 UTC

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Package echor updated to version 0.1.2 with previous version 0.1.1 dated 2018-09-11

Title: Access EPA 'ECHO' Data
Description: An R interface to United States Environmental Protection Agency (EPA) Environmental Compliance History Online ('ECHO') Application Program Interface (API). 'ECHO' provides information about EPA permitted facilities, discharges, and other reporting info associated with permitted entities. Data are obtained from <https://echo.epa.gov/>.
Author: Michael Schramm [aut, cre]
Maintainer: Michael Schramm <michael.schramm@ag.tamu.edu>

Diff between echor versions 0.1.1 dated 2018-09-11 and 0.1.2 dated 2019-02-03

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New package cbsem with initial version 1.0.0
Package: cbsem
Type: Package
Title: Simulation, Estimation and Segmentation of Composite Based Structural Equation Models
Version: 1.0.0
Author: Rainer Schlittgen
Maintainer: Rainer Schlittgen <R.Schlittgen@t-online.de>
Description: The composites are linear combinations of their indicators in composite based structural equation models. Structural models are considered consisting of two blocks. The indicators of the exogenous composites are named by X, the indicators of the endogenous by Y. Reflective relations are given by arrows pointing from the composite to their indicators. Their values are called loadings. In a reflective-reflective scenario all indicators have loadings. Arrows are pointing to their indicators only from the endogenous composites in the formative-reflective scenario. There are no loadings at all in the formative-formative scenario. The covariance matrices are computed for these three scenarios. They can be used to simulate these models. These models can also be estimated and a segmentation procedure is included as well.
Depends: R (>= 2.10)
License: GPL
Encoding: UTF-8
LazyData: true
Suggests: R.rsp
VignetteBuilder: R.rsp
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2019-01-30 10:55:47 UTC; Gigabyte
Repository: CRAN
Date/Publication: 2019-02-03 17:05:33 UTC

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Package SpaDES.core updated to version 0.2.4 with previous version 0.2.3 dated 2018-11-18

Title: Core Utilities for Developing and Running Spatially Explicit Discrete Event Simulation Models
Description: Provide the core discrete event simulation (DES) framework for implementing spatially explicit simulation models. The core DES components facilitate modularity, and easily enable the user to include additional functionality by running user-built simulation modules. Now includes (experimental) conditional scheduling.
Author: Alex M Chubaty [aut, cre] (<https://orcid.org/0000-0001-7146-8135>), Eliot J B McIntire [aut] (<https://orcid.org/0000-0002-6914-8316>), Yong Luo [ctb], Steve Cumming [ctb], Ceres Barros [ctb] (<https://orcid.org/0000-0003-4036-977X>), Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <alex.chubaty@gmail.com>

Diff between SpaDES.core versions 0.2.3 dated 2018-11-18 and 0.2.4 dated 2019-02-03

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Package SpaDES updated to version 2.0.3 with previous version 2.0.2 dated 2018-06-15

Title: Develop and Run Spatially Explicit Discrete Event Simulation Models
Description: Metapackage for implementing a variety of event-based models, with a focus on spatially explicit models. These include raster-based, event-based, and agent-based models. The core simulation components (provided by 'SpaDES.core') are built upon a discrete event simulation (DES; see Matloff (2011) ch 7.8.3 <https://nostarch.com/artofr.htm>) framework that facilitates modularity, and easily enables the user to include additional functionality by running user-built simulation modules (see also 'SpaDES.tools'). Included are numerous tools to visualize rasters and other maps (via 'quickPlot'), and caching methods for reproducible simulations (via 'reproducible'). Additional functionality is provided by the 'SpaDES.addins' and 'SpaDES.shiny' packages.
Author: Alex M Chubaty [aut, cre] (<https://orcid.org/0000-0001-7146-8135>), Eliot J B McIntire [aut] (<https://orcid.org/0000-0002-6914-8316>), Yong Luo [ctb], Steve Cumming [ctb], Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <alex.chubaty@gmail.com>

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New package rblt with initial version 0.2.3.6
Package: rblt
Type: Package
Title: Bio-Logging Toolbox
Version: 0.2.3.6
Authors@R: person(given = "Sebastien", family = "Geiger", role = c("aut", "cre"), email = "sebastien.geiger@iphc.cnrs.fr")
Description: An R-shiny application to plot datalogger time series at a microsecond precision as Acceleration, Temperature, Pressure, Light intensity from CATS, AXY-TREK and WACU bio-loggers. It is possible to link behavioral labels extracted from 'BORIS' software <http://www.boris.unito.it> or manually written in a csv file. CATS bio-logger are manufactured by <http://www.cats.is>, AXY-TREK are manufactured by <http://www.technosmart.eu> and WACU are manufactured by <http://www.iphc.cnrs.fr/-MIBE-.html>.
Maintainer: Sebastien Geiger <sebastien.geiger@iphc.cnrs.fr>
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
SystemRequirements: libhdf5 (>= 1.8.12)
Depends: R (>= 3.2), tools, h5 (>= 0.9), xts, dygraphs, shiny, methods
Imports: data.table
URL: https://github.com/sg4r/rblt
BugReports: https://github.com/sg4r/rblt/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-29 18:12:37 UTC; seb
Author: Sebastien Geiger [aut, cre]
Repository: CRAN
Date/Publication: 2019-02-03 16:40:02 UTC

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New package MMLR with initial version 0.1.0
Package: MMLR
Type: Package
Title: Fitting Markov-Modulated Linear Regression Models
Version: 0.1.0
Authors@R: c( person("Nadezda", "Spiridovska", email = "Spiridovska.N@tsi.lv", role = c("aut", "cre")), person("Diana", "Santalova", role = "ctb"))
Maintainer: Nadezda Spiridovska <Spiridovska.N@tsi.lv>
Description: A set of tools for fitting Markov-modulated linear regression, where responses Y(t) are time-additive, and model operates in the external environment, which is described as a continuous time Markov chain with finite state space. Model is proposed by Alexander Andronov (2012) <arXiv:1901.09600v1> and algorithm of parameters estimation is based on eigenvalues and eigenvectors decomposition. Also, package will provide a set of data simulation tools for Markov-modulated linear regression (for academical/research purposes). Research project No. 1.1.1.2/VIAA/1/16/075.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: matlib
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-29 14:25:08 UTC; Nadezda Spiridovska
Author: Nadezda Spiridovska [aut, cre], Diana Santalova [ctb]
Repository: CRAN
Date/Publication: 2019-02-03 16:33:17 UTC

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Package helminthR updated to version 1.0.7 with previous version 1.0.6 dated 2018-08-15

Title: Access London Natural History Museum Host-Helminth Record Database
Description: Access to large host-parasite data is often hampered by the availability of data and difficulty in obtaining it in a programmatic way to encourage analyses. 'helminthR' provides a programmatic interface to the London Natural History Museum's host-parasite database, one of the largest host-parasite databases existing currently <http://www.nhm.ac.uk/research-curation/scientific-resources/taxonomy-systematics/host-parasites/>. The package allows the user to query by host species, parasite species, and geographic location.
Author: Tad Dallas
Maintainer: Tad Dallas <tad.a.dallas@gmail.com>

Diff between helminthR versions 1.0.6 dated 2018-08-15 and 1.0.7 dated 2019-02-03

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Package graphon updated to version 0.3.1 with previous version 0.3.0 dated 2018-09-16

Title: A Collection of Graphon Estimation Methods
Description: Provides a not-so-comprehensive list of methods for estimating graphon, a symmetric measurable function, from a single or multiple of observed networks. For a detailed introduction on graphon and popular estimation techniques, see the paper by Orbanz, P. and Roy, D.M.(2014) <doi:10.1109/TPAMI.2014.2334607>. It also contains several auxiliary functions for generating sample networks using various network models and graphons.
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kyou@nd.edu>

Diff between graphon versions 0.3.0 dated 2018-09-16 and 0.3.1 dated 2019-02-03

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New package ctsem with initial version 2.8.2
Package: ctsem
Type: Package
Title: Continuous Time Structural Equation Modelling
Version: 2.8.2
Date: 2019-1-31
Authors@R: c(person("Charles", "Driver", role = c("aut","cre","cph"),email="driver@mpib-berlin.mpg.de"), person("Manuel", "Voelkle", role = c("aut","cph")), person("Han", "Oud", role = c("aut","cph") ))
Description: A hierarchical, multivariate, continuous (and discrete) time dynamic modelling package for panel and time series data, using 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 and non-linearity 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. Bayesian formulation not available on 32 bit Windows systems.
License: GPL-3
Depends: R (>= 3.4.0), Rcpp (>= 0.12.16), OpenMx (>= 2.3.0)
URL: https://github.com/cdriveraus/ctsem
Imports: rstan (>= 2.17.1), rstantools (>= 1.5.0), plyr, tools, data.table, Matrix, datasets, stats, graphics, grDevices, parallel, shiny, MASS, methods, utils, corrplot, mvtnorm, DEoptim, KernSmooth
Encoding: UTF-8
LazyData: true
ByteCompile: true
LinkingTo: StanHeaders (>= 2.17.0), rstan (>= 2.17.1), BH (>= 1.66.0-1), Rcpp (>= 0.12.16), RcppEigen (>= 0.3.3.4.0)
SystemRequirements: GNU make
NeedsCompilation: yes
Suggests: knitr, testthat
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Packaged: 2019-02-01 20:48:00 UTC; driver
Author: Charles Driver [aut, cre, cph], Manuel Voelkle [aut, cph], Han Oud [aut, cph]
Maintainer: Charles Driver <driver@mpib-berlin.mpg.de>
Repository: CRAN
Date/Publication: 2019-02-03 16:13:16 UTC

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New package shutterstock with initial version 0.1.0
Package: shutterstock
Version: 0.1.0
Title: Access 'Shutterstock' REST API
Description: Access 'Shutterstock' API from R. The 'Shutterstock' API presents access to search, view, license and download the media and information from the 'Shutterstock's library <https://api-reference.shutterstock.com/>.
Authors@R: person("Metin", "Yazici", email = "stradivariusboul@gmail.com", role = c("aut", "cre"))
License: MIT + file LICENSE
URL: https://github.com/strboul/shutterstock-r
BugReports: https://github.com/strboul/shutterstock-r/issues
Depends: R (>= 3.4.0)
Imports: httr, jsonlite, utils
Suggests: testthat, httptest, knitr, rmarkdown
LazyData: true
Encoding: UTF-8
RoxygenNote: 6.1.1
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-26 16:12:55 UTC; metin
Author: Metin Yazici [aut, cre]
Maintainer: Metin Yazici <stradivariusboul@gmail.com>
Repository: CRAN
Date/Publication: 2019-02-03 15:20:02 UTC

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New package MMeM with initial version 0.1.0
Package: MMeM
Title: Multivariate Mixed Effects Model
Version: 0.1.0
Depends: R (>= 3.3.0)
Authors@R: c(person(given = "Luyao", family = "Peng", role = c("aut", "cre"), email = "luyaopeng.cn@gmail.com"), person(given = "Rui", family = "Yang", role = c("aut"), email = "rkzyang@gmail.com"))
Maintainer: Luyao Peng <luyaopeng.cn@gmail.com>
Description: Analyzing data under multivariate mixed effects model using multivariate REML and multivariate Henderson3 methods. See Meyer (1985) <doi:10.2307/2530651> and Wesolowska Janczarek (1984) <doi:10.1002/bimj.4710260613>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: stats, MASS, Matrix, jointDiag, lme4, matrixcalc, psych, stringr
BugReports: https://github.com/pengluyaoyao/MMeM/issues
NeedsCompilation: no
Packaged: 2019-01-25 18:16:00 UTC; pengluyao
Author: Luyao Peng [aut, cre], Rui Yang [aut]
Repository: CRAN
Date/Publication: 2019-02-03 15:03:15 UTC

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Package jstable updated to version 0.7.7 with previous version 0.7.6 dated 2019-02-01

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Anpanman [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

Diff between jstable versions 0.7.6 dated 2019-02-01 and 0.7.7 dated 2019-02-03

 DESCRIPTION                            |   10 
 MD5                                    |   12 
 NEWS.md                                |    8 
 README.md                              |   12 
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New package isoband with initial version 0.1.0
Package: isoband
Title: Generate Isolines and Isobands from Regularly Spaced Elevation Grids
Version: 0.1.0
Authors@R: person(given = "Claus", family = "Wilke", role = c("aut", "cre"), email = "wilke@austin.utexas.edu")
Description: A fast C++ implementation to generate contour lines (isolines) and contour polygons (isobands) from regularly spaced grids containing elevation data.
URL: https://github.com/clauswilke/isoband
BugReports: https://github.com/clauswilke/isoband/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, testthat
Imports: Rcpp, grid
RoxygenNote: 6.1.0
Suggests: ggplot2, sf, testthat, covr
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2019-01-26 07:02:07 UTC; wilke
Author: Claus Wilke [aut, cre]
Maintainer: Claus Wilke <wilke@austin.utexas.edu>
Repository: CRAN
Date/Publication: 2019-02-03 15:13:14 UTC

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New package hutilscpp with initial version 0.1.0
Package: hutilscpp
Title: Miscellaneous Functions in C++
Version: 0.1.0
Authors@R: person(given = "Hugh", family = "Parsonage", role = c("aut", "cre"), email = "hugh.parsonage@gmail.com")
Description: Provides utility functions that are simply, frequently used, but may require higher performance that what can be obtained from base R. Incidentally provides support for 'reverse geocoding', such as matching a point with its nearest neighbour in another array. Used as a complement to package 'hutils' by sacrificing compilation or installation time for higher running speeds. The name is a portmanteau of the author and 'Rcpp'.
URL: https://github.com/hughparsonage/hutilscpp
BugReports: https://github.com/hughparsonage/hutilscpp/issues
License: GPL-2
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
Imports: Rcpp, data.table, hutils, utils
RoxygenNote: 6.1.1
Suggests: bench, testthat, TeXCheckR, covr
NeedsCompilation: yes
Packaged: 2019-01-28 17:14:07 UTC; hughp
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>
Repository: CRAN
Date/Publication: 2019-02-03 15:43:19 UTC

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New package guardianapi with initial version 0.1.0
Package: guardianapi
Title: Access 'The Guardian' Newspaper Open Data API
Version: 0.1.0
Authors@R: person(given = "Evan", family = "Odell", role = c("aut", "cre"), email = "evanodell91@gmail.com", comment = c(ORCID = "0000-0003-1845-808X"))
Description: Access to the 'Guardian' open API <https://open-platform.theguardian.com/>, containing all articles published in 'The Guardian' from 1999 to the present, including article text, metadata, tags and contributor information. An API key and registration is required.
URL: https://docs.evanodell.com/guardianapi
BugReports: https://github.com/evanodell/guardianapi/issues
License: MIT + file LICENSE
RoxygenNote: 6.1.1
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0)
Imports: dplyr, httr, jsonlite, tibble, rlang
Suggests: testthat, knitr, rmarkdown, lubridate, ggplot2, covr, scales
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-28 12:17:29 UTC; EOdell
Author: Evan Odell [aut, cre] (<https://orcid.org/0000-0003-1845-808X>)
Maintainer: Evan Odell <evanodell91@gmail.com>
Repository: CRAN
Date/Publication: 2019-02-03 15:33:14 UTC

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Package fastrtext updated to version 0.2.6 with previous version 0.2.5 dated 2018-01-04

Title: 'fastText' Wrapper for Text Classification and Word Representation
Description: Learning text representations and text classifiers may rely on the same simple and efficient approach. 'fastText' is an open-source, free, lightweight library that allows users to perform both tasks. It transforms text into continuous vectors that can later be used on many language related task. It works on standard, generic hardware (no 'GPU' required). It also includes model size reduction feature. 'fastText' original source code is available at <https://github.com/facebookresearch/fastText>.
Author: Michaël Benesty [aut, cre, cph], Facebook, Inc [cph]
Maintainer: Michaël Benesty <michael@benesty.fr>

Diff between fastrtext versions 0.2.5 dated 2018-01-04 and 0.2.6 dated 2019-02-03

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 NEWS.md                             |   10 
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 inst/doc/supervised_learning.html   |  428 ++++++++++++++++++++++++--------
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 13 files changed, 1016 insertions(+), 313 deletions(-)

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New package countfitteR with initial version 1.0
Package: countfitteR
Type: Package
Title: Comprehensive Automatized Evaluation of Distribution Models for Count Data
Version: 1.0
Authors@R: c(person("Jaroslaw", "Chilimoniuk", email = "jaroslaw.chilimoniuk@gmail.com", comment = c(ORCID = "0000-0001-5467-018X"), role = c("cre", "ctb")), person("Michal", "Burdukiewicz", email = "michalburdukiewicz@gmail.com", comment = c(ORCID = "0000-0001-8926-582X"), role = c("aut")), person("Stefan", "Roediger", email = "stefan.roedigier@b-tu.de", comment = c(ORCID = "0000-0002-1441-6512"), role = ("ctb")) )
Maintainer: Jaroslaw Chilimoniuk <jaroslaw.chilimoniuk@gmail.com>
Description: A large number of measurements generate count data. This is a statistical data type that only assumes non-negative integer values and is generated by counting. Typically, counting data can be found in biomedical applications, such as the analysis of DNA double-strand breaks. The number of DNA double-strand breaks can be counted in individual cells using various bioanalytical methods. For diagnostic applications, it is relevant to record the distribution of the number data in order to determine their biomedical significance (Roediger, S. et al., 2018. Journal of Laboratory and Precision Medicine. <doi:10.21037/jlpm.2018.04.10>). The software offers functions for a comprehensive automated evaluation of distribution models of count data. In addition to programmatic interaction, a graphical user interface (web server) is included, which enables fast and interactive data-scientific analyses. The user is supported in selecting the most suitable counting distribution for his own data set.
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Suggests: dplyr, utils, testthat, shinythemes, rhandsontable, gridExtra, pscl, DT, rmarkdown, knitr
Date: 2019-01-18
URL: https://github.com/jarochi/countfitteR
BugReports: https://github.com/jarochi/countfitteR/issues
RoxygenNote: 6.1.1
Imports: ggplot2, MASS, shiny, stats, tools
NeedsCompilation: no
Packaged: 2019-01-27 20:52:36 UTC; jarek
Author: Jaroslaw Chilimoniuk [cre, ctb] (<https://orcid.org/0000-0001-5467-018X>), Michal Burdukiewicz [aut] (<https://orcid.org/0000-0001-8926-582X>), Stefan Roediger [ctb] (<https://orcid.org/0000-0002-1441-6512>)
Repository: CRAN
Date/Publication: 2019-02-03 15:33:19 UTC

More information about countfitteR at CRAN
Permanent link

Package GADMTools updated to version 3.5-1 with previous version 3.0-1 dated 2018-11-20

Title: Easy Use of 'GADM' Shapefiles
Description: Manipulate, assemble, export <http://www.gadm.org> shapefiles. Create choropleth, heatmaps, dots plot, proportional dots and more.
Author: Jean Pierre Decorps [aut, cre], Morgane Vallee [ctb]
Maintainer: Jean Pierre Decorps <jp.decorps@epiconcept.fr>

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Package GeneralizedUmatrix updated to version 1.1.5 with previous version 1.1.4 dated 2019-01-27

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>

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Package SoftClustering updated to version 1.1902 with previous version 1.1502 dated 2015-02-10

Title: Soft Clustering Algorithms
Description: It contains soft clustering algorithms, in particular approaches derived from rough set theory: Lingras & West original rough k-means, Peters' refined rough k-means, and PI rough k-means. It also contains classic k-means and a corresponding illustrative demo.
Author: G. Peters (Ed.)
Maintainer: G. Peters <peters.projects@outlook.com>

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Package prototest updated to version 1.2 with previous version 1.1 dated 2016-01-14

Title: Inference on Prototypes from Clusters of Features
Description: Procedures for testing for group-wide signal in clusters of variables. Tests can be performed for single groups in isolation (univariate) or multiple groups together (multivariate). Specific tests include the exact and approximate (un)selective likelihood ratio tests described in Reid et al (2015), the selective F test and marginal screening prototype test of Reid and Tibshirani (2015). User may pre-specify columns to be included in prototype formation, or allow the function to select them itself. A mixture of these two is also possible. Any variable selection is accounted for using the selective inference framework. Options for non-sampling and hit-and-run null reference distributions.
Author: Stephen Reid
Maintainer: Stephen Reid <sreid1652@gmail.com>

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Package plsRcox updated to version 1.7.4 with previous version 1.7.3.1 dated 2018-09-11

Title: Partial Least Squares Regression for Cox Models and Related Techniques
Description: Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings <doi:10.1093/bioinformatics/btu660>, Bastien, P., Bertrand, F., Meyer N., Maumy-Bertrand, M. (2015), Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data, Bioinformatics, 31(3):397-404. Cross validation criteria were studied in <arXiv:1810.02962>, Bertrand, F., Bastien, Ph. and Maumy-Bertrand, M. (2018), Cross validating extensions of kernel, sparse or regular partial least squares regression models to censored data.
Author: Frederic Bertrand [cre, aut] (<https://orcid.org/0000-0002-0837-8281>), Myriam Maumy-Bertrand [aut] (<https://orcid.org/0000-0002-4615-1512>)
Maintainer: Frederic Bertrand <frederic.bertrand@math.unistra.fr>

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Package lhs updated to version 1.0.1 with previous version 1.0 dated 2019-01-31

Title: Latin Hypercube Samples
Description: Provides a number of methods for creating and augmenting Latin Hypercube Samples.
Author: Rob Carnell [aut, cre]
Maintainer: Rob Carnell <bertcarnell@gmail.com>

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Package KFAS updated to version 1.3.4 with previous version 1.3.3 dated 2018-09-19

Title: Kalman Filter and Smoother for Exponential Family State Space Models
Description: State space modelling is an efficient and flexible framework for statistical inference of a broad class of time series and other data. KFAS includes computationally efficient functions for Kalman filtering, smoothing, forecasting, and simulation of multivariate exponential family state space models, with observations from Gaussian, Poisson, binomial, negative binomial, and gamma distributions. See the paper by Helske (2017) <doi:10.18637/jss.v078.i10> for details.
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package eurostat updated to version 3.3.1.3 with previous version 3.3.1.2 dated 2019-01-24

Title: Tools for Eurostat Open Data
Description: Tools to download data from the Eurostat database <http://ec.europa.eu/eurostat> together with search and manipulation utilities.
Author: Leo Lahti [aut, cre], Janne Huovari [aut], Markus Kainu [aut], Przemyslaw Biecek [aut], Joona Lehtomaki [ctb], Francois Briatte [ctb], Oliver Reiter [ctb]
Maintainer: ORPHANED

Diff between eurostat versions 3.3.1.2 dated 2019-01-24 and 3.3.1.3 dated 2019-02-03

 DESCRIPTION                     |    6 +--
 MD5                             |   12 +++----
 inst/doc/blogposts.html         |    4 +-
 inst/doc/cheatsheet.html        |    4 +-
 inst/doc/eurostat_tutorial.html |   67 ++++++++++------------------------------
 inst/doc/publications.html      |    4 +-
 tests/testthat/test-all.R       |    2 -
 7 files changed, 33 insertions(+), 66 deletions(-)

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Package plspolychaos (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:

2017-03-01 1.1-1
2016-05-09 1.1-0

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Package RcppDynProg updated to version 0.1.1 with previous version 0.1.0 dated 2019-01-04

Title: 'Rcpp' Dynamic Programming
Description: Dynamic Programming implemented in 'Rcpp'. Includes example partition and out of sample fitting applications. Also supplies additional custom coders for the 'vtreat' package.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between RcppDynProg versions 0.1.0 dated 2019-01-04 and 0.1.1 dated 2019-02-03

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 RcppDynProg-0.1.1/RcppDynProg/NAMESPACE                            |   12 
 RcppDynProg-0.1.1/RcppDynProg/NEWS.md                              |    9 
 RcppDynProg-0.1.1/RcppDynProg/R/RcppExports.R                      |  290 +++++++++-
 RcppDynProg-0.1.1/RcppDynProg/R/run_package_tests.R                |only
 RcppDynProg-0.1.1/RcppDynProg/R/solve_for_partition.R              |   56 +
 RcppDynProg-0.1.1/RcppDynProg/R/utils.R                            |   24 
 RcppDynProg-0.1.1/RcppDynProg/R/xlin_fits_V.R                      |   42 -
 RcppDynProg-0.1.1/RcppDynProg/README.md                            |   13 
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 RcppDynProg-0.1.1/RcppDynProg/src/RcppExports.cpp                  |  176 ++++++
 RcppDynProg-0.1.1/RcppDynProg/src/const_costs.cpp                  |   59 +-
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 RcppDynProg-0.1.1/RcppDynProg/src/lin_costs.cpp                    |   51 -
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 RcppDynProg-0.1.1/RcppDynProg/src/xlin_fits.cpp                    |   80 +-
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 46 files changed, 969 insertions(+), 196 deletions(-)

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Package gnlm updated to version 1.1.1 with previous version 1.1.0 dated 2016-12-07

Title: Generalized Nonlinear Regression Models
Description: A variety of functions to fit linear and nonlinear regression with a large selection of distributions.
Author: Bruce Swihart [cre, aut], Jim Lindsey [aut] (Jim created this package, Bruce is maintaining the CRAN version)
Maintainer: Bruce Swihart <bruce.swihart@gmail.com>

Diff between gnlm versions 1.1.0 dated 2016-12-07 and 1.1.1 dated 2019-02-03

 DESCRIPTION     |   10 +++++-----
 MD5             |   29 +++++++++++++++--------------
 NAMESPACE       |    2 +-
 NEWS.md         |    7 +++++++
 R/gnlr.r        |    2 +-
 man/bnlr.Rd     |   16 ++++++++--------
 man/fit.dist.Rd |   12 ++++++------
 man/fmr.Rd      |   15 +++++++--------
 man/gnlr.Rd     |    7 +++----
 man/gnlr3.Rd    |   15 +++++++--------
 man/nlr.Rd      |   11 +++++------
 man/nordr.Rd    |   17 ++++++++---------
 man/ordglm.Rd   |    9 ++++-----
 man/rs2.Rd      |    7 +++----
 man/rs3.Rd      |    7 +++----
 src/gnlm_init.c |only
 16 files changed, 83 insertions(+), 83 deletions(-)

More information about gnlm at CRAN
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