Fri, 12 Oct 2018

Package mase updated to version 0.1.2 with previous version 0.1.1 dated 2018-06-14

Title: Model-Assisted Survey Estimators
Description: A set of model-assisted survey estimators and corresponding variance estimators for single stage, unequal probability, without replacement sampling designs. All of the estimators can be written as a generalized regression estimator with the Horvitz-Thompson, ratio, post-stratified, and regression estimators summarized by Sarndal et al. (1992, ISBN:978-0-387-40620-6). Two of the estimators employ a statistical learning model as the assisting model: the elastic net regression estimator, which is an extension of the lasso regression estimator given by McConville et al. (2017) <doi:10.1093/jssam/smw041>, and the regression tree estimator described in McConville and Toth (2017) <arXiv:1712.05708>. The variance estimators which approximate the joint inclusion probabilities can be found in Berger and Tille (2009) <doi:10.1016/S0169-7161(08)00002-3> and the bootstrap variance estimator is presented in Mashreghi et al. (2016) <doi:10.1214/16-SS113>.
Author: Kelly McConville [aut, cre, cph], Becky Tang [aut], George Zhu [aut], Sida Li [ctb], Shirley Chueng [ctb], Daniell Toth [ctb, cph] (Author and copyright holder of treeDesignMatrix helper function)
Maintainer: Kelly McConville <mcconville@reed.edu>

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Package BOIN updated to version 2.6.4 with previous version 2.6.3 dated 2018-04-10

Title: Bayesian Optimal INterval (BOIN) Design for Single-Agent and Drug- Combination Phase I Clinical Trials
Description: The Bayesian optimal interval (BOIN) design is a novel phase I clinical trial design for finding the maximum tolerated dose (MTD). It can be used to design both single-agent and drug-combination trials. The BOIN design is motivated by the top priority and concern of clinicians when testing a new drug, which is to effectively treat patients and minimize the chance of exposing them to subtherapeutic or overly toxic doses. The prominent advantage of the BOIN design is that it achieves simplicity and superior performance at the same time. The BOIN design is algorithm-based and can be implemented in a simple way similar to the traditional 3+3 design. The BOIN design yields an average performance that is comparable to that of the continual reassessment method (CRM, one of the best model-based designs) in terms of selecting the MTD, but has a substantially lower risk of assigning patients to subtherapeutic or overly toxic doses.
Author: Ying Yuan and Suyu Liu
Maintainer: Ying Yuan <yyuan@mdanderson.org>

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Package nlts updated to version 1.0-2 with previous version 0.2-2 dated 2017-08-28

Title: Nonlinear Time Series Analysis
Description: R functions for (non)linear time series analysis with an emphasis on nonparametric autoregression and order estimation, and tests for linearity / additivity.
Author: Ottar N. Bjornstad [aut, cre]
Maintainer: Ottar N. Bjornstad <onb1@psu.edu>

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Package icr updated to version 0.5.7 with previous version 0.5.6 dated 2018-07-24

Title: Compute Krippendorff's Alpha
Description: Provides functions to compute and plot Krippendorff's inter-coder reliability coefficient alpha and bootstrapped uncertainty estimates (Krippendorff 2004, ISBN:0761915443). The bootstrap routines are set up to make use of parallel threads where supported.
Author: Alexander Staudt [aut, cre], Pierre L'Ecuyer [ctb] (author of the C++ RNG code)
Maintainer: Alexander Staudt <staudtlex@live.de>

Diff between icr versions 0.5.6 dated 2018-07-24 and 0.5.7 dated 2018-10-12

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Package comperes updated to version 0.2.1 with previous version 0.2.0 dated 2018-05-11

Title: Manage Competition Results
Description: Tools for storing and managing competition results. Competition is understood as a set of games in which players gain some abstract scores. There are two ways for storing results: in long (one row per game-player) and wide (one row per game with fixed amount of players) formats. This package provides functions for creation and conversion between them. Also there are functions for computing their summary and Head-to-Head values for players. They leverage grammar of data manipulation from 'dplyr'.
Author: Evgeni Chasnovski [aut, cre]
Maintainer: Evgeni Chasnovski <evgeni.chasnovski@gmail.com>

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Package bayesPop updated to version 7.0-0 with previous version 6.2-4 dated 2018-03-16

Title: Probabilistic Population Projection
Description: Generating population projections for all countries of the world using several probabilistic components, such as total fertility rate and life expectancy.
Author: Hana Sevcikova, Adrian Raftery, Thomas Buettner
Maintainer: Hana Sevcikova <hanas@uw.edu>

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Package rococo updated to version 1.1.7 with previous version 1.1.5 dated 2017-07-08

Title: Robust Rank Correlation Coefficient and Test
Description: Provides the robust gamma rank correlation coefficient as introduced by Bodenhofer, Krone, and Klawonn (2013) <DOI:10.1016/j.ins.2012.11.026> along with a permutation-based rank correlation test. The rank correlation coefficient and the test are explicitly designed for dealing with noisy numerical data.
Author: Martin Krone, Ulrich Bodenhofer
Maintainer: Ulrich Bodenhofer <bodenhofer@bioinf.jku.at>

Diff between rococo versions 1.1.5 dated 2017-07-08 and 1.1.7 dated 2018-10-12

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Package Phase123 updated to version 1.7 with previous version 1.5 dated 2018-03-28

Title: Simulating and Conducting Phase 123 Trials
Description: Contains three simulation functions for implementing the entire Phase 123 trial and the separate Eff-Tox and Phase 3 portions of the trial, which may be beneficial for use on clusters. The functions AssignEffTox() and RandomizeEffTox() assign doses to patient cohorts during phase 12 and Reoptimize() determines the optimal dose to continue with during Phase 3. The functions ReturnMeansAgent() and ReturnMeanControl() gives the true mean survival for the agent doses and control and ReturnOCS() gives the operating characteristics of the design.
Author: Andrew G Chapple
Maintainer: Andrew G Chapple <achapp@lsuhsc.edu>

Diff between Phase123 versions 1.5 dated 2018-03-28 and 1.7 dated 2018-10-12

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Package egoTERGM updated to version 2.0.1 with previous version 1.0.0 dated 2018-04-25

Title: Estimation of Ego-Temporal Exponential Random Graph Models via Expectation Maximization (EM)
Description: Estimation of ego-temporal exponential random graph models with two-stage estimation including initialization through k-means clustering on temporal exponential random graph model parameters and EM as per Campbell (2018) <doi:10.7910/DVN/TWHEZ9>.
Author: Benjamin W. Campbell [aut, cre], Michael Salter-Townshend [ctb], Thomas Brendan Murphy [ctb]
Maintainer: Benjamin W. Campbell <campbell.1721@osu.edu>

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New package ChemoSpecUtils with initial version 0.1.62
Package: ChemoSpecUtils
Type: Package
Title: Functions Supporting Packages ChemoSpec and ChemoSpec2D
Version: 0.1.62
Date: 2018-10-12
Authors@R: c( person("Bryan A.", "Hanson", role = c("aut", "cre"), email = "hanson@depauw.edu", comment = "ORCID 0000-0003-3536-8246"))
Description: Functions supporting the common needs of packages 'ChemoSpec' and 'ChemoSpec2D'.
License: GPL-3
Depends: R (>= 3.1)
Suggests: ChemoSpec (>= 5.0), ChemoSpec2D
Imports: plyr, robustbase, RColorBrewer
URL: https://github.com/bryanhanson/ChemoSpecUtils
ByteCompile: TRUE
BugReports: https://github.com/bryanhanson/ChemoSpecUtils/issues
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-10-12 13:45:37 UTC; bryanhanson
Author: Bryan A. Hanson [aut, cre] (ORCID 0000-0003-3536-8246)
Maintainer: Bryan A. Hanson <hanson@depauw.edu>
Repository: CRAN
Date/Publication: 2018-10-12 16:50:21 UTC

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Package crqa updated to version 1.0.9 with previous version 1.0.8 dated 2018-08-19

Title: Cross-Recurrence Quantification Analysis for Categorical and Continuous Time-Series
Description: Cross-recurrence quantification analysis of two time-series, of either categorical or continuous values. It provides different methods for profiling cross-recurrence, i.e., only looking at the diagonal recurrent points, as well as more in-depth measures of the whole cross-recurrence plot, e.g., recurrence rate. Please refer to by Coco and Dale (2014) <doi:10.3389/fpsyg.2014.00510> for further details about the method.
Author: Moreno I. Coco and Rick Dale with contributions of James D. Dixon and John Nash
Maintainer: Moreno I. Coco <moreno.cocoi@gmail.com>

Diff between crqa versions 1.0.8 dated 2018-08-19 and 1.0.9 dated 2018-10-12

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New package VFS with initial version 1.0.2
Package: VFS
Title: Vegetated Filter Strip and Erosion Model
Version: 1.0.2
Date: 2018-10-01
Authors@R: c(person("Sarah", "Goslee", role = c("aut", "cre"), email = "Sarah.Goslee@ars.usda.gov"), person("Heather", "Gall", role = "aut"), person("Tamie", "Veith", role = "aut"))
Depends: R (>= 3.4.0)
Imports: stats, graphics, e1071, nleqslv (>= 3.3.0)
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Description: Empirical models for runoff, erosion, and phosphorus loss across a vegetated filter strip, given slope, soils, climate, and vegetation (Gall et al., 2018) <doi:10.1007/s00477-017-1505-x>. It also includes functions for deriving climate parameters from measured daily weather data, and for simulating rainfall. Models implemented include MUSLE (Williams, 1975) and APLE (Vadas et al., 2009 <doi:10.2134/jeq2008.0337>).
License: GPL-3
BugReports: https://github.com/sgoslee/VFS/issues
LazyData: true
NeedsCompilation: no
Packaged: 2018-10-01 16:20:35 UTC; sarahg
Author: Sarah Goslee [aut, cre], Heather Gall [aut], Tamie Veith [aut]
Maintainer: Sarah Goslee <Sarah.Goslee@ars.usda.gov>
Repository: CRAN
Date/Publication: 2018-10-12 13:20:10 UTC

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New package varbin with initial version 0.2.1
Package: varbin
Type: Package
Title: Optimal Binning of Continuous and Categorical Variables
Version: 0.2.1
Date: 2018-09-21
Author: Daniel Safai
Maintainer: Daniel Safai <danielsafai@gmail.com>
Description: Tool for easy and efficient discretization of continuous and categorical data. The package calculates the most optimal binning of a given explanatory variable with respect to a user-specified target variable. The purpose is to assign a unique Weight-of-Evidence value to each of the calculated binpoints in order to recode the original variable. The package allows users to impose certain restrictions on the functional form on the resulting binning while maximizing the overall information value in the original data. The package is well suited for logistic scoring models where input variables may be subject to restrictions such as linearity by e.g. regulatory authorities. An excellent source describing in detail the development of scorecards, and the role of Weight-of-Evidence coding in credit scoring is (Siddiqi 2006, ISBN: 978–0-471–75451–0). The package utilizes the discrete nature of decision trees and Isotonic Regression to accommodate the trade-off between flexible functional forms and maximum information value.
License: GPL (>= 2)
Imports: rpart
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-10-02 12:56:54 UTC; danielsafai
Repository: CRAN
Date/Publication: 2018-10-12 13:50:03 UTC

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Package TBFmultinomial updated to version 0.1.3 with previous version 0.1.2 dated 2018-08-23

Title: TBF Methodology Extension for Multinomial Outcomes
Description: Extends the test-based Bayes factor (TBF) methodology to multinomial regression models and discrete time-to-event models with competing risks. The TBF methodology has been well developed and implemented for the generalised linear model [Held et al. (2015) <doi:10.1214/14-STS510>] and for the Cox model [Held et al. (2016) <doi:10.1002/sim.7089>].
Author: Rachel Heyard [aut, cre]
Maintainer: Rachel Heyard <rachel.heyard@uzh.ch>

Diff between TBFmultinomial versions 0.1.2 dated 2018-08-23 and 0.1.3 dated 2018-10-12

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New package slouch with initial version 2.1.0
Package: slouch
Type: Package
Title: Stochastic Linear Ornstein-Uhlenbeck Comparative Hypotheses
Version: 2.1.0
Date: 2018-10-02
Authors@R: c(person("Bj\u00F8rn Tore", "Kopperud", role =c("aut", "cre"), email = "b.t.kopperud@nhm.uio.no"), person("Jason", "Pienaar", role = c("aut")), person("Kjetil Lysne", "Voje", role = c("aut")), person("Steven Hecht", "Orzack", role = c("aut")), person("Thomas F.", "Hansen", role = c("aut")), person("Mark", "Grabowski", role = c("ctb")))
Description: An implementation of a phylogenetic comparative method. It can fit univariate among-species Ornstein-Uhlenbeck models of phenotypic trait evolution, where the trait evolves towards a primary optimum. The optimum can be modelled as a single parameter, as multiple discrete regimes on the phylogenetic tree, and/or with continuous covariates.
License: GPL-2
LazyData: FALSE
ByteCompile: FALSE
RoxygenNote: 6.1.0
Depends: R (>= 3.0.0), base, stats
Imports: parallel, ape, memoise
Suggests: knitr, rmarkdown, bookdown, testthat
URL: http://github.com/kopperud/slouch
BugReports: http://github.com/kopperud/slouch/issues
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2018-10-02 15:50:37 UTC; bjorntko
Author: Bjørn Tore Kopperud [aut, cre], Jason Pienaar [aut], Kjetil Lysne Voje [aut], Steven Hecht Orzack [aut], Thomas F. Hansen [aut], Mark Grabowski [ctb]
Maintainer: Bjørn Tore Kopperud <b.t.kopperud@nhm.uio.no>
Repository: CRAN
Date/Publication: 2018-10-12 13:50:06 UTC

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New package RcppNLoptExample with initial version 0.0.1
Package: RcppNLoptExample
Type: Package
Title: 'Rcpp' Package Illustrating Header-Only Access to 'NLopt'
Version: 0.0.1
Date: 2018-10-01
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Description: An example package which shows use of 'NLopt' functionality from C++ via 'Rcpp' without requiring linking, and relying just on 'nloptr' thanks to the exporting API added there by Jelmer Ypma. This package is a fully functioning, updated, and expanded version of the initial example by Julien Chiquet at <https://github.com/jchiquet/RcppArmadilloNLoptExample> also containing a large earlier pull request of mine.
License: GPL (>= 2)
Encoding: UTF-8
LinkingTo: Rcpp, nloptr (>= 1.2.0)
Imports: Rcpp, nloptr (>= 1.2.0)
Depends: R (>= 3.0.2)
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-10-02 02:32:59 UTC; edd
Repository: CRAN
Date/Publication: 2018-10-12 13:40:02 UTC

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New package pmpp with initial version 0.1.0
Package: pmpp
Type: Package
Title: Posterior Mean Panel Predictor
Version: 0.1.0
Date: 2018-09-23
Authors@R: person("Michal", "Oleszak", email = "oleszak.michal@gmail.com", role = c("aut", "cre"))
Description: Dynamic panel modelling framework based on an empirical-Bayes approach. Contains tools for computing point forecasts and bootstrapping prediction intervals. Reference: Liu et al. (2016) <doi:10.2139/ssrn.2889000>.
URL: https://github.com/veneficusnl/pmpp
BugReports: https://github.com/veneficusnl/pmpp/issues
License: GPL (>= 2)
Depends: R (>= 3.4.0)
Imports: plm, pracma, MASS, Matrix, minqa, dplyr, data.table, moments, magrittr, ggplot2, stats, utils, graphics
Suggests: testthat, lintr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-10-01 21:09:02 UTC; Asus
Author: Michal Oleszak [aut, cre]
Maintainer: Michal Oleszak <oleszak.michal@gmail.com>
Repository: CRAN
Date/Publication: 2018-10-12 13:50:09 UTC

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New package learnPopGen with initial version 0.9.8
Package: learnPopGen
Version: 0.9.8
Date: 2018-10-1
Title: Population Genetic Simulations & Numerical Analysis
Author: Liam J. Revell
Maintainer: Liam J. Revell <liam.revell@umb.edu>
Depends: R (>= 2.6)
Imports: grDevices, graphics, gtools, methods, phytools, stats
Suggests:
ZipData: no
Description: Conducts various numerical analyses and simulations in population genetics and evolutionary theory, primarily for the purpose of teaching (and learning about) key concepts in population & quantitative genetics, and evolutionary theory.
License: GPL (>= 2)
URL: http://github.com/liamrevell/PopGen
Packaged: 2018-10-01 19:51:28 UTC; liamj
Repository: CRAN
Date/Publication: 2018-10-12 13:20:03 UTC
NeedsCompilation: no

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New package ioanalysis with initial version 0.1
Package: ioanalysis
Title: Input Output Analysis
Version: 0.1
Authors@R: c( person("John", "Wade", email = "jjpwade2@illinois.edu", role = c("aut", "cre")), person("Ignacio", "Sarmiento-Barbieri", email = "srmntbr2@illinois.edu", role = c("aut")))
Author: John Wade [aut, cre], Ignacio Sarmiento-Barbieri [aut]
Maintainer: John Wade <jjpwade2@illinois.edu>
Description: Calculates fundamental IO matrices (Leontief, Wassily W. (1951) <doi:10.1038/scientificamerican1051-15>, Ghosh, A. (1958) <doi:10.2307/2550694>); within period analysis via various rankings and coefficients (Sonis and Hewings (2006) <doi:10.1080/09535319200000013>, Blair and Miller (2009) <ISBN:978-0-521-73902-3>, Antras et al (2012) <doi:10.3386/w17819>, Hummels, Ishii, and Yi (2001) <doi:10.1016/S0022-1996(00)00093-3>); across period analysis with impact analysis (Dietzenbacher, van der Linden, and Steenge (2006) <doi:10.1080/09535319300000017>, Sonis, Hewings, and Guo (2006) <doi:10.1080/09535319600000002>); and a variety of table operators.
Depends: R (>= 3.4.0)
License: GPL (>= 2)
URL: http://www.real.illinois.edu
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-10-01 19:14:16 UTC; JJPWade
Repository: CRAN
Date/Publication: 2018-10-12 13:20:06 UTC

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New package HARModel with initial version 0.1
Package: HARModel
Type: Package
Title: Heterogeneous Autoregressive Models
Version: 0.1
Date: 2018-09-26
Author: Emil Sjoerup
Maintainer: Emil Sjoerup <emilsjoerup@live.dk>
Description: Estimation, simulation, and forecasting using the HAR model from Corsi(2009) <DOI:10.1093/jjfinec/nbp001>.
License: GPL-3
Imports: Rcpp (>= 0.12.17) , xts, zoo, sandwich,
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Depends: R (>= 2.10), methods
Packaged: 2018-10-02 06:00:33 UTC; emils
Repository: CRAN
Date/Publication: 2018-10-12 14:00:02 UTC

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New package descstatsr with initial version 0.1.0
Package: descstatsr
Type: Package
Title: Descriptive Univariate Statistics
Version: 0.1.0
Author: Harish Kumar
Maintainer: Harish Kumar <kadamatiharish@gmail.com>
Description: It generates summary statistics on the input dataset using different descriptive univariate statistical measures on entire data or at a group level. Though there are other packages which does similar job but each of these are deficient in one form or other, in the measures generated, in treating numeric, character and date variables alike, no functionality to view these measures on a group level or the way the output is represented. Given the foremost role of the descriptive statistics in any of the exploratory data analysis or solution development, there is a need for a more constructive, structured and refined version over these packages. This is the idea behind the package and it brings together all the required descriptive measures to give an initial understanding of the data quality, distribution in a faster,easier and elaborative way.The function brings an additional capability to be able to generate these statistical measures on the entire dataset or at a group level. It calculates measures of central tendency (mean, median), distribution (count, proportion), dispersion (min, max, quantile, standard deviation, variance) and shape (skewness, kurtosis). Addition to these measures, it provides information on the data type, count on no. of rows, unique entries and percentage of missing entries. More importantly the measures are generated based on the data types as required by them,rather than applying numerical measures on character and data variables and vice versa. Output as a dataframe object gives a very neat representation, which often is useful when working with a large number of columns. It can easily be exported as csv and analyzed further or presented as a summary report for the data.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: datasets,zoo,moments
Suggests: knitr
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-10-01 18:05:07 UTC; sudo
Repository: CRAN
Date/Publication: 2018-10-12 13:10:03 UTC

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New package balance with initial version 0.1.6
Package: balance
Title: Visualize Balances of Compositional Data
Version: 0.1.6
URL: http://github.com/tpq/balance
BugReports: http://github.com/tpq/balance/issues
Authors@R: c( person("Thomas", "Quinn", email = "contacttomquinn@gmail.com", role = c("aut", "cre")) )
Description: Balances have become a cornerstone of compositional data analysis. However, conceptualizing balances is difficult, especially for high-dimensional data. Most often, investigators visualize balances with "balance dendrograms". However, this visualization tool does not scale well for large data. This package provides an alternative scheme for visualizing balances, described in [Quinn (2018) <DOI:10.12688/f1000research.15858.1>]. This package also provides a method for principal balance analysis.
License: GPL-2
LazyData: TRUE
VignetteBuilder: knitr
RoxygenNote: 6.1.0
Encoding: UTF-8
Imports: methods, ggplot2, grid
Depends: R (>= 3.2.2)
Suggests: ape, ggthemes, knitr, philr, propr, reshape2, rmarkdown, robCompositions, testthat
NeedsCompilation: no
Packaged: 2018-10-02 08:28:52 UTC; thom
Author: Thomas Quinn [aut, cre]
Maintainer: Thomas Quinn <contacttomquinn@gmail.com>
Repository: CRAN
Date/Publication: 2018-10-12 13:30:03 UTC

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New package AlphaSimR with initial version 0.8.1
Package: AlphaSimR
Type: Package
Title: Breeding Program Simulations
Version: 0.8.1
Date: 2018-10-01
Authors@R: c(person("Chris", "Gaynor", email = "gaynor.robert@hotmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0558-6656")), person("Gregor", "Gorjanc", role = "ctb", comment = c(ORCID = "0000-0001-8008-2787")), person("David", "Wilson", role = "ctb"), person("Daniel", "Money", role = "ctb"), person("John", "Hickey", role = "ctb", comment = c(ORCID = "0000-0001-5675-3974")))
Description: The successor to the 'AlphaSim' software for breeding program simulation (Faux et al., 2016, <doi:10.3835/plantgenome2016.02.0013>). Used for stochastic simulations of breeding programs to the level of DNA sequence for every individual. Contained is a wide range of functions for modeling common tasks in a breeding program, such as selection and crossing. These functions allow for constructing simulations of highly complex plant and animal breeding programs via scripting in the R software environment. Such simulations can be used to evaluate overall breeding program performance and conduct research into breeding program design, such as implementation of genomic selection. Included is the 'Markovian Coalescent Simulator' ('MaCS') for fast simulation of biallelic sequences according to a population demographic history (Chen et al., 2009, <doi:10.1101/gr.083634.108>).
License: MIT + file LICENSE
URL: https://alphagenes.roslin.ed.ac.uk/wp/software/alphasimr/, https://bitbucket.org/hickeyjohnteam/alphasimr
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0), methods, R6
Imports: Rcpp (>= 0.12.7)
LinkingTo: Rcpp, RcppArmadillo (>= 0.7.500.0.0), BH
RoxygenNote: 6.1.0
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-10-01 17:43:20 UTC; rgaynor
Author: Chris Gaynor [aut, cre] (<https://orcid.org/0000-0003-0558-6656>), Gregor Gorjanc [ctb] (<https://orcid.org/0000-0001-8008-2787>), David Wilson [ctb], Daniel Money [ctb], John Hickey [ctb] (<https://orcid.org/0000-0001-5675-3974>)
Maintainer: Chris Gaynor <gaynor.robert@hotmail.com>
Repository: CRAN
Date/Publication: 2018-10-12 13:10:06 UTC

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Package PxWebApiData updated to version 0.2.0 with previous version 0.1.0 dated 2018-06-06

Title: PX-Web Data by API
Description: Function to read PX-Web data into R via API. The example code reads data from the three national statistical institutes, Statistics Norway, Statistics Sweden and Statistics Finland.
Author: Øyvind Langsrud and Jan Bruusgaard
Maintainer: Øyvind Langsrud <oyl@ssb.no>

Diff between PxWebApiData versions 0.1.0 dated 2018-06-06 and 0.2.0 dated 2018-10-12

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Package binb updated to version 0.0.3 with previous version 0.0.2 dated 2018-09-27

Title: 'binb' is not 'Beamer'
Description: A collection of 'LaTeX' styles using 'Beamer' customization for pdf-based presentation slides in 'RMarkdown'. At present it contains 'RMarkdown' adaptations of the LaTeX themes 'Metropolis' (formerly 'mtheme') theme by Matthias Vogelgesang and others (now included in 'TeXLive'), the 'IQSS' by Ista Zahn (which is included here), and the 'Monash' theme by Rob J Hyndman. Additional (free) fonts may be needed: 'Metropolis' prefers 'Fira', and 'IQSS' requires 'Libertinus'.
Author: Dirk Eddelbuettel, Ista Zahn and Rob Hyndman
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package mMPA updated to version 1.2.0 with previous version 0.1.0 dated 2017-03-22

Title: Implementation of Marker-Assisted Mini-Pooling with Algorithm
Description: To determine the number of quantitative assays needed for a sample of data using pooled testing methods, which include mini-pooling (MP), MP with algorithm (MPA), and marker-assisted MPA (mMPA). To estimate the number of assays needed, the package also provides a tool to conduct Monte Carlo (MC) to simulate different orders in which the sample would be collected to form pools. Using MC avoids the dependence of the estimated number of assays on any specific ordering of the samples to form pools.
Author: "Tao Liu, PhD <tliu@stat.brown.edu> [aut, cre]" "Yizhen Xu, ScM <yizhen_xu@brown.edu> [aut]"
Maintainer: "Tao Liu, PhD" <tliu@stat.brown.edu>

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Package mrfDepth updated to version 1.0.10 with previous version 1.0.9 dated 2018-09-26

Title: Depth Measures in Multivariate, Regression and Functional Settings
Description: Tools to compute depth measures and implementations of related tasks such as outlier detection, data exploration and classification of multivariate, regression and functional data.
Author: Pieter Segaert [aut], Mia Hubert [aut], Peter Rousseeuw [aut], Jakob Raymaekers [aut, cre], Kaveh Vakili [ctb]
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>

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Package komaletter updated to version 0.3.0 with previous version 0.2.0 dated 2018-04-13

Title: Simple yet Flexible Letters via the 'KOMA-Script LaTeX Bundle'
Description: An R Markdown template for writing beautiful yet versatile letters, using the 'KOMA-Script' letter class 'scrlttr2' and an adaptation of the 'pandoc-letter' template. 'scrlttr2' provides layouts for many different window envelope types and the possibility to define your own.
Author: Robert Nuske [aut, cre] (<https://orcid.org/0000-0001-9773-2061>), Dirk Eddelbuettel [aut], Aaron Wolen [aut]
Maintainer: Robert Nuske <robert.nuske@mailbox.org>

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Package ExPanDaR updated to version 0.3.0 with previous version 0.2.0 dated 2018-05-11

Title: Explore Panel Data Interactively
Description: Provides a shiny-based front end (the 'ExPanD' app) and a set of functions for exploratory panel data analysis. Run as a web-based app, 'ExPanD' enables users to assess the robustness of empirical evidence without providing them access to the underlying data. You can also use the functions of the package to support your exploratory data analysis workflow. Refer to the vignettes of the package for more information on how to use 'ExPanD' and/or the functions of this package.
Author: Joachim Gassen [aut, cre] (<https://orcid.org/0000-0003-4364-2911>)
Maintainer: Joachim Gassen <gassen@wiwi.hu-berlin.de>

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Package trackeR updated to version 1.2.0 with previous version 1.1 dated 2018-09-24

Title: Infrastructure for Running, Cycling and Swimming Data from GPS-Enabled Tracking Devices
Description: Provides infrastructure for handling running, cycling and swimming data from GPS-enabled tracking devices within R. The package provides methods to extract, clean and organise workout and competition data into session-based and unit-aware data objects of class 'trackeRdata' (S3 class). The information can then be visualised, summarised, and analysed through flexible and extensible methods. Frick and Kosmidis (2017) <doi: 10.18637/jss.v082.i07>, which is updated and maintained as one of the vignettes, provides detailed descriptions of the package and its methods, and real-data demonstrations of the package functionality.
Author: Ioannis Kosmidis [aut, cre] (<https://orcid.org/0000-0003-1556-0302>), Hannah Frick [aut] (<https://orcid.org/0000-0002-6049-5258>), Robin Hornak [aut]
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>

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Package bamlss updated to version 1.0-1 with previous version 1.0-0 dated 2018-04-13

Title: Bayesian Additive Models for Location Scale and Shape (and Beyond)
Description: Infrastructure for estimating probabilistic distributional regression models in a Bayesian framework. The distribution parameters may capture location, scale, shape, etc. and every parameter may depend on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model. The conceptual and computational framework is introduced in Umlauf, Klein, Zeileis (2017) <doi:10.1080/10618600.2017.1407325>.
Author: Nikolaus Umlauf [aut, cre], Nadja Klein [aut], Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>), Meike Koehler [aut], Thorsten Simon [ctb], Stanislaus Stadlmann [ctb]
Maintainer: Nikolaus Umlauf <Nikolaus.Umlauf@uibk.ac.at>

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Package ddsPLS updated to version 1.0.1 with previous version 1.0.0 dated 2018-09-19

Title: Multi-Data-Driven Sparse PLS Robust to Missing Samples
Description: Allows to build Multi-Data-Driven Sparse PLS models. Multi-blocks with high-dimensional settings are particularly sensible to this.
Author: Hadrien Lorenzo [aut, cre]
Maintainer: Hadrien Lorenzo <hadrien.lorenzo.2015@gmail.com>

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Package survey updated to version 3.34 with previous version 3.33-2 dated 2018-03-12

Title: Analysis of Complex Survey Samples
Description: Summary statistics, two-sample tests, rank tests, generalised linear models, cumulative link models, Cox models, loglinear models, and general maximum pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights. Post-stratification, calibration, and raking. Two-phase subsampling designs. Graphics. PPS sampling without replacement. Principal components, factor analysis.
Author: Thomas Lumley
Maintainer: "Thomas Lumley" <t.lumley@auckland.ac.nz>

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 inst/CITATION       |    6 
 inst/NEWS           |   30 +++
 inst/doc/domain.pdf |binary
 inst/doc/epi.pdf    |binary
 inst/doc/phase1.pdf |binary
 inst/doc/pps.pdf    |binary
 inst/doc/survey.pdf |binary
 man/nhanes.Rd       |    2 
 man/svycontrast.Rd  |    6 
 man/svycoxph.Rd     |    3 
 man/svyglm.Rd       |   13 +
 man/svyhist.Rd      |   10 +
 man/svymle.Rd       |   55 ++++--
 33 files changed, 353 insertions(+), 391 deletions(-)

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Package SQRL updated to version 0.5.0 with previous version 0.4.0 dated 2018-06-03

Title: Database Query Interfaces
Description: Facilitates interaction with 'ODBC' data sources.
Author: Mike Lee
Maintainer: Mike Lee <random.deviate@gmail.com>

Diff between SQRL versions 0.4.0 dated 2018-06-03 and 0.5.0 dated 2018-10-12

 DESCRIPTION         |   10 +++----
 MD5                 |   14 +++++-----
 R/SQRL.R            |   68 +++++++++++++++++++++++++++++++++++++---------------
 build/partial.rdb   |binary
 man/SQRL-package.Rd |   32 +++++++++++++-----------
 man/sqrlParams.Rd   |    1 
 man/sqrlSources.Rd  |   10 ++-----
 man/sqrlUsage.Rd    |    8 ++++--
 8 files changed, 89 insertions(+), 54 deletions(-)

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Package bayesTFR updated to version 6.2-0 with previous version 6.1-2 dated 2018-01-19

Title: Bayesian Fertility Projection
Description: Making probabilistic projections of total fertility rate for all countries of the world, using a Bayesian hierarchical model.
Author: Hana Sevcikova (hanas@uw.edu), Leontine Alkema (alkema@nus.edu.sg), Adrian Raftery (raftery@uw.edu), Bailey Fosdick (bfosdick@uw.edu), Patrick Gerland (gerland@un.org)
Maintainer: Hana Sevcikova <hanas@uw.edu>

Diff between bayesTFR versions 6.1-2 dated 2018-01-19 and 6.2-0 dated 2018-10-12

 ChangeLog               |   10 ++++++
 DESCRIPTION             |    8 ++---
 MD5                     |   18 +++++------
 R/get_outputs.R         |   19 +++++++-----
 R/mcmc_ini.R            |   67 +++++++++++++++++++++-----------------------
 R/plot_functions.R      |    5 +--
 R/predict_tfr.R         |    2 -
 R/predict_tfr_subnat.R  |   73 +++++++++++++++++++++++++++---------------------
 man/bayesTFR-package.Rd |    4 +-
 tests/test_functions.R  |   16 ++++++++++
 10 files changed, 131 insertions(+), 91 deletions(-)

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