Title: Visualize R Data Structures with Trees
Description: A set of tools for inspecting and understanding R data
structures inspired by str(). Includes ast() for visualizing abstract
syntax trees, ref() for showing shared references, cst() for showing
call stack trees, and obj_size() for computing object sizes.
Author: Hadley Wickham [aut, cre],
RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>
Diff between lobstr versions 1.1.0 dated 2019-06-19 and 1.1.1 dated 2019-07-02
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 6 ++++++ R/utils.R | 10 +++++----- src/inspect.cpp | 5 ++++- 5 files changed, 22 insertions(+), 13 deletions(-)
Title: Fast Bayesian Methods for AB Testing
Description: A suite of functions that allow the user to analyze A/B test
data in a Bayesian framework. Intended to be a drop-in replacement for
common frequentist hypothesis test such as the t-test and chi-sq test.
Author: Frank Portman [aut, cre]
Maintainer: Frank Portman <frank1214@gmail.com>
Diff between bayesAB versions 1.1.1 dated 2018-07-14 and 1.1.2 dated 2019-07-02
DESCRIPTION | 13 +- MD5 | 38 +++---- NAMESPACE | 1 NEWS.md | 5 + R/bayesAB.R | 1 R/bayesTest.R | 6 - R/generics.R | 13 +- R/plotDists.R | 16 +-- README.md | 6 - inst/doc/introduction.html | 118 ++++++++++++++---------- man/bayesTest.Rd | 6 - man/plot.bayesTest.Rd | 9 + man/plotDistributions.Rd | 2 man/summary.bayesTest.Rd | 4 vignettes/extra/priors_blog/bern-1.png |binary vignettes/extra/priors_blog/bern-2.png |binary vignettes/extra/priors_blog/bern-3.png |binary vignettes/extra/priors_blog/bern-4.png |binary vignettes/extra/priors_blog/bern-5.png |binary vignettes/extra/priors_blog/strong_priors-1.png |binary 20 files changed, 135 insertions(+), 103 deletions(-)
Title: Visualization and Analysis of Statistical Measures of Confidence
Description: Enables: (1) plotting two-dimensional confidence regions, (2) coverage analysis
of confidence region simulations and (3) calculating confidence intervals and the associated
actual coverage for binomial proportions. Each is given in greater detail next.
(1) Plots the two-dimensional confidence region for probability distribution parameters
(supported distribution suffixes: cauchy, gamma, invgauss, logis, llogis, lnorm, norm, unif,
weibull) corresponding to a user-given complete or right-censored dataset and level of
significance. The crplot() algorithm plots more points in areas of greater curvature to
ensure a smooth appearance throughout the confidence region boundary. An alternative
heuristic plots a specified number of points at roughly uniform intervals along its boundary.
Both heuristics build upon the radial profile log-likelihood ratio technique for plotting
confidence regions given by Jaeger (2016) <doi:10.1080/00031305.2016.1182946>, and
are detailed in a publication by Weld (2019) <doi:10.1080/00031305.2018.1564696>.
(2) Performs confidence region coverage simulations for a random sample drawn from a user-
specified parametric population distribution, or for a user-specified dataset and point of
interest with coversim(). (3) Calculates confidence interval bounds for a binomial
proportion with binomTest(), calculates the actual coverage with binomTestCoverage(), and
plots the actual coverage with binomTestCoveragePlot(). Calculates confidence interval
bounds for the binomial proportion using an ensemble of constituent confidence intervals
with binomTestEnsemble().
Author: Christopher Weld [aut, cre] (<https://orcid.org/0000-0001-5902-9738>),
Hayeon Park [aut],
Lawrence Leemis [aut],
Andrew Loh [ctb],
Yuan Chang [ctb],
Brock Crook [ctb],
Xin Zhang [ctb]
Maintainer: Christopher Weld <ceweld@email.wm.edu>
Diff between conf versions 1.6.0 dated 2019-03-16 and 1.6.1 dated 2019-07-02
DESCRIPTION | 6 +-- MD5 | 22 ++++++------ R/coversim.R | 5 +- R/crplot.R | 77 +++++++++++++++++++++++++++++++----------- inst/doc/coversim.html | 6 +-- inst/doc/crplot.R | 6 ++- inst/doc/crplot.Rmd | 9 +++- inst/doc/crplot.html | 58 ++++++++++++++++--------------- inst/doc/crplot_advanced.html | 10 ++--- man/coversim.Rd | 19 ++-------- man/crplot.Rd | 42 ++++++++++++---------- vignettes/crplot.Rmd | 9 +++- 12 files changed, 158 insertions(+), 111 deletions(-)
Title: Preprocessing Tools to Create Design Matrices
Description: An extensible framework to create and preprocess
design matrices. Recipes consist of one or more data manipulation
and analysis "steps". Statistical parameters for the steps can
be estimated from an initial data set and then applied to
other data sets. The resulting design matrices can then be used
as inputs into statistical or machine learning models.
Author: Max Kuhn [aut, cre],
Hadley Wickham [aut],
RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>
Diff between recipes versions 0.1.5 dated 2019-03-21 and 0.1.6 dated 2019-07-02
recipes-0.1.5/recipes/tests/testthat/test_center_scale.R |only recipes-0.1.6/recipes/DESCRIPTION | 12 recipes-0.1.6/recipes/MD5 | 333 +++++----- recipes-0.1.6/recipes/NAMESPACE | 11 recipes-0.1.6/recipes/NEWS.md | 33 recipes-0.1.6/recipes/R/BoxCox.R | 3 recipes-0.1.6/recipes/R/YeoJohnson.R | 3 recipes-0.1.6/recipes/R/bag_imp.R | 5 recipes-0.1.6/recipes/R/bin2factor.R | 4 recipes-0.1.6/recipes/R/bs.R | 20 recipes-0.1.6/recipes/R/center.R | 5 recipes-0.1.6/recipes/R/classdist.R | 3 recipes-0.1.6/recipes/R/corr.R | 3 recipes-0.1.6/recipes/R/count.R | 6 recipes-0.1.6/recipes/R/date.R | 7 recipes-0.1.6/recipes/R/depth.R | 3 recipes-0.1.6/recipes/R/discretize.R | 8 recipes-0.1.6/recipes/R/downsample.R | 5 recipes-0.1.6/recipes/R/dummy.R | 137 ++-- recipes-0.1.6/recipes/R/factor2string.R | 4 recipes-0.1.6/recipes/R/filter.R | 3 recipes-0.1.6/recipes/R/holiday.R | 6 recipes-0.1.6/recipes/R/hyperbolic.R | 3 recipes-0.1.6/recipes/R/ica.R | 75 +- recipes-0.1.6/recipes/R/integer.R | 3 recipes-0.1.6/recipes/R/interactions.R | 3 recipes-0.1.6/recipes/R/inverse.R | 3 recipes-0.1.6/recipes/R/invlogit.R | 3 recipes-0.1.6/recipes/R/isomap.R | 67 +- recipes-0.1.6/recipes/R/knn_imp.R | 53 + recipes-0.1.6/recipes/R/kpca.R | 54 + recipes-0.1.6/recipes/R/lag.R | 2 recipes-0.1.6/recipes/R/lincombo.R | 3 recipes-0.1.6/recipes/R/log.R | 3 recipes-0.1.6/recipes/R/logit.R | 3 recipes-0.1.6/recipes/R/lowerimpute.R | 3 recipes-0.1.6/recipes/R/meanimpute.R | 3 recipes-0.1.6/recipes/R/medianimpute.R | 3 recipes-0.1.6/recipes/R/misc.R | 11 recipes-0.1.6/recipes/R/modeimpute.R | 3 recipes-0.1.6/recipes/R/mutate.R | 3 recipes-0.1.6/recipes/R/nnmf.R | 110 +-- recipes-0.1.6/recipes/R/normalize.R |only recipes-0.1.6/recipes/R/novel.R | 3 recipes-0.1.6/recipes/R/ns.R | 15 recipes-0.1.6/recipes/R/num2factor.R | 4 recipes-0.1.6/recipes/R/nzv.R | 3 recipes-0.1.6/recipes/R/ordinalscore.R | 3 recipes-0.1.6/recipes/R/other.R | 78 +- recipes-0.1.6/recipes/R/pca.R | 107 +-- recipes-0.1.6/recipes/R/pls.R | 98 +- recipes-0.1.6/recipes/R/poly.R | 5 recipes-0.1.6/recipes/R/range.R | 3 recipes-0.1.6/recipes/R/range_check.R | 3 recipes-0.1.6/recipes/R/recipe.R | 29 recipes-0.1.6/recipes/R/regex.R | 6 recipes-0.1.6/recipes/R/relu.R | 4 recipes-0.1.6/recipes/R/rm.R | 3 recipes-0.1.6/recipes/R/roles.R | 23 recipes-0.1.6/recipes/R/rollimpute.R | 3 recipes-0.1.6/recipes/R/scale.R | 3 recipes-0.1.6/recipes/R/selections.R | 25 recipes-0.1.6/recipes/R/shuffle.R | 4 recipes-0.1.6/recipes/R/spatialsign.R | 3 recipes-0.1.6/recipes/R/sqrt.R | 3 recipes-0.1.6/recipes/R/string2factor.R | 4 recipes-0.1.6/recipes/R/unknown.R |only recipes-0.1.6/recipes/R/unorder.R | 3 recipes-0.1.6/recipes/R/upsample.R | 3 recipes-0.1.6/recipes/R/window.R | 20 recipes-0.1.6/recipes/R/zv.R | 3 recipes-0.1.6/recipes/inst/doc/Custom_Steps.html | 63 - 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Title: Confidence Regions for Optima
Description: Computes confidence regions on the location of response surface optima.
Author: Enrique del Castillo, Peng Chen, Adam Meyers, John Hunt, and James Rapkin
Maintainer: Enrique del Castillo <exd13@psu.edu>
Diff between OptimaRegion versions 0.2 dated 2016-05-23 and 1.1 dated 2019-07-02
OptimaRegion-0.2/OptimaRegion/data/Drug.txt.gz |only OptimaRegion-0.2/OptimaRegion/man/plotConvexHull.Rd |only OptimaRegion-1.1/OptimaRegion/DESCRIPTION | 23 OptimaRegion-1.1/OptimaRegion/MD5 | 42 OptimaRegion-1.1/OptimaRegion/NAMESPACE | 8 OptimaRegion-1.1/OptimaRegion/R/CRcompare.R | 240 ++- OptimaRegion-1.1/OptimaRegion/R/GloptiPolyR.R |only OptimaRegion-1.1/OptimaRegion/R/GloptiPolyRegion.R |only OptimaRegion-1.1/OptimaRegion/R/OptRegionQuad.R | 634 +++++----- OptimaRegion-1.1/OptimaRegion/R/OptRegionTps.R | 504 ++++--- OptimaRegion-1.1/OptimaRegion/R/OptimaRegion.R |only OptimaRegion-1.1/OptimaRegion/R/data.R |only OptimaRegion-1.1/OptimaRegion/R/helper-functions-integrate-GloptiPolyR.R |only OptimaRegion-1.1/OptimaRegion/R/helper-functions-plot-CR.R |only OptimaRegion-1.1/OptimaRegion/R/helper-functions-scaling.R |only OptimaRegion-1.1/OptimaRegion/build |only OptimaRegion-1.1/OptimaRegion/data/Drug.rda |only OptimaRegion-1.1/OptimaRegion/data/cubic_5D.rda |only OptimaRegion-1.1/OptimaRegion/data/quad_3D.rda |only OptimaRegion-1.1/OptimaRegion/inst/REFERENCES.bib |only OptimaRegion-1.1/OptimaRegion/inst/doc/OptimaRegion-manual.pdf |binary OptimaRegion-1.1/OptimaRegion/inst/doc/OptimaRegionVignette.pdf |binary OptimaRegion-1.1/OptimaRegion/man/CRcompare.Rd | 267 ++-- OptimaRegion-1.1/OptimaRegion/man/Drug.Rd | 27 OptimaRegion-1.1/OptimaRegion/man/GloptiPolyR.Rd |only OptimaRegion-1.1/OptimaRegion/man/GloptiPolyRegion.Rd |only OptimaRegion-1.1/OptimaRegion/man/OptRegionQuad.Rd | 209 +-- OptimaRegion-1.1/OptimaRegion/man/OptRegionTps.Rd | 191 ++- OptimaRegion-1.1/OptimaRegion/man/OptimaRegion-package.Rd | 53 OptimaRegion-1.1/OptimaRegion/man/cubic_5D.Rd |only OptimaRegion-1.1/OptimaRegion/man/quad_3D.Rd |only 31 files changed, 1277 insertions(+), 921 deletions(-)
Title: Methods for Measuring Functional Diversity Based on Trait
Probability Density
Description: Tools to calculate trait probability density functions (TPD) at
any scale (e.g. populations, species, communities). TPD functions are used to compute
several indices of functional diversity, as well as its partition across scales.
These indices constitute a unified framework that incorporates the underlying
probabilistic nature of trait distributions into uni- or multidimensional
functional trait-based studies. See Carmona et al. (2016) <doi:10.1016/j.tree.2016.02.003> for
further information.
Author: Carlos P. Carmona <perezcarmonacarlos@gmail.com>
Maintainer: Carlos P. Carmona <perezcarmonacarlos@gmail.com>
Diff between TPD versions 1.0.0 dated 2018-06-14 and 1.1.0 dated 2019-07-02
TPD-1.0.0/TPD/README.md |only TPD-1.0.0/TPD/vignettes/TPD_files |only TPD-1.1.0/TPD/DESCRIPTION | 12 TPD-1.1.0/TPD/MD5 | 51 - TPD-1.1.0/TPD/NAMESPACE | 32 TPD-1.1.0/TPD/R/plotTPD.R | 374 ++++---- TPD-1.1.0/TPD/R/redundancy.R | 8 TPD-1.1.0/TPD/build/vignette.rds |binary TPD-1.1.0/TPD/inst/doc/TPD.R | 540 ++++++------ TPD-1.1.0/TPD/inst/doc/TPD.Rmd | 1070 ++++++++++++------------ TPD-1.1.0/TPD/inst/doc/TPD.html | 1658 +++++++++++++++++--------------------- TPD-1.1.0/TPD/man/REND.Rd | 140 +-- TPD-1.1.0/TPD/man/Rao.Rd | 90 +- TPD-1.1.0/TPD/man/TPD.Rd | 26 TPD-1.1.0/TPD/man/TPDc.Rd | 74 - TPD-1.1.0/TPD/man/TPDs.Rd | 98 +- TPD-1.1.0/TPD/man/TPDsMean.Rd | 217 ++-- TPD-1.1.0/TPD/man/dissim.Rd | 70 - TPD-1.1.0/TPD/man/plotTPD.Rd | 150 +-- TPD-1.1.0/TPD/man/redundancy.Rd | 72 - TPD-1.1.0/TPD/man/tSamp.Rd | 78 - TPD-1.1.0/TPD/man/uniqueness.Rd | 74 - TPD-1.1.0/TPD/vignettes/TPD.Rmd | 1070 ++++++++++++------------ 23 files changed, 2904 insertions(+), 3000 deletions(-)
Title: JAR Files of the Apache Commons Mathematics Library
Description: Java JAR files for the Apache Commons Mathematics Library for use by users and other packages.
Author: David B. Dahl [cre],
The Apache Software Foundation [aut, cph]
Maintainer: David B. Dahl <dahl@stat.byu.edu>
Diff between commonsMath versions 1.2.2 dated 2019-06-25 and 1.2.3 dated 2019-07-02
DESCRIPTION | 10 ++-- MD5 | 23 +++++----- NEWS | 6 ++ build/partial.rdb |binary inst/java/scala-2.11/commonsMath.jar |binary inst/java/scala-2.12/commonsMath.jar |binary inst/java/scala-2.13/commonsMath.jar |binary inst/java/scala-2.13/scala-parallel-collections_2.13-0.2.0.jar |only java/README | 12 +++-- java/commonsMath-source.jar |binary tests/testthat/setup-instance.R | 13 ++++- tests/testthat/teardown-instance.R | 6 +- tests/testthat/tests-transcompile.R | 4 - 13 files changed, 48 insertions(+), 26 deletions(-)
Title: Bridge Between 'R' and 'Scala' with Callbacks
Description: 'Scala' <http://www.scala-lang.org/> is embedded in 'R' and callbacks from 'Scala' to 'R' are available. Support is provided to write 'R' packages that access 'Scala'. After installation, please run 'rscala::scalaConfig()'.
Author: David B. Dahl [aut, cre]
Maintainer: David B. Dahl <dahl@stat.byu.edu>
Diff between rscala versions 3.2.13 dated 2019-06-20 and 3.2.14 dated 2019-07-02
DESCRIPTION | 8 ++++---- MD5 | 26 +++++++++++++------------- NEWS | 4 ++++ R/scala.R | 16 ++++++++++++++-- R/scalaConfig.R | 20 ++++++++++++-------- R/scalaJARs.R | 2 +- R/scalaSBT.R | 2 -- README.md | 2 +- inst/doc/rscala.pdf |binary inst/java/scala-2.11/rscala.jar |binary inst/java/scala-2.12/rscala.jar |binary inst/java/scala-2.13/rscala.jar |binary java/rscala-source.jar |binary man/scalaConfig.Rd | 6 ++++-- 14 files changed, 53 insertions(+), 33 deletions(-)
Title: Visualization Package for CanvasXpress in R
Description: Enables creation of visualizations using the CanvasXpress framework
in R. CanvasXpress is a standalone JavaScript library for reproducible research
with complete tracking of data and end-user modifications stored in a single
PNG image that can be played back. See <http://canvasxpress.org> for more
information.
Author: Isaac Neuhaus [aut],
Connie Brett [aut, cre]
Maintainer: Connie Brett <connie@aggregate-genius.com>
Diff between canvasXpress versions 1.23.9 dated 2019-04-30 and 1.24.5 dated 2019-07-02
DESCRIPTION | 6 - MD5 | 60 +++++++++------ NEWS.md | 4 + R/canvasXpress.R | 70 +++++++++++++----- R/internal_functionality.R | 61 +++++++++------ README.md | 2 inst/doc/additional_examples.html | 4 - inst/doc/getting_started.Rmd | 2 inst/doc/getting_started.html | 6 - inst/extdata/cX-networkbasic-nodes.txt.gz |binary inst/extdata/cX-wpapoptosis-edges.txt.gz |binary inst/extdata/network_append.tsv |only inst/extdata/network_compact.json |only inst/extdata/network_compact.xml |only inst/extdata/network_spacedelimited.json |only inst/extdata/network_spacedelimited.xml |only inst/extdata/network_tabdelimited.json |only inst/extdata/network_tabdelimited.xml |only inst/htmlwidgets/canvasXpress.yaml | 2 inst/htmlwidgets/lib/canvasXpress/canvasXpress.css | 65 +++++++++++++++- inst/htmlwidgets/lib/canvasXpress/canvasXpress.min.js | 4 - tests/cX-ui-functions.R | 6 - tests/testthat/test-other-data-url.R |only tests/testthat/test-other-network-localfile.R |only tests/testthat/test-other-segregation-tooltips.R |only tests/testthat/test-ui-bar.R | 2 tests/testthat/test-ui-circular.R | 4 + tests/testthat/test-ui-dotplot.R | 2 tests/testthat/test-ui-heatmap.R | 1 tests/testthat/test-ui-kaplanmeier.R | 2 tests/testthat/test-ui-layout.R | 2 tests/testthat/test-ui-network.R | 3 tests/testthat/test-ui-parallelcoordinates.R | 2 tests/testthat/test-ui-sunburst.R | 8 ++ tests/testthat/test-ui-treemap.R | 6 + vignettes/getting_started.Rmd | 2 36 files changed, 233 insertions(+), 93 deletions(-)
Title: Functions to Perform Hierarchical Analysis of Distance Sampling
Data
Description: Functions for performing hierarchical analysis of distance
sampling data, with ability to use an areal spatial ICAR model on
top of user supplied covariates to get at variation in abundance
intensity. The detection model can be specified as a function of
observer and individual covariates, where a parametric model is
supposed for the population level distribution of covariate values.
The model uses data augmentation and a reversible jump MCMC
algorithm to sample animals that were never observed. Also
included is the ability to include point independence (increasing
correlation multiple observer's observations as a function of
distance, with independence assumed for distance=0 or first
distance bin), as well as the ability to model species
misclassification rates using a multinomial logit formulation on data
from double observers. There is also the the ability to
include zero inflation, but this is only recommended for cases where
sample sizes and spatial coverage of the survey are high.
Author: P.B. Conn \email{paul.conn@@noaa.gov}
Maintainer: Paul B Conn <paul.conn@noaa.gov>
Diff between hierarchicalDS versions 2.9 dated 2014-11-26 and 3.0 dated 2019-07-02
hierarchicalDS-2.9/hierarchicalDS/data/simdata.rdata |only hierarchicalDS-3.0/hierarchicalDS/DESCRIPTION | 20 + hierarchicalDS-3.0/hierarchicalDS/MD5 | 75 +++--- hierarchicalDS-3.0/hierarchicalDS/NAMESPACE | 42 +++ hierarchicalDS-3.0/hierarchicalDS/R/hierarchical_DS.R | 35 ++- hierarchicalDS-3.0/hierarchicalDS/R/mcmc_ds.R | 49 +++- hierarchicalDS-3.0/hierarchicalDS/R/simulate_data.R | 6 hierarchicalDS-3.0/hierarchicalDS/R/spat_funcs.R | 108 ++++++---- hierarchicalDS-3.0/hierarchicalDS/data/sim_out.rda |binary hierarchicalDS-3.0/hierarchicalDS/data/simdata.rda |binary hierarchicalDS-3.0/hierarchicalDS/man/calc_linex_a.Rd | 5 hierarchicalDS-3.0/hierarchicalDS/man/convert.HDS.to.mcmc.Rd | 21 + hierarchicalDS-3.0/hierarchicalDS/man/generate_inits.Rd | 7 hierarchicalDS-3.0/hierarchicalDS/man/generate_inits_misID.Rd | 7 hierarchicalDS-3.0/hierarchicalDS/man/get_confusion_array.Rd | 4 hierarchicalDS-3.0/hierarchicalDS/man/get_confusion_mat.Rd | 8 hierarchicalDS-3.0/hierarchicalDS/man/get_mod_matrix.Rd | 6 hierarchicalDS-3.0/hierarchicalDS/man/hierarchical_DS.Rd | 96 ++++---- hierarchicalDS-3.0/hierarchicalDS/man/linear_adj.Rd | 5 hierarchicalDS-3.0/hierarchicalDS/man/log_lambda_gradient.Rd | 6 hierarchicalDS-3.0/hierarchicalDS/man/log_lambda_log_likelihood.Rd | 9 hierarchicalDS-3.0/hierarchicalDS/man/mcmc_ds.Rd | 94 +++----- hierarchicalDS-3.0/hierarchicalDS/man/plot_N_map.Rd | 6 hierarchicalDS-3.0/hierarchicalDS/man/plot_obs_pred.Rd | 6 hierarchicalDS-3.0/hierarchicalDS/man/post_loss.Rd | 7 hierarchicalDS-3.0/hierarchicalDS/man/probit.fct.Rd | 7 hierarchicalDS-3.0/hierarchicalDS/man/rect_adj.Rd | 5 hierarchicalDS-3.0/hierarchicalDS/man/rect_adj_RW2.Rd | 5 hierarchicalDS-3.0/hierarchicalDS/man/rrw.Rd | 6 hierarchicalDS-3.0/hierarchicalDS/man/sim_out.Rd | 5 hierarchicalDS-3.0/hierarchicalDS/man/simulate_data.Rd | 7 hierarchicalDS-3.0/hierarchicalDS/man/square_adj.Rd | 5 hierarchicalDS-3.0/hierarchicalDS/man/stack_data.Rd | 6 hierarchicalDS-3.0/hierarchicalDS/man/stack_data_misID.Rd | 10 hierarchicalDS-3.0/hierarchicalDS/man/summary_N.Rd | 5 hierarchicalDS-3.0/hierarchicalDS/man/switch_pdf.Rd | 6 hierarchicalDS-3.0/hierarchicalDS/man/switch_sample.Rd | 6 hierarchicalDS-3.0/hierarchicalDS/man/switch_sample_prior.Rd | 6 hierarchicalDS-3.0/hierarchicalDS/man/table.mcmc.Rd | 6 39 files changed, 380 insertions(+), 327 deletions(-)
More information about hierarchicalDS at CRAN
Permanent link
Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects and unknown variance-covariance structures (i.e. heterogeneous and unstructured variance models) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>). ML/REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms. Designed for genomic prediction and genome wide association studies (GWAS), particularly focused in the p > n problem (more coefficients than observations) and dense known covariance structures for levels of random effects. Spatial models can also be fitted using i.e. the two-dimensional spline functionality available in sommer.
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>
Diff between sommer versions 3.9.3 dated 2019-04-03 and 4.0.1 dated 2019-07-02
CHANGELOG | 6 DESCRIPTION | 10 - MD5 | 45 ++--- NAMESPACE | 4 R/FUN_plotting.R | 6 R/FUN_relationships.R | 35 ++++ R/FUN_utils.R | 138 +++++++++++++++++ R/GWAS.R | 4 R/mmer.R | 2 inst/doc/sommer.FAQ.R | 160 +++++++++++++++++++- inst/doc/sommer.FAQ.Rmd | 213 +++++++++++++++++++++++++-- inst/doc/sommer.FAQ.pdf |binary inst/doc/sommer.changes.pdf |binary inst/doc/sommer.pdf |binary inst/doc/sommer.start.pdf |binary man/A.mat.Rd | 2 man/DT_halfdiallel.Rd | 2 man/simGECorMat.Rd |only src/MNR.cpp | 4 vignettes/sommer.FAQ.Rmd | 213 +++++++++++++++++++++++++-- vignettes/sommer.FAQ.html | 329 +++++++++++++++++++++++++++++++++--------- vignettes/sommer.changes.html | 4 vignettes/sommer.html | 164 ++++++++++---------- vignettes/sommer.start.html | 196 ++++++++++++------------- 24 files changed, 1222 insertions(+), 315 deletions(-)
Title: Simulations and Statistical Inference for Linear Fractional
Stable Motions
Description: Contains functions for simulating linear fractional stable motions, according to techniques developed by Stoev and Taqqu (2004) <doi:10.1142/S0218348X04002379>, as well as functions for computing important statistics used with these processes introduced by Mazur, Otryakhin and Podolskij (2018) <arXiv:1802.06373>, and also different quantities related to those statistics.
Author: Dmitry Otryakhin [aut, cre],
Stepan Mazur [aut],
Mathias Ljungdahl [ctb]
Maintainer: Dmitry Otryakhin <d.otryakhin.acad@protonmail.ch>
Diff between rlfsm versions 0.2.0 dated 2018-06-18 and 0.3.0 dated 2019-07-02
DESCRIPTION | 16 ++-- MD5 | 31 ++++--- NAMESPACE | 4 + NEWS.md | 13 ++- R/CLT.R | 153 ++++++++++++++++++++++++++++++++------- R/MinContrastEstim.R |only R/PLotting_sample_paths_stable.R |only R/functions_for_estimates.r | 84 +++++++++++++-------- R/limit_theorems.R | 29 +++---- R/sample_path_generator.r | 4 - build/partial.rdb |binary inst/REFERENCES.bib | 28 ++++--- man/CLT.Rd | 39 +++++++++ man/GenLowEstim.Rd | 4 - man/MinContrastEstim.Rd |only man/Path_array.Rd |only man/Plot_list_paths.Rd |only man/increment.Rd | 19 ++++ man/path.Rd | 4 - 19 files changed, 307 insertions(+), 121 deletions(-)
Title: Shiny/R Wrapper for 'clipboard.js'
Description: Leverages the functionality of 'clipboard.js', a JavaScript library
for HMTL5-based copy to clipboard from web pages (see <https://clipboardjs.com>
for more information), and provides a reactive copy-to-clipboard UI button
component, called 'rclipButton', for 'shiny' R applications.
Author: Sebastien Bihorel
Maintainer: Sebastien Bihorel <sb.pmlab@gmail.com>
Diff between rclipboard versions 0.1.1 dated 2019-03-15 and 0.1.2 dated 2019-07-02
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- R/rclipButton.R | 24 ++++++++++++++++-------- R/rclipboardSetup.R | 1 + README.md | 13 +++++++------ man/rclipButton.Rd | 4 +++- 6 files changed, 35 insertions(+), 23 deletions(-)
Title: Visualization Methods for Raster Data
Description: Methods for enhanced visualization and interaction with raster data. It implements visualization methods for quantitative data and categorical data, both for univariate and multivariate rasters. It also provides methods to display spatiotemporal rasters, and vector fields. See the website for examples.
Author: Oscar Perpinan Lamigueiro [cre, aut]
(<https://orcid.org/0000-0002-4134-7196>),
Robert Hijmans [aut]
Maintainer: Oscar Perpinan Lamigueiro <oscar.perpinan@gmail.com>
Diff between rasterVis versions 0.45 dated 2018-06-02 and 0.46 dated 2019-07-02
DESCRIPTION | 6 - MD5 | 16 ++--- NAMESPACE | 1 R/bwplot.R | 144 +++++++++++++++++++++++++---------------------- R/themes.R | 16 +++++ build/partial.rdb |binary man/bwplot-methods.Rd | 72 ++++++++++++++++++----- man/rasterTheme.Rd | 22 ++++++- man/rasterVis-package.Rd | 24 +++---- 9 files changed, 195 insertions(+), 106 deletions(-)
Title: Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD
Description: Contains Probability Mass Functions, Cumulative Mass Functions, Negative Log Likelihood value, parameter estimation and modeling data using Binomial Mixture Distributions (BMD) (Manoj et al (2013) <doi:10.5539/ijsp.v2n2p24>) and Alternate Binomial Distributions (ABD) (Paul (1985) <doi:10.1080/03610928508828990>), also Journal article to use the package(<doi:10.21105/joss.01505>).
Author: Amalan Mahendran [aut, cre] (<https://orcid.org/0000-0002-0643-9052>),
Pushpakanthie Wijekoon [aut, ctb]
(<https://orcid.org/0000-0003-4242-1017>)
Maintainer: Amalan Mahendran <amalan0595@gmail.com>
Diff between fitODBOD versions 1.4.0 dated 2019-06-12 and 1.4.1 dated 2019-07-02
DESCRIPTION | 13 - MD5 | 297 +++++++++++++++++--------------- NAMESPACE | 2 R/AddBin.R | 73 ++++--- R/Beta.R | 127 +++++++------ R/BetaCorrBin.R | 83 +++++--- R/COMPBin.R | 88 +++++---- R/CorrBin.R | 89 +++++---- R/Data.R | 20 -- R/GHGbeta.R | 110 ++++++----- R/Gamma.R | 172 +++++++++++------- R/Gbeta1.R | 99 ++++++---- R/Kumaraswamy.R | 114 +++++++----- R/LMultiBin.R | 81 +++++--- R/MultiBin.R | 81 +++++--- R/Overdispersion.R | 14 + R/Triangle.R | 81 +++++--- R/Uniform.R | 1 man/BODextract.Rd | 4 man/EstMGFBetaBin.Rd | 11 - man/EstMLEAddBin.Rd | 9 man/EstMLEBetaBin.Rd | 15 - man/EstMLEBetaCorrBin.Rd | 13 - man/EstMLECOMPBin.Rd | 13 - man/EstMLECorrBin.Rd | 13 - man/EstMLEGHGBB.Rd | 15 - man/EstMLEGammaBin.Rd | 15 - man/EstMLEGrassiaIIBin.Rd | 16 - man/EstMLEKumBin.Rd | 16 - man/EstMLELMBin.Rd | 15 - man/EstMLEMcGBB.Rd | 19 +- man/EstMLEMultiBin.Rd | 15 - man/EstMLETriBin.Rd | 7 man/NegLLAddBin.Rd | 4 man/NegLLBetaBin.Rd | 4 man/NegLLBetaCorrBin.Rd | 4 man/NegLLCOMPBin.Rd | 4 man/NegLLCorrBin.Rd | 4 man/NegLLGHGBB.Rd | 4 man/NegLLGammaBin.Rd | 4 man/NegLLGrassiaIIBin.Rd | 4 man/NegLLKumBin.Rd | 4 man/NegLLLMBin.Rd | 4 man/NegLLMcGBB.Rd | 4 man/NegLLMultiBin.Rd | 4 man/NegLLTriBin.Rd | 4 man/dAddBin.Rd | 12 - man/dBETA.Rd | 8 man/dBetaBin.Rd | 8 man/dBetaCorrBin.Rd | 12 - man/dCOMPBin.Rd | 12 - man/dCorrBin.Rd | 12 - man/dGAMMA.Rd | 8 man/dGBeta1.Rd | 4 man/dGHGBB.Rd | 8 man/dGHGBeta.Rd | 8 man/dGammaBin.Rd | 8 man/dGrassiaIIBin.Rd | 8 man/dKUM.Rd | 8 man/dKumBin.Rd | 10 - man/dLMBin.Rd | 12 - man/dMcGBB.Rd | 8 man/dMultiBin.Rd | 12 - man/dTRI.Rd | 8 man/dTriBin.Rd | 8 man/figures/table1.JPG |only man/figures/table2.JPG |only man/fitAddBin.Rd | 15 - man/fitBetaBin.Rd | 19 -- man/fitBetaCorrBin.Rd | 15 - man/fitBin.Rd | 6 man/fitCOMPBin.Rd | 13 - man/fitCorrBin.Rd | 13 - man/fitGHGBB.Rd | 15 - man/fitGammaBin.Rd | 13 - man/fitGrassiaIIBin.Rd | 13 - man/fitKumBin.Rd | 19 -- man/fitLMBin.Rd | 11 - man/fitMcGBB.Rd | 17 - man/fitMultiBin.Rd | 13 - man/fitTriBin.Rd | 8 man/mazBETA.Rd | 8 man/mazGAMMA.Rd | 8 man/mazGBeta1.Rd | 4 man/mazGHGBeta.Rd | 8 man/mazKUM.Rd | 8 man/mazTRI.Rd | 8 man/pAddBin.Rd | 12 - man/pBETA.Rd | 8 man/pBetaBin.Rd | 8 man/pBetaCorrBin.Rd | 12 - man/pCOMPBin.Rd | 12 - man/pCorrBin.Rd | 12 - man/pGAMMA.Rd | 8 man/pGBeta1.Rd | 4 man/pGHGBB.Rd | 8 man/pGHGBeta.Rd | 8 man/pGammaBin.Rd | 9 man/pGrassiaIIBin.Rd | 8 man/pKUM.Rd | 8 man/pKumBin.Rd | 10 - man/pLMBin.Rd | 12 - man/pMcGBB.Rd | 8 man/pMultiBin.Rd | 12 - man/pTRI.Rd | 8 man/pTriBin.Rd | 8 tests/testthat/test-AIC.R |only tests/testthat/test-Epidemic_Cold.R |only tests/testthat/test-EstMGFBetaBin.R | 22 ++ tests/testthat/test-EstMLEAddBin.R | 21 ++ tests/testthat/test-EstMLEBetaBin.R |only tests/testthat/test-EstMLEBetaCorrBin.R |only tests/testthat/test-EstMLECOMPBin.R |only tests/testthat/test-EstMLECorrBin.R |only tests/testthat/test-EstMLEGHGBB.R |only tests/testthat/test-EstMLEGammaBin.R |only tests/testthat/test-EstMLEGrasiaIIBin.R |only tests/testthat/test-EstMLELMBin.R |only tests/testthat/test-EstMLEMcGBB.R |only tests/testthat/test-EstMLEMultiBin.R |only tests/testthat/test-EstMLETriBin.R | 21 ++ tests/testthat/test-NegLLAddBin.R | 11 + tests/testthat/test-NegLLBetaBin.R | 11 + tests/testthat/test-NegLLBetaCorrBin.R | 65 ++++--- tests/testthat/test-NegLLCOMPBin.R | 11 + tests/testthat/test-NegLLCorrBin.R | 35 ++- tests/testthat/test-NegLLGHGBB.R | 11 + tests/testthat/test-NegLLGammaBin.R | 11 + tests/testthat/test-NegLLGrassiaIIBin.R | 11 + tests/testthat/test-NegLLKumBin.R | 11 + tests/testthat/test-NegLLLMBin.R | 35 +++ tests/testthat/test-NegLLMcGBB.R | 11 + tests/testthat/test-NegLLMultiBin.R | 11 + tests/testthat/test-NegLLTriBin.R | 11 + tests/testthat/test-Overdispersion.R |only tests/testthat/test-fitAddBin.R | 10 - tests/testthat/test-fitBetaBin.R | 10 - tests/testthat/test-fitBetaCorrBin.R | 10 - tests/testthat/test-fitBin.R | 10 - tests/testthat/test-fitCOMPBin.R | 10 - tests/testthat/test-fitCorrBin.R | 10 - tests/testthat/test-fitGHGBB.R | 12 - tests/testthat/test-fitGammaBin.R | 10 - tests/testthat/test-fitGrassiaIIBin.R | 8 tests/testthat/test-fitKumBin.R | 10 - tests/testthat/test-fitLMBin.R | 16 - tests/testthat/test-fitMcGBB.R | 10 - tests/testthat/test-fitMultiBin.R | 10 - tests/testthat/test-fitTriBin.R | 10 - tests/testthat/test-fitted.R |only tests/testthat/test-pAddBin.R |only tests/testthat/test-pBetaBin.R |only tests/testthat/test-pBetaCorrBin.R |only tests/testthat/test-pCOMPBin.R |only tests/testthat/test-pCorrBin.R |only tests/testthat/test-pGHGBB.R |only tests/testthat/test-pGammaBin.R |only tests/testthat/test-pGrassiaIIBin.R |only tests/testthat/test-pKumBin.R |only tests/testthat/test-pLMBin.R |only tests/testthat/test-pMcGBB.R |only tests/testthat/test-pMultiBin.R |only tests/testthat/test-pTriBin.R |only tests/testthat/test-pUniBin.R |only tests/testthat/test-residuals.R |only 165 files changed, 1658 insertions(+), 1173 deletions(-)
Title: Adaptive Optimal Two-Stage Designs in R
Description: Optimize one or two-arm, two-stage designs for clinical trials with
respect to several pre-implemented objective criteria or implement custom
objectives.
Optimization under uncertainty and conditional (given stage-one outcome)
constraints are supported.
See Pilz M, Kunzmann K, Herrmann C, Rauch G, Kieser M. A variational
approach to optimal two-stage designs. Statistics in Medicine. 2019;1–13.
<doi:10.1002/sim.8291> for details.
Author: Kevin Kunzmann [aut, cre],
Maximilian Pilz [aut]
Maintainer: Kevin Kunzmann <kevin.kunzmann@mrc-bsu.cam.ac.uk>
Diff between adoptr versions 0.2.0 dated 2019-06-04 and 0.2.2 dated 2019-07-02
DESCRIPTION | 17 +++++++++++------ MD5 | 23 ++++++++++++----------- NEWS.md | 12 ++++++++++++ R/adoptr.R | 2 ++ README.md | 9 +++++++-- build/vignette.rds |binary inst/doc/adoptr.Rmd | 6 ++++-- inst/doc/adoptr.html | 8 ++++---- man/adoptr.Rd | 2 ++ man/figures/logo.pdf |only man/figures/logo.png |binary tests/testthat/Rplots.pdf |binary vignettes/adoptr.Rmd | 6 ++++-- 13 files changed, 58 insertions(+), 27 deletions(-)
Title: Port of the S+ "Robust Library"
Description: Methods for robust statistics, a state of the art in the early
2000s, notably for robust regression and robust multivariate analysis.
Author: Jiahui Wang,
Ruben Zamar <ruben@stat.ubc.ca>,
Alfio Marazzi <Alfio.Marazzi@inst.hospvd.ch>,
Victor Yohai <vyohai@dm.uba.ar>,
Matias Salibian-Barrera <matias@stat.ubc.ca>,
Ricardo Maronna <maron@mate.unlp.edu.ar>,
Eric Zivot <ezivot@u.washington.edu>,
David Rocke <dmrocke@ucdavis.edu>,
Doug Martin,
Martin Maechler <maechler@stat.math.ethz.ch>,
Kjell Konis <kjell.konis@me.com>.
Maintainer: Kjell Konis <kjell.konis@me.com>
Diff between robust versions 0.4-18 dated 2017-04-27 and 0.4-18.1 dated 2019-07-02
DESCRIPTION | 6 +++--- MD5 | 6 +++--- src/compatibility.c | 5 +++++ src/rb.c | 6 ++---- 4 files changed, 13 insertions(+), 10 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-06-14 0.6.6
2014-01-31 0.6.3
2014-01-07 0.6.2
2012-10-05 0.6.1
2011-02-24 0.5.1
Title: Regularized Random Forest
Description: Feature Selection with Regularized Random Forest. This
package is based on the 'randomForest' package by Andy Liaw.
The key difference is the RRF() function that builds a
regularized random forest.
Author: Fortran original by Leo Breiman and Adele Cutler, R port by
Andy Liaw and Matthew Wiener, Regularized random forest for classification by
Houtao Deng. Regularized random forest for regression by Xin Guan.
Maintainer: Houtao Deng <softwaredeng@gmail.com>
Diff between RRF versions 1.9 dated 2018-07-17 and 1.9.1 dated 2019-07-02
DESCRIPTION | 10 ++++-- MD5 | 8 ++--- src/classTree.c | 4 +- src/rfsub.f | 88 ++++++++++++++++++++++++++++---------------------------- src/rfutils.c | 2 - 5 files changed, 58 insertions(+), 54 deletions(-)
Title: General Bivariate Copula Theory and Many Utility Functions
Description: Extensive functions for bivariate copula (bicopula) computations and related operations
for bicopula theory. The lower, upper, product, and select other bicopula are implemented along
with operations including the diagonal, survival copula, dual of a copula, co-copula, and
numerical bicopula density. Level sets, horizontal and vertical sections are supported. Numerical
derivatives and inverses of a bicopula are provided through which simulation is implemented.
Bicopula composition, convex combination, and products also are provided. Support
extends to the Kendall Function as well as the Lmoments thereof. Kendall Tau,
Spearman Rho and Footrule, Gini Gamma, Blomqvist Beta, Hoeffding Phi, Schweizer-
Wolff Sigma, tail dependency, tail order, skewness, and bivariate Lmoments are implemented, and
positive/negative quadrant dependency, left (right) increasing (decreasing) are available.
Other features include Kullback-Leibler divergence, Vuong procedure, spectral measure, and
Lcomoments for inference, maximum likelihood, and AIC, BIC, and RMSE for goodness-of-fit.
Author: William Asquith
Maintainer: William Asquith <william.asquith@ttu.edu>
Diff between copBasic versions 2.1.2 dated 2019-01-08 and 2.1.4 dated 2019-07-02
ChangeLog | 59 +++++++++++++++++- DESCRIPTION | 8 +- MD5 | 154 ++++++++++++++++++++++++------------------------ NAMESPACE | 2 R/EMPIRcop.R | 3 R/EMPIRgridder.R | 4 + R/EMPIRgridder2.R | 4 + R/EMPIRgridderinv.R | 23 ++++--- R/EMPIRgridderinv2.R | 22 ++++-- R/EMPIRqua.regress.R | 11 ++- R/EMPIRqua.regress2.R | 11 ++- R/FGMcop.R | 41 +++++++++++- R/glueCOP.R |only man/AMHcop.Rd | 7 +- man/CLcop.Rd | 10 +-- man/COP.Rd | 30 ++++----- man/EMPIRcop.Rd | 17 ++--- man/EMPIRcopdf.Rd | 2 man/FGMcop.Rd | 28 ++++++-- man/FRECHETcop.Rd | 2 man/GHcop.Rd | 10 +-- man/GLcop.Rd | 2 man/HRcop.Rd | 4 - man/JOcopB5.Rd | 12 +-- man/N4212cop.Rd | 2 man/PARETOcop.Rd | 2 man/PLACKETTcop.Rd | 4 - man/PLACKETTpar.Rd | 12 +-- man/aicCOP.Rd | 2 man/asCOP.Rd | 4 - man/bicCOP.Rd | 2 man/bilmoms.Rd | 12 +-- man/blomCOP.Rd | 6 - man/coCOP.Rd | 2 man/composite1COP.Rd | 2 man/composite2COP.Rd | 4 - man/composite3COP.Rd | 2 man/convex2COP.Rd | 2 man/copBasic-package.Rd | 25 ++++--- man/copBasic.fitpara.Rd | 22 +++--- man/densityCOP.Rd | 2 man/densityCOPplot.Rd | 2 man/derCOP.Rd | 2 man/derCOP2.Rd | 2 man/derCOPinv.Rd | 4 - man/diagCOPatf.Rd | 14 ++-- man/footCOP.Rd | 6 - man/gEVcop.Rd | 2 man/giniCOP.Rd | 6 - man/glueCOP.Rd |only man/hoefCOP.Rd | 18 ++--- man/isCOP.LTD.Rd | 4 - man/isCOP.PQD.Rd | 4 - man/isCOP.radsym.Rd | 4 - man/isfuncCOP.Rd | 2 man/joeskewCOP.Rd | 10 +-- man/joint.curvesCOP.Rd | 6 - man/jointCOP.Rd | 6 - man/kfuncCOP.Rd | 12 +-- man/kfuncCOPlmoms.Rd | 2 man/kullCOP.Rd | 10 +-- man/lcomCOP.Rd | 16 +++- man/med.regressCOP.Rd | 16 ++-- man/mleCOP.Rd | 4 - man/psepolar.Rd | 6 - man/rhoCOP.Rd | 8 +- man/rhobevCOP.Rd | 2 man/rmseCOP.Rd | 2 man/semicorCOP.Rd | 2 man/simCOPmicro.Rd | 6 - man/spectralmeas.Rd | 2 man/stabtaildepf.Rd | 12 +-- man/statTn.Rd | 8 +- man/tEVcop.Rd | 2 man/tailconCOP.Rd | 2 man/taildepCOP.Rd | 8 +- man/tauCOP.Rd | 14 ++-- man/vuongCOP.Rd | 24 +++---- man/wolfCOP.Rd | 6 - 79 files changed, 489 insertions(+), 340 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-06-21 0.9.0-8
2019-05-30 0.9.0-6
2018-12-10 0.8.0-9
2018-09-25 0.8.0-8
2018-09-23 0.8.0-7
2018-06-19 0.7.2-5
2018-06-16 0.7.2-4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-01-20 0.4
2014-12-31 0.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-05-31 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-02-05 1.1.1
2016-11-30 1.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-11-01 0.1-4
2009-10-06 0.1-3
2007-09-06 0.1-2
2007-08-27 0.1-1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-01-17 0.2.0
2018-10-11 0.1.1
2018-04-13 0.1.0
Title: Detecting Politeness Features in Text
Description: Detecting markers of politeness in English natural language. This package allows researchers to easily visualize and quantify politeness between groups of documents. This package combines prior research on the linguistic markers of politeness (Brown & Levinson, 1987 <http://psycnet.apa.org/record/1987-97641-000>; Danescu-Niculescu-Mizil et al., 2013 <arXiv:1306.6078>; Voigt et al., 2017 <doi:10.1073/pnas.1702413114>). We thank the Spencer Foundation, the Hewlett Foundation, and Harvard's Institute for Quantitative Social Science for support.
Author: Mike Yeomans, Alejandro Kantor, Dustin Tingley
Maintainer: Mike Yeomans <myeomans@hbs.edu>
Diff between politeness versions 0.3.1 dated 2019-05-16 and 0.3.2 dated 2019-07-02
DESCRIPTION | 6 +++--- MD5 | 6 +++--- R/politeness.R | 41 +++++++++++++++++++++++------------------ inst/doc/politeness.html | 12 ++++++------ 4 files changed, 35 insertions(+), 30 deletions(-)
Title: Matching Multiply Imputed Datasets
Description: Simplifies the process of matching control and treatment groups of multiply imputed datasets; selects matched samples from the control and treatment groups, enables complete data analysis, and pools the obtained results on each imputed dataset according to Rubin’s rules. Please see the package repository <https://github.com/FarhadPishgar/MatchIt.mice> for details.
Author: Farhad Pishgar
Maintainer: Farhad Pishgar <Farhad.Pishgar@Gmail.com>
Diff between MatchIt.mice versions 2.0.1 dated 2019-06-28 and 2.0.2 dated 2019-07-02
DESCRIPTION | 6 ++-- MD5 | 68 ++++++++++++++++++++++++----------------------- NAMESPACE | 1 NEWS.md | 10 ++++-- R/binditmice.R |only R/handoa.R | 18 ++++++------ R/is.R | 10 +----- R/matchitmice.R | 1 R/matchitmice.data.R | 6 ---- R/plot.mimids.R | 3 -- R/plot.wimids.R | 3 -- R/pool.R | 3 -- R/print.mimids.R | 3 -- R/print.wimids.R | 3 -- R/summary.mimids.R | 3 -- R/weightitmice.R | 3 -- R/weightitmice.data.R | 6 ---- R/with.mimids.R | 5 --- R/with.wimids.R | 5 --- README.md | 21 ++++++++++---- man/binditmice.Rd |only man/handoa.Rd | 18 ++++++------ man/is.mimids.Rd | 5 --- man/is.wimids.Rd | 5 --- man/matchitmice.Rd | 1 man/matchitmice.data.Rd | 3 -- man/plot.mimids.Rd | 3 -- man/plot.wimids.Rd | 3 -- man/pool.Rd | 3 -- man/print.mimids.Rd | 3 -- man/print.wimids.Rd | 3 -- man/summary.mimids.Rd | 3 -- man/weightitmice.Rd | 3 -- man/weightitmice.data.Rd | 3 -- man/with.mimids.Rd | 3 -- man/with.wimids.Rd | 3 -- 36 files changed, 85 insertions(+), 155 deletions(-)
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Title: Multi-States Semi-Markov Models
Description: Functions for fitting multi-state semi-Markov models to longitudinal data. A parametric maximum likelihood estimation method adapted to deal with Exponential, Weibull and Exponentiated Weibull distributions is considered. Right-censoring can be taken into account and both constant and time-varying covariates can be included using a Cox proportional model. Reference: A. Krol and P. Saint-Pierre (2015) <doi:10.18637/jss.v066.i06>.
Author: Agnieszka Listwon-Krol, Philippe Saint-Pierre
Maintainer: Agnieszka Listwon-Krol <krol@lunenfeld.ca>
Diff between SemiMarkov versions 1.4.5 dated 2018-11-22 and 1.4.6 dated 2019-07-02
DESCRIPTION | 8 MD5 | 5 NEWS |only R/SemiMarkov.r | 1240 ++++++++++++++++++++++++++++----------------------------- 4 files changed, 627 insertions(+), 626 deletions(-)
Title: Fast and Simple Object Serialization to Protocol Buffers
Description: Optimized C++ implementations for reading and writing protocol-buffers.
Currently supports 'rexp.proto' for serializing R objects and 'geobuf.proto' for
geojson data. This lightweight package is complementary to the much larger
'RProtoBuf' package which provides a full featured toolkit for working with
protocol-buffers in R.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between protolite versions 1.8 dated 2018-06-26 and 1.9 dated 2019-07-02
protolite-1.8/protolite/README.md |only protolite-1.9/protolite/DESCRIPTION | 8 ++++---- protolite-1.9/protolite/MD5 | 11 +++++------ protolite-1.9/protolite/NEWS | 4 ++++ protolite-1.9/protolite/configure | 11 ++++++++--- protolite-1.9/protolite/src/Makevars.win | 14 ++++---------- protolite-1.9/protolite/src/ungeobuf.cpp | 4 ++-- 7 files changed, 27 insertions(+), 25 deletions(-)
Title: Embedded JavaScript Engine for R
Description: An R interface to Google's open source JavaScript engine. This
package can now be compiled either with V8 version 6 or 7 (LTS) from
nodejs or with the legacy 3.14/3.15 branch of V8.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between V8 versions 2.2 dated 2019-04-13 and 2.3 dated 2019-07-02
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ NEWS | 3 +++ build/vignette.rds |binary inst/doc/npm.html | 4 ++-- inst/doc/v8_intro.html | 8 ++++---- src/bindings.cpp | 4 ++-- 7 files changed, 20 insertions(+), 17 deletions(-)
Title: Landscape Metrics for Categorical Map Patterns
Description: Calculates landscape metrics for categorical landscape patterns in
a tidy workflow. 'landscapemetrics' reimplements the most common metrics from
'FRAGSTATS' (<https://www.umass.edu/landeco/research/fragstats/fragstats.html>)
and new ones from the current literature on landscape metrics.
This package supports 'raster' spatial objects and takes
RasterLayer, RasterStacks, RasterBricks or lists of RasterLayer from the
'raster' package as input arguments. It further provides utility functions
to visualize patches, select metrics and building blocks to develop new
metrics.
Author: Maximillian H.K. Hesselbarth [aut, cre]
(<https://orcid.org/0000-0003-1125-9918>),
Marco Sciaini [aut] (<https://orcid.org/0000-0002-3042-5435>),
Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>),
Sebastian Hanss [aut] (<https://orcid.org/0000-0002-3990-4897>),
Laura J. Graham [ctb] (Input on package structure),
Jeffrey Hollister [ctb] (Input on package structure),
Kimberly A. With [ctb] (Input on package structure),
Florian Privé [ctb] (Original author of underlying C++ code for
get_nearestneighbour() function),
Jeremy VanDerWal [ctb] (Original author of underlying C code for
get_patches() function),
Matt Strimas-Mackey [ctb] (Bugfix in sample_metrics())
Maintainer: Maximillian H.K. Hesselbarth <maximilian.hesselbarth@uni-goettingen.de>
Diff between landscapemetrics versions 1.1 dated 2019-04-25 and 1.2 dated 2019-07-02
landscapemetrics-1.1/landscapemetrics/man/figures/README-unnamed-chunk-15-1.png |only landscapemetrics-1.1/landscapemetrics/man/figures/README-unnamed-chunk-16-1.png |only landscapemetrics-1.1/landscapemetrics/man/figures/README-unnamed-chunk-2-1.png |only landscapemetrics-1.1/landscapemetrics/man/figures/README-unnamed-chunk-3-1.png |only landscapemetrics-1.1/landscapemetrics/man/figures/README-unnamed-chunk-4-1.png |only landscapemetrics-1.1/landscapemetrics/man/figures/README-unnamed-chunk-5-1.png |only landscapemetrics-1.2/landscapemetrics/DESCRIPTION | 8 landscapemetrics-1.2/landscapemetrics/MD5 | 460 +- landscapemetrics-1.2/landscapemetrics/NAMESPACE | 1861 +++++----- landscapemetrics-1.2/landscapemetrics/NEWS.md | 210 - landscapemetrics-1.2/landscapemetrics/R/RcppExports.R | 202 - landscapemetrics-1.2/landscapemetrics/R/calculate_correlation.R |only landscapemetrics-1.2/landscapemetrics/R/calculate_lsm.R | 934 ++--- landscapemetrics-1.2/landscapemetrics/R/construct_buffer.R | 346 - landscapemetrics-1.2/landscapemetrics/R/extract_lsm.R | 822 ++-- landscapemetrics-1.2/landscapemetrics/R/get_patches.R | 668 +-- landscapemetrics-1.2/landscapemetrics/R/list_lsm.R | 410 +- landscapemetrics-1.2/landscapemetrics/R/lsm_l_condent.R | 354 - landscapemetrics-1.2/landscapemetrics/R/lsm_l_ent.R | 309 - landscapemetrics-1.2/landscapemetrics/R/lsm_l_joinent.R | 336 - landscapemetrics-1.2/landscapemetrics/R/lsm_l_mutinf.R | 352 - landscapemetrics-1.2/landscapemetrics/R/matrix_to_raster.R | 164 landscapemetrics-1.2/landscapemetrics/R/pad_raster.R | 545 +- landscapemetrics-1.2/landscapemetrics/R/sample_lsm.R | 891 ++-- landscapemetrics-1.2/landscapemetrics/R/scale_sample.R |only landscapemetrics-1.2/landscapemetrics/R/scale_window.R |only landscapemetrics-1.2/landscapemetrics/R/show_correlation.R | 545 +- landscapemetrics-1.2/landscapemetrics/R/spatialize_lsm.R | 592 +-- landscapemetrics-1.2/landscapemetrics/R/window_lsm.R | 982 ++--- landscapemetrics-1.2/landscapemetrics/build/vignette.rds |binary landscapemetrics-1.2/landscapemetrics/inst/CITATION |only landscapemetrics-1.2/landscapemetrics/inst/doc/getstarted.R | 190 - landscapemetrics-1.2/landscapemetrics/inst/doc/getstarted.html | 1188 +++--- landscapemetrics-1.2/landscapemetrics/man/augusta_nlcd.Rd | 42 landscapemetrics-1.2/landscapemetrics/man/calculate_correlation.Rd |only landscapemetrics-1.2/landscapemetrics/man/calculate_lsm.Rd | 248 - landscapemetrics-1.2/landscapemetrics/man/check_landscape.Rd | 96 landscapemetrics-1.2/landscapemetrics/man/construct_buffer.Rd | 120 landscapemetrics-1.2/landscapemetrics/man/data_info.Rd | 54 landscapemetrics-1.2/landscapemetrics/man/extract_lsm.Rd | 189 - landscapemetrics-1.2/landscapemetrics/man/figures/README-unnamed-chunk-1-1.png |binary landscapemetrics-1.2/landscapemetrics/man/fragstats_class_augusta_nlcd.Rd | 32 landscapemetrics-1.2/landscapemetrics/man/fragstats_class_landscape.Rd | 32 landscapemetrics-1.2/landscapemetrics/man/fragstats_class_podlasie.Rd | 32 landscapemetrics-1.2/landscapemetrics/man/fragstats_landscape_augusta_nlcd.Rd | 32 landscapemetrics-1.2/landscapemetrics/man/fragstats_landscape_landscape.Rd | 32 landscapemetrics-1.2/landscapemetrics/man/fragstats_landscape_podlasie.Rd | 32 landscapemetrics-1.2/landscapemetrics/man/fragstats_patch_augusta_nlcd.Rd | 32 landscapemetrics-1.2/landscapemetrics/man/fragstats_patch_landscape.Rd | 32 landscapemetrics-1.2/landscapemetrics/man/fragstats_patch_podlasie.Rd | 32 landscapemetrics-1.2/landscapemetrics/man/get_adjacencies.Rd | 156 landscapemetrics-1.2/landscapemetrics/man/get_boundaries.Rd | 126 landscapemetrics-1.2/landscapemetrics/man/get_circumscribingcircle.Rd | 122 landscapemetrics-1.2/landscapemetrics/man/get_nearestneighbour.Rd | 104 landscapemetrics-1.2/landscapemetrics/man/get_patches.Rd | 194 - landscapemetrics-1.2/landscapemetrics/man/get_unique_values.Rd | 126 landscapemetrics-1.2/landscapemetrics/man/landscape.Rd | 36 landscapemetrics-1.2/landscapemetrics/man/landscapemetrics.Rd | 92 landscapemetrics-1.2/landscapemetrics/man/list_lsm.Rd | 112 landscapemetrics-1.2/landscapemetrics/man/lsm_abbreviations_names.Rd | 50 landscapemetrics-1.2/landscapemetrics/man/lsm_c_ai.Rd | 126 landscapemetrics-1.2/landscapemetrics/man/lsm_c_area_cv.Rd | 134 landscapemetrics-1.2/landscapemetrics/man/lsm_c_area_mn.Rd | 136 landscapemetrics-1.2/landscapemetrics/man/lsm_c_area_sd.Rd | 142 landscapemetrics-1.2/landscapemetrics/man/lsm_c_ca.Rd | 134 landscapemetrics-1.2/landscapemetrics/man/lsm_c_cai_cv.Rd | 166 landscapemetrics-1.2/landscapemetrics/man/lsm_c_cai_mn.Rd | 160 landscapemetrics-1.2/landscapemetrics/man/lsm_c_cai_sd.Rd | 164 landscapemetrics-1.2/landscapemetrics/man/lsm_c_circle_cv.Rd | 150 landscapemetrics-1.2/landscapemetrics/man/lsm_c_circle_mn.Rd | 146 landscapemetrics-1.2/landscapemetrics/man/lsm_c_circle_sd.Rd | 146 landscapemetrics-1.2/landscapemetrics/man/lsm_c_clumpy.Rd | 122 landscapemetrics-1.2/landscapemetrics/man/lsm_c_cohesion.Rd | 136 landscapemetrics-1.2/landscapemetrics/man/lsm_c_contig_cv.Rd | 156 landscapemetrics-1.2/landscapemetrics/man/lsm_c_contig_mn.Rd | 154 landscapemetrics-1.2/landscapemetrics/man/lsm_c_contig_sd.Rd | 156 landscapemetrics-1.2/landscapemetrics/man/lsm_c_core_cv.Rd | 158 landscapemetrics-1.2/landscapemetrics/man/lsm_c_core_mn.Rd | 154 landscapemetrics-1.2/landscapemetrics/man/lsm_c_core_sd.Rd | 156 landscapemetrics-1.2/landscapemetrics/man/lsm_c_cpland.Rd | 150 landscapemetrics-1.2/landscapemetrics/man/lsm_c_dcad.Rd | 156 landscapemetrics-1.2/landscapemetrics/man/lsm_c_dcore_cv.Rd | 164 landscapemetrics-1.2/landscapemetrics/man/lsm_c_dcore_mn.Rd | 158 landscapemetrics-1.2/landscapemetrics/man/lsm_c_dcore_sd.Rd | 164 landscapemetrics-1.2/landscapemetrics/man/lsm_c_division.Rd | 128 landscapemetrics-1.2/landscapemetrics/man/lsm_c_ed.Rd | 148 landscapemetrics-1.2/landscapemetrics/man/lsm_c_enn_cv.Rd | 158 landscapemetrics-1.2/landscapemetrics/man/lsm_c_enn_mn.Rd | 158 landscapemetrics-1.2/landscapemetrics/man/lsm_c_enn_sd.Rd | 158 landscapemetrics-1.2/landscapemetrics/man/lsm_c_frac_cv.Rd | 146 landscapemetrics-1.2/landscapemetrics/man/lsm_c_frac_mn.Rd | 138 landscapemetrics-1.2/landscapemetrics/man/lsm_c_frac_sd.Rd | 144 landscapemetrics-1.2/landscapemetrics/man/lsm_c_gyrate_cv.Rd | 148 landscapemetrics-1.2/landscapemetrics/man/lsm_c_gyrate_mn.Rd | 146 landscapemetrics-1.2/landscapemetrics/man/lsm_c_gyrate_sd.Rd | 146 landscapemetrics-1.2/landscapemetrics/man/lsm_c_iji.Rd | 132 landscapemetrics-1.2/landscapemetrics/man/lsm_c_lpi.Rd | 128 landscapemetrics-1.2/landscapemetrics/man/lsm_c_lsi.Rd | 134 landscapemetrics-1.2/landscapemetrics/man/lsm_c_mesh.Rd | 138 landscapemetrics-1.2/landscapemetrics/man/lsm_c_ndca.Rd | 158 landscapemetrics-1.2/landscapemetrics/man/lsm_c_nlsi.Rd | 132 landscapemetrics-1.2/landscapemetrics/man/lsm_c_np.Rd | 120 landscapemetrics-1.2/landscapemetrics/man/lsm_c_pafrac.Rd | 152 landscapemetrics-1.2/landscapemetrics/man/lsm_c_para_cv.Rd | 140 landscapemetrics-1.2/landscapemetrics/man/lsm_c_para_mn.Rd | 140 landscapemetrics-1.2/landscapemetrics/man/lsm_c_para_sd.Rd | 140 landscapemetrics-1.2/landscapemetrics/man/lsm_c_pd.Rd | 130 landscapemetrics-1.2/landscapemetrics/man/lsm_c_pladj.Rd | 114 landscapemetrics-1.2/landscapemetrics/man/lsm_c_pland.Rd | 126 landscapemetrics-1.2/landscapemetrics/man/lsm_c_shape_cv.Rd | 142 landscapemetrics-1.2/landscapemetrics/man/lsm_c_shape_mn.Rd | 142 landscapemetrics-1.2/landscapemetrics/man/lsm_c_shape_sd.Rd | 142 landscapemetrics-1.2/landscapemetrics/man/lsm_c_split.Rd | 134 landscapemetrics-1.2/landscapemetrics/man/lsm_c_tca.Rd | 156 landscapemetrics-1.2/landscapemetrics/man/lsm_c_te.Rd | 140 landscapemetrics-1.2/landscapemetrics/man/lsm_l_ai.Rd | 130 landscapemetrics-1.2/landscapemetrics/man/lsm_l_area_cv.Rd | 134 landscapemetrics-1.2/landscapemetrics/man/lsm_l_area_mn.Rd | 136 landscapemetrics-1.2/landscapemetrics/man/lsm_l_area_sd.Rd | 132 landscapemetrics-1.2/landscapemetrics/man/lsm_l_cai_cv.Rd | 166 landscapemetrics-1.2/landscapemetrics/man/lsm_l_cai_mn.Rd | 160 landscapemetrics-1.2/landscapemetrics/man/lsm_l_cai_sd.Rd | 164 landscapemetrics-1.2/landscapemetrics/man/lsm_l_circle_cv.Rd | 146 landscapemetrics-1.2/landscapemetrics/man/lsm_l_circle_mn.Rd | 144 landscapemetrics-1.2/landscapemetrics/man/lsm_l_circle_sd.Rd | 148 landscapemetrics-1.2/landscapemetrics/man/lsm_l_cohesion.Rd | 126 landscapemetrics-1.2/landscapemetrics/man/lsm_l_condent.Rd | 134 landscapemetrics-1.2/landscapemetrics/man/lsm_l_contag.Rd | 136 landscapemetrics-1.2/landscapemetrics/man/lsm_l_contig_cv.Rd | 156 landscapemetrics-1.2/landscapemetrics/man/lsm_l_contig_mn.Rd | 154 landscapemetrics-1.2/landscapemetrics/man/lsm_l_contig_sd.Rd | 156 landscapemetrics-1.2/landscapemetrics/man/lsm_l_core_cv.Rd | 160 landscapemetrics-1.2/landscapemetrics/man/lsm_l_core_mn.Rd | 156 landscapemetrics-1.2/landscapemetrics/man/lsm_l_core_sd.Rd | 158 landscapemetrics-1.2/landscapemetrics/man/lsm_l_dcad.Rd | 156 landscapemetrics-1.2/landscapemetrics/man/lsm_l_dcore_cv.Rd | 164 landscapemetrics-1.2/landscapemetrics/man/lsm_l_dcore_mn.Rd | 158 landscapemetrics-1.2/landscapemetrics/man/lsm_l_dcore_sd.Rd | 162 landscapemetrics-1.2/landscapemetrics/man/lsm_l_division.Rd | 134 landscapemetrics-1.2/landscapemetrics/man/lsm_l_ed.Rd | 148 landscapemetrics-1.2/landscapemetrics/man/lsm_l_enn_cv.Rd | 158 landscapemetrics-1.2/landscapemetrics/man/lsm_l_enn_mn.Rd | 158 landscapemetrics-1.2/landscapemetrics/man/lsm_l_enn_sd.Rd | 158 landscapemetrics-1.2/landscapemetrics/man/lsm_l_ent.Rd | 117 landscapemetrics-1.2/landscapemetrics/man/lsm_l_frac_cv.Rd | 146 landscapemetrics-1.2/landscapemetrics/man/lsm_l_frac_mn.Rd | 144 landscapemetrics-1.2/landscapemetrics/man/lsm_l_frac_sd.Rd | 144 landscapemetrics-1.2/landscapemetrics/man/lsm_l_gyrate_cv.Rd | 148 landscapemetrics-1.2/landscapemetrics/man/lsm_l_gyrate_mn.Rd | 146 landscapemetrics-1.2/landscapemetrics/man/lsm_l_gyrate_sd.Rd | 146 landscapemetrics-1.2/landscapemetrics/man/lsm_l_iji.Rd | 134 landscapemetrics-1.2/landscapemetrics/man/lsm_l_joinent.Rd | 128 landscapemetrics-1.2/landscapemetrics/man/lsm_l_lpi.Rd | 128 landscapemetrics-1.2/landscapemetrics/man/lsm_l_lsi.Rd | 134 landscapemetrics-1.2/landscapemetrics/man/lsm_l_mesh.Rd | 138 landscapemetrics-1.2/landscapemetrics/man/lsm_l_msidi.Rd | 132 landscapemetrics-1.2/landscapemetrics/man/lsm_l_msiei.Rd | 122 landscapemetrics-1.2/landscapemetrics/man/lsm_l_mutinf.Rd | 130 landscapemetrics-1.2/landscapemetrics/man/lsm_l_ndca.Rd | 158 landscapemetrics-1.2/landscapemetrics/man/lsm_l_np.Rd | 122 landscapemetrics-1.2/landscapemetrics/man/lsm_l_pafrac.Rd | 152 landscapemetrics-1.2/landscapemetrics/man/lsm_l_para_cv.Rd | 140 landscapemetrics-1.2/landscapemetrics/man/lsm_l_para_mn.Rd | 140 landscapemetrics-1.2/landscapemetrics/man/lsm_l_para_sd.Rd | 140 landscapemetrics-1.2/landscapemetrics/man/lsm_l_pd.Rd | 130 landscapemetrics-1.2/landscapemetrics/man/lsm_l_pladj.Rd | 114 landscapemetrics-1.2/landscapemetrics/man/lsm_l_pr.Rd | 110 landscapemetrics-1.2/landscapemetrics/man/lsm_l_prd.Rd | 120 landscapemetrics-1.2/landscapemetrics/man/lsm_l_rpr.Rd | 136 landscapemetrics-1.2/landscapemetrics/man/lsm_l_shape_cv.Rd | 142 landscapemetrics-1.2/landscapemetrics/man/lsm_l_shape_mn.Rd | 142 landscapemetrics-1.2/landscapemetrics/man/lsm_l_shape_sd.Rd | 142 landscapemetrics-1.2/landscapemetrics/man/lsm_l_shdi.Rd | 122 landscapemetrics-1.2/landscapemetrics/man/lsm_l_shei.Rd | 126 landscapemetrics-1.2/landscapemetrics/man/lsm_l_sidi.Rd | 132 landscapemetrics-1.2/landscapemetrics/man/lsm_l_siei.Rd | 132 landscapemetrics-1.2/landscapemetrics/man/lsm_l_split.Rd | 134 landscapemetrics-1.2/landscapemetrics/man/lsm_l_ta.Rd | 124 landscapemetrics-1.2/landscapemetrics/man/lsm_l_tca.Rd | 154 landscapemetrics-1.2/landscapemetrics/man/lsm_l_te.Rd | 124 landscapemetrics-1.2/landscapemetrics/man/lsm_p_area.Rd | 138 landscapemetrics-1.2/landscapemetrics/man/lsm_p_cai.Rd | 166 landscapemetrics-1.2/landscapemetrics/man/lsm_p_circle.Rd | 148 landscapemetrics-1.2/landscapemetrics/man/lsm_p_contig.Rd | 158 landscapemetrics-1.2/landscapemetrics/man/lsm_p_core.Rd | 164 landscapemetrics-1.2/landscapemetrics/man/lsm_p_enn.Rd | 158 landscapemetrics-1.2/landscapemetrics/man/lsm_p_frac.Rd | 146 landscapemetrics-1.2/landscapemetrics/man/lsm_p_gyrate.Rd | 142 landscapemetrics-1.2/landscapemetrics/man/lsm_p_ncore.Rd | 166 landscapemetrics-1.2/landscapemetrics/man/lsm_p_para.Rd | 140 landscapemetrics-1.2/landscapemetrics/man/lsm_p_perim.Rd | 118 landscapemetrics-1.2/landscapemetrics/man/lsm_p_shape.Rd | 144 landscapemetrics-1.2/landscapemetrics/man/matrix_to_raster.Rd | 81 landscapemetrics-1.2/landscapemetrics/man/options_landscapemetrics.Rd | 56 landscapemetrics-1.2/landscapemetrics/man/pad_raster.Rd | 136 landscapemetrics-1.2/landscapemetrics/man/podlasie_ccilc.Rd | 36 landscapemetrics-1.2/landscapemetrics/man/proj_info.Rd | 54 landscapemetrics-1.2/landscapemetrics/man/raster_to_points.Rd | 86 landscapemetrics-1.2/landscapemetrics/man/rcpp_cell_from_xy.Rd | 38 landscapemetrics-1.2/landscapemetrics/man/rcpp_create_neighborhood.Rd | 38 landscapemetrics-1.2/landscapemetrics/man/rcpp_get_nearest_neighbor.Rd | 44 landscapemetrics-1.2/landscapemetrics/man/rcpp_xy_from_matrix.Rd | 36 landscapemetrics-1.2/landscapemetrics/man/sample_lsm.Rd | 226 - landscapemetrics-1.2/landscapemetrics/man/scale_sample.Rd |only landscapemetrics-1.2/landscapemetrics/man/scale_window.Rd |only landscapemetrics-1.2/landscapemetrics/man/show_cores.Rd | 148 landscapemetrics-1.2/landscapemetrics/man/show_correlation.Rd | 83 landscapemetrics-1.2/landscapemetrics/man/show_lsm.Rd | 140 landscapemetrics-1.2/landscapemetrics/man/show_patches.Rd | 112 landscapemetrics-1.2/landscapemetrics/man/spatialize_lsm.Rd | 144 landscapemetrics-1.2/landscapemetrics/man/window_lsm.Rd | 172 landscapemetrics-1.2/landscapemetrics/src/Makevars | 4 landscapemetrics-1.2/landscapemetrics/src/Makevars.win | 4 landscapemetrics-1.2/landscapemetrics/src/rcpp_get_coocurrence_matrix.cpp | 16 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-calculate-lsm.R | 212 - landscapemetrics-1.2/landscapemetrics/tests/testthat/test-calculate_correlation.R |only landscapemetrics-1.2/landscapemetrics/tests/testthat/test-check-landscape.R | 36 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-construct-buffer.R | 62 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-extract-lsm.R | 209 - landscapemetrics-1.2/landscapemetrics/tests/testthat/test-get-circumscribungcircle.R | 145 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-get-unique-values.R | 182 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-list-lsm.R | 185 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-lsm-c-iji.R | 68 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-lsm-c-pafrac.R | 71 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-lsm-l-contag.R | 66 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-lsm-l-iji.R | 68 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-lsm-l-pafrac.R | 66 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-lsm-l-rpr.R | 8 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-lsm-l-te.R | 2 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-pad-raster.R | 13 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-sample-lsm.R | 379 +- landscapemetrics-1.2/landscapemetrics/tests/testthat/test-scale-sample.R |only landscapemetrics-1.2/landscapemetrics/tests/testthat/test-scale-window.R |only landscapemetrics-1.2/landscapemetrics/tests/testthat/test-show-cores.R | 108 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-show-correlation.R | 57 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-show-lsm.R | 92 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-show-patches.R | 76 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-spatialize-lsm.R | 150 landscapemetrics-1.2/landscapemetrics/tests/testthat/test-window-lsm.R | 84 239 files changed, 18901 insertions(+), 18515 deletions(-)
More information about landscapemetrics at CRAN
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Title: Conditional Maximum Likelihood for Quadratic Exponential Models
for Binary Panel Data
Description: Estimation, based on conditional maximum likelihood, of the quadratic exponential model proposed by Bartolucci, F. & Nigro, V. (2010, Econometrica) <DOI:10.3982/ECTA7531> and of a simplified and a modified version of this model. The quadratic exponential model is suitable for the analysis of binary longitudinal data when state dependence (further to the effect of the covariates and a time-fixed individual intercept) has to be taken into account. Therefore, this is an alternative to the dynamic logit model having the advantage of easily allowing conditional inference in order to eliminate the individual intercepts and then getting consistent estimates of the parameters of main interest (for the covariates and the lagged response). The simplified version of this model does not distinguish, as the original model does, between the last time occasion and the previous occasions. The modified version formulates in a different way the interaction terms and it may be used to test in a easy way state dependence as shown in Bartolucci, F., Nigro, V. & Pigini, C. (2018, Econometric Reviews) <DOI:10.1080/07474938.2015.1060039>. The package also includes estimation of the dynamic logit model by a pseudo conditional estimator based on the quadratic exponential model, as proposed by Bartolucci, F. & Nigro, V. (2012, Journal of Econometrics) <DOI:10.1016/j.jeconom.2012.03.004>. For large time dimensions of the panel, the computation of the proposed models involves a recursive function adapted from Krailo M. D., & Pike M. C. (1984, Journal of the Royal Statistical Society. Series C (Applied Statistics)).
Author: Francesco Bartolucci (University of Perugia), Claudia Pigini (University of Ancona "Politecnica delle Marche"), Francesco Valentini (University of Ancona "Politecnica delle Marche")
Maintainer: Francesco Bartolucci <francesco.bartolucci@unipg.it>
Diff between cquad versions 2.0 dated 2019-03-26 and 2.1 dated 2019-07-02
DESCRIPTION | 8 ++--- MD5 | 10 +++---- R/cquad_ext.R | 72 +++++++++++++++++++++++++-------------------------- R/quasi_sym.R | 2 - R/quasi_sym_equ.R | 2 - R/quasi_sym_pseudo.R | 17 ------------ 6 files changed, 48 insertions(+), 63 deletions(-)
Title: Tools for Working with ...
Description: The ellipsis is a powerful tool for extending functions. Unfortunately
this power comes at a cost: misspelled arguments will be silently ignored.
The ellipsis package provides a collection of functions to catch problems
and alert the user.
Author: Hadley Wickham [aut, cre],
RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>
Diff between ellipsis versions 0.2.0 dated 2019-06-20 and 0.2.0.1 dated 2019-07-02
DESCRIPTION | 6 +++--- MD5 | 4 ++-- src/dots.c | 4 ++-- 3 files changed, 7 insertions(+), 7 deletions(-)
Title: A Basic Set of Functions for Compositional Data Analysis
Description: A minimum set of functions to perform compositional data analysis
using the log-ratio approach introduced by John Aitchison (1982) <http://www.jstor.org/stable/2345821>. Main functions
have been implemented in c++ for better performance.
Author: Marc Comas-Cufí [aut, cre] (<https://orcid.org/0000-0001-9759-0622>)
Maintainer: Marc Comas-Cufí <mcomas@imae.udg.edu>
Diff between coda.base versions 0.1.12 dated 2019-04-15 and 0.2.1 dated 2019-07-02
coda.base-0.1.12/coda.base/inst/include |only coda.base-0.2.1/coda.base/DESCRIPTION | 16 +-- coda.base-0.2.1/coda.base/MD5 | 34 +++--- coda.base-0.2.1/coda.base/NEWS | 7 + coda.base-0.2.1/coda.base/R/RcppExports.R | 4 coda.base-0.2.1/coda.base/R/coordinates.R | 25 ++-- coda.base-0.2.1/coda.base/README.md | 15 ++ coda.base-0.2.1/coda.base/inst/doc/coordinates.R | 24 ++++ coda.base-0.2.1/coda.base/inst/doc/coordinates.Rmd | 63 +++++++++-- coda.base-0.2.1/coda.base/inst/doc/coordinates.html | 101 ++++++++++++++----- coda.base-0.2.1/coda.base/man/ilr_basis.Rd | 2 coda.base-0.2.1/coda.base/src/Makevars | 1 coda.base-0.2.1/coda.base/src/Makevars.win | 1 coda.base-0.2.1/coda.base/src/RcppExports.cpp | 12 ++ coda.base-0.2.1/coda.base/src/coda.cpp | 2 coda.base-0.2.1/coda.base/src/coda.h |only coda.base-0.2.1/coda.base/src/principal_balances.cpp | 64 ++++++++++++ coda.base-0.2.1/coda.base/tests |only coda.base-0.2.1/coda.base/vignettes/coordinates.Rmd | 63 +++++++++-- 19 files changed, 345 insertions(+), 89 deletions(-)
Title: Bayesian Network Structure Learning from Data with Missing
Values
Description: Bayesian Network Structure Learning from Data with Missing Values.
The package implements the Silander-Myllymaki complete search,
the Max-Min Parents-and-Children, the Hill-Climbing, the
Max-Min Hill-climbing heuristic searches, and the Structural
Expectation-Maximization algorithm. Available scoring functions are
BDeu, AIC, BIC. The package also implements methods for generating and using
bootstrap samples, imputed data, inference.
Author: Francesco Sambo [aut],
Alberto Franzin [aut, cre]
Maintainer: Alberto Franzin <afranzin@ulb.ac.be>
Diff between bnstruct versions 1.0.4 dated 2018-08-31 and 1.0.5 dated 2019-07-02
DESCRIPTION | 14 +- MD5 | 246 ++++++++++++++++++++-------------------- NAMESPACE | 3 NEWS | 8 + R/AllClasses.R | 13 +- R/AllGenerics.R | 84 +++++-------- R/BN-methods.R | 97 +++++++++++---- R/BNDataset-methods.R | 28 ++++ R/InferenceEngine-methods.R | 84 ++++++++----- R/beliefPropagation-methods.R | 201 +++++++++++++++++++------------- R/em.R | 19 ++- R/io-methods.R | 23 +++ R/learn-methods.R | 5 R/mmhc.R | 12 + R/sem.R | 22 ++- R/sm.R | 8 - R/util.R | 9 + README.md | 2 build/vignette.rds |binary data/asia_10000.rda |binary data/asia_2_layers.rda |only data/child_NA_5000.rda |binary inst/doc/bnstruct.R | 16 +- inst/doc/bnstruct.Rnw | 16 +- inst/doc/bnstruct.pdf |binary man/BN-class.Rd | 9 - man/BNDataset-class.Rd | 9 - man/InferenceEngine-class.Rd | 6 man/add.observations-set.Rd | 1 man/asia.Rd | 1 man/asia_10000.Rd | 1 man/asia_2_layers.Rd |only man/belief.propagation.Rd | 3 man/bn-method.Rd | 3 man/bn-set.Rd | 1 man/boot.Rd | 6 man/boots-set.Rd | 1 man/boots.Rd | 3 man/bootstrap.Rd | 3 man/build.junction.tree.Rd | 3 man/child.Rd | 1 man/child_NA_5000.Rd | 1 man/complete.Rd | 6 man/cpts-set.Rd | 1 man/cpts.Rd | 3 man/dag-set.Rd | 1 man/dag.Rd | 3 man/dag.to.cpdag.Rd | 1 man/data.file-set.Rd | 1 man/data.file.Rd | 3 man/discreteness-set.Rd | 4 man/discreteness.Rd | 8 - man/edge.dir.wpdag.Rd | 1 man/em.Rd | 3 man/get.most.probable.values.Rd | 17 +- man/has.boots.Rd | 3 man/has.imputed.boots.Rd | 3 man/has.imputed.data.Rd | 3 man/has.raw.data.Rd | 3 man/header.file-set.Rd | 1 man/header.file.Rd | 3 man/imp.boots-set.Rd | 1 man/imp.boots.Rd | 3 man/impute.Rd | 3 man/imputed.data-set.Rd | 1 man/imputed.data.Rd | 3 man/jpts-set.Rd | 1 man/jpts.Rd | 3 man/jt.cliques-set.Rd | 1 man/jt.cliques.Rd | 3 man/junction.tree-set.Rd | 1 man/junction.tree.Rd | 3 man/knn.impute.Rd | 5 man/layering.Rd | 3 man/learn.dynamic.network.Rd | 27 ++-- man/learn.network.Rd | 31 ++--- man/learn.params.Rd | 3 man/learn.structure.Rd | 17 +- man/marginals.Rd | 3 man/name-set.Rd | 4 man/name.Rd | 8 - man/node.sizes-set.Rd | 4 man/node.sizes.Rd | 8 - man/num.boots-set.Rd | 1 man/num.boots.Rd | 3 man/num.items-set.Rd | 1 man/num.items.Rd | 3 man/num.nodes-set.Rd | 4 man/num.nodes.Rd | 8 - man/num.time.steps-set.Rd | 4 man/num.time.steps.Rd | 8 - man/num.variables-set.Rd | 1 man/num.variables.Rd | 3 man/observations-set.Rd | 1 man/observations.Rd | 3 man/plot.Rd | 3 man/print.Rd | 10 - man/quantiles-set.Rd |only man/quantiles.Rd |only man/raw.data-set.Rd | 1 man/raw.data.Rd | 3 man/read.bif.Rd | 3 man/read.dataset.Rd | 3 man/read.dsc.Rd | 3 man/read.net.Rd | 3 man/sample.dataset.Rd | 8 - man/sample.row.Rd | 3 man/save.to.eps.Rd | 3 man/scoring.func-set.Rd | 1 man/scoring.func.Rd | 3 man/shd.Rd | 1 man/show.Rd | 1 man/struct.algo-set.Rd | 1 man/struct.algo.Rd | 3 man/test.updated.bn.Rd | 3 man/tune.knn.impute.Rd | 1 man/updated.bn-method.Rd | 3 man/updated.bn-set.Rd | 1 man/variables-set.Rd | 4 man/variables.Rd | 8 - man/wpdag-set.Rd | 1 man/wpdag.Rd | 3 man/wpdag.from.dag.Rd | 3 man/write.dsc.Rd | 3 man/write_xgmml.Rd | 1 vignettes/bnstruct.Rnw | 16 +- 126 files changed, 719 insertions(+), 587 deletions(-)
Title: Mesh Generation and Surface Tessellation
Description: Makes the 'Qhull' library <http://www.qhull.org>
available in R, in a similar manner as in Octave and MATLAB. Qhull
computes convex hulls, Delaunay triangulations, halfspace
intersections about a point, Voronoi diagrams, furthest-site
Delaunay triangulations, and furthest-site Voronoi diagrams. It
runs in 2D, 3D, 4D, and higher dimensions. It implements the
Quickhull algorithm for computing the convex hull. Qhull does not
support constrained Delaunay triangulations, or mesh generation of
non-convex objects, but the package does include some R functions
that allow for this.
Author: Jean-Romain Roussel [cph, ctb] (wrote tsearch function with QuadTrees),
C. B. Barber [cph],
Kai Habel [cph, aut],
Raoul Grasman [cph, aut],
Robert B. Gramacy [cph, aut],
Pavlo Mozharovskyi [cph, aut],
David C. Sterratt [cph, aut, cre]
(<https://orcid.org/0000-0001-9092-9099>)
Maintainer: David C. Sterratt <david.c.sterratt@ed.ac.uk>
Diff between geometry versions 0.4.1 dated 2019-03-27 and 0.4.1.1 dated 2019-07-02
DESCRIPTION | 8 +++++--- MD5 | 6 +++--- R/tsearch.R | 2 +- src/geometry_init.c | 2 +- 4 files changed, 10 insertions(+), 8 deletions(-)
Title: Unified Parallel and Distributed Processing in R for Everyone
Description: The purpose of this package is to provide a lightweight and
unified Future API for sequential and parallel processing of R
expression via futures. The simplest way to evaluate an expression
in parallel is to use `x %<-% { expression }` with `plan(multiprocess)`.
This package implements sequential, multicore, multisession, and
cluster futures. With these, R expressions can be evaluated on the
local machine, in parallel a set of local machines, or distributed
on a mix of local and remote machines.
Extensions to this package implement additional backends for
processing futures via compute cluster schedulers etc.
Because of its unified API, there is no need to modify any code in order
switch from sequential on the local machine to, say, distributed
processing on a remote compute cluster.
Another strength of this package is that global variables and functions
are automatically identified and exported as needed, making it
straightforward to tweak existing code to make use of futures.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Diff between future versions 1.13.0 dated 2019-05-08 and 1.14.0 dated 2019-07-02
DESCRIPTION | 6 - MD5 | 124 +++++++++++++------------- NAMESPACE | 2 NEWS | 81 ++++++++++++++++- R/ClusterFuture-class.R | 18 ++- R/ConstantFuture-class.R | 6 + R/Future-class.R | 110 ++++++++++++++--------- R/FutureCondition-class.R | 37 ------- R/FutureResult-class.R | 41 +++----- R/MulticoreFuture-class.R | 13 ++ R/UniprocessFuture-class.R | 13 ++ R/backtrace.R | 24 +++-- R/connections.R | 22 +++- R/future.R | 37 ++++--- R/futureCall.R | 4 R/globals.R | 2 R/makeClusterPSOCK.R | 16 +-- R/multicore.R | 2 R/multiprocess.R | 2 R/nbrOfWorkers.R | 3 R/options.R | 54 ++++++----- R/resolve.R | 174 ++++++++++++++++++++++++------------- R/resolved.R | 14 +- R/signalConditions.R |only R/signalEarly.R | 77 ++-------------- R/supportsMulticore.R | 56 +++++++++-- R/values.R | 66 ++++++++------ R/zzz.R | 88 +++++++++++++----- R/zzz.plan.R | 2 demo/fibonacci.R | 13 +- demo/mandelbrot.R | 3 inst/doc/future-1-overview.html | 2 inst/doc/future-1-overview.md.rsp | 2 inst/doc/future-4-issues.html | 102 +++++++++++++++++++++ inst/doc/future-4-issues.md.rsp | 114 ++++++++++++++++++++++++ man/Future-class.Rd | 6 - man/FutureCondition.Rd | 4 man/FutureResult.Rd | 12 -- man/backtrace.Rd | 7 + man/cluster.Rd | 6 - man/future.Rd | 17 --- man/future.options.Rd | 56 ++++++----- man/getGlobalsAndPackages.Rd | 2 man/makeClusterPSOCK.Rd | 16 +-- man/multicore.Rd | 2 man/multiprocess.Rd | 2 man/multisession.Rd | 2 man/nbrOfWorkers.Rd | 3 man/plan.Rd | 7 - man/resolve.Rd | 35 ++++--- man/resolved.Rd | 5 - man/sequential.Rd | 2 man/signalConditions.Rd |only man/supportsMulticore.Rd | 28 ++++- man/values.Rd | 9 + tests/FutureError.R | 6 - tests/futureAssign_OP.R | 2 tests/immediateCondition.R |only tests/incl/end.R | 6 + tests/nested_futures.R | 8 - tests/plan.R | 26 ++--- tests/relaying.R |only tests/startup.R | 34 ++++--- vignettes/future-1-overview.md.rsp | 2 vignettes/future-4-issues.md.rsp | 114 ++++++++++++++++++++++++ 65 files changed, 1162 insertions(+), 587 deletions(-)
Title: 'shiny' App to Discover Cocktails
Description: A 'shiny' app to discover cocktails. The
app allows one to search for cocktails by ingredient,
filter on rating, and number of ingredients. The
package also contains data with the ingredients of
nearly 26 thousand cocktails scraped from the web.
Author: Steven E. Pav [aut, cre] (<https://orcid.org/0000-0002-4197-6195>)
Maintainer: Steven E. Pav <shabbychef@gmail.com>
Diff between cocktailApp versions 0.2.0 dated 2018-08-19 and 0.2.1 dated 2019-07-02
ChangeLog | 5 + DESCRIPTION | 14 +-- MD5 | 18 ++-- NAMESPACE | 7 + R/cocktailApp.r | 141 ++++++++++++++++++++----------------- data/cocktails.rda |binary man/NEWS.Rd | 10 ++ man/cocktailApp.Rd | 9 ++ man/figures/Screenshot-ternary.png |binary tests/testthat/test-basic.r | 103 +++++++++++++-------------- 10 files changed, 172 insertions(+), 135 deletions(-)
Title: Sparse Additive Modelling
Description: Computationally efficient tools for high dimensional predictive
modeling (regression and classification). SAM is short for sparse
additive modeling, and adopts the computationally efficient basis
spline technique. We solve the optimization problems by various
computational algorithms including the block coordinate descent
algorithm, fast iterative soft-thresholding algorithm, and newton method.
The computation is further accelerated by warm-start and active-set tricks.
Author: Haoming Jiang, Yukun Ma, Han Liu, Kathryn Roeder, Xingguo Li, and Tuo Zhao
Maintainer: Haoming Jiang <jianghm.ustc@gmail.com>
Diff between SAM versions 1.1.2 dated 2019-04-07 and 1.1.2.1 dated 2019-07-02
DESCRIPTION | 8 +++++--- MD5 | 10 +++++----- R/samEL.R | 2 +- R/samHL.R | 2 +- R/samLL.R | 2 +- R/samQL.R | 2 +- 6 files changed, 14 insertions(+), 12 deletions(-)
Title: Family of Lasso Regression
Description: Provide the implementation of a family of Lasso variants including Dantzig Selector, LAD Lasso, SQRT Lasso, Lq Lasso for estimating high dimensional sparse linear model. We adopt the alternating direction method of multipliers and convert the original optimization problem into a sequential L1 penalized least square minimization problem, which can be efficiently solved by linearization algorithm. A multi-stage screening approach is adopted for further acceleration. Besides the sparse linear model estimation, we also provide the extension of these Lasso variants to sparse Gaussian graphical model estimation including TIGER and CLIME using either L1 or adaptive penalty. Missing values can be tolerated for Dantzig selector and CLIME. The computation is memory-optimized using the sparse matrix output.
Author: Xingguo Li, Tuo Zhao, Lie Wang, Xiaoming Yuan, and Han Liu
Maintainer: Xingguo Li <xingguo.leo@gmail.com>
Diff between flare versions 1.6.0 dated 2018-03-25 and 1.6.0.1 dated 2019-07-02
DESCRIPTION | 8 +++++--- MD5 | 6 +++--- R/sugm.generator.R | 2 +- src/registerDynamicSymbol.c | 37 ++++++++++++++++++++++++++++++------- 4 files changed, 39 insertions(+), 14 deletions(-)
Title: Distributed Storage and List
Description: An abstract DList class helps storing large list-type objects in a distributed manner. Corresponding high-level functions and methods for handling distributed storage (DStorage) and lists allows for processing such DLists on distributed systems efficiently. In doing so it uses a well defined storage backend implemented based on the DStorage class.
Author: Ingo Feinerer [aut],
Stefan Theussl [aut, cre],
Christian Buchta [ctb]
Maintainer: Stefan Theussl <Stefan.Theussl@R-project.org>
Diff between DSL versions 0.1-6 dated 2015-07-02 and 0.1-6.1 dated 2019-07-02
DESCRIPTION | 8 +++++--- MD5 | 5 +++-- R/utils.R | 2 +- src/init.c |only 4 files changed, 9 insertions(+), 6 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-09-02 0.9.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-01-03 1.1-2
2018-10-17 1.1-1
2018-04-18 1.0-2
2018-04-13 1.0-1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-09-15 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-12-03 1.2
2013-09-19 1.1
2013-04-16 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-12-21 0.2.4.1
2015-11-15 0.2.4.0
2014-02-23 0.2.3.9
2014-02-20 0.2.3.8
2014-01-11 0.2.3.7
2014-01-06 0.2.3.6
2013-05-22 0.2.3.5
2013-03-16 0.2.3.4
2013-02-08 0.2.3.3
2012-12-27 0.2.3.2
2012-12-09 0.2.3.1
2012-09-30 0.2.1
2012-08-10 0.2
2012-04-12 0.1.1
2012-03-25 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-05-29 1.1.1
2018-04-17 1.1.0
2017-08-08 1.0.0
2017-01-23 0.6.0
2016-02-20 0.3.0
2015-09-30 0.2.15
2015-09-21 0.2.13
2015-08-31 0.2.12
2015-01-26 0.2.9
2014-11-18 0.2.6
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-06-02 0.1-8
2014-11-12 0.1-7
2013-07-24 0.1-6
2013-03-16 0.1-5
2011-11-30 0.1-4
2010-08-06 0.1-3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-03-18 1.2.2
2018-03-14 1.2.1
2015-03-31 1.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-04-23 5.9.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-01-22 0.6.2
2012-11-29 0.6.1
2012-04-29 0.6
Title: Nonparametric Spatial Statistics
Description: Multidimensional nonparametric spatio-temporal (geo)statistics.
S3 classes and methods for multidimensional: linear binning,
local polynomial kernel regression, density and variogram estimation.
Nonparametric methods for simultaneous inference on both spatial trend
and variogram functions (for spatial processes).
Nonparametric residual kriging (spatial prediction).
Author: Ruben Fernandez-Casal [aut, cre]
(<https://orcid.org/0000-0002-5785-3739>)
Maintainer: Ruben Fernandez-Casal <rubenfcasal@gmail.com>
Diff between npsp versions 0.5-3 dated 2016-09-29 and 0.7-5 dated 2019-07-02
npsp-0.5-3/npsp/ChangeLog |only npsp-0.5-3/npsp/R/npsp-plot.R |only npsp-0.5-3/npsp/data/aquifer.rda |only npsp-0.5-3/npsp/data/earthquakes.rda |only npsp-0.7-5/npsp/DESCRIPTION | 25 npsp-0.7-5/npsp/MD5 | 178 ++-- npsp-0.7-5/npsp/NAMESPACE | 301 ++++--- npsp-0.7-5/npsp/NEWS.md |only npsp-0.7-5/npsp/R/bin.data.R | 25 npsp-0.7-5/npsp/R/coords.R | 2 npsp-0.7-5/npsp/R/cov.R | 53 - npsp-0.7-5/npsp/R/data.grid.R | 228 +++-- npsp-0.7-5/npsp/R/grid.par.R | 146 +-- npsp-0.7-5/npsp/R/h.cv.R | 1152 +++++++++++++-------------- npsp-0.7-5/npsp/R/interp.R | 2 npsp-0.7-5/npsp/R/kriging.R |only npsp-0.7-5/npsp/R/linearalgebra.R |only npsp-0.7-5/npsp/R/locpol.bin.R | 800 +++++++++---------- npsp-0.7-5/npsp/R/mask.R | 4 npsp-0.7-5/npsp/R/np.den.R | 2 npsp-0.7-5/npsp/R/np.geo.R |only npsp-0.7-5/npsp/R/np.svar.R | 28 npsp-0.7-5/npsp/R/npsp-gstat.R | 2 npsp-0.7-5/npsp/R/npsp-package.R | 111 ++ npsp-0.7-5/npsp/R/npsp-rules.R | 257 +++--- npsp-0.7-5/npsp/R/rgraphics.R | 2 npsp-0.7-5/npsp/R/scattersplot.R |only npsp-0.7-5/npsp/R/simage.R | 430 +++++----- npsp-0.7-5/npsp/R/sp.R |only npsp-0.7-5/npsp/R/spersp.R | 2 npsp-0.7-5/npsp/R/splot.R | 6 npsp-0.7-5/npsp/R/spoints.R | 341 ++++---- npsp-0.7-5/npsp/R/svar.bin.R | 248 ++--- npsp-0.7-5/npsp/R/svar.grid.R |only npsp-0.7-5/npsp/R/svar.plot.R |only npsp-0.7-5/npsp/R/svarmod.R | 41 npsp-0.7-5/npsp/R/svarmod.sb.R | 38 npsp-0.7-5/npsp/R/zzz.R | 9 npsp-0.7-5/npsp/README.md | 124 ++ npsp-0.7-5/npsp/build |only npsp-0.7-5/npsp/data/aquifer.RData |only npsp-0.7-5/npsp/data/earthquakes.RData |only npsp-0.7-5/npsp/data/precipitation.RData |only npsp-0.7-5/npsp/demo/00Index | 10 npsp-0.7-5/npsp/demo/datagrid.R | 88 +- npsp-0.7-5/npsp/inst/TODO | 25 npsp-0.7-5/npsp/inst/doc |only npsp-0.7-5/npsp/man/aquifer.Rd | 87 +- npsp-0.7-5/npsp/man/as.sp.Rd |only npsp-0.7-5/npsp/man/bin.den.Rd | 99 +- npsp-0.7-5/npsp/man/binning.Rd | 177 ++-- npsp-0.7-5/npsp/man/coords.Rd | 63 - npsp-0.7-5/npsp/man/coordvalues.Rd | 57 - npsp-0.7-5/npsp/man/covar.Rd | 69 - npsp-0.7-5/npsp/man/cpu.time.Rd | 92 +- npsp-0.7-5/npsp/man/data.grid.Rd | 92 +- npsp-0.7-5/npsp/man/disc.sb.Rd | 109 +- npsp-0.7-5/npsp/man/earthquakes.Rd | 75 - npsp-0.7-5/npsp/man/fitsvar.sb.iso.Rd | 246 ++--- npsp-0.7-5/npsp/man/grid.par.Rd | 85 +- npsp-0.7-5/npsp/man/h.cv.Rd | 285 +++--- npsp-0.7-5/npsp/man/interp.Rd | 126 +-- npsp-0.7-5/npsp/man/kappasb.Rd | 87 +- npsp-0.7-5/npsp/man/locpol.Rd | 287 +++--- npsp-0.7-5/npsp/man/mask.Rd | 121 +- npsp-0.7-5/npsp/man/np.den.Rd | 183 ++-- npsp-0.7-5/npsp/man/np.fitgeo.Rd |only npsp-0.7-5/npsp/man/np.geo.Rd |only npsp-0.7-5/npsp/man/np.kriging.Rd |only npsp-0.7-5/npsp/man/np.svar.Rd | 282 +++--- npsp-0.7-5/npsp/man/npsp-geoR.Rd | 93 +- npsp-0.7-5/npsp/man/npsp-gstat.Rd | 106 +- npsp-0.7-5/npsp/man/npsp-internals.Rd | 143 +-- npsp-0.7-5/npsp/man/npsp-package.Rd | 198 ++-- npsp-0.7-5/npsp/man/npsp.tolerance.Rd | 59 - npsp-0.7-5/npsp/man/plot.fitgeo.Rd |only npsp-0.7-5/npsp/man/precipitation.Rd |only npsp-0.7-5/npsp/man/rgraphics.Rd | 144 +-- npsp-0.7-5/npsp/man/rule.Rd | 127 +-- npsp-0.7-5/npsp/man/scattersplot.Rd |only npsp-0.7-5/npsp/man/simage.Rd | 335 ++++---- npsp-0.7-5/npsp/man/spersp.Rd | 344 ++++---- npsp-0.7-5/npsp/man/splot.Rd | 322 +++---- npsp-0.7-5/npsp/man/spoints.Rd | 292 +++---- npsp-0.7-5/npsp/man/sv.Rd | 72 - npsp-0.7-5/npsp/man/svar.bin.Rd | 135 +-- npsp-0.7-5/npsp/man/svar.grid.Rd |only npsp-0.7-5/npsp/man/svar.plot.Rd | 109 +- npsp-0.7-5/npsp/man/svarmod.Rd | 131 +-- npsp-0.7-5/npsp/man/varcov.Rd | 78 - npsp-0.7-5/npsp/src/Makevars | 6 npsp-0.7-5/npsp/src/besselzeros.f90 | 37 npsp-0.7-5/npsp/src/dsytrfi.f90 | 12 npsp-0.7-5/npsp/src/err_module.f90 | 27 npsp-0.7-5/npsp/src/grid_module.f90 | 44 - npsp-0.7-5/npsp/src/init.c |only npsp-0.7-5/npsp/src/linearalgebra.f90 |only npsp-0.7-5/npsp/src/linreg_module.f90 | 24 npsp-0.7-5/npsp/src/lp_module.f90 | 1288 +++++++++++++++---------------- npsp-0.7-5/npsp/vignettes |only 100 files changed, 5938 insertions(+), 5490 deletions(-)
Title: Companion Package for the Book "Model-Based Clustering and
Classification for Data Science" by Bouveyron et al. (2019,
ISBN:9781108644181).
Description: The companion package provides all original data sets and functions that are used in the book "Model-Based Clustering and Classification for Data Science" by Charles Bouveyron, Gilles Celeux, T. Brendan Murphy and Adrian E. Raftery (2019, ISBN:9781108644181).
Author: Charles Bouveyron and Gilles Celeux and T. Brendan Murphy and Adrian E. Raftery
Maintainer: Charles Bouveyron <charles.bouveyron@gmail.com>
Diff between MBCbook versions 0.1 dated 2019-04-09 and 0.1.1 dated 2019-07-02
MBCbook-0.1.1/MBCbook/DESCRIPTION | 8 ++++---- MBCbook-0.1.1/MBCbook/MD5 | 9 ++++----- MBCbook-0.1.1/MBCbook/NAMESPACE | 3 ++- MBCbook-0.1.1/MBCbook/build/partial.rdb |binary MBCbook-0.1.1/MBCbook/man/constrEM.Rd | 2 +- MBCbook-0.1/MBCbook/R/MBCbook-internal.R |only 6 files changed, 11 insertions(+), 11 deletions(-)
Title: Index of Local Sensitivity to Nonignorability
Description: The current version provides functions to compute, print and summarize the Index of Sensitivity to Nonignorability (ISNI) in the generalized linear model for independent data, and in the marginal multivariate Gaussian model and the mixed-effects models for continuous and binary longitudinal/clustered data. It allows for arbitrary patterns of missingness in the regression outcomes caused by dropout and/or intermittent missingness. One can compute the sensitivity index without estimating any nonignorable models or positing specific magnitude of nonignorability. Thus ISNI provides a simple quantitative assessment of how robust the standard estimates assuming missing at random is with respect to the assumption of ignorability. For a tutorial, download at <http://huixie.people.uic.edu/Research/ISNI_R_tutorial.pdf>. For more details, see Troxel Ma and Heitjan (2004) and Xie and Heitjan (2004) <doi:10.1191/1740774504cn005oa> and Ma Troxel and Heitjan (2005) <doi:10.1002/sim.2107> and Xie (2008) <doi:10.1002/sim.3117> and Xie (2012) <doi:10.1016/j.csda.2010.11.021> and Xie and Qian (2012) <doi:10.1002/jae.1157>.
Author: Hui Xie <huixie@uic.edu>, Weihua Gao, Baodong Xing, Daniel Heitjan, Donald Hedeker, Chengbo Yuan
Maintainer: Hui Xie <huixie@uic.edu>
Diff between isni versions 1.0 dated 2019-06-30 and 1.1 dated 2019-07-02
isni-1.0/isni/man/fun.ghqd.Rd |only isni-1.0/isni/man/fun.subiq.Rd |only isni-1.1/isni/DESCRIPTION | 6 ++-- isni-1.1/isni/MD5 | 12 +++------ isni-1.1/isni/NAMESPACE | 1 isni-1.1/isni/NEWS.md | 7 ++--- isni-1.1/isni/R/isniglmmbin.R | 40 +++++++++++++++--------------- isni-1.1/isni/inst/doc/isni_vignette.html | 20 +++++++-------- 8 files changed, 41 insertions(+), 45 deletions(-)
Title: R Wrappers for EXPOKIT; Other Matrix Functions
Description: Wraps some of the matrix exponentiation
utilities from EXPOKIT (<http://www.maths.uq.edu.au/expokit/>),
a FORTRAN library that is widely recommended for matrix
exponentiation (Sidje RB, 1998. "Expokit: A Software Package
for Computing Matrix Exponentials." ACM Trans. Math. Softw.
24(1): 130-156). EXPOKIT includes functions for
exponentiating both small, dense matrices, and large, sparse
matrices (in sparse matrices, most of the cells have value 0).
Rapid matrix exponentiation is useful in phylogenetics when we
have a large number of states (as we do when we are inferring
the history of transitions between the possible geographic
ranges of a species), but is probably useful in other ways as
well.
Author: Nicholas J. Matzke [aut, cre, cph],
Roger B. Sidje [aut, cph],
Drew Schmidt [aut]
Maintainer: Nicholas J. Matzke <nickmatzke.ncse@gmail.com>
Diff between rexpokit versions 0.26.6.2 dated 2019-06-27 and 0.26.6.4 dated 2019-07-02
DESCRIPTION | 8 MD5 | 26 NEWS | 47 R/rexpokit-package.R | 4 inst/CITATION | 2 inst/notes/2019-06-26_submission_email.txt | 12 inst/notes/2019-07-01_submission_email.txt |only inst/notes/2019-07-02_fix_LTO_errors_rexpokit.txt |only inst/notes/2019-07-02_submission_error.txt |only inst/notes/fortran_compilation_commands.txt |only inst/notes/src_changes_notes/2019-07-01_00install.out |only inst/notes/src_changes_notes/installation_by_hand.txt | 2 inst/notes/zexp_FORTRAN.f |only man/00_rexpokit-package.Rd | 4 src/lapack/blas_mod.f | 37 src/lapack/lapack.f | 108 src/my_expokit.f | 2125 ------------------ 17 files changed, 227 insertions(+), 2148 deletions(-)
Title: An Interface to Google's 'BigQuery' 'API'
Description: Easily talk to Google's 'BigQuery' database from R.
Author: Hadley Wickham [aut, cre] (<https://orcid.org/0000-0003-4757-117X>),
Jennifer Bryan [aut] (<https://orcid.org/0000-0002-6983-2759>),
Kungliga Tekniska Högskolan [ctb] (strptime implementation),
The NetBSD Foundation, Inc. [ctb] (gmtime implementation),
RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>
Diff between bigrquery versions 1.1.1 dated 2019-05-16 and 1.2.0 dated 2019-07-02
bigrquery-1.1.1/bigrquery/LICENSE |only bigrquery-1.1.1/bigrquery/R/auth.R |only bigrquery-1.1.1/bigrquery/R/secret.R |only bigrquery-1.1.1/bigrquery/inst/secret/service-token.json |only bigrquery-1.1.1/bigrquery/man/get_access_cred.Rd |only bigrquery-1.2.0/bigrquery/DESCRIPTION | 45 ++-- bigrquery-1.2.0/bigrquery/MD5 | 58 +++--- bigrquery-1.2.0/bigrquery/NAMESPACE | 15 + bigrquery-1.2.0/bigrquery/NEWS.md | 36 +++ bigrquery-1.2.0/bigrquery/R/bigrquery.R | 2 bigrquery-1.2.0/bigrquery/R/bq-auth.R |only bigrquery-1.2.0/bigrquery/R/bq-download.R | 6 bigrquery-1.2.0/bigrquery/R/bq-query.R | 4 bigrquery-1.2.0/bigrquery/R/bq-refs.R | 6 bigrquery-1.2.0/bigrquery/R/bq-request.R | 28 +- bigrquery-1.2.0/bigrquery/R/bq-table.R | 17 + bigrquery-1.2.0/bigrquery/R/bq-test.R | 23 +- bigrquery-1.2.0/bigrquery/R/gs-object.R | 14 - bigrquery-1.2.0/bigrquery/R/old-auth.R |only bigrquery-1.2.0/bigrquery/R/utils.R | 4 bigrquery-1.2.0/bigrquery/README.md | 104 +++++++---- bigrquery-1.2.0/bigrquery/inst/secret/bigrquery-testing.json |only bigrquery-1.2.0/bigrquery/man/api-table.Rd | 6 bigrquery-1.2.0/bigrquery/man/bigrquery-deprecated.Rd |only bigrquery-1.2.0/bigrquery/man/bigrquery-package.Rd | 9 bigrquery-1.2.0/bigrquery/man/bq_auth.Rd |only bigrquery-1.2.0/bigrquery/man/bq_auth_configure.Rd |only bigrquery-1.2.0/bigrquery/man/bq_deauth.Rd |only bigrquery-1.2.0/bigrquery/man/bq_has_token.Rd |only bigrquery-1.2.0/bigrquery/man/bq_query.Rd | 4 bigrquery-1.2.0/bigrquery/man/bq_test_project.Rd | 18 - bigrquery-1.2.0/bigrquery/man/bq_token.Rd |only bigrquery-1.2.0/bigrquery/man/bq_user.Rd |only bigrquery-1.2.0/bigrquery/src/BqField.cpp | 7 bigrquery-1.2.0/bigrquery/tests/testthat/setup-auth.R | 6 bigrquery-1.2.0/bigrquery/tests/testthat/test-bq-auth.R |only bigrquery-1.2.0/bigrquery/tests/testthat/test-bq-parse.R | 4 bigrquery-1.2.0/bigrquery/tests/testthat/test-bq-table.R | 16 + 38 files changed, 287 insertions(+), 145 deletions(-)
Title: Adjust Srt File to Get Better Experience when Watching Movie
Description: Srt file is a common subtitle format for videos, it contains subtitle and when the subtitle showed.
This package is for align time of srt file, and also change color, style and position of subtitle in videos,
the srt file will be read as a vector into R, and can be write into srt file after modified using this package.
Author: Jim Chen [aut, cre]
Maintainer: Jim Chen <jim71183@gmail.com>
Diff between SRTtools versions 1.0.0 dated 2019-05-29 and 1.1.0 dated 2019-07-02
DESCRIPTION | 10 +++++----- MD5 | 10 ++++++---- NAMESPACE | 1 + NEWS |only R/main.R | 40 ++++++++++++++++++++++++++++++++++++++++ README.md | 17 ++++++++++++++--- man/srt.insert.Rd |only 7 files changed, 66 insertions(+), 12 deletions(-)
Title: Simplifies Plotting Data Inside Databases
Description: Leverages 'dplyr' to process the calculations of a plot inside a database.
This package provides helper functions that abstract the work at three levels:
outputs a 'ggplot', outputs the calculations, outputs the formula
needed to calculate bins.
Author: Edgar Ruiz [aut, cre]
Maintainer: Edgar Ruiz <edgar@rstudio.com>
Diff between dbplot versions 0.3.1 dated 2019-03-03 and 0.3.2 dated 2019-07-02
DESCRIPTION | 8 MD5 | 81 ++-- NAMESPACE | 56 +-- NEWS.md | 82 ++-- R/boxplot.R | 235 ++++++------ R/dbbin.R | 115 +++--- R/dbplot.R | 18 R/discrete.R | 417 +++++++++++----------- R/histogram.R | 206 +++++------ R/raster.R | 362 +++++++++---------- README.md | 662 ++++++++++++++++++------------------ man/db_bin.Rd | 76 ++-- man/db_compute_bins.Rd | 80 ++-- man/db_compute_boxplot.Rd | 52 +- man/db_compute_count.Rd | 78 ++-- man/db_compute_raster.Rd | 120 +++--- man/dbplot_bar.Rd | 90 ++-- man/dbplot_boxplot.Rd | 60 +-- man/dbplot_histogram.Rd | 84 ++-- man/dbplot_line.Rd | 100 ++--- man/dbplot_raster.Rd | 126 +++--- man/figures/logo.png |binary tests/testthat.R | 12 tests/testthat/test-boxplots.R | 22 - tests/testthat/test-dbbin.R | 41 +- tests/testthat/test-dbplots.R | 34 - tests/testthat/test-discrete.R | 60 +-- tests/testthat/test-raster.R | 70 +-- tools/readme/unnamed-chunk-10-1.png |binary tools/readme/unnamed-chunk-11-1.png |binary tools/readme/unnamed-chunk-12-1.png |binary tools/readme/unnamed-chunk-13-1.png |binary tools/readme/unnamed-chunk-14-1.png |binary tools/readme/unnamed-chunk-15-1.png |only tools/readme/unnamed-chunk-16-1.png |binary tools/readme/unnamed-chunk-17-1.png |only tools/readme/unnamed-chunk-18-1.png |only tools/readme/unnamed-chunk-20-1.png |only tools/readme/unnamed-chunk-21-1.png |only tools/readme/unnamed-chunk-5-1.png |binary tools/readme/unnamed-chunk-6-1.png |binary tools/readme/unnamed-chunk-7-1.png |binary tools/readme/unnamed-chunk-8-1.png |binary tools/readme/unnamed-chunk-9-1.png |binary 44 files changed, 1678 insertions(+), 1669 deletions(-)