Title: Starter Kit for New Projects
Description: Get started with new projects by dropping a skeleton of a new
project into a new or existing directory, initialise git repositories,
and create reproducible environments with the 'renv' package. The
package allows for dynamically named files, folders, file content, as
well as the functionality to drop individual template files into
existing projects.
Author: Daniel D. Sjoberg [aut, cre] (<https://orcid.org/0000-0003-0862-2018>)
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>
Diff between starter versions 0.1.7 dated 2021-11-17 and 0.1.8 dated 2021-11-23
DESCRIPTION | 10 MD5 | 10 NEWS.md | 4 R/create_project.R | 759 +++++++++++++++++++++---------------------- inst/doc/create_project.html | 8 man/create_project.Rd | 2 6 files changed, 406 insertions(+), 387 deletions(-)
Title: ROC Curve Inference with and without Covariates
Description: Estimates the pooled (unadjusted) Receiver Operating Characteristic (ROC) curve, the covariate-adjusted ROC (AROC) curve, and the covariate-specific/conditional ROC (cROC) curve by different methods, both Bayesian and frequentist. Also, it provides functions to obtain ROC-based optimal cutpoints utilizing several criteria. Based on Erkanli, A. et al. (2006) <doi:10.1002/sim.2496>; Faraggi, D. (2003) <doi:10.1111/1467-9884.00350>; Gu, J. et al. (2008) <doi:10.1002/sim.3366>; Inacio de Carvalho, V. et al. (2013) <doi:10.1214/13-BA825>; Inacio de Carvalho, V., and Rodriguez-Alvarez, M.X. (2018) <arXiv:1806.00473>; Janes, H., and Pepe, M.S. (2009) <doi:10.1093/biomet/asp002>; Pepe, M.S. (1998) <http://www.jstor.org/stable/2534001?seq=1>; Rodriguez-Alvarez, M.X. et al. (2011a) <doi:10.1016/j.csda.2010.07.018>; Rodriguez-Alvarez, M.X. et al. (2011a) <doi:10.1007/s11222-010-9184-1>. Please see Rodriguez-Alvarez, M.X. and Inacio, V. (20208) <arXiv:2003.13111> for more details.
Author: Maria Xose Rodriguez-Alvarez [aut, cre]
(<https://orcid.org/0000-0002-1329-9238>),
Vanda Inacio [aut] (<https://orcid.org/0000-0001-8084-1616>)
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez@uvigo.es>
Diff between ROCnReg versions 1.0-5 dated 2021-03-17 and 1.0-6 dated 2021-11-23
DESCRIPTION | 12 ++++++------ MD5 | 11 ++++++----- NEWS | 7 +++++++ build/partial.rdb |binary inst |only man/ROCnReg-package.Rd | 6 +++--- man/compute.threshold.cROC.Rd | 2 +- 7 files changed, 23 insertions(+), 15 deletions(-)
Title: Bayesian Change-Point Detection and Time Series Decomposition
Description: Interpretation of time series data is affected by model choices. Different models can give different or even contradicting estimates of patterns, trends, and mechanisms for the same data--a limitation alleviated by the Bayesian estimator of abrupt change,seasonality, and trend (BEAST) of this package. BEAST seeks to improve time series decomposition by forgoing the "single-best-model" concept and embracing all competing models into the inference via a Bayesian model averaging scheme. It is a flexible tool to uncover abrupt changes (i.e., change-points), cyclic variations (e.g., seasonality), and nonlinear trends in time-series observations. BEAST not just tells when changes occur but also quantifies how likely the detected changes are true. It detects not just piecewise linear trends but also arbitrary nonlinear trends. BEAST is applicable to real-valued time series data of all kinds, be it for remote sensing, economics, climate sciences, ecology, and hydrology. Example applications include its use to identify regime shifts in ecological data, map forest disturbance and land degradation from satellite imagery, detect market trends in economic data, pinpoint anomaly and extreme events in climate data, and unravel system dynamics in biological data. Details on BEAST are reported in Zhao et al. (2019) <doi:10.1016/j.rse.2019.04.034>.
Author: Kaiguang Zhao [aut, cre],
Tongxi Hu [aut],
Yang Li [aut],
Jack Dongarra [ctb],
Cleve Moler [ctb]
Maintainer: Kaiguang Zhao <lidar.rs@gmail.com>
Diff between Rbeast versions 0.9.0 dated 2021-11-15 and 0.9.1 dated 2021-11-23
DESCRIPTION | 8 - MD5 | 128 +++++++++++----------- NAMESPACE | 1 NEWS | 3 R/beast.R | 78 +++++++++++-- R/beast.old.R |only R/geeLandsat.R | 10 + R/minesweeper.r | 90 ++++++++------- R/plot.interactive.R | 2 R/tetris.R |only R/zzz.R | 6 - data/CNAchrom11.RData |only man/CNAchrom11.Rd |only man/Yellowstone.Rd | 2 man/beast.Rd | 183 ++++++++++++++++++++++---------- man/beast.irreg.Rd | 3 man/beast123.Rd | 8 + man/geeLandsat.Rd | 2 man/minesweeper.Rd | 4 man/plot.beast.Rd | 2 man/print.beast.Rd | 2 man/tetris.Rd |only man/tsextract.Rd | 2 src/_beastv2_gui_winmain.c | 6 - src/abc_000_macro.h | 7 - src/abc_common.c | 6 - src/abc_common.h | 2 src/abc_cpu.c | 49 ++++---- src/abc_datatype.h | 2 src/abc_ide_util.c | 153 ++++++++++---------------- src/abc_ide_util.h | 2 src/abc_math_avx.c | 8 - src/abc_math_avx512.c | 6 - src/abc_mem.c | 71 ++++++------ src/abc_mem.h | 8 - src/abc_mem_ext.c | 2 src/abc_pthread.c | 20 +-- src/abc_rand_pcg_global.c | 2 src/abc_rand_pcg_local_avx2.c | 4 src/abc_rand_pcg_local_avx512.c | 4 src/abc_timer.h | 19 ++- src/abc_vec.c | 2 src/abc_vec_avx2.c | 9 - src/abc_vec_avx512.c | 11 + src/beastv2_COREV4.c | 58 +++++----- src/beastv2_COREV4_gui.c | 61 +++++----- src/beastv2_COREV4_mthrd.c | 52 ++++----- src/beastv2_basis_allocinitmem.c | 2 src/beastv2_basis_computexy_q.c | 6 - src/beastv2_basis_cvtKnotsToBinVec.c | 12 +- src/beastv2_basis_genrandbasis.c | 14 +- src/beastv2_basis_proposeNew_q.c | 114 ++++++++++--------- src/beastv2_basis_updateKsKe_prec0123.c | 16 +- src/beastv2_basis_updategoodvec.c | 38 +++--- src/beastv2_func_q.c | 16 +- src/beastv2_header.h | 82 ++++++-------- src/beastv2_header_solaris.h | 98 ++++++++--------- src/beastv2_io_in_args.c | 182 ++++++++++++++++--------------- src/beastv2_io_in_readts.c | 4 src/beastv2_io_out_allocmem_q.c | 77 ++++++------- src/beastv2_io_out_print.c | 8 - src/beastv2_io_out_write_q.c | 26 ++-- src/beastv2_model_allocinit_q.c | 4 src/beastv2_prior_model.c | 40 +++--- src/beastv2_prior_precfunc.c | 2 src/beastv2_xxyy_allocmem_q.c | 2 src/glue_code.c | 49 +++++--- src/tetris.c |only 68 files changed, 1037 insertions(+), 853 deletions(-)
Title: Linking Patient-Reported Outcomes Measures
Description: Perform scale linking to establish relationships between instruments
that measure similar constructs according to the PROsetta Stone methodology, as in Choi, Schalet, Cook, & Cella (2014) <doi:10.1037/a0035768>.
Author: Seung W. Choi [aut, cre] (<https://orcid.org/0000-0003-4777-5420>),
Sangdon Lim [aut] (<https://orcid.org/0000-0002-2988-014X>),
Benjamin D. Schalet [ctb],
Aaron J. Kaat [ctb],
David Cella [ctb]
Maintainer: Seung W. Choi <schoi@austin.utexas.edu>
Diff between PROsetta versions 0.3.2 dated 2021-07-20 and 0.3.4 dated 2021-11-23
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Title: Kernel-Based Nonparametric ROC Regression Modelling
Description: Implements several nonparametric regression approaches for the inclusion of covariate information on the receiver operating characteristic (ROC) framework.
Author: Maria Xose Rodriguez-Alvarez [aut, cre],
Javier Roca-Pardinas [aut]
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez@uvigo.es>
Diff between npROCRegression versions 1.0-5 dated 2017-04-23 and 1.0-6 dated 2021-11-23
DESCRIPTION | 12 MD5 | 14 NEWS | 6 build/vignette.rds |binary inst/doc/npROCRegression.R | 14 inst/doc/npROCRegression.html | 1251 +++++++++++++++++++++++------------------ man/npROCRegression-package.Rd | 6 src/npROCRegression.f90 | 47 - 8 files changed, 783 insertions(+), 567 deletions(-)
More information about npROCRegression at CRAN
Permanent link
Title: Nonparametric Preprocessing for Parametric Causal Inference
Description: Selects matched samples of the original treated and
control groups with similar covariate distributions -- can be
used to match exactly on covariates, to match on propensity
scores, or perform a variety of other matching procedures. The
package also implements a series of recommendations offered in
Ho, Imai, King, and Stuart (2007) <DOI:10.1093/pan/mpl013>. (The
'gurobi' package, which is not on CRAN, is optional and comes with
an installation of the Gurobi Optimizer, available at
<https://www.gurobi.com>.)
Author: Daniel Ho [aut] (<https://orcid.org/0000-0002-2195-5469>),
Kosuke Imai [aut] (<https://orcid.org/0000-0002-2748-1022>),
Gary King [aut] (<https://orcid.org/0000-0002-5327-7631>),
Elizabeth Stuart [aut] (<https://orcid.org/0000-0002-9042-8611>),
Alex Whitworth [ctb],
Noah Greifer [ctb, cre, aut] (<https://orcid.org/0000-0003-3067-7154>)
Maintainer: Noah Greifer <noah.greifer@gmail.com>
Diff between MatchIt versions 4.3.1 dated 2021-11-11 and 4.3.2 dated 2021-11-23
MatchIt-4.3.1/MatchIt/src/Makevars |only MatchIt-4.3.2/MatchIt/DESCRIPTION | 6 +- MatchIt-4.3.2/MatchIt/MD5 | 43 ++++++++--------- MatchIt-4.3.2/MatchIt/NEWS.md | 8 +++ MatchIt-4.3.2/MatchIt/R/aux_functions.R | 8 +-- MatchIt-4.3.2/MatchIt/R/class_functions.R | 10 ++- MatchIt-4.3.2/MatchIt/R/match.qoi.R | 2 MatchIt-4.3.2/MatchIt/R/matchit.R | 4 + MatchIt-4.3.2/MatchIt/R/matchit2_methods.R | 1 MatchIt-4.3.2/MatchIt/build/partial.rdb |binary MatchIt-4.3.2/MatchIt/inst/doc/MatchIt.Rmd | 2 MatchIt-4.3.2/MatchIt/inst/doc/MatchIt.html | 10 +-- MatchIt-4.3.2/MatchIt/inst/doc/assessing-balance.html | 18 ++++--- MatchIt-4.3.2/MatchIt/inst/doc/estimating-effects.Rmd | 16 +++++- MatchIt-4.3.2/MatchIt/inst/doc/estimating-effects.html | 10 +-- MatchIt-4.3.2/MatchIt/inst/doc/matching-methods.Rmd | 4 - MatchIt-4.3.2/MatchIt/inst/doc/matching-methods.html | 8 +-- MatchIt-4.3.2/MatchIt/inst/doc/sampling-weights.html | 4 - MatchIt-4.3.2/MatchIt/man/matchit.Rd | 3 - MatchIt-4.3.2/MatchIt/man/method_subclass.Rd | 2 MatchIt-4.3.2/MatchIt/vignettes/MatchIt.Rmd | 2 MatchIt-4.3.2/MatchIt/vignettes/estimating-effects.Rmd | 16 +++++- MatchIt-4.3.2/MatchIt/vignettes/matching-methods.Rmd | 4 - 23 files changed, 111 insertions(+), 70 deletions(-)
Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can
handle large graphs very well and provides functions for generating random
and regular graphs, graph visualization, centrality methods and much more.
Author: See AUTHORS file.
Maintainer: Tamás Nepusz <ntamas@gmail.com>
Diff between igraph versions 1.2.8 dated 2021-11-07 and 1.2.9 dated 2021-11-23
igraph-1.2.8/igraph/R/auto.R.in |only igraph-1.2.9/igraph/DESCRIPTION | 6 igraph-1.2.9/igraph/MD5 | 44 +- igraph-1.2.9/igraph/NEWS.md | 6 igraph-1.2.9/igraph/R/cocitation.R | 2 igraph-1.2.9/igraph/R/make.R | 2 igraph-1.2.9/igraph/build/partial.rdb |binary igraph-1.2.9/igraph/configure | 19 - igraph-1.2.9/igraph/configure.ac | 3 igraph-1.2.9/igraph/inst/NEWS.md | 6 igraph-1.2.9/igraph/man/cocitation.Rd | 2 igraph-1.2.9/igraph/src/Makevars.in | 5 igraph-1.2.9/igraph/src/Makevars.ucrt |only igraph-1.2.9/igraph/src/Makevars.win | 2 igraph-1.2.9/igraph/src/foreign-dl-lexer.c | 4 igraph-1.2.9/igraph/src/foreign-gml-lexer.c | 4 igraph-1.2.9/igraph/src/foreign-lgl-lexer.c | 4 igraph-1.2.9/igraph/src/foreign-ncol-lexer.c | 4 igraph-1.2.9/igraph/src/foreign-pajek-lexer.c | 4 igraph-1.2.9/igraph/src/igraph_blas_internal.h | 6 igraph-1.2.9/igraph/src/igraph_version.h | 2 igraph-1.2.9/igraph/src/init.c | 337 ++++++++++---------- igraph-1.2.9/igraph/src/rinterface.c | 9 igraph-1.2.9/igraph/tests/testthat/test_layout.fr.R | 5 24 files changed, 253 insertions(+), 223 deletions(-)
Title: Sequential Design for Deep Gaussian Processes using MCMC
Description: Performs model fitting and sequential design for deep Gaussian
processes following Sauer, Gramacy, and Higdon (2020) <arXiv:2012.08015>.
Models extend up to three layers deep; a one layer model is equivalent
to typical Gaussian process regression. Covariance kernel options are
Matern (default) and squared exponential. Sequential design criteria
include integrated mean-squared error (IMSE), active learning Cohn (ALC),
and expected improvement (EI). Applicable to both noisy and
deterministic functions. Incorporates SNOW parallelization and
utilizes C and C++ under the hood.
Author: Annie Sauer <anniees@vt.edu>
Maintainer: Annie Sauer <anniees@vt.edu>
Diff between deepgp versions 0.2.1 dated 2021-07-15 and 0.3.0 dated 2021-11-23
deepgp-0.2.1/deepgp/man/EI.Rd |only deepgp-0.2.1/deepgp/man/calc_K.Rd |only deepgp-0.2.1/deepgp/src/Makefile |only deepgp-0.2.1/deepgp/src/init.c |only deepgp-0.3.0/deepgp/DESCRIPTION | 26 - deepgp-0.3.0/deepgp/MD5 | 61 +- deepgp-0.3.0/deepgp/NAMESPACE | 8 deepgp-0.3.0/deepgp/R/RcppExports.R |only deepgp-0.3.0/deepgp/R/checks.R |only deepgp-0.3.0/deepgp/R/continue.R | 71 ++- deepgp-0.3.0/deepgp/R/deepgp-package.R | 59 +- deepgp-0.3.0/deepgp/R/fit.R | 597 +++++++---------------------- deepgp-0.3.0/deepgp/R/general.R | 187 +++------ deepgp-0.3.0/deepgp/R/gibbs.R |only deepgp-0.3.0/deepgp/R/mcmc.R | 49 +- deepgp-0.3.0/deepgp/R/plot.R | 136 +++--- deepgp-0.3.0/deepgp/R/predict.R | 407 ++++++++++--------- deepgp-0.3.0/deepgp/R/seq_design.R | 560 ++++++++++++--------------- deepgp-0.3.0/deepgp/R/trim.R | 13 deepgp-0.3.0/deepgp/README.md | 37 + deepgp-0.3.0/deepgp/man/ALC.Rd | 51 +- deepgp-0.3.0/deepgp/man/IMSE.Rd | 46 +- deepgp-0.3.0/deepgp/man/continue.Rd | 18 deepgp-0.3.0/deepgp/man/deepgp-package.Rd | 49 +- deepgp-0.3.0/deepgp/man/fit_one_layer.Rd | 61 +- deepgp-0.3.0/deepgp/man/fit_three_layer.Rd | 59 +- deepgp-0.3.0/deepgp/man/fit_two_layer.Rd | 57 +- deepgp-0.3.0/deepgp/man/plot.Rd | 19 deepgp-0.3.0/deepgp/man/predict.Rd | 65 +-- deepgp-0.3.0/deepgp/man/rmse.Rd | 7 deepgp-0.3.0/deepgp/man/score.Rd | 11 deepgp-0.3.0/deepgp/man/sq_dist.Rd | 6 deepgp-0.3.0/deepgp/man/trim.Rd | 10 deepgp-0.3.0/deepgp/src/Makevars | 5 deepgp-0.3.0/deepgp/src/RcppExports.cpp |only deepgp-0.3.0/deepgp/src/cov.cpp |only 36 files changed, 1205 insertions(+), 1470 deletions(-)
Title: D-Vine Quantile Regression
Description: Implements D-vine quantile regression models with
parametric or nonparametric pair-copulas. See
Kraus and Czado (2017) <doi:10.1016/j.csda.2016.12.009> and
Schallhorn et al. (2017) <arXiv:1705.08310>.
Author: Thomas Nagler [aut, cre],
Dani Kraus [ctb]
Maintainer: Thomas Nagler <mail@tnagler.com>
Diff between vinereg versions 0.7.4 dated 2021-05-14 and 0.8.0 dated 2021-11-23
DESCRIPTION | 8 - MD5 | 34 ++-- NEWS.md | 13 + R/predict.vinereg.R | 4 R/tools.R | 10 + R/vinereg.R | 71 +++++--- README.md | 94 +++++------ build/vignette.rds |binary inst/doc/abalone-example.html | 184 ++++++++++++----------- inst/doc/bike-rental.html | 246 ++++++++++++++++--------------- inst/include/dvine_reg_selector.hpp | 3 man/figures/README-unnamed-chunk-1-1.png |binary man/vinereg.Rd | 6 src/RcppExports.cpp | 5 src/vinereg.cpp | 17 +- tests/testthat/test-predict.R | 9 + tests/testthat/test-test-cpit.R | 7 tests/testthat/test-vinereg.R | 5 18 files changed, 398 insertions(+), 318 deletions(-)
Title: Adaptive and Automatic Gradient Boosting Computations
Description: Fast and automatic gradient tree boosting designed
to avoid manual tuning and cross-validation by utilizing an information
theoretic approach. This makes the algorithm adaptive to the dataset at
hand; it is completely automatic, and with minimal worries of overfitting.
Consequently, the speed-ups relative to state-of-the-art implementations
can be in the thousands while mathematical and technical knowledge required
on the user are minimized.
Author: Berent Ånund Strømnes Lunde
Maintainer: Berent Ånund Strømnes Lunde <lundeberent@gmail.com>
Diff between agtboost versions 0.9.2 dated 2021-11-10 and 0.9.3 dated 2021-11-23
DESCRIPTION | 8 ++++---- MD5 | 4 ++-- src/Makevars | 6 ------ 3 files changed, 6 insertions(+), 12 deletions(-)
Title: Regression Helper Functions
Description: Methods for manipulating regression models and for describing these in a style adapted for medical journals.
Contains functions for generating an HTML table with crude and adjusted estimates, plotting hazard ratio, plotting model
estimates and confidence intervals using forest plots, extending this to comparing multiple models in a single forest plots.
In addition to the descriptive methods, there are add-ons for the robust covariance matrix provided by the 'sandwich'
package, a function for adding non-linearities to a model, and a wrapper around the 'Epi' package's Lexis() functions for
time-splitting a dataset when modeling non-proportional hazards in Cox regressions.
Author: Max Gordon [aut, cre],
Reinhard Seifert [aut] (Author of original plotHR)
Maintainer: Max Gordon <max@gforge.se>
Diff between Greg versions 1.3.4 dated 2020-06-25 and 1.4.0 dated 2021-11-23
Greg-1.3.4/Greg/NEWS |only Greg-1.4.0/Greg/DESCRIPTION | 10 Greg-1.4.0/Greg/MD5 | 76 - Greg-1.4.0/Greg/NAMESPACE | 2 Greg-1.4.0/Greg/NEWS.md |only Greg-1.4.0/Greg/R/getCrudeAndAdjustedModelData.R | 17 Greg-1.4.0/Greg/R/plotHR.R | 199 +-- Greg-1.4.0/Greg/R/printCrudeAndAdjustedModel.R | 70 - Greg-1.4.0/Greg/README.md | 4 Greg-1.4.0/Greg/build/vignette.rds |binary Greg-1.4.0/Greg/inst/doc/printCrudeAndAdjustedModel.html | 422 +----- Greg-1.4.0/Greg/inst/doc/timeSplitter.Rmd | 2 Greg-1.4.0/Greg/inst/doc/timeSplitter.html | 634 +++------- Greg-1.4.0/Greg/man/forestplotCombineRegrObj.Rd | 4 Greg-1.4.0/Greg/man/forestplotRegrObj.Rd | 4 Greg-1.4.0/Greg/man/getCrudeAndAdjustedModelData.Rd | 4 Greg-1.4.0/Greg/man/plotHR.Rd | 10 Greg-1.4.0/Greg/man/prCaAddRefAndStat.Rd | 3 Greg-1.4.0/Greg/man/prCaAddReference.Rd | 3 Greg-1.4.0/Greg/man/prCaAddUserReferences.Rd | 3 Greg-1.4.0/Greg/man/prCaGetImputationCols.Rd | 3 Greg-1.4.0/Greg/man/prCaGetRowname.Rd | 3 Greg-1.4.0/Greg/man/prCaGetVnStats.Rd | 3 Greg-1.4.0/Greg/man/prCaPrepareCrudeAndAdjusted.Rd | 3 Greg-1.4.0/Greg/man/prCaReorder.Rd | 3 Greg-1.4.0/Greg/man/prCaReorderReferenceDescribe.Rd | 3 Greg-1.4.0/Greg/man/prCaSelectAndOrderVars.Rd | 3 Greg-1.4.0/Greg/man/prCaSetRownames.Rd | 3 Greg-1.4.0/Greg/man/printCrudeAndAdjustedModel.Rd | 16 Greg-1.4.0/Greg/tests/test-nonlin_4_coxph.R | 8 Greg-1.4.0/Greg/tests/testthat.R | 1 Greg-1.4.0/Greg/tests/testthat/Rplots.pdf |binary Greg-1.4.0/Greg/tests/testthat/test-addNonlinearity.R | 1 Greg-1.4.0/Greg/tests/testthat/test-fit.mult.impute-C&A.R | 16 Greg-1.4.0/Greg/tests/testthat/test-getCrudeAndAdjustedModelData.R | 5 Greg-1.4.0/Greg/tests/testthat/test-plotHR.R | 37 Greg-1.4.0/Greg/tests/testthat/test-printCrudeAndAdjustedModel.R | 4 Greg-1.4.0/Greg/tests/testthat/test-private_functions.R | 1 Greg-1.4.0/Greg/tests/testthat/test-timeSplitter.R | 8 Greg-1.4.0/Greg/vignettes/timeSplitter.Rmd | 2 40 files changed, 615 insertions(+), 975 deletions(-)
Title: Data Structures for Single Cell Data
Description: Defines S4 classes for single-cell genomic data and associated
information, such as dimensionality reduction embeddings, nearest-neighbor
graphs, and spatially-resolved coordinates. Provides data access methods and
R-native hooks to ensure the Seurat object is familiar to other R users. See
Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>,
Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>,
and Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031> for
more details.
Author: Rahul Satija [aut] (<https://orcid.org/0000-0001-9448-8833>),
Andrew Butler [aut] (<https://orcid.org/0000-0003-3608-0463>),
Paul Hoffman [aut, cre] (<https://orcid.org/0000-0002-7693-8957>),
Tim Stuart [aut] (<https://orcid.org/0000-0002-3044-0897>),
Jeff Farrell [ctb],
Shiwei Zheng [ctb] (<https://orcid.org/0000-0001-6682-6743>),
Christoph Hafemeister [ctb] (<https://orcid.org/0000-0001-6365-8254>),
Patrick Roelli [ctb],
Yuhan Hao [ctb] (<https://orcid.org/0000-0002-1810-0822>)
Maintainer: Paul Hoffman <seurat@nygenome.org>
Diff between SeuratObject versions 4.0.3 dated 2021-11-10 and 4.0.4 dated 2021-11-23
DESCRIPTION | 12 +++--- MD5 | 19 +++++----- NAMESPACE | 4 ++ NEWS.md | 10 +++++ R/assay.R | 11 +++++- R/seurat.R | 4 ++ R/utils.R | 79 ++++++++++++++++++++++++++++++++++++++++++++ man/CheckMatrix.Rd |only man/CreateAssayObject.Rd | 11 +++++- man/SeuratObject-package.Rd | 11 +----- src/RcppExports.cpp | 5 ++ 11 files changed, 139 insertions(+), 27 deletions(-)
Title: Modules to Import and Manipulate Data in 'Shiny'
Description: 'Shiny' modules to import data into an application or 'addin'
from various sources, and to manipulate them after that.
Author: Victor Perrier [aut, cre, cph],
Fanny Meyer [aut],
Zauad Shahreer Abeer [aut]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>
Diff between datamods versions 1.1.5 dated 2021-07-02 and 1.2.0 dated 2021-11-23
DESCRIPTION | 14 MD5 | 100 +- NAMESPACE | 237 +++--- NEWS.md | 80 +- R/doc.R | 46 - R/filter-data.R | 1118 +++++++++++++++---------------- R/i18n.R | 183 ++--- R/import-copypaste.R | 330 ++++----- R/import-file.R | 587 ++++++++-------- R/import-globalenv.R | 679 +++++++++---------- R/import-googlesheets.R | 18 R/import-modal.R | 87 +- R/show_data.R | 10 R/update-variables.R | 1305 ++++++++++++++++++------------------- R/utils-shiny.R | 357 +++++----- R/utils.R | 5 R/validation.R | 615 ++++++++--------- R/zzz.R | 4 README.md | 13 build/vignette.rds |binary inst/assets/js/datamods.js | 6 inst/doc/i18n.R | 9 inst/doc/i18n.Rmd | 216 +++--- inst/doc/i18n.html | 52 - inst/extdata/mtcars.csv | 66 - inst/extdata/mtcars.json |only inst/i18n/fr.csv | 122 +-- inst/i18n/mk.csv |only inst/i18n/pt.csv |only inst/i18n/sq.csv |only man/figures/i18n |only man/filter-data.Rd | 377 +++++----- man/get_data_packages.Rd | 38 - man/i18n.Rd | 13 man/import-copypaste.Rd | 176 ++-- man/import-file.Rd | 215 +++--- man/import-globalenv.Rd | 228 +++--- man/import-googlesheets.Rd | 176 ++-- man/import-modal.Rd | 206 ++--- man/list_pkg_data.Rd | 42 - man/show_data.Rd | 144 ++-- man/update-variables.Rd | 178 ++--- man/validation.Rd | 147 ++-- tests/testthat.R | 8 tests/testthat/test-filter-data.R | 284 ++++---- tests/testthat/test-i18n.R | 153 ++-- tests/testthat/test-import-modal.R | 32 vignettes/figures/i18n |only vignettes/i18n.Rmd | 216 +++--- 49 files changed, 4595 insertions(+), 4297 deletions(-)
Title: Reimplementations of Functions Introduced Since R-3.0.0
Description: Functions introduced or changed since R v3.0.0 are re-implemented in this
package. The backports are conditionally exported in order to let R resolve
the function name to either the implemented backport, or the respective base
version, if available. Package developers can make use of new functions or
arguments by selectively importing specific backports to
support older installations.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>),
R Core Team [aut]
Maintainer: Michel Lang <michellang@gmail.com>
Diff between backports versions 1.3.0 dated 2021-10-27 and 1.4.0 dated 2021-11-23
DESCRIPTION | 6 +++--- MD5 | 20 +++++++++++++++----- NAMESPACE | 4 ++++ NEWS.md | 6 ++++++ R/dotsNames.R |only R/import.R | 2 ++ R/paste.R |only R/paste0.R |only README.md |only man/dotsNames.Rd |only man/paste.Rd |only man/paste0.Rd |only src/dotsNames.c |only src/init.c | 2 ++ tests/test_dotsNames.R |only tests/test_paste.R |only 16 files changed, 32 insertions(+), 8 deletions(-)
Title: R Interface for Apache Sedona
Description: R interface for 'Apache Sedona' based on 'sparklyr'
(<https://sedona.apache.org>).
Author: Apache Sedona [aut, cre],
Jia Yu [ctb, cph],
Yitao Li [aut, cph] (<https://orcid.org/0000-0002-1261-905X>),
The Apache Software Foundation [cph],
RStudio [cph]
Maintainer: Apache Sedona <private@sedona.apache.org>
Diff between apache.sedona versions 1.1.0 dated 2021-10-11 and 1.1.1 dated 2021-11-23
DESCRIPTION | 6 +++--- MD5 | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-)
Title: Nonparametric Probability Density Estimator
Description: Farmer, J., D. Jacobs (2108) <DOI:10.1371/journal.pone.0196937>. A nonparametric density estimator based on the maximum-entropy method. Accurately predicts a probability density function (PDF) for random data using a novel iterative scoring function to determine the best fit without overfitting to the sample.
Author: Jenny Farmer <jfarmer6@uncc.edu> and Donald Jacobs <djacobs1@uncc.ecu>
Maintainer: Jenny Farmer <jfarmer6@uncc.edu>
Diff between PDFEstimator versions 3.0 dated 2021-08-21 and 3.1 dated 2021-11-23
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- NAMESPACE | 2 ++ R/convertToPDFe.R | 20 +++++++++++++++++--- R/getTarget.R | 4 ++-- R/plot.R | 20 ++++++++++++++++---- R/plotBeta.R | 6 ++---- man/plot.Rd | 4 +++- 8 files changed, 53 insertions(+), 25 deletions(-)
Title: Statistical Methods for Regional Counts
Description: Implements statistical methods for analyzing the counts of areal data,
with a focus on the detection of spatial clusters and clustering. The package
has a heavy emphasis on spatial scan methods, which were first introduced
by Kulldorff and Nagarwalla (1995) <doi:10.1002/sim.4780140809> and
Kulldorff (1997) <doi:10.1080/03610929708831995>.
Author: Joshua French [aut, cre] (<https://orcid.org/0000-0002-9708-3353>),
Mohammad Meysami [ctb] (<https://orcid.org/0000-0002-3322-5244>)
Maintainer: Joshua French <joshua.french@ucdenver.edu>
Diff between smerc versions 1.5 dated 2021-10-01 and 1.5.2 dated 2021-11-23
smerc-1.5.2/smerc/DESCRIPTION | 11 +++-- smerc-1.5.2/smerc/MD5 | 27 ++++++------ smerc-1.5.2/smerc/NAMESPACE | 1 smerc-1.5.2/smerc/R/bn.zones.R | 2 smerc-1.5.2/smerc/R/clusters-method.R |only smerc-1.5.2/smerc/R/clusters-smerc_cluster.R |only smerc-1.5.2/smerc/R/color.clusters.R | 21 +++++++-- smerc-1.5.2/smerc/R/smerc_cluster-plot.R | 19 ++++++-- smerc-1.5.2/smerc/R/smerc_cluster-summary.R | 24 ++++++++--- smerc-1.5.2/smerc/inst/doc/smerc_demo.html | 54 ++++++++++++------------- smerc-1.5.2/smerc/man/clusters.Rd | 23 ++++++---- smerc-1.5.2/smerc/man/color.clusters.Rd | 21 ++++++++- smerc-1.5.2/smerc/man/plot.smerc_cluster.Rd | 15 +++++- smerc-1.5.2/smerc/man/summary.smerc_cluster.Rd | 20 ++++++++- smerc-1.5.2/smerc/tests/test-all.R | 11 +++-- smerc-1.5/smerc/R/clusters.R |only 16 files changed, 167 insertions(+), 82 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 0.8.2 dated 2021-09-27 and 0.8.3 dated 2021-11-23
DESCRIPTION | 10 MD5 | 54 ++-- NAMESPACE | 1 R/ARMA.R | 186 +++++++------- R/ARMA_optim.R | 256 ++++++++++---------- R/Boost.R | 23 - R/Causation.R | 3 R/Copula.R | 6 R/Multivariate_Regression.R | 5 R/NNS_Distance.R | 3 R/NNS_VAR.R | 76 ++++- R/Normalization.R | 4 R/Nowcast.R | 18 - R/Partial_Moments.R | 88 +++--- R/Regression.R | 33 +- R/Stack.R | 25 - R/Uni_Causation.R | 4 R/dy_d_wrt.R | 15 - R/gvload.R | 1 inst/doc/NNSvignette_Classification.html | 10 inst/doc/NNSvignette_Clustering_and_Regression.html | 4 inst/doc/NNSvignette_Forecasting.html | 9 man/NNS.ARMA.Rd | 11 man/NNS.ARMA.optim.Rd | 9 man/NNS.VAR.Rd | 9 man/NNS.norm.Rd | 2 man/NNS.nowcast.Rd | 4 man/NNS.reg.Rd | 2 28 files changed, 459 insertions(+), 412 deletions(-)
Title: Matrix Profile for R
Description: This is the core functions needed by the 'tsmp' package. The
low level and carefully checked mathematical functions are here.
These are implementations of the Matrix Profile concept that was
created by CS-UCR <http://www.cs.ucr.edu/~eamonn/MatrixProfile.html>.
Author: Francisco Bischoff [aut, cre] (<https://orcid.org/0000-0002-5301-8672>),
Michael Yeh [res, ccp, ctb] (<https://orcid.org/0000-0002-9807-2963>),
Diego Silva [res, ccp, ctb] (<https://orcid.org/0000-0002-5184-9413>),
Yan Zhu [res, ccp, ctb] (<https://orcid.org/0000-0002-5952-2108>),
Hoang Dau [res, ccp, ctb] (<https://orcid.org/0000-0003-2439-5185>),
Michele Linardi [res, ccp, ctb]
(<https://orcid.org/0000-0002-3249-2068>)
Maintainer: Francisco Bischoff <fbischoff@med.up.pt>
Diff between matrixprofiler versions 0.1.5 dated 2021-05-26 and 0.1.7 dated 2021-11-23
DESCRIPTION | 10 MD5 | 22 - NEWS | 59 ++- R/RcppExports.R | 414 +++++++++++++-------------- R/mass.R | 3 R/math.R | 501 ++++++++++++++++----------------- R/windowfunc.R | 784 ++++++++++++++++++++++++++-------------------------- README.md | 300 +++++++++---------- inst/WORDLIST | 4 man/mp_algos.Rd | 2 src/Makevars | 6 src/RcppExports.cpp | 5 12 files changed, 1065 insertions(+), 1045 deletions(-)
More information about matrixprofiler at CRAN
Permanent link
Title: GBIF Dataset Explorer
Description: Functions to explore datasets from the Global Biodiversity Information Facility (GBIF - <https://www.gbif.org/>) using a Shiny interface.
Author: Luis J Villanueva [aut, cre]
Maintainer: Luis J Villanueva <villanueval@si.edu>
Diff between gde versions 0.1.4 dated 2020-09-17 and 0.2.0 dated 2021-11-23
gde-0.1.4/gde/inst/shinyApp/gde_settings.R |only gde-0.1.4/gde/inst/shinyApp/gde_settings.R.template |only gde-0.2.0/gde/DESCRIPTION | 14 gde-0.2.0/gde/MD5 | 20 - gde-0.2.0/gde/NAMESPACE | 6 gde-0.2.0/gde/NEWS | 4 gde-0.2.0/gde/R/load_gbif_dwc.R | 224 ++++----------- gde-0.2.0/gde/R/shinyAppServer.R | 286 +++++++++++++------- gde-0.2.0/gde/R/shinyAppUI.R | 13 gde-0.2.0/gde/README.md | 2 gde-0.2.0/gde/man/load_gbif_dwc.Rd | 6 gde-0.2.0/gde/man/shinyAppUI.Rd | 2 12 files changed, 299 insertions(+), 278 deletions(-)
Title: The Machine Learning and AI Modeling Companion to 'healthyR'
Description: Hospital machine learning and ai data analysis workflow tools, modeling, and automations.
This library provides many useful tools to review common administrative
hospital data. Some of these include predicting length of stay, and readmits.
The aim is to provide a simple and consistent verb framework that takes the
guesswork out of everything.
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>
Diff between healthyR.ai versions 0.0.2 dated 2021-09-02 and 0.0.3 dated 2021-11-23
DESCRIPTION | 14 +- MD5 | 49 +++++++-- NAMESPACE | 25 ++++ NEWS.md | 20 +++ R/00_global_variables.R | 2 R/augment-hai-fourier-discrete.R |only R/augment-hai-fourier.R |only R/augment-hai-hyperbolic.R |only R/augment-hai-polynomial.R |only R/hai-data-impute-missing.R |only R/hai-data-poly.R |only R/hai-data-scale.R |only R/hai-data-transform.R |only R/hai-data-trig.R |only R/step-hai-fourier-discrete.R |only R/step-hai-fourier.R |only R/step-hai-hyperbolic.R |only R/vec-hai-fourier-discrete.R |only R/vec-hai-fourier.R |only R/vec-hai-hyperbolic.R |only R/zzz.R | 110 ++++++++++++++++++++ inst/doc/getting-started.html | 189 ++++++++++++++++++------------------ man/figures/README-example-1.png |binary man/figures/README-example-2.png |binary man/hai_data_impute.Rd |only man/hai_data_poly.Rd |only man/hai_data_scale.Rd |only man/hai_data_transform.Rd |only man/hai_data_trig.Rd |only man/hai_fourier_augment.Rd |only man/hai_fourier_discrete_augment.Rd |only man/hai_fourier_discrete_vec.Rd |only man/hai_fourier_vec.Rd |only man/hai_hyperbolic_augment.Rd |only man/hai_hyperbolic_vec.Rd |only man/hai_polynomial_augment.Rd |only man/pca_your_recipe.Rd | 7 + man/required_pkgs.healthyR.ai.Rd |only man/step_hai_fourier.Rd |only man/step_hai_fourier_discrete.Rd |only man/step_hai_hyperbolic.Rd |only 41 files changed, 306 insertions(+), 110 deletions(-)
Title: Bayesian Nonparametric Mixture Models
Description: Functions to perform Bayesian nonparametric univariate and multivariate density estimation and clustering, by means of Pitman-Yor mixtures, and dependent Dirichlet process mixtures for partially exchangeable data. See Corradin et al. (2021) <doi:10.18637/jss.v100.i15> for more details.
Author: Riccardo Corradin [aut, cre], Antonio Canale [ctb], Bernardo Nipoti [ctb]
Maintainer: Riccardo Corradin <riccardo.corradin@gmail.com>
Diff between BNPmix versions 0.2.9 dated 2021-07-25 and 1.0.0 dated 2021-11-23
BNPmix-0.2.9/BNPmix/vignettes/Figures/univariate.pdf |only BNPmix-1.0.0/BNPmix/DESCRIPTION | 10 BNPmix-1.0.0/BNPmix/MD5 | 35 BNPmix-1.0.0/BNPmix/R/DDPdensity.R | 9 BNPmix-1.0.0/BNPmix/R/PYdensity.R | 14 BNPmix-1.0.0/BNPmix/R/PYregression.R | 16 BNPmix-1.0.0/BNPmix/inst/CITATION |only BNPmix-1.0.0/BNPmix/inst/doc/BNPmix.ltx | 2513 ++++++++---------- BNPmix-1.0.0/BNPmix/inst/doc/BNPmix.pdf |binary BNPmix-1.0.0/BNPmix/man/BNPmix-package.Rd | 2 BNPmix-1.0.0/BNPmix/man/DDPdensity.Rd | 8 BNPmix-1.0.0/BNPmix/man/PYdensity.Rd | 14 BNPmix-1.0.0/BNPmix/man/PYregression.Rd | 16 BNPmix-1.0.0/BNPmix/vignettes/BNPmix.ltx | 2513 ++++++++---------- BNPmix-1.0.0/BNPmix/vignettes/Figures/ddp.pdf |binary BNPmix-1.0.0/BNPmix/vignettes/Figures/dendro.pdf |binary BNPmix-1.0.0/BNPmix/vignettes/Figures/mosaic.pdf |binary BNPmix-1.0.0/BNPmix/vignettes/Figures/regression.pdf |binary BNPmix-1.0.0/BNPmix/vignettes/Figures/univariate1.pdf |only BNPmix-1.0.0/BNPmix/vignettes/Figures/univariate2.pdf |binary 20 files changed, 2583 insertions(+), 2567 deletions(-)
Title: Read, Validate, Analyze, and Map GTFS Feeds
Description: Read General Transit Feed Specification (GTFS) zipfiles into a list of R dataframes. Perform validation of the data structure against the specification. Analyze the headways and frequencies at routes and stops. Create maps and perform spatial analysis on the routes and stops. Please see the GTFS documentation here for more detail: <https://gtfs.org/>.
Author: Flavio Poletti [aut, cre],
Daniel Herszenhut [aut] (<https://orcid.org/0000-0001-8066-1105>),
Mark Padgham [aut],
Tom Buckley [aut],
Danton Noriega-Goodwin [aut],
Angela Li [ctb],
Elaine McVey [ctb],
Charles Hans Thompson [ctb],
Michael Sumner [ctb],
Patrick Hausmann [ctb],
Bob Rudis [ctb],
James Lamb [ctb],
Alexandra Kapp [ctb],
Kearey Smith [ctb],
Dave Vautin [ctb],
Kyle Walker [ctb]
Maintainer: Flavio Poletti <flavio.poletti@hotmail.ch>
Diff between tidytransit versions 1.1.0 dated 2021-07-26 and 1.2.0 dated 2021-11-23
tidytransit-1.1.0/tidytransit/tests/testthat/Rplots.pdf |only tidytransit-1.2.0/tidytransit/DESCRIPTION | 16 tidytransit-1.2.0/tidytransit/MD5 | 68 tidytransit-1.2.0/tidytransit/NAMESPACE | 4 tidytransit-1.2.0/tidytransit/R/data.R | 4 tidytransit-1.2.0/tidytransit/R/frequencies.R | 107 tidytransit-1.2.0/tidytransit/R/io.R | 3 tidytransit-1.2.0/tidytransit/R/joins.R | 2 tidytransit-1.2.0/tidytransit/R/raptor.R | 24 tidytransit-1.2.0/tidytransit/R/spec.R | 2 tidytransit-1.2.0/tidytransit/R/summary.R | 2 tidytransit-1.2.0/tidytransit/R/time.R | 20 tidytransit-1.2.0/tidytransit/R/transitfeeds.R | 4 tidytransit-1.2.0/tidytransit/build/vignette.rds |binary tidytransit-1.2.0/tidytransit/inst/doc/frequency.R |only tidytransit-1.2.0/tidytransit/inst/doc/frequency.Rmd |only tidytransit-1.2.0/tidytransit/inst/doc/frequency.html |only tidytransit-1.2.0/tidytransit/inst/doc/introduction.R | 104 tidytransit-1.2.0/tidytransit/inst/doc/introduction.Rmd | 12 tidytransit-1.2.0/tidytransit/inst/doc/introduction.html | 612 ++--- tidytransit-1.2.0/tidytransit/inst/doc/servicepatterns.R | 322 +- tidytransit-1.2.0/tidytransit/inst/doc/servicepatterns.Rmd | 2 tidytransit-1.2.0/tidytransit/inst/doc/servicepatterns.html | 748 +++--- tidytransit-1.2.0/tidytransit/inst/doc/timetable.R | 248 +- tidytransit-1.2.0/tidytransit/inst/doc/timetable.html | 1094 +++++----- tidytransit-1.2.0/tidytransit/man/feedlist.Rd | 2 tidytransit-1.2.0/tidytransit/man/filter_feed_by_date.Rd | 12 tidytransit-1.2.0/tidytransit/man/filter_stop_times.Rd | 8 tidytransit-1.2.0/tidytransit/man/get_route_frequency.Rd |only tidytransit-1.2.0/tidytransit/man/get_stop_frequency.Rd | 29 tidytransit-1.2.0/tidytransit/man/gtfs_duke.Rd | 2 tidytransit-1.2.0/tidytransit/tests/testthat/test-headways.R | 16 tidytransit-1.2.0/tidytransit/tests/testthat/test-raptor.R | 6 tidytransit-1.2.0/tidytransit/tests/testthat/test-read-gtfs.R | 17 tidytransit-1.2.0/tidytransit/tests/testthat/test-time.R | 32 tidytransit-1.2.0/tidytransit/vignettes/frequency.Rmd |only tidytransit-1.2.0/tidytransit/vignettes/introduction.Rmd | 12 tidytransit-1.2.0/tidytransit/vignettes/servicepatterns.Rmd | 2 38 files changed, 1826 insertions(+), 1710 deletions(-)
Title: Highest Density Regions and Other Functions of Distributions
Description: Highest Density Regions are the smallest set in the support of a
probability distribution with the specified coverage probability. 'HDRs'
may contain disjoint intervals, but can be calculated efficiently using
iterative methods. One can similarly construct optimal (i.e., shortest)
confidence intervals for some basic inferential problems, including for
population means, variances, or proportion parameters.
Author: Ben O'Neill [aut, cph],
Neal Fultz [cre, ctb]
Maintainer: Neal Fultz <nfultz@gmail.com>
Diff between stat.extend versions 0.2.0 dated 2021-11-20 and 0.2.1 dated 2021-11-23
DESCRIPTION | 6 +++--- MD5 | 4 ++-- tests/test-matching.R | 4 ++-- 3 files changed, 7 insertions(+), 7 deletions(-)
Title: Isotonic Inference for Circular Data
Description: A bunch of functions to deal with circular data under order restrictions.
Author: Sandra Barragan, Miguel A. Fernandez and Cristina Rueda.
Maintainer: Sandra Barragan <sandra.barragan@gmail.com>
Diff between isocir versions 2.0-6 dated 2016-12-09 and 2.0-7 dated 2021-11-23
isocir-2.0-6/isocir/vignettes/isocir.tex |only isocir-2.0-7/isocir/DESCRIPTION | 8 ++-- isocir-2.0-7/isocir/MD5 | 44 ++++++++++++------------ isocir-2.0-7/isocir/NAMESPACE | 2 - isocir-2.0-7/isocir/R/ACO.R | 2 - isocir-2.0-7/isocir/build/vignette.rds |binary isocir-2.0-7/isocir/inst/CITATION | 2 - isocir-2.0-7/isocir/inst/doc/isocir.R | 1 isocir-2.0-7/isocir/inst/doc/isocir.pdf |binary isocir-2.0-7/isocir/man/ACO.Rd | 4 +- isocir-2.0-7/isocir/man/CIRE.Rd | 4 +- isocir-2.0-7/isocir/man/CLM.Rd | 2 - isocir-2.0-7/isocir/man/cirKendall.Rd | 2 - isocir-2.0-7/isocir/man/cirgenes.Rd | 4 +- isocir-2.0-7/isocir/man/cond.test.Rd | 8 ++-- isocir-2.0-7/isocir/man/eq.test.Rd | 4 +- isocir-2.0-7/isocir/man/isocir-package.Rd | 8 ++-- isocir-2.0-7/isocir/man/isocir.Rd | 2 - isocir-2.0-7/isocir/man/mcirktau.Rd | 2 - isocir-2.0-7/isocir/man/mrl.Rd | 4 +- isocir-2.0-7/isocir/man/msce.Rd | 2 - isocir-2.0-7/isocir/man/plot.isocir.Rd | 2 - isocir-2.0-7/isocir/man/sce.Rd | 4 +- isocir-2.0-7/isocir/src/registerDynamicSymbol.c |only 24 files changed, 55 insertions(+), 56 deletions(-)
Title: Hidden Hybrid Markov/Semi-Markov Model Fitting
Description: Develops algorithms for fitting, prediction, simulation and initialization of the hidden hybrid Markov/semi-Markov model, introduced by Guedon (2005) <doi:10.1016/j.csda.2004.05.033>.
Author: Morteza Amini [aut, cre, cph],
Afarin Bayat [aut]
Maintainer: Morteza Amini <morteza.amini@ut.ac.ir>
Diff between hhsmm versions 0.2.1 dated 2021-10-18 and 0.2.2 dated 2021-11-23
DESCRIPTION | 9 ++--- MD5 | 24 +++++++++---- NAMESPACE | 4 ++ R/dmixlm.R |only R/initial-cluster.R | 28 +++++++++++---- R/initial-estimate.R | 2 - R/kreg.R |only R/ltr-clus.R | 6 ++- R/ltr_reg_clus.R |only R/ltr_reg_clus2.R |only R/mstep-mix-lm.R |only R/rmixlm.R |only R/simulate-hhsmm.R | 87 +++++++++++++++++++++++++------------------------ man/dmixlm.Rd |only man/initial_cluster.Rd | 11 +++++- man/ltr_reg_clus.Rd |only man/mixlm_mstep.Rd |only man/rmixlm.Rd |only 18 files changed, 107 insertions(+), 64 deletions(-)
Title: Quadratic Forms in Large Matrices
Description: A computationally-efficient leading-eigenvalue approximation to tail probabilities and quantiles of large quadratic forms, in particular for the Sequence Kernel Association Test (SKAT) used in genomics <doi:10.1002/gepi.22136>. Also provides stochastic singular value decomposition for dense or sparse matrices.
Author: Thomas Lumley
Maintainer: Thomas Lumley <t.lumley@auckland.ac.nz>
Diff between bigQF versions 1.5 dated 2021-11-08 and 1.6 dated 2021-11-23
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- R/pchisqsum_lmf.R | 11 ++++++++--- R/pchisqsum_smf.R | 11 ++++++++--- build/partial.rdb |binary 5 files changed, 23 insertions(+), 13 deletions(-)
Title: Robust Methods for High-Dimensional Data
Description: Robust methods for high-dimensional data, in particular linear
model selection techniques based on least angle regression and sparse
regression.
Author: Andreas Alfons [aut, cre]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
Diff between robustHD versions 0.7.1 dated 2021-10-13 and 0.7.2 dated 2021-11-23
DESCRIPTION | 10 +++++---- MD5 | 13 ++++++------ NEWS | 9 ++++++++ build/partial.rdb |binary data/TopGear.RData |binary data/nci60.RData |binary inst/CITATION |only man/robustHD-package.Rd | 49 ++++++++++++++++++++++++++---------------------- 8 files changed, 49 insertions(+), 32 deletions(-)
Title: Build and Raytrace 3D Scenes
Description: Render scenes using pathtracing. Build 3D scenes out of spheres, cubes, planes, disks, triangles, cones, curves, line segments, cylinders, ellipsoids, and 3D models in the 'Wavefront' OBJ file format or the PLY Polygon File Format. Supports several material types, textures, multicore rendering, and tone-mapping. Based on the "Ray Tracing in One Weekend" book series. Peter Shirley (2018) <https://raytracing.github.io>.
Author: Tyler Morgan-Wall [aut, cph, cre]
(<https://orcid.org/0000-0002-3131-3814>),
Syoyo Fujita [ctb, cph],
Melissa O'Neill [ctb, cph],
Vilya Harvey [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>
Diff between rayrender versions 0.21.2 dated 2021-04-07 and 0.23.6 dated 2021-11-23
DESCRIPTION | 17 MD5 | 257 +++---- NAMESPACE | 1 R/animate_objects.R |only R/convert_color.R | 4 R/csg_construct.R | 29 R/generate_camera_motion.R | 5 R/generate_studio.R | 4 R/group_objects.R | 84 +- R/materials.R | 192 +++-- R/objects.R | 305 ++++---- R/pig.R | 20 R/plot_map.R | 4 R/render_animation.R | 86 +- R/render_scene.R | 233 ++++-- R/util-functions.R | 120 +++ inst/testdata |only inst/tests |only man/RotateAxis.Rd |only man/RotateX.Rd |only man/RotateY.Rd |only man/RotateZ.Rd |only man/animate_objects.Rd |only man/arrow.Rd | 3 man/bezier_curve.Rd | 11 man/cone.Rd | 3 man/csg_object.Rd | 15 man/cube.Rd | 5 man/cylinder.Rd | 12 man/dielectric.Rd | 2 man/disk.Rd | 7 man/ellipsoid.Rd | 3 man/extruded_polygon.Rd | 2 man/generate_camera_motion.Rd | 5 man/generate_rotation_matrix.Rd |only man/generate_translation_matrix.Rd |only man/glossy.Rd | 22 man/group_objects.Rd | 45 - man/mesh3d_model.Rd | 2 man/microfacet.Rd | 31 man/obj_model.Rd | 13 man/path.Rd | 11 man/pig.Rd | 10 man/render_animation.Rd | 2 man/render_scene.Rd | 20 man/segment.Rd | 8 man/sphere.Rd | 12 man/text3d.Rd | 3 src/Makevars | 2 src/RcppExports.cpp | 5 src/aabb.cpp | 24 src/aabb.h | 85 +- src/adaptivesampler.h | 5 src/animatedtransform.cpp |only src/animatedtransform.h |only src/box.cpp | 48 + src/box.h | 29 src/buildscene.cpp | 1335 ++++++++++++++----------------------- src/buildscene.h | 19 src/bvh_node.cpp | 29 src/bvh_node.h | 11 src/camera.cpp | 17 src/camera.h | 32 src/color.cpp | 63 + src/color.h | 6 src/cone.cpp | 205 +++-- src/cone.h | 15 src/constant.cpp | 12 src/constant.h | 8 src/csg.cpp | 61 + src/csg.h | 373 +++++----- src/curve.cpp | 218 +++--- src/curve.h | 26 src/cylinder.cpp | 241 ++++-- src/cylinder.h | 17 src/debug.cpp | 281 +++++++ src/debug.h | 390 ++++++++++ src/disk.cpp | 93 +- src/disk.h | 21 src/distributions.cpp | 6 src/distributions.h | 4 src/efloat.h |only src/ellipsoid.cpp | 194 ++++- src/ellipsoid.h | 26 src/filter.cpp |only src/filter.h |only src/globalsampler.h | 10 src/hitable.cpp | 412 +---------- src/hitable.h | 332 +-------- src/hitablelist.cpp | 8 src/hitablelist.h | 8 src/infinite_area_light.cpp | 178 +++- src/infinite_area_light.h | 19 src/integrator.cpp | 13 src/integrator.h | 1 src/interval.h |only src/material.cpp | 396 ++++++---- src/material.h | 141 +-- src/mathinline.h | 492 ++++++++++--- src/matrix.cpp |only src/matrix.h |only src/medium.h |only src/mesh3d.cpp | 46 - src/mesh3d.h | 6 src/microfacetdist.cpp | 137 +++ src/microfacetdist.h | 117 +-- src/normal.h |only src/onbh.h | 40 - src/pdf.cpp | 280 +++++++ src/pdf.h | 193 +---- src/perlin.cpp | 8 src/perlin.h | 15 src/plymesh.cpp | 26 src/plymesh.h | 6 src/point2.h |only src/point3.h |only src/quaternion.cpp |only src/quaternion.h |only src/ray.h | 29 src/rectangle.cpp | 332 ++++++--- src/rectangle.h | 132 --- src/render_animation_rcpp.cpp | 102 +- src/render_scene_rcpp.cpp | 157 +++- src/rng.cpp | 20 src/rng.h | 9 src/sampler.cpp | 30 src/sampler.h | 23 src/smoothing.h | 6 src/sphere.cpp | 513 +++++--------- src/sphere.h | 51 - src/texture.cpp | 41 - src/texture.h | 89 +- src/tonemap.h | 5 src/transform.cpp |only src/transform.h |only src/transformcache.cpp |only src/transformcache.h |only src/triangle.cpp | 114 +-- src/triangle.h | 37 - src/trimesh.cpp | 220 ++++-- src/trimesh.h | 25 src/vec2.h | 109 +-- src/vec3.h | 200 +++-- 143 files changed, 6223 insertions(+), 4414 deletions(-)
Title: Utilities for Working with Air Quality Monitoring Data
Description: Utilities for working with air quality monitoring data
with a focus on small particulates (PM2.5) generated by wildfire
smoke. Functions are provided for downloading available data from
the United States 'EPA' <https://www.epa.gov/outdoor-air-quality-data> and
it's 'AirNow' air quality site <https://www.airnow.gov>.
Additional sources of PM2.5 data made accessible by the package include:
'AIRSIS' (aka "Oceaneering", not public)
and 'WRCC' <https://wrcc.dri.edu/cgi-bin/smoke.pl>.
Data compilations are hosted by the USFS 'AirFire' research team
<https://www.airfire.org>.
Author: Jonathan Callahan [aut, cre],
Hans Martin [ctb],
Spencer Pease [ctb],
Helen Miller [ctb],
Zach Dingels [ctb],
Rohan Aras [ctb],
Jon Hagg [ctb],
Jimin Kim [ctb],
Rex Thompson [ctb],
Alice Yang [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>
Diff between PWFSLSmoke versions 1.2.111 dated 2020-07-02 and 1.2.117 dated 2021-11-23
PWFSLSmoke-1.2.111/PWFSLSmoke/R/monitor_trend.R |only PWFSLSmoke-1.2.111/PWFSLSmoke/R/openaq_assignStateCode.R |only PWFSLSmoke-1.2.111/PWFSLSmoke/R/openaq_createDataDataframes.R |only PWFSLSmoke-1.2.111/PWFSLSmoke/R/openaq_createMetaDataframes.R |only PWFSLSmoke-1.2.111/PWFSLSmoke/R/openaq_downloadData.R |only PWFSLSmoke-1.2.111/PWFSLSmoke/inst/doc/Example_Save_Data_as_CSV.R |only PWFSLSmoke-1.2.111/PWFSLSmoke/inst/doc/Example_Save_Data_as_CSV.Rmd |only PWFSLSmoke-1.2.111/PWFSLSmoke/inst/doc/Example_Save_Data_as_CSV.html |only PWFSLSmoke-1.2.111/PWFSLSmoke/vignettes/Example_Save_Data_as_CSV.Rmd |only PWFSLSmoke-1.2.117/PWFSLSmoke/DESCRIPTION | 54 PWFSLSmoke-1.2.117/PWFSLSmoke/MD5 | 415 +-- PWFSLSmoke-1.2.117/PWFSLSmoke/NAMESPACE | 1 PWFSLSmoke-1.2.117/PWFSLSmoke/R/PWFSLSmoke-deprecated.R | 354 +-- PWFSLSmoke-1.2.117/PWFSLSmoke/R/PWFSLSmoke.R | 36 PWFSLSmoke-1.2.117/PWFSLSmoke/R/addAQILegend.R | 16 PWFSLSmoke-1.2.117/PWFSLSmoke/R/addAQIStackedBar.R | 10 PWFSLSmoke-1.2.117/PWFSLSmoke/R/addBullseye.R | 10 PWFSLSmoke-1.2.117/PWFSLSmoke/R/addClustering.R | 2 PWFSLSmoke-1.2.117/PWFSLSmoke/R/addEsriAddress.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/addGoogleAddress.R | 2 PWFSLSmoke-1.2.117/PWFSLSmoke/R/addGoogleElevation.R | 2 PWFSLSmoke-1.2.117/PWFSLSmoke/R/addIcon.R | 26 PWFSLSmoke-1.2.117/PWFSLSmoke/R/addMarker.R | 27 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airnow_createDataDataframes.R | 8 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airnow_createMetaDataframes.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airnow_createMonitorObjects.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airnow_downloadHourlyData.R | 8 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airnow_downloadParseData.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airnow_downloadSites.R | 31 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airnow_load.R | 10 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airnow_loadAnnual.R | 9 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airnow_loadDaily.R | 7 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airnow_loadLatest.R | 7 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airnow_qualityControl.R | 2 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airsis_BAM1020QualityControl.R | 24 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airsis_EBAMQualityControl.R | 3 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airsis_EBAM_MULTI2QualityControl.R | 3 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airsis_EBAM_MULTI2_BQualityControl.R |only PWFSLSmoke-1.2.117/PWFSLSmoke/R/airsis_EBAM_PLUS_MULTIQualityControl.R | 19 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airsis_ESAM_MULTIQualityControl.R | 8 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airsis_availableUnits.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airsis_createDataDataframe.R | 14 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airsis_createMonitorObject.R | 18 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airsis_createRawDataframe.R | 7 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airsis_downloadData.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airsis_identifyMonitorType.R | 26 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airsis_loadAnnual.R | 9 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airsis_loadDaily.R | 7 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airsis_loadLatest.R | 7 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airsis_parseData.R | 19 PWFSLSmoke-1.2.117/PWFSLSmoke/R/airsis_qualityControl.R | 4 PWFSLSmoke-1.2.117/PWFSLSmoke/R/aqiColors.R | 22 PWFSLSmoke-1.2.117/PWFSLSmoke/R/aqiPalette.R | 4 PWFSLSmoke-1.2.117/PWFSLSmoke/R/data.R |only PWFSLSmoke-1.2.117/PWFSLSmoke/R/downloadDataFile.R | 12 PWFSLSmoke-1.2.117/PWFSLSmoke/R/epa_createMonitorObject.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/epa_downloadData.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/epa_load.R | 8 PWFSLSmoke-1.2.117/PWFSLSmoke/R/epa_loadAnnual.R | 17 PWFSLSmoke-1.2.117/PWFSLSmoke/R/epa_parseData.R | 13 PWFSLSmoke-1.2.117/PWFSLSmoke/R/generic_downloadData.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/generic_parseData.R | 10 PWFSLSmoke-1.2.117/PWFSLSmoke/R/loadDaily.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/loadLatest.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_collapse.R | 18 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_combine.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_dailyBarplot.R | 24 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_dailyStatistic.R | 2 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_dailyStatisticList.R | 17 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_dailyThreshold.R | 12 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_downloadAnnual.R | 11 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_downloadDaily.R | 15 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_downloadLatest.R | 15 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_dygraph.R | 19 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_getCurrentStatus.R | 8 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_getDailyMean.R | 20 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_isolate.R | 16 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_leaflet.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_load.R | 23 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_loadAnnual.R | 19 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_loadDaily.R | 13 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_loadLatest.R | 13 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_nowcast.R | 2 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_performance.R | 15 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_performanceMap.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_rollingMean.R | 7 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_rollingMeanPlot.R | 30 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_stamenmap.R | 7 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_staticmap.R | 7 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_subset.R | 22 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_subsetByDistance.R | 13 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_trim.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/monitor_writeCurrentStatusGeoJSON.R | 9 PWFSLSmoke-1.2.117/PWFSLSmoke/R/rawPlot_pollutionRose.R | 19 PWFSLSmoke-1.2.117/PWFSLSmoke/R/rawPlot_timeOfDaySpaghetti.R | 21 PWFSLSmoke-1.2.117/PWFSLSmoke/R/rawPlot_timeseries.R | 34 PWFSLSmoke-1.2.117/PWFSLSmoke/R/rawPlot_windRose.R | 15 PWFSLSmoke-1.2.117/PWFSLSmoke/R/raw_enhance.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/raw_getHighlightDates.R | 9 PWFSLSmoke-1.2.117/PWFSLSmoke/R/skill_ROC.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/skill_ROCPlot.R | 19 PWFSLSmoke-1.2.117/PWFSLSmoke/R/staticmap_getEsrimapBrick.R | 27 PWFSLSmoke-1.2.117/PWFSLSmoke/R/staticmap_getRasterBrick.R | 13 PWFSLSmoke-1.2.117/PWFSLSmoke/R/staticmap_getStamenmapBrick.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/staticmap_plotRasterBrick.R | 7 PWFSLSmoke-1.2.117/PWFSLSmoke/R/wrcc_EBAMQualityControl.R | 3 PWFSLSmoke-1.2.117/PWFSLSmoke/R/wrcc_createMonitorObject.R | 9 PWFSLSmoke-1.2.117/PWFSLSmoke/R/wrcc_createRawDataframe.R | 7 PWFSLSmoke-1.2.117/PWFSLSmoke/R/wrcc_downloadData.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/wrcc_identifyMonitorType.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/R/wrcc_loadAnnual.R | 19 PWFSLSmoke-1.2.117/PWFSLSmoke/R/wrcc_loadDaily.R | 15 PWFSLSmoke-1.2.117/PWFSLSmoke/R/wrcc_loadLatest.R | 15 PWFSLSmoke-1.2.117/PWFSLSmoke/R/wrcc_parseData.R | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/README.md | 2 PWFSLSmoke-1.2.117/PWFSLSmoke/build/vignette.rds |binary PWFSLSmoke-1.2.117/PWFSLSmoke/data/Camp_Fire.RData |only 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PWFSLSmoke-1.2.117/PWFSLSmoke/man/addEsriAddress.Rd | 6 PWFSLSmoke-1.2.117/PWFSLSmoke/man/addGoogleAddress.Rd | 2 PWFSLSmoke-1.2.117/PWFSLSmoke/man/addGoogleElevation.Rd | 2 PWFSLSmoke-1.2.117/PWFSLSmoke/man/addIcon.Rd | 17 PWFSLSmoke-1.2.117/PWFSLSmoke/man/addMarker.Rd | 17 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airnow_createDataDataframes.Rd | 8 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airnow_createMetaDataframes.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airnow_createMonitorObjects.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airnow_downloadHourlyData.Rd | 8 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airnow_downloadParseData.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airnow_downloadSites.Rd | 9 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airnow_loadAnnual.Rd | 7 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airnow_loadDaily.Rd | 7 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airnow_loadLatest.Rd | 7 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airnow_qualityControl.Rd | 2 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airsis_EBAMQualityControl.Rd | 2 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airsis_EBAM_MULTI2QualityControl.Rd | 2 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airsis_EBAM_MULTI2_BQualityControl.Rd |only PWFSLSmoke-1.2.117/PWFSLSmoke/man/airsis_EBAM_PLUS_MULTIQualityControl.Rd | 2 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airsis_ESAM_MULTIQualityControl.Rd | 2 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airsis_availableUnits.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airsis_createMonitorObject.Rd | 7 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airsis_createRawDataframe.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airsis_downloadData.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airsis_identifyMonitorType.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airsis_loadAnnual.Rd | 7 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airsis_loadDaily.Rd | 7 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airsis_loadLatest.Rd | 7 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airsis_parseData.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/airsis_qualityControl.Rd | 2 PWFSLSmoke-1.2.117/PWFSLSmoke/man/epa_createMonitorObject.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/epa_downloadData.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/epa_loadAnnual.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/epa_parseData.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/generic_downloadData.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/generic_parseData.Rd | 1 PWFSLSmoke-1.2.117/PWFSLSmoke/man/loadDaily.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/loadLatest.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_combine.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_dailyStatisticList.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_downloadAnnual.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_downloadDaily.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_downloadLatest.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_dygraph.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_getCurrentStatus.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_getDailyMean.Rd | 8 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_leaflet.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_load.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_loadAnnual.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_loadDaily.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_loadLatest.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_nowcast.Rd | 4 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_performance.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_performanceMap.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_stamenmap.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_staticmap.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_subsetByDistance.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_trim.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/monitor_writeCurrentStatusGeoJSON.Rd | 6 PWFSLSmoke-1.2.117/PWFSLSmoke/man/rawPlot_pollutionRose.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/rawPlot_timeOfDaySpaghetti.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/rawPlot_windRose.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/raw_enhance.Rd | 5 PWFSLSmoke-1.2.117/PWFSLSmoke/man/raw_getHighlightDates.Rd | 5 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PWFSLSmoke-1.2.117/PWFSLSmoke/vignettes/PWFSLSmoke.Rmd | 8 PWFSLSmoke-1.2.117/PWFSLSmoke/vignettes/articles |only 215 files changed, 2600 insertions(+), 1643 deletions(-)
Title: Record Linkage Toolkit
Description: Functions to assist in performing probabilistic record linkage and
deduplication: generating pairs, comparing records, em-algorithm for
estimating m- and u-probabilities, forcing one-to-one matching. Can also be
used for pre- and post-processing for machine learning methods for record
linkage.
Author: Jan van der Laan
Maintainer: Jan van der Laan <r@eoos.dds.nl>
Diff between reclin versions 0.1.1 dated 2018-08-09 and 0.1.2 dated 2021-11-23
DESCRIPTION | 10 MD5 | 32 NEWS | 5 R/tabulate_patterns.R | 17 build/vignette.rds |binary inst/doc/deduplication.R | 20 inst/doc/deduplication.html | 706 +++++++++++--------- inst/doc/introduction_to_reclin.R | 32 inst/doc/introduction_to_reclin.html | 1219 +++++++++++++++++------------------ man/compare_pairs.Rd | 11 man/link.Rd | 11 man/linkexample.Rd | 4 man/pair_blocking.Rd | 10 man/predict.problink_em.Rd | 12 man/problink_em.Rd | 9 man/select_n_to_m.Rd | 26 man/town_names.Rd | 4 17 files changed, 1130 insertions(+), 998 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-06-12 2.0
2021-02-13 1.7.0
2020-10-19 1.6.0
2020-07-02 1.5.0
2019-12-13 1.4.0
2019-06-27 1.3.0
2019-01-22 1.2.0
2018-10-19 1.1.0
2018-02-07 1.0.1
2018-01-17 1.0.0
2016-07-23 0.1.8
2016-01-22 0.1.6
2015-10-02 0.1.4
2015-08-06 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-01-08 0.1.2
2015-11-20 0.1.1
2015-10-29 0.1
Title: Tools for Case 2 Best-Worst Scaling
Description: Provides three basic functions that support an implementation of Case 2 (profile case) best-worst scaling. The first is to convert an orthogonal main-effect design into questions, the second is to create a dataset suitable for analysis, and the third is to calculate count-based scores. For details, see Aizaki and Fogarty (2019) <doi:10.1016/j.jocm.2019.100171>.
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>
Diff between support.BWS2 versions 0.3-0 dated 2019-12-02 and 0.3-1 dated 2021-11-23
DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ NEWS | 4 ++++ R/bws2.count.R | 2 +- R/bws2.dataset.paired.R | 4 +++- inst/CITATION | 8 ++++---- man/support.BWS2-package.Rd | 32 ++++++++++++++++++-------------- 7 files changed, 40 insertions(+), 30 deletions(-)
Title: Datasets, Functions and Scripts for Semiparametric Regression
Supporting Harezlak, Ruppert & Wand (2018)
Description: The book "Semiparametric Regression with R" by J. Harezlak, D. Ruppert & M.P. Wand (2018, Springer; ISBN: 978-1-4939-8851-8) makes use of datasets and scripts to explain semiparametric regression concepts. Each of the book's scripts are contained in this package as well as datasets that are not within other R packages. Functions that aid semiparametric regression analysis are also included.
Author: Jaroslaw Harezlak [aut],
David Ruppert [aut],
Matt P. Wand [aut, cre]
Maintainer: Matt P. Wand <matt.wand@uts.edu.au>
Diff between HRW versions 1.0-4 dated 2021-04-08 and 1.0-5 dated 2021-11-23
DESCRIPTION | 8 ++--- MD5 | 58 +++++++++++++++++++++--------------------- R/ZOSull.r | 12 +++++--- data/BCR.rda |binary data/BanglaContrac.rda |binary data/BostonMortgages.rda |binary data/CHD.rda |binary data/SydneyRealEstate.rda |binary data/SydneyRealEstateBdry.rda |binary data/TreasuryRate.rda |binary data/UtahPEF.rda |binary data/WarsawApts.rda |binary data/brainImage.rda |binary data/capm.rda |binary data/carAuction.rda |binary data/coral.rda |binary data/femSBMD.rda |binary data/growthIndiana.rda |binary data/indonRespir.rda |binary data/lidar.rda |binary data/ozoneSub.rda |binary data/plankton.rda |binary data/protein.rda |binary data/ragweed.rda |binary data/scallop.rda |binary data/schoolResults.rda |binary data/yields.rda |binary demo/WarsawAptsGAMfit.R | 4 +- demo/npReg.R | 2 - man/BostonMortgages.Rd | 2 - 30 files changed, 45 insertions(+), 41 deletions(-)
Title: Interface to the 'SymEngine' Library
Description: Provides an R interface to 'SymEngine' <https://github.com/symengine/>,
a standalone 'C++' library for fast symbolic manipulation. The package has functionalities
for symbolic computation like calculating exact mathematical expressions, solving
systems of linear equations and code generation.
Author: Jialin Ma [cre, aut],
Isuru Fernando [aut],
Xin Chen [aut]
Maintainer: Jialin Ma <marlin@inventati.org>
Diff between symengine versions 0.1.5 dated 2020-07-06 and 0.1.6 dated 2021-11-23
DESCRIPTION | 7 - MD5 | 13 +-- README.md | 107 +++++++++++++++++------------ build/vignette.rds |binary configure | 4 + inst/doc/odesystem.html | 140 +++++++++++++++++++++++---------------- inst/doc/quick_start.html | 135 +++++++++++++++++++++++-------------- tools/download_macos_cranlibs.sh |only 8 files changed, 249 insertions(+), 157 deletions(-)
Title: Estimation for Scale-Shape Mixtures of Skew-Normal Distributions
Description: Provide data generation and estimation tools for the multivariate scale mixtures of normal
presented in Lange and Sinsheimer (1993) <doi:10.2307/1390698>, the multivariate scale
mixtures of skew-normal presented in Zeller, Lachos and Vilca (2011)
<doi:10.1080/02664760903406504>, the multivariate skew scale mixtures of normal
presented in Louredo, Zeller and Ferreira (2021) <doi:10.1007/s13571-021-00257-y>
and the multivariate scale mixtures of skew-normal-Cauchy presented in Kahrari et al. (2020)
<doi:10.1080/03610918.2020.1804582>.
Author: Clecio Ferreira [aut],
Diego Gallardo [aut, cre],
Camila Zeller [aut]
Maintainer: Diego Gallardo <diego.gallardo@uda.cl>
Diff between skewMLRM versions 1.4 dated 2021-11-16 and 1.5 dated 2021-11-23
DESCRIPTION | 8 ++--- MD5 | 16 +++++----- NEWS.md | 5 +++ R/estimate.MSCEC.R | 2 - R/estimate.MSCN2.R | 2 - R/mbacksign.R | 80 ++++++++++++++++++++++++++++----------------------- R/print.skewMLRM.R | 2 - R/summary.skewMLRM.R | 2 - man/estimateM.Rd | 6 +-- 9 files changed, 68 insertions(+), 55 deletions(-)
Title: Tools for Descriptive Statistics
Description: A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'BigCamelCase' style was consequently applied to functions borrowed from contributed R packages as well.
Author: Andri Signorell [aut, cre],
Ken Aho [ctb],
Andreas Alfons [ctb],
Nanina Anderegg [ctb],
Tomas Aragon [ctb],
Chandima Arachchige [ctb],
Antti Arppe [ctb],
Adrian Baddeley [ctb],
Kamil Barton [ctb],
Ben Bolker [ctb],
Hans W. Borchers [ctb],
Frederico Caeiro [ctb],
Stephane Champely [ctb],
Daniel Chessel [ctb],
Leanne Chhay [ctb],
Nicholas Cooper [ctb],
Clint Cummins [ctb],
Michael Dewey [ctb],
Harold C. Doran [ctb],
Stephane Dray [ctb],
Charles Dupont [ctb],
Dirk Eddelbuettel [ctb],
Claus Ekstrom [ctb],
Martin Elff [ctb],
Jeff Enos [ctb],
Richard W. Farebrother [ctb],
John Fox [ctb],
Romain Francois [ctb],
Michael Friendly [ctb],
Tal Galili [ctb],
Matthias Gamer [ctb],
Joseph L. Gastwirth [ctb],
Vilmantas Gegzna [ctb],
Yulia R. Gel [ctb],
Sereina Graber [ctb],
Juergen Gross [ctb],
Gabor Grothendieck [ctb],
Frank E. Harrell Jr [ctb],
Richard Heiberger [ctb],
Michael Hoehle [ctb],
Christian W. Hoffmann [ctb],
Soeren Hojsgaard [ctb],
Torsten Hothorn [ctb],
Markus Huerzeler [ctb],
Wallace W. Hui [ctb],
Pete Hurd [ctb],
Rob J. Hyndman [ctb],
Christopher Jackson [ctb],
Matthias Kohl [ctb],
Mikko Korpela [ctb],
Max Kuhn [ctb],
Detlew Labes [ctb],
Friederich Leisch [ctb],
Jim Lemon [ctb],
Dong Li [ctb],
Martin Maechler [ctb],
Arni Magnusson [ctb],
Ben Mainwaring [ctb],
Daniel Malter [ctb],
George Marsaglia [ctb],
John Marsaglia [ctb],
Alina Matei [ctb],
David Meyer [ctb],
Weiwen Miao [ctb],
Giovanni Millo [ctb],
Yongyi Min [ctb],
David Mitchell [ctb],
Franziska Mueller [ctb],
Markus Naepflin [ctb],
Daniel Navarro [ctb],
Henric Nilsson [ctb],
Klaus Nordhausen [ctb],
Derek Ogle [ctb],
Hong Ooi [ctb],
Nick Parsons [ctb],
Sandrine Pavoine [ctb],
Tony Plate [ctb],
Luke Prendergast [ctb],
Roland Rapold [ctb],
William Revelle [ctb],
Tyler Rinker [ctb],
Brian D. Ripley [ctb],
Caroline Rodriguez [ctb],
Nathan Russell [ctb],
Nick Sabbe [ctb],
Ralph Scherer [ctb],
Venkatraman E. Seshan [ctb],
Michael Smithson [ctb],
Greg Snow [ctb],
Karline Soetaert [ctb],
Werner A. Stahel [ctb],
Alec Stephenson [ctb],
Mark Stevenson [ctb],
Ralf Stubner [ctb],
Matthias Templ [ctb],
Duncan Temple Lang [ctb],
Terry Therneau [ctb],
Yves Tille [ctb],
Luis Torgo [ctb],
Adrian Trapletti [ctb],
Joshua Ulrich [ctb],
Kevin Ushey [ctb],
Jeremy VanDerWal [ctb],
Bill Venables [ctb],
John Verzani [ctb],
Pablo J. Villacorta Iglesias [ctb],
Gregory R. Warnes [ctb],
Stefan Wellek [ctb],
Hadley Wickham [ctb],
Rand R. Wilcox [ctb],
Peter Wolf [ctb],
Daniel Wollschlaeger [ctb],
Joseph Wood [ctb],
Ying Wu [ctb],
Thomas Yee [ctb],
Achim Zeileis [ctb]
Maintainer: Andri Signorell <andri@signorell.net>
Diff between DescTools versions 0.99.43 dated 2021-09-09 and 0.99.44 dated 2021-11-23
DESCRIPTION | 8 - MD5 | 24 ++--- NAMESPACE | 6 - NEWS | 17 +++ R/DescTools.r | 235 +++++++++++++++++++++++++++++++++++++++++++++++----- R/StatsAndCIs.r | 223 +++++++++++++++++++++++++------------------------ build/vignette.rds |binary man/BarText.Rd | 2 man/CohenKappa.Rd | 2 man/KrippAlpha.Rd | 7 + man/MultMerge.Rd | 6 + man/PlotProbDist.Rd |only man/Recode.Rd | 2 man/rSum21.Rd |only 14 files changed, 381 insertions(+), 151 deletions(-)
Title: Pipeline Tools Inspired by 'GNU Make'
Description: A suite of tools for transforming an existing workflow into a
self-documenting pipeline with very minimal upfront costs. Segments of
the pipeline are specified in much the same way a 'Make' rule is, by
declaring an executable recipe (which might be an R script), along
with the corresponding targets and dependencies. When the entire
pipeline is run through, only those recipes that need to be executed
will be. Meanwhile, execution metadata is captured behind the scenes
for later inspection.
Author: Kinto Behr [aut, cre, cph]
Maintainer: Kinto Behr <kinto.behr@gmail.com>
Diff between makepipe versions 0.0.5 dated 2021-11-03 and 0.1.0 dated 2021-11-23
makepipe-0.0.5/makepipe/R/makepipe_result.R |only makepipe-0.1.0/makepipe/DESCRIPTION | 9 makepipe-0.1.0/makepipe/MD5 | 46 - makepipe-0.1.0/makepipe/NAMESPACE | 6 makepipe-0.1.0/makepipe/NEWS.md | 45 + makepipe-0.1.0/makepipe/R/Pipeline.R | 614 +++++++++-------- makepipe-0.1.0/makepipe/R/Segment.R |only makepipe-0.1.0/makepipe/R/make.R | 120 --- makepipe-0.1.0/makepipe/R/make_register.R | 18 makepipe-0.1.0/makepipe/R/out_of_date.R | 20 makepipe-0.1.0/makepipe/R/package_datetime.R | 4 makepipe-0.1.0/makepipe/R/params.R | 3 makepipe-0.1.0/makepipe/R/utils.R |only makepipe-0.1.0/makepipe/README.md | 3 makepipe-0.1.0/makepipe/build |only makepipe-0.1.0/makepipe/inst/doc |only makepipe-0.1.0/makepipe/man/Pipeline.Rd | 118 ++- makepipe-0.1.0/makepipe/man/Segment.Rd |only makepipe-0.1.0/makepipe/man/SegmentRecipe.Rd |only makepipe-0.1.0/makepipe/man/SegmentSource.Rd |only makepipe-0.1.0/makepipe/man/make_params.Rd | 4 makepipe-0.1.0/makepipe/man/make_register.Rd | 2 makepipe-0.1.0/makepipe/man/make_with_recipe.Rd | 10 makepipe-0.1.0/makepipe/man/make_with_source.Rd | 9 makepipe-0.1.0/makepipe/tests/testthat/_snaps |only makepipe-0.1.0/makepipe/tests/testthat/test-Pipeline.R | 137 ++- makepipe-0.1.0/makepipe/tests/testthat/test-make.R | 18 makepipe-0.1.0/makepipe/vignettes |only 28 files changed, 699 insertions(+), 487 deletions(-)
Title: Compare Two Data Frames and Summarise the Difference
Description: Easy comparison of two tabular data
objects in R. Specifically designed to show differences between two sets of
data in a useful way that should make it easier to understand the differences,
and if necessary, help you work out how to remedy them. Aims
to offer a more useful output than all.equal() when your two data sets do not
match, but isn't intended to replace all.equal() as a way to test for equality.
Author: Sarah Johnston [aut, cre],
Rob Noble-Eddy [aut],
Merlijn van Horssen [aut],
Krishan Bhasin [aut],
Sarah Pollicott [aut],
Lukas Drapal [ctb],
Nikolaos Perrakis [ctb],
Nikhil Thomas Joy [ctb],
Shahriar Asta [ctb],
Karandeep Lidher [ctb],
Dan Kellett [ctb],
Kevin Chisholm [ctb],
Laura Joy [ctb],
Fergus Wadsley [ctb],
Heather Hackett [ctb],
David Robinson [ctb],
Cheryl Renton [ctb],
Matt Triggs [ctb],
Carola Deppe [ctb],
Ruijing Li [ctb],
John Swift [ctb],
Capital One Services, LLC [cph]
Maintainer: Sarah Johnston <Sarah.Johnston@capitalone.com>
Diff between dataCompareR versions 0.1.3 dated 2020-04-30 and 0.1.4 dated 2021-11-23
DESCRIPTION | 9 LICENSE | 14 - MD5 | 53 ++-- NEWS.md |only R/cd_compareData.R | 2 R/cd_locateMismatches.R | 12 - R/out_generateMismatchData.R | 2 R/out_outputStructureFunctions.R | 2 R/out_printsummaryrcompareobject.R | 2 R/pd_matchRows.R | 4 R/pf_processFlow.R | 2 R/rco_createMismatches.R | 2 R/vd_checkEmpty.R | 2 build/vignette.rds |binary inst/doc/dataCompareR.Rmd | 2 inst/doc/dataCompareR.html | 321 ++++++------------------------ man/collapseClasses.Rd | 2 man/compareData.Rd | 2 man/createMismatches.Rd | 2 man/generateMismatchData.Rd | 2 man/listObsNotVerbose.Rd | 2 man/mismatchHighStop.Rd | 2 man/print.summary.dataCompareRobject.Rd | 2 man/processFlow.Rd | 2 tests/testthat/testCreateMismatchObject.R | 2 tests/testthat/testMatchMultiIndex.R | 34 +++ tests/testthat/testMatchRows.R | 34 +++ vignettes/dataCompareR.Rmd | 2 28 files changed, 201 insertions(+), 316 deletions(-)