Sun, 11 Mar 2018

New package knor with initial version 0.0-5
Package: knor
Version: 0.0-5
Date: 2018-03-08
Title: Non-Uniform Memory Access ('NUMA') Optimized, Parallel K-Means
Authors@R: c(person("Disa", "Mhembere", role = c("aut", "cre"), email = "disa@jhu.edu"), person("Neurodata (https://neurodata.io)", role="cph"))
Description: The k-means 'NUMA' Optimized Routine library or 'knor' is a highly optimized and fast library for computing k-means in parallel with accelerations for Non-Uniform Memory Access ('NUMA') architectures.
LinkingTo: Rcpp
Depends: R (>= 3.0), Rcpp (>= 0.12.8)
License: Apache License 2.0
URL: https://github.com/neurodata/knorR
SystemRequirements: GNU make C++11, pthreads
BugReports: https://github.com/flashxio/knor/issues
RoxygenNote: 6.0.1
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Suggests: testthat
Packaged: 2018-03-08 20:56:24 UTC; disa
Author: Disa Mhembere [aut, cre], Neurodata (https://neurodata.io) [cph]
Maintainer: Disa Mhembere <disa@jhu.edu>
X-CRAN-Comment: Archived on 2018-01-25 as the undeclared requirement of OpenMP was not corrected despite reminders. Unarchived on 2018-01-31, but archived again for the same reason.
Repository: CRAN
Date/Publication: 2018-03-11 22:28:49 UTC

More information about knor at CRAN
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Package Epi updated to version 2.26 with previous version 2.24 dated 2018-01-30

Title: A Package for Statistical Analysis in Epidemiology
Description: Functions for demographic and epidemiological analysis in the Lexis diagram, i.e. register and cohort follow-up data, in particular representation, manipulation and simulation of multistate data - the Lexis suite of functions, which includes interfaces to 'mstate', 'etm' and 'cmprsk' packages. Also contains functions for Age-Period-Cohort and Lee-Carter modeling and a function for interval censored data and some useful functions for tabulation and plotting, as well as a number of epidemiological data sets.
Author: Bendix Carstensen [aut, cre], Martyn Plummer [aut], Esa Laara [ctb], Michael Hills [ctb]
Maintainer: Bendix Carstensen <b@bxc.dk>

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Package DHS.rates updated to version 0.2.0 with previous version 0.1.0 dated 2018-03-05

Title: Calculate Key DHS Indicators
Description: Calculates key indicators such as fertility rates (Total Fertility Rate (TFR), General Fertility Rate (GFR), and Age Specific Fertility Rate (ASFR)) using Demographic and Health Survey (DHS) women/individual data. In addition to the indicators, the 'DHS.rates' package estimates precision indicators such as Standard Error (SE), Design Effect (DEFT), Relative Standard Error (RSE) and Confidence Interval (CI). The package is developed according to the DHS methodology of calculating the fertility indicators outlined in the "DHS Guide to Statistics" (Rutstein and Rojas 2006, <http://dhsprogram.com/pubs/pdf/DHSG1/Guide_to_DHS_Statistics_29Oct2012_DHSG1.pdf>) and the DHS methodology of estimating the precision indicators outlined in the "DHS Sampling and Household Listing Manual" (ICF International 2012, <https://dhsprogram.com/pubs/pdf/DHSM4/DHS6_Sampling_Manual_Sept2012_DHSM4.pdf>).
Author: Mahmoud Elkasabi
Maintainer: Mahmoud Elkasabi <mahmoud.elkasabi@icf.com>

Diff between DHS.rates versions 0.1.0 dated 2018-03-05 and 0.2.0 dated 2018-03-11

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Package dbplot updated to version 0.2.1 with previous version 0.2.0 dated 2018-01-05

Title: Simplifies Plotting Data Inside Databases
Description: Leverages 'dplyr' to process the calculations of a plot inside a database. This package provides helper functions that abstract the work at three levels: outputs a 'ggplot', outputs the calculations, outputs the formula needed to calculate bins.
Author: Edgar Ruiz [aut, cre]
Maintainer: Edgar Ruiz <edgar@rstudio.com>

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Package cmm updated to version 0.12 with previous version 0.8 dated 2015-01-15

Title: Categorical Marginal Models
Description: Quite extensive package for maximum likelihood estimation and weighted least squares estimation of categorical marginal models (CMMs; e.g., Bergsma and Rudas, 2002, <http://www.jstor.org/stable/2700006?; Bergsma, Croon and Hagenaars, 2009, <DOI:10.1007/b12532>.
Author: W. P. Bergsma [aut], L. A. van der Ark [aut, cre]
Maintainer: L. A. van der Ark <L.A.vanderArk@uva.nl>

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Package aniDom updated to version 0.1.3 with previous version 0.1.2 dated 2017-07-25

Title: Inferring Dominance Hierarchies and Estimating Uncertainty
Description: Provides: (1) Tools to infer dominance hierarchies based on calculating Elo scores, but with custom functions to improve estimates in animals with relatively stable dominance ranks. (2) Tools to plot the shape of the dominance hierarchy and estimate the uncertainty of a given data set.
Author: Damien R. Farine and Alfredo Sanchez-Tojar
Maintainer: Damien R. Farine <dfarine@orn.mpg.de>

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Package windfarmGA updated to version 1.2 with previous version 1.1.1 dated 2017-07-27

Title: Genetic Algorithm for Wind Farm Layout Optimization
Description: The genetic algorithm is designed to optimize small wind farms with irregular shapes. The algorithm works with a fixed amount of turbines, a fixed rotor radius and a mean wind speed value for every incoming wind direction. If required, it can include a terrain effect model which downloads an 'SRTM' elevation model automatically and loads a Corine Land Cover raster, which has to be downloaded previously. Further information can be found in the description of the function 'windfarmGA'. To start an optimization run, either the function 'windfarmGA' or 'genAlgo' can be used. The function 'windfarmGA' checks the user inputs interactively and then runs the function 'genAlgo'. If the input parameters are already known, an optimization can be run directly via the function 'genAlgo'. Their output is identical.
Author: Sebastian Gatscha
Maintainer: Sebastian Gatscha <sebastian_gatscha@gmx.at>

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Package Rraven updated to version 1.0.2 with previous version 1.0.1 dated 2018-02-11

Title: Connecting R and 'Raven' Sound Analysis Software
Description: A tool to exchange data between R and 'Raven' sound analysis software <http://www.birds.cornell.edu/brp/raven/RavenOverview.html> (Cornell Lab of Ornithology). Functions work on data formats compatible with the R package 'warbleR'.
Author: Marcelo Araya-Salas
Maintainer: Marcelo Araya-Salas <araya-salas@cornell.edu>

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Package fitur updated to version 0.5.25 with previous version 0.5.20 dated 2017-12-19

Title: Fit Univariate Distributions
Description: Wrapper for computing parameters for univariate distributions using MLE. It creates an object that stores d, p, q, r functions as well as parameters and statistics for diagnostics. Currently supports automated fitting from base and actuar packages. A manually fitting distribution fitting function is included to support directly specifying parameters for any distribution from ancillary packages.
Author: Thomas Roh [aut, cre]
Maintainer: Thomas Roh <thomas@roh.engineering>

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New package MPsychoR with initial version 0.10-6
Package: MPsychoR
Type: Package
Title: Modern Psychometrics with R
Version: 0.10-6
Date: 2018-03-08
Authors@R: c(person("Patrick", "Mair", role = c("aut", "cre"), email = "mair@fas.harvard.edu"))
Maintainer: Patrick Mair <mair@fas.harvard.edu>
Description: Supplementary materials and datasets for the book "Modern Psychometrics With R" (Mair, 2018, Springer useR! series).
Imports: graphics, stats
Depends: R (>= 3.0.2)
License: GPL-2
Author: Patrick Mair [aut, cre]
Repository: CRAN
Repository/R-Forge/Project: psychor
Repository/R-Forge/Revision: 296
Repository/R-Forge/DateTimeStamp: 2018-03-08 19:03:49
Date/Publication: 2018-03-11 08:16:00 UTC
NeedsCompilation: no
Packaged: 2018-03-08 19:26:41 UTC; rforge

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Package LMest updated to version 2.4.2 with previous version 2.4.1 dated 2017-10-16

Title: Latent Markov Models with and without Covariates
Description: Fit certain versions of the Latent Markov model for longitudinal categorical data.
Author: Francesco Bartolucci, Silvia Pandolfi - University of Perugia (IT)
Maintainer: Francesco Bartolucci <bart@stat.unipg.it>

Diff between LMest versions 2.4.1 dated 2017-10-16 and 2.4.2 dated 2018-03-11

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Package eRm updated to version 0.16-0 with previous version 0.15-7 dated 2016-11-20

Title: Extended Rasch Modeling
Description: Fits Rasch models (RM), linear logistic test models (LLTM), rating scale model (RSM), linear rating scale models (LRSM), partial credit models (PCM), and linear partial credit models (LPCM). Missing values are allowed in the data matrix. Additional features are the ML estimation of the person parameters, Andersen's LR-test, item-specific Wald test, Martin-Loef-Test, nonparametric Monte-Carlo Tests, itemfit and personfit statistics including infit and outfit measures, various ICC and related plots, automated stepwise item elimination, simulation module for various binary data matrices.
Author: Patrick Mair [cre, aut], Reinhold Hatzinger [aut], Marco J. Maier [aut], Thomas Rusch [ctb]
Maintainer: Patrick Mair <mair@fas.harvard.edu>

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Package mirtCAT updated to version 1.7 with previous version 1.6.1 dated 2017-07-26

Title: Computerized Adaptive Testing with Multidimensional Item Response Theory
Description: Provides tools to generate an HTML interface for creating adaptive and non-adaptive educational and psychological tests using the shiny package (Chalmers (2016) <doi:10.18637/jss.v071.i05>). Suitable for applying unidimensional and multidimensional computerized adaptive tests (CAT) using item response theory methodology and for creating simple questionnaires forms to collect response data directly in R. Additionally, optimal test designs (e.g., "shadow testing") are supported for tests which contain a large number of item selection constraints. Finally, package contains tools useful for performing Monte Carlo simulations for studying the behavior of computerized adaptive test banks.
Author: Phil Chalmers [aut, cre]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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 R/mirtCAT_preamble.R        |    6 +++-
 R/server.R                  |   57 ++++++++++++++++++++++++++++++++++++++------
 R/util.R                    |   41 ++++++++++++++++++++++++-------
 build/partial.rdb           |binary
 build/vignette.rds          |binary
 man/mirtCAT.Rd              |   24 +++++++++++++++---
 tests/GUI-tests/GUI-tests.R |   14 +++++++++-
 13 files changed, 193 insertions(+), 54 deletions(-)

More information about mirtCAT at CRAN
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Package daymetr (with last version 1.3) was removed from CRAN

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

2018-03-09 1.3

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Package gfer updated to version 0.1.10 with previous version 0.1.9 dated 2017-10-31

Title: Green Finance and Environmental Risk
Description: Focuses on data collecting, analyzing and visualization in green finance and environmental risk research and analysis. Main function includes environmental data collecting from official websites such as MEP (Ministry of Environmental Protection of China, <http://www.mep.gov.cn>), water related projects identification and environmental data visualization.
Author: Yuanchao Xu [aut, cre]
Maintainer: Yuanchao Xu <xuyuanchao37@gmail.com>

Diff between gfer versions 0.1.9 dated 2017-10-31 and 0.1.10 dated 2018-03-11

 gfer-0.1.10/gfer/DESCRIPTION        |    8 ++++----
 gfer-0.1.10/gfer/MD5                |   14 +++++++-------
 gfer-0.1.10/gfer/NEWS               |    8 ++++++++
 gfer-0.1.10/gfer/R/getENNames.R     |    2 +-
 gfer-0.1.10/gfer/R/getMktCap.R      |    2 +-
 gfer-0.1.10/gfer/R/getTickers.R     |    2 +-
 gfer-0.1.10/gfer/build/vignette.rds |binary
 gfer-0.1.10/gfer/inst/doc/gfer.html |only
 gfer-0.1.9/gfer/inst/doc/gfer.pdf   |only
 9 files changed, 22 insertions(+), 14 deletions(-)

More information about gfer at CRAN
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