Title: Minimization Tool for Pharmacokinetic-Pharmacodynamic Data
Analysis
Description: This is a set of minimization tools (maximum likelihood estimation and least square fitting) to solve examples in the Johan Gabrielsson and Dan Weiner's book "Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications" 5th ed. (ISBN:9198299107). Examples include linear and nonlinear compartmental model, turn-over model, single or multiple dosing bolus/infusion/oral models, allometry, toxicokinetics, reversible metabolism, in-vitro/in-vivo extrapolation, enterohepatic circulation, metabolite modeling, Emax model, inhibitory model, tolerance model, oscillating response model, enantiomer interaction model, effect compartment model, drug-drug interaction model, receptor occupancy model, and rebound phenomena model.
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>
Diff between wnl versions 0.8.0 dated 2024-02-22 and 0.8.1 dated 2024-05-31
wnl-0.8.0/wnl/inst/doc/wnl-manual.pdf |only wnl-0.8.1/wnl/DESCRIPTION | 6 +++--- wnl-0.8.1/wnl/MD5 | 9 ++++----- wnl-0.8.1/wnl/R/BasicUtil.R | 6 ++---- wnl-0.8.1/wnl/R/nlr.R | 1 - wnl-0.8.1/wnl/inst/NEWS.Rd | 5 +++++ 6 files changed, 14 insertions(+), 13 deletions(-)
Title: 'SAS' Linear Model
Description: This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, TTEST, FREQ, and UNIVARIATE. Some R packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that.
Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>
Diff between sasLM versions 0.10.3 dated 2024-05-01 and 0.10.4 dated 2024-05-31
sasLM-0.10.3/sasLM/inst/doc/Report-Different-Simplest2403251100.pdf |only sasLM-0.10.3/sasLM/inst/doc/Report-NOT-OKs2403251100.pdf |only sasLM-0.10.3/sasLM/inst/doc/Validation-Report-GLM-2403251101.pdf |only sasLM-0.10.4/sasLM/DESCRIPTION | 6 ++--- sasLM-0.10.4/sasLM/MD5 | 12 +++++----- sasLM-0.10.4/sasLM/R/g2inv.R | 6 +---- sasLM-0.10.4/sasLM/inst/NEWS.Rd | 7 +++++ sasLM-0.10.4/sasLM/inst/doc/Report-Different-Simplest2406011131.pdf |only sasLM-0.10.4/sasLM/inst/doc/Report-NOT-OKs2406011132.pdf |only sasLM-0.10.4/sasLM/inst/doc/Validation-Report-GLM-2406011134.pdf |only 10 files changed, 17 insertions(+), 14 deletions(-)
Title: Rendering Font into 'data.frame'
Description: Extract glyph information from font data, and translate the
outline curves to flattened paths or tessellated polygons. The converted
data is returned as a 'data.frame' in easy-to-plot format.
Author: Hiroaki Yutani [aut, cre] ,
The authors of the dependency Rust crates [ctb]
Maintainer: Hiroaki Yutani <yutani.ini@gmail.com>
Diff between string2path versions 0.1.6 dated 2023-12-16 and 0.1.7 dated 2024-05-31
string2path-0.1.6/string2path/R/wrappers.R |only string2path-0.1.6/string2path/tools/print_r_version.R |only string2path-0.1.7/string2path/DESCRIPTION | 12 - string2path-0.1.7/string2path/LICENSE.note | 30 --- string2path-0.1.7/string2path/MD5 | 35 ++-- string2path-0.1.7/string2path/NEWS.md | 4 string2path-0.1.7/string2path/R/000-wrappers.R |only string2path-0.1.7/string2path/configure | 15 + string2path-0.1.7/string2path/configure.win | 9 - string2path-0.1.7/string2path/inst/AUTHORS | 62 +++---- string2path-0.1.7/string2path/src/Makevars.in | 18 +- string2path-0.1.7/string2path/src/Makevars.win.in | 5 string2path-0.1.7/string2path/src/init.c | 61 +++---- string2path-0.1.7/string2path/src/rust/Cargo.lock | 147 ++++++------------ string2path-0.1.7/string2path/src/rust/Cargo.toml | 9 - string2path-0.1.7/string2path/src/rust/api.h | 14 - string2path-0.1.7/string2path/src/rust/src/font.rs | 4 string2path-0.1.7/string2path/src/rust/src/lib.rs | 55 ++++-- string2path-0.1.7/string2path/src/rust/src/result.rs | 42 +++-- string2path-0.1.7/string2path/src/rust/vendor.tar.xz |binary 20 files changed, 238 insertions(+), 284 deletions(-)
Title: 'Rcpp' Integration for the 'mlpack' Library
Description: A fast, flexible machine learning library, written in C++, that
aims to provide fast, extensible implementations of cutting-edge
machine learning algorithms. See also Curtin et al. (2023)
<doi:10.21105/joss.05026>.
Author: Yashwant Singh Parihar [aut, ctb, cph],
Ryan Curtin [aut, ctb, cph, cre],
Dirk Eddelbuettel [aut, ctb, cph],
James Balamuta [aut, ctb, cph],
Bill March [ctb, cph],
Dongryeol Lee [ctb, cph],
Nishant Mehta [ctb, cph],
Parikshit Ram [ctb, cph],
James Cl [...truncated...]
Maintainer: Ryan Curtin <ryan@ratml.org>
Diff between mlpack versions 4.3.0.1 dated 2024-02-23 and 4.4.0 dated 2024-05-31
mlpack-4.3.0.1/mlpack/R/inline.R |only mlpack-4.3.0.1/mlpack/inst/include/mlpack/core/kernels/cosine_distance.hpp |only mlpack-4.3.0.1/mlpack/inst/include/mlpack/core/kernels/cosine_distance_impl.hpp |only mlpack-4.3.0.1/mlpack/inst/include/mlpack/core/math/clamp.hpp |only mlpack-4.3.0.1/mlpack/inst/include/mlpack/core/math/lin_alg.hpp |only mlpack-4.3.0.1/mlpack/inst/include/mlpack/core/math/lin_alg_impl.hpp |only mlpack-4.3.0.1/mlpack/inst/include/mlpack/core/math/round.hpp |only mlpack-4.3.0.1/mlpack/inst/include/mlpack/core/std_backport |only mlpack-4.3.0.1/mlpack/inst/include/mlpack/methods/ann/make_alias.hpp |only mlpack-4.4.0/mlpack/DESCRIPTION | 12 mlpack-4.4.0/mlpack/LICENSE | 2 mlpack-4.4.0/mlpack/MD5 | 1236 ++++------ mlpack-4.4.0/mlpack/R/RcppExports.R | 8 mlpack-4.4.0/mlpack/R/adaboost.R | 23 mlpack-4.4.0/mlpack/R/approx_kfn.R | 12 mlpack-4.4.0/mlpack/R/bayesian_linear_regression.R | 12 mlpack-4.4.0/mlpack/R/cf.R | 18 mlpack-4.4.0/mlpack/R/dbscan.R | 12 mlpack-4.4.0/mlpack/R/decision_tree.R | 32 mlpack-4.4.0/mlpack/R/det.R | 12 mlpack-4.4.0/mlpack/R/emst.R | 12 mlpack-4.4.0/mlpack/R/fastmks.R | 12 mlpack-4.4.0/mlpack/R/gmm_generate.R | 12 mlpack-4.4.0/mlpack/R/gmm_probability.R | 12 mlpack-4.4.0/mlpack/R/gmm_train.R | 12 mlpack-4.4.0/mlpack/R/hmm_generate.R | 12 mlpack-4.4.0/mlpack/R/hmm_loglik.R | 12 mlpack-4.4.0/mlpack/R/hmm_train.R | 12 mlpack-4.4.0/mlpack/R/hmm_viterbi.R | 12 mlpack-4.4.0/mlpack/R/hoeffding_tree.R | 12 mlpack-4.4.0/mlpack/R/image_converter.R | 16 mlpack-4.4.0/mlpack/R/kde.R | 12 mlpack-4.4.0/mlpack/R/kernel_pca.R | 26 mlpack-4.4.0/mlpack/R/kfn.R | 12 mlpack-4.4.0/mlpack/R/kmeans.R | 12 mlpack-4.4.0/mlpack/R/knn.R | 12 mlpack-4.4.0/mlpack/R/krann.R | 12 mlpack-4.4.0/mlpack/R/lars.R | 12 mlpack-4.4.0/mlpack/R/linear_regression.R | 12 mlpack-4.4.0/mlpack/R/linear_svm.R | 12 mlpack-4.4.0/mlpack/R/lmnn.R | 12 mlpack-4.4.0/mlpack/R/local_coordinate_coding.R | 12 mlpack-4.4.0/mlpack/R/logistic_regression.R | 23 mlpack-4.4.0/mlpack/R/lsh.R | 12 mlpack-4.4.0/mlpack/R/mean_shift.R | 12 mlpack-4.4.0/mlpack/R/nbc.R | 25 mlpack-4.4.0/mlpack/R/nca.R | 16 mlpack-4.4.0/mlpack/R/nmf.R | 12 mlpack-4.4.0/mlpack/R/package.R | 2 mlpack-4.4.0/mlpack/R/pca.R | 12 mlpack-4.4.0/mlpack/R/perceptron.R | 20 mlpack-4.4.0/mlpack/R/preprocess_binarize.R | 12 mlpack-4.4.0/mlpack/R/preprocess_describe.R | 16 mlpack-4.4.0/mlpack/R/preprocess_one_hot_encoding.R | 12 mlpack-4.4.0/mlpack/R/preprocess_scale.R | 12 mlpack-4.4.0/mlpack/R/preprocess_split.R | 12 mlpack-4.4.0/mlpack/R/radical.R | 12 mlpack-4.4.0/mlpack/R/random_forest.R | 20 mlpack-4.4.0/mlpack/R/softmax_regression.R | 12 mlpack-4.4.0/mlpack/R/sparse_coding.R | 12 mlpack-4.4.0/mlpack/R/test_r_binding.R | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/base.hpp | 22 mlpack-4.4.0/mlpack/inst/include/mlpack/core.hpp | 3 mlpack-4.4.0/mlpack/inst/include/mlpack/core/cereal/template_class_version.hpp |only mlpack-4.4.0/mlpack/inst/include/mlpack/core/cv/k_fold_cv_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/cv/metrics/accuracy_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/cv/metrics/f1_impl.hpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/core/cv/metrics/mse_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/cv/metrics/precision_impl.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/core/cv/metrics/r2_score_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/core/cv/metrics/recall_impl.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/core/cv/metrics/roc_auc_score_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/cv/metrics/silhouette_score_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/data/detect_file_type.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/core/data/detect_file_type_impl.hpp | 31 mlpack-4.4.0/mlpack/inst/include/mlpack/core/data/load.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/core/data/load_image_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/core/data/load_impl.hpp | 121 mlpack-4.4.0/mlpack/inst/include/mlpack/core/data/scaler_methods/max_abs_scaler.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/data/scaler_methods/mean_normalization.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/data/scaler_methods/min_max_scaler.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/data/scaler_methods/pca_whitening.hpp | 5 mlpack-4.4.0/mlpack/inst/include/mlpack/core/data/scaler_methods/zca_whitening.hpp | 3 mlpack-4.4.0/mlpack/inst/include/mlpack/core/data/string_encoding.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/core/data/string_encoding_dictionary.hpp | 16 mlpack-4.4.0/mlpack/inst/include/mlpack/core/data/string_encoding_impl.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/core/data/tokenizers/char_extract.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/data/tokenizers/split_by_any_of.hpp | 16 mlpack-4.4.0/mlpack/inst/include/mlpack/core/data/types_impl.hpp | 20 mlpack-4.4.0/mlpack/inst/include/mlpack/core/dists/diagonal_gaussian_distribution.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/core/dists/diagonal_gaussian_distribution_impl.hpp | 22 mlpack-4.4.0/mlpack/inst/include/mlpack/core/dists/discrete_distribution.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/core/dists/gamma_distribution_impl.hpp | 14 mlpack-4.4.0/mlpack/inst/include/mlpack/core/dists/gaussian_distribution.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/core/dists/gaussian_distribution_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/dists/laplace_distribution.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/dists/laplace_distribution_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/core/dists/regression_distribution.hpp | 38 mlpack-4.4.0/mlpack/inst/include/mlpack/core/dists/regression_distribution_impl.hpp | 27 mlpack-4.4.0/mlpack/inst/include/mlpack/core/kernels/cauchy_kernel.hpp | 5 mlpack-4.4.0/mlpack/inst/include/mlpack/core/kernels/cosine_similarity.hpp |only mlpack-4.4.0/mlpack/inst/include/mlpack/core/kernels/cosine_similarity_impl.hpp |only mlpack-4.4.0/mlpack/inst/include/mlpack/core/kernels/epanechnikov_kernel.hpp | 27 mlpack-4.4.0/mlpack/inst/include/mlpack/core/kernels/epanechnikov_kernel_impl.hpp | 69 mlpack-4.4.0/mlpack/inst/include/mlpack/core/kernels/example_kernel.hpp | 18 mlpack-4.4.0/mlpack/inst/include/mlpack/core/kernels/gaussian_kernel.hpp | 39 mlpack-4.4.0/mlpack/inst/include/mlpack/core/kernels/hyperbolic_tangent_kernel.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/core/kernels/kernels.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/kernels/laplacian_kernel.hpp | 20 mlpack-4.4.0/mlpack/inst/include/mlpack/core/kernels/linear_kernel.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/kernels/polynomial_kernel.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/core/kernels/pspectrum_string_kernel_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/core/kernels/spherical_kernel.hpp | 48 mlpack-4.4.0/mlpack/inst/include/mlpack/core/kernels/triangular_kernel.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/math/ccov.hpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/core/math/ccov_impl.hpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/core/math/columns_to_blocks.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/core/math/columns_to_blocks_impl.hpp | 39 mlpack-4.4.0/mlpack/inst/include/mlpack/core/math/digamma.hpp | 14 mlpack-4.4.0/mlpack/inst/include/mlpack/core/math/log_add_impl.hpp | 9 mlpack-4.4.0/mlpack/inst/include/mlpack/core/math/make_alias.hpp | 164 - mlpack-4.4.0/mlpack/inst/include/mlpack/core/math/math.hpp | 5 mlpack-4.4.0/mlpack/inst/include/mlpack/core/math/multiply_slices_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/core/math/quantile.hpp | 20 mlpack-4.4.0/mlpack/inst/include/mlpack/core/math/rand_vector.hpp |only mlpack-4.4.0/mlpack/inst/include/mlpack/core/math/random.hpp | 49 mlpack-4.4.0/mlpack/inst/include/mlpack/core/math/trigamma.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/math/unwrap_alias.hpp |only mlpack-4.4.0/mlpack/inst/include/mlpack/core/metrics/ip_metric_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/metrics/lmetric_impl.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/core/metrics/mahalanobis_distance_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/tree/ballbound_impl.hpp | 11 mlpack-4.4.0/mlpack/inst/include/mlpack/core/tree/binary_space_tree/binary_space_tree.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/tree/binary_space_tree/binary_space_tree_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/core/tree/binary_space_tree/rp_tree_max_split.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/tree/binary_space_tree/rp_tree_max_split_impl.hpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/core/tree/binary_space_tree/rp_tree_mean_split.hpp | 5 mlpack-4.4.0/mlpack/inst/include/mlpack/core/tree/binary_space_tree/rp_tree_mean_split_impl.hpp | 15 mlpack-4.4.0/mlpack/inst/include/mlpack/core/tree/binary_space_tree/vantage_point_split_impl.hpp | 20 mlpack-4.4.0/mlpack/inst/include/mlpack/core/tree/cellbound_impl.hpp | 36 mlpack-4.4.0/mlpack/inst/include/mlpack/core/tree/cosine_tree/cosine_tree.hpp | 61 mlpack-4.4.0/mlpack/inst/include/mlpack/core/tree/cosine_tree/cosine_tree_impl.hpp | 139 - mlpack-4.4.0/mlpack/inst/include/mlpack/core/tree/cover_tree/cover_tree_impl.hpp | 16 mlpack-4.4.0/mlpack/inst/include/mlpack/core/tree/hollow_ball_bound_impl.hpp | 22 mlpack-4.4.0/mlpack/inst/include/mlpack/core/tree/hrectbound_impl.hpp | 28 mlpack-4.4.0/mlpack/inst/include/mlpack/core/tree/space_split/projection_vector.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/core/util/arma_traits.hpp | 188 + mlpack-4.4.0/mlpack/inst/include/mlpack/core/util/conv_to.hpp |only mlpack-4.4.0/mlpack/inst/include/mlpack/core/util/ens_traits.hpp |only mlpack-4.4.0/mlpack/inst/include/mlpack/core/util/gitversion.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/util/param_data.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/util/params_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/util/sfinae_utility.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/core/util/size_checks.hpp | 51 mlpack-4.4.0/mlpack/inst/include/mlpack/core/util/using.hpp |only mlpack-4.4.0/mlpack/inst/include/mlpack/core/util/version.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/adaboost/adaboost.hpp | 164 + mlpack-4.4.0/mlpack/inst/include/mlpack/methods/adaboost/adaboost_classify_main.cpp | 1 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/adaboost/adaboost_impl.hpp | 415 ++- mlpack-4.4.0/mlpack/inst/include/mlpack/methods/adaboost/adaboost_main.cpp | 30 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/adaboost/adaboost_model_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/adaboost/adaboost_train_main.cpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/amf.hpp | 28 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/amf_impl.hpp | 10 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/init_rules/average_init.hpp | 14 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/init_rules/given_init.hpp | 27 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/init_rules/init_rules.hpp | 1 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/init_rules/merge_init.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/init_rules/no_init.hpp |only mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/init_rules/random_acol_init.hpp | 9 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/init_rules/random_init.hpp | 10 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/termination_policies/complete_incremental_termination.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/termination_policies/max_iteration_termination.hpp | 5 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/termination_policies/simple_residue_termination.hpp | 3 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/termination_policies/simple_tolerance_termination.hpp | 64 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/termination_policies/validation_rmse_termination.hpp | 75 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/update_rules/nmf_als.hpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/update_rules/nmf_mult_dist.hpp | 18 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/update_rules/nmf_mult_div.hpp | 58 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/update_rules/svd_batch_learning.hpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/update_rules/svd_complete_incremental_learning.hpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/amf/update_rules/svd_incomplete_incremental_learning.hpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/bipolar_sigmoid_function.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/elish_function.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/elliot_function.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/gaussian_function.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/gelu_function.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/hyper_sinh_function.hpp | 19 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/identity_function.hpp | 9 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/inverse_quadratic_function.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/lisht_function.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/logistic_function.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/mish_function.hpp | 9 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/multi_quadratic_function.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/poisson1_function.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/quadratic_function.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/rectifier_function.hpp | 26 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/silu_function.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/softplus_function.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/softsign_function.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/spline_function.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/swish_function.hpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/tanh_exponential_function.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/tanh_function.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/ann.hpp | 1 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/augmented/tasks/add_impl.hpp | 9 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/augmented/tasks/copy_impl.hpp | 18 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/augmented/tasks/score_impl.hpp | 5 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/augmented/tasks/sort_impl.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/convolution_rules/fft_convolution.hpp | 73 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/convolution_rules/naive_convolution.hpp | 81 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/convolution_rules/svd_convolution.hpp | 68 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/dists/bernoulli_distribution_impl.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/dists/normal_distribution.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/dists/normal_distribution_impl.hpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/ffn_impl.hpp | 29 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/init_rules/const_init.hpp | 18 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/init_rules/gaussian_init.hpp | 39 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/init_rules/glorot_init.hpp | 73 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/init_rules/he_init.hpp | 22 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/init_rules/kathirvalavakumar_subavathi_init.hpp | 30 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/init_rules/lecun_normal_init.hpp | 26 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/init_rules/nguyen_widrow_init.hpp | 22 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/init_rules/oivs_init.hpp | 22 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/init_rules/orthogonal_init.hpp | 32 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/init_rules/random_init.hpp | 18 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/add.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/add_impl.hpp | 9 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/add_merge.hpp | 1 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/alpha_dropout.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/alpha_dropout_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/batch_norm.hpp | 10 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/batch_norm_impl.hpp | 67 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/concat_impl.hpp | 53 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/concatenate_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/convolution.hpp | 28 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/convolution_impl.hpp | 61 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/dropconnect.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/dropconnect_impl.hpp | 7 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/dropout_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/flexible_relu.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/flexible_relu_impl.hpp | 7 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/grouped_convolution.hpp | 28 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/grouped_convolution_impl.hpp | 58 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/layer.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/layer_norm.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/layer_norm_impl.hpp | 27 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/layer_types.hpp | 1 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/linear.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/linear3d.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/linear3d_impl.hpp | 18 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/linear_impl.hpp | 16 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/linear_no_bias.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/linear_no_bias_impl.hpp | 7 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/log_softmax.hpp | 19 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/log_softmax_impl.hpp | 31 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/lstm.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/lstm_impl.hpp | 81 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/max_pooling.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/mean_pooling.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/multi_layer.hpp | 3 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/multi_layer_impl.hpp | 20 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/multihead_attention.hpp | 5 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/multihead_attention_impl.hpp | 70 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/noisylinear.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/noisylinear_impl.hpp | 39 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/atrous_convolution_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/bicubic_interpolation_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/bilinear_interpolation_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/concat_performance_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/fast_lstm_impl.hpp | 10 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/glimpse.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/glimpse_impl.hpp | 10 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/group_norm_impl.hpp | 18 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/gru_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/hardshrink_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/highway_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/isrlu_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/join_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/lookup_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/lp_pooling.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/lp_pooling_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/minibatch_discrimination_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/positional_encoding_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/recurrent_attention_impl.hpp | 10 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/reinforce_normal_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/reparametrization_impl.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/softshrink_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/spatial_dropout_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/subview.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/transposed_convolution.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/transposed_convolution_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/virtual_batch_norm_impl.hpp | 20 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/not_adapted/weight_norm_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/parametric_relu.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/parametric_relu_impl.hpp | 9 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/radial_basis_function_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/repeat.hpp |only mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/repeat_impl.hpp |only mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/serialization.hpp | 1 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/softmax_impl.hpp | 5 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/layer/softmin_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/binary_cross_entropy_loss_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/cosine_embedding_loss_impl.hpp | 14 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/dice_loss_impl.hpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/earth_mover_distance_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/hinge_embedding_loss_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/hinge_loss_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/kl_divergence_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/l1_loss_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/log_cosh_loss_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/margin_ranking_loss_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/mean_absolute_percentage_error_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/mean_bias_error_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/mean_squared_error_impl.hpp | 3 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/mean_squared_logarithmic_error_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/multilabel_softmargin_loss_impl.hpp | 10 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/negative_log_likelihood_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/poisson_nll_loss.hpp | 3 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/poisson_nll_loss_impl.hpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/sigmoid_cross_entropy_error_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/soft_margin_loss_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/triplet_margin_loss_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/loss_functions/vr_class_reward_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/not_adapted/brnn_impl.hpp | 18 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/not_adapted/gan/gan_impl.hpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/not_adapted/gan/metrics/inception_score_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/not_adapted/gan/wgan_impl.hpp | 10 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/not_adapted/gan/wgangp_impl.hpp | 16 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/not_adapted/rbm/rbm_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/not_adapted/rbm/spike_slab_rbm_impl.hpp | 14 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/regularizer/lregularizer_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/regularizer/orthogonal_regularizer_impl.hpp | 11 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/ann/rnn_impl.hpp | 54 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/approx_kfn/approx_kfn_main.cpp | 9 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/approx_kfn/drusilla_select_impl.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/approx_kfn/qdafn_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression.hpp | 177 + mlpack-4.4.0/mlpack/inst/include/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression_impl.hpp | 323 ++ mlpack-4.4.0/mlpack/inst/include/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression_main.cpp | 21 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/bias_svd/bias_svd.hpp | 14 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/bias_svd/bias_svd_function.hpp | 17 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/bias_svd/bias_svd_function_impl.hpp | 30 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/bias_svd/bias_svd_impl.hpp | 24 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/block_krylov_svd/randomized_block_krylov_svd.hpp | 18 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/block_krylov_svd/randomized_block_krylov_svd_impl.hpp | 41 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/cf/cf_main.cpp | 18 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/cf/decomposition_policies/block_krylov_svd_method.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/cf/decomposition_policies/quic_svd_method.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/cf/decomposition_policies/randomized_svd_method.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/cf/interpolation_policies/regression_interpolation.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/cf/interpolation_policies/similarity_interpolation.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/cf/neighbor_search_policies/cosine_search.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/cf/neighbor_search_policies/pearson_search.hpp | 7 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/cf/normalization/item_mean_normalization.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/cf/normalization/user_mean_normalization.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/cf/svd_wrapper.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/cf/svd_wrapper_impl.hpp | 16 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/dbscan/dbscan.hpp | 23 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/dbscan/dbscan_impl.hpp | 24 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/dbscan/dbscan_main.cpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/decision_tree/all_categorical_split_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/decision_tree/best_binary_numeric_split.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/decision_tree/best_binary_numeric_split_impl.hpp | 54 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/decision_tree/decision_tree.hpp | 45 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/decision_tree/decision_tree_impl.hpp | 78 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/decision_tree/decision_tree_main.cpp | 36 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/decision_tree/decision_tree_regressor.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/decision_tree/decision_tree_regressor_impl.hpp | 25 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/decision_tree/information_gain.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/decision_tree/mad_gain.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/decision_tree/mse_gain.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/decision_tree/random_binary_numeric_split_impl.hpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/det/det_main.cpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/det/dtree.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/det/dtree_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/emst/emst_main.cpp | 3 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/fastmks/fastmks_main.cpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/fastmks/fastmks_model.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/fastmks/fastmks_model_impl.hpp | 22 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/fastmks/fastmks_rules_impl.hpp | 24 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/fastmks/fastmks_stat.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/gmm/diagonal_gmm_impl.hpp | 16 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/gmm/em_fit_impl.hpp | 32 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/gmm/gmm_impl.hpp | 15 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/hmm/hmm_impl.hpp | 19 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/hmm/hmm_train_main.cpp | 18 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/hoeffding_trees/binary_numeric_split_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/hoeffding_trees/gini_impurity.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/hoeffding_trees/hoeffding_categorical_split_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/hoeffding_trees/hoeffding_numeric_split.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/hoeffding_trees/hoeffding_numeric_split_impl.hpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/hoeffding_trees/hoeffding_tree.hpp | 227 + mlpack-4.4.0/mlpack/inst/include/mlpack/methods/hoeffding_trees/hoeffding_tree_impl.hpp | 336 ++ mlpack-4.4.0/mlpack/inst/include/mlpack/methods/hoeffding_trees/hoeffding_tree_main.cpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/hoeffding_trees/hoeffding_tree_model_impl.hpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/hoeffding_trees/information_gain.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/kde/kde_main.cpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/kde/kde_rules_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/kernel_pca/kernel_pca_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/kernel_pca/kernel_pca_main.cpp | 16 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/kernel_pca/kernel_rules/naive_method.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/kernel_pca/kernel_rules/nystroem_method.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/kmeans/elkan_kmeans_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/kmeans/kmeans_main.cpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/kmeans/kmeans_plus_plus_initialization.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/kmeans/pelleg_moore_kmeans_rules_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/lars/lars.hpp | 461 ++- mlpack-4.4.0/mlpack/inst/include/mlpack/methods/lars/lars_impl.hpp | 906 +++++-- mlpack-4.4.0/mlpack/inst/include/mlpack/methods/lars/lars_main.cpp | 17 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/linear_regression/linear_regression.hpp | 162 + mlpack-4.4.0/mlpack/inst/include/mlpack/methods/linear_regression/linear_regression_impl.hpp | 215 + mlpack-4.4.0/mlpack/inst/include/mlpack/methods/linear_regression/linear_regression_main.cpp | 14 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/linear_regression/linear_regression_predict_main.cpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/linear_regression/linear_regression_train_main.cpp | 18 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/linear_svm/linear_svm.hpp | 289 +- mlpack-4.4.0/mlpack/inst/include/mlpack/methods/linear_svm/linear_svm_function.hpp | 65 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/linear_svm/linear_svm_function_impl.hpp | 204 - mlpack-4.4.0/mlpack/inst/include/mlpack/methods/linear_svm/linear_svm_impl.hpp | 258 +- mlpack-4.4.0/mlpack/inst/include/mlpack/methods/linear_svm/linear_svm_main.cpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/lmnn/constraints_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/lmnn/lmnn_function_impl.hpp | 49 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/lmnn/lmnn_main.cpp | 5 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/local_coordinate_coding/lcc.hpp | 38 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/local_coordinate_coding/lcc_impl.hpp | 147 - mlpack-4.4.0/mlpack/inst/include/mlpack/methods/local_coordinate_coding/local_coordinate_coding_main.cpp | 17 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/logistic_regression/logistic_regression.hpp | 262 +- mlpack-4.4.0/mlpack/inst/include/mlpack/methods/logistic_regression/logistic_regression_function.hpp | 47 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/logistic_regression/logistic_regression_function_impl.hpp | 210 + mlpack-4.4.0/mlpack/inst/include/mlpack/methods/logistic_regression/logistic_regression_impl.hpp | 188 + mlpack-4.4.0/mlpack/inst/include/mlpack/methods/logistic_regression/logistic_regression_main.cpp | 37 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/lsh/lsh_main.cpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/lsh/lsh_search_impl.hpp | 26 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/matrix_completion/matrix_completion_impl.hpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/mean_shift/mean_shift_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/mean_shift/mean_shift_main.cpp | 6 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/naive_bayes/naive_bayes_classifier.hpp | 54 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/naive_bayes/naive_bayes_classifier_impl.hpp | 155 - mlpack-4.4.0/mlpack/inst/include/mlpack/methods/naive_bayes/nbc_main.cpp | 37 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/nca/nca_main.cpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/nca/nca_softmax_error_function_impl.hpp | 17 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/neighbor_search/knn_main.cpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/neighbor_search/neighbor_search.hpp | 12 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/neighbor_search/neighbor_search_impl.hpp | 22 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/neighbor_search/neighbor_search_rules.hpp | 5 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/neighbor_search/neighbor_search_rules_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/neighbor_search/ns_model_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/nmf/nmf_main.cpp | 22 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/pca/decomposition_policies/exact_svd_method.hpp | 19 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/pca/decomposition_policies/quic_svd_method.hpp | 19 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/pca/decomposition_policies/randomized_block_krylov_method.hpp | 17 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/pca/decomposition_policies/randomized_svd_method.hpp | 17 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/pca/pca.hpp | 88 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/pca/pca_impl.hpp | 164 - mlpack-4.4.0/mlpack/inst/include/mlpack/methods/perceptron/initialization_methods/random_init.hpp | 5 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/perceptron/initialization_methods/zero_init.hpp | 5 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/perceptron/learning_policies/simple_weight_update.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/perceptron/perceptron.hpp | 94 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/perceptron/perceptron_impl.hpp | 195 + mlpack-4.4.0/mlpack/inst/include/mlpack/methods/perceptron/perceptron_main.cpp | 21 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/preprocess/image_converter_main.cpp | 5 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/preprocess/preprocess_binarize_main.cpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/preprocess/preprocess_describe_main.cpp | 10 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/preprocess/preprocess_one_hot_encoding_main.cpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/preprocess/preprocess_scale_main.cpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/preprocess/preprocess_split_main.cpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/quic_svd/quic_svd.hpp | 27 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/quic_svd/quic_svd_impl.hpp | 56 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/radical/radical_impl.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/radical/radical_main.cpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/random_forest/bootstrap.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/random_forest/random_forest_main.cpp | 18 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/randomized_svd/randomized_svd.hpp | 42 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/randomized_svd/randomized_svd_impl.hpp | 74 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/range_search/range_search.hpp | 16 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/range_search/range_search_impl.hpp | 24 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/range_search/range_search_main.cpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/range_search/range_search_rules.hpp | 39 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/range_search/range_search_rules_impl.hpp | 43 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/rann/ra_search_impl.hpp | 10 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/rann/ra_search_rules.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/rann/ra_search_rules_impl.hpp | 40 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/regularized_svd/regularized_svd_function_impl.hpp | 19 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/ddpg_impl.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/environment/acrobot.hpp | 10 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/environment/cart_pole.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/environment/cont_double_pole_cart.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/environment/continuous_mountain_car.hpp | 11 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/environment/double_pole_cart.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/environment/ftn.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/environment/mountain_car.hpp | 11 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/environment/pendulum.hpp | 7 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/environment/reward_clipping.hpp | 5 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/noise/gaussian.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/noise/ornstein_uhlenbeck.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/q_learning_impl.hpp | 8 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/q_networks/dueling_dqn.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/replay/prioritized_replay.hpp | 4 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/replay/random_replay.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/sac_impl.hpp | 9 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/reinforcement_learning/td3_impl.hpp | 9 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/softmax_regression/softmax_regression.hpp | 244 + mlpack-4.4.0/mlpack/inst/include/mlpack/methods/softmax_regression/softmax_regression_function.hpp | 52 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/softmax_regression/softmax_regression_function_impl.hpp | 164 - mlpack-4.4.0/mlpack/inst/include/mlpack/methods/softmax_regression/softmax_regression_impl.hpp | 306 +- mlpack-4.4.0/mlpack/inst/include/mlpack/methods/softmax_regression/softmax_regression_main.cpp | 19 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/sparse_autoencoder/maximal_inputs_impl.hpp | 9 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/sparse_autoencoder/sparse_autoencoder.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/sparse_autoencoder/sparse_autoencoder_function.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/sparse_autoencoder/sparse_autoencoder_function_impl.hpp | 28 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/sparse_autoencoder/sparse_autoencoder_impl.hpp | 2 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/sparse_coding/data_dependent_random_initializer.hpp | 5 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/sparse_coding/nothing_initializer.hpp | 5 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/sparse_coding/random_initializer.hpp | 5 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/sparse_coding/sparse_coding.hpp | 29 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/sparse_coding/sparse_coding_impl.hpp | 135 - mlpack-4.4.0/mlpack/inst/include/mlpack/methods/sparse_coding/sparse_coding_main.cpp | 18 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/svdplusplus/svdplusplus_function_impl.hpp | 21 mlpack-4.4.0/mlpack/inst/include/mlpack/methods/xgboost/loss_functions/sse_loss.hpp | 11 mlpack-4.4.0/mlpack/inst/include/mlpack/prereqs.hpp | 5 mlpack-4.4.0/mlpack/inst/include/stb |only mlpack-4.4.0/mlpack/man/adaboost.Rd | 11 mlpack-4.4.0/mlpack/man/approx_kfn.Rd | 6 mlpack-4.4.0/mlpack/man/bayesian_linear_regression.Rd | 6 mlpack-4.4.0/mlpack/man/cf.Rd | 12 mlpack-4.4.0/mlpack/man/dbscan.Rd | 6 mlpack-4.4.0/mlpack/man/decision_tree.Rd | 19 mlpack-4.4.0/mlpack/man/det.Rd | 6 mlpack-4.4.0/mlpack/man/emst.Rd | 11 mlpack-4.4.0/mlpack/man/fastmks.Rd | 6 mlpack-4.4.0/mlpack/man/gmm_generate.Rd | 11 mlpack-4.4.0/mlpack/man/gmm_probability.Rd | 10 mlpack-4.4.0/mlpack/man/gmm_train.Rd | 6 mlpack-4.4.0/mlpack/man/hmm_generate.Rd | 12 mlpack-4.4.0/mlpack/man/hmm_loglik.Rd | 6 mlpack-4.4.0/mlpack/man/hmm_train.Rd | 6 mlpack-4.4.0/mlpack/man/hmm_viterbi.Rd | 6 mlpack-4.4.0/mlpack/man/hoeffding_tree.Rd | 6 mlpack-4.4.0/mlpack/man/image_converter.Rd | 6 mlpack-4.4.0/mlpack/man/kde.Rd | 6 mlpack-4.4.0/mlpack/man/kernel_pca.Rd | 20 mlpack-4.4.0/mlpack/man/kfn.Rd | 6 mlpack-4.4.0/mlpack/man/kmeans.Rd | 6 mlpack-4.4.0/mlpack/man/knn.Rd | 6 mlpack-4.4.0/mlpack/man/krann.Rd | 6 mlpack-4.4.0/mlpack/man/lars.Rd | 6 mlpack-4.4.0/mlpack/man/linear_regression.Rd | 6 mlpack-4.4.0/mlpack/man/linear_svm.Rd | 6 mlpack-4.4.0/mlpack/man/lmnn.Rd | 6 mlpack-4.4.0/mlpack/man/local_coordinate_coding.Rd | 6 mlpack-4.4.0/mlpack/man/logistic_regression.Rd | 14 mlpack-4.4.0/mlpack/man/lsh.Rd | 6 mlpack-4.4.0/mlpack/man/mean_shift.Rd | 6 mlpack-4.4.0/mlpack/man/nbc.Rd | 15 mlpack-4.4.0/mlpack/man/nca.Rd | 6 mlpack-4.4.0/mlpack/man/nmf.Rd | 6 mlpack-4.4.0/mlpack/man/pca.Rd | 6 mlpack-4.4.0/mlpack/man/perceptron.Rd | 12 mlpack-4.4.0/mlpack/man/preprocess_binarize.Rd | 11 mlpack-4.4.0/mlpack/man/preprocess_describe.Rd | 6 mlpack-4.4.0/mlpack/man/preprocess_one_hot_encoding.Rd | 10 mlpack-4.4.0/mlpack/man/preprocess_scale.Rd | 6 mlpack-4.4.0/mlpack/man/preprocess_split.Rd | 6 mlpack-4.4.0/mlpack/man/radical.Rd | 6 mlpack-4.4.0/mlpack/man/random_forest.Rd | 10 mlpack-4.4.0/mlpack/man/softmax_regression.Rd | 6 mlpack-4.4.0/mlpack/man/sparse_coding.Rd | 6 mlpack-4.4.0/mlpack/man/test_r_binding.Rd | 6 mlpack-4.4.0/mlpack/src/RcppExports.cpp | 20 mlpack-4.4.0/mlpack/src/adaboost.cpp | 5 mlpack-4.4.0/mlpack/src/approx_kfn.cpp | 5 mlpack-4.4.0/mlpack/src/bayesian_linear_regression.cpp | 29 mlpack-4.4.0/mlpack/src/cf.cpp | 5 mlpack-4.4.0/mlpack/src/dbscan.cpp | 5 mlpack-4.4.0/mlpack/src/decision_tree.cpp | 5 mlpack-4.4.0/mlpack/src/det.cpp | 5 mlpack-4.4.0/mlpack/src/emst.cpp | 5 mlpack-4.4.0/mlpack/src/fastmks.cpp | 5 mlpack-4.4.0/mlpack/src/gmm_generate.cpp | 5 mlpack-4.4.0/mlpack/src/gmm_probability.cpp | 5 mlpack-4.4.0/mlpack/src/gmm_train.cpp | 5 mlpack-4.4.0/mlpack/src/hmm_generate.cpp | 5 mlpack-4.4.0/mlpack/src/hmm_loglik.cpp | 5 mlpack-4.4.0/mlpack/src/hmm_train.cpp | 5 mlpack-4.4.0/mlpack/src/hmm_viterbi.cpp | 5 mlpack-4.4.0/mlpack/src/hoeffding_tree.cpp | 5 mlpack-4.4.0/mlpack/src/image_converter.cpp | 5 mlpack-4.4.0/mlpack/src/kde.cpp | 5 mlpack-4.4.0/mlpack/src/kernel_pca.cpp | 5 mlpack-4.4.0/mlpack/src/kfn.cpp | 5 mlpack-4.4.0/mlpack/src/kmeans.cpp | 5 mlpack-4.4.0/mlpack/src/knn.cpp | 5 mlpack-4.4.0/mlpack/src/krann.cpp | 5 mlpack-4.4.0/mlpack/src/lars.cpp | 29 mlpack-4.4.0/mlpack/src/linear_regression.cpp | 29 mlpack-4.4.0/mlpack/src/linear_svm.cpp | 5 mlpack-4.4.0/mlpack/src/lmnn.cpp | 5 mlpack-4.4.0/mlpack/src/local_coordinate_coding.cpp | 29 mlpack-4.4.0/mlpack/src/logistic_regression.cpp | 5 mlpack-4.4.0/mlpack/src/lsh.cpp | 5 mlpack-4.4.0/mlpack/src/mean_shift.cpp | 5 mlpack-4.4.0/mlpack/src/mlpack/bindings/R/get_param.hpp | 2 mlpack-4.4.0/mlpack/src/mlpack/bindings/R/get_printable_param.hpp | 10 mlpack-4.4.0/mlpack/src/mlpack/bindings/R/print_doc.hpp | 17 mlpack-4.4.0/mlpack/src/mlpack/bindings/R/print_input_param.hpp | 15 mlpack-4.4.0/mlpack/src/mlpack/bindings/R/tests/test_r_binding_main.cpp | 3 mlpack-4.4.0/mlpack/src/nbc.cpp | 5 mlpack-4.4.0/mlpack/src/nca.cpp | 5 mlpack-4.4.0/mlpack/src/nmf.cpp | 5 mlpack-4.4.0/mlpack/src/pca.cpp | 5 mlpack-4.4.0/mlpack/src/perceptron.cpp | 5 mlpack-4.4.0/mlpack/src/preprocess_binarize.cpp | 5 mlpack-4.4.0/mlpack/src/preprocess_describe.cpp | 5 mlpack-4.4.0/mlpack/src/preprocess_one_hot_encoding.cpp | 5 mlpack-4.4.0/mlpack/src/preprocess_scale.cpp | 5 mlpack-4.4.0/mlpack/src/preprocess_split.cpp | 5 mlpack-4.4.0/mlpack/src/r_util.cpp | 14 mlpack-4.4.0/mlpack/src/radical.cpp | 5 mlpack-4.4.0/mlpack/src/random_forest.cpp | 5 mlpack-4.4.0/mlpack/src/rcpp_mlpack.h | 3 mlpack-4.4.0/mlpack/src/softmax_regression.cpp | 29 mlpack-4.4.0/mlpack/src/sparse_coding.cpp | 29 mlpack-4.4.0/mlpack/src/test_r_binding.cpp | 5 mlpack-4.4.0/mlpack/tests/testthat/test-R_binding.R | 42 624 files changed, 9605 insertions(+), 5958 deletions(-)
Title: Machine Learning
Description: Machine learning, containing several algorithms for supervised and unsupervised classification, in addition to a function that plots the Receiver Operating Characteristic (ROC) and Precision-Recall (PRC) curve graphs, and also a function that returns several metrics used for model evaluation, the latter can be used in ranking results from other packs.
Author: Paulo Cesar Ossani [aut, cre]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>
Diff between Kira versions 1.0.1 dated 2023-09-02 and 1.0.2 dated 2024-05-31
DESCRIPTION | 8 ++++---- MD5 | 32 +++++++++++++++++--------------- NAMESPACE | 9 ++++++--- R/elbow.R |only R/hierarchical.R | 23 ++++++++++++++++++----- R/knn.R | 11 ++++++++--- R/lda.R | 3 ++- R/plot_curve.R | 12 ++++++++++-- R/qda.R | 5 +++-- R/results.R | 19 ++++++++++++++++--- man/Kira-package.Rd | 32 ++++++++++++++++++++------------ man/elbow.Rd |only man/knn.Rd | 7 +++++-- man/lda.Rd | 6 ++++++ man/plot_curve.Rd | 8 ++++++-- man/qda.Rd | 6 ++++++ man/regression.Rd | 7 +++++-- man/results.Rd | 12 +++++++++--- 18 files changed, 141 insertions(+), 59 deletions(-)
Title: A Streamlined Access to Cryptocurrency OHLC-V Market Data and
Sentiment Indicators
Description: This high-level API client offers a streamlined access to public cryptocurrency market data and sentiment indicators. It features OHLC-V (Open, High, Low, Close, Volume) that comes
with granularity ranging from seconds to months and essential sentiment indicators to develop and backtest trading strategies, or conduct detailed market analysis. By interacting directly with
the major cryptocurrency exchanges this package ensures a reliable, and stable, flow of market information, eliminating the need for complex, low-level API interactions or webcrawlers.
Author: Serkan Korkmaz [cre, aut, ctb, cph]
,
Jonas Cuzulan Hirani [ctb]
Maintainer: Serkan Korkmaz <serkor1@duck.com>
Diff between cryptoQuotes versions 1.3.0 dated 2024-03-12 and 1.3.1 dated 2024-05-31
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cryptoQuotes-1.3.1/cryptoQuotes/build/vignette.rds |binary cryptoQuotes-1.3.1/cryptoQuotes/data/ATOM.rda |binary cryptoQuotes-1.3.1/cryptoQuotes/data/BTC.rda |binary cryptoQuotes-1.3.1/cryptoQuotes/data/DOGE.rda |binary cryptoQuotes-1.3.1/cryptoQuotes/data/FGIndex.rda |binary cryptoQuotes-1.3.1/cryptoQuotes/inst/doc/cryptoQuotes.R | 243 cryptoQuotes-1.3.1/cryptoQuotes/inst/doc/cryptoQuotes.Rmd | 357 cryptoQuotes-1.3.1/cryptoQuotes/inst/doc/cryptoQuotes.html | 4914 +++++----- cryptoQuotes-1.3.1/cryptoQuotes/inst/doc/custom_indicators.R |only cryptoQuotes-1.3.1/cryptoQuotes/inst/doc/custom_indicators.Rmd |only cryptoQuotes-1.3.1/cryptoQuotes/inst/doc/custom_indicators.html |only cryptoQuotes-1.3.1/cryptoQuotes/inst/doc/usecase.R |only cryptoQuotes-1.3.1/cryptoQuotes/inst/doc/usecase.Rmd |only cryptoQuotes-1.3.1/cryptoQuotes/inst/doc/usecase.html |only cryptoQuotes-1.3.1/cryptoQuotes/man/ATOM.Rd | 70 cryptoQuotes-1.3.1/cryptoQuotes/man/BTC.Rd | 70 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cryptoQuotes-1.3.1/cryptoQuotes/tests/testthat/test-kraken.R |only cryptoQuotes-1.3.1/cryptoQuotes/vignettes/cryptoQuotes.Rmd | 357 cryptoQuotes-1.3.1/cryptoQuotes/vignettes/custom_indicators.Rmd |only cryptoQuotes-1.3.1/cryptoQuotes/vignettes/usecase.Rmd |only 166 files changed, 16399 insertions(+), 15211 deletions(-)
Title: Randomization Inference Tools
Description: Tools for randomization-based inference. Current focus is on the d^2 omnibus test of differences of means following Hansen and Bowers (2008) <doi:10.1214/08-STS254> . This test is useful for assessing balance in matched observational studies or for analysis of outcomes in block-randomized experiments.
Author: Jake Bowers [aut, cre],
Mark Fredrickson [aut],
Ben Hansen [aut],
Josh Errickson [ctb]
Maintainer: Jake Bowers <jwbowers@illinois.edu>
Diff between RItools versions 0.3-3 dated 2023-03-10 and 0.3-4 dated 2024-05-31
DESCRIPTION | 8 - MD5 | 18 +-- NAMESPACE | 2 NEWS.md | 4 R/Design.R | 10 - R/utils.R | 193 +++++++++++++++++++------------------- README.md | 2 man/CovsAlignedToADesign-class.Rd | 6 - man/DesignWeights.Rd | 4 tests/testthat/test.utils.R | 23 ++-- 10 files changed, 141 insertions(+), 129 deletions(-)
Title: Spatial Dependence: Weighting Schemes, Statistics
Description: A collection of functions to create spatial weights matrix
objects from polygon 'contiguities', from point patterns by distance and
tessellations, for summarizing these objects, and for permitting their
use in spatial data analysis, including regional aggregation by minimum
spanning tree; a collection of tests for spatial 'autocorrelation',
including global 'Morans I' and 'Gearys C' proposed by 'Cliff' and 'Ord'
(1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel'
general cross product statistic, Empirical Bayes estimates and
'Assunção/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992)
<doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured
join count statistics, 'APLE' ('Li 'et al.' )
<doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I', 'Gearys C'
('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and
'Getis/Ord' G ('Ord' and 'Getis' 1995)
< [...truncated...]
Author: Roger Bivand [cre, aut] ,
Micah Altman [ctb],
Luc Anselin [ctb],
Renato Assuncao [ctb],
Anil Bera [ctb],
Olaf Berke [ctb],
F. Guillaume Blanchet [ctb],
Marilia Carvalho [ctb],
Bjarke Christensen [ctb],
Yongwan Chun [ctb],
Carsten Dormann [ctb],
Steph [...truncated...]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>
Diff between spdep versions 1.3-3 dated 2024-02-07 and 1.3-4 dated 2024-05-31
DESCRIPTION | 8 +++--- MD5 | 38 +++++++++++++++--------------- NEWS.md | 14 ++++++++++- R/geary.R | 29 +++++++++++++--------- R/knearneigh.R | 4 ++- R/lm.RStests.R | 9 +++++-- R/nb2lines.R | 5 ++- R/plot.nb.R | 6 +++- build/partial.rdb |binary build/vignette.rds |binary inst/doc/CO69.html | 12 ++++----- inst/doc/nb.html | 10 +++---- inst/doc/nb_sf.html | 30 +++++++++++------------ inst/doc/sids.html | 22 ++++++++--------- inst/tinytest/test_geary_scale.R |only inst/tinytest/test_lmRStests_test_names.R |only man/geary.Rd | 3 +- man/geary.mc.Rd | 6 +++- man/geary.test.Rd | 4 ++- man/knearneigh.Rd | 2 - man/lm.morantest.exact.Rd | 3 -- 21 files changed, 119 insertions(+), 86 deletions(-)
Title: Datasets for Spatial Analysis
Description: Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis.
It includes R data of class sf (defined by the package 'sf'), Spatial ('sp'), and nb ('spdep').
Unlike other spatial data packages such as 'rnaturalearth' and 'maps',
it also contains data stored in a range of file formats including GeoJSON, ESRI Shapefile and GeoPackage.
Some of the datasets are designed to illustrate specific analysis techniques.
cycle_hire() and cycle_hire_osm(), for example, is designed to illustrate point pattern analysis techniques.
Author: Roger Bivand [aut] ,
Jakub Nowosad [aut, cre] ,
Robin Lovelace [aut] ,
Angelos Mimis [ctb],
Mark Monmonier [ctb] ,
Greg Snow [ctb]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>
Diff between spData versions 2.3.0 dated 2023-07-05 and 2.3.1 dated 2024-05-31
DESCRIPTION | 10 +-- MD5 | 136 +++++++++++++++++++++-------------------- R/afcon.R | 10 +-- R/alaska.R | 16 ++-- R/auckland.R | 17 ++--- R/baltimore.R | 34 +++++----- R/boston.R | 91 +++++++++++---------------- R/coffee_data.R | 10 +-- R/columbus.R | 46 ++++++------- R/congruent.R | 4 - R/cycle_hire.R | 12 +-- R/cycle_hire_osm.R | 12 +-- R/depmunic.R | 14 ++-- R/eire.R | 35 ++++------ R/elect80.R | 14 ++-- R/getisord.R | 8 +- R/hawaii.R | 14 ++-- R/house.R | 48 +++++++------- R/huddersfield.R | 4 - R/jenks71.R | 4 - R/lnd.R | 16 ++-- R/nc.sids.R | 52 +++++++-------- R/nydata.R | 38 ++++++----- R/nz.R | 14 ++-- R/nz_height.R | 6 - R/properties.R | 12 +-- R/seine.R | 4 - R/urban_agglomerations.R | 10 +-- R/us_states.R | 14 ++-- R/us_states_df.R | 10 +-- R/used.cars.R | 45 +++++++------ R/wheat.R | 17 +++-- R/world.R | 22 +++--- R/worldbank_df.R | 14 ++-- inst/shapes/auckland.gpkg |only inst/shapes/boston_tracts.gpkg |only inst/shapes/columbus.gpkg |only inst/shapes/eire.gpkg |only inst/shapes/sids.gpkg |only inst/shapes/wheat.gpkg |only man/afcon.Rd | 10 +-- man/alaska.Rd | 14 ++-- man/auckland.Rd | 17 ++--- man/baltimore.Rd | 34 +++++----- man/boston.Rd | 91 +++++++++++---------------- man/coffee_data.Rd | 10 +-- man/columbus.Rd | 46 ++++++------- man/congruent.Rd | 4 - man/cycle_hire.Rd | 12 +-- man/cycle_hire_osm.Rd | 12 +-- man/depmunic.Rd | 14 ++-- man/eire.Rd | 33 ++++----- man/elect80.Rd | 14 ++-- man/getisord.Rd | 6 - man/hawaii.Rd | 14 ++-- man/house.Rd | 48 +++++++------- man/huddersfield.Rd | 4 - man/jenks71.Rd | 4 - man/lnd.Rd | 16 ++-- man/nc.sids.Rd | 52 +++++++-------- man/nydata.Rd | 38 ++++++----- man/nz.Rd | 14 ++-- man/nz_height.Rd | 6 - man/properties.Rd | 12 +-- man/seine.Rd | 4 - man/urban_agglomerations.Rd | 10 +-- man/us_states.Rd | 14 ++-- man/us_states_df.Rd | 10 +-- man/used.cars.Rd | 45 +++++++------ man/wheat.Rd | 17 +++-- man/world.Rd | 22 +++--- man/worldbank_df.Rd | 14 ++-- 72 files changed, 725 insertions(+), 749 deletions(-)
Title: The Hyperdirichlet Distribution, Mark 2
Description: A suite of routines for the hyperdirichlet distribution
and reified Bradley-Terry; supersedes the 'hyperdirichlet' package;
uses 'disordR' discipline <doi:10.48550/ARXIV.2210.03856>. To cite
in publications please use Hankin 2017 <doi:10.32614/rj-2017-061>,
and for Generalized Plackett-Luce likelihoods use Hankin 2024
<doi:10.18637/jss.v109.i08>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>
Diff between hyper2 versions 3.0-0 dated 2022-08-20 and 3.1-0 dated 2024-05-31
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Title: A Global Dataset of Anthropogenic Extinct Birds and their
Traits: Phylogeny Builder
Description: Grafts the extinct bird species from the 'Avotrex' database (Sayol et al., in review) on to the 'BirdTree' phylogenies <https://birdtree.org>, using a set of different commands.
Author: Joseph Wayman [aut, cre] ,
Thomas J. Matthews [aut] ,
Paul Dufour [ctb],
Ferran Sayol [ctb],
Pedro Cardoso [ctb]
Maintainer: Joseph Wayman <j.wayman@bham.ac.uk>
Diff between avotrex versions 1.0.0 dated 2024-04-12 and 1.1.0 dated 2024-05-31
DESCRIPTION | 16 ++-- MD5 | 29 ++++---- NAMESPACE | 5 + NEWS.md |only R/AvoBind.R | 96 ++++++++++++++++++++++++-- R/AvoPhylo.R | 145 ++++++++++++++++++++++++++++++---------- README.md | 23 ++++-- data/AvotrexPhylo.rda |binary inst/doc/avotrex-r-package.R | 2 inst/doc/avotrex-r-package.Rmd | 10 +- inst/doc/avotrex-r-package.html | 38 +++++++--- man/AvoBind.Rd | 36 ++++++++- man/AvoPhylo.Rd | 87 ++++++++++++++++-------- man/AvotrexPhylo.Rd | 44 +----------- tests/testthat/test_avotrex.R | 43 +++++++++++ vignettes/avotrex-r-package.Rmd | 10 +- 16 files changed, 423 insertions(+), 161 deletions(-)
More information about SeedVigorIndex at CRAN
Permanent link
More information about SeedImbibition at CRAN
Permanent link
Title: Confirmatory Adaptive Clinical Trial Design and Analysis
Description: Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.
Author: Gernot Wassmer [aut] ,
Friedrich Pahlke [aut, cre] ,
Till Jensen [ctb],
Stephen Schueuerhuis [ctb],
Tobias Muetze [ctb]
Maintainer: Friedrich Pahlke <friedrich.pahlke@rpact.com>
Diff between rpact versions 3.5.1 dated 2024-02-27 and 4.0.0 dated 2024-05-31
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rpact-4.0.0/rpact/man/TrialDesignConditionalDunnett.Rd | 2 rpact-4.0.0/rpact/man/TrialDesignFisher.Rd | 2 rpact-4.0.0/rpact/man/TrialDesignGroupSequential.Rd | 5 rpact-4.0.0/rpact/man/TrialDesignInverseNormal.Rd | 2 rpact-4.0.0/rpact/man/TrialDesignPlan.Rd | 2 rpact-4.0.0/rpact/man/TrialDesignPlanCountData.Rd | 2 rpact-4.0.0/rpact/man/TrialDesignPlanMeans.Rd | 2 rpact-4.0.0/rpact/man/TrialDesignPlanRates.Rd | 2 rpact-4.0.0/rpact/man/TrialDesignPlanSurvival.Rd | 2 rpact-4.0.0/rpact/man/TrialDesignSet.Rd | 7 rpact-4.0.0/rpact/man/as.data.frame.TrialDesign.Rd | 3 rpact-4.0.0/rpact/man/as251Normal.Rd | 2 rpact-4.0.0/rpact/man/as251StudentT.Rd | 2 rpact-4.0.0/rpact/man/fetch.ParameterSet.Rd |only rpact-4.0.0/rpact/man/getDesignFisher.Rd | 9 rpact-4.0.0/rpact/man/getDesignGroupSequential.Rd | 9 rpact-4.0.0/rpact/man/getDesignInverseNormal.Rd | 9 rpact-4.0.0/rpact/man/getDesignSet.Rd | 6 rpact-4.0.0/rpact/man/getGroupSequentialProbabilities.Rd | 6 rpact-4.0.0/rpact/man/getPerformanceScore.Rd | 11 rpact-4.0.0/rpact/man/getSimulationCounts.Rd |only rpact-4.0.0/rpact/man/getSimulationEnrichmentMeans.Rd | 9 rpact-4.0.0/rpact/man/getSimulationEnrichmentRates.Rd | 9 rpact-4.0.0/rpact/man/getSimulationEnrichmentSurvival.Rd | 5 rpact-4.0.0/rpact/man/getSimulationMeans.Rd | 4 rpact-4.0.0/rpact/man/getSimulationMultiArmMeans.Rd | 11 rpact-4.0.0/rpact/man/getSimulationMultiArmRates.Rd | 11 rpact-4.0.0/rpact/man/getSimulationMultiArmSurvival.Rd | 7 rpact-4.0.0/rpact/man/getSimulationRates.Rd | 4 rpact-4.0.0/rpact/man/getSimulationSurvival.Rd | 8 rpact-4.0.0/rpact/man/kableParameterSet.Rd |only rpact-4.0.0/rpact/man/knit_print.SummaryFactory.Rd | 18 rpact-4.0.0/rpact/man/mvnprd.Rd | 2 rpact-4.0.0/rpact/man/mvstud.Rd | 2 rpact-4.0.0/rpact/man/names.SimulationResults.Rd | 3 rpact-4.0.0/rpact/man/param_informationRates.Rd | 6 rpact-4.0.0/rpact/man/param_maxNumberOfSubjectsPerStage.Rd | 2 rpact-4.0.0/rpact/man/param_minNumberOfSubjectsPerStage.Rd | 2 rpact-4.0.0/rpact/man/param_plannedCalendarTime.Rd |only rpact-4.0.0/rpact/man/param_selectArmsFunction.Rd | 7 rpact-4.0.0/rpact/man/param_selectPopulationsFunction.Rd | 5 rpact-4.0.0/rpact/man/param_sided.Rd | 3 rpact-4.0.0/rpact/man/plot.SummaryFactory.Rd | 6 rpact-4.0.0/rpact/man/print.SimulationResults.Rd | 6 rpact-4.0.0/rpact/man/print.SummaryFactory.Rd | 3 rpact-4.0.0/rpact/src/f_simulation_base_means.cpp | 10 rpact-4.0.0/rpact/src/f_simulation_base_survival.cpp | 8 rpact-4.0.0/rpact/tests/testthat/helper-f_core_assertions.R | 6 rpact-4.0.0/rpact/tests/testthat/test-class_core_parameter_set.R |only rpact-4.0.0/rpact/tests/testthat/test-class_core_plot_settings.R | 14 rpact-4.0.0/rpact/tests/testthat/test-class_design_plan.R | 158 rpact-4.0.0/rpact/tests/testthat/test-class_design_set.R | 10 rpact-4.0.0/rpact/tests/testthat/test-class_dictionary.R | 23 rpact-4.0.0/rpact/tests/testthat/test-class_time.R | 5390 ++-- rpact-4.0.0/rpact/tests/testthat/test-f_analysis_enrichment_means.R | 2815 +- rpact-4.0.0/rpact/tests/testthat/test-f_analysis_enrichment_survival.R | 6 rpact-4.0.0/rpact/tests/testthat/test-f_analysis_input_validation.R | 6 rpact-4.0.0/rpact/tests/testthat/test-f_analysis_multiarm_means.R |11100 +++++----- rpact-4.0.0/rpact/tests/testthat/test-f_analysis_multiarm_rates.R | 6 rpact-4.0.0/rpact/tests/testthat/test-f_analysis_multiarm_survival.R | 6 rpact-4.0.0/rpact/tests/testthat/test-f_analysis_utilities.R | 11 rpact-4.0.0/rpact/tests/testthat/test-f_as251.R | 6 rpact-4.0.0/rpact/tests/testthat/test-f_core_output_formats.R | 6 rpact-4.0.0/rpact/tests/testthat/test-f_core_plot.R | 7 rpact-4.0.0/rpact/tests/testthat/test-f_design_plan_count_data.R | 78 rpact-4.0.0/rpact/tests/testthat/test-f_design_plan_plot.R | 180 rpact-4.0.0/rpact/tests/testthat/test-f_object_r_code.R |only rpact-4.0.0/rpact/tests/testthat/test-f_simulation_base_count_data.R |only rpact-4.0.0/rpact/tests/testthat/test-f_simulation_base_means.R | 4737 ++-- rpact-4.0.0/rpact/tests/testthat/test-f_simulation_base_survival.R | 352 rpact-4.0.0/rpact/tests/testthat/test-f_simulation_calc_subjects_function.R | 7 rpact-4.0.0/rpact/tests/testthat/test-f_simulation_enrichment_survival.R | 6 rpact-4.0.0/rpact/tests/testthat/test-f_simulation_multiarm_means.R | 2 rpact-4.0.0/rpact/tests/testthat/test-f_simulation_multiarm_rates.R | 2 rpact-4.0.0/rpact/tests/testthat/test-f_simulation_multiarm_survival.R | 12 rpact-4.0.0/rpact/tests/testthat/test-f_simulation_performance_score.R | 78 rpact-4.0.0/rpact/tests/testthat/test-f_simulation_plot.R | 77 rpact-4.0.0/rpact/tests/testthat/test-f_simulation_utilities.R | 4 210 files changed, 19630 insertions(+), 18091 deletions(-)
Title: ROC Curve Inference with and without Covariates
Description: Estimates the pooled (unadjusted) Receiver Operating Characteristic (ROC) curve, the covariate-adjusted ROC (AROC) curve, and the covariate-specific/conditional ROC (cROC) curve by different methods, both Bayesian and frequentist. Also, it provides functions to obtain ROC-based optimal cutpoints utilizing several criteria. Based on Erkanli, A. et al. (2006) <doi:10.1002/sim.2496>; Faraggi, D. (2003) <doi:10.1111/1467-9884.00350>; Gu, J. et al. (2008) <doi:10.1002/sim.3366>; Inacio de Carvalho, V. et al. (2013) <doi:10.1214/13-BA825>; Inacio de Carvalho, V., and Rodriguez-Alvarez, M.X. (2022) <doi:10.1214/21-STS839>; Janes, H., and Pepe, M.S. (2009) <doi:10.1093/biomet/asp002>; Pepe, M.S. (1998) <http://www.jstor.org/stable/2534001?seq=1>; Rodriguez-Alvarez, M.X. et al. (2011a) <doi:10.1016/j.csda.2010.07.018>; Rodriguez-Alvarez, M.X. et al. (2011a) <doi:10.1007/s11222-010-9184-1>. Please see Rodriguez-Alvarez, M.X. and Inacio, V. (2 [...truncated...]
Author: Maria Xose Rodriguez-Alvarez [aut, cre]
,
Vanda Inacio [aut]
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez@uvigo.es>
Diff between ROCnReg versions 1.0-8 dated 2023-03-10 and 1.0-9 dated 2024-05-31
DESCRIPTION | 13 +++---- MD5 | 38 +++++++++++------------ NAMESPACE | 3 - NEWS | 4 ++ R/compute.threshold.TPF.pooledROC.BB.R | 4 +- R/compute.threshold.YI.pooledROC.BB.R | 4 +- R/pooledROC.BB.R | 6 +-- R/predict.bbase.interaction.factor.by.curve.os.R | 4 +- R/predict.bbase.os.R | 2 - R/predict.design.matrix.bnp.R | 4 +- R/predictive.checks.AROC.bnp.R | 2 - R/predictive.checks.cROC.bnp.R | 4 +- R/predictive.checks.helper.R | 2 - build/partial.rdb |binary man/AROC.bnp.Rd | 16 ++++----- man/AROC.kernel.Rd | 9 +++-- man/ROCnReg-package.Rd | 18 +++++----- man/compute.threshold.AROC.Rd | 6 +-- man/endosyn.Rd | 6 +-- man/predictive.checks.Rd | 4 +- 20 files changed, 76 insertions(+), 73 deletions(-)
Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra
Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad
Sanderson) that aims towards a good balance between speed and ease of
use. Integer, floating point and complex numbers are supported, as
well as a subset of trigonometric and statistics functions. Various
matrix decompositions are provided through optional integration with
LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the
header files from the templated 'Armadillo' library. Thus users do
not need to install 'Armadillo' itself in order to use
'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed
under Apache License 2; previous releases were under licensed as MPL
2.0 from version 3.800.0 onwards and LGPL-3 prior to that;
'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed
under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates, Binxiang Ni, and Conrad Sanderson
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RcppArmadillo versions 0.12.8.3.0 dated 2024-05-08 and 0.12.8.4.0 dated 2024-05-31
ChangeLog | 28 +++++++++++++++++++++++++ DESCRIPTION | 10 ++++---- MD5 | 24 ++++++++++----------- README.md | 2 - configure | 18 ++++++++-------- configure.ac | 2 - inst/doc/RcppArmadillo-intro.pdf |binary inst/doc/RcppArmadillo-sparseMatrix.pdf |binary inst/include/armadillo | 6 ++--- inst/include/armadillo_bits/SpSubview_meat.hpp | 26 ++++++++++++++++------- inst/include/armadillo_bits/arma_version.hpp | 2 - inst/include/armadillo_bits/fn_conv_to.hpp | 2 - inst/include/armadillo_bits/fn_dot.hpp | 24 +++++++++++++++++++-- 13 files changed, 101 insertions(+), 43 deletions(-)
Title: Linkage Analysis in Outcrossing Polyploids
Description: Creation of linkage maps in polyploid species from marker dosage
scores of an F1 cross from two heterozygous parents. Currently works for outcrossing diploid, autotriploid, autotetraploid and autohexaploid species,
as well as segmental allotetraploids. Methods are described in a manuscript of Bourke et al. (2018) <doi:10.1093/bioinformatics/bty371>. Since version 1.1.0,
both discrete and probabilistic genotypes are acceptable input; for more details on the latter see Liao et al. (2021) <doi:10.1007/s00122-021-03834-x>.
Author: Peter Bourke [aut, cre],
Geert van Geest [aut],
Roeland Voorrips [ctb],
Yanlin Liao [ctb]
Maintainer: Peter Bourke <pbourkey@gmail.com>
Diff between polymapR versions 1.1.5 dated 2024-01-08 and 1.1.6 dated 2024-05-31
DESCRIPTION | 14 MD5 | 20 R/exported_functions.R | 114 +---- build/partial.rdb |binary build/vignette.rds |binary inst/doc/Vignette_genotype_probabilities.R | 100 ++-- inst/doc/Vignette_polymapR.R | 102 ++-- inst/doc/Vignette_polymapR.Rmd | 2 inst/doc/Vignette_polymapR.html | 598 ++++++++++++++--------------- man/check_map.Rd | 11 vignettes/Vignette_polymapR.Rmd | 2 11 files changed, 459 insertions(+), 504 deletions(-)
Title: Datasets and Supplemental Functions from 'OpenIntro' Textbooks
and Labs
Description: Supplemental functions and data for 'OpenIntro' resources, which
includes open-source textbooks and resources for introductory statistics
(<https://www.openintro.org/>). The package contains datasets used in our
open-source textbooks along with custom plotting functions for reproducing
book figures. Note that many functions and examples include color
transparency; some plotting elements may not show up properly (or at all)
when run in some versions of Windows operating system.
Author: Mine Cetinkaya-Rundel [aut, cre]
,
David Diez [aut],
Andrew Bray [aut],
Albert Y. Kim [aut] ,
Ben Baumer [aut],
Chester Ismay [aut],
Nick Paterno [aut],
Christopher Barr [aut]
Maintainer: Mine Cetinkaya-Rundel <cetinkaya.mine@gmail.com>
Diff between openintro versions 2.4.0 dated 2022-08-31 and 2.5.0 dated 2024-05-31
DESCRIPTION | 14 MD5 | 480 +++++++++++++----------- NEWS.md | 13 R/CCP.R | 1 R/buildAxis.R | 6 R/contTable.R | 32 + R/data-LAhomes.R |only R/data-absenteeism.R | 2 R/data-acs12.R | 6 R/data-ami_occurrences.R | 2 R/data-arbuthnot.R | 6 R/data-ask.R | 2 R/data-association.R | 2 R/data-bac.R | 3 R/data-ball_bearing.R | 2 R/data-biontech_adolescents.R | 2 R/data-birds.R | 6 R/data-births14.R | 6 R/data-blizzard_salary.R | 2 R/data-books.R | 2 R/data-cars04.R |only R/data-cars93.R | 2 R/data-census.R | 4 R/data-children_gender_stereo.R | 6 R/data-cia_factbook.R | 2 R/data-climate70.R | 2 R/data-climber_drugs.R | 8 R/data-comics.R |only R/data-corr_match.R | 4 R/data-cpr.R | 2 R/data-credits.R | 2 R/data-daycare_fines.R | 18 R/data-drone_blades.R | 4 R/data-duke_forest.R | 2 R/data-elmhurst.R | 2 R/data-email.R | 13 R/data-email50.R | 2 R/data-env_regulation.R | 4 R/data-epa2021.R | 6 R/data-esi.R | 8 R/data-exam_grades.R | 4 R/data-fact_opinion.R | 10 R/data-family_college.R | 4 R/data-fastfood.R | 4 R/data-fish_age.R |only R/data-friday.R | 10 R/data-gdp_countries.R | 38 - R/data-gradestv.R | 4 R/data-gss_wordsum_class.R |only R/data-house.R | 4 R/data-housing.R | 2 R/data-iowa.R |only R/data-ipo.R | 26 - R/data-ipod.R | 2 R/data-iran.R |only R/data-jury.R | 4 R/data-labor_market_discrimination.R | 4 R/data-lecture_learning.R |only R/data-lego_population.R |only R/data-lego_sample.R |only R/data-life_exp.R |only R/data-lizard_run.R | 4 R/data-loans_full_schema.R | 4 R/data-london_boroughs.R | 4 R/data-london_murders.R | 10 R/data-malaria.R | 6 R/data-mammals.R | 2 R/data-manhattan.R |only R/data-mariokart.R | 12 R/data-military.R | 12 R/data-mlb_teams.R | 14 R/data-mlbbat10.R | 8 R/data-mn_police_use_of_force.R | 36 + R/data-movies.R |only R/data-mtl.R | 2 R/data-nba_finals.R |only R/data-nba_finals_teams.R |only R/data-ncbirths.R | 6 R/data-nyc.R |only R/data-nyc_marathon.R | 6 R/data-nycflights.R | 8 R/data-orings.R | 8 R/data-oscars.R | 2 R/data-outliers.R | 2 R/data-paralympic_1500.R |only R/data-pew_energy_2018.R | 2 R/data-photo_classify.R | 2 R/data-piracy.R | 16 R/data-playing_cards.R | 2 R/data-pm25_2011_durham.R | 41 +- R/data-pm25_2022_durham.R |only R/data-possum.R | 2 R/data-president.R | 3 R/data-race_justice.R | 8 R/data-rosling_responses.R | 2 R/data-russian_influence_on_us_election_2016.R | 2 R/data-sa_gdp_elec.R | 14 R/data-simpsons_paradox.R | 48 +- R/data-simulated_dist.R | 10 R/data-simulated_normal.R | 2 R/data-smoking.R | 2 R/data-soda.R |only R/data-sowc_child_mortality.R | 14 R/data-sowc_demographics.R | 18 R/data-sowc_maternal_newborn.R | 12 R/data-ssd_speed.R | 6 R/data-stem_cell.R | 2 R/data-student_sleep.R | 2 R/data-teacher.R | 2 R/data-tips.R | 6 R/data-toohey.R | 2 R/data-toy_anova.R | 4 R/data-twins.R |only R/data-ucla_textbooks_f18.R | 6 R/data-ukdemo.R | 2 R/data-unempl.R | 2 R/data-us_temperature.R |only R/data-usb_admit.R |only R/data-world_pop.R | 18 R/data-yrbss_samp.R | 2 R/dlsegments.R | 2 R/dotPlot.R | 2 R/edaPlot.R | 34 - R/qqnormsim.R | 13 R/treeDiag.R | 1 R/write_pkg_data.R | 16 README.md | 14 build/partial.rdb |binary build/vignette.rds |binary data/LAhomes.rda |only data/cars04.rda |only data/comics.rda |only data/fish_age.rda |only data/gss_wordsum_class.rda |only data/iowa.rda |only data/iran.rda |only data/lecture_learning.rda |only data/lego_population.rda |only data/lego_sample.rda |only data/life_exp.rda |only data/manhattan.rda |only data/movies.rda |only data/nba_finals.rda |only data/nba_finals_teams.rda |only data/nyc.rda |only data/nyc_marathon.rda |binary data/paralympic_1500.rda |only data/pm25_2011_durham.rda |binary data/pm25_2022_durham.rda |only data/soda.rda |only data/twins.rda |only data/ucb_admit.rda |only data/us_temperature.rda |only inst/doc/datasets.html | 14 man/LAhomes.Rd |only man/absenteeism.Rd | 2 man/acs12.Rd | 6 man/ami_occurrences.Rd | 2 man/arbuthnot.Rd | 6 man/ask.Rd | 2 man/association.Rd | 2 man/bac.Rd | 3 man/ball_bearing.Rd | 2 man/biontech_adolescents.Rd | 2 man/birds.Rd | 6 man/births14.Rd | 6 man/blizzard_salary.Rd | 2 man/books.Rd | 2 man/buildAxis.Rd | 6 man/cars04.Rd |only man/cars93.Rd | 2 man/census.Rd | 4 man/children_gender_stereo.Rd | 6 man/cia_factbook.Rd | 2 man/climate70.Rd | 2 man/climber_drugs.Rd | 8 man/comics.Rd |only man/contTable.Rd | 20 - man/corr_match.Rd | 4 man/cpr.Rd | 2 man/credits.Rd | 2 man/daycare_fines.Rd | 18 man/dotPlot.Rd | 2 man/drone_blades.Rd | 4 man/duke_forest.Rd | 2 man/elmhurst.Rd | 2 man/email.Rd | 13 man/email50.Rd | 2 man/env_regulation.Rd | 4 man/epa2021.Rd | 6 man/esi.Rd | 8 man/exam_grades.Rd | 4 man/fact_opinion.Rd | 10 man/family_college.Rd | 4 man/fastfood.Rd | 6 man/fish_age.Rd |only man/friday.Rd | 10 man/gdp_countries.Rd | 24 - man/gradestv.Rd | 4 man/gss_wordsum_class.Rd |only man/house.Rd | 4 man/housing.Rd | 2 man/iowa.Rd |only man/ipo.Rd | 26 - man/ipod.Rd | 2 man/iran.Rd |only man/jury.Rd | 4 man/labor_market_discriminiation.Rd | 4 man/lecture_learning.Rd |only man/lego_population.Rd |only man/lego_sample.Rd |only man/life_exp.Rd |only man/lizard_run.Rd | 4 man/loans_full_schema.Rd | 4 man/london_boroughs.Rd | 4 man/london_murders.Rd | 10 man/malaria.Rd | 6 man/mammals.Rd | 2 man/manhattan.Rd |only man/mariokart.Rd | 12 man/military.Rd | 12 man/mlb_teams.Rd | 14 man/mlbbat10.Rd | 8 man/mn_police_use_of_force.Rd | 28 - man/movies.Rd |only man/mtl.Rd | 2 man/nba_finals.Rd |only man/nba_finals_teams.Rd |only man/ncbirths.Rd | 6 man/nyc.Rd |only man/nyc_marathon.Rd | 6 man/nycflights.Rd | 8 man/openintro-package.Rd | 4 man/orings.Rd | 8 man/oscars.Rd | 2 man/outliers.Rd | 2 man/paralympic_1500.Rd |only man/pew_energy_2018.Rd | 2 man/photo_classify.Rd | 2 man/piracy.Rd | 16 man/playing_cards.Rd | 2 man/pm25_2011_durham.Rd | 41 +- man/pm25_2022_durham.Rd |only man/possum.Rd | 2 man/president.Rd | 3 man/race_justice.Rd | 8 man/rosling_responses.Rd | 2 man/russian_influence_on_us_election_2016.Rd | 2 man/sa_gdp_elec.Rd | 14 man/simpsons_paradox_covid.Rd | 40 +- man/simulated_dist.Rd | 10 man/simulated_normal.Rd | 2 man/smoking.Rd | 2 man/soda.Rd |only man/sowc_child_mortality.Rd | 14 man/sowc_demographics.Rd | 18 man/sowc_maternal_newborn.Rd | 12 man/ssd_speed.Rd | 6 man/stem_cell.Rd | 2 man/student_sleep.Rd | 2 man/teacher.Rd | 2 man/tips.Rd | 6 man/toohey.Rd | 2 man/toy_anova.Rd | 4 man/twins.Rd |only man/ucla_textbooks_f18.Rd | 6 man/ukdemo.Rd | 2 man/unempl.Rd | 2 man/us_temperature.Rd |only man/usb_admit.Rd |only man/world_pop.Rd | 18 man/write_pkg_data.Rd | 2 man/yrbss_samp.Rd | 2 tests/testthat/test-data-biontech_adolescents.R | 6 274 files changed, 1049 insertions(+), 905 deletions(-)
Title: Interface to the 'nanoarrow' 'C' Library
Description: Provides an 'R' interface to the 'nanoarrow' 'C' library and the
'Apache Arrow' application binary interface. Functions to import and
export 'ArrowArray', 'ArrowSchema', and 'ArrowArrayStream' 'C' structures
to and from 'R' objects are provided alongside helpers to facilitate zero-copy
data transfer among 'R' bindings to libraries implementing the 'Arrow' 'C'
data interface.
Author: Dewey Dunnington [aut, cre] ,
Apache Arrow [aut, cph],
Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>
Diff between nanoarrow versions 0.5.0 dated 2024-05-26 and 0.5.0.1 dated 2024-05-31
DESCRIPTION | 10 ++++---- MD5 | 8 +++--- R/extension-vctrs.R | 41 ++++++++++++++++++++++++++++------ man/na_vctrs.Rd | 3 +- tests/testthat/test-extension-vctrs.R | 15 ------------ 5 files changed, 46 insertions(+), 31 deletions(-)
Title: History Matching and Emulation Package
Description: A set of objects and functions for Bayes Linear emulation and history matching.
Core functionality includes automated training of emulators to data, diagnostic functions
to ensure suitability, and a variety of proposal methods for generating 'waves' of points.
For details on the mathematical background, there are many papers available on the topic
(see references attached to function help files or the below references); for details of
the functions in this package, consult the manual or help files.
Iskauskas, A, et al. (2024) <doi:10.18637/jss.v109.i10>.
Bower, R.G., Goldstein, M., and Vernon, I. (2010) <doi:10.1214/10-BA524>.
Craig, P.S., Goldstein, M., Seheult, A.H., and Smith, J.A. (1997) <doi:10.1007/978-1-4612-2290-3_2>.
Author: Andrew Iskauskas [aut, cre] ,
TJ McKinley [aut]
Maintainer: Andrew Iskauskas <andrew.iskauskas@durham.ac.uk>
Diff between hmer versions 1.5.9 dated 2024-05-15 and 1.6.0 dated 2024-05-31
DESCRIPTION | 7 MD5 | 29 - NEWS.md | 10 R/genpoints.R | 4 R/modelbuilding.R | 8 R/multiwaveplot.R | 4 inst/CITATION |only inst/doc/demonstrating-the-hmer-package.html | 128 +++---- inst/doc/emulationhandbook.html | 4 inst/doc/low-dimensional-examples.html | 440 +++++++++++++-------------- inst/doc/stochasticandbimodalemulation.html | 4 man/analyze_diagnostic.Rd | 2 man/diagnostic_pass.Rd | 2 man/generate_new_design.Rd | 6 man/generate_new_runs.Rd | 2 man/idemc.Rd | 2 16 files changed, 333 insertions(+), 319 deletions(-)
Title: Fitting Hidden Markov Models to Financial Data
Description: Fitting (hierarchical) hidden Markov models to financial data
via maximum likelihood estimation. See Oelschläger, L. and Adam, T.
"Detecting Bearish and Bullish Markets in Financial Time Series Using
Hierarchical Hidden Markov Models" (2021, Statistical Modelling)
<doi:10.1177/1471082X211034048> for a reference on the method. A user guide
is provided by the accompanying software paper "fHMM: Hidden Markov Models
for Financial Time Series in R", Oelschläger, L., Adam, T., and Michels, R.
(2024, Journal of Statistical Software) <doi:10.18637/jss.v109.i09>.
Author: Lennart Oelschlaeger [aut, cre]
,
Timo Adam [aut] ,
Rouven Michels [aut]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>
Diff between fHMM versions 1.3.0 dated 2024-04-30 and 1.3.1 dated 2024-05-31
fHMM-1.3.0/fHMM/inst/extdata/spx.csv |only fHMM-1.3.0/fHMM/inst/extdata/vw.csv |only fHMM-1.3.0/fHMM/vignettes/^GDAXI.csv |only fHMM-1.3.0/fHMM/vignettes/dax.csv |only fHMM-1.3.1/fHMM/DESCRIPTION | 15 fHMM-1.3.1/fHMM/MD5 | 75 ++-- fHMM-1.3.1/fHMM/NEWS.md | 4 fHMM-1.3.1/fHMM/R/data_and_models.R | 8 fHMM-1.3.1/fHMM/R/fHMM-package.R | 172 +++++----- fHMM-1.3.1/fHMM/R/fHMM_controls.R | 2 fHMM-1.3.1/fHMM/README.md | 31 + fHMM-1.3.1/fHMM/inst/CITATION |only fHMM-1.3.1/fHMM/inst/doc/fHMM.Rmd | 6 fHMM-1.3.1/fHMM/inst/doc/fHMM.html | 13 fHMM-1.3.1/fHMM/inst/doc/v01_model_definition.html | 5 fHMM-1.3.1/fHMM/inst/doc/v02_controls.Rmd | 4 fHMM-1.3.1/fHMM/inst/doc/v02_controls.html | 12 fHMM-1.3.1/fHMM/inst/doc/v03_data_management.R | 3 fHMM-1.3.1/fHMM/inst/doc/v03_data_management.Rmd | 18 - fHMM-1.3.1/fHMM/inst/doc/v03_data_management.html | 107 ++---- fHMM-1.3.1/fHMM/inst/doc/v04_model_estimation.Rmd | 2 fHMM-1.3.1/fHMM/inst/doc/v04_model_estimation.html | 12 fHMM-1.3.1/fHMM/inst/doc/v05_state_decoding_and_prediction.R | 4 fHMM-1.3.1/fHMM/inst/doc/v05_state_decoding_and_prediction.Rmd | 4 fHMM-1.3.1/fHMM/inst/doc/v05_state_decoding_and_prediction.html | 30 - fHMM-1.3.1/fHMM/inst/doc/v06_model_checking.Rmd | 4 fHMM-1.3.1/fHMM/inst/doc/v06_model_checking.html | 25 - fHMM-1.3.1/fHMM/inst/doc/v07_model_selection.Rmd | 2 fHMM-1.3.1/fHMM/inst/doc/v07_model_selection.html | 9 fHMM-1.3.1/fHMM/man/fHMM-package.Rd | 2 fHMM-1.3.1/fHMM/man/set_controls.Rd | 2 fHMM-1.3.1/fHMM/man/spx.Rd | 4 fHMM-1.3.1/fHMM/man/vw.Rd | 4 fHMM-1.3.1/fHMM/vignettes/fHMM.Rmd | 6 fHMM-1.3.1/fHMM/vignettes/flowchart.png |binary fHMM-1.3.1/fHMM/vignettes/v02_controls.Rmd | 4 fHMM-1.3.1/fHMM/vignettes/v03_data_management.Rmd | 18 - fHMM-1.3.1/fHMM/vignettes/v04_model_estimation.Rmd | 2 fHMM-1.3.1/fHMM/vignettes/v05_state_decoding_and_prediction.Rmd | 4 fHMM-1.3.1/fHMM/vignettes/v06_model_checking.Rmd | 4 fHMM-1.3.1/fHMM/vignettes/v07_model_selection.Rmd | 2 41 files changed, 320 insertions(+), 299 deletions(-)
Title: Fast Fitting of Stable Isotope Mixing Models with Covariates
Description: Fast fitting of Stable Isotope Mixing Models in R. Allows for the inclusion of covariates. Also has built-in summary functions and plot functions which allow for the creation of isospace plots. Variational Bayes is used to fit these models, methods as described in: Tran et al., (2021) <doi:10.48550/arXiv.2103.01327>.
Author: Emma Govan [cre, aut],
Andrew Parnell [aut],
Ahmed Shalaby [ctb],
Alan Inglis [ctb]
Maintainer: Emma Govan <emmagovan@gmail.com>
Diff between cosimmr versions 1.0.11 dated 2024-05-28 and 1.0.12 dated 2024-05-31
DESCRIPTION | 12 MD5 | 18 build/vignette.rds |binary inst/doc/cosimmr.R | 24 inst/doc/cosimmr.Rmd | 12 inst/doc/cosimmr.html | 1151 +------------------------------------- inst/doc/cosimmr_quick_start.R |only inst/doc/cosimmr_quick_start.Rmd |only inst/doc/cosimmr_quick_start.html |only inst/extdata |only vignettes/cosimmr.Rmd | 12 vignettes/cosimmr_quick_start.Rmd |only 12 files changed, 93 insertions(+), 1136 deletions(-)
Title: Cluster Analysis with Missing Values by Multiple Imputation
Description: Allows clustering of incomplete observations by addressing missing values using multiple imputation. For achieving this goal, the methodology consists in three steps, following Audigier and Niang 2022 <doi:10.1007/s11634-022-00519-1>. I) Missing data imputation using dedicated models. Four multiple imputation methods are proposed, two are based on joint modelling and two are fully sequential methods, as discussed in Audigier et al. (2021) <doi:10.48550/arXiv.2106.04424>. II) cluster analysis of imputed data sets. Six clustering methods are available (distances-based or model-based), but custom methods can also be easily used. III) Partition pooling. The set of partitions is aggregated using Non-negative Matrix Factorization based method. An associated instability measure is computed by bootstrap (see Fang, Y. and Wang, J., 2012 <doi:10.1016/j.csda.2011.09.003>). Among applications, this instability measure can be used to choose a number of clusters with missing value [...truncated...]
Author: Vincent Audigier [aut, cre] ,
Hang Joon Kim [ctb]
Maintainer: Vincent Audigier <vincent.audigier@cnam.fr>
Diff between clusterMI versions 1.1.0 dated 2024-05-17 and 1.1.1 dated 2024-05-31
DESCRIPTION | 8 MD5 | 16 R/imputedata.R | 3 R/overimpute.R | 18 inst/doc/clusterMI.R |17854 ++--------------------------------------------- inst/doc/clusterMI.Rmd |17879 ++---------------------------------------------- inst/doc/clusterMI.html | 160 man/overimpute.Rd | 4 vignettes/clusterMI.Rmd |17879 ++---------------------------------------------- 9 files changed, 2720 insertions(+), 51101 deletions(-)
Title: Functions to Assist Design and Analysis of Agronomic Experiments
Description: Provides functions to aid in the design and analysis of
agronomic and agricultural experiments through easy access to
documentation and helper functions, especially for users who are
learning these concepts. While not required for most functionality,
this package enhances the `asreml` package which provides a
computationally efficient algorithm for fitting mixed models
using Residual Maximum Likelihood. It is a commercial package
that can be purchased as 'asreml-R' from 'VSNi'
<https://vsni.co.uk/>, who will supply a zip file for local
installation/updating (see <https://asreml.kb.vsni.co.uk/>).
Author: Sharon Nielsen [aut],
Sam Rogers [aut, cre],
Annie Conway [aut],
University of Adelaide [cph, fnd] ,
Grains Research and Development Corporation [cph, fnd]
Maintainer: Sam Rogers <biometrytraining@adelaide.edu.au>
Diff between biometryassist versions 1.1.3 dated 2023-07-19 and 1.2.0 dated 2024-05-31
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More information about biometryassist at CRAN
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Title: The 'jamovi' Analyses
Description: A suite of common statistical methods such as descriptives,
t-tests, ANOVAs, regression, correlation matrices, proportion tests,
contingency tables, and factor analysis. This package is also useable from
the 'jamovi' statistical spreadsheet (see <https://www.jamovi.org> for more
information).
Author: Ravi Selker [aut, cph],
Jonathon Love [aut, cre, cph],
Damian Dropmann [aut, cph],
Victor Moreno [ctb, cph],
Maurizio Agosti [ctb, cph]
Maintainer: Jonathon Love <jon@thon.cc>
Diff between jmv versions 2.4.11 dated 2023-10-12 and 2.5.5 dated 2024-05-31
DESCRIPTION | 8 MD5 | 46 - R/00jmv.R | 12 R/anovarm.h.R | 2 R/anovarmnp.b.R | 10 R/conttables.b.R | 104 +-- R/conttables.h.R | 2 R/descriptives.h.R | 11 R/ttestis.b.R | 7 R/ttestis.h.R | 3 inst/i18n/ca.json | 40 - inst/i18n/cs.json | 10 inst/i18n/he.json | 30 inst/i18n/hu.json | 11 inst/i18n/id.json | 20 inst/i18n/ko.json | 1366 +++++++++++++++++++++---------------------- inst/i18n/nl.json | 46 - inst/i18n/no.json | 2 inst/i18n/pl.json | 54 - inst/i18n/pt.json | 38 - inst/i18n/ro.json |only inst/i18n/tr.json | 24 inst/i18n/uk.json | 42 - inst/i18n/zh-tw.json | 8 tests/testthat/testttestis.R |only 25 files changed, 952 insertions(+), 944 deletions(-)
Title: Collection of Helper Functions
Description: Provides a collection of lightweight helper functions (imps) both
for interactive use and for inclusion within other packages. These include
functions for minimal input assertions, visualising colour palettes,
quoting user input, searching rows of a data frame and capturing string
tokens.
Author: Tim Taylor [aut, cre, cph] ,
R Core Team [cph] ,
Toby Hocking [cph]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>
Diff between ympes versions 1.2.0 dated 2024-05-24 and 1.3.0 dated 2024-05-31
ympes-1.2.0/ympes/R/utils.R |only ympes-1.3.0/ympes/DESCRIPTION | 10 ympes-1.3.0/ympes/MD5 | 19 ympes-1.3.0/ympes/NAMESPACE | 83 +-- ympes-1.3.0/ympes/NEWS.md | 26 + ympes-1.3.0/ympes/R/assert.R | 571 +++++++++++++++------- ympes-1.3.0/ympes/R/greprows.R | 7 ympes-1.3.0/ympes/R/new_package.R | 3 ympes-1.3.0/ympes/inst/tinytest/test_assertions.R | 233 ++++---- ympes-1.3.0/ympes/man/assertions.Rd | 439 ++++++++++++---- ympes-1.3.0/ympes/man/ympes-package.Rd | 1 11 files changed, 954 insertions(+), 438 deletions(-)
Title: Spatial Regression Analysis
Description: A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in 'spdep'. These model fitting functions include maximum likelihood methods for cross-sectional models proposed by 'Cliff' and 'Ord' (1973, ISBN:0850860369) and (1981, ISBN:0850860814), fitting methods initially described by 'Ord' (1975) <doi:10.1080/01621459.1975.10480272>. The models are further described by 'Anselin' (1988) <doi:10.1007/978-94-015-7799-1>. Spatial two stage least squares and spatial general method of moment models initially proposed by 'Kelejian' and 'Prucha' (1998) <doi:10.1023/A:1007707430416> and (1999) <doi:10.1111/1468-2354.00027> are provided. Impact methods and MCMC fitting methods proposed by 'LeSage' and 'Pace' (2009) <doi:10.1201/9781420064254> are implemented for the family of cross-sectional spatial regression models. Methods for fitting the log determinant term in maximu [...truncated...]
Author: Roger Bivand [cre, aut] ,
Gianfranco Piras [aut],
Luc Anselin [ctb],
Andrew Bernat [ctb],
Eric Blankmeyer [ctb],
Yongwan Chun [ctb],
Virgilio Gomez-Rubio [ctb],
Daniel Griffith [ctb],
Martin Gubri [ctb],
Rein Halbersma [ctb],
James LeSage [ctb],
Ange [...truncated...]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>
Diff between spatialreg versions 1.3-2 dated 2024-02-06 and 1.3-3 dated 2024-05-31
DESCRIPTION | 10 ++--- MD5 | 36 +++++++++---------- NEWS.md | 14 +++++++ R/ML_models.R | 9 ++-- R/SLX_WX.R | 25 +++++++------ R/jacobian.R | 6 +-- R/sarlm_functions.R | 13 ++++--- build/partial.rdb |binary build/vignette.rds |binary inst/doc/nb_igraph.R | 19 +++++----- inst/doc/nb_igraph.Rmd | 19 +++++----- inst/doc/nb_igraph.html | 84 +++++++++++++++------------------------------- inst/doc/sids_models.html | 10 ++--- man/GMerrorsar.Rd | 3 - man/MCMCsamp.Rd | 3 - man/ML_models.Rd | 1 man/SLX.Rd | 3 + man/spautolm.Rd | 3 - vignettes/nb_igraph.Rmd | 19 +++++----- 19 files changed, 136 insertions(+), 141 deletions(-)
Title: Compute, Handle, Plot and Model Incidence of Dated Events
Description: Provides functions and classes to compute, handle and visualise
incidence from dated events for a defined time interval. Dates can be provided
in various standard formats. The class 'incidence' is used to store computed
incidence and can be easily manipulated, subsetted, and plotted. In addition,
log-linear models can be fitted to 'incidence' objects using 'fit'. This
package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit
for outbreak analysis.
Author: Thibaut Jombart [aut],
Zhian N. Kamvar [aut] ,
Rich FitzJohn [aut],
Tim Taylor [cre] ,
Jun Cai [ctb] ,
Sangeeta Bhatia [ctb],
Jakob Schumacher [ctb],
Juliet R.C. Pulliam [ctb]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>
Diff between incidence versions 1.7.4 dated 2024-05-15 and 1.7.5 dated 2024-05-31
DESCRIPTION | 7 MD5 | 14 NEWS.md | 5 inst/doc/conversions.html | 350 ++++++------- inst/doc/customize_plot.html | 270 +++++----- inst/doc/incidence_class.html | 612 ++++++++++++------------ inst/doc/incidence_fit_class.html | 958 +++++++++++++++++++------------------- inst/doc/overview.html | 688 +++++++++++++-------------- 8 files changed, 1455 insertions(+), 1449 deletions(-)
Title: Grouped Date Classes
Description: Provides a coherent interface and implementation for creating
grouped date classes. This package is part of the RECON
(<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.
Author: Tim Taylor [aut, cre]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>
Diff between grates versions 1.2.0 dated 2024-03-08 and 1.2.1 dated 2024-05-31
grates-1.2.0/grates/R/s3_register.R |only grates-1.2.0/grates/R/zzz.R |only grates-1.2.0/grates/man/s3_register.Rd |only grates-1.2.1/grates/DESCRIPTION | 8 grates-1.2.1/grates/MD5 | 109 ++++----- grates-1.2.1/grates/NAMESPACE | 31 ++ grates-1.2.1/grates/NEWS.md | 4 grates-1.2.1/grates/R/boundaries.R | 2 grates-1.2.1/grates/R/epiweek.R | 3 grates-1.2.1/grates/R/isoweek.R | 5 grates-1.2.1/grates/R/month.R | 3 grates-1.2.1/grates/R/period.R | 5 grates-1.2.1/grates/R/scale-epiweek.R | 7 grates-1.2.1/grates/R/scale-isoweek.R | 7 grates-1.2.1/grates/R/scale-month.R | 7 grates-1.2.1/grates/R/scale-period.R | 7 grates-1.2.1/grates/R/scale-year.R | 7 grates-1.2.1/grates/R/scale-yearmonth.R | 7 grates-1.2.1/grates/R/scale-yearquarter.R | 7 grates-1.2.1/grates/R/scale-yearweek.R | 7 grates-1.2.1/grates/R/year.R | 3 grates-1.2.1/grates/R/yearmonth.R | 3 grates-1.2.1/grates/R/yearquarter.R | 3 grates-1.2.1/grates/R/yearweek.R | 24 ++ grates-1.2.1/grates/build/vignette.rds |binary grates-1.2.1/grates/inst/doc/grates.R | 38 +-- grates-1.2.1/grates/inst/doc/grates.Rmd | 38 +-- grates-1.2.1/grates/inst/doc/grates.html | 110 +++++----- grates-1.2.1/grates/tests/testthat/_snaps/plots/epiweek.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/epiweek_breaks.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/epiweek_breaks_dates.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/isoweek.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/isoweek_breaks.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/isoweek_breaks_dates.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/month.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/month2.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/month_breaks.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/twentyeight_days.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/twentyeight_days_breaks.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/two_weeks.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/two_weeks_breaks.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/year.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/year2.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/year2_breaks.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/year_breaks.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/yearmonth.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/yearmonth2.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/yearmonth_breaks.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/yearquarter.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/yearquarter2.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/yearquarter2_breaks.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/yearquarter_breaks.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/yearweek_monday.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/yearweek_monday_breaks.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/yearweek_thursday.png |binary grates-1.2.1/grates/tests/testthat/_snaps/plots/yearweek_thursday_breaks.png |binary grates-1.2.1/grates/vignettes/grates.Rmd | 38 +-- 57 files changed, 294 insertions(+), 189 deletions(-)
Title: Compute, Handle and Plot Incidence of Dated Events
Description: Provides functions and classes to compute, handle and visualise
incidence from dated events for a defined time interval. Dates can be
provided in various standard formats. The class 'incidence2' is used to store
computed incidence and can be easily manipulated, subsetted, and plotted.
This package is part of the RECON (<https://www.repidemicsconsortium.org/>)
toolkit for outbreak analysis (<https://www.reconverse.org>).
Author: Tim Taylor [aut, cre] ,
Thibaut Jombart [ctb]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>
Diff between incidence2 versions 2.3.0 dated 2024-05-23 and 2.3.1 dated 2024-05-31
DESCRIPTION | 11 ++++---- MD5 | 46 +++++++++++++++++----------------- NAMESPACE | 3 -- NEWS.md | 7 +++++ R/accessors.R | 16 +++++------ R/as_incidence.R | 2 - R/assertions.R |only R/bootstrap.R | 2 - R/complete_dates.R | 9 +++--- R/cumulate.R | 2 - R/error_types.R |only R/estimate_peak.R | 5 +-- R/incidence.R | 63 +++++++++++++++++++++++------------------------ R/incidence2-package.R | 1 R/keep.R | 26 +++++-------------- R/mutate.R | 2 - R/nest.R | 4 +- R/palettes.R | 2 - R/plot.R | 26 +++++++++---------- R/rbind.R | 2 - R/regroup.R | 10 +++---- R/split.R | 4 +- R/summarise.R | 4 +- R/utils.R | 14 +++++++--- inst/doc/incidence2.html | 22 ++++++++-------- 25 files changed, 142 insertions(+), 141 deletions(-)
Title: Efficient Monitoring of Global Biodiversity Portfolios
Description: Biodiversity areas, especially primary forest, serve a
multitude of functions for local economy, regional functionality of
the ecosystems as well as the global health of our planet. Recently,
adverse changes in human land use practices and climatic responses to
increased greenhouse gas emissions, put these biodiversity areas under
a variety of different threats. The present package helps to analyse a
number of biodiversity indicators based on freely available
geographical datasets. It supports computational efficient routines
that allow the analysis of potentially global biodiversity portfolios.
The primary use case of the package is to support evidence based
reporting of an organization's effort to protect biodiversity areas
under threat and to identify regions were intervention is most duly
needed.
Author: Darius A. Goergen [aut, cre],
Om Prakash Bhandari [aut]
Maintainer: Darius A. Goergen <darius2402@web.de>
Diff between mapme.biodiversity versions 0.6.0 dated 2024-04-30 and 0.7.0 dated 2024-05-31
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mapme.biodiversity-0.7.0/mapme.biodiversity/man/check_namespace.Rd | 9 mapme.biodiversity-0.7.0/mapme.biodiversity/man/chirps.Rd | 6 mapme.biodiversity-0.7.0/mapme.biodiversity/man/deforestation_drivers.Rd | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/man/drought_indicator.Rd | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/man/ecoregion.Rd | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/man/elevation.Rd | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/man/fatalities.Rd | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/man/gfw_lossyear.Rd | 4 mapme.biodiversity-0.7.0/mapme.biodiversity/man/gfw_treecover.Rd | 4 mapme.biodiversity-0.7.0/mapme.biodiversity/man/gsw_change.Rd | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/man/gsw_occurrence.Rd | 4 mapme.biodiversity-0.7.0/mapme.biodiversity/man/gsw_recurrence.Rd | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/man/gsw_seasonality.Rd | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/man/gsw_transitions.Rd | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/man/landcover.Rd | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/man/mangroves_area.Rd | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/man/mapme.Rd | 27 mapme.biodiversity-0.7.0/mapme.biodiversity/man/nasa_srtm.Rd | 4 mapme.biodiversity-0.7.0/mapme.biodiversity/man/population_count.Rd | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/man/portfolio.Rd | 67 mapme.biodiversity-0.7.0/mapme.biodiversity/man/precipitation_chirps.Rd | 34 mapme.biodiversity-0.7.0/mapme.biodiversity/man/precipitation_wc.Rd | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/man/soilproperties.Rd | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/man/temperature_max_wc.Rd | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/man/temperature_min_wc.Rd | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/man/traveltime.Rd | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/man/treecover_area.Rd | 8 mapme.biodiversity-0.7.0/mapme.biodiversity/man/treecover_area_and_emissions.Rd | 8 mapme.biodiversity-0.7.0/mapme.biodiversity/man/treecoverloss_emissions.Rd | 8 mapme.biodiversity-0.7.0/mapme.biodiversity/man/tri.Rd | 4 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/_snaps/calc_drought_indicator.md | 7 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/_snaps/calc_elevation.md | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/_snaps/calc_population_count.md | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/_snaps/calc_precipitation_chirps.md | 25 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/_snaps/calc_precipitation_wc.md | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/_snaps/calc_soilproperties.md | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/_snaps/calc_temperature_max_wc.md | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/_snaps/calc_temperature_min_wc.md | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/_snaps/calc_traveltime.md | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/_snaps/calc_treecover_area.md | 4 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/_snaps/calc_treecover_area_and_emissions.md | 12 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/_snaps/calc_treecoverloss_emissions.md | 4 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/_snaps/calc_tri.md | 2 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/_snaps/get_soilgrids.md | 294 +- mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_active_fire_counts.R | 34 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_biome.R | 32 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_deforestation_drivers.R | 28 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_drought_indicator.R | 31 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_ecoregion.R | 17 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_elevation.R | 25 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_fatalities.R | 61 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_gsw_change.R | 19 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_gsw_occurrence.R | 18 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_gsw_recurrence.R | 18 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_gsw_seasonality.R | 20 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_gsw_transitions.R | 26 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_indicator.R | 239 - mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_landcover.R | 14 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_mangroves_area.R | 23 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_population_count.R | 46 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_precipitation_chirps.R | 61 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_precipitation_wc.R | 46 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_soilproperties.R | 50 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_temperature_max_wc.R | 48 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_temperature_min_wc.R | 48 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_traveltime.R | 50 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_treecover_area.R | 19 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_treecover_area_and_emissions.R | 22 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_treecoverloss_emissions.R | 19 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-calc_tri.R | 47 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-get_chirps.R | 13 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-get_resources.R | 6 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-get_soilgrids.R | 16 mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-portfolio.R | 136 - mapme.biodiversity-0.7.0/mapme.biodiversity/tests/testthat/test-register.R | 4 mapme.biodiversity-0.7.0/mapme.biodiversity/vignettes/quickstart.Rmd | 255 - mapme.biodiversity-0.7.0/mapme.biodiversity/vignettes/terminology.Rmd | 20 1170 files changed, 2637 insertions(+), 3696 deletions(-)
More information about mapme.biodiversity at CRAN
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Title: Behavioural Studies of Large Language Models
Description: We provide an efficient way to design and conduct psycholinguistic experiments for testing the performance of large language models. It simplifies the process of setting up experiments, and data collection via large language models' API, streamlining workflow for researchers in the field of machine behavior. For methodology details, see Duan, X., Li, S., & Cai, Z. G. (2023) <doi:10.31234/osf.io/ywtfd>.
Author: Xufeng Duan [aut, cph],
Shixuan Li [aut, cre],
Zhenguang Cai [aut]
Maintainer: Shixuan Li <shixuanli@cuhk.edu.hk>
Diff between MacBehaviour versions 1.1.3 dated 2024-02-20 and 1.2.1 dated 2024-05-31
DESCRIPTION | 10 MD5 | 26 +- NAMESPACE | 33 +- R/exception_handle.R | 2 R/experimentDesign.R | 106 +++++--- R/gpt.R | 356 ++++++++++++++++++++++++--- R/loadData.R | 118 ++++----- R/precheck.R | 97 +++---- R/runExperiment.R | 612 +++++++++++++++++++++++++++++++++++++++++++----- R/tools.R | 334 ++++++++++++++++++++------ man/experimentDesign.Rd | 15 - man/loadData.Rd | 20 + man/preCheck.Rd | 29 -- man/setKey.Rd | 10 14 files changed, 1378 insertions(+), 390 deletions(-)
Title: Sparse Matrix Format with Data on Disk
Description: Provide a sparse matrix format with data stored on disk, to be
used in both R and C++. This is intended for more efficient use of sparse
data in C++ and also when parallelizing, since data on disk does not need
copying. Only a limited number of features will be implemented. For now,
conversion can be performed from a 'dgCMatrix' or a 'dsCMatrix' from R
package 'Matrix'. A new compact format is also now available.
Author: Florian Prive [aut, cre]
Maintainer: Florian Prive <florian.prive.21@gmail.com>
Diff between bigsparser versions 0.6.1 dated 2022-06-07 and 0.7.1 dated 2024-05-31
DESCRIPTION | 8 - MD5 | 47 ++++----- NAMESPACE | 2 R/RcppExports.R | 32 ++++++ R/SFBM.R | 145 +++++++++++++++++++++++++++- R/prod.R | 12 +- R/solve-sym.R | 3 R/spmat-accessor.R | 15 ++ README.md | 3 inst/include/bigsparser/SFBM-corr-compact.h |only inst/include/bigsparser/SFBM.h | 3 man/SFBM-class.Rd | 2 man/SFBM_corr_compact-class.Rd |only man/crochet.Rd | 5 src/Makevars | 1 src/RcppExports.cpp | 130 ++++++++++++++++++++++++- src/SFBM-xptr.cpp | 28 ++++- src/dense-accessor.cpp |only src/prod.cpp | 20 ++- src/solve.cpp | 3 src/spmat-accessor.cpp | 63 ++++++++++-- src/write-indval.cpp | 3 src/write-val-compact.cpp | 62 +++++++++++ tests/testthat/test-SFBM.R | 24 ++++ tests/testthat/test-accessor.R | 45 ++++++++ tests/testthat/test-solve.R | 23 ++-- 26 files changed, 602 insertions(+), 77 deletions(-)
Title: Work with 'YouTube API'
Description: Provide function for get data from 'YouTube Data API'
<https://developers.google.com/youtube/v3/docs/>, 'YouTube Analytics API'
<https://developers.google.com/youtube/analytics/reference/> and
'YouTube Reporting API' <https://developers.google.com/youtube/reporting/v1/reports>.
Author: Alexey Seleznev [aut, cre] ,
Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>
Diff between rytstat versions 0.3.0 dated 2022-06-30 and 0.3.2 dated 2024-05-31
DESCRIPTION | 6 MD5 | 22 - NEWS.md | 130 ++++--- R/ryt_auth.R | 686 +++++++++++++++++++------------------- R/ryt_get_analytics.R | 225 ++++++------ R/ryt_get_channel_activities.R | 286 +++++++-------- R/ryt_get_report.R | 10 R/ryt_get_videos.R | 45 +- R/ryt_get_videos_details_helper.R | 144 +++---- README.md | 2 man/ryt_get_analytics.Rd | 11 man/ryt_get_videos.Rd | 5 12 files changed, 827 insertions(+), 745 deletions(-)
Title: VITA, IG and PLSIM Simulation for Given Covariance and Marginals
Description: Random sampling from distributions with user-specified population covariance matrix. Marginal information may be fully
specified, for which the package implements the VITA (VIne-To-Anything) algorithm
Grønneberg and Foldnes (2017) <doi:10.1007/s11336-017-9569-6>. See also Grønneberg, Foldnes and Marcoulides (2022) <doi:10.18637/jss.v102.i03>.
Alternatively, marginal skewness and kurtosis may be specified, for which the package
implements the IG (independent generator) and PLSIM (piecewise linear) algorithms, see Foldnes and Olsson (2016) <doi:10.1080/00273171.2015.1133274> and
Foldnes and Grønneberg (2021) <doi:10.1080/10705511.2021.1949323>, respectively.
Author: Njaal Foldnes [aut, cre],
Steffen Groenneberg [aut]
Maintainer: Njaal Foldnes <njal.foldnes@gmail.com>
Diff between covsim versions 1.0.0 dated 2022-04-29 and 1.1.0 dated 2024-05-31
covsim-1.0.0/covsim/inst/doc/vignette.R |only covsim-1.1.0/covsim/DESCRIPTION | 13 covsim-1.1.0/covsim/MD5 | 30 covsim-1.1.0/covsim/NEWS.md | 9 covsim-1.1.0/covsim/R/IG.R | 20 covsim-1.1.0/covsim/R/PLSIM.R | 38 covsim-1.1.0/covsim/R/solveparam.R | 2 covsim-1.1.0/covsim/R/vita.R | 35 covsim-1.1.0/covsim/build/vignette.rds |binary covsim-1.1.0/covsim/inst/doc/vignette.Rmd | 405 +++++++- covsim-1.1.0/covsim/inst/doc/vignette.html | 1128 +++++++++++++++++------- covsim-1.1.0/covsim/man/rIG.Rd | 13 covsim-1.1.0/covsim/tests |only covsim-1.1.0/covsim/vignettes/IG_PL-1.png |only covsim-1.1.0/covsim/vignettes/IG_PL-2.png |only covsim-1.1.0/covsim/vignettes/vignette.Rmd | 405 +++++++- covsim-1.1.0/covsim/vignettes/vignette.Rmd.orig |only covsim-1.1.0/covsim/vignettes/vita-1.png |only 18 files changed, 1606 insertions(+), 492 deletions(-)
Title: Identify Relevant Clinical Codes and Evaluate Their Use
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] ,
Marti Catala [ctb] ,
Xihang Chen [ctb]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>
Diff between CodelistGenerator versions 2.2.3 dated 2024-03-08 and 3.0 dated 2024-05-31
CodelistGenerator-2.2.3/CodelistGenerator/R/achillesCodeUse.R |only CodelistGenerator-2.2.3/CodelistGenerator/R/findOrphanCodes.R |only CodelistGenerator-2.2.3/CodelistGenerator/inst/doc/a04_codelists_for_medications.R |only CodelistGenerator-2.2.3/CodelistGenerator/inst/doc/a04_codelists_for_medications.Rmd |only CodelistGenerator-2.2.3/CodelistGenerator/inst/doc/a04_codelists_for_medications.html |only CodelistGenerator-2.2.3/CodelistGenerator/tests/testthat/test-achillesCodeUse.R |only CodelistGenerator-2.2.3/CodelistGenerator/tests/testthat/test-findOrphanCodes.R |only CodelistGenerator-2.2.3/CodelistGenerator/vignettes/a04_codelists_for_medications.Rmd |only CodelistGenerator-3.0/CodelistGenerator/DESCRIPTION | 30 CodelistGenerator-3.0/CodelistGenerator/MD5 | 119 CodelistGenerator-3.0/CodelistGenerator/NAMESPACE | 8 CodelistGenerator-3.0/CodelistGenerator/NEWS.md | 95 CodelistGenerator-3.0/CodelistGenerator/R/CodelistGenerator-package.R | 1 CodelistGenerator-3.0/CodelistGenerator/R/checks.R | 2 CodelistGenerator-3.0/CodelistGenerator/R/codesFromConceptSet.R | 113 CodelistGenerator-3.0/CodelistGenerator/R/codesInUse.R | 16 CodelistGenerator-3.0/CodelistGenerator/R/compareCodelists.R | 4 CodelistGenerator-3.0/CodelistGenerator/R/drugCodes.R | 666 - CodelistGenerator-3.0/CodelistGenerator/R/getCandidateCodes.R | 26 CodelistGenerator-3.0/CodelistGenerator/R/getICD10StandardCodes.R | 590 - CodelistGenerator-3.0/CodelistGenerator/R/getMappings.R | 4 CodelistGenerator-3.0/CodelistGenerator/R/inputValidation.R | 4 CodelistGenerator-3.0/CodelistGenerator/R/mockVocabRef.R | 12 CodelistGenerator-3.0/CodelistGenerator/R/runSearch.R | 1056 - CodelistGenerator-3.0/CodelistGenerator/R/summariseAchillesCodeUse.R |only CodelistGenerator-3.0/CodelistGenerator/R/summariseCodeUse.R | 861 - CodelistGenerator-3.0/CodelistGenerator/R/summariseOrphanCodes.R |only CodelistGenerator-3.0/CodelistGenerator/R/sysdata.rda |only CodelistGenerator-3.0/CodelistGenerator/R/tableAchillesCodeUse.R |only CodelistGenerator-3.0/CodelistGenerator/R/tableCodeUse.R |only CodelistGenerator-3.0/CodelistGenerator/R/vocabUtilities.R | 127 CodelistGenerator-3.0/CodelistGenerator/build/vignette.rds |binary CodelistGenerator-3.0/CodelistGenerator/inst/cohorts2 |only CodelistGenerator-3.0/CodelistGenerator/inst/concepts_dbms |only CodelistGenerator-3.0/CodelistGenerator/inst/doc/a01_Introduction_to_CodelistGenerator.html | 2 CodelistGenerator-3.0/CodelistGenerator/inst/doc/a02_Candidate_codes_OA.html | 2 CodelistGenerator-3.0/CodelistGenerator/inst/doc/a03_Options_for_CodelistGenerator.Rmd | 434 CodelistGenerator-3.0/CodelistGenerator/inst/doc/a03_Options_for_CodelistGenerator.html | 362 CodelistGenerator-3.0/CodelistGenerator/inst/doc/a04_Vocab_based_codelists.R |only CodelistGenerator-3.0/CodelistGenerator/inst/doc/a04_Vocab_based_codelists.Rmd |only CodelistGenerator-3.0/CodelistGenerator/inst/doc/a04_Vocab_based_codelists.html |only CodelistGenerator-3.0/CodelistGenerator/inst/not_all_concept_sets/cohort_def.json | 5706 +++++----- CodelistGenerator-3.0/CodelistGenerator/man/CodelistGenerator-package.Rd | 1 CodelistGenerator-3.0/CodelistGenerator/man/achillesCodeUse.Rd | 15 CodelistGenerator-3.0/CodelistGenerator/man/findOrphanCodes.Rd | 10 CodelistGenerator-3.0/CodelistGenerator/man/getConceptClassId.Rd | 60 CodelistGenerator-3.0/CodelistGenerator/man/getRelationshipId.Rd |only CodelistGenerator-3.0/CodelistGenerator/man/mockVocabRef.Rd | 2 CodelistGenerator-3.0/CodelistGenerator/man/summariseAchillesCodeUse.Rd |only CodelistGenerator-3.0/CodelistGenerator/man/summariseCodeUse.Rd | 5 CodelistGenerator-3.0/CodelistGenerator/man/summariseCohortCodeUse.Rd | 8 CodelistGenerator-3.0/CodelistGenerator/man/summariseOrphanCodes.Rd |only CodelistGenerator-3.0/CodelistGenerator/man/tableAchillesCodeUse.Rd |only CodelistGenerator-3.0/CodelistGenerator/man/tableCodeUse.Rd |only CodelistGenerator-3.0/CodelistGenerator/man/tableCohortCodeUse.Rd |only CodelistGenerator-3.0/CodelistGenerator/man/tableOrphanCodes.Rd |only CodelistGenerator-3.0/CodelistGenerator/tests/testthat/test-codesFrom.R | 17 CodelistGenerator-3.0/CodelistGenerator/tests/testthat/test-codesInUse.R | 152 CodelistGenerator-3.0/CodelistGenerator/tests/testthat/test-compareCodelists.R | 254 CodelistGenerator-3.0/CodelistGenerator/tests/testthat/test-dbms.R | 269 CodelistGenerator-3.0/CodelistGenerator/tests/testthat/test-drugCodes.R | 242 CodelistGenerator-3.0/CodelistGenerator/tests/testthat/test-getCandidateCodes.R | 648 - CodelistGenerator-3.0/CodelistGenerator/tests/testthat/test-getICD10StandardCodes.R | 155 CodelistGenerator-3.0/CodelistGenerator/tests/testthat/test-getMappings.R | 148 CodelistGenerator-3.0/CodelistGenerator/tests/testthat/test-mockVocabRef.R | 26 CodelistGenerator-3.0/CodelistGenerator/tests/testthat/test-summariseAchillesCodeUse.R |only CodelistGenerator-3.0/CodelistGenerator/tests/testthat/test-summariseCodeUse.R | 394 CodelistGenerator-3.0/CodelistGenerator/tests/testthat/test-summariseOrphanCodes.R |only CodelistGenerator-3.0/CodelistGenerator/tests/testthat/test-synthea_sql_server.R | 108 CodelistGenerator-3.0/CodelistGenerator/tests/testthat/test-tableAchillesCodeUse.R |only CodelistGenerator-3.0/CodelistGenerator/tests/testthat/test-tableCodeUse.R |only CodelistGenerator-3.0/CodelistGenerator/tests/testthat/test-vocabUtilities.R | 48 CodelistGenerator-3.0/CodelistGenerator/vignettes/a03_Options_for_CodelistGenerator.Rmd | 434 CodelistGenerator-3.0/CodelistGenerator/vignettes/a04_Vocab_based_codelists.Rmd |only 74 files changed, 6818 insertions(+), 6418 deletions(-)
More information about CodelistGenerator at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-03-04 2.3.0
2020-12-09 2.1.2
2019-12-05 2.1.0
2018-07-24 2.0.2
2018-07-03 2.0.1
2018-06-12 2.0.0
2016-12-08 1.2.1
2016-10-11 1.2.0
2016-07-11 1.1.3
2016-06-06 1.1.2
2016-05-18 1.1.1
2016-03-14 1.1
2016-02-01 1.0.3
2015-10-27 1.0.0
Title: Estimators for Two-Sample Capture-Recapture Studies
Description: A comprehensive implementation of Petersen-type estimators
and its many variants for two-sample capture-recapture studies.
A conditional likelihood approach is used that allows
for tag loss; non reporting of tags; reward tags; categorical, geographical and temporal stratification;
partial stratification; reverse capture-recapture;
and continuous variables in modeling the probability of capture.
Many examples from fisheries management are presented.
Author: Carl Schwarz [aut, cre]
Maintainer: Carl Schwarz <cschwarz.stat.sfu.ca@gmail.com>
Diff between Petersen versions 2023.12.1 dated 2023-11-12 and 2024.6.1 dated 2024-05-31
DESCRIPTION | 10 +++---- MD5 | 40 +++++++++++++++++-------------- NAMESPACE | 1 NEWS.md | 9 +++++++ R/LP_est.R | 8 ------ R/LP_fit.R | 10 +------ R/LP_for_rev.R |only R/data.R | 37 ++++++++++++++++++++++++++++- R/fit_classes.R | 4 +-- build/partial.rdb |binary build/vignette.rds |binary data/data_lfc_reverse.rda |only inst/doc/PackageDocumentation.html | 4 +-- man/LP_BTSPAS_fit_Diag.Rd | 3 +- man/LP_BTSPAS_fit_NonDiag.Rd | 3 +- man/LP_IS_fit.Rd | 3 +- man/LP_TL_fit.Rd | 3 +- man/LP_est.Rd | 39 +++++++++++++++++++++++++++++- man/LP_fit.Rd | 47 +++++++++++++++++++++++++++++++++---- man/LP_for_rev_fit.Rd |only man/data_lfc_reverse.Rd |only man/data_yukon_reverse.Rd | 2 - man/fit_classes.Rd | 4 +-- 23 files changed, 171 insertions(+), 56 deletions(-)
Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] ,
Zarathu [cph, fnd],
Yoonkyoung Jeon [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>
Diff between jstable versions 1.2.5 dated 2024-05-07 and 1.2.6 dated 2024-05-31
DESCRIPTION | 8 +-- MD5 | 10 ++-- NEWS.md | 4 + R/cox2.R | 7 +-- R/forestcox.R | 30 +++++++------ inst/doc/jstable.html | 108 ++++++++++++++++++++++---------------------------- 6 files changed, 82 insertions(+), 85 deletions(-)
Title: Interface for the 'QuickJS' Lightweight 'JavaScript' Engine
Description: An 'R' interface to the 'QuickJS' portable 'JavaScript'
engine. The engine and all 'R' to 'JavaScript' interopability is bundled
within the package, requiring no dependencies beyond a 'C' compiler.
Author: Andrew R. Johnson [aut, cre] ,
Fabrice Bellard [ctb, cph] ,
Charlie Gordon [ctb, cph]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>
Diff between QuickJSR versions 1.1.3 dated 2024-01-31 and 1.2.0 dated 2024-05-31
QuickJSR-1.1.3/QuickJSR/R/plugin.R |only QuickJSR-1.1.3/QuickJSR/src/quickjs/Makefile |only QuickJSR-1.1.3/QuickJSR/src/quickjsr_impl.c |only QuickJSR-1.1.3/QuickJSR/tests/testthat |only QuickJSR-1.1.3/QuickJSR/tests/testthat.R |only QuickJSR-1.2.0/QuickJSR/DESCRIPTION | 41 QuickJSR-1.2.0/QuickJSR/MD5 | 85 + QuickJSR-1.2.0/QuickJSR/NAMESPACE | 6 QuickJSR-1.2.0/QuickJSR/NEWS.md | 7 QuickJSR-1.2.0/QuickJSR/R/JSContext.R | 177 ++- QuickJSR-1.2.0/QuickJSR/R/flags.R | 1 QuickJSR-1.2.0/QuickJSR/R/qjs.R | 35 QuickJSR-1.2.0/QuickJSR/R/quickjsr-package.R | 3 QuickJSR-1.2.0/QuickJSR/R/utils.R | 19 QuickJSR-1.2.0/QuickJSR/README.md | 97 + QuickJSR-1.2.0/QuickJSR/inst |only QuickJSR-1.2.0/QuickJSR/man/JSContext-method-call.Rd |only QuickJSR-1.2.0/QuickJSR/man/JSContext-method-source.Rd |only QuickJSR-1.2.0/QuickJSR/man/JSContext-method-validate.Rd |only QuickJSR-1.2.0/QuickJSR/man/JSContext.Rd | 128 -- QuickJSR-1.2.0/QuickJSR/man/from_json.Rd |only QuickJSR-1.2.0/QuickJSR/man/qjs_eval.Rd | 3 QuickJSR-1.2.0/QuickJSR/man/to_json.Rd |only QuickJSR-1.2.0/QuickJSR/src/Makevars | 53 - QuickJSR-1.2.0/QuickJSR/src/init.cpp | 63 - QuickJSR-1.2.0/QuickJSR/src/quickjs/quickjs.c | 761 +++++++-------- QuickJSR-1.2.0/QuickJSR/src/quickjs/quickjs.h | 45 QuickJSR-1.2.0/QuickJSR/src/quickjsr.cpp | 205 ++-- QuickJSR-1.2.0/QuickJSR/tests/tinytest.R |only 29 files changed, 954 insertions(+), 775 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-12-21 0.9.0
2015-06-14 0.8.5