Title: Access Data from the Brazilian Development Bank (BNDES)
Description: Allows access to data on BNDES disbursements and contracts since 1995. The package makes it easy to import data from the bank into R.<https://www.bndes.gov.br/SiteBNDES/bndes/bndes_en>.
Author: Igor Laltuf [aut, cre]
Maintainer: Igor Laltuf <igorlaltuf@gmail.com>
Diff between bndesr versions 1.0.2 dated 2023-04-02 and 1.0.3 dated 2023-06-06
bndesr-1.0.2/bndesr/man/query_bndespar_portifolio.Rd |only bndesr-1.0.3/bndesr/DESCRIPTION | 8 +++--- bndesr-1.0.3/bndesr/MD5 | 12 +++++----- bndesr-1.0.3/bndesr/NAMESPACE | 2 - bndesr-1.0.3/bndesr/R/query_bndespar_portfolio.R | 4 +-- bndesr-1.0.3/bndesr/man/query_bndespar_portfolio.Rd |only bndesr-1.0.3/bndesr/tests/testthat/test-query_bndespar_portfolio.R | 2 - bndesr-1.0.3/bndesr/tests/testthat/test-query_contracts.R | 6 ++--- 8 files changed, 17 insertions(+), 17 deletions(-)
Title: Jack, Zonal, and Schur Polynomials
Description: Symbolic calculation and evaluation of the Jack polynomials,
zonal polynomials, and Schur polynomials. Mainly based on Demmel &
Koev's paper (2006) <doi:10.1090/S0025-5718-05-01780-1>. Zonal
polynomials and Schur polynomials are particular cases of Jack
polynomials. Zonal polynomials appear in random matrix theory. Schur
polynomials appear in the field of combinatorics.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Diff between jack versions 5.1.0 dated 2023-05-10 and 5.2.0 dated 2023-06-06
DESCRIPTION | 8 +-- MD5 | 26 +++++------ NEWS.md | 7 +++ R/CPP.R | 81 ++++++++++++++++++++++++----------- R/RcppExports.R | 16 +++++-- src/RcppExports.cpp | 47 ++++++++++++++++---- src/jack.cpp | 2 src/jack.h | 6 +- src/jackEval.cpp | 98 +++++++++++++++++++++++++------------------ src/shared.cpp | 52 ++++++++++++---------- src/utils.cpp | 8 ++- tests/testthat/test-schur.R | 7 ++- tests/testthat/test-zonal.R | 7 ++- tests/testthat/test-zonalQ.R | 7 ++- 14 files changed, 245 insertions(+), 127 deletions(-)
Title: Visualizations of High-Dimensional Data
Description: Gives access to data visualisation methods that are relevant from the data scientist's point of view. The flagship idea of 'DataVisualizations' is the mirrored density plot (MD-plot) for either classified or non-classified multivariate data published in Thrun, M.C. et al.: "Analyzing the Fine Structure of Distributions" (2020), PLoS ONE, <DOI:10.1371/journal.pone.0238835>. The MD-plot outperforms the box-and-whisker diagram (box plot), violin plot and bean plot and geom_violin plot of ggplot2. Furthermore, a collection of various visualization methods for univariate data is provided. In the case of exploratory data analysis, 'DataVisualizations' makes it possible to inspect the distribution of each feature of a dataset visually through a combination of four methods. One of these methods is the Pareto density estimation (PDE) of the probability density function (pdf). Additionally, visualizations of the distribution of distances using PDE, the scatter-density plot using PDE for tw [...truncated...]
Author: Michael Thrun [aut, cre, cph] ,
Felix Pape [aut, rev],
Onno Hansen-Goos [ctr, ctb],
Hamza Tayyab [ctr, ctb],
Luca Brinkmann [ctr, ctb],
Dirk Eddelbuettel [ctr],
Craig Varrichio [ctr],
Alfred Ultsch [dtc, ctb, ctr]
Maintainer: Michael Thrun <m.thrun@gmx.net>
Diff between DataVisualizations versions 1.2.3 dated 2022-05-21 and 1.3.0 dated 2023-06-06
DataVisualizations-1.2.3/DataVisualizations/R/PDEscatter.R |only DataVisualizations-1.2.3/DataVisualizations/R/SmoothedDensitiesXY.R |only DataVisualizations-1.2.3/DataVisualizations/R/inPSphere2D.R |only DataVisualizations-1.2.3/DataVisualizations/R/smooth1D.R |only DataVisualizations-1.2.3/DataVisualizations/man/PDEscatter.Rd |only DataVisualizations-1.2.3/DataVisualizations/man/SmoothedDensitiesXY.Rd |only DataVisualizations-1.2.3/DataVisualizations/man/inPSphere2D.Rd |only DataVisualizations-1.2.3/DataVisualizations/src/c_inPSphere2D.cpp |only DataVisualizations-1.2.3/DataVisualizations/src/packagename_init.c |only DataVisualizations-1.3.0/DataVisualizations/DESCRIPTION | 16 DataVisualizations-1.3.0/DataVisualizations/MD5 | 85 DataVisualizations-1.3.0/DataVisualizations/NAMESPACE | 169 DataVisualizations-1.3.0/DataVisualizations/R/CCDFplot.R |only DataVisualizations-1.3.0/DataVisualizations/R/ClassErrorbar.R |only DataVisualizations-1.3.0/DataVisualizations/R/Classplot.R | 169 DataVisualizations-1.3.0/DataVisualizations/R/DensityContour.R |only DataVisualizations-1.3.0/DataVisualizations/R/DensityScatter.R | 260 DataVisualizations-1.3.0/DataVisualizations/R/Fanplot.R | 4 DataVisualizations-1.3.0/DataVisualizations/R/Heatmap.R | 33 DataVisualizations-1.3.0/DataVisualizations/R/InspectVariable.R | 74 DataVisualizations-1.3.0/DataVisualizations/R/MDplot4multiplevectors.R | 2 DataVisualizations-1.3.0/DataVisualizations/R/ParetoDensityEstimation.R | 2 DataVisualizations-1.3.0/DataVisualizations/R/PlotGraph2D.R |only DataVisualizations-1.3.0/DataVisualizations/R/PlotMissingvalues.R | 58 DataVisualizations-1.3.0/DataVisualizations/R/QQplot.R | 100 DataVisualizations-1.3.0/DataVisualizations/R/RcppExports.R | 26 DataVisualizations-1.3.0/DataVisualizations/R/estimateDensity2D.R |only DataVisualizations-1.3.0/DataVisualizations/R/internpiechart.R | 5 DataVisualizations-1.3.0/DataVisualizations/build/partial.rdb |binary DataVisualizations-1.3.0/DataVisualizations/build/vignette.rds |binary DataVisualizations-1.3.0/DataVisualizations/inst/CITATION | 5 DataVisualizations-1.3.0/DataVisualizations/inst/NEWS | 39 DataVisualizations-1.3.0/DataVisualizations/inst/doc/DataVisualizations.R | 263 DataVisualizations-1.3.0/DataVisualizations/inst/doc/DataVisualizations.Rmd | 7 DataVisualizations-1.3.0/DataVisualizations/inst/doc/DataVisualizations.html | 3898 ++++------ DataVisualizations-1.3.0/DataVisualizations/man/CCDFplot.Rd |only DataVisualizations-1.3.0/DataVisualizations/man/ClassErrorbar.Rd |only DataVisualizations-1.3.0/DataVisualizations/man/Classplot.Rd | 51 DataVisualizations-1.3.0/DataVisualizations/man/Crosstable.Rd | 4 DataVisualizations-1.3.0/DataVisualizations/man/DataVisualizations-package.Rd | 10 DataVisualizations-1.3.0/DataVisualizations/man/DensityContour.Rd |only DataVisualizations-1.3.0/DataVisualizations/man/DensityScatter.Rd | 132 DataVisualizations-1.3.0/DataVisualizations/man/Fanplot.Rd | 13 DataVisualizations-1.3.0/DataVisualizations/man/ITS.Rd | 3 DataVisualizations-1.3.0/DataVisualizations/man/Lsun3D.Rd | 63 DataVisualizations-1.3.0/DataVisualizations/man/MDplot4multiplevectors.Rd | 2 DataVisualizations-1.3.0/DataVisualizations/man/ParetoDensityEstimation.Rd | 8 DataVisualizations-1.3.0/DataVisualizations/man/Pixelmatrix.Rd | 5 DataVisualizations-1.3.0/DataVisualizations/man/PlotGraph2D.Rd |only DataVisualizations-1.3.0/DataVisualizations/man/QQplot.Rd | 123 DataVisualizations-1.3.0/DataVisualizations/man/estimateDensity2D.Rd |only DataVisualizations-1.3.0/DataVisualizations/src/RcppExports.cpp | 28 DataVisualizations-1.3.0/DataVisualizations/vignettes/DataVisualizations.Rmd | 7 53 files changed, 2904 insertions(+), 2760 deletions(-)
More information about DataVisualizations at CRAN
Permanent link
Title: Robust Bayesian Variable Selection via Expectation-Maximization
Description: Variable selection methods have been extensively developed for analyzing high-dimensional omics data within both the frequentist and Bayesian frameworks. This package implemented the spike-and-slab quantile LASSO which has been developed along the line of Bayesian hierarchical model but deeply rooted in the frequentist regularization methods by utilizing the Expectation–Maximization (EM) algorithm. Therefore, the proposed method borrows strength from both the frequentist and Bayesian frameworks while overcoming their respective limitations. The spike-and-slab quantile LASSO can handle data irregularity in terms of skewness and outliers in the disease trait, compared to its nonrobust alternative, the spike-and-slab LASSO, which has also been implemented in the package. The core module of this package is developed in 'C++'.
Author: Yuwen Liu [aut, cre],
Cen Wu [aut]
Maintainer: Yuwen Liu <yuwen@ksu.edu>
Diff between emBayes versions 0.1.0 dated 2023-05-20 and 0.1.1 dated 2023-06-06
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- src/EM.cpp | 11 ++++++----- src/Utilities.cpp | 7 ++++--- 4 files changed, 17 insertions(+), 15 deletions(-)
Title: Utility Functions and Development Tools for the Admiral Package
Family
Description: Utility functions to check data, variables and conditions for functions used in
'admiral' and 'admiral' extension packages. Additional utility helper functions to assist developers
with maintaining documentation, testing and general upkeep of 'admiral' and 'admiral' extension packages.
Author: Ben Straub [aut, cre],
Stefan Bundfuss [aut],
Thomas Neitmann [aut],
Samia Kabi [aut],
Pooja Kumari [aut],
Syed Mubasheer [aut],
Ross Farrugia [aut],
Sadchla Mascary [aut],
Zelos Zhu [aut],
Jeffrey Dickinson [aut],
Ania Golab [aut],
Ondrej Slama [ctb [...truncated...]
Maintainer: Ben Straub <ben.x.straub@gsk.com>
Diff between admiraldev versions 0.3.0 dated 2023-03-06 and 0.4.0 dated 2023-06-06
DESCRIPTION | 11 - MD5 | 107 +++++---- NAMESPACE | 2 NEWS.md | 30 ++ R/addin_format_testthat.R | 3 R/assertions.R | 286 +++++++++++++++++--------- R/dataset_vignette.R | 2 R/dev_utilities.R | 16 + R/process_set_values_to.R | 4 R/quo.R | 59 ++--- R/warnings.R | 2 README.md | 13 - man/add_suffix_to_vars.Rd | 3 man/admiraldev-package.Rd | 1 man/assert_atomic_vector.Rd | 5 man/assert_character_scalar.Rd | 7 man/assert_character_vector.Rd | 5 man/assert_data_frame.Rd | 5 man/assert_date_vector.Rd | 5 man/assert_expr.Rd | 5 man/assert_expr_list.Rd |only man/assert_filter_cond.Rd | 5 man/assert_function.Rd | 13 - man/assert_function_param.Rd | 5 man/assert_has_variables.Rd | 3 man/assert_integer_scalar.Rd | 5 man/assert_list_element.Rd | 3 man/assert_list_of.Rd | 5 man/assert_logical_scalar.Rd | 5 man/assert_named.Rd |only man/assert_named_exprs.Rd | 5 man/assert_numeric_vector.Rd | 5 man/assert_one_to_one.Rd | 3 man/assert_order_vars.Rd | 59 +---- man/assert_param_does_not_exist.Rd | 3 man/assert_s3_class.Rd | 5 man/assert_same_type.Rd | 3 man/assert_symbol.Rd | 5 man/assert_unit.Rd | 3 man/assert_vars.Rd | 5 man/assert_varval_list.Rd | 11 - man/expr_c.Rd | 3 man/extract_vars.Rd | 8 man/process_set_values_to.Rd | 2 man/quo_c.Rd | 13 - man/quo_not_missing.Rd | 13 - man/replace_symbol_in_expr.Rd | 3 man/replace_symbol_in_quo.Rd | 13 - man/replace_values_by_names.Rd | 9 tests/testthat.R | 4 tests/testthat/test-assertions.R | 362 +++++++++++++++++---------------- tests/testthat/test-dataset_vignette.R | 8 tests/testthat/test-datasets.R |only tests/testthat/test-dev_utilities.R | 26 ++ tests/testthat/test-get.R | 2 tests/testthat/test-quo.R | 98 +++++--- 56 files changed, 752 insertions(+), 534 deletions(-)
Title: Tensors and Neural Networks with 'GPU' Acceleration
Description: Provides functionality to define and train neural networks similar to
'PyTorch' by Paszke et al (2019) <arXiv:1912.01703> but written entirely in R
using the 'libtorch' library. Also supports low-level tensor operations and
'GPU' acceleration.
Author: Daniel Falbel [aut, cre, cph],
Javier Luraschi [aut],
Dmitriy Selivanov [ctb],
Athos Damiani [ctb],
Christophe Regouby [ctb],
Krzysztof Joachimiak [ctb],
Hamada S. Badr [ctb],
RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>
Diff between torch versions 0.10.0 dated 2023-04-13 and 0.11.0 dated 2023-06-06
torch-0.10.0/torch/R/tensor_options.R |only torch-0.10.0/torch/src/tensor_options.cpp |only torch-0.10.0/torch/tests/testthat/test-tensor_options.R |only torch-0.11.0/torch/DESCRIPTION | 31 - torch-0.11.0/torch/MD5 | 195 ++++----- torch-0.11.0/torch/NAMESPACE | 16 torch-0.11.0/torch/NEWS.md | 41 + torch-0.11.0/torch/R/RcppExports.R | 68 ++- torch-0.11.0/torch/R/creation-ops.R | 82 +-- torch-0.11.0/torch/R/device.R | 26 + torch-0.11.0/torch/R/generator.R | 5 torch-0.11.0/torch/R/install.R | 52 ++ torch-0.11.0/torch/R/jit-execute.R |only torch-0.11.0/torch/R/jit-ops.R |only torch-0.11.0/torch/R/layout.R | 2 torch-0.11.0/torch/R/nn-activation.R | 9 torch-0.11.0/torch/R/nn-loss.R | 2 torch-0.11.0/torch/R/nn-utils-weight-norm.R |only torch-0.11.0/torch/R/nn.R | 61 ++ torch-0.11.0/torch/R/nnf-activation.R | 7 torch-0.11.0/torch/R/optim-adamw.R | 2 torch-0.11.0/torch/R/optim-lbfgs.R | 53 +- torch-0.11.0/torch/R/optim.R | 20 torch-0.11.0/torch/R/package.R | 2 torch-0.11.0/torch/R/save.R | 5 torch-0.11.0/torch/R/tensor.R | 75 ++- torch-0.11.0/torch/R/wrapers.R | 58 -- torch-0.11.0/torch/README.md | 23 - torch-0.11.0/torch/build/partial.rdb |binary torch-0.11.0/torch/inst/doc/installation.Rmd | 12 torch-0.11.0/torch/inst/doc/installation.html | 18 torch-0.11.0/torch/inst/include/lantern.h | 74 +++ torch-0.11.0/torch/inst/include/lantern/lantern.h | 85 +++ torch-0.11.0/torch/inst/include/lantern/types.h | 16 torch-0.11.0/torch/inst/include/torch_api.h | 8 torch-0.11.0/torch/inst/include/torch_deleters.h | 4 torch-0.11.0/torch/inst/include/torch_impl.h | 31 + torch-0.11.0/torch/inst/include/torch_imports.h | 12 torch-0.11.0/torch/inst/include/torch_types.h | 51 ++ torch-0.11.0/torch/man/install_torch.Rd | 14 torch-0.11.0/torch/man/jit_ops.Rd |only torch-0.11.0/torch/man/load_state_dict.Rd | 7 torch-0.11.0/torch/man/local_device.Rd |only torch-0.11.0/torch/man/nn_gelu.Rd | 6 torch-0.11.0/torch/man/nn_module_dict.Rd |only torch-0.11.0/torch/man/nn_module_list.Rd | 3 torch-0.11.0/torch/man/nn_utils_weight_norm.Rd |only torch-0.11.0/torch/man/nnf_gelu.Rd | 6 torch-0.11.0/torch/man/optim_lbfgs.Rd | 34 + torch-0.11.0/torch/man/torch_arange.Rd | 2 torch-0.11.0/torch/man/torch_bartlett_window.Rd | 2 torch-0.11.0/torch/man/torch_blackman_window.Rd | 2 torch-0.11.0/torch/man/torch_empty.Rd | 2 torch-0.11.0/torch/man/torch_empty_like.Rd | 2 torch-0.11.0/torch/man/torch_empty_strided.Rd | 2 torch-0.11.0/torch/man/torch_eye.Rd | 2 torch-0.11.0/torch/man/torch_fft_fftfreq.Rd | 4 torch-0.11.0/torch/man/torch_full.Rd | 2 torch-0.11.0/torch/man/torch_full_like.Rd | 2 torch-0.11.0/torch/man/torch_hamming_window.Rd | 2 torch-0.11.0/torch/man/torch_hann_window.Rd | 2 torch-0.11.0/torch/man/torch_kaiser_window.Rd | 2 torch-0.11.0/torch/man/torch_linspace.Rd | 2 torch-0.11.0/torch/man/torch_logspace.Rd | 2 torch-0.11.0/torch/man/torch_ones.Rd | 2 torch-0.11.0/torch/man/torch_ones_like.Rd | 2 torch-0.11.0/torch/man/torch_rand.Rd | 2 torch-0.11.0/torch/man/torch_rand_like.Rd | 2 torch-0.11.0/torch/man/torch_randint.Rd | 2 torch-0.11.0/torch/man/torch_randint_like.Rd | 2 torch-0.11.0/torch/man/torch_randn.Rd | 2 torch-0.11.0/torch/man/torch_randn_like.Rd | 2 torch-0.11.0/torch/man/torch_randperm.Rd | 2 torch-0.11.0/torch/man/torch_range.Rd | 2 torch-0.11.0/torch/man/torch_tensor_from_buffer.Rd |only torch-0.11.0/torch/man/torch_tril_indices.Rd | 6 torch-0.11.0/torch/man/torch_triu_indices.Rd | 6 torch-0.11.0/torch/man/torch_zeros.Rd | 2 torch-0.11.0/torch/man/torch_zeros_like.Rd | 2 torch-0.11.0/torch/src/Makevars.in | 2 torch-0.11.0/torch/src/RcppExports.cpp | 214 ++++++++-- torch-0.11.0/torch/src/codegen.cpp | 4 torch-0.11.0/torch/src/device.cpp | 27 + torch-0.11.0/torch/src/generator.cpp | 2 torch-0.11.0/torch/src/jit-execute.cpp |only torch-0.11.0/torch/src/layout.cpp | 12 torch-0.11.0/torch/src/save.cpp | 4 torch-0.11.0/torch/src/tensor.cpp | 34 + torch-0.11.0/torch/src/torch_api.cpp | 158 ++++++- torch-0.11.0/torch/src/torch_exports.cpp | 8 torch-0.11.0/torch/tests/testthat/_snaps/jit-ops.md |only torch-0.11.0/torch/tests/testthat/assets/ordered_dict.pt |only torch-0.11.0/torch/tests/testthat/test-autocast.R | 2 torch-0.11.0/torch/tests/testthat/test-device.R | 20 torch-0.11.0/torch/tests/testthat/test-dtype.R | 28 + torch-0.11.0/torch/tests/testthat/test-generator.R | 11 torch-0.11.0/torch/tests/testthat/test-jit-execute.R |only torch-0.11.0/torch/tests/testthat/test-jit-ops.R |only torch-0.11.0/torch/tests/testthat/test-nn-utils-weight-norm.R |only torch-0.11.0/torch/tests/testthat/test-nn.R | 95 ++++ torch-0.11.0/torch/tests/testthat/test-optim-lbfgs.R | 23 + torch-0.11.0/torch/tests/testthat/test-optim-sgd.R | 28 + torch-0.11.0/torch/tests/testthat/test-save.R | 10 torch-0.11.0/torch/tests/testthat/test-tensor.R | 34 + torch-0.11.0/torch/tests/testthat/tracedmodule.pt |binary torch-0.11.0/torch/tools/create-decls.R | 2 torch-0.11.0/torch/vignettes/installation.Rmd | 12 107 files changed, 1595 insertions(+), 419 deletions(-)
Title: Haplotype-Aware CNV Analysis from scRNA-Seq
Description: A computational method that infers copy number variations (CNVs) in cancer scRNA-seq data and reconstructs the tumor phylogeny. 'numbat' integrates signals from gene expression, allelic ratio, and population haplotype structures to accurately infer allele-specific CNVs in single cells and reconstruct their lineage relationship. 'numbat' can be used to: 1. detect allele-specific copy number variations from single-cells; 2. differentiate tumor versus normal cells in the tumor microenvironment; 3. infer the clonal architecture and evolutionary history of profiled tumors. 'numbat' does not require tumor/normal-paired DNA or genotype data, but operates solely on the donor scRNA-data data (for example, 10x Cell Ranger output). Additional examples and documentations are available at <https://kharchenkolab.github.io/numbat/>. For details on the method please see Gao et al. Nature Biotechnology (2022) <doi:10.1038/s41587-022-01468-y>.
Author: Teng Gao [cre, aut],
Ruslan Soldatov [aut],
Hirak Sarkar [aut],
Evan Biederstedt [aut],
Peter Kharchenko [aut]
Maintainer: Teng Gao <tgao@g.harvard.edu>
Diff between numbat versions 1.3.0 dated 2023-04-02 and 1.3.2 dated 2023-06-06
numbat-1.3.0/numbat/R/poilog.R |only numbat-1.3.0/numbat/man/t.test.pval.Rd |only numbat-1.3.2/numbat/DESCRIPTION | 6 - numbat-1.3.2/numbat/MD5 | 36 +++++----- numbat-1.3.2/numbat/NEWS.md | 10 +++ numbat-1.3.2/numbat/R/class.R | 2 numbat-1.3.2/numbat/R/diagnostics.R | 62 +++++++++++++----- numbat-1.3.2/numbat/R/hmm.R | 79 ++++++++++++++++++++++- numbat-1.3.2/numbat/R/main.R | 4 - numbat-1.3.2/numbat/R/utils.R | 83 ++++++++++++++++++------- numbat-1.3.2/numbat/man/Numbat.Rd | 2 numbat-1.3.2/numbat/man/calc_trans_mat.Rd | 14 ++++ numbat-1.3.2/numbat/man/check_segs_loh.Rd | 4 + numbat-1.3.2/numbat/man/dpoilog.Rd | 2 numbat-1.3.2/numbat/man/forward_back_allele.Rd | 6 + numbat-1.3.2/numbat/man/get_trans_probs.Rd | 22 ++++++ numbat-1.3.2/numbat/man/likelihood_allele.Rd |only numbat-1.3.2/numbat/man/t_test_pval.Rd |only numbat-1.3.2/numbat/man/viterbi_allele.Rd | 6 + numbat-1.3.2/numbat/man/viterbi_joint.Rd | 6 + numbat-1.3.2/numbat/man/viterbi_loh.Rd | 8 ++ 21 files changed, 285 insertions(+), 67 deletions(-)
Title: Generalized Method of Moments and Generalized Empirical
Likelihood
Description: It is a complete suite to estimate models based on moment conditions. It includes the two step Generalized method of moments (Hansen 1982; <doi:10.2307/1912775>), the iterated GMM and continuous updated estimator (Hansen, Eaton and Yaron 1996; <doi:10.2307/1392442>) and several methods that belong to the Generalized Empirical Likelihood family of estimators (Smith 1997; <doi:10.1111/j.0013-0133.1997.174.x>, Kitamura 1997; <doi:10.1214/aos/1069362388>, Newey and Smith 2004; <doi:10.1111/j.1468-0262.2004.00482.x>, and Anatolyev 2005 <doi:10.1111/j.1468-0262.2005.00601.x>).
Author: Pierre Chausse <pchausse@uwaterloo.ca>
Maintainer: Pierre Chausse <pchausse@uwaterloo.ca>
Diff between gmm versions 1.7 dated 2022-08-12 and 1.8 dated 2023-06-06
DESCRIPTION | 12 ++++++------ MD5 | 22 +++++++++++----------- R/getModel.R | 8 ++++---- build/partial.rdb |binary build/vignette.rds |binary data/Finance.rda |binary data/Growth.rda |binary data/nsw.rda |binary data/wage.rda |binary inst/CITATION | 28 +++++++++++----------------- inst/doc/gmm_with_R.pdf |binary src/Makevars | 2 +- 12 files changed, 33 insertions(+), 39 deletions(-)
Title: Infer Geographic Origin from Isotopic Data
Description: Routines for re-scaling isotope maps using known-origin tissue isotope data, assigning origin of unknown samples, and summarizing and assessing assignment results. Methods are adapted from Wunder (2010, in ISBN:9789048133536) and Vander Zanden, H. B. et al. (2014) <doi:10.1111/2041-210X.12229> as described in Ma, C. et al. (2020) <doi:10.1111/2041-210X.13426>.
Author: Chao Ma, Gabe Bowen
Maintainer: Gabe Bowen <gabe.bowen@utah.edu>
Diff between assignR versions 2.2.3 dated 2023-04-12 and 2.3.0 dated 2023-06-06
assignR-2.2.3/assignR/data/d2h_lrNA.rda |only assignR-2.2.3/assignR/data/knownOrig.rda |only assignR-2.2.3/assignR/data/naMap.rda |only assignR-2.2.3/assignR/data/sr_MI.rda |only assignR-2.2.3/assignR/data/states.rda |only assignR-2.3.0/assignR/DESCRIPTION | 8 assignR-2.3.0/assignR/MD5 | 125 ++-- assignR-2.3.0/assignR/NAMESPACE | 20 assignR-2.3.0/assignR/NEWS.md | 6 assignR-2.3.0/assignR/R/QA.R | 242 ++++----- assignR-2.3.0/assignR/R/build_files.R |only assignR-2.3.0/assignR/R/calRaster.R | 118 ++-- assignR-2.3.0/assignR/R/getIsoscapes.R | 17 assignR-2.3.0/assignR/R/isoStack.R | 94 +-- assignR-2.3.0/assignR/R/oddsRatio.R | 70 +- assignR-2.3.0/assignR/R/pdRaster.R | 111 ++-- assignR-2.3.0/assignR/R/qtlRaster.R | 81 +-- assignR-2.3.0/assignR/R/subOrigData.R | 56 +- assignR-2.3.0/assignR/R/summarize.R | 26 assignR-2.3.0/assignR/R/sysdata.rda |binary assignR-2.3.0/assignR/R/wDist.R | 57 +- assignR-2.3.0/assignR/README.md | 12 assignR-2.3.0/assignR/data/stds.rda |binary assignR-2.3.0/assignR/inst/doc/assignR.R | 43 - assignR-2.3.0/assignR/inst/doc/assignR.Rmd | 53 -- assignR-2.3.0/assignR/inst/doc/assignR.html | 370 ++++++-------- assignR-2.3.0/assignR/inst/extdata |only assignR-2.3.0/assignR/man/QA.rd | 15 assignR-2.3.0/assignR/man/c.wDist.Rd | 6 assignR-2.3.0/assignR/man/calRaster.Rd | 16 assignR-2.3.0/assignR/man/d2h_lrNA.Rd | 10 assignR-2.3.0/assignR/man/getIsoscapes.Rd | 3 assignR-2.3.0/assignR/man/isoStack.Rd | 15 assignR-2.3.0/assignR/man/jointP.Rd | 16 assignR-2.3.0/assignR/man/knownOrig.Rd | 16 assignR-2.3.0/assignR/man/naMap.Rd | 12 assignR-2.3.0/assignR/man/oddsRatio.Rd | 34 - assignR-2.3.0/assignR/man/pdRaster.Rd | 18 assignR-2.3.0/assignR/man/plot.QA.Rd | 5 assignR-2.3.0/assignR/man/plot.isoStack.Rd | 8 assignR-2.3.0/assignR/man/plot.wDist.Rd | 6 assignR-2.3.0/assignR/man/qtlRaster.Rd | 20 assignR-2.3.0/assignR/man/sr_MI.Rd | 8 assignR-2.3.0/assignR/man/states.Rd | 12 assignR-2.3.0/assignR/man/stds.Rd | 4 assignR-2.3.0/assignR/man/subOrigData.Rd | 17 assignR-2.3.0/assignR/man/unionP.Rd | 16 assignR-2.3.0/assignR/man/wDist.Rd | 20 assignR-2.3.0/assignR/man/wrld_simpl.Rd |only assignR-2.3.0/assignR/tests/testthat.R | 3 assignR-2.3.0/assignR/tests/testthat/test_getIsoscapes.R | 5 assignR-2.3.0/assignR/tests/testthat/test_pdRaster.R | 107 ++-- assignR-2.3.0/assignR/tests/testthat/test_plot.QA.R | 46 - assignR-2.3.0/assignR/tests/testthat/test_plot.isoStack.R | 6 assignR-2.3.0/assignR/tests/testthat/test_processing.R | 230 ++++---- assignR-2.3.0/assignR/vignettes/assignR.Rmd | 53 -- 56 files changed, 1119 insertions(+), 1117 deletions(-)
Title: Variable Selection for Clustering and Classification
Description: Performs variable selection/feature reduction under a clustering or
classification framework. In particular, it can be used in an automated fashion
using mixture model-based methods ('teigen' and 'mclust' are currently supported).
Can account for mixtures of non-Gaussian distributions via Manly transform (via 'ManlyMix').
See Andrews and McNicholas (2014) <doi:10.1007/s00357-013-9139-2> and Neal and McNicholas (2023)
<doi:10.48550/arXiv.2305.16464>.
Author: Jeffrey L. Andrews [aut],
Mackenzie R. Neal [aut],
Paul D. McNicholas [aut, cre]
Maintainer: Paul D. McNicholas <mcnicholas@math.mcmaster.ca>
Diff between vscc versions 0.5 dated 2023-05-08 and 0.6 dated 2023-06-06
ChangeLog | 4 ++++ DESCRIPTION | 15 ++++++++------- MD5 | 8 ++++---- R/vsccmanly.R | 9 ++++++++- inst/CITATION | 14 +++++++++++--- 5 files changed, 35 insertions(+), 15 deletions(-)
Title: Statistical Inference for Partially Observed Markov Processes
Description: Tools for data analysis with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.
Author: Aaron A. King [aut, cre] ,
Edward L. Ionides [aut] ,
Carles Breto [aut] ,
Stephen P. Ellner [ctb] ,
Matthew J. Ferrari [ctb],
Sebastian Funk [ctb] ,
Steven G. Johnson [ctb],
Bruce E. Kendall [ctb] ,
Michael Lavine [ctb],
Dao Nguyen [ctb] ,
Eamon B. O [...truncated...]
Maintainer: Aaron A. King <kingaa@umich.edu>
Diff between pomp versions 5.1 dated 2023-04-17 and 5.2 dated 2023-06-06
pomp-5.1/pomp/R/aaa.R |only pomp-5.1/pomp/README.md |only pomp-5.2/pomp/DESCRIPTION | 20 ++-- pomp-5.2/pomp/MD5 | 150 ++++++++++++++++++------------------- pomp-5.2/pomp/NAMESPACE | 2 pomp-5.2/pomp/R/abc.R | 6 - pomp-5.2/pomp/R/as_data_frame.R | 3 pomp-5.2/pomp/R/bake.R | 34 ++++---- pomp-5.2/pomp/R/basic_probes.R | 22 ++--- pomp-5.2/pomp/R/betabinom.R | 4 pomp-5.2/pomp/R/bsmc2.R | 10 +- pomp-5.2/pomp/R/bsplines.R | 14 +-- pomp-5.2/pomp/R/builder.R | 10 -- pomp-5.2/pomp/R/coef.R | 8 - pomp-5.2/pomp/R/covariate_table.R | 6 - pomp-5.2/pomp/R/covmat.R | 2 pomp-5.2/pomp/R/dacca.R | 2 pomp-5.2/pomp/R/distributions.R | 6 - pomp-5.2/pomp/R/filter_traj.R | 2 pomp-5.2/pomp/R/flow.R | 4 pomp-5.2/pomp/R/forecast.R | 4 pomp-5.2/pomp/R/kalman.R | 10 +- pomp-5.2/pomp/R/melt.R | 12 ++ pomp-5.2/pomp/R/mif2.R | 6 - pomp-5.2/pomp/R/nlf.R | 15 +-- pomp-5.2/pomp/R/obs.R | 7 - pomp-5.2/pomp/R/package.R | 16 +++ pomp-5.2/pomp/R/parameter_trans.R | 4 pomp-5.2/pomp/R/parmat.R | 8 - pomp-5.2/pomp/R/pfilter.R | 4 pomp-5.2/pomp/R/plot.R | 8 - pomp-5.2/pomp/R/pmcmc.R | 6 - pomp-5.2/pomp/R/pomp.R | 2 pomp-5.2/pomp/R/pomp_fun.R | 4 pomp-5.2/pomp/R/probe.R | 4 pomp-5.2/pomp/R/probe_match.R | 4 pomp-5.2/pomp/R/profile_design.R | 5 - pomp-5.2/pomp/R/proposals.R | 34 +++----- pomp-5.2/pomp/R/pstop.R | 57 ++++++++++---- pomp-5.2/pomp/R/rprocess_spec.R | 20 ++-- pomp-5.2/pomp/R/runif_design.R | 11 +- pomp-5.2/pomp/R/sannbox.R | 7 - pomp-5.2/pomp/R/saved_states.R | 5 - pomp-5.2/pomp/R/simulate.R | 6 - pomp-5.2/pomp/R/skeleton_spec.R | 2 pomp-5.2/pomp/R/slice_design.R | 9 +- pomp-5.2/pomp/R/sobol_design.R | 9 -- pomp-5.2/pomp/R/spect.R | 6 - pomp-5.2/pomp/R/spect_match.R | 4 pomp-5.2/pomp/R/states.R | 7 - pomp-5.2/pomp/R/templates.R | 4 pomp-5.2/pomp/R/time.R | 2 pomp-5.2/pomp/R/timezero.R | 4 pomp-5.2/pomp/R/traces.R | 2 pomp-5.2/pomp/R/traj_match.R | 6 - pomp-5.2/pomp/R/trajectory.R | 8 - pomp-5.2/pomp/R/undefined.R | 7 - pomp-5.2/pomp/R/window.R | 4 pomp-5.2/pomp/R/workhorses.R | 22 ++--- pomp-5.2/pomp/R/wpfilter.R | 4 pomp-5.2/pomp/R/wquant.R | 10 -- pomp-5.2/pomp/build/partial.rdb |binary pomp-5.2/pomp/data/LondonYorke.rda |binary pomp-5.2/pomp/data/bsflu.rda |binary pomp-5.2/pomp/data/ebolaWA2014.rda |binary pomp-5.2/pomp/data/ewcitmeas.rda |binary pomp-5.2/pomp/data/ewmeas.rda |binary pomp-5.2/pomp/inst/NEWS | 10 ++ pomp-5.2/pomp/inst/NEWS.Rd | 8 + pomp-5.2/pomp/inst/include/pomp.h | 4 pomp-5.2/pomp/man/pStop.Rd | 15 ++- pomp-5.2/pomp/man/traj_match.Rd | 2 pomp-5.2/pomp/man/trajectory.Rd | 2 pomp-5.2/pomp/src/dmeasure.c | 10 +- pomp-5.2/pomp/src/euler.c | 10 +- pomp-5.2/pomp/src/pomp.h | 4 pomp-5.2/pomp/src/skeleton.c | 22 +---- 77 files changed, 404 insertions(+), 357 deletions(-)
Title: Advanced Optimizers for Torch
Description: Optimizers for 'torch' deep learning library. These
functions include recent results published in the literature and are
not part of the optimizers offered in 'torch'. Prospective users
should test these optimizers with their data, since performance
depends on the specific problem being solved. The packages includes
the following optimizers: (a) 'adabelief' by Zhuang et al (2020),
<arXiv:2010.07468>; (b) 'adabound' by Luo et al.(2019),
<arXiv:1902.09843>; (c) 'adahessian' by Yao et al.(2021)
<arXiv:2006.00719>; (d) 'adamw' by Loshchilov & Hutter (2019),
<arXiv:1711.05101>; (e) 'madgrad' by Defazio and Jelassi (2021),
<arXiv:2101.11075>; (f) 'nadam' by Dozat (2019),
<https://openreview.net/pdf/OM0jvwB8jIp57ZJjtNEZ.pdf>; (g) 'qhadam' by
Ma and Yarats(2019), <arXiv:1810.06801>; (h) 'radam' by Liu et al.
(2019), <arXiv:1908.03265>; (i) 'swats' by Shekar and Sochee (2018),
<arXiv:1712.07628>; (j) 'yogi' by Zaheer et al.(2019),
<h [...truncated...]
Author: Gilberto Camara [aut, cre],
Rolf Simoes [aut],
Daniel Falbel [aut],
Felipe Souza [aut]
Maintainer: Gilberto Camara <gilberto.camara.inpe@gmail.com>
Diff between torchopt versions 0.1.3 dated 2023-03-08 and 0.1.4 dated 2023-06-06
DESCRIPTION | 8 ++++---- MD5 | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-)
Title: Tools for Data Splitting
Description: Fast, lightweight toolkit for data splitting. Data sets can
be partitioned into disjoint groups (e.g. into training, validation,
and test) or into (repeated) k-folds for subsequent cross-validation.
Besides basic splits, the package supports stratified, grouped as well
as blocked splitting. Furthermore, cross-validation folds for time
series data can be created. See e.g. Hastie et al. (2001)
<doi:10.1007/978-0-387-84858-7> for the basic background on data
partitioning and cross-validation.
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>
Diff between splitTools versions 1.0.0 dated 2023-04-28 and 1.0.1 dated 2023-06-06
DESCRIPTION | 8 MD5 | 30 +-- NEWS.md | 5 R/create_folds.R | 32 +-- R/create_timefolds.R | 22 +- R/multi_strata.R | 33 +-- R/partition.R | 32 +-- README.md | 19 - inst/doc/splitTools.R | 175 +++++------------ inst/doc/splitTools.Rmd | 239 ++++++------------------ inst/doc/splitTools.html | 458 +++++++++++++++-------------------------------- man/create_folds.Rd | 9 man/create_timefolds.Rd | 16 - man/multi_strata.Rd | 17 + man/partition.Rd | 10 - vignettes/splitTools.Rmd | 239 ++++++------------------ 16 files changed, 460 insertions(+), 884 deletions(-)
Title: Statistical Pattern Recognition and daTing using Archaeological
Artefacts assemblageS
Description: Statistical pattern recognition and dating using archaeological artefacts assemblages.
Package of statistical tools for archaeology.
hclustcompro(perioclust): Bellanger Lise, Coulon Arthur, Husi Philippe (2021, ISBN:978-3-030-60103-4).
mapclust: Bellanger Lise, Coulon Arthur, Husi Philippe (2021) <doi:10.1016/j.jas.2021.105431>.
seriograph: Desachy Bruno (2004) <doi:10.3406/pica.2004.2396>.
cerardat: Bellanger Lise, Husi Philippe (2012) <doi:10.1016/j.jas.2011.06.031>.
Author: Arthur Coulon [aut, cre],
Lise Bellanger [aut],
Philippe Husi [aut],
Bruno Desachy [ctb],
Benjamin Martineau [ctb]
Maintainer: Arthur Coulon <arthur-coulon@outlook.fr>
Diff between SPARTAAS versions 1.2.0 dated 2023-05-31 and 1.2.1 dated 2023-06-06
SPARTAAS-1.2.0/SPARTAAS/README.md |only SPARTAAS-1.2.0/SPARTAAS/man/hclustcompro_detail_resampling.Rd |only SPARTAAS-1.2.1/SPARTAAS/DESCRIPTION | 6 SPARTAAS-1.2.1/SPARTAAS/MD5 | 39 - SPARTAAS-1.2.1/SPARTAAS/NAMESPACE | 2 SPARTAAS-1.2.1/SPARTAAS/R/cerardat.R | 192 ++++---- SPARTAAS-1.2.1/SPARTAAS/R/util.R | 3 SPARTAAS-1.2.1/SPARTAAS/build/partial.rdb |binary SPARTAAS-1.2.1/SPARTAAS/data/datacerardat.RData |binary SPARTAAS-1.2.1/SPARTAAS/inst/shiny-examples/cerardat.app/data/datacerardat.RData |binary SPARTAAS-1.2.1/SPARTAAS/inst/shiny-examples/cerardat.app/server.R | 221 +++++---- SPARTAAS-1.2.1/SPARTAAS/inst/shiny-examples/cerardat.app/ui.R | 29 + SPARTAAS-1.2.1/SPARTAAS/inst/shiny-examples/cerardat.app/www/data_exemple.png |only SPARTAAS-1.2.1/SPARTAAS/inst/shiny-examples/hclustcompro.app/server.R | 10 SPARTAAS-1.2.1/SPARTAAS/inst/shiny-examples/hclustcompro.app/ui.R | 235 ++-------- SPARTAAS-1.2.1/SPARTAAS/inst/shiny-examples/map.app/ui.R | 71 +-- SPARTAAS-1.2.1/SPARTAAS/inst/shiny-examples/serio.app/ui.R | 52 -- SPARTAAS-1.2.1/SPARTAAS/man/cerardat.Rd | 18 SPARTAAS-1.2.1/SPARTAAS/man/cerardat_estim_nf.Rd | 10 SPARTAAS-1.2.1/SPARTAAS/man/extract_results.Rd | 4 SPARTAAS-1.2.1/SPARTAAS/man/hclustcompro.Rd | 2 SPARTAAS-1.2.1/SPARTAAS/man/hclustcompro_select_alpha.Rd | 4 22 files changed, 421 insertions(+), 477 deletions(-)
Title: World Map Data from Natural Earth
Description: Facilitates mapping by making natural earth map data from <https://www.naturalearthdata.com/> more easily available to R users.
Author: Philippe Massicotte [aut, cre]
,
Andy South [aut],
Koen Hufkens [ctb]
Maintainer: Philippe Massicotte <pmassicotte@hotmail.com>
Diff between rnaturalearth versions 0.3.2 dated 2023-01-23 and 0.3.3 dated 2023-06-06
rnaturalearth-0.3.2/rnaturalearth/tools |only rnaturalearth-0.3.3/rnaturalearth/DESCRIPTION | 17 rnaturalearth-0.3.3/rnaturalearth/MD5 | 69 +- rnaturalearth-0.3.3/rnaturalearth/NEWS.md | 5 rnaturalearth-0.3.3/rnaturalearth/R/deprecate_sp.R |only rnaturalearth-0.3.3/rnaturalearth/R/ne_coastline.R | 4 rnaturalearth-0.3.3/rnaturalearth/R/ne_countries.R | 4 rnaturalearth-0.3.3/rnaturalearth/R/ne_download.R | 4 rnaturalearth-0.3.3/rnaturalearth/R/ne_load.R | 19 rnaturalearth-0.3.3/rnaturalearth/R/ne_states.R | 4 rnaturalearth-0.3.3/rnaturalearth/README.md | 27 rnaturalearth-0.3.3/rnaturalearth/build/vignette.rds |binary rnaturalearth-0.3.3/rnaturalearth/data/countries110.rda |binary rnaturalearth-0.3.3/rnaturalearth/data/df_layers_cultural.rda |binary rnaturalearth-0.3.3/rnaturalearth/data/df_layers_physical.rda |binary rnaturalearth-0.3.3/rnaturalearth/inst/doc/language-support.R | 20 rnaturalearth-0.3.3/rnaturalearth/inst/doc/language-support.Rmd | 25 rnaturalearth-0.3.3/rnaturalearth/inst/doc/language-support.html | 325 ++++------ rnaturalearth-0.3.3/rnaturalearth/inst/doc/rnaturalearth.R | 6 rnaturalearth-0.3.3/rnaturalearth/inst/doc/rnaturalearth.Rmd | 6 rnaturalearth-0.3.3/rnaturalearth/inst/doc/rnaturalearth.html | 160 ++-- rnaturalearth-0.3.3/rnaturalearth/inst/doc/what-is-a-country.R | 6 rnaturalearth-0.3.3/rnaturalearth/inst/doc/what-is-a-country.Rmd | 6 rnaturalearth-0.3.3/rnaturalearth/inst/doc/what-is-a-country.html | 155 ++-- rnaturalearth-0.3.3/rnaturalearth/man/countries.Rd | 58 - rnaturalearth-0.3.3/rnaturalearth/man/figures |only rnaturalearth-0.3.3/rnaturalearth/man/ne_file_name.Rd | 80 +- rnaturalearth-0.3.3/rnaturalearth/man/ne_load.Rd | 10 rnaturalearth-0.3.3/rnaturalearth/man/ne_states.Rd | 98 +-- rnaturalearth-0.3.3/rnaturalearth/vignettes/language-support.Rmd | 25 rnaturalearth-0.3.3/rnaturalearth/vignettes/rnaturalearth.Rmd | 6 rnaturalearth-0.3.3/rnaturalearth/vignettes/what-is-a-country.Rmd | 6 32 files changed, 542 insertions(+), 603 deletions(-)
Title: Templated Word and PowerPoint Reporting of 'nlmixr2' Fitting
Results
Description: This allows you to generate reporting workflows around 'nlmixr2' analyses with outputs in Word and PowerPoint. You can specify figures, tables and report structure in a user-definable 'YAML' file. Also you can use the internal functions to access the figures and tables to allow their including in other outputs (e.g. R Markdown).
Author: John Harrold [aut, cre]
Maintainer: John Harrold <john.m.harrold@gmail.com>
Diff between nlmixr2rpt versions 0.1.0 dated 2022-12-05 and 0.2.0 dated 2023-06-06
DESCRIPTION | 12 +- MD5 | 18 +-- NEWS.md | 4 R/build_figures.R | 8 + README.md | 28 +++- inst/doc/Accessing_Figures_and_Tables.html | 88 ++++---------- inst/doc/Reporting_nlmixr_Fit_Results.html | 173 ++++++++--------------------- inst/examples/report_fit_test.yaml | 1 inst/templates/report_fit.yaml | 36 +++--- tests/testthat/test-rptnlmixr.R | 2 10 files changed, 151 insertions(+), 219 deletions(-)
Title: Longitudinal Drift-Diffusion Mixed Models (LDDMM)
Description: Implementation of the drift-diffusion mixed model for category learning as described in Paulon et al. (2021) <doi:10.1080/01621459.2020.1801448>.
Author: Giorgio Paulon [aut, cre],
Abhra Sarkar [aut, ctb]
Maintainer: Giorgio Paulon <giorgio.paulon@utexas.edu>
Diff between lddmm versions 0.3.0 dated 2023-03-26 and 0.4.0 dated 2023-06-06
DESCRIPTION | 8 MD5 | 16 R/fcts.R | 1312 ++++++++++++++++++++++++++++++++++-------- README.md | 8 build/vignette.rds |binary inst/doc/minimal_example.R | 3 inst/doc/minimal_example.Rmd | 5 inst/doc/minimal_example.html | 12 vignettes/minimal_example.Rmd | 5 9 files changed, 1124 insertions(+), 245 deletions(-)
Title: Transforms Cumulative Hazards to Parameter Specified by ODE
System
Description: Targets parameters that solve Ordinary Differential
Equations (ODEs) driven by a vector of cumulative hazard functions.
The package provides a method for estimating these parameters using
an estimator defined by a corresponding Stochastic Differential Equation
(SDE) system driven by cumulative hazard estimates. By providing cumulative
hazard estimates as input, the package gives estimates of the parameter as
output, along with pointwise (co)variances derived from an asymptotic
expression. Examples of parameters that can be targeted in this way include
the survival function, the restricted mean survival function, cumulative
incidence functions, among others; see Ryalen, Stensrud, and Røysland (2018)
<doi:10.1093/biomet/asy035>, and further applications in
Stensrud, Røysland, and Ryalen (2019) <doi:10.1111/biom.13102>
and Ryalen et al. (2021) <doi:10.1093/biostatistics/kxab009>.
Author: Pal Christie Ryalen [aut, cre]
Maintainer: Pal Christie Ryalen <p.c.ryalen@medisin.uio.no>
Diff between transform.hazards versions 0.1.0 dated 2022-12-08 and 0.1.1 dated 2023-06-06
transform.hazards-0.1.0/transform.hazards/vignettes/Figs/unnamed-chunk-12-1.png |only transform.hazards-0.1.0/transform.hazards/vignettes/Figs/unnamed-chunk-13-1_BACKUP_13608.png |only transform.hazards-0.1.0/transform.hazards/vignettes/Figs/unnamed-chunk-13-1_BASE_13608.png |only transform.hazards-0.1.0/transform.hazards/vignettes/Figs/unnamed-chunk-13-1_LOCAL_13608.png |only transform.hazards-0.1.0/transform.hazards/vignettes/Figs/unnamed-chunk-13-1_REMOTE_13608.png |only transform.hazards-0.1.1/transform.hazards/DESCRIPTION | 6 transform.hazards-0.1.1/transform.hazards/MD5 | 36 transform.hazards-0.1.1/transform.hazards/NAMESPACE | 6 transform.hazards-0.1.1/transform.hazards/R/pluginEstimate.R | 156 - transform.hazards-0.1.1/transform.hazards/build/vignette.rds |binary transform.hazards-0.1.1/transform.hazards/inst/doc/my-vignette.R | 447 ++- transform.hazards-0.1.1/transform.hazards/inst/doc/my-vignette.Rmd | 716 +++-- transform.hazards-0.1.1/transform.hazards/inst/doc/my-vignette.html | 1365 +++++----- transform.hazards-0.1.1/transform.hazards/inst/examples/pluginEstimate_example.R | 250 - transform.hazards-0.1.1/transform.hazards/man/pluginEstimate.Rd | 324 +- transform.hazards-0.1.1/transform.hazards/vignettes/Figs/unnamed-chunk-13-1.png |binary transform.hazards-0.1.1/transform.hazards/vignettes/Figs/unnamed-chunk-16-1.png |binary transform.hazards-0.1.1/transform.hazards/vignettes/Figs/unnamed-chunk-19-1.png |only transform.hazards-0.1.1/transform.hazards/vignettes/Figs/unnamed-chunk-22-1.png |only transform.hazards-0.1.1/transform.hazards/vignettes/Figs/unnamed-chunk-22-2.png |only transform.hazards-0.1.1/transform.hazards/vignettes/Figs/unnamed-chunk-5-1.png |binary transform.hazards-0.1.1/transform.hazards/vignettes/Figs/unnamed-chunk-9-1.png |binary transform.hazards-0.1.1/transform.hazards/vignettes/my-vignette.Rmd | 716 +++-- 23 files changed, 2437 insertions(+), 1585 deletions(-)
More information about transform.hazards at CRAN
Permanent link
Title: Moment Condition Based Estimation of Linear Dynamic Panel Data
Models
Description: Linear dynamic panel data modeling based on linear and
nonlinear moment conditions as proposed by
Holtz-Eakin, Newey, and Rosen (1988) <doi:10.2307/1913103>,
Ahn and Schmidt (1995) <doi:10.1016/0304-4076(94)01641-C>,
and Arellano and Bover (1995) <doi:10.1016/0304-4076(94)01642-D>.
Estimation of the model parameters relies on the Generalized
Method of Moments (GMM), numerical optimization (when nonlinear
moment conditions are employed) and the computation of closed
form solutions (when estimation is based on linear moment
conditions). One-step, two-step and iterated estimation is
available. For inference and specification
testing, Windmeijer (2005) <doi:10.1016/j.jeconom.2004.02.005>
and doubly corrected standard errors
(Hwang, Kang, Lee, 2021 <doi:10.1016/j.jeconom.2020.09.010>)
are available. Additionally, serial correlation tests, tests for
overidentification, and Wald tests are provided. Functions for
visualizing panel data structures and modeling resu [...truncated...]
Author: Markus Fritsch [aut, cre],
Joachim Schnurbus [aut],
Andrew Adrian Yu Pua [aut]
Maintainer: Markus Fritsch <Markus.Fritsch@uni-Passau.de>
Diff between pdynmc versions 0.9.8 dated 2022-08-30 and 0.9.9 dated 2023-06-06
DESCRIPTION | 10 - MD5 | 25 +- NAMESPACE | 7 NEWS.md | 14 + R/cigDemand.R | 2 R/pdynmc_exploratory.R | 286 +++++++++++++++++++++++++++++++++ R/pdynmc_fitMethods.R | 2 build/partial.rdb |binary build/vignette.rds |binary inst/doc/pdynmc-introLong.pdf |binary inst/doc/pdynmc-pres-in-a-nutshell.pdf |binary man/cigDemand.Rd | 2 man/pDensTime.plot.Rd |only vignettes/pdynmc-intro.pdf.asis.txt | 2 14 files changed, 329 insertions(+), 21 deletions(-)
Title: Model Selection with Bayesian Methods and Information Criteria
Description: Model selection and averaging for regression and mixtures, inclusing Bayesian model selection and information criteria (BIC, EBIC, AIC, GIC).
Author: David Rossell, John D. Cook, Donatello Telesca, P. Roebuck, Oriol Abril, Miquel Torrens
Maintainer: David Rossell <rosselldavid@gmail.com>
Diff between mombf versions 3.3.1 dated 2023-02-07 and 3.4.0 dated 2023-06-06
ChangeLog | 9 ++++++ DESCRIPTION | 20 +++++++-------- MD5 | 22 +++++++++------- NAMESPACE | 4 +++ R/AllClasses.R | 7 +++++ R/AllGenerics.R | 8 ++++++ R/localnulltest.R |only R/modelSelection.R | 67 +++++++++++++++++++++++++++++++++++++++++++++++++++ R/rmom.R | 7 +++-- README.md | 17 ++++-------- inst/doc/mombf.pdf |binary man/localnulltest.Rd |only man/postProb.Rd | 15 +++++++++-- 13 files changed, 139 insertions(+), 37 deletions(-)
Title: Family of Bayesian EMM Algorithm for Item Response Models
Description: Applying the family of the Bayesian Expectation-Maximization-Maximization (BEMM) algorithm to estimate: (1) Three parameter logistic (3PL) model proposed by Birnbaum (1968, ISBN:9780201043105); (2) four parameter logistic (4PL) model proposed by Barton & Lord (1981) <doi:10.1002/j.2333-8504.1981.tb01255.x>; (3) one parameter logistic guessing (1PLG) and (4) one parameter logistic ability-based guessing (1PLAG) models proposed by San Martín et al (2006) <doi:10.1177/0146621605282773>. The BEMM family includes (1) the BEMM algorithm for 3PL model proposed by Guo & Zheng (2019) <doi:10.3389/fpsyg.2019.01175>; (2) the BEMM algorithm for 1PLG model and (3) the BEMM algorithm for 1PLAG model proposed by Guo, Wu, Zheng, & Chen (2021) <doi:10.1177/0146621621990761>; (4) the BEMM algorithm for 4PL model proposed by Zheng, Guo, & Kern (2021) <doi:10.1177/21582440211052556>; and (5) their maximum likelihood estimation versions proposed by Zheng, Meng, [...truncated...]
Author: Shaoyang Guo [aut, cre, cph],
Chanjin Zheng [aut],
Justin L Kern [aut]
Maintainer: Shaoyang Guo <syguo1992@outlook.com>
Diff between IRTBEMM versions 1.0.7 dated 2020-11-10 and 1.0.8 dated 2023-06-06
DESCRIPTION | 10 +++++----- MD5 | 10 +++++----- NEWS.md | 3 +++ README.md | 17 +++++++++-------- build/partial.rdb |binary inst/CITATION | 8 ++++---- 6 files changed, 26 insertions(+), 22 deletions(-)
Title: Setting the Critical Path in Project Management
Description: Solving the problem of project management using CPM (Critical Path Method), PERT (Program Evaluation and Review Technique) and LESS (Least Cost Estimating and Scheduling) methods. The package sets the critical path, schedule and Gantt chart. In addition, it allows to draw a graph even with marked critical activities. For more information about project management see: Taha H. A. "Operations Research. An Introduction" (2017, ISBN:978-1-292-16554-7), Rama Murthy P. "Operations Research" (2007, ISBN:978-81-224-2944-2), Yuval Cohen & Arik Sadeh (2006) "A New Approach for Constructing and Generating AOA Networks", Journal of Engineering, Computing and Architecture 1. 1-13, Konarzewska I., Jewczak M., Kucharski A. (2020, ISBN:978-83-8220-112-3), Miszczyńska D., Miszczyński M. "Wybrane metody badań operacyjnych" (2000, ISBN:83-907712-0-9).
Author: Adam Kucharski
Maintainer: Adam Kucharski <aqcharski@interia.pl>
Diff between critpath versions 0.2.0 dated 2023-04-27 and 0.2.1 dated 2023-06-06
DESCRIPTION | 10 +- MD5 | 20 ++-- NEWS | 3 R/criticalpath_methodsAOE.R | 109 ++++++++++++++++++++- build/vignette.rds |binary inst/doc/CPMandPERT.Rmd | 2 inst/doc/CPMandPERT.html | 219 ++++++++++++++++++++++---------------------- inst/doc/Introduction.html | 14 +- inst/doc/LESS.html | 76 +++++++-------- man/solve_pathAOA.Rd | 13 ++ vignettes/CPMandPERT.Rmd | 2 11 files changed, 289 insertions(+), 179 deletions(-)
Title: Bayesian Inference and Model Selection for Stochastic Epidemics
Description: Bayesian analysis for stochastic extensions of non-linear
dynamic systems using advanced computational algorithms. Described in Bouranis, L.,
Demiris, N., Kalogeropoulos, K., and Ntzoufras, I. (2022) <arXiv:2211.15229>.
Author: Lampros Bouranis [aut, cre, cph]
,
European Union [fnd]
Maintainer: Lampros Bouranis <bernadette.aueb@gmail.com>
Diff between Bernadette versions 1.1.3 dated 2023-05-30 and 1.1.4 dated 2023-06-06
DESCRIPTION | 14 MD5 | 56 - R/aggregate_ifr_react.R | 6 R/data.R | 43 + R/posterior_contactmatrix.R | 24 R/posterior_infections.R | 86 +- R/posterior_mortality.R | 50 - R/posterior_rt.R | 47 - R/posterior_transmrate.R | 49 - R/stan_igbm.R | 35 R/stan_igbm.fit.R | 16 R/summary.stangbm.R | 25 data/age_specific_cusum_infection_counts.rda |only inst/doc/Bernadette.html | 2 inst/stan/igbm.stan | 99 +- man/age_specific_cusum_infection_counts.Rd |only man/age_specific_infection_counts.Rd | 4 man/age_specific_mortality_counts.Rd | 10 man/plot_posterior_cm.Rd | 24 man/plot_posterior_infections.Rd | 26 man/plot_posterior_mortality.Rd | 22 man/plot_posterior_rt.Rd | 30 man/plot_posterior_transmrate.Rd | 24 man/posterior_infections.Rd | 24 man/posterior_mortality.Rd | 20 man/posterior_rt.Rd | 20 man/posterior_transmrate.Rd | 20 man/stan_igbm.Rd | 30 man/summary.stanigbm.Rd | 25 src/stanExports_igbm.h | 959 ++++++++++++++++----------- 30 files changed, 1082 insertions(+), 708 deletions(-)
Title: Correspondence Analysis with Geometric Frequency Interpretation
Description: Performs Correspondence Analysis on the given dataframe and plots the results in a scatterplot that emphasizes the geometric interpretation aspect of the analysis, following Borg-Groenen (2005) and Yelland (2010). It is particularly useful for highlighting the relationships between a selected row (or column) category and the column (or row) categories. See Borg-Groenen (2005, ISBN:978-0-387-28981-6); Yelland (2010) <doi:10.3888/tmj.12-4>.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>
Diff between caplot versions 0.1 dated 2023-05-26 and 0.2 dated 2023-06-06
DESCRIPTION | 8 +++--- MD5 | 12 ++++++---- NEWS.md |only R/borggroenen.r |only R/ca_plot.R | 61 ++++++++++++++++++++++++++++++++++++--------------- README.md | 2 - data/borggroenen.rda |only man/borggroenen.Rd |only man/caplot.Rd | 46 ++++++++++++++++++++++++++++---------- 9 files changed, 91 insertions(+), 38 deletions(-)
Title: Automate Package and Project Setup
Description: Automate package and project setup tasks that are otherwise
performed manually. This includes setting up unit testing, test
coverage, continuous integration, Git, 'GitHub', licenses, 'Rcpp',
'RStudio' projects, and more.
Author: Hadley Wickham [aut] ,
Jennifer Bryan [aut, cre] ,
Malcolm Barrett [aut] ,
Andy Teucher [aut] ,
Posit Software, PBC [cph, fnd]
Maintainer: Jennifer Bryan <jenny@posit.co>
Diff between usethis versions 2.1.6 dated 2022-05-25 and 2.2.0 dated 2023-06-06
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Title: Fast Approximate Shapley Values
Description: Computes fast (relative to other implementations) approximate
Shapley values for any supervised learning model. Shapley values help to
explain the predictions from any black box model using ideas from game
theory; see Strumbel and Kononenko (2014) <doi:10.1007/s10115-013-0679-x>
for details.
Author: Brandon Greenwell [aut, cre]
Maintainer: Brandon Greenwell <greenwell.brandon@gmail.com>
Diff between fastshap versions 0.0.7 dated 2021-12-06 and 0.1.0 dated 2023-06-06
fastshap-0.0.7/fastshap/R/autoplot.R |only fastshap-0.0.7/fastshap/R/force_plot.R |only fastshap-0.0.7/fastshap/inst/tinytest/test_copy_classes.R |only fastshap-0.0.7/fastshap/inst/tinytest/test_fastshap.R |only fastshap-0.0.7/fastshap/inst/tinytest/test_fastshap_adjust.R |only fastshap-0.0.7/fastshap/inst/tinytest/test_fastshap_exact.R |only fastshap-0.0.7/fastshap/inst/tinytest/test_fastshap_matrix.R |only fastshap-0.0.7/fastshap/inst/tinytest/test_fastshap_titanic.R |only fastshap-0.0.7/fastshap/inst/tinytest/test_force_plot.R |only fastshap-0.0.7/fastshap/man/autoplot.explain.Rd |only fastshap-0.0.7/fastshap/man/forceplot.Rd |only fastshap-0.0.7/fastshap/man/grid.arrange.Rd |only fastshap-0.0.7/fastshap/tools |only fastshap-0.1.0/fastshap/DESCRIPTION | 23 fastshap-0.1.0/fastshap/MD5 | 63 fastshap-0.1.0/fastshap/NAMESPACE | 21 fastshap-0.1.0/fastshap/NEWS.md | 38 fastshap-0.1.0/fastshap/R/data.R |only fastshap-0.1.0/fastshap/R/explain.R | 441 fastshap-0.1.0/fastshap/R/gen_friedman.R | 15 fastshap-0.1.0/fastshap/R/print.R |only fastshap-0.1.0/fastshap/R/utils.R | 343 fastshap-0.1.0/fastshap/build |only fastshap-0.1.0/fastshap/data |only fastshap-0.1.0/fastshap/inst/doc |only fastshap-0.1.0/fastshap/inst/tinytest/lightgbm.model | 6073 ---------- fastshap-0.1.0/fastshap/inst/tinytest/test-adjust.R |only fastshap-0.1.0/fastshap/inst/tinytest/test-baseline.R |only fastshap-0.1.0/fastshap/inst/tinytest/test-convergence.R |only fastshap-0.1.0/fastshap/inst/tinytest/test-copy-classes.R |only fastshap-0.1.0/fastshap/inst/tinytest/test-exact.R |only fastshap-0.1.0/fastshap/inst/tinytest/test-fastshap-vs-other-pkgs.R |only fastshap-0.1.0/fastshap/inst/tinytest/test-genOMat.R |only fastshap-0.1.0/fastshap/inst/tinytest/test-shapviz.R |only fastshap-0.1.0/fastshap/man/explain.Rd | 169 fastshap-0.1.0/fastshap/man/fastshap-package.Rd | 3 fastshap-0.1.0/fastshap/man/figures/ames-explain-global-parallel-dependence-1.png |only fastshap-0.1.0/fastshap/man/figures/ames-explain-global-parallel-importance-1.png |only fastshap-0.1.0/fastshap/man/figures/titanic-explain-global-dependence-1.png |only fastshap-0.1.0/fastshap/man/figures/titanic-explain-global-importance-1.png |only fastshap-0.1.0/fastshap/man/figures/titanic-explain-jack-force-1.png |only fastshap-0.1.0/fastshap/man/figures/titanic-explain-jack-waterfall-1.png |only fastshap-0.1.0/fastshap/man/gen_friedman.Rd | 8 fastshap-0.1.0/fastshap/man/titanic.Rd |only fastshap-0.1.0/fastshap/man/titanic_mice.Rd |only fastshap-0.1.0/fastshap/src/Makevars | 1 fastshap-0.1.0/fastshap/src/Makevars.win | 1 fastshap-0.1.0/fastshap/vignettes |only 48 files changed, 1414 insertions(+), 5785 deletions(-)
Title: Brainerd-Robinson Similarity Coefficient Matrix
Description: Provides the facility to calculate the Brainerd-Robinson similarity coefficient for the rows of an input table, and to calculate the significance of each coefficient based on a permutation approach; optionally, hierarchical agglomerative clustering can be performed and the silhouette method is used to identify an optimal number of clusters.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>
Diff between brsim versions 0.1 dated 2023-05-15 and 0.2 dated 2023-06-06
DESCRIPTION | 10 - MD5 | 9 NEWS.md |only R/brsim.r | 545 +++++++++++++++++++++++++++++++++-------------------------- README.md | 3 man/brsim.Rd | 68 +++++-- 6 files changed, 368 insertions(+), 267 deletions(-)
Title: Clustering Method Based on Boxplot Statistics
Description: Following Arroyo-Maté-Roque (2006), the function calculates the distance between rows or columns of the dataset using the generalized Minkowski metric as described by Ichino-Yaguchi (1994). The distance measure gives more weight to differences between quartiles than to differences between extremes, making it less sensitive to outliers. Further,the function calculates the silhouette width (Rousseeuw 1987) for different numbers of clusters and selects the number of clusters that maximizes the average silhouette width, unless a specific number of clusters is provided by the user. The approach implemented in this package is based on the following publications: Rousseeuw (1987) <doi:10.1016/0377-0427(87)90125-7>; Ichino-Yaguchi (1994) <doi:10.1109/21.286391>; Arroyo-Maté-Roque (2006) <doi:10.1007/3-540-34416-0_7>.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>
Diff between boxplotcluster versions 0.1 dated 2023-05-24 and 0.2 dated 2023-06-06
DESCRIPTION | 12 +++---- MD5 | 9 ++--- NEWS.md |only R/boxplotcluster.R | 85 +++++++++++++++++++++++++++++++++++++++++++++----- README.md | 3 + man/boxplotcluster.Rd | 48 ++++++++++++++++++++++++---- 6 files changed, 132 insertions(+), 25 deletions(-)
More information about boxplotcluster at CRAN
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Title: Hydro-Meteorology Time-Series
Description: Functions for the management and treatment of hydrology and
meteorology time-series stored in a 'Sqlite' data base.
Author: Pierre Chevallier [aut, cre]
Maintainer: Pierre Chevallier <pierre.chevallier@mailo.com>
Diff between htsr versions 1.2.0 dated 2022-12-23 and 2.0.0 dated 2023-06-06
DESCRIPTION | 17 ++++--- MD5 | 43 +++++++++++-------- NAMESPACE | 3 + R/RcppExports.R |only R/d_convert_weewx.R | 12 ++--- R/d_wind.R | 21 ++++----- R/h_common.R | 37 ++++++---------- R/h_timestep.R | 96 +++++++++++++++---------------------------- R/htsr-package.R |only R/p_scatter.R | 45 ++++++++++++-------- build/vignette.rds |binary inst/doc/htsr-package.Rmd | 8 +-- inst/doc/htsr-package.html | 16 +++---- inst/extdata/app_tstep/app.R | 2 inst/extdata/settings.RData |binary man/d_convert_weewx.Rd | 12 ++--- man/d_wind.Rd | 10 ++-- man/h_common.Rd | 4 - man/h_timestep.Rd | 4 - man/p_scatter.Rd | 2 man/u_index.Rd |only man/u_timestep.Rd |only src |only vignettes/htsr-package.Rmd | 8 +-- 24 files changed, 163 insertions(+), 177 deletions(-)
More information about WeibullR.learnr at CRAN
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More information about moderate.mediation at CRAN
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Title: Generate Code Lists for the OMOP Common Data Model
Description: Generate a candidate code list for the Observational Medical Outcomes Partnership (OMOP) common data model based on string matching. For a given search strategy, a candidate code list will be returned.
Author: Edward Burn [aut, cre]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>
Diff between CodelistGenerator versions 1.3.0 dated 2023-05-30 and 1.4.0 dated 2023-06-06
DESCRIPTION | 11 +++--- MD5 | 15 +++++---- NAMESPACE | 1 NEWS.md | 3 + R/runSearch.R | 23 ++++++++------ R/summariseCodeUse.R |only inst/doc/a01_Introduction_to_CodelistGenerator.html | 20 ++++++------ inst/doc/a02_Candidate_codes_OA.html | 32 ++++++++++---------- man/summariseCodeUse.Rd |only tests/testthat/test-summariseCodeUse.R |only 10 files changed, 58 insertions(+), 47 deletions(-)
More information about CodelistGenerator at CRAN
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Title: Adjusted Limited Dependent Variable Mixture Models
Description: The goal of the package 'aldvmm' is to fit adjusted limited
dependent variable mixture models of health state utilities. Adjusted
limited dependent variable mixture models are finite mixtures of normal
distributions with an accumulation of density mass at the limits, and a gap
between 100% quality of life and the next smaller utility value. The
package 'aldvmm' uses the likelihood and expected value functions proposed
by Hernandez Alava and Wailoo (2015) <doi:10.1177/1536867X1501500307> using
normal component distributions and a multinomial logit model of
probabilities of component membership.
Author: Mark Pletscher [aut, cre, cph]
Maintainer: Mark Pletscher <pletscher.mark@gmail.com>
Diff between aldvmm versions 0.8.5 dated 2022-10-11 and 0.8.6 dated 2023-06-06
aldvmm-0.8.5/aldvmm/R/validate_aldvmm.R |only aldvmm-0.8.6/aldvmm/DESCRIPTION | 12 aldvmm-0.8.6/aldvmm/MD5 | 172 ++++----- aldvmm-0.8.6/aldvmm/NAMESPACE | 18 aldvmm-0.8.6/aldvmm/NEWS.md | 18 aldvmm-0.8.6/aldvmm/R/aldvmm.R | 191 ++++++---- aldvmm-0.8.6/aldvmm/R/aldvmm.check.R | 53 +- aldvmm-0.8.6/aldvmm/R/aldvmm.cv.R | 56 +- aldvmm-0.8.6/aldvmm/R/aldvmm.ll.R | 6 aldvmm-0.8.6/aldvmm/R/aldvmm.mm.R | 59 --- aldvmm-0.8.6/aldvmm/R/aldvmm.sefit.R | 1 aldvmm-0.8.6/aldvmm/R/aldvmm.sum.R | 161 ++------ aldvmm-0.8.6/aldvmm/R/aldvmm.tm.R |only aldvmm-0.8.6/aldvmm/R/coef.aldvmm.R |only aldvmm-0.8.6/aldvmm/R/estfun.aldvmm.R |only aldvmm-0.8.6/aldvmm/R/model.matrix.aldvmm.R |only aldvmm-0.8.6/aldvmm/R/new_aldvmm.R | 110 ++--- aldvmm-0.8.6/aldvmm/R/nobs.aldvmm.R |only aldvmm-0.8.6/aldvmm/R/predict.aldvmm.R | 53 +- aldvmm-0.8.6/aldvmm/R/print.aldvmm.R |only aldvmm-0.8.6/aldvmm/R/print.summary.aldvmm.R |only aldvmm-0.8.6/aldvmm/R/summary.aldvmm.R | 119 ++++-- aldvmm-0.8.6/aldvmm/R/vcov.aldvmm.R |only aldvmm-0.8.6/aldvmm/build/partial.rdb |binary aldvmm-0.8.6/aldvmm/build/vignette.rds |binary aldvmm-0.8.6/aldvmm/inst/doc/aldvmm_vignette.R | 43 +- aldvmm-0.8.6/aldvmm/inst/doc/aldvmm_vignette.Rmd | 66 ++- aldvmm-0.8.6/aldvmm/inst/doc/aldvmm_vignette.pdf |binary aldvmm-0.8.6/aldvmm/man/aldvmm.Rd | 62 ++- aldvmm-0.8.6/aldvmm/man/aldvmm.check.Rd | 78 ++-- aldvmm-0.8.6/aldvmm/man/aldvmm.cv.Rd | 6 aldvmm-0.8.6/aldvmm/man/aldvmm.gr.Rd | 2 aldvmm-0.8.6/aldvmm/man/aldvmm.init.Rd | 2 aldvmm-0.8.6/aldvmm/man/aldvmm.ll.Rd | 2 aldvmm-0.8.6/aldvmm/man/aldvmm.mm.Rd | 21 - aldvmm-0.8.6/aldvmm/man/aldvmm.sefit.Rd | 7 aldvmm-0.8.6/aldvmm/man/aldvmm.sum.Rd | 81 ---- aldvmm-0.8.6/aldvmm/man/aldvmm.tm.Rd |only aldvmm-0.8.6/aldvmm/man/coef.Rd |only aldvmm-0.8.6/aldvmm/man/estfun.Rd |only aldvmm-0.8.6/aldvmm/man/model.matrix.Rd |only aldvmm-0.8.6/aldvmm/man/nobs.Rd |only aldvmm-0.8.6/aldvmm/man/predict.Rd | 8 aldvmm-0.8.6/aldvmm/man/print.Rd |only aldvmm-0.8.6/aldvmm/man/print.summary.Rd |only aldvmm-0.8.6/aldvmm/man/summary.Rd | 59 ++- aldvmm-0.8.6/aldvmm/man/vcov.Rd |only aldvmm-0.8.6/aldvmm/tests/testthat/test.aldvmm.R | 4 aldvmm-0.8.6/aldvmm/tests/testthat/test.aldvmm.check.R | 39 +- aldvmm-0.8.6/aldvmm/tests/testthat/test.aldvmm.cv.R | 61 --- aldvmm-0.8.6/aldvmm/tests/testthat/test.aldvmm.gof.R | 6 aldvmm-0.8.6/aldvmm/tests/testthat/test.aldvmm.mm.R | 28 + aldvmm-0.8.6/aldvmm/tests/testthat/test.aldvmm.sefit.R | 10 aldvmm-0.8.6/aldvmm/tests/testthat/test.aldvmm.sum.R | 35 - aldvmm-0.8.6/aldvmm/tests/testthat/test.aldvmm.tm.R |only aldvmm-0.8.6/aldvmm/vignettes/aldvmm_bib.bib | 13 aldvmm-0.8.6/aldvmm/vignettes/aldvmm_vignette.Rmd | 66 ++- aldvmm-0.8.6/aldvmm/vignettes/df.RData |binary aldvmm-0.8.6/aldvmm/vignettes/plot_box_se-eps-converted-to.pdf |binary aldvmm-0.8.6/aldvmm/vignettes/plot_box_se.eps | 35 - aldvmm-0.8.6/aldvmm/vignettes/plot_box_yhat-eps-converted-to.pdf |binary aldvmm-0.8.6/aldvmm/vignettes/plot_box_yhat.eps | 35 - aldvmm-0.8.6/aldvmm/vignettes/plot_comp_mhl1-eps-converted-to.pdf |binary aldvmm-0.8.6/aldvmm/vignettes/plot_comp_mhl2-eps-converted-to.pdf |binary aldvmm-0.8.6/aldvmm/vignettes/plot_comp_mhl3-eps-converted-to.pdf |binary aldvmm-0.8.6/aldvmm/vignettes/plot_comp_pred-eps-converted-to.pdf |binary aldvmm-0.8.6/aldvmm/vignettes/plot_dens_Nelder-Mead-eps-converted-to.pdf |binary aldvmm-0.8.6/aldvmm/vignettes/plot_dens_hjn-eps-converted-to.pdf |binary aldvmm-0.8.6/aldvmm/vignettes/plot_dens_nlminb-eps-converted-to.pdf |binary aldvmm-0.8.6/aldvmm/vignettes/plot_hist_obs-eps-converted-to.pdf |binary aldvmm-0.8.6/aldvmm/vignettes/plot_hist_obs.eps | 1 aldvmm-0.8.6/aldvmm/vignettes/plot_hist_pred-eps-converted-to.pdf |binary aldvmm-0.8.6/aldvmm/vignettes/plot_hist_pred.eps | 1 aldvmm-0.8.6/aldvmm/vignettes/rep_tab_fit.R | 5 aldvmm-0.8.6/aldvmm/vignettes/tab_comp_coef.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_comp_cov.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_comp_ll.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_comp_mae.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_comp_mse.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_comp_time.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_diff_se.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_diff_yhat.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_sum_const.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_sum_cstata.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_sum_cstr.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_sum_mod1.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_sum_mod1bfgs.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_sum_mod1nlminb.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_sum_mod2.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_sum_mod2stata.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_sum_stata1.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_sum_stata2.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_sum_stata3.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_sum_stata4.RData |binary aldvmm-0.8.6/aldvmm/vignettes/tab_sum_tobit.RData |binary aldvmm-0.8.6/aldvmm/vignettes/textout.RData |binary 96 files changed, 969 insertions(+), 836 deletions(-)
Title: Robust Stepwise Split Regularized Regression
Description: Functions to perform robust stepwise split regularized regression. The approach first
uses a robust stepwise algorithm to split the variables into the models of an ensemble.
An adaptive robust regularized estimator is then applied to each subset of predictors
in the models of an ensemble.
Author: Anthony Christidis [aut, cre],
Gabriela Cohen-Freue [aut]
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Diff between robStepSplitReg versions 1.0.0 dated 2023-05-08 and 1.0.1 dated 2023-06-06
DESCRIPTION | 10 +++++----- MD5 | 10 +++++----- NEWS | 7 ++++++- R/robStepSplitReg.R | 11 +++++++---- README.md | 2 +- man/robStepSplitReg.Rd | 5 ++++- 6 files changed, 28 insertions(+), 17 deletions(-)
More information about robStepSplitReg at CRAN
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