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2011-05-31 0.1.0
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2017-06-06 0.1.0
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2016-12-05 0.0.1
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2020-04-11 2.0
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2016-04-27 1.2
2016-02-21 1.1
2015-11-05 1.0
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2016-06-30 0.1.0
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2017-07-23 0.3-0
2016-12-12 0.2-8
2014-10-27 0.2-7
2014-05-11 0.2-6
2014-03-26 0.2-5
2012-12-12 0.2-3
2011-12-27 0.2-2
2011-09-11 0.2-1
2010-10-20 0.2-0
2010-02-26 0.1-9
2009-09-20 0.1-8
2009-04-28 0.1-7
2008-12-30 0.1-6
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2011-06-17 0.9.6.2
2010-12-06 0.9.6.0
2010-11-03 0.9.5.2
2010-08-03 0.9.5.1
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2010-10-26 0.1
Title: Allocating Seats Methods and Party System Scores
Description: Highest averages & largest remainders allocating seats methods and
several party system scores.
Implemented highest averages allocating seats methods are D'Hondt, Webster,
Danish, Imperiali, Hill-Huntington, Dean, Modified Sainte-Lague,
equal proportions and Adams.
Implemented largest remainders allocating seats methods are Hare, Droop,
Hangenbach-Bischoff, Imperial, modified Imperial and quotas & remainders.
The main advantage of this package is that ties are always reported
and not incorrectly allocated.
Party system scores provided are competitiveness, concentration,
effective number of parties, party nationalization score,
party system nationalization score and volatility.
References:
Gallagher (1991) <doi:10.1016/0261-3794(91)90004-C>.
Norris (2004, ISBN:0-521-82977-1).
Consejo Nacional Electoral del Ecuador (2014)<http://cne.gob.ec/documents/Estadisticas/Atlas/ATLAS/CAPITULO%206%20web.pdf>.
Laakso & Taagepera (1979) <http://journals.sagepub.com/doi/pdf/10.1177/001041407901200101>.
Jones & Mainwaring (2003) <https://kellogg.nd.edu/sites/default/files/old_files/documents/304_0.pdf>.
Pedersen (1979) <http://janda.org/c24/Readings/Pedersen/Pedersen.htm>.
Golosov (2010) <http://ppq.sagepub.com/content/16/2/171.abstract>.
Golosov (2014) <http://ppq.sagepub.com/content/early/2014/09/08/1354068814549342.abstract>.
Author: Jorge Albuja
Maintainer: Jorge Albuja <albuja@yahoo.com>
Diff between electoral versions 0.1.1 dated 2018-10-25 and 0.1.2 dated 2020-05-19
DESCRIPTION | 10 + MD5 | 34 ++--- R/competitiveness.R | 6 - R/concentration.R | 6 - R/effective_number_of_parties.R | 23 ++-- R/party_nationalization_score.R | 28 +++- R/party_system_nationalization_score.R | 42 ++++--- R/seats_highest_averages.R | 172 +++++++++++++++--------------- R/seats_largest_reminders.R | 147 ++++++++++++------------- README.md | 18 ++- man/competitiveness.Rd | 54 ++++----- man/concentration.Rd | 60 +++++----- man/effective_number_of_parties.Rd | 60 +++++----- man/party_nationalization_score.Rd | 72 ++++++------ man/party_system_nationalization_score.Rd | 89 ++++++++------- man/seats_highest_averages.Rd | 108 +++++++++--------- man/seats_largest_remainders.Rd | 98 ++++++++--------- man/volatility.Rd | 56 ++++----- 18 files changed, 562 insertions(+), 521 deletions(-)
Title: Tools for 'iNZight'
Description: Provides a collection of wrapper functions for common variable and dataset manipulation workflows primarily used by 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions. Additionally, many of the functions return the 'tidyverse' code used to obtain the result in an effort to bridge the gap between GUI and coding.
Author: Tom Elliott [aut, cre] (<https://orcid.org/0000-0002-7815-6318>),
Christoph Knopf [ctb],
Akshay Gupta [ctb],
Owen Jin [ctb] (Tidyverse variable/data manipulation functions),
Lushi Cai [ctb],
Yiwen He [ctb] (Dates/times and dataset manipulation),
Daniel Barnett [ctb] (Data validation)
Maintainer: Tom Elliott <tom.elliott@auckland.ac.nz>
Diff between iNZightTools versions 1.8.3 dated 2020-02-23 and 1.8.5 dated 2020-05-19
DESCRIPTION | 10 +++++----- MD5 | 25 ++++++++++++++----------- NAMESPACE | 3 +++ R/combine_cat_var.R | 21 +++++++++++++++------ R/extfromdt.R | 2 ++ R/helpers.R | 30 ++++++++++++++++++++++++++++++ R/import_data.R | 37 ++++++++++++++++++++++++++++++++++++- R/validate_dataset.R | 5 ++++- man/combineCatVars.Rd | 14 +++++++++++++- man/make_names.Rd |only tests/testthat/fbcomments.csv |only tests/testthat/test_catvars.R | 17 +++++++++++++++++ tests/testthat/test_helpers.R | 7 +++++++ tests/testthat/test_smart_read.R | 29 +++++++++++++++++++++++++++++ tests/testthat/test_unite.R |only 15 files changed, 175 insertions(+), 25 deletions(-)
Title: Accessing and Processing a 'Mega2' Genetic Database
Description: Uses as input genetic data that have been reformatted and
stored in a 'SQLite' database; this database is initially created
by the standalone 'mega2' C++ program (available freely from
<https://watson.hgen.pitt.edu/register/>). Loads and manipulates
data frames containing genotype, phenotype, and family
information from the input 'SQLite' database, and decompresses
needed subsets of the genotype data, on the fly, in a memory
efficient manner. We have also created several more functions
that illustrate how to use the data frames as well as perform
useful tasks: these permit one to run the 'pedgene' package to
carry out gene-based association tests on family data using
selected marker subsets, to run the 'SKAT' package to carry out
gene-based association tests using selected marker subsets, to
run the 'famSKATRC' package to carry out gene-based association
tests on families (optionally) and with rare or common variants
using selected marker subsets, to output the 'Mega2R' data as a
VCF file and related files (for phenotype and family data), and
to convert the data frames into CoreArray Genomic Data Structure
(GDS) format.
Author: Robert V. Baron [aut],
Daniel E. Weeks [aut, cre],
University of Pittsburgh [cph]
Maintainer: Daniel E. Weeks <weeks@pitt.edu>
Diff between Mega2R versions 1.0.6 dated 2020-05-15 and 1.0.7 dated 2020-05-19
DESCRIPTION | 8 +- MD5 | 20 +++--- NEWS.md | 4 + R/mega2famskatrc.R | 10 +-- R/mega2rcreate.R | 2 inst/doc/mega2rtutorial.html | 142 +++++++++++++++++++++---------------------- inst/exdata/seqsimm.db |binary inst/exdata/seqsimr.db.gz |binary inst/exdata/srdta.db.gz |binary man/DOfamSKATRC.Rd | 2 man/Mega2famSKATRC.Rd | 2 11 files changed, 97 insertions(+), 93 deletions(-)
Title: Shorten the Distance from Data Visualization Idea to Actual Plot
Description: Streamline the creation of common charts by taking care of a lot of
data preprocessing and plot customization for the user. Provides a
high-level interface to create plots using 'ggplot2'.
Author: Thomas Neitmann [aut, cre],
Julia Silge [ctb, cph],
David Robinson [ctb, cph]
Maintainer: Thomas Neitmann <th.neitmann@gmail.com>
Diff between ggcharts versions 0.2.0 dated 2020-05-13 and 0.2.1 dated 2020-05-19
DESCRIPTION | 8 MD5 | 24 - NEWS.md | 4 R/post_process_plot.R | 6 R/theme.R | 11 build/vignette.rds |binary inst/doc/customize.R | 2 inst/doc/customize.Rmd | 2 inst/doc/customize.html | 10 inst/doc/highlight.html | 12 inst/doc/themes.html | 28 +- tests/figs/bar-chart/horizontal-sorted-bar-chart-2-highlights-different-colors.svg | 128 +++++----- vignettes/customize.Rmd | 2 13 files changed, 121 insertions(+), 116 deletions(-)
Title: Spatial Absorbing Markov Chains
Description: An implementation of the framework described in "Toward a unified
framework for connectivity that disentangles movement and mortality in space
and time" by Fletcher et al. (2019) <doi:10.1111/ele.13333>.
Incorporates both resistance and absorption with spatial absorbing Markov
chains (SAMC) to provide several short-term and long-term predictions for
metrics related to connectivity in landscapes.
Author: Andrew Marx [aut, cre, cph] (<https://orcid.org/0000-0002-7456-1631>),
Robert Fletcher [ctb] (<https://orcid.org/0000-0003-1717-5707>),
Miguel Acevedo [ctb] (<https://orcid.org/0000-0002-8289-1497>),
Jorge Sefair [ctb] (<https://orcid.org/0000-0002-5887-8938>),
Chao Wang [ctb] (<https://orcid.org/0000-0003-2706-5122>)
Maintainer: Andrew Marx <andrewjmarx@ufl.edu>
Diff between samc versions 1.0.4 dated 2020-01-08 and 1.1.0 dated 2020-05-19
DESCRIPTION | 15 + MD5 | 92 ++++++------ NEWS.md | 13 + R/dispersal.R | 34 +++- R/distribution.R | 61 +++++--- R/internal-functions.R |only R/map.R | 26 +++ R/mortality.R | 63 +++++--- build/vignette.rds |binary inst/CITATION |only inst/doc/overview.R | 6 inst/doc/overview.html | 61 ++++---- inst/doc/performance.R | 10 - inst/doc/performance.html | 25 +-- inst/doc/troubleshooting.R | 6 inst/doc/troubleshooting.html | 113 +++++++------- inst/doc/tutorial-animations.R | 26 +-- inst/doc/tutorial-animations.Rmd | 18 +- inst/doc/tutorial-animations.html | 173 +++++++++++----------- inst/doc/tutorial-basic.R | 12 - inst/doc/tutorial-basic.html | 279 ++++++++++++++++++------------------- inst/doc/tutorial-ggplot.R | 8 - inst/doc/tutorial-ggplot.html | 223 ++++++++++++++--------------- inst/doc/tutorial-temporal.R | 55 ++++++- inst/doc/tutorial-temporal.Rmd | 63 +++++++- inst/doc/tutorial-temporal.html | 152 ++++++++++++++------ man/check.Rd | 1 man/dispersal.Rd | 44 ++--- man/distribution.Rd | 38 ++--- man/ex_abs_data.Rd | 4 man/ex_occ_data.Rd | 4 man/ex_res_data.Rd | 4 man/map.Rd | 8 - man/mortality.Rd | 45 +++-- man/samc.Rd | 15 - man/survival.Rd | 1 man/visitation.Rd | 7 src/RcppExports.cpp | 28 +-- src/dispersal.cpp | 25 ++- src/distribution.cpp | 61 +++++--- src/mortality.cpp | 63 +++++--- tests/testthat/helper-data.R | 1 tests/testthat/test-dispersal.R | 53 ++++++- tests/testthat/test-distribution.R | 67 ++++++++ tests/testthat/test-mortality.R | 90 +++++++++++ tests/testthat/test-survival.R | 4 vignettes/tutorial-animations.Rmd | 18 +- vignettes/tutorial-temporal.Rmd | 63 +++++++- 48 files changed, 1364 insertions(+), 814 deletions(-)
Title: Client for the 'Povcalnet' API
Description: Provides an interface to compute poverty and inequality indicators for more than 160 countries and regions from the World Bank's database of household surveys. It has the same functionality as the 'Povcalnet' website (<http://iresearch.worldbank.org/PovcalNet/>). 'Povcalnet' is a computational tool that allows users to estimate poverty rates for regions, sets of countries or individual countries, over time and at any poverty line. 'Povcalnet' is managed jointly by the data and research group in the World Bank's development economics division. It draws heavily upon a strong collaboration with the poverty and equity global practice, which is responsible for the gathering and harmonization of the underlying survey data.
Author: Tony Fujs [aut, cre],
Ratnadeep Mitra [aut],
Andres Castaneda [ctb],
Espen Prydz [ctb],
Christoph Lakner [ctb],
World Bank [cph]
Maintainer: Tony Fujs <tonyfujs@gmail.com>
Diff between povcalnetR versions 0.1.0 dated 2019-10-02 and 0.1.1 dated 2020-05-19
DESCRIPTION | 12 - MD5 | 44 +-- NEWS.md | 2 build/vignette.rds |binary inst/doc/advanced_examples.R | 21 + inst/doc/advanced_examples.Rmd | 15 - inst/doc/advanced_examples.html | 173 +++++++------- inst/doc/povcalnetR.R | 20 - inst/doc/povcalnetR.Rmd | 17 - inst/doc/povcalnetR.html | 417 +++++++++++++++++------------------ inst/doc/visualization_examples.R | 122 +++++++++- inst/doc/visualization_examples.Rmd | 123 +++++++++- inst/doc/visualization_examples.html | 342 ++++++++++++++++++---------- man/build_query_string.Rd | 12 - man/build_query_string_cl.Rd | 10 man/povcalnet.Rd | 14 - man/povcalnet_cl.Rd | 11 man/povcalnet_wb.Rd | 8 man/sample_input.Rd | 6 tests/testthat/test-format_data_cl.R | 1 vignettes/advanced_examples.Rmd | 15 - vignettes/povcalnetR.Rmd | 17 - vignettes/visualization_examples.Rmd | 123 +++++++++- 23 files changed, 1005 insertions(+), 520 deletions(-)
Title: R Interface to 'Keras'
Description: Interface to 'Keras' <https://keras.io>, a high-level neural
networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation,
supports both convolution based networks and recurrent networks (as well as
combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.
Author: Daniel Falbel [ctb, cph, cre],
JJ Allaire [aut, cph],
François Chollet [aut, cph],
RStudio [ctb, cph, fnd],
Google [ctb, cph, fnd],
Yuan Tang [ctb, cph] (<https://orcid.org/0000-0001-5243-233X>),
Wouter Van Der Bijl [ctb, cph],
Martin Studer [ctb, cph],
Sigrid Keydana [ctb]
Maintainer: Daniel Falbel <daniel@rstudio.com>
Diff between keras versions 2.2.5.0 dated 2019-10-08 and 2.3.0.0 dated 2020-05-19
keras-2.2.5.0/keras/inst/doc/about_keras_layers.R |only keras-2.2.5.0/keras/inst/doc/about_keras_layers.Rmd |only keras-2.2.5.0/keras/inst/doc/about_keras_layers.html |only keras-2.2.5.0/keras/inst/doc/about_keras_models.R |only keras-2.2.5.0/keras/inst/doc/about_keras_models.Rmd |only keras-2.2.5.0/keras/inst/doc/about_keras_models.html |only keras-2.2.5.0/keras/inst/doc/backend.R |only keras-2.2.5.0/keras/inst/doc/backend.Rmd |only keras-2.2.5.0/keras/inst/doc/backend.html |only keras-2.2.5.0/keras/inst/doc/custom_wrappers.R |only keras-2.2.5.0/keras/inst/doc/custom_wrappers.Rmd |only keras-2.2.5.0/keras/inst/doc/custom_wrappers.html |only keras-2.2.5.0/keras/inst/doc/eager_guide.R |only keras-2.2.5.0/keras/inst/doc/eager_guide.Rmd |only keras-2.2.5.0/keras/inst/doc/eager_guide.html |only keras-2.2.5.0/keras/inst/doc/getting_started.R |only keras-2.2.5.0/keras/inst/doc/getting_started.Rmd |only keras-2.2.5.0/keras/inst/doc/getting_started.html |only keras-2.2.5.0/keras/inst/doc/tutorial_basic_classification.R |only keras-2.2.5.0/keras/inst/doc/tutorial_basic_classification.Rmd |only keras-2.2.5.0/keras/inst/doc/tutorial_basic_classification.html |only keras-2.2.5.0/keras/inst/doc/tutorial_basic_regression.R |only keras-2.2.5.0/keras/inst/doc/tutorial_basic_regression.Rmd |only keras-2.2.5.0/keras/inst/doc/tutorial_basic_regression.html |only keras-2.2.5.0/keras/inst/doc/tutorial_basic_text_classification.R |only keras-2.2.5.0/keras/inst/doc/tutorial_basic_text_classification.Rmd |only keras-2.2.5.0/keras/inst/doc/tutorial_basic_text_classification.html |only keras-2.2.5.0/keras/inst/doc/tutorial_overfit_underfit.R |only keras-2.2.5.0/keras/inst/doc/tutorial_overfit_underfit.Rmd |only keras-2.2.5.0/keras/inst/doc/tutorial_overfit_underfit.html |only keras-2.2.5.0/keras/inst/doc/tutorial_save_and_restore.R |only keras-2.2.5.0/keras/inst/doc/tutorial_save_and_restore.Rmd |only 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Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language
development platform for in-memory data. It specifies a standardized
language-independent columnar memory format for flat and hierarchical data,
organized for efficient analytic operations on modern hardware. This
package provides an interface to the 'Arrow C++' library.
Author: Romain François [aut] (<https://orcid.org/0000-0002-2444-4226>),
Jeroen Ooms [aut],
Neal Richardson [aut, cre],
Javier Luraschi [ctb],
Jeffrey Wong [ctb],
Apache Arrow [aut, cph]
Maintainer: Neal Richardson <neal@ursalabs.org>
Diff between arrow versions 0.17.0 dated 2020-04-21 and 0.17.1 dated 2020-05-19
DESCRIPTION | 6 +++--- MD5 | 16 ++++++++-------- NEWS.md | 6 ++++++ R/dplyr.R | 13 +++++++++---- R/python.R | 16 ++++++++++++---- inst/doc/python.Rmd | 2 +- inst/doc/python.html | 2 +- tests/testthat/test-dplyr.R | 1 + vignettes/python.Rmd | 2 +- 9 files changed, 42 insertions(+), 22 deletions(-)
Title: Interface to 'TensorFlow Probability'
Description: Interface to 'TensorFlow Probability', a 'Python' library built on 'TensorFlow'
that makes it easy to combine probabilistic models and deep learning on modern hardware ('TPU', 'GPU').
'TensorFlow Probability' includes a wide selection of probability distributions and bijectors, probabilistic layers,
variational inference, Markov chain Monte Carlo, and optimizers such as Nelder-Mead, BFGS, and SGLD.
Author: Sigrid Keydana [aut, cre],
Daniel Falbel [ctb],
Kevin Kuo [ctb] (<https://orcid.org/0000-0001-7803-7901>),
RStudio [cph]
Maintainer: Sigrid Keydana <sigrid@rstudio.com>
Diff between tfprobability versions 0.9.0.0 dated 2020-01-27 and 0.10.0.0 dated 2020-05-19
DESCRIPTION | 12 MD5 | 582 +++++----- NAMESPACE | 2 NEWS.md | 16 R/bijectors.R | 49 R/distribution-layers.R | 8 R/distributions.R | 112 + R/mcmc-functions.R | 2 R/mcmc-kernels.R | 10 R/package.R | 2 R/sts.R | 2 README.md | 8 build/vignette.rds |binary inst/doc/dynamic_linear_models.R | 22 inst/doc/dynamic_linear_models.Rmd | 2 inst/doc/dynamic_linear_models.html | 459 ++++--- inst/doc/hamiltonian_monte_carlo.R | 22 inst/doc/hamiltonian_monte_carlo.Rmd | 2 inst/doc/hamiltonian_monte_carlo.html | 225 ++- inst/doc/layer_dense_variational.R | 16 inst/doc/layer_dense_variational.Rmd | 2 inst/doc/layer_dense_variational.html | 287 ++-- man/glm_families.Rd | 7 man/glm_fit.tensorflow.tensor.Rd | 25 man/glm_fit_one_step.tensorflow.tensor.Rd | 22 man/install_tfprobability.Rd | 11 man/layer_autoregressive.Rd | 52 man/layer_autoregressive_transform.Rd | 8 man/layer_categorical_mixture_of_one_hot_categorical.Rd | 34 man/layer_conv_1d_flipout.Rd | 52 man/layer_conv_1d_reparameterization.Rd | 52 man/layer_conv_2d_flipout.Rd | 52 man/layer_conv_2d_reparameterization.Rd | 52 man/layer_conv_3d_flipout.Rd | 52 man/layer_conv_3d_reparameterization.Rd | 52 man/layer_dense_flipout.Rd | 44 man/layer_dense_local_reparameterization.Rd | 45 man/layer_dense_reparameterization.Rd | 43 man/layer_dense_variational.Rd | 41 man/layer_distribution_lambda.Rd | 33 man/layer_independent_bernoulli.Rd | 34 man/layer_independent_logistic.Rd | 33 man/layer_independent_normal.Rd | 33 man/layer_independent_poisson.Rd | 33 man/layer_kl_divergence_add_loss.Rd | 37 man/layer_kl_divergence_regularizer.Rd | 37 man/layer_mixture_logistic.Rd | 34 man/layer_mixture_normal.Rd | 34 man/layer_mixture_same_family.Rd | 38 man/layer_multivariate_normal_tri_l.Rd | 33 man/layer_one_hot_categorical.Rd | 34 man/layer_variable.Rd | 35 man/layer_variational_gaussian_process.Rd | 18 man/mcmc_dual_averaging_step_size_adaptation.Rd | 66 - man/mcmc_effective_sample_size.Rd | 25 man/mcmc_hamiltonian_monte_carlo.Rd | 47 man/mcmc_metropolis_adjusted_langevin_algorithm.Rd | 46 man/mcmc_metropolis_hastings.Rd | 25 man/mcmc_no_u_turn_sampler.Rd | 39 man/mcmc_potential_scale_reduction.Rd | 30 man/mcmc_random_walk_metropolis.Rd | 39 man/mcmc_replica_exchange_mc.Rd | 41 man/mcmc_sample_annealed_importance_chain.Rd | 23 man/mcmc_sample_chain.Rd | 28 man/mcmc_sample_halton_sequence.Rd | 33 man/mcmc_simple_step_size_adaptation.Rd | 61 - man/mcmc_slice_sampler.Rd | 44 man/mcmc_transformed_transition_kernel.Rd | 29 man/mcmc_uncalibrated_hamiltonian_monte_carlo.Rd | 37 man/mcmc_uncalibrated_langevin.Rd | 41 man/mcmc_uncalibrated_random_walk.Rd | 33 man/params_size_categorical_mixture_of_one_hot_categorical.Rd | 6 man/reexports.Rd | 4 man/sts_additive_state_space_model.Rd | 63 - man/sts_autoregressive.Rd | 58 man/sts_autoregressive_state_space_model.Rd | 50 man/sts_build_factored_surrogate_posterior.Rd | 25 man/sts_build_factored_variational_loss.Rd | 42 man/sts_constrained_seasonal_state_space_model.Rd | 81 - man/sts_decompose_by_component.Rd | 21 man/sts_decompose_forecast_by_component.Rd | 22 man/sts_dynamic_linear_regression.Rd | 49 man/sts_dynamic_linear_regression_state_space_model.Rd | 52 man/sts_fit_with_hmc.Rd | 46 man/sts_forecast.Rd | 31 man/sts_linear_regression.Rd | 37 man/sts_local_level.Rd | 49 man/sts_local_level_state_space_model.Rd | 54 man/sts_local_linear_trend.Rd | 53 man/sts_local_linear_trend_state_space_model.Rd | 58 man/sts_one_step_predictive.Rd | 23 man/sts_sample_uniform_initial_state.Rd | 29 man/sts_seasonal.Rd | 60 - man/sts_seasonal_state_space_model.Rd | 63 - man/sts_semi_local_linear_trend.Rd | 61 - man/sts_semi_local_linear_trend_state_space_model.Rd | 60 - man/sts_smooth_seasonal.Rd | 55 man/sts_smooth_seasonal_state_space_model.Rd | 57 man/sts_sparse_linear_regression.Rd | 46 man/sts_sum.Rd | 49 man/tfb_absolute_value.Rd | 114 + man/tfb_affine.Rd | 136 +- man/tfb_affine_linear_operator.Rd | 118 +- man/tfb_affine_scalar.Rd | 112 + man/tfb_batch_normalization.Rd | 118 +- man/tfb_blockwise.Rd | 119 +- man/tfb_chain.Rd | 105 + man/tfb_cholesky_outer_product.Rd | 112 + man/tfb_cholesky_to_inv_cholesky.Rd | 110 + man/tfb_correlation_cholesky.Rd | 111 + man/tfb_cumsum.Rd | 104 + man/tfb_discrete_cosine_transform.Rd | 112 + man/tfb_exp.Rd | 104 + man/tfb_expm1.Rd | 104 + man/tfb_ffjord.Rd | 134 +- man/tfb_fill_scale_tri_l.Rd | 112 + man/tfb_fill_triangular.Rd | 115 + man/tfb_forward.Rd | 7 man/tfb_forward_log_det_jacobian.Rd | 15 man/tfb_gumbel.Rd | 111 + man/tfb_gumbel_cdf.Rd | 109 + man/tfb_identity.Rd | 104 + man/tfb_inline.Rd | 124 +- man/tfb_inverse.Rd | 7 man/tfb_inverse_log_det_jacobian.Rd | 14 man/tfb_invert.Rd | 104 + man/tfb_iterated_sigmoid_centered.Rd | 107 + man/tfb_kumaraswamy.Rd | 120 +- man/tfb_kumaraswamy_cdf.Rd | 120 +- man/tfb_lambert_w_tail.Rd |only man/tfb_masked_autoregressive_default_template.Rd | 124 +- man/tfb_masked_autoregressive_flow.Rd | 127 +- man/tfb_masked_dense.Rd | 118 +- man/tfb_matrix_inverse_tri_l.Rd | 109 + man/tfb_matvec_lu.Rd | 109 + man/tfb_normal_cdf.Rd | 108 + man/tfb_ordered.Rd | 109 + man/tfb_pad.Rd | 118 +- man/tfb_permute.Rd | 107 + man/tfb_power_transform.Rd | 109 + man/tfb_rational_quadratic_spline.Rd | 120 +- man/tfb_real_nvp.Rd | 121 +- man/tfb_real_nvp_default_template.Rd | 115 + man/tfb_reciprocal.Rd | 104 + man/tfb_reshape.Rd | 114 + man/tfb_scale.Rd | 107 + man/tfb_scale_matvec_diag.Rd | 117 +- man/tfb_scale_matvec_linear_operator.Rd | 114 + man/tfb_scale_matvec_lu.Rd | 114 + man/tfb_scale_matvec_tri_l.Rd | 117 +- man/tfb_scale_tri_l.Rd | 113 + man/tfb_shift.Rd | 107 + man/tfb_sigmoid.Rd | 104 + man/tfb_sinh_arcsinh.Rd | 121 +- man/tfb_softmax_centered.Rd | 106 + man/tfb_softplus.Rd | 110 + man/tfb_softsign.Rd | 107 + man/tfb_square.Rd | 105 + man/tfb_tanh.Rd | 107 + man/tfb_transform_diagonal.Rd | 111 + man/tfb_transpose.Rd | 112 + man/tfb_weibull.Rd | 117 +- man/tfb_weibull_cdf.Rd | 116 + man/tfd_autoregressive.Rd | 162 +- man/tfd_batch_reshape.Rd | 152 +- man/tfd_bernoulli.Rd | 153 +- man/tfd_beta.Rd | 158 +- man/tfd_beta_binomial.Rd |only man/tfd_binomial.Rd | 163 +- man/tfd_blockwise.Rd | 9 man/tfd_categorical.Rd | 160 +- man/tfd_cauchy.Rd | 152 +- man/tfd_cdf.Rd | 27 man/tfd_chi.Rd | 146 +- man/tfd_chi2.Rd | 146 +- man/tfd_cholesky_lkj.Rd | 152 +- man/tfd_covariance.Rd | 31 man/tfd_cross_entropy.Rd | 30 man/tfd_deterministic.Rd | 156 +- man/tfd_dirichlet.Rd | 164 +- man/tfd_dirichlet_multinomial.Rd | 173 +- man/tfd_doublesided_maxwell.Rd | 11 man/tfd_empirical.Rd | 165 +- man/tfd_entropy.Rd | 27 man/tfd_exp_relaxed_one_hot_categorical.Rd | 11 man/tfd_exponential.Rd | 151 +- man/tfd_finite_discrete.Rd | 15 man/tfd_gamma.Rd | 153 +- man/tfd_gamma_gamma.Rd | 161 +- man/tfd_gaussian_process.Rd | 169 +- man/tfd_gaussian_process_regression_model.Rd | 163 +- man/tfd_generalized_pareto.Rd | 12 man/tfd_geometric.Rd | 162 +- man/tfd_gumbel.Rd | 155 +- man/tfd_half_cauchy.Rd | 154 +- man/tfd_half_normal.Rd | 151 +- man/tfd_hidden_markov_model.Rd | 161 +- man/tfd_horseshoe.Rd | 151 +- man/tfd_independent.Rd | 160 +- man/tfd_inverse_gamma.Rd | 152 +- man/tfd_inverse_gaussian.Rd | 156 +- man/tfd_joint_distribution_named.Rd | 145 +- man/tfd_joint_distribution_sequential.Rd | 154 +- man/tfd_kl_divergence.Rd | 31 man/tfd_kumaraswamy.Rd | 158 +- man/tfd_laplace.Rd | 153 +- man/tfd_linear_gaussian_state_space_model.Rd | 183 +-- man/tfd_lkj.Rd | 155 +- man/tfd_log_cdf.Rd | 28 man/tfd_log_normal.Rd | 163 +- man/tfd_log_prob.Rd | 28 man/tfd_log_survival_function.Rd | 27 man/tfd_logistic.Rd | 152 +- man/tfd_logit_normal.Rd | 9 man/tfd_mean.Rd | 28 man/tfd_mixture.Rd | 154 +- man/tfd_mixture_same_family.Rd | 162 +- man/tfd_mode.Rd | 28 man/tfd_multinomial.Rd | 173 +- man/tfd_multivariate_normal_diag.Rd | 172 +- man/tfd_multivariate_normal_diag_plus_low_rank.Rd | 186 +-- man/tfd_multivariate_normal_full_covariance.Rd | 167 +- man/tfd_multivariate_normal_linear_operator.Rd | 163 +- man/tfd_multivariate_normal_tri_l.Rd | 169 +- man/tfd_multivariate_student_t_linear_operator.Rd | 164 +- man/tfd_negative_binomial.Rd | 168 +- man/tfd_normal.Rd | 152 +- man/tfd_one_hot_categorical.Rd | 154 +- man/tfd_pareto.Rd | 155 +- man/tfd_pert.Rd | 15 man/tfd_pixel_cnn.Rd | 181 +-- man/tfd_plackett_luce.Rd | 31 man/tfd_poisson.Rd | 154 +- man/tfd_poisson_log_normal_quadrature_compound.Rd | 161 +- man/tfd_prob.Rd | 28 man/tfd_probit_bernoulli.Rd | 153 +- man/tfd_quantile.Rd | 30 man/tfd_quantized.Rd | 170 +- man/tfd_relaxed_bernoulli.Rd | 154 +- man/tfd_relaxed_one_hot_categorical.Rd | 154 +- man/tfd_sample.Rd | 28 man/tfd_sample_distribution.Rd | 153 +- man/tfd_sinh_arcsinh.Rd | 168 +- man/tfd_stddev.Rd | 28 man/tfd_student_t.Rd | 155 +- man/tfd_student_t_process.Rd | 170 +- man/tfd_survival_function.Rd | 27 man/tfd_transformed_distribution.Rd | 171 +- man/tfd_triangular.Rd | 153 +- man/tfd_truncated_normal.Rd | 157 +- man/tfd_uniform.Rd | 152 +- man/tfd_variance.Rd | 27 man/tfd_variational_gaussian_process.Rd | 209 +-- man/tfd_vector_deterministic.Rd | 11 man/tfd_vector_diffeomixture.Rd | 188 +-- man/tfd_vector_exponential_diag.Rd | 170 +- man/tfd_vector_exponential_linear_operator.Rd | 167 +- man/tfd_vector_laplace_diag.Rd | 168 +- man/tfd_vector_laplace_linear_operator.Rd | 161 +- man/tfd_vector_sinh_arcsinh_diag.Rd | 178 +-- man/tfd_von_mises.Rd | 156 +- man/tfd_von_mises_fisher.Rd | 159 +- man/tfd_wishart.Rd | 157 +- man/tfd_wishart_linear_operator.Rd | 156 +- man/tfd_wishart_tri_l.Rd | 156 +- man/tfd_zipf.Rd | 158 +- man/tfp.Rd | 4 man/vi_amari_alpha.Rd | 46 man/vi_arithmetic_geometric.Rd | 42 man/vi_chi_square.Rd | 34 man/vi_csiszar_vimco.Rd | 51 man/vi_dual_csiszar_function.Rd | 36 man/vi_fit_surrogate_posterior.Rd | 53 man/vi_jeffreys.Rd | 34 man/vi_jensen_shannon.Rd | 41 man/vi_kl_forward.Rd | 42 man/vi_kl_reverse.Rd | 40 man/vi_log1p_abs.Rd | 34 man/vi_modified_gan.Rd | 40 man/vi_monte_carlo_variational_loss.Rd | 65 - man/vi_pearson.Rd | 34 man/vi_squared_hellinger.Rd | 34 man/vi_symmetrized_csiszar_function.Rd | 40 man/vi_t_power.Rd | 19 man/vi_total_variation.Rd | 9 man/vi_triangular.Rd | 7 tests/testthat/test-bijectors.R | 20 tests/testthat/test-distributions.R | 71 - tests/testthat/test-layers.R | 178 ++- tests/testthat/test-vi-functions.R | 4 vignettes/dynamic_linear_models.Rmd | 2 vignettes/hamiltonian_monte_carlo.Rmd | 2 vignettes/layer_dense_variational.Rmd | 2 293 files changed, 14404 insertions(+), 11091 deletions(-)
Title: Modelling Functions that Work with the Pipe
Description: Functions for modelling that help you seamlessly
integrate modelling into a pipeline of data manipulation and
visualisation.
Author: Hadley Wickham [aut, cre],
RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>
Diff between modelr versions 0.1.7 dated 2020-04-30 and 0.1.8 dated 2020-05-19
DESCRIPTION | 10 +++++----- MD5 | 12 ++++++------ NEWS.md | 5 +++++ R/predictions.R | 2 +- R/residuals.R | 2 +- R/typical.R | 2 +- tests/testthat/test-resampling.R | 20 ++++++++------------ 7 files changed, 27 insertions(+), 26 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-05-06 1.2-0.1
2017-10-23 1.2-0
2015-10-07 1.1-1
2015-09-27 1.1-0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-05-06 0.4-0.1
2017-10-14 0.4-0
2015-11-15 0.3-4
2015-11-12 0.3-3
Title: Taxonomic Information from Around the Web
Description: Interacts with a suite of web 'APIs' for taxonomic tasks,
such as getting database specific taxonomic identifiers, verifying
species names, getting taxonomic hierarchies, fetching downstream and
upstream taxonomic names, getting taxonomic synonyms, converting
scientific to common names and vice versa, and more.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>),
Eduard Szoecs [aut],
Zachary Foster [aut],
Zebulun Arendsee [aut],
Carl Boettiger [ctb],
Karthik Ram [ctb],
Ignasi Bartomeus [ctb],
John Baumgartner [ctb],
James O'Donnell [ctb],
Jari Oksanen [ctb],
Bastian Greshake Tzovaras [ctb],
Philippe Marchand [ctb],
Vinh Tran [ctb],
Maëlle Salmon [ctb],
Gaopeng Li [ctb],
Matthias Grenié [ctb],
rOpenSci [fnd] (https://ropensci.org/)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>
Diff between taxize versions 0.9.95 dated 2020-04-27 and 0.9.96 dated 2020-05-19
DESCRIPTION | 8 MD5 | 69 +-- NEWS.md | 17 R/class2tree.R | 2 R/classification.R | 43 +- R/get_natservid.R | 89 ++-- R/get_utils.R | 2 R/rankagg.R | 8 R/tax_agg.R | 23 - R/tax_rank.R | 1 R/worms_downstream.R | 17 inst/doc/infotable.html | 4 man/classification.Rd | 2 man/get_natservid.Rd | 65 +-- man/rankagg.Rd | 8 man/tax_agg.Rd | 23 - man/tax_rank.Rd | 1 tests/fixtures/bold_search.yml | 264 ++++++------- tests/fixtures/children_bold.yml | 59 +-- tests/fixtures/class2tree_classification_call.yml | 352 +++++++++--------- tests/fixtures/class2tree_classification_dup_call.yml | 94 ++-- tests/fixtures/class2tree_internal_fxns.yml |only tests/fixtures/comm2sci_warn_on_db_mismatch.yml |only tests/fixtures/downstream_bold.yml | 30 - tests/fixtures/get_boldid.yml | 52 +- tests/fixtures/get_boldid_ask_false.yml | 13 tests/fixtures/get_boldid_no_parent_name.yml | 15 tests/fixtures/get_natservid.yml | 198 +++------- tests/fixtures/get_natservid_ask_arg.yml | 30 - tests/fixtures/iucn_id_fail.yml |only tests/fixtures/tax_rank_get_star_input.yml | 26 - tests/testthat/Rplots.pdf |binary tests/testthat/helper-taxize.R | 1 tests/testthat/test-class2tree.R | 26 + tests/testthat/test-comm2sci.R | 4 tests/testthat/test-get_natservid.R | 18 tests/testthat/test-iucn_id.R | 5 37 files changed, 745 insertions(+), 824 deletions(-)
Title: Soil Hydraulic Properties
Description: Provides functions for (1) soil water retention (SWC) and unsaturated hydraulic conductivity (Ku) (van Genuchten-Mualem (vGM or vG) [1, 2], Peters-Durner-Iden (PDI) [3, 4, 5], Brooks and Corey (bc) [8]), (2) fitting of parameter for SWC and/or Ku using Shuffled Complex Evolution (SCE) optimisation and (3) calculation of soil hydraulic properties (Ku and soil water contents) based on the simplified evaporation method (SEM) [6, 7].
Main references:
[1] van Genuchten (1980) <doi:10.2136/sssaj1980.03615995004400050002x>,
[2] Mualem (1976) <doi:10.1029/WR012i003p00513>,
[3] Peters (2013) <doi:10.1002/wrcr.20548>,
[4] Iden and Durner (2013) <doi:10.1002/2014WR015937>,
[5] Peters (2014) <doi:10.1002/2014WR015937>,
[6] Wind G. P. (1966),
[7] Peters and Durner (2008) <doi:10.1016/j.jhydrol.2008.04.016> and
[8] Brooks and Corey (1964).
Author: Ullrich Dettmann [aut, cre],
Felix Andrews [ctb] (For the code copied from the hydromad::SCEoptim
function (Version: 0.9-15) which is not on r-cran
(https://github.com/floybix/hydromad). The SCEoptim function is
adapted, and substantially revised from Brecht Donckels MATLAB code
which is in turn adopted from Qingyun Duans MATLAB code),
Brecht Donckels [ctb] (For the Matlab code which was adapted and
reviesed in the hydromad::SCEoptim function.),
Qingyun Duan [ctb] (For the MATLAB code adapted from Brecht Donkels.)
Maintainer: Ullrich Dettmann <ullrich.dettmann@thuenen.de>
Diff between SoilHyP versions 0.1.3 dated 2019-06-05 and 0.1.4 dated 2020-05-19
DESCRIPTION | 13 +++++++------ MD5 | 37 +++++++++++++++++++++---------------- NAMESPACE | 9 +++++++++ R/SCEoptim.R | 9 +++++---- R/SEM.R | 2 +- R/dataSEM.R | 5 ++--- R/fitSHP.R | 2 +- R/plot_dataSEM.R |only R/plot_fitshp.R | 8 ++++---- R/read_kupf.R |only data/dataSEM.RData |binary data/dataSEM_old.RData |only man/Ku.Rd | 3 +-- man/SCEoptim.Rd | 4 ++-- man/SEM.Rd | 19 +++++++++++++++---- man/SWC.Rd | 9 +++++++-- man/Sat.Rd | 3 +-- man/dataSEM.Rd | 6 +++--- man/fitSHP.Rd | 26 +++++++++++++++++++------- man/plot.dataSEM.Rd |only man/predict.fitSHP.Rd | 3 +-- man/read.kupf.Rd |only 22 files changed, 99 insertions(+), 59 deletions(-)
Title: Helper Functions to Install and Maintain 'TeX Live', and Compile
'LaTeX' Documents
Description: Helper functions to install and maintain the 'LaTeX' distribution
named 'TinyTeX' (<https://yihui.org/tinytex/>), a lightweight, cross-platform,
portable, and easy-to-maintain version of 'TeX Live'. This package also
contains helper functions to compile 'LaTeX' documents, and install missing
'LaTeX' packages automatically.
Author: Yihui Xie [aut, cre, cph] (<https://orcid.org/0000-0003-0645-5666>),
RStudio, PBC [cph],
Fernando Cagua [ctb],
Ethan Heinzen [ctb]
Maintainer: Yihui Xie <xie@yihui.name>
Diff between tinytex versions 0.22 dated 2020-04-17 and 0.23 dated 2020-05-19
DESCRIPTION | 8 ++-- MD5 | 13 ++++--- R/install.R | 66 +++++++++++++++++++++----------------- R/latex.R | 21 ++++++++---- R/tlmgr.R | 23 ++++++++----- README.md | 2 - tests/test-cran/test-latex.R | 2 + tests/test-travis/test-packages.R |only 8 files changed, 82 insertions(+), 53 deletions(-)
Title: Rendering Parameterized SQL and Translation to Dialects
Description: A rendering tool for parameterized SQL that also translates into
different SQL dialects. These dialects include 'Microsoft Sql Server', 'Oracle',
'PostgreSql', 'Amazon RedShift', 'Apache Impala', 'IBM Netezza', 'Google BigQuery', 'Microsoft PDW', and 'SQLite'.
Author: Martijn Schuemie [aut, cre],
Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>
Diff between SqlRender versions 1.6.5 dated 2020-04-01 and 1.6.6 dated 2020-05-19
DESCRIPTION | 8 +- MD5 | 22 +++---- NEWS.md | 10 +++ README.md | 9 ++- inst/csv/replacementPatterns.csv | 5 + inst/doc/UsingSqlRender.pdf |binary man/loadRenderTranslateSql.Rd | 104 ++++++++++++++++++------------------- man/render.Rd | 98 +++++++++++++++++----------------- man/renderSqlFile.Rd | 70 ++++++++++++------------ man/translateSingleStatement.Rd | 64 +++++++++++----------- man/translateSqlFile.Rd | 72 ++++++++++++------------- tests/testthat/test-translateSql.R | 20 +++++++ 12 files changed, 262 insertions(+), 220 deletions(-)
Title: Render SVG Images into PDF, PNG, PostScript, or Bitmap Arrays
Description: Renders vector-based svg images into high-quality custom-size bitmap
arrays using 'librsvg2'. The resulting bitmap can be written to e.g. png, jpeg
or webp format. In addition, the package can convert images directly to various
formats such as pdf or postscript.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between rsvg versions 2.0 dated 2020-05-11 and 2.1 dated 2020-05-19
DESCRIPTION | 9 +++++---- MD5 | 15 ++++++++++----- NEWS | 4 ++++ R/rsvg.R | 51 +++++++++++++++++++++++++++++---------------------- build |only inst/doc |only man/rsvg.Rd | 20 +++++++++++--------- src/rsvg.c | 18 ++++++++++++++++-- vignettes |only 9 files changed, 75 insertions(+), 42 deletions(-)
Title: Handling Missing Values with Multivariate Data Analysis
Description: Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with and in PCA or MCA.
Author: Francois Husson, Julie Josse
Maintainer: Francois Husson <husson@agrocampus-ouest.fr>
Diff between missMDA versions 1.16 dated 2020-01-17 and 1.17 dated 2020-05-19
DESCRIPTION | 12 ++++----- MD5 | 12 ++++----- NAMESPACE | 1 R/plot.MIMCA.R | 67 +++++++++++++++++++++++++++++++---------------------- R/plot.MIPCA.R | 40 ++++++++++++++++++++++++------- build/vignette.rds |binary man/plot.MIPCA.Rd | 4 ++- 7 files changed, 87 insertions(+), 49 deletions(-)
Title: Sensory Data Analysis
Description: Statistical Methods to Analyse Sensory Data. SensoMineR: A package for sensory data analysis. S. Le and F. Husson (2008) <DOI:10.1111/j.1745-459X.2007.00137.x>.
Author: Francois Husson, Sebastien Le, Marine Cadoret
Maintainer: Francois Husson <husson@agrocampus-ouest.fr>
Diff between SensoMineR versions 1.25 dated 2020-03-10 and 1.26 dated 2020-05-19
DESCRIPTION | 12 +++--- MD5 | 34 +++++++++---------- NAMESPACE | 3 + R/construct.axes.R | 25 ++++++++++++-- R/panellipse.r | 80 +++++++++++++++++++++++++++++----------------- R/panellipse.session.R | 7 ++-- R/plotellipse.R | 21 ++++++++---- R/plotellipseinter.R | 30 ++++++++++++++++- R/plotpanelist.R | 38 ++++++++++++++++----- R/simulation.R | 1 data/hedochoc.rda |binary data/sensopanels.rda |binary man/construct.axes.Rd | 3 + man/panellipse.Rd | 6 ++- man/panellipse.session.Rd | 4 +- man/plotellipse.Rd | 3 + man/plotellipseinter.Rd | 4 +- man/plotpanelist.Rd | 4 +- 18 files changed, 189 insertions(+), 86 deletions(-)
Title: Separating Location and Dispersion in Ordinal Regression Models
Description: Estimate location-shift models or rating-scale models accounting for response styles (RSRS) for the regression analysis of ordinal responses.
Author: Moritz Berger
Maintainer: Moritz Berger <moritz.berger@imbie.uni-bonn.de>
Diff between ordDisp versions 1.0.1 dated 2016-10-04 and 2.1.1 dated 2020-05-19
DESCRIPTION | 12 +- MD5 | 23 ++--- NAMESPACE | 2 R/fitadjacent.R | 31 ++++--- R/fitcumulative.R | 31 ++++--- R/ordDisp-class.R | 2 R/ordDisp-method.R | 220 ++++++++++++++++++++++++++++++++------------------ R/ordDisp.R | 37 ++++++-- R/plotordDispsmooth.R |only R/specification.R | 83 +++++++++++++++++- man/ordDisp.Rd | 33 +++++-- man/plotordDisp.Rd | 26 +++-- man/reti.Rd | 1 13 files changed, 342 insertions(+), 159 deletions(-)
Title: Import, Plot and Analyze Bathymetric and Topographic Data
Description: Import xyz data from the NOAA (National Oceanic and Atmospheric Administration, <http://www.noaa.gov>), GEBCO (General Bathymetric Chart of the Oceans, <http://www.gebco.net>) and other sources, plot xyz data to prepare publication-ready figures, analyze xyz data to extract transects, get depth / altitude based on geographical coordinates, or calculate z-constrained least-cost paths.
Author: Eric Pante, Benoit Simon-Bouhet, and Jean-Olivier Irisson
Maintainer: Benoit Simon-Bouhet <besibo@gmail.com>
Diff between marmap versions 1.0.3 dated 2019-07-03 and 1.0.4 dated 2020-05-19
DESCRIPTION | 8 - MD5 | 28 +++--- R/getNOAA.bathy.R | 184 ++++++++++++++++++++++++--------------------- build/vignette.rds |binary data/aleutians.rda |binary data/celt.rda |binary data/florida.rda |binary data/hawaii.rda |binary data/hawaii.sites.rda |binary data/irregular.rda |binary data/metallo.rda |binary data/nw.atlantic.coast.rda |binary data/nw.atlantic.rda |binary man/getNOAA.bathy.Rd | 26 +++--- man/marmap.Rd | 4 15 files changed, 137 insertions(+), 113 deletions(-)
Title: 'caret' Applications for Spatial-Temporal Models
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. This package includes functions to improve spatial-temporal modelling tasks using 'caret'. It prepares data for Leave-Location-Out and Leave-Time-Out cross-validation which are target-oriented validation strategies for spatial-temporal models. To decrease overfitting and improve model performances, the package implements a forward feature selection that selects suitable predictor variables in view to their contribution to the target-oriented performance.
Author: Hanna Meyer [cre, aut],
Chris Reudenbach [ctb],
Marvin Ludwig [ctb],
Thomas Nauss [ctb],
Edzer Pebesma [ctb]
Maintainer: Hanna Meyer <hanna.meyer@uni-muenster.de>
Diff between CAST versions 0.4.0 dated 2020-04-06 and 0.4.1 dated 2020-05-19
DESCRIPTION | 15 ++-- MD5 | 24 ++++--- NEWS.md | 6 + R/CAST-package.R | 10 ++- R/aoa.R | 140 ++++++++++++++++++++++++++------------------- README.md | 2 build/vignette.rds |binary inst/doc/AOA-tutorial.R |only inst/doc/AOA-tutorial.Rmd |only inst/doc/AOA-tutorial.html |only inst/doc/CAST-intro.html | 8 +- inst/extdata/bioclim.grd |only inst/extdata/bioclim.gri |only man/CAST.Rd | 11 ++- man/aoa.Rd | 44 +++++++------- vignettes/AOA-tutorial.Rmd |only 16 files changed, 157 insertions(+), 103 deletions(-)
Title: Spatial Data Analysis
Description: Methods for spatial data analysis, especially raster data. Methods allow for low-level data manipulation as well as high-level global, local, zonal, and focal computation. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started. The package is similar to the 'raster' package; but it is simpler and faster.
Author: Robert J. Hijmans [cre, aut] (<https://orcid.org/0000-0001-5872-2872>),
Edzer Pebesma [ctb] (<https://orcid.org/0000-0001-8049-7069>),
Roger Bivand [ctb] (<https://orcid.org/0000-0003-2392-6140>),
Karl Forner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>
Diff between terra versions 0.6-8 dated 2020-05-17 and 0.6-9 dated 2020-05-19
DESCRIPTION | 12 +- MD5 | 72 ++++++++--------- R/RcppExports.R | 4 R/coerce.R | 4 R/crs.R | 25 +----- R/generics.R | 4 R/plot.R | 2 R/rast.R | 5 - R/show.R | 4 R/vect.R | 6 - R/zzz.R | 16 +++ configure | 6 - configure.ac | 4 man/coerce.Rd | 12 +- man/gdal_info.Rd | 4 man/project.Rd | 6 - man/writeVector.Rd | 2 src/RcppExports.cpp | 11 ++ src/RcppModule.cpp | 19 +++- src/aggregate.cpp | 11 +- src/crs.cpp | 101 ++++++++++++------------ src/crs.h | 4 src/distRaster.cpp | 6 - src/extract.cpp | 11 +- src/gdalio.cpp | 34 ++++---- src/polygonize.cpp | 17 +++- src/raster_coerce.cpp | 168 ---------------------------------------- src/raster_methods.cpp | 2 src/rasterize.cpp | 204 ++++++++++++++++++++++++++++++++++++++++++++++++- src/read_gdal.cpp | 7 + src/read_ogr.cpp | 79 ++++++++++++++---- src/spatBase.h | 23 ++++- src/spatRaster.cpp | 32 +++++-- src/spatRaster.h | 17 ++-- src/spatVector.h | 20 +++- src/vector_methods.cpp | 4 src/warp2.cpp | 103 ++++++++++++++++++++---- 37 files changed, 656 insertions(+), 405 deletions(-)
Title: Structural Equation Models
Description: Functions for fitting general linear structural
equation models (with observed and latent variables) using the RAM approach,
and for fitting structural equations in observed-variable models by two-stage least squares.
Author: John Fox [aut, cre],
Zhenghua Nie [aut],
Jarrett Byrnes [aut],
Michael Culbertson [ctb],
Saikat DebRoy [ctb],
Michael Friendly [ctb],
Benjamin Goodrich [ctb],
Richard H. Jones [ctb],
Adam Kramer [ctb],
Georges Monette [ctb],
R-Core [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>
Diff between sem versions 3.1-9 dated 2017-04-24 and 3.1-11 dated 2020-05-19
DESCRIPTION | 16 MD5 | 36 NEWS | 11 R/multigroup.R | 2108 ++++++++++++++++++++++++++-------------------------- R/optimizerNlm.R | 108 +- R/optimizerOptim.R | 122 +-- R/optimizerSem.R | 4 R/robust.R | 292 +++---- R/sem.R | 744 +++++++++--------- R/tsls.R | 374 ++++----- data/Bollen.rda |binary data/CNES.rda |binary data/HS.data.rda |only data/Tests.rda |binary man/HS.data.Rd |only man/bootSem.Rd | 6 man/miSem.Rd | 16 man/pathDiagram.Rd | 2 man/sem.Rd | 60 - man/specifyModel.Rd | 5 20 files changed, 1951 insertions(+), 1953 deletions(-)
Title: Relationship Inference for DNA Mixtures
Description: Makes relationship inference involving DNA mixtures with unknown profiles.
Author: Guro Dorum, Elias Hernandis, Navreet Kaur, Thore Egeland
Maintainer: Guro Dorum <guro.dorum@gmail.com>
Diff between relMix versions 1.3 dated 2019-02-19 and 1.3.1 dated 2020-05-19
relMix-1.3.1/relMix/DESCRIPTION | 12 relMix-1.3.1/relMix/MD5 | 106 relMix-1.3.1/relMix/NAMESPACE | 34 relMix-1.3.1/relMix/NEWS.md | 42 relMix-1.3.1/relMix/R/allGenos.R | 34 relMix-1.3.1/relMix/R/checkFrequenciesFile.R | 192 - relMix-1.3.1/relMix/R/checkMixtureFile.R | 150 relMix-1.3.1/relMix/R/checkPedigreeFile.R | 186 - relMix-1.3.1/relMix/R/checkReferenceFile.R | 198 - relMix-1.3.1/relMix/R/createDatamatrix.R | 216 - relMix-1.3.1/relMix/R/db.R | 40 relMix-1.3.1/relMix/R/db2.R | 30 relMix-1.3.1/relMix/R/generateMix.R | 66 relMix-1.3.1/relMix/R/globals.R | 14 relMix-1.3.1/relMix/R/mixLikDrop.R | 162 relMix-1.3.1/relMix/R/relMix.R | 352 - relMix-1.3.1/relMix/R/relMixGUI.R | 1803 ++++------ relMix-1.3.1/relMix/R/util.R | 110 relMix-1.3.1/relMix/build/vignette.rds |binary relMix-1.3.1/relMix/inst/doc/relMixVignette.R | 172 relMix-1.3.1/relMix/inst/doc/relMixVignette.Rmd | 410 +- relMix-1.3.1/relMix/inst/doc/relMixVignette.html | 1341 ++++--- relMix-1.3.1/relMix/inst/extdata/custom_pedigree_maternity_duo.R | 16 relMix-1.3.1/relMix/inst/extdata/custom_pedigree_unrelated_duo.R | 16 relMix-1.3.1/relMix/inst/extdata/frequencies22Markers.txt | 196 - relMix-1.3.1/relMix/inst/extdata/references_silent.txt | 4 relMix-1.3.1/relMix/man/allGenos.Rd | 40 relMix-1.3.1/relMix/man/checkFrequenciesFile.Rd | 96 relMix-1.3.1/relMix/man/checkMixtureFile.Rd | 76 relMix-1.3.1/relMix/man/checkPedigreeFile.Rd | 92 relMix-1.3.1/relMix/man/checkReferenceFile.Rd | 92 relMix-1.3.1/relMix/man/createDatamatrix.Rd | 76 relMix-1.3.1/relMix/man/db.Rd | 62 relMix-1.3.1/relMix/man/db2.Rd | 56 relMix-1.3.1/relMix/man/generateMix.Rd | 86 relMix-1.3.1/relMix/man/mixLikDrop.Rd | 104 relMix-1.3.1/relMix/man/relMix.Rd | 254 - relMix-1.3.1/relMix/man/relMixGUI.Rd | 48 relMix-1.3.1/relMix/vignettes/frequencies22Markers.txt | 196 - relMix-1.3.1/relMix/vignettes/references_silent.txt | 4 relMix-1.3.1/relMix/vignettes/relMixVignette.Rmd | 410 +- relMix-1.3/relMix/inst/extdata/testdata |only 42 files changed, 3866 insertions(+), 3728 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 0.5.2 dated 2020-05-17 and 0.5.2.1 dated 2020-05-19
DESCRIPTION | 8 ++++---- MD5 | 40 ++++++++++++++++++++-------------------- NAMESPACE | 1 + R/ANOVA.R | 15 ++++++--------- R/ARMA.R | 8 ++++---- R/ARMA_optim.R | 2 +- R/Binary_ANOVA.R | 4 ++-- R/Boost.R | 7 ++++--- R/Causal_matrix.R | 2 +- R/Dependence_matrix.R | 6 +++--- R/Internal_Functions.R | 25 +++++++++++++------------ R/LPM_UPM_VaR.R | 15 ++++++++++----- R/Multivariate_Regression.R | 2 +- R/NNS_meboot.R | 19 ++++++++++--------- R/Partial_Moments.R | 4 ++-- R/Partition_Map.R | 1 - R/Regression.R | 2 +- R/SD_Efficient_Set.R | 2 +- R/Stack.R | 10 +++++----- R/Uni_Causation.R | 4 ++-- R/gvload.R | 1 + 21 files changed, 92 insertions(+), 86 deletions(-)
Title: Help to Fit of a Parametric Distribution to Non-Censored or
Censored Data
Description: Extends the fitdistr() function (of the MASS package) with several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left censored, right censored and interval censored values, with several lower and upper bounds. In addition to maximum likelihood estimation (MLE), the package provides moment matching (MME), quantile matching (QME) and maximum goodness-of-fit estimation (MGE) methods (available only for non-censored data). Weighted versions of MLE, MME and QME are available. See e.g. Casella & Berger (2002). Statistical inference. Pacific Grove.
Author: Marie-Laure Delignette-Muller [aut],
Christophe Dutang [aut],
Regis Pouillot [ctb],
Jean-Baptiste Denis [ctb],
Aurelie Siberchicot [aut, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>
Diff between fitdistrplus versions 1.0-14 dated 2019-01-23 and 1.1-1 dated 2020-05-19
DESCRIPTION | 18 MD5 | 64 +- NAMESPACE | 173 +++--- R/bootdist.R | 481 ++++++++-------- R/cdfcompcens.R | 40 - R/fitdist.R | 24 R/msedist.R |only R/plotdistcens.R | 92 +-- R/ppcompcens.R | 18 R/qqcompcens.R | 22 R/util-Turnbull-intervals.R |only R/util-npmle.R |only R/util-npsurv-NNLS.R |only R/util-npsurv-hcnm.R |only R/util-npsurv-intercens.R |only R/util-npsurv-km.R |only R/util-npsurv-main.R |only README.md |only build/vignette.rds |binary inst/NEWS | 18 inst/doc/FAQ.R | 134 ++-- inst/doc/FAQ.Rmd | 22 inst/doc/FAQ.html | 1051 ++++++++++++++++++++++--------------- inst/doc/Optimalgo.R | 48 - inst/doc/Optimalgo.html | 556 +++++++++++++------ inst/doc/paper2JSS.R | 3 inst/doc/paper2JSS.Rnw | 15 inst/doc/paper2JSS.pdf |binary man/fitdist.Rd | 19 man/fitdistrplus.Rd | 2 man/graphcompcens.Rd | 22 man/mgedist.Rd | 5 man/msedist.Rd |only man/plotdistcens.Rd | 53 + tests/t-gen-max-spacing-estim.R |only tests/t-msedist.R |only tests/t-util-npmle.R |only tests/t-util-npsurv-mainfunction.R |only vignettes/FAQ.Rmd | 22 vignettes/paper2JSS.Rnw | 15 40 files changed, 1731 insertions(+), 1186 deletions(-)
Title: Bindings for 'Mapbox' Ear Cutting Triangulation Library
Description: Provides constrained triangulation of polygons. Ear cutting (or
ear clipping) applies constrained triangulation by successively 'cutting'
triangles from a polygon defined by path/s. Holes are supported by introducing
a bridge segment between polygon paths. This package wraps the 'header-only'
library 'earcut.hpp' <https://github.com/mapbox/earcut.hpp.git> which includes
a reference to the method used by Held, M. (2001) <doi:10.1007/s00453-001-0028-4>.
Author: Michael Sumner [aut, cre],
Andrew Smith [ctb] (provided C++ guidance),
Mapbox [cph] (author of header library earcut.hpp),
Mark Padgham [ctb] (help with CRAN issues),
David Cooley [ctb] (added header capability for linking from other
packages)
Maintainer: Michael Sumner <mdsumner@gmail.com>
Diff between decido versions 0.2.0 dated 2018-08-21 and 0.3.0 dated 2020-05-19
decido-0.2.0/decido/R/biseg.R |only decido-0.2.0/decido/inst/earcut_source/LICENSE |only decido-0.2.0/decido/src/earcut.h |only decido-0.2.0/decido/src/init.c |only decido-0.3.0/decido/DESCRIPTION | 20 +- decido-0.3.0/decido/MD5 | 51 ++++--- decido-0.3.0/decido/NEWS.md | 10 + decido-0.3.0/decido/R/RcppExports.R | 4 decido-0.3.0/decido/R/decido-package.R | 7 decido-0.3.0/decido/R/earcut.R | 3 decido-0.3.0/decido/README.md | 110 ++++++++++++--- decido-0.3.0/decido/build/vignette.rds |binary decido-0.3.0/decido/inst/WORDLIST |only decido-0.3.0/decido/inst/doc/decido.R | 64 +++++++- decido-0.3.0/decido/inst/doc/decido.Rmd | 121 +++++++++++++++-- decido-0.3.0/decido/inst/doc/decido.html | 109 +++++++++++++-- decido-0.3.0/decido/inst/earcut_source/earcut_source.R | 22 ++- decido-0.3.0/decido/inst/include |only decido-0.3.0/decido/man/decido-package.Rd | 1 decido-0.3.0/decido/man/earcut.Rd | 3 decido-0.3.0/decido/man/figures/README-tricks-1.png |only decido-0.3.0/decido/src/Makevars | 1 decido-0.3.0/decido/src/Makevars.win |only decido-0.3.0/decido/src/RcppExports.cpp | 22 +++ decido-0.3.0/decido/src/decido.cpp | 69 ++------- decido-0.3.0/decido/src/decido.h |only decido-0.3.0/decido/tests/spelling.R |only decido-0.3.0/decido/tests/testthat/Rplots.pdf |binary decido-0.3.0/decido/tests/testthat/test-api.R |only decido-0.3.0/decido/vignettes/decido.Rmd | 121 +++++++++++++++-- 30 files changed, 575 insertions(+), 163 deletions(-)
Title: Converts Human gene symbols to entrez IDs
Description: Queries multiple resources authors HGNC (2019) <https://www.genenames.org>, authors limma (2015) <doi:10.1093/nar/gkv007>
to find the correspondence between evolving nomenclature of human gene symbols, aliases, previous symbols or synonyms with
stable, curated gene entrezID from NCBI database. This allows fast, accurate and up-to-date correspondence
between human gene expression datasets from various date and platform (e.g: gene symbol: BRCA1 - ID: 672).
Author: Raphael Bonnet [aut, cre] (Université Côte d’Azur),
Jean-François Peyron [aut] (Inserm)
Maintainer: Raphael Bonnet <raphael.bonnet@univ-cotedazur.fr>
Diff between aliases2entrez versions 0.1.0 dated 2020-01-08 and 0.1.1 dated 2020-05-19
DESCRIPTION | 8 MD5 | 8 R/convert_symbols.R | 30 R/update_symbols.R | 13 inst/extdata/HGNC.txt |93450 +++++++++++++++++++++++++------------------------- 5 files changed, 47139 insertions(+), 46370 deletions(-)
More information about aliases2entrez at CRAN
Permanent link
Title: Weighted Smooth Backfitting for Structured Models
Description: Non- and semiparametric regression for generalized additive, partial linear, and varying coefficient models as well as their combinations via smoothed backfitting. Based on Roca-Pardinas J and Sperlich S (2010) <doi:10.1007/s11222-009-9130-2>; Mammen E, Linton O and Nielsen J (1999) <doi:10.1214/aos/1017939138>; Lee YK, Mammen E, Park BU (2012) <doi:10.1214/12-AOS1026>.
Author: Javier Roca-Pardinas [aut, cre],
Maria Xose Rodriguez-Alvarez [aut],
Stefan Sperlich [aut],
Alan Miller (FORTRAN code lsq.f90: weighted least-squares module) [ctb]
Maintainer: Javier Roca-Pardinas <roca@uvigo.es>
Diff between wsbackfit versions 1.0-2 dated 2020-04-02 and 1.0-3 dated 2020-05-19
DESCRIPTION | 8 ++--- MD5 | 21 +++++++------ NAMESPACE | 4 +- R/calculate.CV.R | 2 - R/dev.R | 65 +++++++++++++++++++++++++++++++++++++++-- R/predict.sback.R |only R/sback.R | 27 +++-------------- R/sback.fit.R | 21 ++++++++----- build/partial.rdb |binary man/predict.sback.Rd |only man/residuals.sback.Rd |only man/sback.Rd | 74 +++++++++++++++++++++++++---------------------- man/wsbackfit-package.Rd | 4 +- 13 files changed, 143 insertions(+), 83 deletions(-)
Title: Time Delay Estimation for Stochastic Time Series of
Gravitationally Lensed Quasars
Description: We provide a toolbox to estimate the time delay between the brightness time series of gravitationally lensed quasar images via Bayesian and profile likelihood approaches. The model is based on a state-space representation for irregularly observed time series data generated from a latent continuous-time Ornstein-Uhlenbeck process. Our Bayesian method adopts scientifically motivated hyper-prior distributions and a Metropolis-Hastings within Gibbs sampler, producing posterior samples of the model parameters that include the time delay. A profile likelihood of the time delay is a simple approximation to the marginal posterior distribution of the time delay. Both Bayesian and profile likelihood approaches complement each other, producing almost identical results; the Bayesian way is more principled but the profile likelihood is easier to implement. A new functionality is added in version 1.0.9 for estimating the time delay between doubly-lensed light curves observed in two bands. See also Tak et al. (2017) <doi:10.1214/17-AOAS1027>, Tak et al. (2018) <doi:10.1080/10618600.2017.1415911>, Hu and Tak (2020) <arXiv:2005.08049>.
Author: Hyungsuk Tak, Kaisey Mandel, David A. van Dyk, Vinay L. Kashyap, Xiao-Li Meng, Aneta Siemiginowska, and Zhirui Hu
Maintainer: Hyungsuk Tak <hyungsuk.tak@gmail.com>
Diff between timedelay versions 1.0.10 dated 2020-05-05 and 1.0.11 dated 2020-05-19
DESCRIPTION | 10 +++++----- MD5 | 8 ++++---- man/bayesian.Rd | 1 + man/bayesian.multiband.Rd | 1 + man/timedelay-package.Rd | 5 +++-- 5 files changed, 14 insertions(+), 11 deletions(-)
Title: Univariate and Multivariate Damped Random Walk Processes
Description: We provide a toolbox to fit and simulate a univariate or multivariate damped random walk process that is also known as an Ornstein-Uhlenbeck process or a continuous-time autoregressive model of the first order, i.e., CAR(1) or CARMA(1, 0). This process is suitable for analyzing univariate or multivariate time series data with irregularly-spaced observation times and heteroscedastic measurement errors. When it comes to the multivariate case, the number of data points (measurements/observations) available at each observation time does not need to be the same, and the length of each time series can vary. The number of time series data sets that can be modeled simultaneously is limited to ten in this version of the package. We use Kalman-filtering to evaluate the resulting likelihood function, which leads to a scalable and efficient computation in finding maximum likelihood estimates of the model parameters or in drawing their posterior samples. Please pay attention to loading the data if this package is used for astronomical data analyses; see the details in the manual. Also see Hu and Tak (2020) <arXiv:2005.08049>.
Author: Zhirui Hu and Hyungsuk Tak
Maintainer: Hyungsuk Tak <hyungsuk.tak@gmail.com>
Diff between Rdrw versions 1.0.0 dated 2020-05-08 and 1.0.1 dated 2020-05-19
DESCRIPTION | 10 +++++----- MD5 | 8 ++++---- man/Rdrw-package.Rd | 7 +++++-- man/drw.Rd | 3 +++ man/drw.sim.Rd | 3 +++ 5 files changed, 20 insertions(+), 11 deletions(-)
Title: Cancer Registry Data Analysis and Visualisation
Description: Tools for basic and advance cancer statistics and graphics.
Groups individual data, merges registry data and population data, calculates age-specific rate, age-standardized rate, cumulative risk, estimated annual percentage rate with standards error. Creates graphics across variable and
time, such as age-specific trends, bar chart and period-cohort trends.
Author: Mathieu Laversanne [aut, cre],
Jerome Vignat [aut],
Cancer Surveillance Unit [cph]
Maintainer: Mathieu Laversanne <laversannem@iarc.fr>
Diff between Rcan versions 1.3.81 dated 2020-03-25 and 1.3.82 dated 2020-05-19
DESCRIPTION | 10 +++++----- MD5 | 8 ++++---- R/csu_trendCohortPeriod.R | 2 +- R/helper.r | 8 ++++---- build/partial.rdb |binary 5 files changed, 14 insertions(+), 14 deletions(-)
Title: Linguistic Fuzzy Logic
Description: Various algorithms related to linguistic fuzzy logic: mining for linguistic fuzzy association
rules, composition of fuzzy relations, performing perception-based logical deduction (PbLD),
and forecasting time-series using fuzzy rule-based ensemble (FRBE).
Author: Michal Burda [aut, cre] (<https://orcid.org/0000-0002-4182-4407>)
Maintainer: Michal Burda <michal.burda@osu.cz>
Diff between lfl versions 2.0 dated 2020-02-11 and 2.0.1 dated 2020-05-19
DESCRIPTION | 20 +++++++++------ MD5 | 55 +++++++++++++++++++++--------------------- NEWS.md |only R/algebra.R | 2 - R/compose.R | 37 +++++++++++++++++++++++----- R/ctx.R | 2 - R/fcut.R | 4 +-- R/fire.R | 2 - R/fsets.R | 2 - R/is.frbe.R | 2 - R/lcut.R | 4 +-- R/lcutDeprecated.R | 2 - R/lfl-package.R | 6 +++- R/minmax.R | 2 - man/algebra.Rd | 2 - man/compose.Rd | 19 +++++++++++++- man/ctx.Rd | 2 - man/defaultHedgeParams.Rd | 4 ++- man/fcut.Rd | 4 +-- man/fire.Rd | 2 - man/horizon.Rd | 4 +-- man/is.frbe.Rd | 2 - man/is.fsets.Rd | 2 - man/lcut.Rd | 12 ++++----- man/lcut3.Rd | 2 - man/lfl.Rd | 6 +++- man/lingexpr.Rd | 8 +++--- man/minmax.Rd | 2 - tests/testthat/test-compose.R | 49 +++++++++++++++++++++++++++++++++---- 29 files changed, 179 insertions(+), 81 deletions(-)
Title: Advanced and Fast Data Transformation
Description: A C/C++ based package for advanced data transformation in R that is
extremely fast, flexible and parsimonious to code with and programmer
friendly. It is well integrated with 'dplyr', 'plm' and 'data.table'.
--- Key Features: ---
(1) Advanced data programming: A full set of fast statistical functions
supporting grouped and weighted computations on vectors, matrices and
data frames. Fast (ordered) and programmable grouping, factor
generation, manipulation of data frames and data object conversions.
(2) Advanced aggregation: Fast and easy multi-data-type, multi-function,
weighted, parallelized and fully customized data aggregation.
(3) Advanced transformations: Fast (grouped, weighted) replacing and
sweeping out of statistics, scaling / standardizing, centering (i.e.
between and within transformations), higher-dimensional centering
(i.e. multiple fixed effects transformations), linear
prediction and partialling-out.
(4) Advanced time-computations: Fast (sequences of) lags / leads, and
(lagged / leaded, iterated, quasi-, log-) differences and growth
rates on (unordered) time-series and panel data. Multivariate auto,
partial and cross-correlation functions for panel data.
Panel data to (ts-)array conversions.
(5) List processing: (Recursive) list search / identification, extraction /
subsetting, data-apply, and generalized row-binding / unlisting in 2D.
(6) Advanced data exploration: Fast (grouped, weighted, panel-decomposed)
summary statistics for complex multilevel / panel data.
Author: Sebastian Krantz [aut, cre],
Matt Dowle [ctb],
Arun Srinivasan [ctb],
Simen Gaure [ctb],
Dirk Eddelbuettel [ctb],
R Core Team and contributors worldwide [ctb],
Martyn Plummer [cph],
1999-2016 The R Core Team [cph]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>
Diff between collapse versions 1.1.0 dated 2020-04-01 and 1.2.0 dated 2020-05-19
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Title: Breeding Program Simulations
Description: The successor to the 'AlphaSim' software for breeding program
simulation [Faux et al. (2016) <doi:10.3835/plantgenome2016.02.0013>].
Used for stochastic simulations of breeding programs to the level of DNA
sequence for every individual. Contained is a wide range of functions for
modeling common tasks in a breeding program, such as selection and crossing.
These functions allow for constructing simulations of highly complex plant and
animal breeding programs via scripting in the R software environment. Such
simulations can be used to evaluate overall breeding program performance and
conduct research into breeding program design, such as implementation of
genomic selection. Included is the 'Markovian Coalescent Simulator' ('MaCS')
for fast simulation of biallelic sequences according to a population
demographic history [Chen et al. (2009) <doi:10.1101/gr.083634.108>].
Author: Chris Gaynor [aut, cre] (<https://orcid.org/0000-0003-0558-6656>),
Gregor Gorjanc [aut] (<https://orcid.org/0000-0001-8008-2787>),
David Wilson [aut],
John Hickey [aut] (<https://orcid.org/0000-0001-5675-3974>),
Daniel Money [ctb] (<https://orcid.org/0000-0001-5151-3648>)
Maintainer: Chris Gaynor <gaynor.robert@hotmail.com>
Diff between AlphaSimR versions 0.12.1 dated 2020-03-30 and 0.12.2 dated 2020-05-19
DESCRIPTION | 28 ++++++++++++++-------------- MD5 | 26 +++++++++++++------------- NAMESPACE | 1 + NEWS | 10 +++++++++- R/AlphaSimR.R | 2 +- R/Class-Pop.R | 16 ++++++++++------ R/Class-SimParam.R | 36 +++++++++++++++++++----------------- R/misc.R | 19 +++++++++++++++++++ R/phenotypes.R | 14 +++++++++++--- build/vignette.rds |binary inst/doc/intro.html | 6 +++--- inst/doc/traits.pdf |binary man/SimParam.Rd | 30 ++++++++++++++++++++++++++++++ man/setPheno.Rd | 5 +++-- 14 files changed, 133 insertions(+), 60 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-07-11 0.7.1
2014-01-25 0.7
2014-01-09 0.6
2012-06-12 0.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-06-27 0.1.1
2017-05-11 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-07-01 0.99.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-02-01 0.2.0
2015-07-23 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-10-20 1.1
2016-05-23 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-08-21 1.2
2016-12-14 1.1
2016-08-30 1.0
2015-11-17 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-11-15 0.3.0
2018-05-06 0.2.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-03-01 0.4
2012-12-13 0.2
2012-11-08 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-07-17 0.3.3
2018-07-09 0.3.1
2018-06-28 0.3.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-03-03 1.2.2
2016-02-02 1.2.1
2014-03-19 1.1.1
Title: Connect to the 'jamovi' Statistical Spreadsheet
Description: Methods to access data sets from the 'jamovi' statistical
spreadsheet (see <https://www.jamovi.org> for more information) from R.
Author: Jonathon Love [aut, cre]
Maintainer: Jonathon Love <jon@thon.cc>
Diff between jmvconnect versions 1.2.8 dated 2020-03-11 and 1.2.18 dated 2020-05-19
DESCRIPTION | 10 +++++----- MD5 | 4 ++-- src/readdf.cpp | 8 +++++++- 3 files changed, 14 insertions(+), 8 deletions(-)
Title: Sampling from Truncated Multivariate Normal and t Distributions
Description: Efficient sampling of truncated multivariate (scale) mixtures of normals under linear inequality constraints is nontrivial due to the analytically intractable normalizing constant. Meanwhile, traditional methods may subject to numerical issues, especially when the dimension is high and dependence is strong. Algorithms proposed by Li and Ghosh (2015) <doi: 10.1080/15598608.2014.996690> are adopted for overcoming difficulties in simulating truncated distributions. Efficient rejection sampling for simulating truncated univariate normal distribution is included in the package, which shows superiority in terms of acceptance rate and numerical stability compared to existing methods and R packages. An efficient function for sampling from truncated multivariate normal distribution subject to convex polytope restriction regions based on Gibbs sampler for conditional truncated univariate distribution is provided. By extending the sampling method, a function for sampling truncated multivariate Student's t distribution is also developed. Moreover, the proposed method and computation remain valid for high dimensional and strong dependence scenarios. Empirical results in Li and Ghosh (2015) <doi: 10.1080/15598608.2014.996690> illustrated the superior performance in terms of various criteria (e.g. mixing and integrated auto-correlation time).
Author: Ting Fung (Ralph) Ma [cre, aut],
Sujit K. Ghosh [aut],
Yifang Li [aut]
Maintainer: Ting Fung (Ralph) Ma <tingfung.ma@wisc.edu>
Diff between tmvmixnorm versions 1.0.2 dated 2018-07-19 and 1.1.0 dated 2020-05-19
DESCRIPTION | 10 +-- MD5 | 38 +++++++------- NAMESPACE | 2 R/rtmvn.R | 32 +++++++---- R/rtmvt.R | 29 +++++++--- man/dtuvn.Rd | 58 ++++++++++----------- man/exp_acc_opt.Rd | 42 +++++++-------- man/exp_rej.Rd | 56 ++++++++++---------- man/halfnorm_acc.Rd | 40 +++++++------- man/halfnorm_rej.Rd | 52 +++++++++---------- man/imp.Rd | 54 ++++++++++---------- man/imp_acc.Rd | 44 ++++++++-------- man/norm_acc.Rd | 40 +++++++------- man/norm_rej.Rd | 50 +++++++++--------- man/ptuvn.Rd | 58 ++++++++++----------- man/rtmvn.Rd | 140 +++++++++++++++++++++++++++------------------------- man/rtmvt.Rd | 105 +++++++++++++++++++-------------------- man/rtuvn.Rd | 68 ++++++++++++------------- man/unif_acc.Rd | 40 +++++++------- man/unif_rej.Rd | 50 +++++++++--------- 20 files changed, 517 insertions(+), 491 deletions(-)
Title: Simulating Forest Growth using the 3-PG Model
Description: Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-PG) model written in Fortran. The r3PG serves as a flexible and easy-to-use interface for the 3-PGpjs (monospecific, evenaged and evergreen forests) described in Landsberg & Waring (1997) <doi:10.1016/S0378-1127(97)00026-1> and the 3-PGmix (deciduous, uneven-aged or mixed-species forests) described in Forrester & Tang (2016) <doi:10.1016/j.ecolmodel.2015.07.010>.
Author: Volodymyr Trotsiuk [aut, cre] (<https://orcid.org/0000-0002-8363-656X>),
Florian Hartig [aut] (<https://orcid.org/0000-0002-6255-9059>),
David Forrester [aut]
Maintainer: Volodymyr Trotsiuk <vtrotsiuk@gmail.com>
Diff between r3PG versions 0.1.0 dated 2020-05-11 and 0.1.1 dated 2020-05-19
DESCRIPTION | 6 +++--- MD5 | 24 ++++++++++++------------ NEWS | 16 +++++++++++++++- R/data.R | 2 +- R/prepare_climate.R | 2 +- R/prepare_input.R | 2 +- R/run_3PG.R | 2 +- build/partial.rdb |binary man/d_climate.Rd | 2 +- man/prepare_climate.Rd | 2 +- man/prepare_input.Rd | 2 +- man/run_3PG.Rd | 2 +- src/Makevars | 7 +++---- 13 files changed, 41 insertions(+), 28 deletions(-)
Title: A Inclusive, Unifying API for Progress Updates
Description: A minimal, unifying API for scripts and packages to report progress updates from anywhere including when using parallel processing. The package is designed such that the developer can to focus on what progress should be reported on without having to worry about how to present it. The end user has full control of how, where, and when to render these progress updates, e.g. in the terminal using utils::txtProgressBar() or progress::progress_bar(), in a graphical user interface using utils::winProgressBar(), tcltk::tkProgressBar() or shiny::withProgress(), via the speakers using beep::beepr(), or on a file system via the size of a file. Anyone can add additional, customized, progression handlers. The 'progressr' package uses R's condition framework for signaling progress updated. Because of this, progress can be reported from almost anywhere in R, e.g. from classical for and while loops, from map-reduce APIs like the lapply() family of functions, 'purrr', 'plyr', and 'foreach'. It will also work with parallel processing via the 'future' framework, e.g. future.apply::future_lapply(), furrr::future_map(), and 'foreach' with 'doFuture'. The package is compatible with Shiny applications.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Diff between progressr versions 0.5.0 dated 2020-04-17 and 0.6.0 dated 2020-05-19
DESCRIPTION | 6 - MD5 | 58 +++++----- NEWS | 51 +++++++++ R/handler_ascii_alert.R | 4 R/handler_beepr.R | 2 R/handler_debug.R | 6 - R/handler_filesize.R | 2 R/handler_newline.R | 4 R/handler_notifier.R | 2 R/handler_pbmcapply.R | 30 ++++- R/handler_progress.R | 60 ++++++++--- R/handler_shiny.R | 2 R/handler_tkprogressbar.R | 8 + R/handler_txtprogressbar.R | 80 ++++++++++---- R/handler_void.R | 4 R/handler_winprogressbar.R | 8 + R/handlers.R | 2 R/make_progression_handler.R | 119 +++++++++++++++++---- R/options.R | 69 +++++++++--- R/progression.R | 1 R/with_progress.R | 187 ++++++++++++++++++++++++++-------- inst/WORDLIST | 3 inst/doc/progressr-intro.html | 163 ++++++++++++++++++++++++++--- inst/doc/progressr-intro.md | 218 +++++++++++++++++++++++++++++++++++++--- man/handler_txtprogressbar.Rd | 3 man/handler_void.Rd | 7 + man/make_progression_handler.Rd | 18 ++- man/progressr.options.Rd | 68 +++++++++--- man/with_progress.Rd | 31 ++++- vignettes/progressr-intro.md | 218 +++++++++++++++++++++++++++++++++++++--- 30 files changed, 1187 insertions(+), 247 deletions(-)
Title: Enterprise Streamlined 'Shiny' Application Framework
Description: An enterprise-targeted scalable and UI-standardized 'shiny' framework
including a variety of developer convenience functions with the goal of both
streamlining robust application development while assisting with creating a
consistent user experience regardless of application or developer.
Author: Constance Brett [aut, cre],
Isaac Neuhaus [aut] (canvasXpress JavaScript Library Maintainer),
Ger Inberg [ctb],
Bristol-Meyers Squibb (BMS) [cph]
Maintainer: Constance Brett <connie@aggregate-genius.com>
Diff between periscope versions 0.4.9-1 dated 2020-04-01 and 0.4.10 dated 2020-05-19
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- NEWS.md | 2 ++ build/vignette.rds |binary inst/doc/downloadFile-module.html | 4 ++-- inst/doc/downloadablePlot-module.html | 4 ++-- inst/doc/downloadableTable-module.html | 4 ++-- inst/doc/new-application.html | 4 ++-- 8 files changed, 21 insertions(+), 19 deletions(-)
Title: Indices of Effect Size and Standardized Parameters
Description: Provide utilities to work with indices of effect size and standardized parameters for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), allowing computation and conversion of indices such as Cohen's d, r, odds, etc.
Author: Mattan S. Ben-Shachar [aut, cre]
(<https://orcid.org/0000-0002-4287-4801>),
Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>),
Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>),
Ken Kelley [ctb],
David Stanley [ctb]
Maintainer: Mattan S. Ben-Shachar <matanshm@post.bgu.ac.il>
Diff between effectsize versions 0.3.0 dated 2020-04-11 and 0.3.1 dated 2020-05-19
DESCRIPTION | 10 MD5 | 68 +++-- NAMESPACE | 16 - NEWS.md | 16 + R/cohens_d.R | 4 R/convert_chisq.R | 17 - R/convert_tF_to_pve.R | 12 R/convert_tFz_to_d.R | 16 - R/convert_tFz_to_r.R | 19 - R/equivalence_test.R |only R/eta_squared.R | 216 +++++++++++------ R/interpret.R | 21 - R/interpret_d.R | 2 R/interpret_r.R | 2 R/is_effectsize_name.R |only R/plot.R |only R/print.effectsize_table.R | 13 - R/print.equivalence_test_effectsize.R |only R/print.rules.R |only R/standardize_parameters.R | 64 +++-- R/utils_ncp_ci.R | 8 README.md | 63 ++--- build/partial.rdb |binary inst/doc/from_test_statistics.html | 36 +- inst/doc/standardize_parameters.R | 44 --- inst/doc/standardize_parameters.Rmd | 146 ++--------- inst/doc/standardize_parameters.html | 336 ++++++--------------------- man/F_to_eta2.Rd | 8 man/chisq_to_phi.Rd | 19 - man/cohens_d.Rd | 2 man/equivalence_test.effectsize_table.Rd |only man/es_info.Rd |only man/eta_squared.Rd | 5 man/is_effectsize_name.Rd |only man/reexports.Rd |only man/standardize_parameters.Rd | 237 +++++++++---------- man/t_to_r.Rd | 22 - tests/testthat/test-equivalence_test.R |only tests/testthat/test-standardize_parameters.R | 78 ++++++ vignettes/standardize_parameters.Rmd | 146 ++--------- 40 files changed, 716 insertions(+), 930 deletions(-)
Title: Read and Write CSV Files with Selected Conventions
Description: Reads and writes CSV with selected conventions.
Uses the same generic function for reading and writing to promote consistent formats.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>
Diff between csv versions 0.5.5 dated 2020-02-29 and 0.5.8 dated 2020-05-19
DESCRIPTION | 8 MD5 | 20 +- NAMESPACE | 20 +- R/csv.R | 448 ++++++++++++++++++++++++++------------------- man/as.csv.Rd | 78 +++---- man/as.csv.character.Rd | 92 ++++----- man/as.csv.data.frame.Rd | 102 +++++----- man/autoquote.Rd | 48 ++-- man/autoquote.character.Rd | 48 ++-- man/autoquote.default.Rd | 48 ++-- man/autoquote.factor.Rd | 48 ++-- 11 files changed, 517 insertions(+), 443 deletions(-)
Title: Bayesian Model Selection Approach for Parsimonious Gaussian
Mixture Models
Description: Model-based clustering using Bayesian parsimonious Gaussian mixture models.
MCMC (Markov chain Monte Carlo) are used for parameter estimation. The RJMCMC (Reversible-jump Markov chain Monte Carlo) is used for model selection.
GREEN et al. (1995) <doi:10.1093/biomet/82.4.711>.
Author: Xiang Lu <Xiang_Lu at urmc.rochester.edu>,
Yaoxiang Li <yl814 at georgetown.edu>,
Tanzy Love <tanzy_love at urmc.rochester.edu>
Maintainer: Yaoxiang Li <yl814@georgetown.edu>
Diff between bpgmm versions 1.0.5 dated 2019-08-02 and 1.0.7 dated 2020-05-19
bpgmm-1.0.5/bpgmm/R/ThetaYListClass.R |only bpgmm-1.0.5/bpgmm/R/labelswitch.R |only bpgmm-1.0.5/bpgmm/man/parsimoniousGaussianMixtureModel.Rd |only bpgmm-1.0.5/bpgmm/src/calculateCxy.h |only bpgmm-1.0.5/bpgmm/src/updatePostZ.h |only bpgmm-1.0.5/bpgmm/src/update_Hyperparameter.h |only bpgmm-1.0.5/bpgmm/tests |only bpgmm-1.0.7/bpgmm/DESCRIPTION | 11 bpgmm-1.0.7/bpgmm/MD5 | 98 - bpgmm-1.0.7/bpgmm/NAMESPACE | 16 bpgmm-1.0.7/bpgmm/R/PGMMmain.R | 339 +--- bpgmm-1.0.7/bpgmm/R/bpgmm-package.R | 2 bpgmm-1.0.7/bpgmm/R/choosem |only bpgmm-1.0.7/bpgmm/R/hyperParamClass.R | 11 bpgmm-1.0.7/bpgmm/R/paramClass.R |only bpgmm-1.0.7/bpgmm/R/pgmmMstep.R |only bpgmm-1.0.7/bpgmm/R/pgmmStay.R |only bpgmm-1.0.7/bpgmm/R/pgmmVstep.R |only bpgmm-1.0.7/bpgmm/R/pkgData.R |only bpgmm-1.0.7/bpgmm/R/posteriorZ.R |only bpgmm-1.0.7/bpgmm/R/prior.R | 606 +++++--- bpgmm-1.0.7/bpgmm/R/proposalLambda.R | 885 +++++++----- bpgmm-1.0.7/bpgmm/R/proposalPsi.R | 1032 ++++++++------ bpgmm-1.0.7/bpgmm/R/sourceR.R |only bpgmm-1.0.7/bpgmm/R/summerizeRes.R |only bpgmm-1.0.7/bpgmm/R/updatePostThetaY.R | 173 +- bpgmm-1.0.7/bpgmm/R/utils.R | 669 ++++++++- bpgmm-1.0.7/bpgmm/R/zzz.R | 2 bpgmm-1.0.7/bpgmm/man/CalculateProposalLambda.Rd | 160 +- bpgmm-1.0.7/bpgmm/man/CalculateProposalPsy.Rd | 143 + bpgmm-1.0.7/bpgmm/man/EvaluateProposalLambda.Rd | 142 + bpgmm-1.0.7/bpgmm/man/EvaluateProposalPsy.Rd | 146 + bpgmm-1.0.7/bpgmm/man/Hparam-class.Rd | 3 bpgmm-1.0.7/bpgmm/man/MstepRJMCMCupdate.Rd |only bpgmm-1.0.7/bpgmm/man/ThetaYList.Rd | 2 bpgmm-1.0.7/bpgmm/man/VstepRJMCMCupdate.Rd |only bpgmm-1.0.7/bpgmm/man/calculateRatio.Rd | 8 bpgmm-1.0.7/bpgmm/man/calculateVarList.Rd | 83 + bpgmm-1.0.7/bpgmm/man/changeConstraintFormat.Rd |only bpgmm-1.0.7/bpgmm/man/clearCurrentThetaYlist.Rd |only bpgmm-1.0.7/bpgmm/man/combineClusterPara.Rd |only bpgmm-1.0.7/bpgmm/man/evaluatePrior.Rd | 45 bpgmm-1.0.7/bpgmm/man/evaluatePriorLambda.Rd | 45 bpgmm-1.0.7/bpgmm/man/evaluatePriorPsi.Rd | 34 bpgmm-1.0.7/bpgmm/man/generatePriorLambda.Rd | 30 bpgmm-1.0.7/bpgmm/man/generatePriorPsi.Rd | 20 bpgmm-1.0.7/bpgmm/man/generatePriorThetaY.Rd | 41 bpgmm-1.0.7/bpgmm/man/getIndThetaY.Rd |only bpgmm-1.0.7/bpgmm/man/getRemovedIndThetaY.Rd |only bpgmm-1.0.7/bpgmm/man/getThetaYWithEmpty.Rd |only bpgmm-1.0.7/bpgmm/man/getZmat.Rd | 9 bpgmm-1.0.7/bpgmm/man/getmode.Rd | 11 bpgmm-1.0.7/bpgmm/man/likelihood.Rd | 83 - bpgmm-1.0.7/bpgmm/man/listToStrVec.Rd | 7 bpgmm-1.0.7/bpgmm/man/pgmmRJMCMC.Rd |only bpgmm-1.0.7/bpgmm/man/stayMCMCupdate.Rd |only bpgmm-1.0.7/bpgmm/man/sumerizeZ.Rd | 14 bpgmm-1.0.7/bpgmm/man/summerizePgmmRJMCMC.Rd |only bpgmm-1.0.7/bpgmm/man/toEthetaYlist.Rd |only bpgmm-1.0.7/bpgmm/man/toNEthetaYlist.Rd |only bpgmm-1.0.7/bpgmm/man/updatePostThetaY.Rd | 90 + bpgmm-1.0.7/bpgmm/man/updatePostZ.Rd |only bpgmm-1.0.7/bpgmm/src/updatePostZ.cpp | 24 63 files changed, 3565 insertions(+), 1419 deletions(-)
Title: Easily Send HTML Email Messages
Description: Compose and send out responsive HTML email messages that render
perfectly across a range of email clients and device sizes. Helper functions
let the user insert embedded images, web link buttons, and 'ggplot2' plot
objects into the message body. Messages can be sent through an 'SMTP'
server, through the 'RStudio Connect' service, or through the 'Mailgun' API
service <http://mailgun.com/>.
Author: Richard Iannone [aut, cre] (<https://orcid.org/0000-0003-3925-190X>),
Joe Cheng [aut],
Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>),
Ted Goas [cph] (cerberus-meta.html)
Maintainer: Richard Iannone <riannone@me.com>
Diff between blastula versions 0.3.1 dated 2019-11-27 and 0.3.2 dated 2020-05-19
blastula-0.3.1/blastula/R/render_blocks.R |only blastula-0.3.1/blastula/R/utils-base64.R |only blastula-0.3.1/blastula/vignettes/compose_imgur_ggplot-wide.png |only blastula-0.3.1/blastula/vignettes/compose_imgur_local_image-wide.png |only blastula-0.3.1/blastula/vignettes/compose_interpolation_stmt-wide.png |only blastula-0.3.1/blastula/vignettes/compose_simple-narrow.png |only blastula-0.3.1/blastula/vignettes/compose_simple-wide.png |only blastula-0.3.1/blastula/vignettes/html_email_model.svg |only blastula-0.3.1/blastula/vignettes/prepare_test_message.png |only blastula-0.3.2/blastula/DESCRIPTION | 24 blastula-0.3.2/blastula/MD5 | 181 ++-- blastula-0.3.2/blastula/NAMESPACE | 8 blastula-0.3.2/blastula/NEWS.md | 16 blastula-0.3.2/blastula/R/add_cta_button.R | 35 blastula-0.3.2/blastula/R/add_ggplot.R | 20 blastula-0.3.2/blastula/R/add_image.R | 67 + blastula-0.3.2/blastula/R/add_imgur_image.R | 24 blastula-0.3.2/blastula/R/blastula_email_format.R | 14 blastula-0.3.2/blastula/R/block_articles.R | 393 +--------- blastula-0.3.2/blastula/R/block_social_links.R | 88 -- blastula-0.3.2/blastula/R/block_spacer.R | 43 - blastula-0.3.2/blastula/R/block_text.R | 61 - blastula-0.3.2/blastula/R/block_title.R | 66 - blastula-0.3.2/blastula/R/blocks.R | 14 blastula-0.3.2/blastula/R/bls_template.R | 307 ++----- blastula-0.3.2/blastula/R/compose_email.R | 187 ---- blastula-0.3.2/blastula/R/connect_email.R | 5 blastula-0.3.2/blastula/R/create_credentials.R | 110 ++ blastula-0.3.2/blastula/R/creds_helpers.R | 46 + blastula-0.3.2/blastula/R/mime.R | 58 + blastula-0.3.2/blastula/R/panel.R |only blastula-0.3.2/blastula/R/retrieve_credentials.R | 160 +++- blastula-0.3.2/blastula/R/smtp_send.R | 63 - blastula-0.3.2/blastula/R/text_helpers.R | 29 blastula-0.3.2/blastula/R/utils-html_manipulation.R | 101 +- blastula-0.3.2/blastula/R/utils.R | 9 blastula-0.3.2/blastula/build/vignette.rds |binary blastula-0.3.2/blastula/inst/cerberus-meta.html |only blastula-0.3.2/blastula/inst/doc/sending_using_smtp.R | 23 blastula-0.3.2/blastula/inst/doc/sending_using_smtp.Rmd | 4 blastula-0.3.2/blastula/inst/doc/sending_using_smtp.html | 13 blastula-0.3.2/blastula/inst/doc/simple_composition.R | 36 blastula-0.3.2/blastula/inst/doc/simple_composition.Rmd | 24 blastula-0.3.2/blastula/inst/doc/simple_composition.html | 23 blastula-0.3.2/blastula/inst/examples/connect-example-email.Rmd | 8 blastula-0.3.2/blastula/inst/examples/connect-example-main.Rmd | 12 blastula-0.3.2/blastula/inst/img/blank.png |only blastula-0.3.2/blastula/inst/rmd/template.html | 158 +--- blastula-0.3.2/blastula/man/add_attachment.Rd | 8 blastula-0.3.2/blastula/man/add_ggplot.Rd | 24 blastula-0.3.2/blastula/man/add_image.Rd | 21 blastula-0.3.2/blastula/man/add_imgur_image.Rd | 28 blastula-0.3.2/blastula/man/add_readable_time.Rd | 3 blastula-0.3.2/blastula/man/attach_connect_email.Rd | 11 blastula-0.3.2/blastula/man/blastula_email.Rd | 39 blastula-0.3.2/blastula/man/blastula_template.Rd |only blastula-0.3.2/blastula/man/block_articles.Rd | 2 blastula-0.3.2/blastula/man/block_social_links.Rd | 2 blastula-0.3.2/blastula/man/block_spacer.Rd | 2 blastula-0.3.2/blastula/man/block_text.Rd | 9 blastula-0.3.2/blastula/man/block_title.Rd | 4 blastula-0.3.2/blastula/man/blocks.Rd | 4 blastula-0.3.2/blastula/man/compose_email.Rd | 24 blastula-0.3.2/blastula/man/create_smtp_creds_file.Rd | 19 blastula-0.3.2/blastula/man/create_smtp_creds_key.Rd | 56 - blastula-0.3.2/blastula/man/credential_helpers.Rd | 27 blastula-0.3.2/blastula/man/delete_all_credential_keys.Rd |only blastula-0.3.2/blastula/man/delete_credential_key.Rd |only blastula-0.3.2/blastula/man/md.Rd | 2 blastula-0.3.2/blastula/man/pipe.Rd | 2 blastula-0.3.2/blastula/man/render_email.Rd | 20 blastula-0.3.2/blastula/man/send_by_mailgun.Rd | 6 blastula-0.3.2/blastula/man/smtp_send.Rd | 15 blastula-0.3.2/blastula/man/social_link.Rd | 2 blastula-0.3.2/blastula/man/view_credential_keys.Rd | 25 blastula-0.3.2/blastula/tests/testthat/ggplot.png |only blastula-0.3.2/blastula/tests/testthat/helpers-snapshot.R |only blastula-0.3.2/blastula/tests/testthat/snapshots |only blastula-0.3.2/blastula/tests/testthat/test-add_cta_button.R | 16 blastula-0.3.2/blastula/tests/testthat/test-blocks.R | 111 -- blastula-0.3.2/blastula/tests/testthat/test-compose_email.R | 4 blastula-0.3.2/blastula/tests/testthat/test-credentials.R | 2 blastula-0.3.2/blastula/tests/testthat/test-helper_fcns.R | 26 blastula-0.3.2/blastula/tests/testthat/test-html_manip.R | 36 blastula-0.3.2/blastula/tests/testthat/test-integration.R |only blastula-0.3.2/blastula/tests/testthat/test-mime.R | 23 blastula-0.3.2/blastula/tests/testthat/test-render_blocks.R | 293 ------- blastula-0.3.2/blastula/tests/testthat/test-text_helpers.R |only blastula-0.3.2/blastula/tests/testthat/test-utils.R | 11 blastula-0.3.2/blastula/vignettes/images |only blastula-0.3.2/blastula/vignettes/sending_using_smtp.Rmd | 4 blastula-0.3.2/blastula/vignettes/simple_composition.Rmd | 24 92 files changed, 1369 insertions(+), 1966 deletions(-)
Title: Data Used to Illustrate 'Loon' Functionality
Description: Data used as examples in the 'loon' package.
Author: R. Wayne Oldford [aut, cre],
Adrian Waddell [aut]
Maintainer: R. Wayne Oldford <rwoldford@uwaterloo.ca>
Diff between loon.data versions 0.0.8 dated 2020-04-19 and 0.0.9 dated 2020-05-19
loon.data-0.0.8/loon.data/NEWS |only loon.data-0.0.9/loon.data/DESCRIPTION | 8 - loon.data-0.0.9/loon.data/MD5 | 87 +++++++++++++-------- loon.data-0.0.9/loon.data/NEWS.md | 20 ++++ loon.data-0.0.9/loon.data/R/SAheart.R | 2 loon.data-0.0.9/loon.data/R/SCmolecule.R | 2 loon.data-0.0.9/loon.data/R/alaska_forest.R | 2 loon.data-0.0.9/loon.data/R/blocks.R |only loon.data-0.0.9/loon.data/R/bone.R | 2 loon.data-0.0.9/loon.data/R/bone_ext.R | 2 loon.data-0.0.9/loon.data/R/crabSpecies.R |only loon.data-0.0.9/loon.data/R/diabetes.R |only loon.data-0.0.9/loon.data/R/elements.R | 2 loon.data-0.0.9/loon.data/R/igg1.R | 2 loon.data-0.0.9/loon.data/R/judgment.R |only loon.data-0.0.9/loon.data/R/lepto.R |only loon.data-0.0.9/loon.data/R/lizards.R |only loon.data-0.0.9/loon.data/R/medicalRecords.R |only loon.data-0.0.9/loon.data/R/michelson_1879.R | 2 loon.data-0.0.9/loon.data/R/minority.R | 2 loon.data-0.0.9/loon.data/R/pandemic.R |only loon.data-0.0.9/loon.data/R/pkg_data.R | 2 loon.data-0.0.9/loon.data/data/blocks.rda |only loon.data-0.0.9/loon.data/data/crabSpecies.rda |only loon.data-0.0.9/loon.data/data/datalist | 16 ++- loon.data-0.0.9/loon.data/data/diabetes.rda |only loon.data-0.0.9/loon.data/data/judgment.rda |only loon.data-0.0.9/loon.data/data/lepto.rda |only loon.data-0.0.9/loon.data/data/lizards.rda |only loon.data-0.0.9/loon.data/data/medicalRecords.rda |only loon.data-0.0.9/loon.data/data/pandemic.rda |only loon.data-0.0.9/loon.data/man/SAheart.Rd | 8 + loon.data-0.0.9/loon.data/man/SCmolecule.Rd | 9 +- loon.data-0.0.9/loon.data/man/alaska_forest.Rd | 8 + loon.data-0.0.9/loon.data/man/binaryalphadigits.Rd | 6 - loon.data-0.0.9/loon.data/man/blocks.Rd |only loon.data-0.0.9/loon.data/man/bone.Rd | 8 + loon.data-0.0.9/loon.data/man/bone_ext.Rd | 8 + loon.data-0.0.9/loon.data/man/crabSpecies.Rd |only loon.data-0.0.9/loon.data/man/diabetes.Rd |only loon.data-0.0.9/loon.data/man/digits.Rd | 6 - loon.data-0.0.9/loon.data/man/elements.Rd | 8 + loon.data-0.0.9/loon.data/man/faces.Rd | 6 - loon.data-0.0.9/loon.data/man/figures/logo.png |binary loon.data-0.0.9/loon.data/man/frey.Rd | 6 - loon.data-0.0.9/loon.data/man/igg1.Rd | 7 - loon.data-0.0.9/loon.data/man/judgment.Rd |only loon.data-0.0.9/loon.data/man/lepto.Rd |only loon.data-0.0.9/loon.data/man/lightspeeds.Rd | 6 - loon.data-0.0.9/loon.data/man/lizards.Rd |only loon.data-0.0.9/loon.data/man/medicalRecords.Rd |only loon.data-0.0.9/loon.data/man/michelson_1879.Rd | 8 + loon.data-0.0.9/loon.data/man/minority.Rd | 7 + loon.data-0.0.9/loon.data/man/ordalphadigits.Rd | 4 loon.data-0.0.9/loon.data/man/ordfrey.Rd | 4 loon.data-0.0.9/loon.data/man/pandemic.Rd |only loon.data-0.0.9/loon.data/man/pkg_data.Rd | 2 57 files changed, 177 insertions(+), 85 deletions(-)
Title: Importing and Manipulating Symmetric Input-Output Tables
Description: Pre-processing and basic analytical tasks related to working with Eurostat's symmetric input-output
tables and provide basic input-output economics calculations. The package is
a part of rOpenGov <http://ropengov.github.io/> to open source open government initiatives.
Author: Daniel Antal [aut, cre] (<https://orcid.org/0000-0001-7513-6760>)
Maintainer: Daniel Antal <daniel.antal@ceemid.eu>
Diff between iotables versions 0.4.2 dated 2019-01-18 and 0.4.3 dated 2020-05-19
DESCRIPTION | 16 MD5 | 221 ++++---- NAMESPACE | 5 NEWS.md | 12 R/backward_linkages.R | 15 R/check_digits.R | 1 R/coefficient_matrix_create.R | 7 R/conforming_vector_create.R | 3 R/create_knitr_table.R | 2 R/data-croatia_2010_1700.R | 3 R/data-croatia_2010_1800.R | 8 R/data-croatia_2010_1900.R | 3 R/data-croatia_employment_2013.R | 3 R/data-croatia_employment_aggregation.R | 2 R/data-employment_metadata.R | 2 R/data-metadata.R | 2 R/data-metadata_uk_2010.R | 3 R/data-primary_inputs.R | 3 R/data-uk_2010_data.R | 2 R/data-uk_test_results.R | 3 R/data_germany.R | 2 R/data_netherlands_2006.R | 16 R/direct_effects_create.R | 17 R/employment_get.R | 9 R/empty_remove.R | 1 R/equation_solve.R | 4 R/forward_linkages.R | 8 R/household_column_find.R | 4 R/household_column_get.R | 7 R/input_coefficient_matrix_create.R | 3 R/input_flow_get.R | 6 R/input_indicator_create.R | 4 R/input_multipliers_create.R | 3 R/iotable_get.R | 109 ++-- R/iotable_year_get.R | 10 R/iotables.R |only R/iotables_download.R | 50 +- R/iotables_metadata_get.R |only R/iotables_read_tempdir.R |only R/leontieff_matrix_create.R | 12 R/multiplier_create.R | 10 R/non_zero_columns_find.R | 3 R/output_coefficient_matrix_create.R | 3 R/output_get.R | 8 R/primary_input_get.R | 6 R/quadrant_separator_find.R | 1 R/round_table.R | 11 R/supplementary_add.R | 22 R/total_tax_add.R | 10 R/uk_2010_get.R | 30 - R/utils.R |only README.md | 135 ++++- build/vignette.rds |binary inst/doc/germany_1990.R | 47 + inst/doc/germany_1990.Rmd | 58 +- inst/doc/germany_1990.html | 784 +++++++++++++++++++++++-------- inst/doc/united_kingdom_2010.R | 78 +-- inst/doc/united_kingdom_2010.Rmd | 76 +-- inst/doc/united_kingdom_2010.html | 642 +++++++++++++++++-------- inst/doc/working_with_eurostat.R | 46 + inst/doc/working_with_eurostat.Rmd | 26 - inst/doc/working_with_eurostat.html | 799 +++++++++++++++++++------------- man/backward_linkages.Rd | 21 man/check_digits.Rd | 1 man/coefficient_matrix_create.Rd | 21 man/conforming_vector_create.Rd | 11 man/create_knitr_table.Rd | 22 man/croatia_2010_1700.Rd | 21 man/croatia_2010_1800.Rd | 24 man/croatia_2010_1900.Rd | 22 man/croatia_employment_2013.Rd | 20 man/croatia_employment_aggregation.Rd | 23 man/direct_effects_create.Rd | 13 man/employment_get.Rd | 30 + man/employment_metadata.Rd | 20 man/empty_remove.Rd | 1 man/equation_solve.Rd | 6 man/figures/logo.png |binary man/figures/logo20.png |only man/figures/logo_large.png |only man/forward_linkages.Rd | 14 man/germany_1990.Rd | 19 man/household_column_find.Rd | 4 man/household_column_get.Rd | 15 man/input_coefficient_matrix_create.Rd | 7 man/input_flow_get.Rd | 12 man/input_indicator_create.Rd | 19 man/input_multipliers_create.Rd | 9 man/iotable_get.Rd | 77 ++- man/iotable_year_get.Rd | 20 man/iotables.Rd |only man/iotables_download.Rd | 34 + man/iotables_metadata_get.Rd |only man/iotables_read_tempdir.Rd |only man/leontieff_matrix_create.Rd | 18 man/metadata.Rd | 19 man/metadata_uk_2010.Rd | 18 man/multiplier_create.Rd | 24 man/netherlands_2006.Rd | 48 + man/non_zero_columns_find.Rd | 3 man/output_coefficient_matrix_create.Rd | 8 man/output_get.Rd | 14 man/primary_input_get.Rd | 14 man/primary_inputs.Rd | 23 man/quadrant_separator_find.Rd | 1 man/round_table.Rd | 11 man/supplementary_add.Rd | 22 man/total_tax_add.Rd | 21 man/uk_2010_data.Rd | 21 man/uk_2010_get.Rd | 5 man/uk_test_results.Rd | 21 man/validate_source.Rd |only tests/testthat/test_iotable_get.R | 10 tests/testthat/test_iotables_download.R |only vignettes/germany_1990.Rmd | 58 +- vignettes/united_kingdom_2010.Rmd | 76 +-- vignettes/working_with_eurostat.Rmd | 26 - 117 files changed, 2894 insertions(+), 1429 deletions(-)
Title: Datasets for the 'canvasXpress' Package
Description: Contains the prepared data that is needed for the 'shiny' application examples in the
'canvasXpress' package. This package also includes datasets used for automated 'testthat' tests.
Scotto L, Narayan G, Nandula SV, Arias-Pulido H et al. (2008) <doi:10.1002/gcc.20577>.
Davis S, Meltzer PS (2007) <doi:10.1093/bioinformatics/btm254>.
Author: Isaac Neuhaus [aut],
Connie Brett [aut, cre],
Ger Inberg [aut]
Maintainer: Connie Brett <connie@aggregate-genius.com>
Diff between canvasXpress.data versions 1.27.6 dated 2020-03-20 and 1.28.3 dated 2020-05-19
canvasXpress.data-1.27.6/canvasXpress.data/data/datalist |only canvasXpress.data-1.27.6/canvasXpress.data/inst/extdata/cX-LungCancinoma-dat.txt.gz |only canvasXpress.data-1.27.6/canvasXpress.data/inst/extdata/cX-LungCancinoma-dat2.txt.gz |only canvasXpress.data-1.27.6/canvasXpress.data/inst/extdata/cX-LungCancinoma-dat3.txt.gz |only canvasXpress.data-1.27.6/canvasXpress.data/inst/extdata/cX-LungCancinoma-dat4.txt.gz |only canvasXpress.data-1.27.6/canvasXpress.data/inst/extdata/cX-LungCancinoma-var.txt.gz |only canvasXpress.data-1.28.3/canvasXpress.data/DESCRIPTION | 8 +- canvasXpress.data-1.28.3/canvasXpress.data/MD5 | 31 ++++------ canvasXpress.data-1.28.3/canvasXpress.data/NEWS.md | 5 + canvasXpress.data-1.28.3/canvasXpress.data/README.md | 2 canvasXpress.data-1.28.3/canvasXpress.data/inst/extdata/cX-area4-dat.txt.gz |only canvasXpress.data-1.28.3/canvasXpress.data/inst/extdata/cX-exprtcgat-dat.txt.gz |only canvasXpress.data-1.28.3/canvasXpress.data/inst/extdata/cX-exprtcgat-var.txt.gz |only canvasXpress.data-1.28.3/canvasXpress.data/inst/extdata/cX-networkbasic-nodes.txt.gz |binary canvasXpress.data-1.28.3/canvasXpress.data/inst/extdata/cX-wpapoptosis-edges.txt.gz |binary canvasXpress.data-1.28.3/canvasXpress.data/inst/extdata/network_compact.xml | 2 canvasXpress.data-1.28.3/canvasXpress.data/inst/extdata/network_spacedelimited.xml | 2 canvasXpress.data-1.28.3/canvasXpress.data/man/GSE9750_expression.Rd | 4 - canvasXpress.data-1.28.3/canvasXpress.data/man/GSE9750_gene_details.Rd | 6 + canvasXpress.data-1.28.3/canvasXpress.data/man/GSE9750_sample_annot.Rd | 4 - canvasXpress.data-1.28.3/canvasXpress.data/tests/cx-get-ui-generated-test-datasets.R | 2 21 files changed, 38 insertions(+), 28 deletions(-)
More information about canvasXpress.data at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-12-19 0.3.412
2019-08-02 0.3.410
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-05-06 0.2.3
2019-10-22 0.2.2
2019-08-20 0.2.1
2019-06-09 0.2.0.1
2019-02-08 0.2.0
2019-01-14 0.1.7
2018-11-26 0.1.6
2018-08-15 0.1.5
2018-08-09 0.1.4