Fri, 31 May 2019

New package ggResidpanel with initial version 0.3.0
Package: ggResidpanel
Type: Package
Title: Panels and Interactive Versions of Diagnostic Plots using 'ggplot2'
Version: 0.3.0
Authors@R: c(person("Katherine", "Goode", email = "kgoode@iastate.edu", role = c("aut", "cre")), person("Kathleen", "Rey", email = "kprey@iastate.edu", role = c("aut")))
Description: An R package for creating panels of diagnostic plots for residuals from a model using ggplot2 and plotly to analyze residuals and model assumptions from a variety of viewpoints. It also allows for the creation of interactive diagnostic plots.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://goodekat.github.io/ggResidpanel/
Imports: cowplot, ggplot2, grDevices, grid, MASS, plotly, qqplotr, stats, stringr
RoxygenNote: 6.1.1
Suggests: dplyr, forcats, knitr, lme4, lmerTest, nlme, randomForest, rmarkdown, rpart, testthat, vdiffr, wesanderson
VignetteBuilder: knitr
Depends: R (>= 3.0.0)
NeedsCompilation: no
Packaged: 2019-05-31 22:03:46 UTC; kgoode
Author: Katherine Goode [aut, cre], Kathleen Rey [aut]
Maintainer: Katherine Goode <kgoode@iastate.edu>
Repository: CRAN
Date/Publication: 2019-05-31 23:20:04 UTC

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Package tsdf updated to version 1.1-7 with previous version 1.1-4 dated 2018-01-11

Title: Two-/Three-Stage Designs for Phase 1&2 Clinical Trials
Description: Calculate optimal Zhong's two-/three-stage Phase II designs (see Zhong (2012) <doi:10.1016/j.cct.2012.07.006>). Generate Target Toxicity decision table for Phase I dose-finding (two-/three-stage). This package also allows users to run dose-finding simulations based on customized decision table.
Author: Wenchuan Guo, Jianan Hui, Bob Zhong
Maintainer: Wenchuan Guo <wguo1017@gmail.com>

Diff between tsdf versions 1.1-4 dated 2018-01-11 and 1.1-7 dated 2019-05-31

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Package projpred updated to version 1.1.2 with previous version 1.1.1 dated 2019-03-12

Title: Projection Predictive Feature Selection
Description: Performs projection predictive feature selection for generalized linear models (see, Piironen, Paasiniemi and Vehtari, 2018, <arXiv:1810.02406>). The package is compatible with the 'rstanarm' and 'brms' packages, but other reference models can also be used. See the package vignette for more information and examples.
Author: Juho Piironen [cre, aut], Markus Paasiniemi [aut], Aki Vehtari [aut], Jonah Gabry [ctb], Paul-Christian Bürkner [ctb]
Maintainer: Juho Piironen <juho@cai.fi>

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Package mssm updated to version 0.1.1 with previous version 0.1.0 dated 2019-05-24

Title: Multivariate State Space Models
Description: Provides methods to perform parameter estimation and make analysis of multivariate observed outcomes through time which depends on a latent state variable. All methods scale well in the dimension of the observed outcomes at each time point. The package contains an implementation of a Laplace approximation, particle filters like suggested by Lin, Zhang, Cheng, & Chen (2005) <doi:10.1198/016214505000000349>, and the gradient and observed information matrix approximation suggested by Poyiadjis, Doucet, & Singh (2011) <doi:10.1093/biomet/asq062>.
Author: Benjamin Christoffersen [cre, aut], Anthony Williams [cph]
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>

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Package binsmooth updated to version 0.2.0 with previous version 0.1.0 dated 2016-08-12

Title: Generate PDFs and CDFs from Binned Data
Description: Provides several methods for generating density functions based on binned data. Methods include step function, recursive subdivision, and optimized spline. Data are assumed to be nonnegative, but the bin widths need not be equal, and the top bin need not have an upper bound. All PDF smoothing methods maintain the areas specified by the binned data. (Equivalently, all CDF smoothing methods interpolate the points specified by the binned data.) An estimate for the mean of the distribution may be supplied as an optional argument, which greatly improves the reliability of statistics computed from the smoothed density functions. Includes methods for estimating the Gini coefficient, the Theil index, percentiles, and random deviates from a smoothed distribution. Among the three methods, the optimized spline (splinebins) is recommended for most purposes. The percentile and random-draw functions only support splinebins.
Author: David J. Hunter and McKalie Drown
Maintainer: Dave Hunter <dhunter@westmont.edu>

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Package semiArtificial updated to version 2.3.1 with previous version 2.2.5 dated 2017-03-31

Title: Generator of Semi-Artificial Data
Description: Contains methods to generate and evaluate semi-artificial data sets. Based on a given data set different methods learn data properties using machine learning algorithms and generate new data with the same properties. The package currently includes the following data generators: i) a RBF network based generator using rbfDDA() from package 'RSNNS', ii) a Random Forest based generator for both classification and regression problems iii) a density forest based generator for unsupervised data Data evaluation support tools include: a) single attribute based statistical evaluation: mean, median, standard deviation, skewness, kurtosis, medcouple, L/RMC, KS test, Hellinger distance b) evaluation based on clustering using Adjusted Rand Index (ARI) and FM c) evaluation based on classification performance with various learning models, e.g., random forests.
Author: Marko Robnik-Sikonja
Maintainer: Marko Robnik-Sikonja <marko.robnik@fri.uni-lj.si>

Diff between semiArtificial versions 2.2.5 dated 2017-03-31 and 2.3.1 dated 2019-05-31

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Package openssl updated to version 1.4 with previous version 1.3 dated 2019-03-22

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH key parsers. Supports RSA, DSA and EC curves P-256, P-384, P-521, and curve25519. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package kinship2 updated to version 1.8.4 with previous version 1.6.4 dated 2015-08-03

Title: Pedigree Functions
Description: Routines to handle family data with a pedigree object (2014, <doi: 10.1159/000363105>). The initial purpose was to create correlation structures that describe family relationships such as kinship and identity-by-descent, which can be used to model family data in mixed effects models, such as in the coxme function. Also includes a tool for pedigree drawing which is focused on producing compact layouts without intervention. Recent additions include utilities to trim the pedigree object with various criteria, and kinship for the X chromosome.
Author: Jason Sinnwell [aut, cre], Terry Therneau [aut], Daniel Schaid [ctb], Elizabeth Atkinson [ctb], Carly Mester [ctb]
Maintainer: Jason Sinnwell <sinnwell.jason@mayo.edu>

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Package fishtree updated to version 0.3.1 with previous version 0.3.0 dated 2019-04-03

Title: Interface to the Fish Tree of Life API
Description: An interface to the Fish Tree of Life API to download taxonomies, phylogenies, fossil calibrations, and diversification rate information for ray-finned fishes.
Author: Jonathan Chang [aut, cre] (<https://orcid.org/0000-0002-3811-1254>), Michael E Alfaro [ctb], Daniel L Rabosky [ctb], Stephen A Smith [ctb]
Maintainer: Jonathan Chang <jonathan.chang@ucla.edu>

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Package insurancerating updated to version 0.4.2 with previous version 0.4.1 dated 2019-04-10

Title: Analytic Insurance Rating Techniques
Description: Methods for insurance rating. It provides a data driven strategy for the construction of insurance tariff classes. This strategy is based on the work by Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>. The package also adds functionality showing additional lines for the reference categories in the levels of the coefficients in the output of a generalized linear regression analysis. In addition it implements a procedure determining the level of a factor with the largest exposure, and thereafter changing the base level of the factor to this level.
Author: Martin Haringa
Maintainer: Martin Haringa <mtharinga@gmail.com>

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Package fssemR updated to version 0.1.4 with previous version 0.1.3 dated 2019-03-15

Title: Fused Sparse Structural Equation Models to Jointly Infer Gene Regulatory Network
Description: An optimizer of Fused-Sparse Structural Equation Models, which is the state of the art jointly fused sparse maximum likelihood function for structural equation models proposed by Xin Zhou and Xiaodong Cai (2018 <doi:10.1101/466623>).
Author: Xin Zhou, Xiaodong Cai
Maintainer: Xin Zhou <xxz220@miami.edu>

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Package fgeo.plot updated to version 1.1.8 with previous version 1.1.6 dated 2019-05-20

Title: Plot ForestGEO Data
Description: To help you access, transform, analyze, and visualize ForestGEO data, we developed a collection of R packages (<https://forestgeo.github.io/fgeo/>). This package, in particular, helps you to plot ForestGEO data. To learn more about ForestGEO visit <http://www.forestgeo.si.edu/>.
Author: Mauro Lepore [aut, ctr, cre] (<https://orcid.org/0000-0002-1986-7988>), CTFS-ForestGEO [cph, fnd]
Maintainer: Mauro Lepore <leporem@si.edu>

Diff between fgeo.plot versions 1.1.6 dated 2019-05-20 and 1.1.8 dated 2019-05-31

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Package simglm updated to version 0.7.4 with previous version 0.7.2 dated 2019-01-23

Title: Simulate Models Based on the Generalized Linear Model
Description: Simulates regression models, including both simple regression and generalized linear mixed models with up to three level of nesting. Power simulations that are flexible allowing the specification of missing data, unbalanced designs, and different random error distributions are built into the package.
Author: Brandon LeBeau [aut, cre]
Maintainer: Brandon LeBeau <lebebr01+simglm@gmail.com>

Diff between simglm versions 0.7.2 dated 2019-01-23 and 0.7.4 dated 2019-05-31

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Package OpenStreetMap updated to version 0.3.4 with previous version 0.3.3 dated 2016-09-09

Title: Access to Open Street Map Raster Images
Description: Accesses high resolution raster maps using the OpenStreetMap protocol. Dozens of road, satellite, and topographic map servers are directly supported, including Apple, Mapnik, Bing, and stamen. Additionally raster maps may be constructed using custom tile servers. Maps can be plotted using either base graphics, or ggplot2. This package is not affiliated with the OpenStreetMap.org mapping project.
Author: Ian Fellows, using the JMapViewer library by Jan Peter Stotz
Maintainer: Ian Fellows <ian@fellstat.com>

Diff between OpenStreetMap versions 0.3.3 dated 2016-09-09 and 0.3.4 dated 2019-05-31

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Package nandb updated to version 2.0.1 with previous version 2.0.0 dated 2018-11-11

Title: Number and Brightness Image Analysis
Description: Calculation of molecular number and brightness from fluorescence microscopy image series. The software was published in a 2016 paper <doi:10.1093/bioinformatics/btx434>. The seminal paper for the technique is Digman et al. 2008 <doi:10.1529/biophysj.107.114645>. A review of the technique was published in 2017 <doi:10.1016/j.ymeth.2017.12.001>.
Author: Rory Nolan [aut, cre, cph] (<https://orcid.org/0000-0002-5239-4043>), Luis Alvarez [ctb, cph] (<https://orcid.org/0000-0003-1316-1906>), Sergi Padilla-Parra [ctb, ths, cph] (<https://orcid.org/0000-0002-8010-9481>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

Diff between nandb versions 2.0.0 dated 2018-11-11 and 2.0.1 dated 2019-05-31

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Package kequate updated to version 1.6.2 with previous version 1.6.1 dated 2017-03-12

Title: The Kernel Method of Test Equating
Description: Implements the kernel method of test equating as defined in von Davier, A. A., Holland, P. W. and Thayer, D. T. (2004) <doi: 10.1007/b97446> and Andersson, B. and Wiberg, M. (2017) <doi: 10.1007/s11336-016-9528-7> using the CB, EG, SG, NEAT CE/PSE and NEC designs, supporting Gaussian, logistic and uniform kernels and unsmoothed and pre-smoothed input data.
Author: Björn Andersson [aut, cre], Kenny Bränberg [aut], Marie Wiberg [aut]
Maintainer: Björn Andersson <bjoern.h.andersson@gmail.com>

Diff between kequate versions 1.6.1 dated 2017-03-12 and 1.6.2 dated 2019-05-31

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Package dfConn updated to version 0.2.0 with previous version 0.1.1 dated 2019-03-25

Title: Dynamic Functional Connectivity Analysis
Description: An implementation of multivariate linear process bootstrap (MLPB) method and sliding window technique to assess the dynamic functional connectivity (dFC) estimate by providing its confidence bands, based on Maria Kudela (2017) <doi: 10.1016/j.neuroimage.2017.01.056>. It also integrates features to visualize non-zero coverage for selected a-priori regions of interest estimated by the dynamic functional connectivity model (dFCM) and dynamic functional connectivity (dFC) curves for reward-related a-priori regions of interest where the activation-based analysis reported.
Author: Zikai Lin [aut, cre], Maria Kudela [aut], Jaroslaw Harezlak [aut], Mario Dzemidzic [aut]
Maintainer: Zikai Lin <ziklin@iu.edu>

Diff between dfConn versions 0.1.1 dated 2019-03-25 and 0.2.0 dated 2019-05-31

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Package dendroTools updated to version 1.0.5 with previous version 1.0.4 dated 2019-04-21

Title: Linear and Nonlinear Methods for Analyzing Daily and Monthly Dendroclimatological Data
Description: Provides novel dendroclimatological methods, primarily used by the Tree-ring research community. There are four core functions. The first one is daily_response(), which finds the optimal sequence of days that are related to one or more tree-ring proxy records. Similar function is daily_response_seasorr(), which implements partial correlations in the analysis of daily response functions. For the enthusiast of monthly data, there is monthly_response() function. The last core function is compare_methods(), which effectively compares several linear and nonlinear regression algorithms on the task of climate reconstruction.
Author: Jernej Jevsenak [aut, cre]
Maintainer: Jernej Jevsenak <jernej.jevsenak@gmail.com>

Diff between dendroTools versions 1.0.4 dated 2019-04-21 and 1.0.5 dated 2019-05-31

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New package table.express with initial version 0.1.0
Package: table.express
Type: Package
Title: Building 'data.table' Expressions with Data Manipulation Verbs
Description: A specialization of 'dplyr' data manipulation verbs that parse and build expressions which are ultimately evaluated by 'data.table', letting it handle all optimizations. A set of additional verbs are also provided to facilitate some common operations on a subset of the data.
Version: 0.1.0
Depends: R (>= 3.1.0)
Imports: utils, data.table (>= 1.9.8), dplyr, magrittr, R6, rlang (>= 0.3.0), tidyselect
Suggests: knitr, rex, rmarkdown, testthat
Date: 2019-05-29
Authors@R: c( person("Alexis", "Sarda-Espinosa", role=c("cre", "aut"), email="alexis.sarda@gmail.com") )
BugReports: https://github.com/asardaes/table.express/issues
License: MPL-2.0
URL: https://asardaes.github.io/table.express, https://github.com/asardaes/table.express
Language: en-US
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-29 16:43:49 UTC; oso_a
Author: Alexis Sarda-Espinosa [cre, aut]
Maintainer: Alexis Sarda-Espinosa <alexis.sarda@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-31 16:20:03 UTC

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New package studentlife with initial version 1.0.0
URL: https://github.com/Frycast/studentlife
BugReports: https://github.com/Frycast/studentlife/issues
Package: studentlife
Type: Package
Title: Tidy Handling and Navigation of the Student-Life Dataset
Version: 1.0.0
Authors@R: c(person("Daniel", "Fryer", role = c("aut", "cre"), email = "d.fryer@latrobe.edu.au", comment = c(ORCID = "0000-0001-6032-0522")))
Description: Download, navigate and analyse the Student-Life dataset. The Student-Life dataset contains passive and automatic sensing data from the phones of a class of 48 Dartmouth college students. It was collected over a 10 week term. Additionally, the dataset contains ecological momentary assessment results along with pre-study and post-study mental health surveys. The intended use is to assess mental health, academic performance and behavioral trends. The raw dataset and additional information is available at <https://studentlife.cs.dartmouth.edu/>.
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: purrr (>= 0.3.2), readr (>= 1.3.1), tidyr (>= 0.8.3), dplyr (>= 0.8.0.1), jsonlite (>= 1.6), tibble (>= 2.0.1), R.utils (>= 2.8.0), skimr (>= 1.0.5), visdat (>= 0.5.3), ggplot2 (>= 3.1.1), crayon (>= 1.3.4)
RoxygenNote: 6.1.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2019-05-29 05:51:22 UTC; Doony
Author: Daniel Fryer [aut, cre] (<https://orcid.org/0000-0001-6032-0522>)
Maintainer: Daniel Fryer <d.fryer@latrobe.edu.au>
Repository: CRAN
Date/Publication: 2019-05-31 16:20:10 UTC

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Package nlmixr updated to version 1.1.0-9 with previous version 1.1.0-8 dated 2019-05-31

Title: Nonlinear Mixed Effects Models in Population Pharmacokinetics and Pharmacodynamics
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'RxODE' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut] (<https://orcid.org/0000-0001-8538-6691>), Yuan Xiong [aut], Rik Schoemaker [aut] (<https://orcid.org/0000-0002-7538-3005>), Justin Wilkins [aut] (<https://orcid.org/0000-0002-7099-9396>), Mirjam Trame [aut], Richard Hooijmaijers [aut], Teun Post [aut], Robert Leary [ctb], Wenping Wang [aut, cre], Hadley Wickham [ctb], Dirk Eddelbuettel [cph], Johannes Pfeifer [ctb], Robert B. Schnabel [ctb], Elizabeth Eskow [ctb], Emmanuelle Comets [ctb], Audrey Lavenu [ctb], Marc Lavielle [ctb], David Ardia [cph], Bill Denney [ctb] (<https://orcid.org/0000-0002-5759-428X>), Katharine Mullen [cph]
Maintainer: Wenping Wang <wwang8198@gmail.com>

Diff between nlmixr versions 1.1.0-8 dated 2019-05-31 and 1.1.0-9 dated 2019-05-31

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New package MultiwayRegression with initial version 1.2
Package: MultiwayRegression
Type: Package
Title: Perform Tensor-on-Tensor Regression
Version: 1.2
Date: 2019-05-28
Author: Eric F. Lock
Maintainer: Eric F. Lock <elock@umn.edu>
Description: Functions to predict one multi-way array (i.e., a tensor) from another multi-way array, using a low-rank CANDECOMP/PARAFAC (CP) factorization and a ridge (L_2) penalty [Lock, EF (2018) <doi:10.1080/10618600.2017.1401544>]. Also includes functions to sample from the Bayesian posterior of a tensor-on-tensor model.
License: GPL-3
Imports: MASS
Depends: R(>= 2.10.0)
NeedsCompilation: no
Packaged: 2019-05-29 01:42:10 UTC; bowenli
Repository: CRAN
Date/Publication: 2019-05-31 16:10:03 UTC

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New package eoffice with initial version 0.1.5
Package: eoffice
Type: Package
Title: Export or Import Graph and Tables to 'Microsoft' Office
Version: 0.1.5
Author: Kai Guo
Maintainer: Kai Guo <guokai8@gmail.com>
Description: Provides wrap functions to export and import graphics and data frames in R to 'microsoft' office. And This package also provide write out figures with lots of different formats. Since people may work on the platform without GUI support, the package also provide function to easily write out figures to lots of different type of formats.
License: GPL-2
Imports: officer, rvg, flextable, broom, dplyr, magrittr, htmlwidgets, plotly, ggplotify, R.devices, devEMF
Depends:
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-29 18:33:25 UTC; bioguo
Repository: CRAN
Date/Publication: 2019-05-31 16:30:03 UTC

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New package datos with initial version 0.1.0
Package: datos
Title: Traduce al Español Varios Conjuntos de Datos de Práctica
Version: 0.1.0
Authors@R: c(person(given = "Edgar", family = "Ruiz", role = c("aut", "cre"), email = "edgararuiz@gmail.com"), person(given = "Riva", family = "Quiroga", role = "aut", email = "riva.quiroga@uc.cl"), person(given = "Mauricio", family = "Vargas", role = "aut", email = "mvargas@dcc.uchile.cl"), person(given = "Mauro", family = "Lepore", role = "aut", email = "maurolepore@gmail.com"), person(given = "Rayna", family = "Harris", role = "ctb", email = "rayna.harris@gmail.com"), person(given = "Daniela", family = "Vasquez", role = "ctb", email = "daniela.vazquez@gmail.com") )
Description: Provee una versión traducida de los siguientes conjuntos de datos: 'airlines', 'airports', 'babynames', 'Batting', 'diamonds', 'faithful', 'flights', 'gapminder', 'gss_cat', 'iris', 'mpg', 'mtcars', 'atmos', 'planes', 'presidential', 'table1', 'table2', 'table3', 'table4a', 'table4b', 'table5', 'vehicles','weather', 'who'. English: It provides a Spanish translated version of the datasets listed above.
License: CC0
Depends: R (>= 3.5.0)
Imports: yaml, tibble
Suggests: babynames, fueleconomy, nycflights13, nasaweather, Lahman, ggplot2, gapminder, forcats, tidyr, testthat (>= 2.1.0), covr
ByteCompile: true
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://github.com/cienciadedatos/datos
BugReports: https://github.com/cienciadedatos/datos/issues
Language: es
NeedsCompilation: no
Packaged: 2019-05-29 19:16:00 UTC; edgar
Author: Edgar Ruiz [aut, cre], Riva Quiroga [aut], Mauricio Vargas [aut], Mauro Lepore [aut], Rayna Harris [ctb], Daniela Vasquez [ctb]
Maintainer: Edgar Ruiz <edgararuiz@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-31 16:40:04 UTC

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New package rstanemax with initial version 0.1.0
Package: rstanemax
Version: 0.1.0
Title: Emax Model Analysis with 'Stan'
Description: Perform sigmoidal Emax model fit using 'Stan' in a formula notation, without writing 'Stan' model code.
Authors@R: c( person("Kenta", "Yoshida", , "6.kurabupasu@gmail.com", c("aut", "cre"), comment = c(ORCID = "0000-0003-4967-3831")), person("Trustees of Columbia University", role = "cph", comment="src/init.cpp, tools/make_cc.R, R/stanmodels.R"))
Encoding: UTF-8
License: GPL-3 | file LICENSE
LazyData: true
ByteCompile: true
Depends: R (>= 3.4.0), methods,Rcpp (>= 1.0.0)
Imports: rstan (>= 2.18.2), rstantools (>= 1.5.1), magrittr (>= 1.5), dplyr (>= 0.8.0), tidyr (>= 0.8.0), ggplot2 (>= 2.2.1)
LinkingTo: StanHeaders (>= 2.18.1), rstan (>= 2.18.2), BH (>= 1.69.0-1), Rcpp (>= 1.0.0), RcppEigen (>= 0.3.3.5.0)
SystemRequirements: GNU make
NeedsCompilation: yes
RoxygenNote: 6.1.1
Suggests: testthat, knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/yoshidk6/rstanemax
BugReports: https://github.com/yoshidk6/rstanemax/issues
Packaged: 2019-05-29 06:30:42 UTC; yoshidk6
Author: Kenta Yoshida [aut, cre] (<https://orcid.org/0000-0003-4967-3831>), Trustees of Columbia University [cph] (src/init.cpp, tools/make_cc.R, R/stanmodels.R)
Maintainer: Kenta Yoshida <6.kurabupasu@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-31 15:50:03 UTC

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Package RNGforGPD updated to version 1.0.1 with previous version 1.0 dated 2018-04-10

Title: Random Number Generation for Generalized Poisson Distribution
Description: Generation of univariate and multivariate data that follow the generalized Poisson distribution. The details of the univariate part are explained in Demirtas (2017), and the multivariate part is an extension of the correlated Poisson data generation routine that was introduced in Yahav and Shmueli (2012).
Author: Hesen Li, Ruizhe Chen, Hai Nguyen, Yu-che Chung, Ran Gao, Hakan Demirtas
Maintainer: Ruizhe Chen <rchen18@uic.edu>

Diff between RNGforGPD versions 1.0 dated 2018-04-10 and 1.0.1 dated 2019-05-31

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New package qMRI with initial version 1.0
Package: qMRI
Type: Package
Title: Methods for Quantitative Magnetic Resonance Imaging (qMRI)
Version: 1.0
Date: 2019-05-08
Authors@R: c(person("Joerg", "Polzehl", role = c("aut"), email = "joerg.polzehl@wias-berlin.de"), person("Karsten", "Tabelow", role = c("aut", "cre"), email = "karsten.tabelow@wias-berlin.de"), person("WIAS Berlin", role = c("cph", "fnd")))
Maintainer: Karsten Tabelow <karsten.tabelow@wias-berlin.de>
Depends: R (>= 3.5), awsMethods (>= 1.0)
Imports: oro.nifti (>= 0.9), stringr, dti (>= 1.4), aws (>= 2.2), adimpro (>= 0.9)
LazyData: TRUE
Description: Implementation of methods for estimation of quantitative maps from Multi-Parameter Mapping (MPM) acquisitions (Weiskopf et al. (2013) <doi:10.3389/fnins.2013.00095>) including adaptive smoothing methods in the framework of the ESTATICS model (Estimating the apparent transverse relaxation time (R2*) from images with different contrasts, Weiskopf et al. (2014) <doi:10.3389/fnins.2014.00278>). The smoothing method is described in Mohammadi et al. (2017). <doi:10.20347/WIAS.PREPRINT.2432>.
License: GPL (>= 2)
Copyright: This package is Copyright (C) 2015-2019 Weierstrass Institute for Applied Analysis and Stochastics.
URL: http://www.wias-berlin.de/research/ats/imaging/
NeedsCompilation: yes
Packaged: 2019-05-31 13:29:17 UTC; polzehl
Author: Joerg Polzehl [aut], Karsten Tabelow [aut, cre], WIAS Berlin [cph, fnd]
Repository: CRAN
Date/Publication: 2019-05-31 15:50:09 UTC

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Package mppR updated to version 1.2.0 with previous version 1.1.10 dated 2018-07-01

Title: Multi-Parent Population QTL Analysis
Description: Analysis of experimental multi-parent populations to detect regions of the genome (called quantitative trait loci, QTLs) influencing phenotypic traits. The population must be composed of crosses between a set of at least three parents (e.g. factorial design, 'diallel', or nested association mapping). The functions cover data processing, QTL detection, and results visualization. The implemented methodology is described by Garin, Wimmer, Mezmouk, Malosetti and van Eeuwijk (2017) <doi:10.1007/s00122-017-2923-3>.
Author: Vincent Garin [aut, cre], Valentin Wimmer [aut], Dietrich Borchardt [ctb, dtc], Fred van Eeuwijk [ctb, ths], Marcos Malosetti [ctb, ths]
Maintainer: Vincent Garin <vincent.garin6@gmail.com>

Diff between mppR versions 1.1.10 dated 2018-07-01 and 1.2.0 dated 2019-05-31

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Package ergm.ego updated to version 0.5 with previous version 0.4.0 dated 2018-08-17

Title: Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data
Description: Utilities for managing egocentrically sampled network data and a wrapper around the 'ergm' package to facilitate ERGM inference and simulation from such data.
Author: Pavel N. Krivitsky [aut, cre] (<https://orcid.org/0000-0002-9101-3362>), Steven M. Goodreau [ctb], Martina Morris [ctb], Kirk Li [ctb], Emily N. Beylerian [ctb], Michał Bojanowski [ctb] (<https://orcid.org/0000-0001-7503-852X>), Chad Klumb [ctb]
Maintainer: Pavel N. Krivitsky <pavel@uow.edu.au>

Diff between ergm.ego versions 0.4.0 dated 2018-08-17 and 0.5 dated 2019-05-31

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New package EIX with initial version 1.0
Package: EIX
Title: Explain Interactions in 'XGBoost'
Version: 1.0
Authors@R: c( person("Ewelina", "Karbowiak", email = "ewelina.karbowiak12@gmail.com", role = c("aut", "cre")), person("Przemyslaw", "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut","ths")) )
Description: Structure mining from 'XGBoost' and 'LightGBM' models. Key functionalities of this package cover: visualisation of tree-based ensembles models, identification of interactions, measuring of variable importance, measuring of interaction importance, explanation of single prediction with break down plots (based on 'xgboostExplainer' and 'breakDown' packages). To download the 'LightGBM' use the following link: <https://github.com/Microsoft/LightGBM>. 'EIX' is a part of the 'DrWhy.AI' universe.
Depends: R (>= 3.4.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: MASS, ggplot2, data.table, purrr, xgboost, DALEX, ggrepel, ggiraphExtra, iBreakDown, Matrix, tidyr, scales
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, lightgbm,
VignetteBuilder: knitr
URL: https://github.com/ModelOriented/EIX
BugReports: https://github.com/ModelOriented/EIX/issues
NeedsCompilation: no
Packaged: 2019-05-28 13:29:00 UTC; hp
Author: Ewelina Karbowiak [aut, cre], Przemyslaw Biecek [aut, ths]
Maintainer: Ewelina Karbowiak <ewelina.karbowiak12@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-31 15:40:10 UTC

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Package compound.Cox updated to version 3.16 with previous version 3.15 dated 2019-04-03

Title: Univariate Feature Selection and Compound Covariate for Predicting Survival
Description: Univariate feature selection and compound covariate methods under the Cox model with high-dimensional features (e.g., gene expressions). Available are survival data for non-small-cell lung cancer patients with gene expressions (Chen et al 2007 New Engl J Med) <DOI:10.1056/NEJMoa060096>, statistical methods in Emura et al (2012 PLoS ONE) <DOI:10.1371/journal.pone.0047627>, Emura & Chen (2016 Stat Methods Med Res) <DOI:10.1177/0962280214533378>, and Emura et al. (2019)<DOI:10.1016/j.cmpb.2018.10.020>. Algorithms for generating correlated gene expressions are also available.
Author: Takeshi Emura, Hsuan-Yu Chen, Shigeyuki Matsui, Yi-Hau Chen
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

Diff between compound.Cox versions 3.15 dated 2019-04-03 and 3.16 dated 2019-05-31

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Package Ball updated to version 1.3.8 with previous version 1.3.7 dated 2018-12-14

Title: Statistical Inference and Sure Independence Screening via Ball Statistics
Description: Hypothesis tests and sure independence screening (SIS) procedure based on ball statistics, including ball divergence <doi:10.1214/17-AOS1579>, ball covariance <doi:10.1080/01621459.2018.1543600>, and ball correlation <doi:10.1080/01621459.2018.1462709>, are developed to analyze complex data in metric spaces, e.g, shape, directional, compositional and symmetric positive definite matrix data. The ball divergence and ball covariance based distribution-free tests are implemented to detecting distribution difference and association in metric spaces <arXiv:1811.03750>. Furthermore, several generic non-parametric feature selection procedures based on ball correlation, BCor-SIS and all of its variants, are implemented to tackle the challenge in the context of ultra high dimensional data.
Author: Xueqin Wang, Wenliang Pan, Heping Zhang, Hongtu Zhu, Yuan Tian, Weinan Xiao, Chengfeng Liu, Ruihuang Liu, Jin Zhu
Maintainer: Jin Zhu <zhuj37@mail2.sysu.edu.cn>

Diff between Ball versions 1.3.7 dated 2018-12-14 and 1.3.8 dated 2019-05-31

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Package ruimtehol updated to version 0.2.1 with previous version 0.2 dated 2019-05-08

Title: Learn Text 'Embeddings' with 'Starspace'
Description: Wraps the 'StarSpace' library <https://github.com/facebookresearch/StarSpace> allowing users to calculate word, sentence, article, document, webpage, link and entity 'embeddings'. By using the 'embeddings', you can perform text based multi-label classification, find similarities between texts and categories, do collaborative-filtering based recommendation as well as content-based recommendation, find out relations between entities, calculate graph 'embeddings' as well as perform semi-supervised learning and multi-task learning on plain text. The techniques are explained in detail in the paper: 'StarSpace: Embed All The Things!' by Wu et al. (2017), available at <arXiv:1709.03856>.
Author: Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Facebook, Inc. [cph] (Starspace (BSD licensed))
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between ruimtehol versions 0.2 dated 2019-05-08 and 0.2.1 dated 2019-05-31

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Package loose.rock updated to version 1.0.16 with previous version 1.0.13 dated 2019-05-13

Title: Tools for Survival Analysis and Data Science
Description: Collection of functions to improve work-flow in survival analysis and data science. The package features include: the generation of balanced datasets, live retrieval of protein coding genes from two public databases, generation of random matrix based on covariance matrix, cache function to store function results. This work was supported by two grants from the Portuguese Foundation for Science and technology, and the EU Commission under SOUND project.
Author: André Veríssimo [aut, cre], Susana Vinga [aut]
Maintainer: André Veríssimo <andre.verissimo@tecnico.ulisboa.pt>

Diff between loose.rock versions 1.0.13 dated 2019-05-13 and 1.0.16 dated 2019-05-31

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Package hutils updated to version 1.5.0 with previous version 1.4.0 dated 2019-03-09

Title: Miscellaneous R Functions and Aliases
Description: Provides utility functions for, and drawing on, the 'data.table' package. The package also collates useful miscellaneous functions extending base R not available elsewhere. The name is a portmanteau of 'utils' and the author.
Author: Hugh Parsonage [aut, cre], Michael Frasco [ctb], Ben Hamner [ctb]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between hutils versions 1.4.0 dated 2019-03-09 and 1.5.0 dated 2019-05-31

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Package cdcsis updated to version 2.0.2 with previous version 2.0.1 dated 2019-04-16

Title: Conditional Distance Correlation Based Feature Screening and Conditional Independence Inference
Description: Conditional distance correlation <doi:10.1080/01621459.2014.993081> is a novel conditional dependence measurement of two multivariate random variables given a confounding variable. This package provides conditional distance correlation, performs the conditional distance correlation sure independence screening procedure for ultrahigh dimensional data <doi:10.5705/ss.202014.0117>, and conducts conditional distance covariance test for conditional independence assumption of two multivariate variable.
Author: Wenhao Hu, Mian Huang, Wenliang Pan, Xueqin Wang, Canhong Wen, Yuan Tian, Heping Zhang, Jin Zhu
Maintainer: Jin Zhu <zhuj37@mail2.sysu.edu.cn>

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Package touchard updated to version 2.0.1 with previous version 2.0 dated 2019-02-08

Title: Touchard Model and Regression
Description: Tools for analyzing count data with the Touchard model (Matsushita et al., 2018, Comm Stat Th Meth <doi:10.1080/03610926.2018.1444177>). It includes univariate estimation (ML and MM) and regression tools developed by Andrade et al. (submitted).
Author: Bernardo Andrade and Sandro Oliveira
Maintainer: Bernardo Andrade <bbandrade@unb.br>

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Package finalfit updated to version 0.9.3 with previous version 0.9.2 dated 2019-05-31

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>

Diff between finalfit versions 0.9.2 dated 2019-05-31 and 0.9.3 dated 2019-05-31

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Package fcros updated to version 1.6.1 with previous version 1.6 dated 2019-02-01

Title: A Method to Search for Differentially Expressed Genes and to Detect Recurrent Chromosomal Copy Number Aberrations
Description: A fold change rank based method is presented to search for genes with changing expression and to detect recurrent chromosomal copy number aberrations. This method may be useful for high-throughput biological data (micro-array, sequencing, ...). Probabilities are associated with genes or probes in the data set and there is no problem of multiple tests when using this method. For array-based comparative genomic hybridization data, segmentation results are obtained by merging the significant probes detected.
Author: Doulaye Dembele
Maintainer: Doulaye Dembele <doulaye@igbmc.fr>

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Package exampletestr updated to version 1.4.2 with previous version 1.4.1 dated 2018-11-07

Title: Help for Writing Unit Tests Based on Function Examples
Description: Take the examples written in your documentation of functions and use them to create shells (skeletons which must be manually completed by the user) of test files to be tested with the 'testthat' package.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>), Sergi Padilla-Parra [ths] (<https://orcid.org/0000-0002-8010-9481>), Thomas Quinn [rev] (<https://orcid.org/0000-0003-0286-6329>), Laurent Gatto [rev] (<https://orcid.org/0000-0002-1520-2268>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package crfsuite updated to version 0.3 with previous version 0.2 dated 2018-10-21

Title: Conditional Random Fields for Labelling Sequential Data in Natural Language Processing
Description: Wraps the 'CRFsuite' library <https://github.com/chokkan/crfsuite> allowing users to fit a Conditional Random Field model and to apply it on existing data. The focus of the implementation is in the area of Natural Language Processing where this R package allows you to easily build and apply models for named entity recognition, text chunking, part of speech tagging, intent recognition or classification of any category you have in mind. Next to training, a small web application is included in the package to allow you to easily construct training data.
Author: Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Naoaki Okazaki [aut, ctb, cph] (CRFsuite library (BSD licensed), libLBFGS library (MIT licensed), Constant Quark Database software (BSD licensed)), Bob Jenkins [aut, ctb] (File src/cqdb/src/lookup3.c (Public Domain)), Jorge Nocedal [aut, ctb, cph] (libLBFGS library (MIT licensed)), Jesse Long [aut, ctb, cph] (RumAVL library (MIT licensed))
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package tsfknn updated to version 0.3.0 with previous version 0.2.0 dated 2019-04-09

Title: Time Series Forecasting Using Nearest Neighbors
Description: Allows to forecast time series using nearest neighbors regression Francisco Martinez, Maria P. Frias, Maria D. Perez-Godoy and Antonio J. Rivera (2017) <doi:10.1007/s10462-017-9593-z>. When the forecasting horizon is higher than 1, two multi-step ahead forecasting strategies can be used. The model built is autoregressive, that is, it is only based on the observations of the time series. The nearest neighbors used in a prediction can be consulted and plotted.
Author: Francisco Martinez [aut, cre]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

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Package pkgcache updated to version 1.0.5 with previous version 1.0.4 dated 2019-05-13

Title: Cache 'CRAN'-Like Metadata and R Packages
Description: Metadata and package cache for CRAN-like repositories. This is a utility package to be used by package management tools that want to take advantage of caching.
Author: Gábor Csárdi [aut, cre]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between pkgcache versions 1.0.4 dated 2019-05-13 and 1.0.5 dated 2019-05-31

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Package BTM updated to version 0.2.1 with previous version 0.2 dated 2018-12-27

Title: Biterm Topic Models for Short Text
Description: Biterm Topic Models find topics in collections of short texts. It is a word co-occurrence based topic model that learns topics by modeling word-word co-occurrences patterns which are called biterms. This in contrast to traditional topic models like Latent Dirichlet Allocation and Probabilistic Latent Semantic Analysis which are word-document co-occurrence topic models. A biterm consists of two words co-occurring in the same short text window. This context window can for example be a twitter message, a short answer on a survey, a sentence of a text or a document identifier. The techniques are explained in detail in the paper 'A Biterm Topic Model For Short Text' by Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng (2013) <https://github.com/xiaohuiyan/xiaohuiyan.github.io/blob/master/paper/BTM-WWW13.pdf>.
Author: Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Xiaohui Yan [ctb, cph] (BTM C++ library)
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package TSrepr updated to version 1.0.3 with previous version 1.0.2 dated 2018-11-22

Title: Time Series Representations
Description: Methods for representations (i.e. dimensionality reduction, preprocessing, feature extraction) of time series to help more accurate and effective time series data mining. Non-data adaptive, data adaptive, model-based and data dictated (clipped) representation methods are implemented. Also min-max and z-score normalisations, and forecasting accuracy measures are implemented.
Author: Peter Laurinec [aut, cre] (<https://orcid.org/0000-0002-3501-8783>)
Maintainer: Peter Laurinec <tsreprpackage@gmail.com>

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Package finalfit updated to version 0.9.2 with previous version 0.9.1 dated 2019-03-26

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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New package drifter with initial version 0.2.1
Package: drifter
Title: Concept Drift and Concept Shift Detection for Predictive Models
Version: 0.2.1
Authors@R: person("Przemyslaw", "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut", "cre"))
Description: Concept drift refers to the change in the data distribution or in the relationships between variables over time. 'drifter' calculates distances between variable distributions or variable relations and identifies both types of drift. Key functions are: calculate_covariate_drift() checks distance between corresponding variables in two datasets, calculate_residuals_drift() checks distance between residual distributions for two models, calculate_model_drift() checks distance between partial dependency profiles for two models, check_drift() executes all checks against drift. 'drifter' is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Depends: R (>= 3.1)
License: GPL
Encoding: UTF-8
LazyData: true
Imports: DALEX, dplyr, tidyr, ingredients
Suggests: testthat, ranger
RoxygenNote: 6.1.1
URL: https://ModelOriented.github.io/drifter/
BugReports: https://github.com/ModelOriented/drifter/issues
NeedsCompilation: no
Packaged: 2019-05-27 19:38:51 UTC; pbiecek
Author: Przemyslaw Biecek [aut, cre]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-31 09:30:03 UTC

More information about drifter at CRAN
Permanent link

New package colocr with initial version 0.1.0
Package: colocr
Type: Package
Title: Conduct Co-Localization Analysis of Fluorescence Microscopy Images
Version: 0.1.0
License: GPL-3
Authors@R: person("Mahmoud", "Ahmed", email = "mahmoud.s.fahmy@students.kasralainy.edu.eg", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4377-6541"))
URL: https://github.com/ropensci/colocr
BugReports: https://github.com/ropensci/colocr/issues
Description: Automate the co-localization analysis of fluorescence microscopy images. Selecting regions of interest, extract pixel intensities from the image channels and calculate different co-localization statistics. The methods implemented in this package are based on Dunn et al. (2011) <doi:10.1152/ajpcell.00462.2010>.
Encoding: UTF-8
LazyData: true
Suggests: testthat, shinytest, covr, knitr, rmarkdown, devtools, purrr, shinyBS
RoxygenNote: 6.1.1
Imports: imager, magick, shiny, scales, magrittr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-28 01:18:54 UTC; rstudio
Author: Mahmoud Ahmed [aut, cre] (<https://orcid.org/0000-0002-4377-6541>)
Maintainer: Mahmoud Ahmed <mahmoud.s.fahmy@students.kasralainy.edu.eg>
Repository: CRAN
Date/Publication: 2019-05-31 09:40:03 UTC

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New package beastier with initial version 2.0.14
Package: beastier
Type: Package
Title: Call 'BEAST2'
Version: 2.0.14
Authors@R: c( person("Richèl J.C.", "Bilderbeek", email = "richel@richelbilderbeek.nl", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1107-7049")), person("Joëlle", "Barido-Sottani", role = "rev", comment = "Joëlle reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/209"), person("David", "Winter", role = "rev", comment = "David reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/209"))
Maintainer: Richèl J.C. Bilderbeek <richel@richelbilderbeek.nl>
Description: 'BEAST2' (<http://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'BEAST2' is a command-line tool. This package provides a way to call 'BEAST2' from an 'R' function call.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: ape, phangorn, rappdirs, rJava, stringr, xml2
Suggests: beautier, hunspell, knitr, rmarkdown, spelling, testit, testthat, tracerer
URL: https://github.com/ropensci/beastier
BugReports: https://github.com/ropensci/beastier
Language: en-US
VignetteBuilder: knitr
SystemRequirements: BEAST2 (http://www.beast2.org/)
NeedsCompilation: no
Packaged: 2019-05-28 06:23:48 UTC; richel
Author: Richèl J.C. Bilderbeek [aut, cre] (<https://orcid.org/0000-0003-1107-7049>), Joëlle Barido-Sottani [rev] (Joëlle reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/209), David Winter [rev] (David reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/209)
Repository: CRAN
Date/Publication: 2019-05-31 10:00:03 UTC

More information about beastier at CRAN
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Package StepReg updated to version 1.2.0 with previous version 1.1.0 dated 2019-05-24

Title: Stepwise Regression Analysis
Description: Stepwise regression analysis for variable selection can be used to get the best candidate final regression model in univariate or multivariate regression analysis with the 'forward' and 'stepwise' steps. Procedure can use Akaike information criterion, corrected Akaike information criterion, Bayesian information criterion, Hannan and Quinn information criterion, corrected Hannan and Quinn information criterion, Schwarz criterion and significance levels as selection criteria. Multicollinearity detection in regression model are performed by checking tolerance value. Continuous variables nested within class effect and weighted stepwise regression are also considered in this package.
Author: Junhui Li,Kun Cheng,Wenxin Liu
Maintainer: Junhui Li <junhuili@cau.edu.cn>

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Package rdwd updated to version 1.1.0 with previous version 1.0.0 dated 2019-03-17

Title: Select and Download Climate Data from 'DWD' (German Weather Service)
Description: Handle climate data from the 'DWD' ('Deutscher Wetterdienst', see <https://www.dwd.de/EN/climate_environment/cdc/cdc.html> for more information). Choose files with 'selectDWD()', download and process data sets with 'dataDWD()' and 'readDWD()'.
Author: Berry Boessenkool
Maintainer: Berry Boessenkool <berry-b@gmx.de>

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New package NPMLENCC with initial version 1.0
Package: NPMLENCC
Title: Non-Parametric Maximum Likelihood Estimate for Cohort Samplings
Version: 1.0
Description: To compute the non-parametric maximum likelihood estimates (NPMLEs) and penalized NPMLEs with SCAD, HARD and LASSO penalties for nested case-control or case-cohort sampling design with time matching under Cox's regression model. It also proposes the standard error formula for estimator using observed profile likelihood. For details about (penalized) NPNLEs see the original paper "Penalized Full Likelihood Approach to Variable Selection for Cox's Regression Model under Nested Case-Control Sampling" by Wang et al. (2019) <doi:10.1007/s10985-019-09475-z>.
Author: Jie-Huei Wang, Chun-Hao Pan, I-Shou Chang, and Chao A. Hsiung
Maintainer: Jie-Huei Wang <jhwang@stat.sinica.edu.tw>
Date: 2019-05-27
Depends: R (>= 3.4.3), MASS, survival, splines
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Repository: CRAN
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-27 07:32:16 UTC; user
Date/Publication: 2019-05-31 08:30:03 UTC

More information about NPMLENCC at CRAN
Permanent link

Package nlmixr updated to version 1.1.0-8 with previous version 1.0.0-7 dated 2018-09-23

Title: Nonlinear Mixed Effects Models in Population Pharmacokinetics and Pharmacodynamics
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'RxODE' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut] (<https://orcid.org/0000-0001-8538-6691>), Yuan Xiong [aut], Rik Schoemaker [aut] (<https://orcid.org/0000-0002-7538-3005>), Justin Wilkins [aut] (<https://orcid.org/0000-0002-7099-9396>), Mirjam Trame [aut], Richard Hooijmaijers [aut], Teun Post [aut], Robert Leary [ctb], Wenping Wang [aut, cre], Hadley Wickham [ctb], Dirk Eddelbuettel [cph], Johannes Pfeifer [ctb], Robert B. Schnabel [ctb], Elizabeth Eskow [ctb], Emmanuelle Comets [ctb], Audrey Lavenu [ctb], Marc Lavielle [ctb], David Ardia [cph], Bill Denney [ctb] (<https://orcid.org/0000-0002-5759-428X>), Katharine Mullen [cph]
Maintainer: Wenping Wang <wwang8198@gmail.com>

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Package HWxtest updated to version 1.1.9 with previous version 1.1.7 dated 2016-01-13

Title: Exact Tests for Hardy-Weinberg Proportions
Description: Tests whether a set of genotype counts fits the HW expectations. Exact tests performed by an efficient algorithm. Included test statistics are likelihood ratio, probability, U-score and Pearson's X2.
Author: Bill Engels <wrengels@wisc.edu>
Maintainer: Bill Engels <wrengels@wisc.edu>

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New package BayesianPower with initial version 0.1.6
Package: BayesianPower
Type: Package
Title: Sample Size and Power for Comparing Inequality Constrained Hypotheses
Version: 0.1.6
Author: Fayette Klaassen
Maintainer: Fayette Klaassen <klaassen.fayette@gmail.com>
Description: A collection of methods to determine the required sample size for the evaluation of inequality constrained hypotheses by means of a Bayes factor. Alternatively, for a given sample size, the unconditional error probabilities or the expected conditional error probabilities can be determined. Additional material on the methods in this package is available in Klaassen, F., Hoijtink, H. & Gu, X. (2019) <doi:10.31219/osf.io/d5kf3>.
License: LGPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-27 17:25:42 UTC; 4104803
Repository: CRAN
Date/Publication: 2019-05-31 08:50:15 UTC

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Package RDS updated to version 0.9-0 with previous version 0.8-1 dated 2017-12-01

Title: Respondent-Driven Sampling
Description: Provides functionality for carrying out estimation with data collected using Respondent-Driven Sampling. This includes Heckathorn's RDS-I and RDS-II estimators as well as Gile's Sequential Sampling estimator. The package is part of the "RDS Analyst" suite of packages for the analysis of respondent-driven sampling data. See Gile and Handcock (2010) <doi:10.1111/j.1467-9531.2010.01223.x> and Gile and Handcock (2015) <doi:10.1111/rssa.12091>.
Author: Mark S. Handcock [aut, cre], Krista J. Gile [aut], Ian E. Fellows [aut], W. Whipple Neely [aut]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>

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Package MedDietCalc updated to version 0.1.1 with previous version 0.1.0 dated 2017-04-07

Title: Multi Calculator to Compute Scores of Adherence to Mediterranean Diet
Description: Multi Calculator of different scores to measure adherence to Mediterranean Diet, to compute them in nutriepidemiological data. Additionally, a sample dataset of this kind of data is provided, and some other minor tools useful in epidemiological studies.
Author: Miguel Menendez [aut, cre], David Lora [ctb], Agustin Gomez-Camara [dtc]
Maintainer: Miguel Menendez <miguelmo@gmail.com>

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Package Evapotranspiration updated to version 1.14 with previous version 1.13 dated 2019-05-06

Title: Modelling Actual, Potential and Reference Crop Evapotranspiration
Description: Uses data and constants to calculate potential evapotranspiration (PET) and actual evapotranspiration (AET) from 21 different formulations including Penman, Penman-Monteith FAO 56, Priestley-Taylor and Morton formulations.
Author: Danlu Guo [aut, cre] <danlu.guo@adelaide.edu.au>, Seth Westra [aut] <swestra@civeng.adelaide.edu.au>, Tim Peterson [ctb] <timjp@unimelb.edu.au>
Maintainer: Danlu Guo <danlu.guo@unimelb.edu.au>

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Package robis updated to version 2.1.6 with previous version 2.1.0 dated 2019-02-27

Title: Ocean Biogeographic Information System (OBIS) Client
Description: Client for the Ocean Biogeographic Information System (<https://obis.org>).
Author: Pieter Provoost [cre, aut], Samuel Bosch [aut], Ward Appeltans [ctb], OBIS [cph]
Maintainer: Pieter Provoost <pieterprovoost@gmail.com>

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Package float updated to version 0.2-3 with previous version 0.2-2 dated 2019-02-26

Title: 32-Bit Floats
Description: R comes with a suite of utilities for linear algebra with "numeric" (double precision) vectors/matrices. However, sometimes single precision (or less!) is more than enough for a particular task. This package extends R's linear algebra facilities to include 32-bit float (single precision) data. Float vectors/matrices have half the precision of their "numeric"-type counterparts but are generally faster to numerically operate on, for a performance vs accuracy trade-off. The internal representation is an S4 class, which allows us to keep the syntax identical to that of base R's. Interaction between floats and base types for binary operators is generally possible; in these cases, type promotion always defaults to the higher precision. The package ships with copies of the single precision 'BLAS' and 'LAPACK', which are automatically built in the event they are not available on the system.
Author: Drew Schmidt [aut, cre, cph], Wei-Chen Chen [aut], Dmitriy Selivanov [ctb] (improvements in external package linking), ORNL [cph]
Maintainer: Drew Schmidt <wrathematics@gmail.com>

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Package colorSpec updated to version 0.9-1 with previous version 0.8-3 dated 2019-03-04

Title: Color Calculations with Emphasis on Spectral Data
Description: Calculate with spectral properties of light sources, materials, cameras, eyes, and scanners. Build complex systems from simpler parts using a spectral product algebra. For light sources, compute CCT, CRI, and SSI. For object colors, compute optimal colors and Logvinenko coordinates. Work with the standard CIE illuminants and color matching functions, and read spectra from text files, including CGATS files. Estimate a spectrum from its response. A user guide and 8 vignettes are included.
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

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