Sun, 09 Jul 2017

Package AutoDeskR updated to version 0.1.3 with previous version 0.1.2 dated 2017-02-18

Title: An Interface to the 'AutoDesk' 'API' Platform
Description: An interface to the 'AutoDesk' 'API' Platform including the Authentication 'API' for obtaining authentication to the 'AutoDesk' Forge Platform, Data Management 'API' for managing data across the platform's cloud services, Design Automation 'API' for performing automated tasks on design files in the cloud, Model Derivative 'API' for translating design files into different formats, sending them to the viewer app, and extracting design data, and Viewer for rendering 2D and 3D models (see <https://developer.autodesk.com> for more information).
Author: Paul Govan [aut, cre]
Maintainer: Paul Govan <pgovan1@aggienetwork.com>

Diff between AutoDeskR versions 0.1.2 dated 2017-02-18 and 0.1.3 dated 2017-07-09

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Package markovchain updated to version 0.6.9.6 with previous version 0.6.9.3 dated 2017-05-19

Title: Easy Handling Discrete Time Markov Chains
Description: Functions and S4 methods to create and manage discrete time Markov chains more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of their structural proprieties) analysis are provided.
Author: Giorgio Alfredo Spedicato [aut,cre], Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [ctb], Deepak Yadav [ctb], Nacho Cordón Castillo [ctb], Vandit Jain [ctb]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

Diff between markovchain versions 0.6.9.3 dated 2017-05-19 and 0.6.9.6 dated 2017-07-09

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 NAMESPACE                                            |   11 
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More information about markovchain at CRAN
Permanent link

New package fDMA with initial version 1.0
Package: fDMA
Type: Package
Title: Dynamic Model Averaging and Dynamic Model Selection for Continuous Outcomes
Version: 1.0
Imports: doParallel, forecast, foreach, gplots, graphics, grDevices, iterators, MSwM, parallel, png, stats, utils, xts, zoo
Date: 2017-07-09
Authors@R: person("Krzysztof", "Drachal", role = c("aut","cre"), email="kdrachal@wne.uw.edu.pl", comment = "Faculty of Economic Sciences, University of Warsaw, Poland")
Author: Krzysztof Drachal [aut, cre] (Faculty of Economic Sciences, University of Warsaw, Poland)
Maintainer: Krzysztof Drachal <kdrachal@wne.uw.edu.pl>
Description: It allows to estimate Dynamic Model Averaging, Dynamic Model Selection and Median Probability Model. The original methods (see References) are implemented, as well as, selected further modifications of these methods. In particular the User might choose between recursive moment estimation and exponentially moving average for variance updating. Inclusion probabilities might be modified in a way using Google Trends. The code is written in a way which minimises the computational burden (which is quite an obstacle for Dynamic Model Averaging if many variables are used). For example, this package allows for parallel computations under Windows machines. Additionally, the User might reduce a set of models according to a certain algorithm. The package is designed in a way that is hoped to be especially useful in economics and finance. (Research funded by the Polish National Science Centre grant under the contract number DEC-2015/19/N/HS4/00205.)
License: GPL-3
LazyData: TRUE
NeedsCompilation: no
Packaged: 2017-07-09 20:37:26 UTC; Krzysiek
Repository: CRAN
Date/Publication: 2017-07-09 22:50:39 UTC

More information about fDMA at CRAN
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Package fcm updated to version 0.1.3 with previous version 0.1.2 dated 2017-07-04

Title: Inference of Fuzzy Cognitive Maps (FCMs)
Description: Provides a selection of 3 different inference rules (including additionally the clamped types of the referred inference rules) and 4 threshold functions in order to obtain the inference of the FCM (Fuzzy Cognitive Map). Moreover, the 'fcm' package returns a data frame of the concepts' values of each state after the inference procedure. Fuzzy cognitive maps were introduced by Kosko (1986) <doi:10.1002/int.4550010405> providing ideal causal cognition tools for modeling and simulating dynamic systems.
Author: Zoumpoulia Dikopoulou <dikopoulia@gmail.com> <zoumpolia.dikopoulou@uhasselt.be>, Elpiniki Papageorgiou <epapageorgiou@teiste.gr>, <e.i.papageorgiou75@gmail.com>
Maintainer: Zoumpoulia Dikopoulou <dikopoulia@gmail.com>

Diff between fcm versions 0.1.2 dated 2017-07-04 and 0.1.3 dated 2017-07-09

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Package remotes updated to version 1.1.0 with previous version 1.0.0 dated 2016-09-09

Title: R Package Installation from Remote Repositories, Including 'GitHub'
Description: Download and install R packages stored in 'GitHub', 'BitBucket', or plain 'subversion' or 'git' repositories. This package is a lightweight replacement of the 'install_*' functions in 'devtools'. Indeed most of the code was copied over from 'devtools'.
Author: Gábor Csárdi [aut, cre], Hadley Wickham [aut], Winston Chang [aut], Jim Hester [aut], RStudio [cph], Martin Morgan [aut], Dan Tenenbaum [aut], Mango Solutions [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between remotes versions 1.0.0 dated 2016-09-09 and 1.1.0 dated 2017-07-09

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Package windfarmGA updated to version 1.1 with previous version 1.0 dated 2017-06-24

Title: Genetic Algorithm for Wind Farm Layout Optimization
Description: The genetic algorithm is designed to optimize small wind farms consisting of up to 50 turbines. The algorithm works with a fixed amount of turbines, a fixed rotor radius and a mean wind speed value for every incoming wind direction. If required, it can include a terrain effect model which downloads an 'SRTM' elevation model automatically and loads a Corine Land Cover raster, which has to be downloaded previously. Further information can be found in the description of the function 'windfarmGA'. To start an optimization run, either the function 'windfarmGA' or 'genAlgo' can be used. The function 'windfarmGA' checks the user inputs interactively and then runs the function 'genAlgo'. If the input parameters are already known, an optimization can be run directly via the function 'genAlgo'. Their output is identical.
Author: Sebastian Gatscha
Maintainer: Sebastian Gatscha <sebastian_gatscha@gmx.at>

Diff between windfarmGA versions 1.0 dated 2017-06-24 and 1.1 dated 2017-07-09

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More information about windfarmGA at CRAN
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Package QuasiSeq updated to version 1.0-10-1 with previous version 1.0-8 dated 2015-05-15

Title: Analyzing RNA Sequencing Count Tables Using Quasi-Likelihood
Description: Identify differentially expressed genes in RNA-seq count data using quasi-Poisson or quasi-negative binomial models with 'QL', 'QLShrink' and 'QLSpline' methods described by Lund, Nettleton, McCarthy, and Smyth (2012) <DOI:10.1515/1544-6115.1826>. Report bias-reduced estimates of log fold changes.
Author: Steve Lund [aut], Long Qu [aut, cre, ctb], Klirk Bhasavanich [aut], Ian Marschner [aut] (The author of glm2::glm.fit2, which was modified slightly leading to glm.fit3 in this package.), R Core Team [aut] (The author of stats::glm.fit, which was modified slightly leading to glm.fit3 in this package.)
Maintainer: Long Qu <rtistician@gmail.com>

Diff between QuasiSeq versions 1.0-8 dated 2015-05-15 and 1.0-10-1 dated 2017-07-09

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More information about QuasiSeq at CRAN
Permanent link

New package passport with initial version 0.1.1
Package: passport
Type: Package
Title: Travel Smoothly Between Country Name and Code Formats
Version: 0.1.1
Authors@R: person("Edward", "Visel", email = "edward.visel@gmail.com", role = c("aut", "cre"))
Description: Smooths the process of working with country names and codes via powerful parsing, standardization, and conversion utilities arranged in a simple, consistent API. Country name formats include multiple sources including the Unicode Common Locale Data Repository (CLDR, <http://cldr.unicode.org/>) common-sense standardized names in hundreds of languages.
Depends: R (>= 3.1.0)
Imports: stats, utils
Suggests: jsonlite, DT, ggplot2, tidyverse, gapminder, testthat, mockr, covr, knitr, rmarkdown
License: GPL-3 | file LICENSE
URL: https://github.com/alistaire47/passport, https://alistaire47.github.io/passport/
BugReports: https://github.com/alistaire47/passport/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-07-09 15:22:50 UTC; alistaire
Author: Edward Visel [aut, cre]
Maintainer: Edward Visel <edward.visel@gmail.com>
Repository: CRAN
Date/Publication: 2017-07-09 17:14:25 UTC

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New package grec with initial version 1.0.0
Package: grec
Type: Package
Title: Classification of Spatial Patterns from Environmental Data Through GRadient RECognition
Version: 1.0.0
Date: 2017-06-30
URL: https://github.com/LuisLauM/grec
BugReports: https://github.com/LuisLauM/grec/issues
Authors@R: c(person("Wencheng", "Lau-Medrano", role = c("aut", "cre"), email = "luis.laum@gmail.com"))
Maintainer: Wencheng Lau-Medrano <luis.laum@gmail.com>
Description: Provides algorithms for detection of spatial patterns from oceanographic data using image processing methods based on Gradient Recognition.
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 3.2.0), imagine (>= 1.3.1)
Imports: utils
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-09 17:52:26 UTC; NvTomus InDemonic
Author: Wencheng Lau-Medrano [aut, cre]
Repository: CRAN
Date/Publication: 2017-07-09 19:56:36 UTC

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Package dnet updated to version 1.1.1 with previous version 1.0.10 dated 2017-01-27

Title: Integrative Analysis of Omics Data in Terms of Network, Evolution and Ontology
Description: The focus of the dnet is to make sense of omics data (such as gene expression and mutations) from different angles including: integration with molecular networks, enrichments using ontologies, and relevance to gene evolutionary ages. Integration is achieved to identify a gene subnetwork from the whole gene network whose nodes/genes are labelled with informative data (such as the significant levels of differential expression or survival risks). To help make sense of identified gene networks, enrichment analysis is also supported using a wide variety of pre-compiled ontologies and phylostratific gene age information in major organisms including: human, mouse, rat, chicken, C.elegans, fruit fly, zebrafish and arabidopsis. Add-on functionalities are supports for calculating semantic similarity between ontology terms (and between genes) and for calculating network affinity based on random walk; both can be done via high-performance parallel computing.
Author: Hai Fang and Julian Gough
Maintainer: Hai Fang <hfang@well.ox.ac.uk>

Diff between dnet versions 1.0.10 dated 2017-01-27 and 1.1.1 dated 2017-07-09

 DESCRIPTION                           |   12 +--
 MD5                                   |  110 +++++++++++++++++-----------------
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Package binequality updated to version 1.0.2 with previous version 1.0.1 dated 2016-12-16

Title: Methods for Analyzing Binned Income Data
Description: Methods for model selection, model averaging, and calculating metrics, such as the Gini, Theil, Mean Log Deviation, etc, on binned income data where the topmost bin is right-censored. We provide both a non-parametric method, termed the bounded midpoint estimator (BME), which assigns cases to their bin midpoints; except for the censored bins, where cases are assigned to an income estimated by fitting a Pareto distribution. Because the usual Pareto estimate can be inaccurate or undefined, especially in small samples, we implement a bounded Pareto estimate that yields much better results. We also provide a parametric approach, which fits distributions from the generalized beta (GB) family. Because some GB distributions can have poor fit or undefined estimates, we fit 10 GB-family distributions and use multimodel inference to obtain definite estimates from the best-fitting distributions. We also provide binned income data from all United States of America school districts, counties, and states.
Author: Samuel V. Scarpino, Paul von Hippel, and Igor Holas
Maintainer: Samuel V. Scarpino <scarpino@utexas.edu>

Diff between binequality versions 1.0.1 dated 2016-12-16 and 1.0.2 dated 2017-07-09

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 data/school_district_bins.rda |binary
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Package micemd updated to version 1.1.0 with previous version 1.0.0 dated 2017-05-12

Title: Multiple Imputation by Chained Equations with Multilevel Data
Description: Addons for the 'mice' package to perform multiple imputation using chained equations with two-level data. Includes imputation methods specifically handling sporadically and systematically missing values. Imputation of continuous, binary or count variables are available. Following the recommendations of Audigier, V. et al (2017), the choice of the imputation method for each variable can be facilitated by a default choice tuned according to the structure of the incomplete dataset. Allows parallel calculation for 'mice'.
Author: Vincent Audigier [aut, cre] (INSERM ECSTRA team), Matthieu Resche-Rigon [aut] (INSERM ECSTRA team)
Maintainer: Vincent Audigier <vincent.audigier@univ-paris-diderot.fr>

Diff between micemd versions 1.0.0 dated 2017-05-12 and 1.1.0 dated 2017-07-09

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Package funModeling updated to version 1.6.5 with previous version 1.6.4 dated 2017-06-17

Title: Exploratory Data Analysis and Data Preparation Tool-Box Book
Description: Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book (<http://livebook.datascienceheroes.com/>) are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.
Author: Pablo Casas
Maintainer: Pablo Casas <pcasas.biz@gmail.com>

Diff between funModeling versions 1.6.4 dated 2017-06-17 and 1.6.5 dated 2017-07-09

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Package frailtypack updated to version 2.12.2 with previous version 2.12.1 dated 2017-06-16

Title: General Frailty Models: Shared, Joint and Nested Frailty Models with Prediction
Description: The following several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation can be fit using this R package: 1) A shared frailty model (with gamma or log-normal frailty distribution) and Cox proportional hazard model. Clustered and recurrent survival times can be studied. 2) Additive frailty models for proportional hazard models with two correlated random effects (intercept random effect with random slope). 3) Nested frailty models for hierarchically clustered data (with 2 levels of clustering) by including two iid gamma random effects. 4) Joint frailty models in the context of the joint modelling for recurrent events with terminal event for clustered data or not. A joint frailty model for two semi-competing risks and clustered data is also proposed. 5) Joint general frailty models in the context of the joint modelling for recurrent events with terminal event data with two independent frailty terms. 6) Joint Nested frailty models in the context of the joint modelling for recurrent events with terminal event, for hierarchically clustered data (with two levels of clustering) by including two iid gamma random effects. 7) Multivariate joint frailty models for two types of recurrent events and a terminal event. 8) Joint models for longitudinal data and a terminal event. 9) Trivariate joint models for longitudinal data, recurrent events and a terminal event. Prediction values are available (for a terminal event or for a new recurrent event). Left-truncated (not for Joint model), right-censored data, interval-censored data (only for Cox proportional hazard and shared frailty model) and strata are allowed. In each model, the random effects have the gamma or normal distribution. Now, you can also consider time-varying covariates effects in Cox, shared and joint frailty models (1-5). The package includes concordance measures for Cox proportional hazards models and for shared frailty models.
Author: Virginie Rondeau, Juan R. Gonzalez, Yassin Mazroui, Audrey Mauguen, Agnieszka Krol, Amadou Diakite, Alexandre Laurent and Myriam Lopez
Maintainer: Virginie Rondeau <Virginie.Rondeau@isped.u-bordeaux2.fr>

Diff between frailtypack versions 2.12.1 dated 2017-06-16 and 2.12.2 dated 2017-07-09

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Package rddensity updated to version 0.2.1 with previous version 0.2 dated 2017-06-04

Title: Manipulation Testing Based on Density Discontinuity
Description: Density discontinuity test (a.k.a. manipulation test) is commonly employed in regression discontinuity designs and other treatment effect settings to detect whether there is evidence suggesting perfect self-selection (manipulation) around a cutoff where a treatment/policy assignment changes. This package provides tools for conducting the aforementioned statistical test: rddensity() to construct local polynomial based density discontinuity test given a prespecified cutoff, rdbwdensity() to perform bandwidth selection, and rdplotdensity() to construct density plot near the cutoff.
Author: Matias D. Cattaneo, Michael Jansson, Xinwei Ma
Maintainer: Xinwei Ma <xinweima@umich.edu>

Diff between rddensity versions 0.2 dated 2017-06-04 and 0.2.1 dated 2017-07-09

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Package lpdensity updated to version 0.2.2 with previous version 0.2.1 dated 2017-06-03

Title: Local Polynomial Density Estimation and Inference
Description: Without imposing stringent distributional assumptions or shape restrictions, nonparametric density estimation has been popular in economics and other social sciences for counterfactual analysis, program evaluation, and policy recommendations. This package implements a novel density estimator based on local polynomial regression, documented in Cattaneo, Jansson and Ma (2017a): lpdensity() to construct local polynomial based density (and derivatives) estimator; lpbwdensity() to perform data-driven bandwidth selection; and lpdensity.plot() for density plot with robust confidence interval.
Author: Matias D. Cattaneo, Michael Jansson, Xinwei Ma
Maintainer: Xinwei Ma <xinweima@umich.edu>

Diff between lpdensity versions 0.2.1 dated 2017-06-03 and 0.2.2 dated 2017-07-09

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 R/lpdensity.plot.R       |    6 +++---
 man/lpbwdensity.Rd       |    8 ++++----
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 10 files changed, 38 insertions(+), 38 deletions(-)

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Package gmnl updated to version 1.1-3 with previous version 1.1-1 dated 2015-11-07

Title: Multinomial Logit Models with Random Parameters
Description: An implementation of maximum simulated likelihood method for the estimation of multinomial logit models with random coefficients. Specifically, it allows estimating models with continuous heterogeneity such as the mixed multinomial logit and the generalized multinomial logit. It also allows estimating models with discrete heterogeneity such as the latent class and the mixed-mixed multinomial logit model.
Author: Mauricio Sarrias [aut, cre], Ricardo Daziano [aut], Yves Croissant [ctb]
Maintainer: Mauricio Sarrias <msarrias86@gmail.com>

Diff between gmnl versions 1.1-1 dated 2015-11-07 and 1.1-3 dated 2017-07-09

 DESCRIPTION      |    8 +-
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New package fastLink with initial version 0.1.0
Package: fastLink
Type: Package
Title: Fast Probabilistic Record Linkage with Missing Data
Version: 0.1.0
Date: 2017-07-08
Authors@R: c( person("Ted", "Enamorado", email = "fastlinkr@gmail.com", role = c("aut", "cre")), person("Ben", "Fifield", email = "fastlinkr@gmail.com", role = c("aut")), person("Kosuke", "Imai", email = "kimai@Princeton.edu", role = c("aut")) )
Description: Implements a Fellegi-Sunter probabilistic record linkage model that allows for missing data and the inclusion of auxiliary information. This includes functionalities to conduct a merge of two datasets under the Fellegi-Sunter model using the Expectation-Maximization algorithm. In addition, tools for preparing, adjusting, and summarizing data merges are included. The package implements methods described in Enamorado, Fifield, and Imai (2017) ''Using a Probabilistic Model to Assist Merging of Large-scale Administrative Records'', available at <http://imai.princeton.edu/research/linkage.html>.
License: GPL (>= 3)
Imports: Matrix, parallel, foreach, doParallel, gtools, data.table, stringdist, stringr, Rcpp (>= 0.12.9), Hmisc, FactoClass, adagio, dplyr
Depends: R (>= 3.1.0)
LinkingTo: RcppArmadillo, Rcpp, RcppEigen
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/kosukeimai/fastLink/issues
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2017-07-09 13:17:11 UTC; benfifield
Author: Ted Enamorado [aut, cre], Ben Fifield [aut], Kosuke Imai [aut]
Maintainer: Ted Enamorado <fastlinkr@gmail.com>
Repository: CRAN
Date/Publication: 2017-07-09 14:24:16 UTC

More information about fastLink at CRAN
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Package dtwclust updated to version 4.0.2 with previous version 4.0.1 dated 2017-06-08

Title: Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance
Description: Time series clustering along with optimized techniques related to the Dynamic Time Warping distance and its corresponding lower bounds. Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole clustering are available. Functionality can be easily extended with custom distance measures and centroid definitions. Implementations of DTW barycenter averaging and a distance based on global alignment kernels are also provided. Several cluster validity indices are included.
Author: Alexis Sarda-Espinosa
Maintainer: Alexis Sarda <alexis.sarda@gmail.com>

Diff between dtwclust versions 4.0.1 dated 2017-06-08 and 4.0.2 dated 2017-07-09

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 dtwclust-4.0.2/dtwclust/tests/testthat/system/preproc.R              |  174 -
 dtwclust-4.0.2/dtwclust/tests/testthat/test-01-unit.R                |    2 
 dtwclust-4.0.2/dtwclust/tests/testthat/test-03-acceptance.R          |   11 
 dtwclust-4.0.2/dtwclust/tests/testthat/test-04-system.R              |   18 
 dtwclust-4.0.2/dtwclust/tests/testthat/test-05-regression.R          |    2 
 dtwclust-4.0.2/dtwclust/tests/testthat/test-06-parallel.R            |    2 
 dtwclust-4.0.2/dtwclust/tests/testthat/unit/centroids.R              |  250 -
 dtwclust-4.0.2/dtwclust/tests/testthat/unit/configs.R                |  291 -
 dtwclust-4.0.2/dtwclust/tests/testthat/unit/cvis.R                   |   14 
 dtwclust-4.0.2/dtwclust/tests/testthat/unit/distances.R              |   79 
 dtwclust-4.0.2/dtwclust/tests/testthat/unit/methods.R                |  274 +
 dtwclust-4.0.2/dtwclust/vignettes/REFERENCES.bib                     |  768 ++--
 dtwclust-4.0.2/dtwclust/vignettes/dtwclust.Rnw                       |   21 
 119 files changed, 7241 insertions(+), 6995 deletions(-)

More information about dtwclust at CRAN
Permanent link

New package datastructures with initial version 0.1.0
Package: datastructures
Type: Package
Title: Implementation of Core Data Structures
Version: 0.1.0
Date: 2017-07-08
Authors@R: person("Simon", "Dirmeier", email = "simon.dirmeier@gmx.de", role = c("aut", "cre"))
Maintainer: Simon Dirmeier <simon.dirmeier@gmx.de>
Description: Implementation of advanced data structures such as hashmaps, heaps, or queues. Advanced data structures are essential in many computer science and statistics problems, for example graph algorithms or string analysis. The package uses 'Boost' and 'STL' data types and extends these to R with 'Rcpp' modules.
URL: https://github.com/dirmeier/datastructures
BugReports: https://github.com/dirmeier/datastructures/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.4)
Suggests: testthat, knitr, rmarkdown, lintr
VignetteBuilder: knitr
RoxygenNote: 6.0.1
SystemRequirements: C++11
LinkingTo: Rcpp, BH
Imports: Rcpp, methods
NeedsCompilation: yes
Collate: 'checks.R' 'datastructures-package.R' 'ds_fibonacci_heap.R' 'ds_hashmap.R' 'ds_queue.R' 'ds_stack.R' 'methods_get.R' 'methods_head.R' 'methods_insert.R' 'methods_peek.R' 'methods_pop.R' 'methods_show.R' 'methods_size.R' 'zzz.R'
Packaged: 2017-07-09 12:30:56 UTC; simondi
Author: Simon Dirmeier [aut, cre]
Repository: CRAN
Date/Publication: 2017-07-09 14:24:52 UTC

More information about datastructures at CRAN
Permanent link

New package zonator with initial version 0.5.7
Package: zonator
Type: Package
Title: Utilities for Zonation Spatial Conservation Prioritization Software
Version: 0.5.7
Date: 2017-07-08
Authors@R: c( person("Joona" , "Lehtomaki", role = c("aut", "cre"), email = "joona.lehtomaki@gmail.com"))
License: FreeBSD
Encoding: UTF-8
Maintainer: Joona Lehtomaki <joona.lehtomaki@gmail.com>
Description: Create new analysis setups and deal with results of Zonation conservation prioritization software <https://github.com/cbig/zonation-core>. This package uses data available in the 'zdat' (7.7 MB) package for building the vignettes.
Imports: ggplot2 (>= 2.0.0), methods, RColorBrewer, raster, reshape2, rgdal
Depends: R (>= 2.15.2)
Suggests: knitr, rasterVis, rmarkdown, testthat, zdat (>= 0.1.0)
Additional_repositories: https://jlehtoma.github.io/drat
BugReports: https://github.com/cbig/zonator/issues
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-09 07:42:02 UTC; jlehtoma
Author: Joona Lehtomaki [aut, cre]
Repository: CRAN
Date/Publication: 2017-07-09 08:26:49 UTC

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New package decomposedPSF with initial version 0.1.3
Package: decomposedPSF
Type: Package
Title: Time Series Prediction with PSF and Decomposition Methods (EMD and EEMD)
Version: 0.1.3
Date: 2017-07-08
Author: Neeraj Bokde
Maintainer: Neeraj Bokde <neerajdhanraj@gmail.com>
URL: http://www.neerajbokde.com/
Description: Predict future values with hybrid combinations of Pattern Sequence based Forecasting (PSF), Autoregressive Integrated Moving Average (ARIMA), Empirical Mode Decomposition (EMD) and Ensemble Empirical Mode Decomposition (EEMD) methods based hybrid methods.
License: GPL
Imports: PSF, Rlibeemd, forecast, tseries
LazyData: TRUE
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-07-09 07:51:27 UTC; Neeraj
Repository: CRAN
Date/Publication: 2017-07-09 08:26:03 UTC

More information about decomposedPSF at CRAN
Permanent link

Package varComp updated to version 0.2-0 with previous version 0.1-360 dated 2015-02-06

Title: Variance Component Models
Description: Variance component models: REML estimation, testing fixed effect contrasts through Satterthwaite or Kenward-Roger methods, testing the nullity of variance components through (linear or quadratic) score tests or likelihood ratio tests.
Author: Long Qu
Maintainer: Long Qu <rtistician@gmail.com>

Diff between varComp versions 0.1-360 dated 2015-02-06 and 0.2-0 dated 2017-07-09

 DESCRIPTION                        |   14 
 INDEX                              |    6 
 MD5                                |  120 +--
 NAMESPACE                          |  155 ++--
 R/KR.varComp.R                     |  174 ++--
 R/anova.varComp.R                  |  180 ++--
 R/coef.varComp.R                   |   80 +-
 R/fixef.varComp.R                  |  200 ++---
 R/formulas.R                       |   64 -
 R/kernels.R                        |   84 +-
 R/logLik.varComp.R                 |   30 
 R/minque.R                         |   70 -
 R/model.matrix.varComp.R           |   34 
 R/p.value.R                        |   78 +-
 R/pchibarsq.R                      |  154 ++--
 R/print.varComp.R                  |   48 -
 R/print.varComp.test.R             |   12 
 R/satterth.R                       |  132 +--
 R/varComp-const.R                  |   22 
 R/varComp-defunct.R                |  256 +++---
 R/varComp-internal.R               |  374 ++++-----
 R/varComp-notImplemented.R         |   52 -
 R/varComp-utilities.R              |   58 -
 R/varComp.LinScore.Normal.R        |   68 -
 R/varComp.LinScore.SSAS155.R       |  106 +-
 R/varComp.LinScore.Satterthwaite.R |   70 -
 R/varComp.LinScore.test.R          |  202 ++---
 R/varComp.R                        | 1406 ++++++++++++++++++-------------------
 R/varComp.RLRT.test.R              |  108 +-
 R/varComp.SS95.test.R              |  110 +-
 R/varComp.VM03.test.R              |  248 +++---
 R/varComp.test.R                   |  830 ++++++++++-----------
 R/varComp.test.control.R           |  224 ++---
 R/vcov.varComp.R                   |  120 +--
 man/Wald.varComp.Rd                |  172 ++--
 man/anova.varComp.Rd               |  216 ++---
 man/chibarsq.Rd                    |  146 +--
 man/cholRoot.Rd                    |   78 +-
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 man/is.formula.Rd                  |   62 -
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 man/logLik.varComp.Rd              |   90 +-
 man/minque.Rd                      |  114 +--
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 man/normalizeTrace.Rd              |   72 -
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 man/symbols.Rd                     |   54 -
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 man/varComp-internal.Rd            |  270 +++----
 man/varComp-notImplemented.Rd      |   56 -
 man/varComp-package.Rd             |  140 +--
 man/varComp.Rd                     |  416 +++++-----
 man/varComp.control.Rd             |  194 ++---
 man/varComp.test.Rd                |  222 ++---
 man/varComp.test.control.Rd        |  202 ++---
 man/vcov.varComp.Rd                |  102 +-
 61 files changed, 4733 insertions(+), 4730 deletions(-)

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Package CRTgeeDR updated to version 2.0 with previous version 1.2 dated 2016-04-07

Title: Doubly Robust Inverse Probability Weighted Augmented GEE Estimator
Description: Implements a semi-parametric GEE estimator accounting for missing data with Inverse-probability weighting (IPW) and for imbalance in covariates with augmentation (AUG). The estimator IPW-AUG-GEE is Doubly robust (DR).
Author: Melanie Prague [aut, cre], Paul Gilbert [ctb] (Author of R package numDeriv, which has been acknowledged in numDeriv.R), Ravi Varadhan [ctb] (Author of R package numDeriv, which has been acknowledged in numDeriv.R), Ming Wang [ctb] (Author of R package geesmv, which has been acknowledged in getFay.R), Lee McDaniel [ctb] (Author of R package geeM, which has been modfied and references in multiple R files), Nick Henderson [ctb] (Author of R package geeM, which has been modfied and references in multiple R files)
Maintainer: Melanie Prague <mprague@hsph.harvard.edu>

Diff between CRTgeeDR versions 1.2 dated 2016-04-07 and 2.0 dated 2017-07-09

 DESCRIPTION       |   34 ++++--
 MD5               |    8 -
 R/CRTgeeDR-main.R |  270 +++++++++++++++++++++++++++---------------------------
 R/print.R         |   70 +++++++-------
 R/updatebeta.R    |    2 
 5 files changed, 195 insertions(+), 189 deletions(-)

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Package contfrac updated to version 1.1-11 with previous version 1.1-10 dated 2016-05-26

Title: Continued Fractions
Description: Various utilities for evaluating continued fractions.
Author: Robin K. S. Hankin
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between contfrac versions 1.1-10 dated 2016-05-26 and 1.1-11 dated 2017-07-09

 DESCRIPTION         |    6 +++---
 MD5                 |   11 ++++++-----
 NAMESPACE           |    3 ++-
 R/contfrac.R        |    8 ++++----
 man/convergents.Rd  |    4 ++++
 src/contfrac.c      |   11 ++++++-----
 src/contfrac_init.c |only
 7 files changed, 25 insertions(+), 18 deletions(-)

More information about contfrac at CRAN
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Package BIGDAWG (with last version 1.13) was removed from CRAN

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

2017-07-08 1.13
2016-08-30 1.5.5
2016-08-28 1.5.4
2016-05-14 1.4.0
2016-04-09 1.3.4
2016-02-29 1.2.8
2016-02-19 1.2.6
2015-11-10 1.2.1
2015-10-29 1.1.1
2015-06-13 1.1

Permanent link
Package sysfonts updated to version 0.6 with previous version 0.5 dated 2015-04-27

Title: Loading Fonts into R
Description: Loading system fonts and Google Fonts <https://fonts.google.com/> into R, in order to support other packages such as 'R2SWF' and 'showtext'.
Author: Yixuan Qiu and authors/contributors of the included fonts. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

Diff between sysfonts versions 0.5 dated 2015-04-27 and 0.6 dated 2017-07-09

 sysfonts-0.5/sysfonts/NEWS                                      |only
 sysfonts-0.6/sysfonts/DESCRIPTION                               |   20 
 sysfonts-0.6/sysfonts/MD5                                       |   58 +-
 sysfonts-0.6/sysfonts/R/font.R                                  |  266 ++++------
 sysfonts-0.6/sysfonts/R/google.R                                |  208 ++++---
 sysfonts-0.6/sysfonts/R/zzz.R                                   |   14 
 sysfonts-0.6/sysfonts/cleanup                                   |only
 sysfonts-0.6/sysfonts/inst/AUTHORS                              |    5 
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 sysfonts-0.6/sysfonts/inst/fonts/LiberationMono-Bold.ttf        |binary
 sysfonts-0.6/sysfonts/inst/fonts/LiberationMono-BoldItalic.ttf  |binary
 sysfonts-0.6/sysfonts/inst/fonts/LiberationMono-Italic.ttf      |binary
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 sysfonts-0.6/sysfonts/inst/fonts/LiberationSans-Bold.ttf        |binary
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 sysfonts-0.6/sysfonts/inst/fonts/LiberationSans-Italic.ttf      |binary
 sysfonts-0.6/sysfonts/inst/fonts/LiberationSans-Regular.ttf     |binary
 sysfonts-0.6/sysfonts/inst/fonts/LiberationSerif-Bold.ttf       |binary
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 sysfonts-0.6/sysfonts/inst/fonts/LiberationSerif-Italic.ttf     |binary
 sysfonts-0.6/sysfonts/inst/fonts/LiberationSerif-Regular.ttf    |binary
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 sysfonts-0.6/sysfonts/man/font.add.Rd                           |   39 -
 sysfonts-0.6/sysfonts/man/font.add.google.Rd                    |   57 +-
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 sysfonts-0.6/sysfonts/man/font.files.Rd                         |   16 
 sysfonts-0.6/sysfonts/man/font.paths.Rd                         |   18 
 sysfonts-0.6/sysfonts/src/register_routines.c                   |only
 sysfonts-0.6/sysfonts/src/sysfonts-win.def                      |    4 
 sysfonts-0.6/sysfonts/src/sysfonts.c                            |   26 
 sysfonts-0.6/sysfonts/src/sysfonts.h                            |    6 
 32 files changed, 387 insertions(+), 390 deletions(-)

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New package RcppTN with initial version 0.2-1
Package: RcppTN
Type: Package
Title: Rcpp-Based Truncated Normal Distribution RNG and Family
Version: 0.2-1
Date: 2017-07-02
Authors@R: c(person("Jonathan", "Olmsted", role = c("aut", "cre"), email = "jpolmsted@gmail.com"))
Author: Jonathan Olmsted [aut, cre]
Maintainer: Jonathan Olmsted <jpolmsted@gmail.com>
Description: R-level and C++-level functionality to generate random deviates from and calculate moments of a Truncated Normal distribution using the algorithm of Robert (1995) <DOI:10.1007/BF00143942>. In addition to RNG, functions for calculating moments, densities, and entropies are provided at both levels.
URL: http://github.com/olmjo/RcppTN
BugReports: http://github.com/olmjo/RcppTN/issues
License: GPL (>= 2)
Depends:
Suggests: knitr (>= 1.1), ggplot2, msm, truncnorm, testthat, microbenchmark
LinkingTo: Rcpp
Imports: Rcpp
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-07-03 16:58:24 UTC; olmjo
Repository: CRAN
Date/Publication: 2017-07-09 06:18:15 UTC

More information about RcppTN at CRAN
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Package protr updated to version 1.4-1 with previous version 1.4-0 dated 2017-06-06

Title: Generating Various Numerical Representation Schemes for Protein Sequences
Description: Comprehensive toolkit for generating various numerical features of protein sequences described in Xiao et al. (2015) <DOI:10.1093/bioinformatics/btv042>. For full functionality, the software 'ncbi-blast+' is needed, see <https://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE_TYPE=BlastDocs&DOC_TYPE=Download> for more information.
Author: Nan Xiao [aut, cre], Qing-Song Xu [aut], Dong-Sheng Cao [aut]
Maintainer: Nan Xiao <me@nanx.me>

Diff between protr versions 1.4-0 dated 2017-06-06 and 1.4-1 dated 2017-07-09

 protr-1.4-0/protr/vignettes/tables               |only
 protr-1.4-1/protr/DESCRIPTION                    |    6 
 protr-1.4-1/protr/MD5                            |   22 -
 protr-1.4-1/protr/NEWS.md                        |   61 +-
 protr-1.4-1/protr/README.md                      |    2 
 protr-1.4-1/protr/build/vignette.rds             |binary
 protr-1.4-1/protr/inst/doc/protr.Rmd             |  103 ++++
 protr-1.4-1/protr/inst/doc/protr.html            |  475 +++++++++++++++++++++--
 protr-1.4-1/protr/vignettes/figures/protrweb.png |binary
 protr-1.4-1/protr/vignettes/protr.Rmd            |  103 ++++
 10 files changed, 679 insertions(+), 93 deletions(-)

More information about protr at CRAN
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Package postlightmercury updated to version 1.2 with previous version 1.1 dated 2017-07-08

Title: Parses Web Pages using Postlight Mercury
Description: This is a wrapper for the Mercury Parser API. The Mercury Parser is a single API endpoint that takes a URL and gives you back the content reliably and easily. With just one API request, Mercury takes any web article and returns only the relevant content — headline, author, body text, relevant images and more — free from any clutter. It’s reliable, easy-to-use and free. See the webpage here: <https://mercury.postlight.com/>.
Author: Mikkel Freltoft Krogsholm
Maintainer: Mikkel Freltoft Krogsholm <mikkel@56n.dk>

Diff between postlightmercury versions 1.1 dated 2017-07-08 and 1.2 dated 2017-07-09

 DESCRIPTION                   |    8 +++---
 MD5                           |   13 +++++----
 NAMESPACE                     |    1 
 NEWS.md                       |    2 +
 R/mercury.R                   |   55 +++++++++++++++++++++++++++++++++++++++---
 man/remove_html.Rd            |only
 man/web_parser.Rd             |    5 +--
 tests/testthat/test_mercury.R |   11 +++++++-
 8 files changed, 78 insertions(+), 17 deletions(-)

More information about postlightmercury at CRAN
Permanent link

Package pi0 updated to version 1.4-1 with previous version 1.4-0 dated 2015-07-06

Title: Estimating the Proportion of True Null Hypotheses for FDR
Description: Methods for estimating the proportion of true null hypotheses, i.e., the pi0, when a very large number of hypotheses are simultaneously tested, especially for the purpose of (local) false discovery rate control for microarray data. It also contains functions to estimate the distribution of noncentrality parameters from a large number of parametric tests.
Author: Long Qu [aut, cre, ctb], Kun Liang [ctb], Yudi Pawitan [aut] (The author(s) of OCplus::tMixture, which was modified slightly leading to discTMix in this package.), Alexander Ploner [aut] (The author(s) of OCplus::tMixture, which was modified slightly leading to discTMix in this package.), Egil Ferkingstad [aut] (The author(s) of limma::convest, which was modified slightly leading to convest in this package.), Mette Langaas [aut] (The author(s) of limma::convest, which was modified slightly leading to convest in this package.), Marcus Davy [aut] (The author(s) of limma::convest, which was modified slightly leading to convest in this package.)
Maintainer: Long Qu <rtistician@gmail.com>

Diff between pi0 versions 1.4-0 dated 2015-07-06 and 1.4-1 dated 2017-07-09

 DESCRIPTION                |   18 
 MD5                        |  253 +++----
 NAMESPACE                  |  372 +++++------
 R/CBUM.R                   |  172 ++---
 R/NBsplines.R              |   40 -
 R/ToDoList.R               |   20 
 R/agjack.pi0.R             |   88 +-
 R/clean.cdf.R              |   58 -
 R/combn2R.R                |  168 ++---
 R/combn2RRepl.R            |  112 +--
 R/combnBt2RAllDifc.R       |  142 ++--
 R/combnBt2Rc.R             |  168 ++---
 R/combnBtRc.R              |  122 +--
 R/combnRRepl.R             |   90 +-
 R/cond.cdf.R               |  296 ++++-----
 R/convest.R                |  164 ++---
 R/dFsnc.mix.R              |  112 +--
 R/discTMix.R               |  348 +++++-----
 R/dncp.R                   |  126 +--
 R/dtn.mix.R                |   36 -
 R/extrp.pi0.known.gam2.R   |  232 +++----
 R/extrp.pi0.master.R       |  150 ++--
 R/extrp.pi0.unknown.gam2.R |  366 +++++------
 R/fdr.R                    |   24 
 R/geomean.R                |    8 
 R/gjack.R                  |    6 
 R/harmean.R                |    8 
 R/histf1.R                 |  170 ++---
 R/hypergeometric1F1.R      |   36 -
 R/int.nct.R                |  222 +++---
 R/laplace.nct.R            |   44 -
 R/lastbin.R                |   10 
 R/lfdr.R                   |  124 +--
 R/lfdr2p.R                 |  148 ++--
 R/matrix.t.test.R          |   64 -
 R/mdt.R                    |   98 +--
 R/momeff.R                 |  122 +--
 R/momeff.nonzeromean.R     |  322 +++++-----
 R/momeff.zeromean.R        |  172 ++---
 R/ncpest.R                 |  698 ++++++++++-----------
 R/ncpest.helpers.R         |   12 
 R/ncpest.iter.R            |   86 +-
 R/nparncp.R                | 1328 ++++++++++++++++++++---------------------
 R/nparncpF.R               | 1370 +++++++++++++++++++++---------------------
 R/parncp.R                 |  452 +++++++-------
 R/parncp2.R                |  992 +++++++++++++++---------------
 R/parncpF.R                |  504 +++++++--------
 R/pavaf1.R                 |  100 +--
 R/pdf.dist.R               |   28 
 R/plot.extrpi0.R           |   56 -
 R/plot.subex.R             |   66 +-
 R/plot.subt.R              |   38 -
 R/print.extrpi0.R          |   36 -
 R/print.subex.R            |   22 
 R/print.subt.R             |   28 
 R/reflection.R             |   18 
 R/saddlepoint.nct.R        |  330 +++++-----
 R/sim.dat.R                |   34 -
 R/sparncp.R                | 1446 ++++++++++++++++++++++-----------------------
 R/sparncpF.R               | 1390 +++++++++++++++++++++----------------------
 R/subex.R                  |   50 -
 R/subt.R                   |  156 ++--
 R/summary.extrpi0.R        |    6 
 R/summary.subex.R          |    6 
 R/summary.subt.R           |    6 
 R/varB.R                   |    8 
 R/znormix.R                |  142 ++--
 man/CBUM.Rd                |   94 +-
 man/agjack.Rd              |  114 +--
 man/clean.cdf.Rd           |  118 +--
 man/coef.ncpest.Rd         |  128 +--
 man/combn2R.Rd             |  252 +++----
 man/cond.cdf.Rd            |  128 +--
 man/convest.Rd             |   92 +-
 man/discTMix.Rd            |  180 ++---
 man/dncp.Rd                |  120 +--
 man/dt.int2.Rd             |  126 +--
 man/dt.lap.Rd              |  134 ++--
 man/dtn.mix.Rd             |  136 ++--
 man/extrp.pi0.master.Rd    |  244 +++----
 man/fdr.Rd                 |  100 +--
 man/fitted.discTMix.Rd     |  106 +--
 man/fitted.nparncp.Rd      |  134 ++--
 man/geomean.Rd             |  114 +--
 man/gjack.Rd               |  118 +--
 man/grid.search.Rd         |  164 ++---
 man/histf1.Rd              |  138 ++--
 man/lastbin.Rd             |   76 +-
 man/lfdr.Rd                |  164 ++---
 man/logLik.ncpest.Rd       |  106 +--
 man/mTruncNorm.Rd          |  162 ++---
 man/matrix.t.test.Rd       |  108 +--
 man/mdt.Rd                 |   94 +-
 man/ncpest.Rd              |  178 ++---
 man/ncpest.iter.Rd         |  130 ++--
 man/nparncp.Rd             |  244 +++----
 man/parncp.Rd              |  210 +++---
 man/pavaf1.Rd              |  124 +--
 man/pdf.dist.Rd            |   86 +-
 man/pi0-internal.Rd        |  102 +--
 man/pi0-package.Rd         |  168 ++---
 man/plot.extrpi0.Rd        |  104 +--
 man/plot.nparncp.Rd        |  120 +--
 man/plot.parncp.Rd         |  122 +--
 man/plot.sparncp.Rd        |  116 +--
 man/plot.subex.Rd          |  114 +--
 man/plot.subt.Rd           |  102 +--
 man/print.extrpi0.Rd       |   88 +-
 man/print.subex.Rd         |   90 +-
 man/print.subt.Rd          |   84 +-
 man/pt.sad.Rd              |  134 ++--
 man/reflection.Rd          |   98 +--
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New package mthapower with initial version 0.1.0
Package: mthapower
Type: Package
Title: Sample Size and Post-Hoc Power of Association Studies Involving Mitochondrial DNA Haplogroups
Version: 0.1.0
Author: Aurora Baluja
Maintainer: Aurora Baluja <mariauror@gmail.com>
Description: Calculate Sample Size and Post-Hoc Power of Association Studies Involving Mitochondrial DNA Haplogroups. Based on formulae by Samuels et al. AJHG, 2006. 78(4):713-720. <DOI:10.1086/502682>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, car
URL: ttps://github.com/aurora-mareviv/mthapower
BugReports: https://github.com/aurora-mareviv/mthapower/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-08 16:06:35 UTC; aure
Repository: CRAN
Date/Publication: 2017-07-09 06:16:47 UTC

More information about mthapower at CRAN
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New package hutils with initial version 0.1.2
Package: hutils
Type: Package
Title: Miscellaneous R Functions and Aliases
Version: 0.1.2
Date: 2017-07-08
Authors@R: c(person("Hugh", "Parsonage", role = c("aut", "cre"), email = "hugh.parsonage@gmail.com"))
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>
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.
BugReports: https://github.com/hughparsonage/hutils/issues
URL: https://github.com/hughparsonage/hutils
License: GPL-3
Imports: data.table, magrittr, fastmatch
Suggests: testthat
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-08 05:49:16 UTC; hughp
Author: Hugh Parsonage [aut, cre]
Repository: CRAN
Date/Publication: 2017-07-09 06:22:57 UTC

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Package hisemi updated to version 1.1-0 with previous version 1.0-319 dated 2013-08-31

Title: Hierarchical Semiparametric Regression of Test Statistics
Description: Methods for hierarchical semiparametric regression models for test statistics are implemented in this package. Specifically, test statistics given the null/alternative hypotheses are modeled parametrically, whereas the unobservable status of null/alternative hypotheses are modeled using nonparametric additive logistic regression over covariates.
Author: Long Qu
Maintainer: Long Qu <rtistician@gmail.com>

Diff between hisemi versions 1.0-319 dated 2013-08-31 and 1.1-0 dated 2017-07-09

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 man/vcov.hisemit.Rd    |   64 +-
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Package haven updated to version 1.1.0 with previous version 1.0.0 dated 2016-09-23

Title: Import and Export 'SPSS', 'Stata' and 'SAS' Files
Description: Import foreign statistical formats into R via the embedded 'ReadStat' C library, <https://github.com/WizardMac/ReadStat>.
Author: Hadley Wickham [aut, cre], Evan Miller [aut, cph] (Author of included ReadStat code), RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between haven versions 1.0.0 dated 2016-09-23 and 1.1.0 dated 2017-07-09

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More information about haven at CRAN
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Package ConfoundedMeta updated to version 1.2.0 with previous version 1.1.0 dated 2017-06-12

Title: Sensitivity Analyses for Unmeasured Confounding in Meta-Analyses
Description: Conducts sensitivity analyses for unmeasured confounding in random-effects meta-analysis per Mathur & VanderWeele (in preparation). Given output from a random-effects meta-analysis with a relative risk outcome, computes point estimates and inference for: (1) the proportion of studies with true causal effect sizes more extreme than a specified threshold of scientific significance; and (2) the minimum bias factor and confounding strength required to reduce to less than a specified threshold the proportion of studies with true effect sizes of scientifically significant size. Creates plots and tables for visualizing these metrics across a range of bias values. Provides tools to easily scrape study-level data from a published forest plot or summary table to obtain the needed estimates when these are not reported.
Author: Maya B. Mathur, Tyler J. VanderWeele
Maintainer: Maya B. Mathur <maya.z.mathur@gmail.com>

Diff between ConfoundedMeta versions 1.1.0 dated 2017-06-12 and 1.2.0 dated 2017-07-09

 DESCRIPTION        |    6 +++---
 MD5                |    6 +++---
 R/ConfoundedMeta.R |   15 +++++++++++----
 man/scrape_meta.Rd |    2 +-
 4 files changed, 18 insertions(+), 11 deletions(-)

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Package Ckmeans.1d.dp updated to version 4.2.1 with previous version 4.2.0 dated 2017-05-30

Title: Optimal and Fast Univariate Clustering
Description: Fast optimal univariate clustering and segementation by dynamic programming. Three types of problem including univariate k-means, k-median, and k-segments are solved with guaranteed optimality and reproducibility. The core algorithm minimizes the sum of within-cluster distances using respective metrics. Its advantage over heuristic clustering algorithms in efficiency and accuracy is increasingly pronounced as the number of clusters k increases. Weighted k-means and unweighted k-segments algorithms can also optimally segment time series and perform peak calling. An auxiliary function generates histograms that are adaptive to patterns in data. In contrast to heuristic methods, this package provides a powerful set of tools for univariate data analysis with guaranteed optimality.
Author: Joe Song [aut, cre], Haizhou Wang [aut]
Maintainer: Joe Song <joemsong@cs.nmsu.edu>

Diff between Ckmeans.1d.dp versions 4.2.0 dated 2017-05-30 and 4.2.1 dated 2017-07-09

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