Title: Nonparametric Estimation and Inference Procedures using
Partitioning-Based Least Squares Regression
Description: Tools for statistical analysis using partitioning-based least squares regression as described in Cattaneo, Farrell and Feng (2019a, <arXiv:1804.04916>) and Cattaneo, Farrell and Feng (2019b, <arXiv:1906.00202>): lsprobust() for nonparametric point estimation of regression functions and their derivatives and for robust bias-corrected (pointwise and uniform) inference; lspkselect() for data-driven selection of the IMSE-optimal number of knots; lsprobust.plot() for regression plots with robust confidence intervals and confidence bands; lsplincom() for estimation and inference for linear combinations of regression functions from different groups.
Author: Matias D. Cattaneo, Max H. Farrell, Yingjie Feng
Maintainer: Yingjie Feng <yingjief@princeton.edu>
Diff between lspartition versions 0.3 dated 2019-06-04 and 0.4 dated 2019-08-08
DESCRIPTION | 12 ++++++------ MD5 | 24 ++++++++++++------------ R/lspartition-package.R | 4 ++-- R/lspfunctions.R | 2 +- R/lspkselect.R | 6 +++--- R/lsplincom.R | 6 +++--- R/lsprobust.R | 6 +++--- R/lsprobust.plot.R | 6 +++--- man/lspartition-package.Rd | 4 ++-- man/lspkselect.Rd | 4 ++-- man/lsplincom.Rd | 4 ++-- man/lsprobust.Rd | 4 ++-- man/lsprobust.plot.Rd | 4 ++-- 13 files changed, 43 insertions(+), 43 deletions(-)
Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language
development platform for in-memory data. It specifies a standardized
language-independent columnar memory format for flat and hierarchical data,
organized for efficient analytic operations on modern hardware. This
package provides an interface to the 'Arrow C++' library.
Author: Romain François [aut] (<https://orcid.org/0000-0002-2444-4226>),
Jeroen Ooms [aut],
Neal Richardson [aut, cre],
Javier Luraschi [ctb],
Jeffrey Wong [ctb],
Apache Arrow [aut, cph]
Maintainer: Neal Richardson <neal@ursalabs.org>
Diff between arrow versions 0.14.1 dated 2019-08-05 and 0.14.1.1 dated 2019-08-08
DESCRIPTION | 6 +- MD5 | 18 +++---- NAMESPACE | 1 R/install-arrow.R | 52 ++++----------------- README.md | 44 +++++++++++------- configure | 53 ++++++++++------------ configure.win | 20 ++++---- tests/testthat/helper-arrow.R | 13 +++++ tests/testthat/test-install-arrow.R | 86 +++++++++++++----------------------- tools/winlibs.R | 14 +++++ 10 files changed, 143 insertions(+), 164 deletions(-)
Title: 'WebSocket' Client Library
Description: Provides a 'WebSocket' client interface for R.
'WebSocket' is a protocol for low-overhead real-time communication:
<https://en.wikipedia.org/wiki/WebSocket>.
Author: Alan Dipert [aut, cre],
Barbara Borges [aut],
Winston Chang [aut],
Joe Cheng [aut],
RStudio [cph],
Peter Thorson [ctb, cph] (WebSocket++ library),
René Nyffenegger [ctb, cph] (Base 64 library),
Micael Hildenborg [ctb, cph] (SHA1 library),
Aladdin Enterprises [cph] (MD5 library),
Bjoern Hoehrmann [ctb, cph] (UTF8 Validation library)
Maintainer: Alan Dipert <alan@rstudio.com>
Diff between websocket versions 1.0.0 dated 2019-06-18 and 1.1.0 dated 2019-08-08
DESCRIPTION | 6 +-- MD5 | 25 ++++++++------- NEWS.md | 4 ++ R/RcppExports.R | 4 +- R/websocket.R | 16 ++++++++-- README.md | 4 +- build/vignette.rds |binary inst/doc/overview.html | 68 +++++++++++++++++++++++-------------------- man/WebSocket.Rd | 7 +++- man/figures |only src/RcppExports.cpp | 9 +++-- src/client.hpp | 4 ++ src/websocket.cpp | 5 ++- tests/testthat/test-client.R | 41 +++++++++++++++++++++++++ 14 files changed, 133 insertions(+), 60 deletions(-)
Title: R Interface to the ClassyFire RESTful API
Description: Access to the ClassyFire RESTful API <http://classyfire.wishartlab.com>. Retrieve existing entity classifications and submit new entities for classification.
Author: Tom Wilson [aut, cre] (<https://orcid.org/0000-0003-3112-4682>),
Jasen Finch [aut]
Maintainer: Tom Wilson <tpw2@aber.ac.uk>
Diff between classyfireR versions 0.2.1 dated 2019-06-28 and 0.2.2 dated 2019-08-08
classyfireR-0.2.1/classyfireR/R/classyfireR.R |only classyfireR-0.2.2/classyfireR/DESCRIPTION | 12 ++--- classyfireR-0.2.2/classyfireR/MD5 | 17 +++---- classyfireR-0.2.2/classyfireR/NEWS.md | 4 + classyfireR-0.2.2/classyfireR/R/get_classification.R | 14 +++--- classyfireR-0.2.2/classyfireR/R/zzz.R | 3 - classyfireR-0.2.2/classyfireR/inst/classyfireR-manual.pdf |binary classyfireR-0.2.2/classyfireR/man/get_classification.Rd | 7 +-- classyfireR-0.2.2/classyfireR/tests/testthat.R | 2 classyfireR-0.2.2/classyfireR/tests/testthat/test-classification.R | 22 ++++++---- 10 files changed, 48 insertions(+), 33 deletions(-)
Title: Tools for Behavior Change Researchers and Professionals
Description: Contains specialised analyses and
visualisation tools for behavior change science.
These facilitate conducting determinant studies
(for example, using confidence interval-based
estimation of relevance, CIBER, or CIBERlite
plots), systematically developing, reporting,
and analysing interventions (for example, using
acyclic behavior change diagrams or ABCDs), and
reporting about intervention effectiveness (for
example, using the Numbers Needed for Change). This
package is especially useful for researchers in
the field of behavior change or health psychology
and to behavior change professionals such as
intervention developers and prevention workers.
Author: Gjalt-Jorn Peters [aut, cre] (<https://orcid.org/0000-0002-0336-9589>),
Rik Crutzen [ctb] (<https://orcid.org/0000-0002-3731-6610>),
Stefan Gruijters [ctb] (<https://orcid.org/0000-0003-0141-0071>)
Maintainer: Gjalt-Jorn Peters <gjalt-jorn@a-bc.eu>
Diff between behaviorchange versions 0.1.0 dated 2019-01-17 and 0.2.0 dated 2019-08-08
DESCRIPTION | 43 MD5 | 52 NAMESPACE | 5 R/CIBER.R | 42 R/abcd.R | 15 R/binaryCIBER.R |only R/dMCD.R |only R/detStructAddVarNames.R | 18 R/lm_rSq_ci.R |only R/vecTxt.R |only README.md | 49 build/partial.rdb |only build/vignette.rds |binary inst/doc/abcd-laagdrempelige_nederlandse_uitleg.R | 26 inst/doc/abcd-laagdrempelige_nederlandse_uitleg.Rmd | 28 inst/doc/abcd-laagdrempelige_nederlandse_uitleg.html | 2647 +++++++++++++++++-- inst/doc/abcd.Rmd | 68 inst/doc/abcd.html | 373 ++ inst/doc/matrix-van-aspecten-van-de-psychologie.R |only inst/doc/matrix-van-aspecten-van-de-psychologie.Rmd |only inst/doc/matrix-van-aspecten-van-de-psychologie.html |only man/CIBER.Rd | 59 man/abcd.Rd | 8 man/behaviorchange-package.Rd | 12 man/dMCD.Rd |only man/detStructPreprocessing.Rd | 18 man/lm_rSq_ci.Rd |only man/vecTxt.Rd |only vignettes/abcd-example-1.png |only vignettes/abcd-example-2.png |only vignettes/abcd-example-3.png |only vignettes/abcd-laagdrempelige_nederlandse_uitleg.Rmd | 28 vignettes/abcd.Rmd | 68 vignettes/abcd_specs_dutch_xtc.png |only vignettes/matrix-van-aspecten-van-de-psychologie.Rmd |only 35 files changed, 3252 insertions(+), 307 deletions(-)
More information about behaviorchange at CRAN
Permanent link
Title: Stepped Wedge Cluster Randomized Trial (SW CRT) Design
Description: A set of tools for examining the design and analysis aspects of stepped wedge cluster randomized trials (SW CRT) based on a repeated cross-sectional sampling scheme (Hussey MA and Hughes JP (2007) Contemporary Clinical Trials 28:182-191. <doi:10.1016/j.cct.2006.05.007>).
Author: Jim Hughes, Navneet R. Hakhu, and Emily Voldal
Maintainer: Jim Hughes <jphughes@uw.edu>
Diff between swCRTdesign versions 2.2 dated 2018-02-12 and 3.0 dated 2019-08-08
DESCRIPTION | 10 MD5 | 22 - R/swCRTdesign-internal.R | 254 ++++++------- R/swDsn.R | 87 ++-- R/swPlot.R | 44 +- R/swPwr.R | 325 ++++++++++------ R/swSim.R | 871 +++++++++++++++++++++++++-------------------- man/swCRTdesign-package.Rd | 8 man/swDsn.Rd | 220 +++++------ man/swPlot.Rd | 252 ++++++------- man/swPwr.Rd | 413 ++++++++++++--------- man/swSim.Rd | 251 ++++++------ 12 files changed, 1526 insertions(+), 1231 deletions(-)
Title: Analysis of MHC Data in Non-Model Species
Description: Ten tools for analysis of major histocompatibility complex (MHC) data in non-
model species. The functions are tailored for amplicon data sets that have been
filtered using the 'dada2' method (for more information visit
<https://benjjneb.github.io/dada2>), but even other data sets can be analysed,
if the data tables are formatted according to the description in each function.
The ReplMatch() function matches replicates in data sets in order to evaluate
genotyping success.
The GetReplTable() and GetReplStats() functions perform such an evaluation.
The HpltFind() function infers putative haplotypes from families in the data
set.
The GetHpltTable() and GetHpltStats() functions evaluate the accuracy of
the haplotype inference.
The PapaDiv() function compares parent pairs in the data set and calculate their
joint MHC diversity, taking into account sequence variants that occur in both
parents.
The CalcPdist() function calculates the p-distances from pairwise comparisons of all
sequences in a data set, and mean p-distances of all pairwise comparisons within each
sample in a data set. The function includes the options to specify which codons to
compare and to calculate amino acid p-distances.
The CreateFas() function creates a fasta file with all the sequences in the data
set.
The CreateSamplesFas() function creates a fasta file for each sample in the data
set.
Author: Jacob Roved [aut, cre]
Maintainer: Jacob Roved <jacob.roved@biol.lu.se>
Diff between MHCtools versions 1.1.1 dated 2019-02-04 and 1.2.0 dated 2019-08-08
MHCtools-1.1.1/MHCtools/R/MeanPdist_func_20171023.R |only MHCtools-1.1.1/MHCtools/man/MeanPdist.Rd |only MHCtools-1.2.0/MHCtools/DESCRIPTION | 13 +++++++------ MHCtools-1.2.0/MHCtools/MD5 | 14 +++++++------- MHCtools-1.2.0/MHCtools/NAMESPACE | 2 +- MHCtools-1.2.0/MHCtools/NEWS.md | 7 +++++++ MHCtools-1.2.0/MHCtools/R/CalcPdist_func_20171023.R |only MHCtools-1.2.0/MHCtools/R/ReplMatch_func_20170924.R | 2 +- MHCtools-1.2.0/MHCtools/README.md | 8 +++++--- MHCtools-1.2.0/MHCtools/man/CalcPdist.Rd |only 10 files changed, 28 insertions(+), 18 deletions(-)
Title: Multivariate Elastic Net Regression
Description: Implements high-dimensional multivariate regression by stacked generalisation (Wolpert 1992 <doi:10.1016/S0893-6080(05)80023-1>). For positively correlated outcomes, a single multivariate regression is typically more predictive than multiple univariate regressions. Includes functions for model fitting, extracting coefficients, outcome prediction, and performance measurement.
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <a.rauschenberger@vumc.nl>
Diff between joinet versions 0.0.1 dated 2019-08-03 and 0.0.2 dated 2019-08-08
DESCRIPTION | 14 +++--- MD5 | 32 +++++++------- NEWS.md | 7 ++- R/functions.R | 82 +++++++++++++++++++++++++++++-------- README.md | 8 ++- inst/doc/article.Rmd | 6 -- inst/doc/article.html | 6 +- inst/doc/vignette.R | 63 ++++++++++++++++++++++++++-- inst/doc/vignette.Rmd | 108 ++++++++++++++++++++++++++++++++++++++++++------- inst/doc/vignette.html | 91 +++++++++++++++++++++++++++++++++-------- man/coef.joinet.Rd | 4 - man/cv.joinet.Rd | 49 ++++++++++++++++++++-- man/joinet.Rd | 13 ++++- man/predict.joinet.Rd | 10 +--- man/weights.joinet.Rd | 4 - vignettes/article.Rmd | 6 -- vignettes/vignette.Rmd | 108 ++++++++++++++++++++++++++++++++++++++++++------- 17 files changed, 488 insertions(+), 123 deletions(-)
Title: Bayesian Latent Variable Analysis
Description: Fit a variety of Bayesian latent variable models, including confirmatory
factor analysis, structural equation models, and latent growth curve models.
Author: Edgar Merkle [aut, cre] (<https://orcid.org/0000-0001-7158-0653>),
Yves Rosseel [aut],
Ben Goodrich [aut],
Mauricio Garnier-Villarreal [ctb]
(<https://orcid.org/0000-0002-2951-6647>, R/ctr_bayes_fit.R),
Terrence D. Jorgensen [ctb] (<https://orcid.org/0000-0001-5111-6773>,
R/ctr_bayes_fit.R, R/ctr_ppmc.R),
Huub Hoofs [ctb] (R/ctr_bayes_fit.R),
Rens van de Schoot [ctb] (R/ctr_bayes_fit.R)
Maintainer: Edgar Merkle <merklee@missouri.edu>
Diff between blavaan versions 0.3-5 dated 2019-08-03 and 0.3-6 dated 2019-08-08
DESCRIPTION | 6 +++--- MD5 | 6 +++--- NEWS | 5 ++++- R/blav_object_methods.R | 8 ++++---- 4 files changed, 14 insertions(+), 11 deletions(-)
Title: Amazon Web Services Request Signatures
Description: Generates version 2 and version 4 request signatures for Amazon Web Services ('AWS') <https://aws.amazon.com/> Application Programming Interfaces ('APIs') and provides a mechanism for retrieving credentials from environment variables, 'AWS' credentials files, and 'EC2' instance metadata. For use on 'EC2' instances, users will need to install the suggested package 'aws.ec2metadata' <https://cran.r-project.org/package=aws.ec2metadata>.
Author: Thomas J. Leeper [aut] (<https://orcid.org/0000-0003-4097-6326>),
Jonathan Stott [cre, aut]
Maintainer: Jonathan Stott <jonathan.stott@magairports.com>
Diff between aws.signature versions 0.5.0 dated 2019-05-08 and 0.5.2 dated 2019-08-08
DESCRIPTION | 8 +-- MD5 | 14 +++--- NEWS.md | 9 ++++ R/locate_credentials.R | 4 + R/read_credentials.R | 65 +++++++++++++++++++++++--------- R/v4.R | 2 man/signature_v4_auth.Rd | 2 tests/testthat/tests-read_credentials.R | 21 ++++++++++ 8 files changed, 95 insertions(+), 30 deletions(-)
Title: Analysis of Symbolic Data
Description: Symbolic data analysis methods: importing/exporting data from ASSO XML Files, distance calculation for symbolic data (Ichino-Yaguchi, de Carvalho measure), zoom star plot, 3d interval plot, multidimensional scaling for symbolic interval data, dynamic clustering based on distance matrix, HINoV method for symbolic data, Ichino's feature selection method, principal component analysis for symbolic interval data, decision trees for symbolic data based on optimal split with bagging, boosting and random forest approach (+visualization), kernel discriminant analysis for symbolic data, Kohonen's self-organizing maps for symbolic data, replication and profiling, artificial symbolic data generation.
(Milligan, G.W., Cooper, M.C. (1985) <doi:10.1007/BF02294245>,
Breiman, L. (1996), <doi:10.1007/BF00058655>,
Hubert, L., Arabie, P. (1985), <doi:10.1007%2FBF01908075>,
Ichino, M., & Yaguchi, H. (1994), <doi:10.1109/21.286391>,
Rand, W.M. (1971) <doi:10.1080/01621459.1971.10482356>,
Calinski, T., Harabasz, J. (1974) <doi:10.1080/03610927408827101>,
Breckenridge, J.N. (2000) <doi:10.1207/S15327906MBR3502_5>,
Groenen, P.J.F, Winsberg, S., Rodriguez, O., Diday, E. (2006) <doi:10.1016/j.csda.2006.04.003>,
Walesiak, M., Dudek, A. (2008) <doi:10.1007/978-3-540-78246-9_11>,
Dudek, A. (2007), <doi:10.1007/978-3-540-70981-7_4>).
Author: Andrzej Dudek, Marcin Pelka <marcin.pelka@ue.wroc.pl>, Justyna Wilk<justyna.wilk@ue.wroc.pl> (to 2017-09-20), Marek Walesiak <Marek.Walesiak@ue.wroc.pl> (from 2018-02-01)
Maintainer: Andrzej Dudek <andrzej.dudek@ue.wroc.pl>
Diff between symbolicDA versions 0.6-1 dated 2019-05-09 and 0.6-2 dated 2019-08-08
symbolicDA-0.6-1/symbolicDA/R/dist.SDA.r |only symbolicDA-0.6-2/symbolicDA/DESCRIPTION | 8 ++++---- symbolicDA-0.6-2/symbolicDA/MD5 | 16 ++++++++-------- symbolicDA-0.6-2/symbolicDA/R/dist_SDA.r |only symbolicDA-0.6-2/symbolicDA/man/RSDA2SymbolicDA.Rd | 5 +++-- symbolicDA-0.6-2/symbolicDA/man/decisionTree.SDA.rd | 3 ++- symbolicDA-0.6-2/symbolicDA/man/dist_SDA.rd | 5 +++-- symbolicDA-0.6-2/symbolicDA/man/generate.SO.rd | 3 ++- symbolicDA-0.6-2/symbolicDA/man/plot3dInterval.rd | 2 +- symbolicDA-0.6-2/symbolicDA/man/symbolic.object.rd | 2 +- 10 files changed, 24 insertions(+), 20 deletions(-)
Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization and Stochastic dominance. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>
Diff between NNS versions 0.4.3 dated 2019-07-19 and 0.4.4 dated 2019-08-08
DESCRIPTION | 8 - MD5 | 66 +++++----- R/ANOVA.R | 2 R/ARMA.R | 10 - R/ARMA_optim.R | 27 ++-- R/Binary_ANOVA.R | 8 - R/Boost.R | 44 +++--- R/Correlation.R | 3 R/Dependence.R | 67 +++++++++- R/LPM_UPM_VaR.R | 12 - R/Multivariate_Regression.R | 4 R/NNS_Distance.R | 2 R/Normalization.R | 18 +- R/Partial_Moments.R | 49 ++----- R/Regression.R | 123 ++++++++----------- R/Stack.R | 93 ++++++++++++-- R/Uni_Causation.R | 5 inst/doc/NNSvignette_Classification.R | 4 inst/doc/NNSvignette_Classification.Rmd | 12 + inst/doc/NNSvignette_Classification.html | 15 +- inst/doc/NNSvignette_Clustering_and_Regression.R | 2 inst/doc/NNSvignette_Clustering_and_Regression.Rmd | 4 inst/doc/NNSvignette_Clustering_and_Regression.html | 77 ++++++++++- inst/doc/NNSvignette_Correlation_and_Dependence.R | 2 inst/doc/NNSvignette_Correlation_and_Dependence.Rmd | 2 inst/doc/NNSvignette_Correlation_and_Dependence.html | 2 man/NNS.ARMA.optim.Rd | 6 man/NNS.boost.Rd | 4 man/NNS.cor.Rd | 5 man/NNS.dep.Rd | 53 ++++++++ man/NNS.norm.Rd | 6 vignettes/NNSvignette_Classification.Rmd | 12 + vignettes/NNSvignette_Clustering_and_Regression.Rmd | 4 vignettes/NNSvignette_Correlation_and_Dependence.Rmd | 2 34 files changed, 499 insertions(+), 254 deletions(-)
Title: Airborne LiDAR Data Manipulation and Visualization for Forestry
Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data
manipulation and visualization. Read/write 'las' and 'laz' files, computation
of metrics in area based approach, point filtering, artificial point reduction,
classification from geographic data, normalization, individual tree segmentation
and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph],
David Auty [aut, ctb] (Reviews the documentation),
Florian De Boissieu [ctb] (Fixed bugs and improved catalog features),
Andrew Sánchez Meador [ctb] (Implemented lassnags)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>
Diff between lidR versions 2.1.1 dated 2019-08-06 and 2.1.2 dated 2019-08-08
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- NEWS.md | 15 ++++++++------- R/utils_delaunay.R | 5 +++-- inst/doc/lidR-computation-speed-LAScatalog.html | 2 +- tests/testthat/Rplots.pdf |binary 6 files changed, 21 insertions(+), 19 deletions(-)
Title: Interface to the arXiv API
Description: An interface to the API for 'arXiv'
(<https://arxiv.org>), a repository of electronic preprints for
computer science, mathematics, physics, quantitative biology,
quantitative finance, and statistics.
Author: Karthik Ram [aut] (<https://orcid.org/0000-0002-0233-1757>),
Karl Broman [aut, cre] (<https://orcid.org/0000-0002-4914-6671>)
Maintainer: Karl Broman <broman@wisc.edu>
Diff between aRxiv versions 0.5.16 dated 2017-04-28 and 0.5.19 dated 2019-08-08
DESCRIPTION | 21 +- MD5 | 38 +-- NEWS | 26 ++ R/arxiv_cats-data.R | 6 R/arxiv_count.R | 8 R/arxiv_open.R | 8 R/arxiv_search.R | 58 ++--- R/query_terms-data.R | 6 README.md | 32 ++- build/vignette.rds |binary data/arxiv_cats.RData |binary data/query_terms.RData |binary inst/doc/aRxiv.R | 10 inst/doc/aRxiv.Rmd | 18 - inst/doc/aRxiv.html | 424 ++++++++++++++++++++++++++++++++---------- man/arxiv_count.Rd | 4 man/arxiv_open.Rd | 6 man/arxiv_search.Rd | 26 +- tests/testthat/test-batches.R | 6 vignettes/aRxiv.Rmd | 18 - 20 files changed, 501 insertions(+), 214 deletions(-)
Title: Modelling Functions that Work with the Pipe
Description: Functions for modelling that help you seamlessly
integrate modelling into a pipeline of data manipulation and
visualisation.
Author: Hadley Wickham [aut, cre],
RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>
Diff between modelr versions 0.1.4 dated 2019-02-18 and 0.1.5 dated 2019-08-08
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- NEWS.md | 4 ++++ R/data-grid.R | 23 ++++++++++++++++++----- R/formulas.R | 4 ++-- README.md | 49 +++++++++++++++++++++++++------------------------ man/data_grid.Rd | 5 +++-- man/fit_with.Rd | 4 ++-- 8 files changed, 65 insertions(+), 46 deletions(-)
Title: Earth Observation Data Cubes from Satellite Image Collections
Description: Processing collections of Earth observation images as on-demand multispectral, multitemporal raster data cubes. Users
define cubes by spatiotemporal extent, resolution, and spatial reference system and let 'gdalcubes' automatically apply cropping, reprojection, and
resampling using the 'Geospatial Data Abstraction Library' ('GDAL'). Implemented functions on data cubes include reduction over space and time,
applying arithmetic expressions on pixel band values, moving window aggregates over time, filtering by space, time, bands, and predicates on pixel values,
exporting data cubes as 'netCDF' or 'GeoTIFF' files, and plotting. The package implements lazy evaluation and
multithreading. All computational parts are implemented in C++, linking to the 'GDAL', 'netCDF', 'CURL', and 'SQLite' libraries.
See Appel and Pebesma (2019) <doi:10.3390/data4030092> for further details.
Author: Marius Appel [aut, cre] (<https://orcid.org/0000-0001-5281-3896>),
Edzer Pebesma [ctb] (<https://orcid.org/0000-0001-8049-7069>),
Roger Bivand [ctb],
Lewis Van Winkle [cph],
Ole Christian Eidheim [cph],
Niels Lohmann [cph],
Howard Hinnant [cph],
Adrian Colomitchi [cph],
Florian Dang [cph],
Paul Thompson [cph],
Tomasz Kamiński [cph]
Maintainer: Marius Appel <marius.appel@uni-muenster.de>
Diff between gdalcubes versions 0.1.0 dated 2019-05-24 and 0.2.0 dated 2019-08-08
gdalcubes-0.1.0/gdalcubes/R/filter_predicate.R |only gdalcubes-0.1.0/gdalcubes/README.md |only gdalcubes-0.1.0/gdalcubes/inst/doc/getting_started.R |only gdalcubes-0.1.0/gdalcubes/inst/doc/getting_started.Rmd |only gdalcubes-0.1.0/gdalcubes/inst/doc/getting_started.html |only gdalcubes-0.1.0/gdalcubes/man/filter_predicate.Rd |only gdalcubes-0.1.0/gdalcubes/src/gdalcubes/src/filter_predicate.cpp |only gdalcubes-0.1.0/gdalcubes/src/gdalcubes/src/filter_predicate.h |only gdalcubes-0.1.0/gdalcubes/vignettes/getting_started.Rmd |only gdalcubes-0.2.0/gdalcubes/DESCRIPTION | 28 gdalcubes-0.2.0/gdalcubes/MD5 | 196 +- gdalcubes-0.2.0/gdalcubes/NAMESPACE | 13 gdalcubes-0.2.0/gdalcubes/NEWS.md | 34 gdalcubes-0.2.0/gdalcubes/R/RcppExports.R | 40 gdalcubes-0.2.0/gdalcubes/R/animate.R |only gdalcubes-0.2.0/gdalcubes/R/apply_pixel.R | 95 + gdalcubes-0.2.0/gdalcubes/R/chunk_apply.R | 8 gdalcubes-0.2.0/gdalcubes/R/coerce.R | 63 gdalcubes-0.2.0/gdalcubes/R/config.R | 76 + gdalcubes-0.2.0/gdalcubes/R/cube.R | 343 ++++- gdalcubes-0.2.0/gdalcubes/R/fill_time.R |only gdalcubes-0.2.0/gdalcubes/R/filter_pixel.R |only gdalcubes-0.2.0/gdalcubes/R/gdalcubes.R | 21 gdalcubes-0.2.0/gdalcubes/R/image_collection.R | 33 gdalcubes-0.2.0/gdalcubes/R/plot.R | 34 gdalcubes-0.2.0/gdalcubes/R/reduce.R | 109 + gdalcubes-0.2.0/gdalcubes/R/view.R | 2 gdalcubes-0.2.0/gdalcubes/R/zzz.R | 4 gdalcubes-0.2.0/gdalcubes/build/vignette.rds |binary gdalcubes-0.2.0/gdalcubes/configure | 41 gdalcubes-0.2.0/gdalcubes/configure.ac | 27 gdalcubes-0.2.0/gdalcubes/inst/CITATION |only gdalcubes-0.2.0/gdalcubes/inst/doc/MODIS.R |only gdalcubes-0.2.0/gdalcubes/inst/doc/MODIS.Rmd |only gdalcubes-0.2.0/gdalcubes/inst/doc/MODIS.html |only gdalcubes-0.2.0/gdalcubes/inst/formats/MxD13Q1.json |only gdalcubes-0.2.0/gdalcubes/inst/formats/Sentinel2_L1C.json | 13 gdalcubes-0.2.0/gdalcubes/inst/formats/Sentinel2_L1C_AWS.json | 13 gdalcubes-0.2.0/gdalcubes/inst/formats/Sentinel2_L2A.json | 21 gdalcubes-0.2.0/gdalcubes/inst/formats/Sentinel2_L2A_THEIA.json |only gdalcubes-0.2.0/gdalcubes/man/add_images.Rd |only gdalcubes-0.2.0/gdalcubes/man/animate.Rd |only gdalcubes-0.2.0/gdalcubes/man/apply_pixel.cube.Rd | 22 gdalcubes-0.2.0/gdalcubes/man/as_array.Rd |only gdalcubes-0.2.0/gdalcubes/man/create_image_collection.Rd | 4 gdalcubes-0.2.0/gdalcubes/man/dimensions.Rd | 5 gdalcubes-0.2.0/gdalcubes/man/fill_time.Rd |only gdalcubes-0.2.0/gdalcubes/man/filter_pixel.Rd |only gdalcubes-0.2.0/gdalcubes/man/gdalcubes.Rd | 11 gdalcubes-0.2.0/gdalcubes/man/gdalcubes_debug_output.Rd | 3 gdalcubes-0.2.0/gdalcubes/man/gdalcubes_options.Rd |only gdalcubes-0.2.0/gdalcubes/man/gdalcubes_set_ncdf_compression.Rd | 3 gdalcubes-0.2.0/gdalcubes/man/gdalcubes_set_threads.Rd | 3 gdalcubes-0.2.0/gdalcubes/man/gdalcubes_use_cache.Rd | 3 gdalcubes-0.2.0/gdalcubes/man/image_mask.Rd |only gdalcubes-0.2.0/gdalcubes/man/pack_minmax.Rd |only gdalcubes-0.2.0/gdalcubes/man/raster_cube.Rd | 15 gdalcubes-0.2.0/gdalcubes/man/reduce_time.cube.Rd | 26 gdalcubes-0.2.0/gdalcubes/man/write_ncdf.Rd | 31 gdalcubes-0.2.0/gdalcubes/man/write_tif.Rd |only gdalcubes-0.2.0/gdalcubes/src/Makevars.in | 5 gdalcubes-0.2.0/gdalcubes/src/Makevars.win | 7 gdalcubes-0.2.0/gdalcubes/src/RcppExports.cpp | 128 + gdalcubes-0.2.0/gdalcubes/src/gdalcubes.cpp | 411 +++++- gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/apply_pixel.cpp | 28 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/apply_pixel.h | 24 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/build_info.h | 8 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/collection_format.h | 4 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/config.cpp | 4 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/config.h | 10 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/cube.cpp | 665 +++++++++- gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/cube.h | 180 ++ gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/cube_factory.cpp | 55 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/cube_factory.h | 5 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/datetime.h | 4 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/dummy.cpp | 4 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/dummy.h | 26 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/error.cpp | 4 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/error.h | 4 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/filesystem.h | 4 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/fill_time.cpp |only gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/fill_time.h |only gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/filter_pixel.cpp |only gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/filter_pixel.h |only gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/gdalcubes.cpp | 229 +-- gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/gdalcubes.h | 5 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/image_collection.cpp | 295 +++- gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/image_collection.h | 26 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/image_collection_cube.cpp | 555 +++++--- gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/image_collection_cube.h | 153 ++ gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/image_collection_ops.cpp |only gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/image_collection_ops.h |only gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/join_bands.cpp | 4 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/join_bands.h | 4 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/progress.h | 4 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/reduce.cpp | 6 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/reduce.h | 4 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/reduce_space.cpp | 5 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/reduce_space.h | 4 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/reduce_time.cpp | 5 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/reduce_time.h | 3 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/select_bands.cpp | 4 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/select_bands.h | 4 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/stream.cpp | 41 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/stream.h | 12 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/stream_apply_pixel.cpp |only gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/stream_apply_pixel.h |only gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/stream_reduce_time.cpp |only gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/stream_reduce_time.h |only gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/swarm.cpp | 4 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/swarm.h | 10 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/timer.h | 6 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/utils.h | 15 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/view.cpp | 4 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/view.h | 309 ++-- gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/window_time.cpp | 6 gdalcubes-0.2.0/gdalcubes/src/gdalcubes/src/window_time.h | 63 gdalcubes-0.2.0/gdalcubes/vignettes/MODIS.Rmd |only 118 files changed, 3714 insertions(+), 986 deletions(-)
Title: Dynamic Generation and Quality Checks of Formula Objects
Description: Many statistical models and analyses in R are implemented through formula objects. The formulaic package creates a unified approach for programmatically and dynamically generating formula objects. Users may specify the outcome and inputs of a model directly, search for variables to include based upon naming patterns, incorporate interactions, and identify variables to exclude. A wide range of quality checks are implemented to identify issues such as misspecified variables, duplication, a lack of contrast in the inputs, and a large number of levels in categorical data. Variables that do not meet these quality checks can be automatically excluded from the model. These issues are documented and reported in a manner that provides greater accountability and useful information to guide an investigation of the data.
Author: David Shilane [aut],
Caffrey Lee [ctb],
Zichen Huang [ctb],
Anderson Nelson [ctb, cre]
Maintainer: Anderson Nelson <an2908@columbia.edu>
Diff between formulaic versions 0.0.1 dated 2019-08-05 and 0.0.2 dated 2019-08-08
DESCRIPTION | 12 ++-- MD5 | 27 ++++----- NAMESPACE | 1 NEWS.md |only R/create.formula.R | 62 ++++++++++++--------- R/snack.dat.R | 8 +- README.md | 9 ++- inst/doc/Introduction-to-formulaic.R | 8 +- inst/doc/Introduction-to-formulaic.Rmd | 61 ++++++++++++--------- inst/doc/Introduction-to-formulaic.html | 92 ++++++++++++++++---------------- man/add.backtick.Rd | 6 +- man/create.formula.Rd | 21 +++---- man/reduce.existing.formula.Rd | 9 +-- man/snack.dat.Rd | 8 +- vignettes/Introduction-to-formulaic.Rmd | 61 ++++++++++++--------- 15 files changed, 215 insertions(+), 170 deletions(-)
Title: Event Detection Framework
Description: Detect / classify events in time-series data. Combines multiple well-known R packages like 'forecast' to deliver an easily configurable tool for event detection.
Author: Frederik Rehbach [aut],
Steffen Moritz [aut] (<https://orcid.org/0000-0002-0085-1804>),
Margarita Rebolledo [aut, cre],
Sowmya Chandrasekaran [aut]
Maintainer: Margarita Rebolledo <tarigarma2@gmail.com>
Diff between EventDetectR versions 0.3.1 dated 2018-10-26 and 0.3.3 dated 2019-08-08
DESCRIPTION | 29 +++++++------ MD5 | 40 +++++++++++------- NAMESPACE | 5 ++ NEWS | 1 R/EventDetectR-package.R | 1 R/bedAlgo.R | 49 +++++++++++++++++----- R/buildEDModel.R | 65 +++++++++++++++++------------- R/detectEvents.R | 47 ++++++++++++++++++++- R/detectionQuality.R |only R/eventClassification.R | 10 ++-- R/getDefaultControlLists.R | 4 + R/model_Forecast.R | 12 ++--- R/preparator_imputeTS.R | 20 ++++----- R/simulateEvents.R |only man/bedAlgo.Rd | 13 ++++-- man/buildEDModel.Rd | 6 +- man/figures |only man/plot.edObject.Rd |only man/qualityStatistics.Rd |only man/simulateEvents.Rd |only tests/testthat/test-buildModel.R | 5 ++ tests/testthat/test-detectionQuality.R |only tests/testthat/test-eventClassification.R | 3 - tests/testthat/test-plots.R |only 24 files changed, 211 insertions(+), 99 deletions(-)
Title: Reading Bibliometric Data from Lattes Platform
Description: A simple API for downloading and reading xml data directly from Lattes <http://lattes.cnpq.br/>.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>
Diff between GetLattesData versions 1.3 dated 2019-04-09 and 1.3.1 dated 2019-08-08
DESCRIPTION | 8 MD5 | 12 - NEWS.md | 5 R/gld_get_lattes_data_from_zip.R | 13 + R/gld_read_lattes_zip.R | 26 ++ build/vignette.rds |binary inst/doc/gld_vignette-ReadLattes.html | 370 ++++++++++++++++++++++++++-------- 7 files changed, 342 insertions(+), 92 deletions(-)
More information about ClickClustCont at CRAN
Permanent link
Title: Significance Brackets for 'ggplot2'
Description: Enrich your 'ggplots' with group-wise comparisons.
This package provides an easy way to indicate if two groups are significantly different.
Commonly this is shown by a bracket on top connecting the groups of interest which itself is annotated with the level of significance (NS, *, **, ***).
The package provides a single layer (geom_signif()) that takes the groups for comparison and the test (t.test(), wilcox.text() etc.) as arguments and adds the annotation
to the plot.
Author: Constantin Ahlmann-Eltze [aut, cre]
Maintainer: Constantin Ahlmann-Eltze <artjom31415@googlemail.com>
Diff between ggsignif versions 0.5.0 dated 2019-02-20 and 0.6.0 dated 2019-08-08
ggsignif-0.5.0/ggsignif/tools/README-cache |only ggsignif-0.6.0/ggsignif/DESCRIPTION | 6 ggsignif-0.6.0/ggsignif/MD5 | 33 -- ggsignif-0.6.0/ggsignif/NEWS.md | 5 ggsignif-0.6.0/ggsignif/R/significance_annotation.R | 36 +- ggsignif-0.6.0/ggsignif/R/util.R |only ggsignif-0.6.0/ggsignif/README.md | 2 ggsignif-0.6.0/ggsignif/build/vignette.rds |binary ggsignif-0.6.0/ggsignif/inst/doc/intro.html | 327 ++++++++++++++++---- ggsignif-0.6.0/ggsignif/man/stat_signif.Rd | 11 ggsignif-0.6.0/ggsignif/tests/testthat/Rplots.pdf |binary 11 files changed, 324 insertions(+), 96 deletions(-)
Title: Tidy Verbs for Dealing with Genomic Data Frames
Description: Handle genomic data within data frames just as you would with 'GRanges'.
This packages provides method to deal with genomic intervals the "tidy-way" which makes
it simpler to integrate in the the general data munging process. The API is inspired by the
popular 'bedtools' and the genome_join() method from the 'fuzzyjoin' package.
Author: Constantin Ahlmann-Eltze [aut, cre]
(<https://orcid.org/0000-0002-3762-068X>),
Stan Developers [cph] (Code from the Stan Math library is reused in
'cluster_interval.cpp'),
David Robinson [cph] (Code from the fuzzyjoin package is reused)
Maintainer: Constantin Ahlmann-Eltze <artjom31415@googlemail.com>
Diff between tidygenomics versions 0.1.1 dated 2019-05-27 and 0.1.2 dated 2019-08-08
DESCRIPTION | 12 +++++++----- MD5 | 14 +++++++------- NEWS.md | 5 +++++ R/intersect.R | 6 +++--- R/join_closest.R | 7 ++++--- R/subtract.R | 6 +++--- build/vignette.rds |binary inst/doc/intro.html | 4 ++-- 8 files changed, 31 insertions(+), 23 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-08-01 0.1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-08-01 0.1.4
Title: Species-Habitat Associations
Description: Analyse species-habitat associations in R. Therefore, information about the
location of the species is needed and about the environmental conditions. To test
for significance habitat associations, one of the two components is randomized.
Methods are mainly based on Plotkin et al. (2000) <doi:10.1006/jtbi.2000.2158> and
Harms et al. (2001) <doi:10.1111/j.1365-2745.2001.00615.x>.
Author: Maximillian H.K. Hesselbarth [aut, cre]
(<https://orcid.org/0000-0003-1125-9918>),
Marco Sciaini [aut] (<https://orcid.org/0000-0002-3042-5435>)
Maintainer: Maximillian H.K. Hesselbarth <maximilian.hesselbarth@uni-goettingen.de>
Diff between shar versions 0.5 dated 2019-07-09 and 1.0 dated 2019-08-08
shar-0.5/shar/R/reconstruct_marks.R |only shar-0.5/shar/R/reconstruct_pattern.R |only shar-0.5/shar/man/reconstruct_marks.Rd |only shar-0.5/shar/man/reconstruct_pattern.Rd |only shar-0.5/shar/tests/testthat/test-reconstruct_marks.R |only shar-0.5/shar/tests/testthat/test-reconstruct_pattern.R |only shar-1.0/shar/DESCRIPTION | 12 shar-1.0/shar/MD5 | 108 ++--- shar-1.0/shar/NAMESPACE | 10 shar-1.0/shar/NEWS.md | 11 shar-1.0/shar/R/calculate_energy.R | 197 +++++---- shar-1.0/shar/R/estimate_pcf_fast.R | 86 ++-- shar-1.0/shar/R/fit_point_process.R | 60 +- shar-1.0/shar/R/plot_energy.R |only shar-1.0/shar/R/plot_randomized_pattern.R | 48 +- shar-1.0/shar/R/plot_randomized_raster.R | 33 + shar-1.0/shar/R/print.rd_mar.R |only shar-1.0/shar/R/print.rd_pat.R |only shar-1.0/shar/R/print.rd_ras.R |only shar-1.0/shar/R/randomize_raster.R | 55 +- shar-1.0/shar/R/reconstruct_pattern_cluster.R |only shar-1.0/shar/R/reconstruct_pattern_hetero.R |only shar-1.0/shar/R/reconstruct_pattern_homo.R |only shar-1.0/shar/R/reconstruct_pattern_marks.R |only shar-1.0/shar/R/results_habitat_association.R | 37 + shar-1.0/shar/R/translate_raster.R | 54 +- shar-1.0/shar/build/vignette.rds |binary shar-1.0/shar/data/gamma_test.rda |binary shar-1.0/shar/data/landscape.rda |binary shar-1.0/shar/data/random_walk.rda |binary shar-1.0/shar/data/reconstruction.rda |binary shar-1.0/shar/data/species_a.rda |binary shar-1.0/shar/data/species_b.rda |binary shar-1.0/shar/data/torus_trans.rda |binary shar-1.0/shar/inst/doc/get_started.R | 2 shar-1.0/shar/inst/doc/get_started.Rmd | 2 shar-1.0/shar/inst/doc/get_started.html | 26 - shar-1.0/shar/man/calculate_energy.Rd | 8 shar-1.0/shar/man/figures/README-plot-random_pattern-1.png |binary shar-1.0/shar/man/figures/README-plot-random_pattern-2.png |binary shar-1.0/shar/man/figures/README-plot_habitat-random-1.png |binary shar-1.0/shar/man/fit_point_process.Rd | 2 shar-1.0/shar/man/plot_energy.Rd |only shar-1.0/shar/man/plot_randomized_pattern.Rd | 3 shar-1.0/shar/man/plot_randomized_raster.Rd | 2 shar-1.0/shar/man/print.rd_mar.Rd |only shar-1.0/shar/man/print.rd_pat.Rd |only shar-1.0/shar/man/print.rd_ras.Rd |only shar-1.0/shar/man/reconstruct_pattern_cluster.Rd |only shar-1.0/shar/man/reconstruct_pattern_hetero.Rd |only shar-1.0/shar/man/reconstruct_pattern_homo.Rd |only shar-1.0/shar/man/reconstruct_pattern_marks.Rd |only shar-1.0/shar/man/results_habitat_association.Rd | 4 shar-1.0/shar/tests/testthat/Rplots.pdf |binary shar-1.0/shar/tests/testthat/test-calculate_energy.R | 8 shar-1.0/shar/tests/testthat/test-fit-point_process.R | 211 +++++----- shar-1.0/shar/tests/testthat/test-plot_energy.R |only shar-1.0/shar/tests/testthat/test-plot_randomized_pattern.R | 10 shar-1.0/shar/tests/testthat/test-plot_randomized_raster.R | 4 shar-1.0/shar/tests/testthat/test-print.rd_mar.R |only shar-1.0/shar/tests/testthat/test-print.rd_pat.R |only shar-1.0/shar/tests/testthat/test-print.rd_ras.R |only shar-1.0/shar/tests/testthat/test-randomize_raster.R | 13 shar-1.0/shar/tests/testthat/test-reconstruct_pattern_cluster.R |only shar-1.0/shar/tests/testthat/test-reconstruct_pattern_hetero.R |only shar-1.0/shar/tests/testthat/test-reconstruct_pattern_homo.R |only shar-1.0/shar/tests/testthat/test-reconstruct_pattern_marks.R |only shar-1.0/shar/tests/testthat/test-results_habitat_association.R | 1 shar-1.0/shar/tests/testthat/test-translate_raster.R | 16 shar-1.0/shar/vignettes/get_started.Rmd | 2 70 files changed, 601 insertions(+), 424 deletions(-)
Title: Bootstrap Methods for Various Network Estimation Routines
Description: Bootstrap methods to assess accuracy and stability of estimated network structures
and centrality indices. Allows for flexible specification of any undirected network
estimation procedure in R, and offers default sets for 'qgraph', 'IsingFit', 'IsingSampler',
'glasso', 'huge' and 'parcor' packages.
Author: Sacha Epskamp [aut, cre],
Eiko I. Fried [ctb]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>
Diff between bootnet versions 1.2.3 dated 2019-06-24 and 1.2.4 dated 2019-08-08
DESCRIPTION | 6 +- MD5 | 6 +- NEWS | 3 + R/bootTable.R | 139 +++++++++++++++++++++++++++++++++++----------------------- 4 files changed, 93 insertions(+), 61 deletions(-)
Title: R Interface to 'lp_solve' Version 5.5.2.0
Description: The lpSolveAPI package provides an R interface to 'lp_solve',
a Mixed Integer Linear Programming (MILP) solver with support for pure
linear, (mixed) integer/binary, semi-continuous and special ordered sets
(SOS) models.
Author: lp_solve <http://lpsolve.sourceforge.net/>,
Kjell Konis <kjell.konis@me.com>.
Maintainer: ORPHANED
Diff between lpSolveAPI versions 5.5.2.0-17.2 dated 2019-08-04 and 5.5.2.0-17.4 dated 2019-08-08
DESCRIPTION | 6 +++--- MD5 | 6 +++--- src/RlpSolveLink.c | 10 ++++++++-- src/lp_solve/lp_MPS.c | 3 ++- 4 files changed, 16 insertions(+), 9 deletions(-)
Title: Shiny Matrix Input Field
Description: Implements a custom matrix input field.
Author: Andreas Neudecker
Maintainer: Andreas Neudecker <andreas.neudecker@inwt-statistics.de>
Diff between shinyMatrix versions 0.1.0 dated 2019-02-05 and 0.2.0 dated 2019-08-08
DESCRIPTION | 8 ++++---- LICENSE | 2 +- MD5 | 10 ++++++---- README.md | 2 +- inst/appExtendNoNames |only inst/www/matrixInput.js | 28 +++++++++++++++++++--------- 6 files changed, 31 insertions(+), 19 deletions(-)
Title: A Text Mining Toolkit for Chinese
Description: A Text mining toolkit for Chinese, which includes facilities for
Chinese string processing, Chinese NLP supporting, encoding detecting and
converting. Moreover, it provides some functions to support 'tm' package
in Chinese.
Author: Jian Li
Maintainer: Jian Li <rweibo@sina.com>
Diff between tmcn versions 0.2-12 dated 2018-03-03 and 0.2-13 dated 2019-08-08
tmcn-0.2-12/tmcn/R/segmentCN.R |only tmcn-0.2-12/tmcn/man/segmentCN.Rd |only tmcn-0.2-13/tmcn/DESCRIPTION | 17 +++++++---------- tmcn-0.2-13/tmcn/MD5 | 22 ++++++++++------------ tmcn-0.2-13/tmcn/R/createWordFreq.R | 13 +++++++------ tmcn-0.2-13/tmcn/data/GBK.rda |binary tmcn-0.2-13/tmcn/data/NTUSD.rda |binary tmcn-0.2-13/tmcn/data/SIMTRA.rda |binary tmcn-0.2-13/tmcn/data/SPORT.rda |binary tmcn-0.2-13/tmcn/data/STOPWORDS.rda |binary tmcn-0.2-13/tmcn/data/datalist | 10 +++++----- tmcn-0.2-13/tmcn/man/createWordFreq.Rd | 9 ++++++--- tmcn-0.2-13/tmcn/man/strpad.Rd | 3 ++- 13 files changed, 37 insertions(+), 37 deletions(-)
Title: Paws Low-Level Amazon Web Services API
Description: Functions for making low-level API requests to Amazon Web Services
<https://aws.amazon.com>. The functions handle building, signing, and
sending requests, and receiving responses. They are designed to help build
higher-level interfaces to individual services, such as Simple Storage
Service (S3).
Author: David Kretch [aut, cre],
Adam Banker [aut],
Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Diff between paws.common versions 0.1.1 dated 2019-03-19 and 0.1.2 dated 2019-08-08
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- NEWS.md | 4 ++++ R/config.R | 2 +- R/credential_providers.R | 2 +- R/signer_v4.R | 8 +++++--- 6 files changed, 19 insertions(+), 13 deletions(-)
Title: A General-Purpose Package for Dynamic Report Generation in R
Description: Provides a general-purpose tool for dynamic report generation in R
using Literate Programming techniques.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>),
Adam Vogt [ctb],
Alastair Andrew [ctb],
Alex Zvoleff [ctb],
Andre Simon [ctb] (the CSS files under inst/themes/ were derived from
the Highlight package http://www.andre-simon.de),
Aron Atkins [ctb],
Aaron Wolen [ctb],
Ashley Manton [ctb],
Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>),
Ben Baumer [ctb],
Brian Diggs [ctb],
Brian Zhang [ctb],
Cassio Pereira [ctb],
Christophe Dervieux [ctb],
David Hugh-Jones [ctb],
David Robinson [ctb],
Doug Hemken [ctb],
Duncan Murdoch [ctb],
Elio Campitelli [ctb],
Emily Riederer [ctb],
Fabian Hirschmann [ctb],
Fitch Simeon [ctb],
Forest Fang [ctb],
Frank E Harrell Jr [ctb] (the Sweavel package at inst/misc/Sweavel.sty),
Garrick Aden-Buie [ctb],
Gregoire Detrez [ctb],
Hadley Wickham [ctb],
Hao Zhu [ctb],
Heewon Jeon [ctb],
Henrik Bengtsson [ctb],
Hiroaki Yutani [ctb],
Ian Lyttle [ctb],
Hodges Daniel [ctb],
Jake Burkhead [ctb],
James Manton [ctb],
Jared Lander [ctb],
Jason Punyon [ctb],
Javier Luraschi [ctb],
Jeff Arnold [ctb],
Jenny Bryan [ctb],
Jeremy Ashkenas [ctb, cph] (the CSS file at
inst/misc/docco-classic.css),
Jeremy Stephens [ctb],
Jim Hester [ctb],
Joe Cheng [ctb],
Johannes Ranke [ctb],
John Honaker [ctb],
John Muschelli [ctb],
Jonathan Keane [ctb],
JJ Allaire [ctb],
Johan Toloe [ctb],
Jonathan Sidi [ctb],
Joseph Larmarange [ctb],
Julien Barnier [ctb],
Kaiyin Zhong [ctb],
Kamil Slowikowski [ctb],
Karl Forner [ctb],
Kevin K. Smith [ctb],
Kirill Mueller [ctb],
Kohske Takahashi [ctb],
Lorenz Walthert [ctb],
Lucas Gallindo [ctb],
Marius Hofert [ctb],
Martin Modrák [ctb],
Michael Chirico [ctb],
Michael Friendly [ctb],
Michal Bojanowski [ctb],
Michel Kuhlmann [ctb],
Miller Patrick [ctb],
Nacho Caballero [ctb],
Nick Salkowski [ctb],
Noam Ross [ctb],
Obada Mahdi [ctb],
Qiang Li [ctb],
Ramnath Vaidyanathan [ctb],
Richard Cotton [ctb],
Robert Krzyzanowski [ctb],
Romain Francois [ctb],
Ruaridh Williamson [ctb],
Scott Kostyshak [ctb],
Sebastian Meyer [ctb],
Sietse Brouwer [ctb],
Simon de Bernard [ctb],
Sylvain Rousseau [ctb],
Taiyun Wei [ctb],
Thibaut Assus [ctb],
Thibaut Lamadon [ctb],
Thomas Leeper [ctb],
Tim Mastny [ctb],
Tom Torsney-Weir [ctb],
Trevor Davis [ctb],
Viktoras Veitas [ctb],
Weicheng Zhu [ctb],
Wush Wu [ctb],
Zachary Foster [ctb]
Maintainer: Yihui Xie <xie@yihui.name>
Diff between knitr versions 1.23 dated 2019-05-18 and 1.24 dated 2019-08-08
DESCRIPTION | 6 ++-- MD5 | 54 +++++++++++++++++++++---------------------- R/citation.R | 2 + R/output.R | 54 +++++++++++++++---------------------------- R/parser.R | 7 ++--- R/rocco.R | 4 ++- R/template.R | 2 + R/utils-base64.R | 5 ++- R/utils-conversion.R | 2 + R/utils-sweave.R | 3 +- R/utils-upload.R | 12 ++++----- R/utils-vignettes.R | 2 - build/vignette.rds |binary inst/doc/knit_expand.html | 4 +-- inst/doc/knit_print.html | 18 ++++++++------ inst/doc/knitr-intro.html | 16 +++++++----- inst/doc/knitr-markdown.html | 2 - inst/doc/knitr-refcard.pdf |binary man/Sweave2knitr.Rd | 3 +- man/image_uri.Rd | 6 +++- man/imgur_upload.Rd | 12 ++++----- man/knit.Rd | 12 +++------ man/knit2html.Rd | 5 +++ man/rocco.Rd | 2 + man/stitch.Rd | 2 + man/vignette_engines.Rd | 2 - man/write_bib.Rd | 2 + tests/testit/test-parser.R | 2 - 28 files changed, 126 insertions(+), 115 deletions(-)
Title: The Generalized DINA Model Framework
Description: A set of psychometric tools for cognitive diagnosis modeling based on the generalized deterministic inputs, noisy and gate (G-DINA) model by de la Torre (2011) <DOI:10.1007/s11336-011-9207-7> and its extensions, including the sequential G-DINA model by Ma and de la Torre (2016) <DOI:10.1111/bmsp.12070> for polytomous responses, and the polytomous G-DINA model by Chen and de la Torre <DOI:10.1177/0146621613479818> for polytomous attributes. Joint attribute distribution can be independent, saturated, higher-order, loglinear smoothed or structured. Q-matrix validation, item and model fit statistics, model comparison at test and item level and differential item functioning can also be conducted. A graphical user interface is also provided.
Author: Wenchao Ma [aut, cre, cph],
Jimmy de la Torre [aut, cph],
Miguel Sorrel [ctb],
Zhehan Jiang [ctb]
Maintainer: Wenchao Ma <wenchao.ma@ua.edu>
Diff between GDINA versions 2.6.0 dated 2019-06-12 and 2.7.0 dated 2019-08-08
DESCRIPTION | 31 +++--- MD5 | 83 +++++++++------- NAMESPACE | 2 NEWS.md | 9 + R/ExportedFuncs.R | 3 R/GDI.R | 35 ++++--- R/GDINA.R | 5 - R/HO.R | 56 ----------- R/ILCA.R | 5 - R/M2.R | 5 - R/MCmodel.R |only R/MultipleGroup_Estimation.R | 15 ++- R/SingleGroup_Estimation.R | 8 + R/anova.GDINA.R | 6 + R/bootSE.R | 2 R/dif.R | 4 R/extract.R | 37 +++++++ R/itemfit.R | 11 +- R/modelcomp.R | 4 R/print.GDINA.R | 64 ++++++++++--- R/score.R | 41 ++------ R/sim10MCDINA.R |only R/summary.GDINA.R | 10 +- R/utils.R | 15 ++- README.md | 2 build/vignette.rds |binary data/sim10MCDINA.rda |only inst/CITATION | 4 inst/doc/GDINA.Rmd | 6 - inst/doc/GDINA.html | 14 ++ man/GDINA.Rd | 5 - man/ILCA.Rd | 5 - man/MCmodel.Rd |only man/Qval.Rd | 35 ++++--- man/dif.Rd | 6 - man/extract.Rd | 27 +++++ man/itemfit.Rd | 8 - man/modelcomp.Rd | 13 +- man/modelfit.Rd | 2 man/sim10MCDINA.Rd |only src/Lik.cpp | 108 ++++++++++++++++------ src/util.cpp | 2 tests/testthat/test-itemfit.R |only vignettes/GDINA.Rmd | 6 - vignettes/OnlineExercises/CDMAnalysis_example.Rmd |only vignettes/OnlineExercises/GDINA_example.Rmd | 35 ++++++- 46 files changed, 461 insertions(+), 268 deletions(-)
Title: Bayesian Structure Learning in Graphical Models using
Birth-Death MCMC
Description: Statistical tools for Bayesian structure learning in undirected graphical models for continuous, discrete, and mixed data. The package is implemented the recent improvements in the Bayesian graphical models literature, including Mohammadi and Wit (2015) <doi:10.1214/14-BA889>, Mohammadi and Wit (2019) <doi:10.18637/jss.v089.i03>.
Author: Reza Mohammadi [aut, cre] <https://orcid.org/0000-0001-9538-0648>,
Ernst Wit [aut] <https://orcid.org/0000-0002-3671-9610>,
Adrian Dobra [ctb]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>
Diff between BDgraph versions 2.59 dated 2019-05-06 and 2.60 dated 2019-08-08
BDgraph-2.59/BDgraph/vignettes/vignette.pdf |only BDgraph-2.60/BDgraph/DESCRIPTION | 12 BDgraph-2.60/BDgraph/MD5 | 84 BDgraph-2.60/BDgraph/NAMESPACE | 2 BDgraph-2.60/BDgraph/NEWS | 9 BDgraph-2.60/BDgraph/R/covariance.R |only BDgraph-2.60/BDgraph/R/hill_climb_algorithm.R | 2 BDgraph-2.60/BDgraph/R/plinks.R | 3 BDgraph-2.60/BDgraph/R/plotcoda.R | 2 BDgraph-2.60/BDgraph/R/precision.R |only BDgraph-2.60/BDgraph/R/select.R | 3 BDgraph-2.60/BDgraph/R/traceplot.R | 2 BDgraph-2.60/BDgraph/THANKS |only BDgraph-2.60/BDgraph/build |only BDgraph-2.60/BDgraph/inst/doc/BDgraph.pdf |binary BDgraph-2.60/BDgraph/inst/doc/BDgraph_examples.R |only BDgraph-2.60/BDgraph/inst/doc/vignette.pdf |binary BDgraph-2.60/BDgraph/man/BDgraph-package.Rd | 14 BDgraph-2.60/BDgraph/man/bdgraph.Rd | 4 BDgraph-2.60/BDgraph/man/bdgraph.mpl.Rd | 4 BDgraph-2.60/BDgraph/man/bdgraph.npn.Rd | 2 BDgraph-2.60/BDgraph/man/bdgraph.sim.Rd | 3 BDgraph-2.60/BDgraph/man/bdgraph.ts.Rd | 5 BDgraph-2.60/BDgraph/man/covariance.Rd |only BDgraph-2.60/BDgraph/man/gnorm.Rd | 2 BDgraph-2.60/BDgraph/man/graph.sim.Rd | 3 BDgraph-2.60/BDgraph/man/pgraph.Rd | 2 BDgraph-2.60/BDgraph/man/plinks.Rd | 1 BDgraph-2.60/BDgraph/man/plot.bdgraph.Rd | 3 BDgraph-2.60/BDgraph/man/plot.graph.Rd | 3 BDgraph-2.60/BDgraph/man/plot.sim.Rd | 2 BDgraph-2.60/BDgraph/man/plotcoda.Rd | 2 BDgraph-2.60/BDgraph/man/plotroc.Rd | 3 BDgraph-2.60/BDgraph/man/precision.Rd |only BDgraph-2.60/BDgraph/man/print.bdgraph.Rd | 2 BDgraph-2.60/BDgraph/man/print.sim.Rd | 2 BDgraph-2.60/BDgraph/man/rgcwish.Rd | 3 BDgraph-2.60/BDgraph/man/rgwish.Rd | 3 BDgraph-2.60/BDgraph/man/rmvnorm.Rd | 2 BDgraph-2.60/BDgraph/man/rwish.Rd | 2 BDgraph-2.60/BDgraph/man/select.Rd | 2 BDgraph-2.60/BDgraph/man/traceplot.Rd | 2 BDgraph-2.60/BDgraph/man/trensfer.Rd | 2 BDgraph-2.60/BDgraph/src/BDgraph_init.c | 4 BDgraph-2.60/BDgraph/src/Makevars | 2 BDgraph-2.60/BDgraph/src/rgwish.cpp | 12 BDgraph-2.60/BDgraph/vignettes/BDgraph.pdf | 5254 ++++++++++------------- 47 files changed, 2589 insertions(+), 2875 deletions(-)