Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for multiple random effects allowing the specification of variance-covariance structures for random effects and allowing the fit of heterogeneous and special variance models (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>). ML/REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms. Designed for genomic prediction and genome wide association studies (GWAS), particularly focused in the p > n problem (more coefficients than observations) to include multiple relationship matrices or other covariance structures. Spatial models can be fitted using the two-dimensional spline functionality in sommer.
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>
Diff between sommer versions 3.7.2 dated 2018-12-09 and 3.7.3 dated 2018-12-09
DESCRIPTION | 6 - MD5 | 18 +-- R/FUN_utils.R | 3 R/GWAS.R | 3 R/mmer.R | 4 man/fcm.Rd | 14 ++ man/mmer.Rd | 33 +++--- src/MNR.cpp | 59 +++++++++-- vignettes/sommer.html | 158 ++++++++++++++--------------- vignettes/sommer.start.html | 232 ++++++++++++++++++++++---------------------- 10 files changed, 295 insertions(+), 235 deletions(-)
Title: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids
and Affinity Propagation Clustering
Description: Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions. For more information, see (i) "Clustering in an Object-Oriented Environment" by Anja Struyf, Mia Hubert, Peter Rousseeuw (1997), Journal of Statistical Software, <doi:10.18637/jss.v001.i04>; (ii) "Web-scale k-means clustering" by D. Sculley (2010), ACM Digital Library, <doi:10.1145/1772690.1772862>; (iii) "Armadillo: a template-based C++ library for linear algebra" by Sanderson et al (2016), The Journal of Open Source Software, <doi:10.21105/joss.00026>; (iv) "Clustering by Passing Messages Between Data Points" by Brendan J. Frey and Delbert Dueck, Science 16 Feb 2007: Vol. 315, Issue 5814, pp. 972-976, <doi:10.1126/science.1136800>.
Author: Lampros Mouselimis [aut, cre],
Conrad Sanderson [cph] (Author of the C++ Armadillo library),
Ryan Curtin [cph] (Author of the C++ Armadillo library),
Siddharth Agrawal [cph] (Author of the C code of the Mini-Batch-Kmeans
algorithm
(https://github.com/siddharth-agrawal/Mini-Batch-K-Means)),
Brendan Frey [cph] (Author of the matlab code of the Affinity
propagation algorithm (for commercial use please contact the
author)),
Delbert Dueck [cph] (Author of the matlab code of the Affinity
propagation algorithm)
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>
Diff between ClusterR versions 1.1.6 dated 2018-11-08 and 1.1.7 dated 2018-12-09
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- NEWS.md | 5 +++++ README.md | 2 +- inst/doc/the_clusterR_package.html | 12 ++++++------ inst/include/affinity_propagation.h | 26 ++++++++++++++------------ tests/testthat/test-kmeans.R | 26 +++++++++++++------------- tests/testthat/test-medoids.R | 8 -------- 8 files changed, 50 insertions(+), 51 deletions(-)
Title: Robust Estimation and Inference in Sample Selection Models
Description: Package provides a set of tools for robust estimation and inference for models with sample selectivity.
Author: Mikhail Zhelonkin, Marc G. Genton, Elvezio Ronchetti
Maintainer: Mikhail Zhelonkin <Mikhail.Zhelonkin@gmail.com>
Diff between ssmrob versions 0.4 dated 2014-03-15 and 0.5 dated 2018-12-09
DESCRIPTION | 10 +- MD5 | 83 +++++++++++++-------- NAMESPACE | 27 ++++++- R/MmatrM.R | 2 R/coef.etregrob.R |only R/coef.heckit5rob.R | 10 +- R/coef.heckitrob.R | 8 +- R/etreg2steprobVcov.R |only R/etregrob.R |only R/fitted.etregrob.R |only R/fitted.heckit5rob.R | 4 - R/heck2steprobVcov.R | 14 +-- R/heck5twosteprobVcov.R | 12 +-- R/heckit5rob.R | 58 +++++++++------ R/heckitrob.R | 42 +++++++---- R/print.etregrob.R |only R/print.heckit5rob.R | 2 R/print.heckitrob.R | 2 R/print.summary.etregrob.R |only R/print.summary.heckit5rob.R | 14 +-- R/print.summary.heckitrob.R | 10 +- R/residuals.etregrob.R |only R/residuals.heckit5rob.R | 6 - R/ssmrob-internal.R |only R/summary.etregrob.R |only R/summary.heckit5rob.R | 24 +++--- R/summary.heckitrob.R | 16 ++-- R/vcov.etregrob.R |only R/x2weight.covMcd.R | 27 +++++-- R/x2weight.robCov.R | 27 +++++-- data/MEPS2001.rda |binary data/MROZ.RAW.rda |binary man/PsiMest.Rd | 114 +++++++++++++++--------------- man/coef.etregrob.Rd |only man/etreg2steprobVcov.Rd |only man/etregrob.Rd |only man/fitted.etregrob.Rd |only man/heckit5rob.Rd | 146 +++++++++++++++++++------------------- man/heckitrob.Rd | 128 ++++++++++++++++----------------- man/print.etregrob.Rd |only man/print.heckit5rob.Rd | 119 ++++++++++++++++--------------- man/print.heckitrob.Rd | 119 ++++++++++++++++--------------- man/print.summary.etregrob.Rd |only man/print.summary.heckit5rob.Rd | 115 +++++++++++++++--------------- man/print.summary.heckitrob.Rd | 115 +++++++++++++++--------------- man/residuals.etregrob.Rd |only man/residuals.heckitrob.Rd | 77 ++++++++++---------- man/ssmrob-package.Rd | 81 ++++++++++----------- man/ssmrob.Rd | 152 ++++++++++++++++++++-------------------- man/summary.etregrob.Rd |only man/vcov.etregrob.Rd |only man/vcov.heckitrob.Rd | 100 ++++++++++++-------------- 52 files changed, 891 insertions(+), 773 deletions(-)
Title: Tools for Units of Measurement
Description: Collection of tools to make working with physical measurements
easier. Convert between metric and imperial units, or calculate a dimension's
unknown value from other dimensions' measurements.
Author: Matthew A. Birk
Maintainer: Matthew A. Birk <matthewabirk@gmail.com>
Diff between measurements versions 1.2.0 dated 2018-03-21 and 1.3.0 dated 2018-12-09
DESCRIPTION | 10 +++++----- MD5 | 8 ++++---- NEWS | 6 ++++++ R/conv_unit.R | 13 +++++++++++-- man/conv_unit.Rd | 4 ++-- 5 files changed, 28 insertions(+), 13 deletions(-)
Title: Access to Twitter Streaming API via R
Description: Functions to access Twitter's filter, sample, and user streams, and to
parse the output into data frames.
Author: Pablo Barbera <pablo.barbera@nyu.edu>
Maintainer: Pablo Barbera <pablo.barbera@nyu.edu>
Diff between streamR versions 0.4.4 dated 2018-07-28 and 0.4.5 dated 2018-12-09
ChangeLog | 2 ++ DESCRIPTION | 6 +++--- MD5 | 6 +++--- R/parseTweets.R | 43 +++++++++++++++++++++++++++---------------- 4 files changed, 35 insertions(+), 22 deletions(-)
Title: An Image Processing Toolkit
Description: Incorporates functions for image preprocessing, filtering and image recognition. The package takes advantage of 'RcppArmadillo' to speed up computationally intensive functions. The histogram of oriented gradients descriptor is a modification of the 'findHOGFeatures' function of the 'SimpleCV' computer vision platform, the average_hash(), dhash() and phash() functions are based on the 'ImageHash' python library. The Gabor Feature Extraction functions are based on 'Matlab' code of the paper, "CloudID: Trustworthy cloud-based and cross-enterprise biometric identification" by M. Haghighat, S. Zonouz, M. Abdel-Mottaleb, Expert Systems with Applications, vol. 42, no. 21, pp. 7905-7916, 2015, <doi:10.1016/j.eswa.2015.06.025>. The 'SLIC' and 'SLICO' superpixel algorithms were explained in detail in (i) "SLIC Superpixels Compared to State-of-the-art Superpixel Methods", Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Suesstrunk, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, num. 11, p. 2274-2282, May 2012, <doi:10.1109/TPAMI.2012.120> and (ii) "SLIC Superpixels", Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Suesstrunk, EPFL Technical Report no. 149300, June 2010.
Author: Lampros Mouselimis [aut, cre],
Sight Machine [cph] (findHOGFeatures function of the SimpleCV computer
vision platform),
Johannes Buchner [cph] (average_hash, dhash and phash functions of the
ImageHash python library),
Mohammad Haghighat [cph] (Gabor Feature Extraction),
Radhakrishna Achanta [cph] (Author of the C++ code of the SLIC and
SLICO algorithms (for commercial use please contact the author))
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>
Diff between OpenImageR versions 1.1.2 dated 2018-11-08 and 1.1.3 dated 2018-12-09
DESCRIPTION | 8 +-- MD5 | 34 ++++++++-------- NEWS.md | 5 ++ R/open_image_rscript.R | 6 +- README.md | 2 inst/doc/Gabor_Feature_Extraction.html | 4 - inst/doc/Image_segmentation_superpixels_clustering.Rmd | 19 ++++---- inst/doc/Image_segmentation_superpixels_clustering.html | 21 ++++----- inst/doc/The_OpenImageR_package.Rmd | 2 inst/doc/The_OpenImageR_package.html | 20 ++++----- man/rotateFixed.Rd | 4 - man/rotateImage.Rd | 2 tests/testthat/test-gabor.R | 4 - tests/testthat/test-hash_functionsR.R | 2 tests/testthat/test-rotate.R | 18 ++++---- tests/testthat/test-superpixels.R | 4 - vignettes/Image_segmentation_superpixels_clustering.Rmd | 19 ++++---- vignettes/The_OpenImageR_package.Rmd | 2 18 files changed, 91 insertions(+), 85 deletions(-)
Title: Sensitivity Analysis Tools for LSD
Description: Tools for sensitivity analysis of LSD simulation models. Reads object-oriented data produced by LSD simulation models and performs screening and global sensitivity analysis (Sobol decomposition method, Saltelli et al. (2008) ISBN:9780470725177). A Kriging or polynomial meta-model (Kleijnen (2009) <doi:10.1016/j.ejor.2007.10.013>) is estimated using the simulation data to provide the data required by the Sobol decomposition. LSD (Laboratory for Simulation Development) is free software developed by Marco Valente (documentation and downloads available at <http://labsimdev.org>).
Author: Marcelo C. Pereira
Maintainer: Marcelo C. Pereira <marcelocpereira@uol.com.br>
Diff between LSDsensitivity versions 0.3.0 dated 2018-07-15 and 0.3.2 dated 2018-12-09
DESCRIPTION | 8 ++-- MD5 | 8 ++-- R/LSDsensitivity.R | 84 +++++++++++++++++++++++++++------------------------- build/partial.rdb |binary man/read.doe.lsd.Rd | 2 - 5 files changed, 54 insertions(+), 48 deletions(-)
More information about LSDsensitivity at CRAN
Permanent link
Title: Panel Smooth Transition Regression Modelling
Description: Provides the Panel Smooth Transition Regression (PSTR) modelling.
The modelling procedure consists of three stages: Specification, Estimation and Evaluation.
The package offers sharp tools helping the package user(s) to conduct model specification tests,
to do PSTR model estimation, and to do model evaluation.
The tests implemented in the package allow for cluster-dependency and are heteroskedasticity-consistent.
The wild bootstrap and wild cluster bootstrap tests are also implemented.
Parallel computation (as an option) is implemented in some functions, especially the bootstrap tests.
The package suits tasks running many cores on super-computation servers.
Author: Yukai Yang [aut, cre]
Maintainer: Yukai Yang <yukai.yang@statistik.uu.se>
Diff between PSTR versions 1.2.1 dated 2018-06-01 and 1.2.3 dated 2018-12-09
PSTR-1.2.1/PSTR/README.md |only PSTR-1.2.3/PSTR/DESCRIPTION | 9 +- PSTR-1.2.3/PSTR/MD5 | 29 ++++---- PSTR-1.2.3/PSTR/NAMESPACE | 1 PSTR-1.2.3/PSTR/NEWS.md | 10 ++ PSTR-1.2.3/PSTR/R/PSTR.R | 15 +++- PSTR-1.2.3/PSTR/R/estimation.R | 8 +- PSTR-1.2.3/PSTR/R/utils.R | 126 +++++++++++++++++++++++++++++++++++-- PSTR-1.2.3/PSTR/build |only PSTR-1.2.3/PSTR/inst |only PSTR-1.2.3/PSTR/man/EstPSTR.Rd | 4 - PSTR-1.2.3/PSTR/man/EvalTest.Rd | 1 PSTR-1.2.3/PSTR/man/LinTest.Rd | 1 PSTR-1.2.3/PSTR/man/NewPSTR.Rd | 4 - PSTR-1.2.3/PSTR/man/PSTR.Rd | 2 PSTR-1.2.3/PSTR/man/plot_target.Rd |only PSTR-1.2.3/PSTR/vignettes |only 17 files changed, 177 insertions(+), 33 deletions(-)
More information about ProjectManagement at CRAN
Permanent link
Title: Tokenization, Parts of Speech Tagging, Lemmatization and
Dependency Parsing with the 'UDPipe' 'NLP' Toolkit
Description: This natural language processing toolkit provides language-agnostic
'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency
parsing' of raw text. Next to text parsing, the package also allows you to train
annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided
at <http://universaldependencies.org/format.html>. The techniques are explained
in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0
with UDPipe', available at <doi:10.18653/v1/K17-3009>.
Author: Jan Wijffels [aut, cre, cph],
BNOSAC [cph],
Institute of Formal and Applied Linguistics, Faculty of Mathematics and
Physics, Charles University in Prague, Czech Republic [cph],
Milan Straka [ctb, cph],
Jana Straková [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Diff between udpipe versions 0.7 dated 2018-09-10 and 0.8 dated 2018-12-09
DESCRIPTION | 6 MD5 | 80 ++-- NAMESPACE | 2 NEWS.md | 34 + R/nlp_dependency_parsing.R | 2 R/nlp_flow.R | 2 R/nlp_morphological.R | 2 R/sentiment.R |only R/udpipe_models.R | 334 +++++++++++++----- R/udpipe_parse.R | 7 R/utils.R | 56 ++- README.md | 10 inst/doc/udpipe-annotation.R | 6 inst/doc/udpipe-annotation.Rmd | 10 inst/doc/udpipe-annotation.html | 28 - inst/doc/udpipe-train.html | 6 inst/doc/udpipe-tryitout.R | 3 inst/doc/udpipe-tryitout.Rmd | 4 inst/doc/udpipe-tryitout.html | 12 inst/doc/udpipe-usecase-postagging-lemmatisation.R | 3 inst/doc/udpipe-usecase-postagging-lemmatisation.Rmd | 3 inst/doc/udpipe-usecase-postagging-lemmatisation.html | 44 +- inst/doc/udpipe-usecase-topicmodelling.R | 3 inst/doc/udpipe-usecase-topicmodelling.Rmd | 4 inst/doc/udpipe-usecase-topicmodelling.html | 125 +++--- inst/models-ud-2.0/annotation_params_ud-2-0.RData |only inst/models-ud-2.3 |only man/as.data.frame.udpipe_connlu.Rd | 2 man/cbind_dependencies.Rd | 2 man/cbind_morphological.Rd | 2 man/txt_nextgram.Rd | 2 man/txt_previousgram.Rd |only man/txt_recode.Rd | 1 man/txt_sentiment.Rd |only man/udpipe.Rd | 3 man/udpipe_annotate.Rd | 2 man/udpipe_download_model.Rd | 179 +++++---- man/udpipe_load_model.Rd | 5 vignettes/udpipe-annotation.Rmd | 10 vignettes/udpipe-tryitout.Rmd | 4 vignettes/udpipe-usecase-postagging-lemmatisation.Rmd | 3 vignettes/udpipe-usecase-topicmodelling.Rmd | 4 42 files changed, 661 insertions(+), 344 deletions(-)
Title: Unmanned Aerial Vehicle Remote Sensing Tools
Description: Support the analysis of drone derived imagery and point clouds as a cheap and easy to use alternative/complement to light detection and ranging data. It provides functionality to analyze poor quality digital aerial images as taken by low budget ready to fly drones. This includes supported machine learning based classification functions, comprehensive texture analysis, segmentation algorithms as well as forest relevant analyzes of metrics and measures on the derived products.
Author: Florian Detsch [ctb],
Hanna Meyer [aut],
Finn Möller [ctb],
Thomas Nauss [ctb],
Lars Opgenoorth [ctb],
Chris Reudenbach [cre, aut],
Environmental Informatics Marburg [ctb]
Maintainer: Chris Reudenbach <reudenbach@uni-marburg.de>
Diff between uavRst versions 0.5-0 dated 2018-11-19 and 0.5-2 dated 2018-12-09
uavRst-0.5-0/uavRst/R/rs_pc2D_dsm.R |only uavRst-0.5-0/uavRst/R/rs_pc2D_dtm.R |only uavRst-0.5-0/uavRst/R/rs_pc2D_dtmmw.R |only uavRst-0.5-0/uavRst/man/pc2D_dsm.Rd |only uavRst-0.5-0/uavRst/man/pc2D_dtm.Rd |only uavRst-0.5-0/uavRst/man/pc2D_dtm_fw.Rd |only uavRst-0.5-2/uavRst/DESCRIPTION | 13 uavRst-0.5-2/uavRst/MD5 | 92 ++--- uavRst-0.5-2/uavRst/NAMESPACE | 11 uavRst-0.5-2/uavRst/NEWS | 16 uavRst-0.5-2/uavRst/NEWS.md | 15 uavRst-0.5-2/uavRst/R/fa_crownfilter.R | 42 +- uavRst-0.5-2/uavRst/R/fa_crownmetrics.R | 23 - uavRst-0.5-2/uavRst/R/fa_crownseg.R | 173 ++++++--- uavRst-0.5-2/uavRst/R/fa_treepos.R | 47 +- uavRst-0.5-2/uavRst/R/rs_classify.R | 144 +++----- uavRst-0.5-2/uavRst/R/rs_colorspace.R | 5 uavRst-0.5-2/uavRst/R/rs_lastools.R | 14 uavRst-0.5-2/uavRst/R/rs_pc3D_dtm.R | 5 uavRst-0.5-2/uavRst/R/rs_pc_2D_dsm.R |only uavRst-0.5-2/uavRst/R/rs_pc_2D_fdtm.R |only uavRst-0.5-2/uavRst/R/rs_pc_2D_mdtm.R |only uavRst-0.5-2/uavRst/R/rs_rinlidar.R | 30 - uavRst-0.5-2/uavRst/R/rs_textures.R | 119 ++++-- uavRst-0.5-2/uavRst/R/tb_bluedjinn.R | 540 +++++++++++++++++++----------- uavRst-0.5-2/uavRst/R/uavRst-package.R | 1 uavRst-0.5-2/uavRst/README.md | 24 - uavRst-0.5-2/uavRst/data/chm_seg.rda |binary uavRst-0.5-2/uavRst/data/mrbiko.rda |binary uavRst-0.5-2/uavRst/data/pacman.rda |binary uavRst-0.5-2/uavRst/data/rgb.rda |binary uavRst-0.5-2/uavRst/data/trp_seg.rda |binary uavRst-0.5-2/uavRst/man/calc_ext.Rd | 23 - uavRst-0.5-2/uavRst/man/chmseg_FT.Rd | 1 uavRst-0.5-2/uavRst/man/chmseg_GWS.Rd | 22 - uavRst-0.5-2/uavRst/man/chmseg_ITC.Rd | 2 uavRst-0.5-2/uavRst/man/chmseg_RL.Rd | 4 uavRst-0.5-2/uavRst/man/crown_filter.Rd | 13 uavRst-0.5-2/uavRst/man/ffs_train.Rd | 4 uavRst-0.5-2/uavRst/man/fileProcStatus.Rd |only uavRst-0.5-2/uavRst/man/get_counts.Rd | 26 - uavRst-0.5-2/uavRst/man/get_traindata.Rd | 24 - uavRst-0.5-2/uavRst/man/lastool.Rd | 14 uavRst-0.5-2/uavRst/man/otb_stat.Rd | 10 uavRst-0.5-2/uavRst/man/pc_2D_dsm.Rd |only uavRst-0.5-2/uavRst/man/pc_2D_fdtm.Rd |only uavRst-0.5-2/uavRst/man/pc_2D_mdtm.Rd |only uavRst-0.5-2/uavRst/man/poly_metrics.Rd | 19 - uavRst-0.5-2/uavRst/man/poly_stat.Rd | 46 -- uavRst-0.5-2/uavRst/man/predict_rgb.Rd | 4 uavRst-0.5-2/uavRst/man/r2saga.Rd |only uavRst-0.5-2/uavRst/man/r_in_lidar.Rd | 30 - uavRst-0.5-2/uavRst/man/raster2sdat.Rd |only uavRst-0.5-2/uavRst/man/saga2r.Rd |only uavRst-0.5-2/uavRst/man/shp2so.Rd |only uavRst-0.5-2/uavRst/man/so2shp.Rd |only 56 files changed, 890 insertions(+), 666 deletions(-)
Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for multiple random effects allowing the specification of variance-covariance structures for random effects and allowing the fit of heterogeneous and special variance models (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>). ML/REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms. Designed for genomic prediction and genome wide association studies (GWAS), particularly focused in the p > n problem (more coefficients than observations) to include multiple relationship matrices or other covariance structures. Spatial models can be fitted using the two-dimensional spline functionality in sommer.
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>
Diff between sommer versions 3.7.1 dated 2018-12-07 and 3.7.2 dated 2018-12-09
DESCRIPTION | 8 - MD5 | 14 +- R/FUN_plotting.R | 104 +++---------------- R/FUN_special.R | 2 man/spatPlots.Rd | 18 ++- src/MNR.cpp | 6 - vignettes/sommer.html | 158 ++++++++++++++--------------- vignettes/sommer.start.html | 238 ++++++++++++++++++++++---------------------- 8 files changed, 247 insertions(+), 301 deletions(-)
Title: Open Population Capture-Recapture
Description: Functions for non-spatial and spatial open-population capture-recapture analysis.
Author: Murray Efford [aut, cre] (<https://orcid.org/0000-0001-5231-5184>)
Maintainer: Murray Efford <murray.efford@otago.ac.nz>
Diff between openCR versions 1.3.1 dated 2018-12-08 and 1.3.2 dated 2018-12-09
DESCRIPTION | 6 +++--- MD5 | 20 ++++++++++---------- NEWS | 8 ++++++++ inst/doc/openCR-manual.pdf |binary inst/doc/openCR-vignette.R | 3 ++- inst/doc/openCR-vignette.Rmd | 3 ++- inst/doc/openCR-vignette.pdf |binary man/moving.fit.Rd | 4 +++- man/openCR-package.Rd | 2 +- man/ucare.Rd | 3 ++- vignettes/openCR-vignette.Rmd | 3 ++- 11 files changed, 33 insertions(+), 19 deletions(-)
Title: Manipulate, Validate and Resolve 'IP' Addresses
Description: A toolkit for manipulating, validating and testing 'IP' addresses and
ranges, along with datasets relating to 'IP' addresses. Tools are also provided
to map 'IPv4' blocks to country codes. While it primarily has support for the 'IPv4'
address space, more extensive 'IPv6' support is intended.
Author: Bob Rudis <bob@rud.is> [aut, cre],
Oliver Keyes <ironholds@gmail.com> [aut],
Tim Smith [ctb]
Maintainer: Bob Rudis <bob@rud.is>
Diff between iptools versions 0.6.0 dated 2018-09-24 and 0.6.1 dated 2018-12-09
DESCRIPTION | 10 +++++----- MD5 | 22 ++++++++++++---------- NAMESPACE | 1 + R/cidr.r | 25 ++++++++++++++++++------- R/iptools-package.R | 1 + inst/doc/introduction_to_iptools.html | 14 ++++++-------- inst/doc/iptools_datasets.html | 14 ++++++-------- inst/test |only man/asn_table_to_trie.Rd | 3 +++ man/host_count.Rd | 3 +++ man/ip_to_asn.Rd | 4 ++++ man/ips_in_cidrs.Rd | 6 ++++++ tests/testthat/test-cidr-ops.R |only 13 files changed, 65 insertions(+), 38 deletions(-)
Title: Distance Measure Based Judgment and Learning
Description: Implements various decision support tools related to the Econometrics & Technometrics.
Subroutines include correlation reliability test, Mahalanobis distance measure for outlier detection, combinatorial search (all possible subset regression), non-parametric efficiency analysis measures: DDF (directional distance function), DEA (data envelopment analysis), HDF (hyperbolic distance function), SBM (slack-based measure), and SF (shortage function), benchmarking, Malmquist productivity analysis, risk analysis, technology adoption model, new product target setting, etc.
Author: Dong-Joon Lim, PhD
Maintainer: Dong-Joon Lim <tgno3.com@gmail.com>
Diff between DJL versions 2.7 dated 2018-04-17 and 2.8 dated 2018-12-09
DJL-2.7/DJL/R/DJL-internal.R |only DJL-2.8/DJL/DESCRIPTION | 12 +++--- DJL-2.8/DJL/MD5 | 11 ++--- DJL-2.8/DJL/NEWS | 14 ++++++- DJL-2.8/DJL/R/dm.sbm.R | 75 +++++++++++++++++++-------------------- DJL-2.8/DJL/R/roc.malmquist.R | 24 ++++++++---- DJL-2.8/DJL/man/roc.malmquist.Rd | 2 - 7 files changed, 78 insertions(+), 60 deletions(-)
Title: Tools for Creating Tuning Parameter Values
Description: Many models contain tuning parameters (i.e. parameters that cannot be directly estimated from the data). These tools can be used to define objects for creating, simulating, or validating values for such parameters.
Author: Max Kuhn [aut, cre],
RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>
Diff between dials versions 0.0.1 dated 2018-08-13 and 0.0.2 dated 2018-12-09
DESCRIPTION | 12 MD5 | 63 ++--- NAMESPACE | 27 ++ NEWS.md | 8 R/aaa.R | 2 R/aaa_ranges.R | 4 R/aaa_values.R | 8 R/constructors.R | 17 - R/finalize.R |only R/grids.R | 8 R/merge.R | 88 ++++-- R/misc.R | 22 + R/parameters.R | 390 +++++++++++++++++++++++-------- R/type_sum.R |only README.md | 3 inst/doc/Basics.R | 4 inst/doc/Basics.Rmd | 4 inst/doc/Basics.html | 42 +-- man/finalize.Rd |only man/grid_regular.Rd | 8 man/merge.model_spec.Rd | 2 man/misc_parameters.Rd | 12 man/new_quant_param.Rd | 11 man/para_parameters.Rd | 21 + man/range_validate.Rd | 4 man/text_parameters.Rd |only man/tree_parameters.Rd | 2 man/type_sum.param.Rd |only man/value_validate.Rd | 8 tests/testthat/test_dplyr.R | 2 tests/testthat/test_finalize.R |only tests/testthat/test_printing.R |only tests/testthat/test_ranges.R | 4 tests/testthat/test_values.R | 32 +- vignettes/Basics.Rmd | 4 vignettes/articles/Dials_and_Parsnip.Rmd | 37 +- 36 files changed, 596 insertions(+), 253 deletions(-)
Title: Conway-Maxwell Poisson (COM-Poisson) Regression
Description: Fit Conway-Maxwell Poisson (COM-Poisson or CMP) regression models
to count data (Sellers & Shmueli, 2010) <doi:10.1214/09-AOAS306>. The
package provides functions for model estimation, dispersion testing, and
diagnostics. Zero-inflated CMP regression (Sellers & Raim, 2016)
<doi:10.1016/j.csda.2016.01.007> is also supported.
Author: Kimberly Sellers <kfs7@georgetown.edu>
Thomas Lotze <thomas.lotze@thomaslotze.com>
Andrew Raim <andrew.raim@gmail.com>
Maintainer: Andrew Raim <andrew.raim@gmail.com>
Diff between COMPoissonReg versions 0.6.0 dated 2018-12-02 and 0.6.1 dated 2018-12-09
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- inst/demo-rmd/demo.pdf |binary src/util.cpp | 6 ++++++ src/util.h | 2 ++ src/z-derivs.cpp | 1 + 6 files changed, 18 insertions(+), 9 deletions(-)
Title: 'R Markdown' Format for Scientific and Technical Writing
Description: Scientific and technical article format for the web. 'Radix' articles
feature attractive, reader-friendly typography, flexible layout options
for visualizations, and full support for footnotes and citations.
Author: JJ Allaire [aut, cre],
Rich Iannone [aut],
Yihui Xie [aut],
RStudio, Inc. [cph],
Google LLC [ctb, cph] (https://distill.pub/guide/),
Nick Williams [ctb, cph] (https://wicky.nillia.ms/headroom.js/),
Denis Demchenko [ctb, cph] (https://github.com/lancedikson/bowser),
The Polymer Authors [ctb, cph]
(https://www.webcomponents.org/polyfills/),
Gábor Csárdi [ctb, cph] (whoami)
Maintainer: JJ Allaire <jj@rstudio.com>
Diff between radix versions 0.5 dated 2018-09-17 and 0.6 dated 2018-12-09
DESCRIPTION | 14 +- MD5 | 34 +++--- NEWS.md | 29 +++++ R/collections.R | 54 +++++++--- R/create.R | 3 R/import.R | 1 R/listing.R | 26 ++-- R/metadata.R | 24 +++- R/navigation.R | 4 R/radix_article.R | 47 ++------ R/radix_website.R | 5 R/rstudio.R | 2 R/utils.R | 18 ++- inst/rmarkdown/templates/radix_article/resources/distill.html | 45 +++++++- inst/rmarkdown/templates/radix_article/resources/listing.html | 8 - inst/rmarkdown/templates/radix_article/resources/navbar.html | 12 ++ man/radix_article.Rd | 2 man/radix_website.Rd | 4 18 files changed, 222 insertions(+), 110 deletions(-)
Title: Download and Explore Datasets from UCSC Xena Data Hubs
Description: Download and explore datasets from UCSC Xena data hubs, which are
a collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx, CCLE, and others.
Databases are normalized so they can be combined, linked, filtered, explored and downloaded.
This package is based on 'XenaR' package.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>),
Martin Morgan [aut]
Maintainer: Shixiang Wang <w_shixiang@163.com>
Diff between UCSCXenaTools versions 0.2.5 dated 2018-10-13 and 0.2.6 dated 2018-12-09
UCSCXenaTools-0.2.5/UCSCXenaTools/inst/doc/USCSXenaTools_0.2.0.R |only UCSCXenaTools-0.2.5/UCSCXenaTools/inst/doc/USCSXenaTools_0.2.0.Rmd |only UCSCXenaTools-0.2.5/UCSCXenaTools/inst/doc/USCSXenaTools_0.2.0.html |only UCSCXenaTools-0.2.6/UCSCXenaTools/DESCRIPTION | 8 UCSCXenaTools-0.2.6/UCSCXenaTools/MD5 | 27 UCSCXenaTools-0.2.6/UCSCXenaTools/NAMESPACE | 2 UCSCXenaTools-0.2.6/UCSCXenaTools/NEWS.md | 5 UCSCXenaTools-0.2.6/UCSCXenaTools/R/XenaHub-class.R | 16 UCSCXenaTools-0.2.6/UCSCXenaTools/R/download.R | 122 + UCSCXenaTools-0.2.6/UCSCXenaTools/README.md | 341 ++-- UCSCXenaTools-0.2.6/UCSCXenaTools/data/XenaData.rda |binary UCSCXenaTools-0.2.6/UCSCXenaTools/inst/doc/USCSXenaTools.Rmd | 22 UCSCXenaTools-0.2.6/UCSCXenaTools/inst/doc/USCSXenaTools.html | 834 +++++----- UCSCXenaTools-0.2.6/UCSCXenaTools/man/XenaHub.Rd | 4 UCSCXenaTools-0.2.6/UCSCXenaTools/man/XenaPrepare.Rd | 26 UCSCXenaTools-0.2.6/UCSCXenaTools/vignettes/USCSXenaTools.Rmd | 22 16 files changed, 834 insertions(+), 595 deletions(-)
Title: Directional Penalties for Optimal Matching in Observational
Studies
Description: Improves the balance of optimal matching with near-fine balance by giving penalties on the unbalanced covariates with the unbalanced directions. Many directional penalties can also be viewed as Lagrange multipliers, pushing a matched sample in the direction of satisfying a linear constraint that would not be satisfied without penalization.
Rosenbaum, P.R. (1989). <DOI:10.1080/01621459.1989.10478868>.
Yang, D., Small, D. S., Silber, J. H., and Rosenbaum, P. R. (2012). <DOI:10.1111/j.1541-0420.2011.01691.x>.
Author: Ruoqi Yu
Maintainer: Ruoqi Yu <ruoqiyu@wharton.upenn.edu>
Diff between DiPs versions 0.1.1 dated 2018-11-19 and 0.2.0 dated 2018-12-09
DESCRIPTION | 6 +++--- MD5 | 6 +++--- R/maha_sparse.R | 18 +++++++++--------- R/match.R | 6 ------ 4 files changed, 15 insertions(+), 21 deletions(-)