Title: Common Plots for Analysis
Description: Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'.
Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions,
conditioned scatter plot with marginal densities,
box and stem with matching theoretical distribution, and density with matching theoretical distribution.
Author: John Mount [aut, cre],
Nina Zumel [aut],
Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>
Diff between WVPlots versions 1.2.0 dated 2019-10-04 and 1.2.1 dated 2019-10-12
DESCRIPTION | 8 - MD5 | 30 ++-- NEWS.md | 5 R/DistributionPlot.R | 7 - R/PRTPlot.R | 65 +++++++-- R/PlotDistCountBinomial.R | 2 R/ROC.R | 2 inst/doc/WVPlots_concept.html | 6 inst/doc/WVPlots_examples.R | 40 +++++- inst/doc/WVPlots_examples.Rmd | 64 +++++++++ inst/doc/WVPlots_examples.html | 267 ++++++++++++++++++++++++----------------- man/PRTPlot.Rd | 46 ++++--- man/PlotDistDensityNormal.Rd | 4 man/PlotDistHistBeta.Rd | 2 man/ROCPlot.Rd | 2 vignettes/WVPlots_examples.Rmd | 64 +++++++++ 16 files changed, 435 insertions(+), 179 deletions(-)
Title: Testing, Monitoring, and Dating Structural Changes
Description: Testing, monitoring and dating structural changes in (linear)
regression models. strucchange features tests/methods from
the generalized fluctuation test framework as well as from
the F test (Chow test) framework. This includes methods to
fit, plot and test fluctuation processes (e.g., CUSUM, MOSUM,
recursive/moving estimates) and F statistics, respectively.
It is possible to monitor incoming data online using
fluctuation processes.
Finally, the breakpoints in regression models with structural
changes can be estimated together with confidence intervals.
Emphasis is always given to methods for visualizing the data.
Author: Achim Zeileis [aut, cre] (<https://orcid.org/0000-0003-0918-3766>),
Friedrich Leisch [aut],
Kurt Hornik [aut],
Christian Kleiber [aut],
Bruce Hansen [ctb],
Edgar C. Merkle [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>
Diff between strucchange versions 1.5-1 dated 2015-06-06 and 1.5-2 dated 2019-10-12
DESCRIPTION | 19 ++-- MD5 | 63 +++++++------- NAMESPACE | 4 NEWS | 32 +++++++ R/Fstats.R | 2 R/breakpoints.R | 20 +++- R/efp.R | 136 +++++++++++++++++++------------- R/gefp.R | 14 +-- R/matrix.R | 6 - R/monitoring.R | 2 R/recresid.R | 89 +++++++++++++++++++- R/zzz.R | 6 - build/vignette.rds |binary data/BostonHomicide.rda |binary data/DJIA.rda |binary data/GermanM1.rda |binary data/Grossarl.rda |binary data/PhillipsCurve.rda |binary data/RealInt.rda |binary data/SP2001.rda |binary data/USIncExp.rda |binary data/durab.rda |binary data/scPublications.rda |binary inst/doc/strucchange-intro.pdf |binary man/BostonHomicide.Rd | 4 man/Grossarl.Rd | 3 man/breakpoints.Rd | 4 man/catL2BB.Rd | 10 +- man/efp.Rd | 10 ++ man/recresid.Rd | 15 +++ src |only tests/Examples/strucchange-Ex.Rout.save | 2 32 files changed, 306 insertions(+), 135 deletions(-)
Title: Glide Component for Shiny Applications
Description: Insert Glide JavaScript component into Shiny applications for
carousel or assistant-like user interfaces.
Author: Julien Barnier [aut, cre]
Maintainer: Julien Barnier <julien.barnier@ens-lyon.fr>
Diff between shinyglide versions 0.1.1 dated 2019-07-10 and 0.1.2 dated 2019-10-12
DESCRIPTION | 8 +-- MD5 | 16 +++--- NEWS.md | 6 ++ README.md | 11 +++- build/vignette.rds |binary inst/doc/a_introduction.html | 10 ++-- inst/doc/b_conditionals.html | 10 ++-- inst/doc/c_custom_controls.html | 10 ++-- inst/www/shiny-glide.js | 97 +++++++++++++++++++--------------------- 9 files changed, 96 insertions(+), 72 deletions(-)
Title: Downloads and Organizes Financial Data for Multiple Tickers
Description: Makes it easy to download a large number of trade data from Yahoo Finance <https://finance.yahoo.com/>.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>
Diff between BatchGetSymbols versions 2.5.3 dated 2019-08-05 and 2.5.4 dated 2019-10-12
DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ NEWS.md | 8 ++++++-- inst/doc/BatchGetSymbols-vignette.R | 2 +- inst/doc/BatchGetSymbols-vignette.Rmd | 2 +- inst/doc/BatchGetSymbols-vignette.html | 20 ++++++++++---------- vignettes/BatchGetSymbols-vignette.Rmd | 2 +- 7 files changed, 29 insertions(+), 25 deletions(-)
More information about BatchGetSymbols at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-07-06 0.1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-07-19 1.0.0
2016-09-26 0.1.0
Title: Distribution and Percentile of Sackin, Cophenetic and
Colless-Like Balance Indices of Phylogenetic Trees
Description: Computation of Colless-Like, Sackin and cophenetic balance indices of a phylogenetic tree and study of the distribution of these balance indices under the alpha-gamma model. For more details see A. Mir, F. Rossello, L. Rotger (2013) <doi:10.1016/j.mbs.2012.10.005> and (2018) <doi:10.1371/journal.pone.0203401>, M. J. Sackin (1972) <doi:10.1093/sysbio/21.2.225>, D. H. Colless (1982) <doi:10.2307/2413420>.
Author: Arnau Mir, Francesc Rossello, Lucia Rotger
Maintainer: Lucia Rotger <lucia.rotger@uib.es>
Diff between CollessLike versions 1.0 dated 2018-04-03 and 2.0 dated 2019-10-12
CollessLike-1.0/CollessLike/R/CollessLike-internal.R |only CollessLike-2.0/CollessLike/DESCRIPTION | 12 ++-- CollessLike-2.0/CollessLike/MD5 | 25 ++++---- CollessLike-2.0/CollessLike/NAMESPACE | 1 CollessLike-2.0/CollessLike/R/balance.indices.R | 54 ++++++++++-------- CollessLike-2.0/CollessLike/R/colles.like.index.R | 6 +- CollessLike-2.0/CollessLike/R/cophen.vector.R |only CollessLike-2.0/CollessLike/R/distribution.R | 18 +++--- CollessLike-2.0/CollessLike/R/indices.simulation.R | 2 CollessLike-2.0/CollessLike/build/partial.rdb |binary CollessLike-2.0/CollessLike/man/balance.indices.Rd | 8 +- CollessLike-2.0/CollessLike/man/colless.like.index.Rd | 6 +- CollessLike-2.0/CollessLike/man/cophen.vector.Rd |only CollessLike-2.0/CollessLike/man/distribution.Rd | 2 CollessLike-2.0/CollessLike/man/indices.simulation.Rd | 2 15 files changed, 75 insertions(+), 61 deletions(-)
Title: Block Splitting Algorithm for Estimation with Fused Penalty
Functions
Description: Provides methods fusedest_normal() and fusedest_logit() for carrying out block splitting algorithms for fused penalty estimation. For details, please see Tso-Jung Yen (2019) <doi.10618600.2019.1660178>.
Author: Tso-Jung Yen
Maintainer: Tso-Jung Yen <tjyen@stat.sinica.edu.tw>
Diff between fusedest versions 1.3 dated 2019-09-20 and 1.3.1 dated 2019-10-12
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- src/Rcpp_GradientLogisticReg.cpp | 2 +- src/Rcpp_IRLSLogisticReg.cpp | 2 +- src/Rcpp_MaxEigenXTX.cpp | 2 +- src/Rcpp_MaxEigenXTXrhoGTG.cpp | 2 +- 6 files changed, 13 insertions(+), 13 deletions(-)
Title: Bayesian Analysis of Non-Stationary Gaussian Process Models
Description: Enables off-the-shelf functionality for fully Bayesian, nonstationary Gaussian process modeling. The approach to nonstationary modeling involves a closed-form, convolution-based covariance function with spatially-varying parameters; these parameter processes can be specified either deterministically (using covariates or basis functions) or stochastically (using approximate Gaussian processes). Stationary Gaussian processes are a special case of our methodology, and we furthermore implement approximate Gaussian process inference to account for very large spatial data sets (Finley, et al (2017) <arXiv:1702.00434v2>). Bayesian inference is carried out using Markov chain Monte Carlo methods via the 'nimble' package, and posterior prediction for the Gaussian process at unobserved locations is provided as a post-processing step.
Author: Daniel Turek, Mark Risser
Maintainer: Daniel Turek <dbt1@williams.edu>
Diff between BayesNSGP versions 0.1.0 dated 2019-08-29 and 0.1.1 dated 2019-10-12
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- R/core.R | 32 ++++++++++++++++---------------- man/nsgpModel.Rd | 8 ++++---- man/nsgpPredict.Rd | 10 +++++----- 5 files changed, 33 insertions(+), 33 deletions(-)
Title: Parametric Voice Synthesis
Description: Tools for sound synthesis and acoustic analysis.
Performs parametric synthesis of sounds with harmonic and noise components
such as animal vocalizations or human voice. Also includes tools for
spectral analysis, pitch tracking, audio segmentation, self-similarity
matrices, morphing, etc.
Author: Andrey Anikin [aut, cre]
Maintainer: Andrey Anikin <rty.anik@rambler.ru>
Diff between soundgen versions 1.5.0 dated 2019-09-11 and 1.5.1 dated 2019-10-12
soundgen-1.5.0/soundgen/inst/shiny/pitch_app/www/temp.wav |only soundgen-1.5.1/soundgen/DESCRIPTION | 16 soundgen-1.5.1/soundgen/MD5 | 159 - soundgen-1.5.1/soundgen/NAMESPACE | 3 soundgen-1.5.1/soundgen/NEWS | 19 soundgen-1.5.1/soundgen/R/SSM.R | 100 soundgen-1.5.1/soundgen/R/amplitude.R | 12 soundgen-1.5.1/soundgen/R/analyze.R | 370 +-- soundgen-1.5.1/soundgen/R/formants.R | 16 soundgen-1.5.1/soundgen/R/loudness.R | 9 soundgen-1.5.1/soundgen/R/matchPars.R | 2 soundgen-1.5.1/soundgen/R/modulationSpectrum.R | 98 soundgen-1.5.1/soundgen/R/morph.R | 3 soundgen-1.5.1/soundgen/R/postprocessing.R | 10 soundgen-1.5.1/soundgen/R/rolloff.R | 3 soundgen-1.5.1/soundgen/R/segment.R | 5 soundgen-1.5.1/soundgen/R/smoothContours.R | 4 soundgen-1.5.1/soundgen/R/soundgen.R | 21 soundgen-1.5.1/soundgen/R/soundgenShiny.R | 67 soundgen-1.5.1/soundgen/R/source.R | 13 soundgen-1.5.1/soundgen/R/spectrogram.R | 319 +-- soundgen-1.5.1/soundgen/R/utilities_analyze.R | 191 + soundgen-1.5.1/soundgen/R/utilities_math.R | 41 soundgen-1.5.1/soundgen/R/utilities_morph.R | 12 soundgen-1.5.1/soundgen/R/utilities_pitch_postprocessing.R | 124 + soundgen-1.5.1/soundgen/R/vtl.R | 6 soundgen-1.5.1/soundgen/inst/doc/acoustic_analysis.R | 59 soundgen-1.5.1/soundgen/inst/doc/acoustic_analysis.Rmd | 69 soundgen-1.5.1/soundgen/inst/doc/acoustic_analysis.html | 833 ++++--- soundgen-1.5.1/soundgen/inst/doc/sound_generation.html | 1364 ++++++------- soundgen-1.5.1/soundgen/inst/shiny/pitch_app/server.R | 1330 +++++++----- soundgen-1.5.1/soundgen/inst/shiny/pitch_app/ui.R | 191 - soundgen-1.5.1/soundgen/inst/shiny/pitch_app/www/icons |only soundgen-1.5.1/soundgen/inst/shiny/soundgen_main/server.R | 158 + soundgen-1.5.1/soundgen/inst/shiny/soundgen_main/ui.R | 110 - soundgen-1.5.1/soundgen/man/HzToSemitones.Rd | 3 soundgen-1.5.1/soundgen/man/addFormants.Rd | 4 soundgen-1.5.1/soundgen/man/addPitchCands.Rd | 1 soundgen-1.5.1/soundgen/man/addVectors.Rd | 3 soundgen-1.5.1/soundgen/man/analyze.Rd | 89 soundgen-1.5.1/soundgen/man/analyzeFolder.Rd | 30 soundgen-1.5.1/soundgen/man/analyzeFrame.Rd | 7 soundgen-1.5.1/soundgen/man/beat.Rd | 4 soundgen-1.5.1/soundgen/man/crossFade.Rd | 3 soundgen-1.5.1/soundgen/man/estimateVTL.Rd | 3 soundgen-1.5.1/soundgen/man/fade.Rd | 3 soundgen-1.5.1/soundgen/man/fart.Rd | 4 soundgen-1.5.1/soundgen/man/filled.contour.mod.Rd | 14 soundgen-1.5.1/soundgen/man/flatSpectrum.Rd | 7 soundgen-1.5.1/soundgen/man/gaussianSmooth2D.Rd | 3 soundgen-1.5.1/soundgen/man/generateNoise.Rd | 5 soundgen-1.5.1/soundgen/man/getFrameBank.Rd | 10 soundgen-1.5.1/soundgen/man/getLoudness.Rd | 4 soundgen-1.5.1/soundgen/man/getLoudnessFolder.Rd | 4 soundgen-1.5.1/soundgen/man/getPitchAutocor.Rd | 9 soundgen-1.5.1/soundgen/man/getPrior.Rd | 50 soundgen-1.5.1/soundgen/man/getRMS.Rd | 8 soundgen-1.5.1/soundgen/man/getRMSFolder.Rd | 3 soundgen-1.5.1/soundgen/man/getRolloff.Rd | 3 soundgen-1.5.1/soundgen/man/intplPitch.Rd |only soundgen-1.5.1/soundgen/man/modulationSpectrum.Rd | 27 soundgen-1.5.1/soundgen/man/modulationSpectrumFolder.Rd | 7 soundgen-1.5.1/soundgen/man/morph.Rd | 3 soundgen-1.5.1/soundgen/man/normalizeFolder.Rd | 3 soundgen-1.5.1/soundgen/man/pitchSmoothPraat.Rd |only soundgen-1.5.1/soundgen/man/pitch_app.Rd | 65 soundgen-1.5.1/soundgen/man/schwa.Rd | 3 soundgen-1.5.1/soundgen/man/segment.Rd | 3 soundgen-1.5.1/soundgen/man/segmentFolder.Rd | 3 soundgen-1.5.1/soundgen/man/semitonesToHz.Rd | 3 soundgen-1.5.1/soundgen/man/soundgen.Rd | 7 soundgen-1.5.1/soundgen/man/spectrogram.Rd | 95 soundgen-1.5.1/soundgen/man/spectrogramFolder.Rd | 4 soundgen-1.5.1/soundgen/man/ssm.Rd | 44 soundgen-1.5.1/soundgen/man/summarizeAnalyze.Rd |only soundgen-1.5.1/soundgen/man/switchColorTheme.Rd |only soundgen-1.5.1/soundgen/man/transplantFormants.Rd | 11 soundgen-1.5.1/soundgen/man/updateAnalyze.Rd |only soundgen-1.5.1/soundgen/vignettes/acoustic_analysis.Rmd | 69 79 files changed, 3756 insertions(+), 2602 deletions(-)
Title: Utility Functions for Conducting and Interpreting Meta-Analyses
Description: Contains functions to estimate the proportion of effects stronger than a threshold
of scientific importance (function prop_stronger), to nonparametrically characterize the distribution of effects in a meta-analysis (calib_ests, pct_pval),
to make effect size conversions (r_to_d, r_to_z, z_to_r), to compute and format inference in a meta-analysis (format_CI, format_stat, tau_CI), to scrape results from
existing meta-analyses for re-analysis (scrape_meta, parse_CI_string).
Author: Maya B. Mathur, Rui Wang, Tyler J. VanderWeele
Maintainer: Maya B. Mathur <mmathur@stanford.edu>
Diff between MetaUtility versions 2.0.0 dated 2019-10-07 and 2.0.1 dated 2019-10-12
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- R/functions.R | 16 +++++++++------- man/prop_stronger.Rd | 8 ++++---- man/prop_stronger_sign.Rd | 3 ++- 5 files changed, 22 insertions(+), 19 deletions(-)
Title: Bias Reduction in Generalized Linear Models
Description: Estimation and inference from generalized linear models based on various methods for bias reduction. The 'brglmFit' fitting method can achieve reduction of estimation bias by solving either the mean bias-reducing adjusted score equations in Firth (1993) <doi:10.1093/biomet/80.1.27> and Kosmidis and Firth (2009) <doi:10.1093/biomet/asp055>, or the median bias-reduction adjusted score equations in Kenne et al. (2016) <arXiv:1604.04768>, or through the direct subtraction of an estimate of the bias of the maximum likelihood estimator from the maximum likelihood estimates as in Cordeiro and McCullagh (1991) <http://www.jstor.org/stable/2345592>. See Kosmidis et al (2019) <doi:10.1007/s11222-019-09860-6> for more details. Estimation in all cases takes place via a quasi Fisher scoring algorithm, and S3 methods for the construction of of confidence intervals for the reduced-bias estimates are provided. In the special case of generalized linear models for binomial and multinomial responses (both ordinal and nominal), the adjusted score approaches return estimates with improved frequentist properties, that are also always finite, even in cases where the maximum likelihood estimates are infinite (e.g. complete and quasi-complete separation). 'brglm2' also provides pre-fit and post-fit methods for detecting separation and infinite maximum likelihood estimates in binomial response generalized linear models.
Author: Ioannis Kosmidis [aut, cre] (<https://orcid.org/0000-0003-1556-0302>),
Kjell Konis [ctb],
Euloge Clovis Kenne Pagui [ctb],
Nicola Sartori [ctb]
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>
Diff between brglm2 versions 0.5.1 dated 2019-02-14 and 0.5.2 dated 2019-10-12
DESCRIPTION | 8 MD5 | 74 ++++---- NAMESPACE | 1 NEWS.md | 12 + R/brglm2-package.R | 22 +- R/brglmControl.R | 40 +++- R/brglmFit.R | 12 - R/brmultinom.R | 3 R/check_infinite_estimates.R | 2 R/data.R | 21 ++ R/detect_separation.R | 2 R/mis-link.R | 2 README.md | 30 +-- build/vignette.rds |binary inst/doc/adjacent.Rmd | 2 inst/doc/adjacent.html | 272 +++++++++++++++-------------- inst/doc/iteration.Rmd | 7 inst/doc/iteration.html | 57 +++--- inst/doc/multinomial.Rmd | 2 inst/doc/multinomial.html | 332 ++++++++++++++++++------------------ inst/doc/separation.Rmd | 2 inst/doc/separation.html | 175 +++++++++--------- man/alligators.Rd | 3 man/brglm2.Rd | 21 +- man/brglmControl.Rd | 47 +++-- man/brmultinom.Rd | 2 man/check_infinite_estimates.glm.Rd | 2 man/coalition.Rd | 3 man/detect_separation.Rd | 2 man/endometrial.Rd | 3 man/lizards.Rd | 3 man/mis.Rd | 3 man/stemcell.Rd | 3 vignettes/adjacent.Rmd | 2 vignettes/brglm2.bib | 2 vignettes/iteration.Rmd | 7 vignettes/multinomial.Rmd | 2 vignettes/separation.Rmd | 2 38 files changed, 676 insertions(+), 509 deletions(-)
More information about spectralGraphTopology at CRAN
Permanent link
Title: Downloading, Reading and Analysing PNADc Microdata
Description: Provides tools for download, read, and analyse the PNADc
household survey from Brazilian Institute of Geography and Statistics.
The data must be downloaded from the official website <https://www.ibge.gov.br/>.
Further analyses must be made using package 'survey'.
Author: Douglas Braga [aut],
Gabriel Assuncao [aut, cre]
Maintainer: Gabriel Assuncao <pacotepnadc@ibge.gov.br>
Diff between PNADcIBGE versions 0.4.3 dated 2018-08-23 and 0.5.0 dated 2019-10-12
DESCRIPTION | 17 +++++++----- MD5 | 16 +++++------ R/pnadc_design.R | 70 +++++++++++++++++++++++++++----------------------- R/pnadc_labeller.R | 65 +++++++++++++++++++++++++--------------------- man/get_pnadc.Rd | 4 +- man/pnadc_design.Rd | 18 ++++++------ man/pnadc_example.Rd | 2 - man/pnadc_labeller.Rd | 10 +++---- man/read_pnadc.Rd | 6 ++-- 9 files changed, 111 insertions(+), 97 deletions(-)
Title: NanoString Quality Control Dashboard
Description: NanoString nCounter data are gene expression assays where there is no need for the use of enzymes
or amplification protocols and work with fluorescent barcodes (Geiss et al. (2018) <doi:10.1038/nbt1385>).
Each barcode is assigned a messenger-RNA/micro-RNA (mRNA/miRNA) which after bonding with its target can be counted.
As a result each count of a specific barcode represents the presence of its target mRNA/miRNA.
'NACHO' (NAnoString quality Control dasHbOard) is able to analyse the exported NanoString nCounter
data and facilitates the user in performing a quality control.
'NACHO' does this by visualising quality control metrics, expression of control genes,
principal components and sample specific size factors in an interactive web application.
Author: Mickaël Canouil [aut, cre] (<https://orcid.org/0000-0002-3396-4549>),
Roderick Slieker [aut] (<https://orcid.org/0000-0003-0961-9152>),
Gerard Bouland [aut]
Maintainer: Mickaël Canouil <mickael.canouil@cnrs.fr>
Diff between NACHO versions 0.6.0 dated 2019-10-07 and 0.6.1 dated 2019-10-12
DESCRIPTION | 7 ++++--- MD5 | 15 ++++++++------- NAMESPACE | 2 ++ NEWS.md | 12 ++++++++++++ R/render.R | 2 ++ README.md |only inst/doc/NACHO.html | 4 ++-- tests/testthat/test-render.R | 24 ++++++++++++++++++------ tests/testthat/test-summarise.R | 18 +++++++++--------- 9 files changed, 57 insertions(+), 27 deletions(-)
Title: Derive Polygenic Risk Score Based on Emprical Bayes Theory
Description: EB-PRS is a novel method that leverages information for effect sizes across all the markers to improve the prediction accuracy. No parameter tuning is needed in the method, and no external information is needed. This R-package provides the calculation of polygenic risk scores from the given training summary statistics and testing data. We can use EB-PRS to extract main information, estimate Empirical Bayes parameters, derive polygenic risk scores for each individual in testing data, and evaluate the PRS according to AUC and predictive r2.
Author: Shuang Song [aut, cre], Wei Jiang [aut], Lin Hou [aut] and Hongyu Zhao [aut]
Maintainer: Shuang Song <song-s19@mails.tsinghua.edu.cn>
Diff between EBPRS versions 1.2.0 dated 2019-10-10 and 1.2.1 dated 2019-10-12
DESCRIPTION | 8 ++++---- MD5 | 26 +++++++++++++------------- NAMESPACE | 1 - R/agtc.R | 1 - R/bedNA0.R | 3 +-- R/extractInfo.R | 8 ++++++-- R/generateScore.R | 2 +- R/getEffectSize.R | 3 ++- R/getpara.R | 1 - R/packageEBPRS.R | 2 ++ man/EBPRSpackage.Rd | 2 ++ man/extractInfo.Rd | 5 +++++ man/generateScore.Rd | 2 +- man/getEffectSize.Rd | 2 ++ 14 files changed, 39 insertions(+), 27 deletions(-)
Title: Search and Retrieve Data from Eurostat Database
Description: Eurostat is the statistical office of the European Union and provides high quality statistics for Europe.
Large set of the data is disseminated through the Eurostat database (<https://ec.europa.eu/eurostat/data/database>).
The tools are using the REST API with the Statistical Data and Metadata eXchange (SDMX <https://sdmx.org>) Web Services
(<https://ec.europa.eu/eurostat/web/sdmx-web-services/about-this-service>) to search and download data from
the Eurostat database using the SDMX standard.
Author: Mátyás Mészáros [aut, cre]
Maintainer: Mátyás Mészáros <matyas.meszaros@ec.europa.eu>
Diff between restatapi versions 0.3.6 dated 2019-09-29 and 0.4.0 dated 2019-10-12
DESCRIPTION | 8 +- MD5 | 34 +++++----- R/clean_restatapi_cache.R | 4 - R/get_compressed_sdmx.R | 6 - R/get_eurostat_bulk.R | 77 ++++++++++++----------- R/get_eurostat_data.R | 27 ++++---- R/get_eurostat_dsd.R | 60 +++++++++++++----- R/get_eurostat_raw.R | 147 ++++++++++++++++++++++----------------------- R/get_eurostat_toc.R | 60 ++++++++++-------- R/load_cfg.R | 20 +++--- R/search_eurostat_dsd.R | 4 - R/search_eurostat_toc.R | 14 +++- man/get_compressed_sdmx.Rd | 2 man/get_eurostat_dsd.Rd | 2 man/load_cfg.Rd | 7 -- man/search_eurostat_dsd.Rd | 4 - man/search_eurostat_toc.Rd | 7 +- tests/testthat/test-all.R | 18 ++++- 18 files changed, 288 insertions(+), 213 deletions(-)
Title: Detecting Politeness Features in Text
Description: Detecting markers of politeness in English natural language. This package allows researchers to easily visualize and quantify politeness between groups of documents. This package combines prior research on the linguistic markers of politeness (Brown & Levinson, 1987 <http://psycnet.apa.org/record/1987-97641-000>; Danescu-Niculescu-Mizil et al., 2013 <arXiv:1306.6078>; Voigt et al., 2017 <doi:10.1073/pnas.1702413114>). We thank the Spencer Foundation, the Hewlett Foundation, and Harvard's Institute for Quantitative Social Science for support.
Author: Mike Yeomans, Alejandro Kantor, Dustin Tingley
Maintainer: Mike Yeomans <myeomans@hbs.edu>
Diff between politeness versions 0.4.0 dated 2019-10-09 and 0.4.1 dated 2019-10-12
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- R/receptiveness.R | 7 ++++--- inst/doc/politeness.html | 10 +++++----- man/receptiveness.Rd | 1 + 5 files changed, 17 insertions(+), 15 deletions(-)
Title: Generalized Linear Mixed Model Association Tests
Description: Perform association tests using generalized linear mixed models (GLMMs) in genome-wide association studies (GWAS) and sequencing association studies. First, GMMAT fits a GLMM with covariate adjustment and random effects to account for population structure and familial or cryptic relatedness. For GWAS, GMMAT performs score tests for each genetic variant as proposed in Chen et al. (2016) <DOI:10.1016/j.ajhg.2016.02.012>. For candidate gene studies, GMMAT can also perform Wald tests to get the effect size estimate for each genetic variant. For rare variant analysis from sequencing association studies, GMMAT performs the variant Set Mixed Model Association Tests (SMMAT) as proposed in Chen et al. (2019) <DOI:10.1016/j.ajhg.2018.12.012>, including the burden test, the sequence kernel association test (SKAT), SKAT-O and an efficient hybrid test of the burden test and SKAT, based on user-defined variant sets.
Author: Han Chen, Matthew P. Conomos
Maintainer: Han Chen <Han.Chen.2@uth.tmc.edu>
Diff between GMMAT versions 1.1.1 dated 2019-08-26 and 1.1.2 dated 2019-10-12
DESCRIPTION | 8 +++--- MD5 | 20 ++++++++-------- R/glmm.score.R | 7 +---- R/glmm.wald.R | 7 +---- R/glmmkin.R | 62 ++++++++++++++++++++++++++++++++++++++++++++++++++- build/vignette.rds |binary data/example.rda |binary inst/doc/GMMAT.Rnw | 10 ++++++-- inst/doc/GMMAT.pdf |binary man/GMMAT-package.Rd | 4 +-- vignettes/GMMAT.Rnw | 10 ++++++-- 11 files changed, 97 insertions(+), 31 deletions(-)