Title: Make 'PICRUSt2' Output Analysis and Visualization Easier
Description: Provides a convenient way to analyze and visualize 'PICRUSt2' output with pre-defined plots and functions. Allows for generating statistical plots about microbiome functional predictions and offers customization options. Features a one-click option for creating publication-level plots, saving time and effort in producing professional-grade figures. Streamlines the 'PICRUSt2' analysis and visualization process. For more details, see Yang et al. (2023) <doi:10.1093/bioinformatics/btad470>.
Author: Chen Yang [aut, cre],
Liangliang Zhang [aut]
Maintainer: Chen Yang <cafferychen7850@gmail.com>
Diff between ggpicrust2 versions 2.5.19 dated 2026-10-06 and 2.6.0 dated 2026-10-25
DESCRIPTION | 6 MD5 | 60 +-- NAMESPACE | 1 NEWS.md | 62 +++ R/data_documentation.R | 12 R/ggpicrust2.R | 8 R/ko2kegg_abundance.R | 58 +-- R/pathway_gsea.R | 248 ++++++++++++-- R/pathway_ridgeplot.R | 2 R/sysdata.rda |only R/taxa_contribution.R | 163 +++++++++ README.md | 8 build/vignette.rds |binary inst/doc/gsea_analysis.R | 16 inst/doc/gsea_analysis.Rmd | 83 +++-- inst/doc/gsea_analysis.html | 415 +++++++++++++------------ man/aggregate_taxa_contributions.Rd | 8 man/compare_taxa_contributions.Rd |only man/ggpicrust2.Rd | 8 man/ko2kegg_abundance.Rd | 46 +- man/ko_to_kegg_reference.Rd | 12 man/pathway_gsea.Rd | 121 +++++-- man/pathway_ridgeplot.Rd | 2 man/prepare_gene_sets.Rd | 13 man/run_limma_gsea.Rd | 11 tests/testthat/test-gsea-sequencing-depth.R |only tests/testthat/test-gsea-transformation.R | 44 ++ tests/testthat/test-ko2kegg_abundance.R | 14 tests/testthat/test-pathway_gsea.R | 20 + tests/testthat/test-reference_data_structure.R | 4 tests/testthat/test-taxa_contribution.R | 19 + tests/testthat/test-taxa_contribution_bounds.R |only vignettes/gsea_analysis.Rmd | 83 +++-- 33 files changed, 1090 insertions(+), 457 deletions(-)
Title: Test Data Engineering
Description: Implements comprehensive test data engineering methods as described in
Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for
engineering and processing test data: Classical Test Theory (CTT) with
reliability coefficients for continuous ability assessment; Item Response
Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information
functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank
Analysis (LRA) for ordinal clustering with automatic determination of cluster
numbers; Biclustering methods including infinite relational models for
simultaneous clustering of examinees and items without predefined cluster
numbers; and Bayesian Network Models (BNM) for visualizing inter-item
dependencies. Features local dependence analysis through LRA and biclustering,
parameter estimation, dimensionality assessment, and network structure
visualization for educational, psychological, and social science research.
Author: Koji Kosugi [aut, cre]
Maintainer: Koji Kosugi <kosugitti@gmail.com>
Diff between exametrika versions 2.1.0 dated 2026-09-24 and 2.2.0 dated 2026-10-25
exametrika-2.1.0/exametrika/tests/testthat/_problems |only exametrika-2.2.0/exametrika/DESCRIPTION | 8 exametrika-2.2.0/exametrika/MD5 | 244 +- exametrika-2.2.0/exametrika/NAMESPACE | 127 - exametrika-2.2.0/exametrika/NEWS.md | 323 +++ exametrika-2.2.0/exametrika/R/00_BiclusterInit.R |only exametrika-2.2.0/exametrika/R/00_BiclusterUtils.R | 96 exametrika-2.2.0/exametrika/R/00_EMclus.R | 7 exametrika-2.2.0/exametrika/R/00_EMclus_nominal.R | 21 exametrika-2.2.0/exametrika/R/00_GridSearch.R | 28 exametrika-2.2.0/exametrika/R/00_ModelFitModule.R | 26 exametrika-2.2.0/exametrika/R/00_VariationalFit.R |only exametrika-2.2.0/exametrika/R/00_exametrikaPlot.R | 3 exametrika-2.2.0/exametrika/R/00_isotonic_CORE.R | 43 exametrika-2.2.0/exametrika/R/00_plot_lca_lra.R | 7 exametrika-2.2.0/exametrika/R/00_plot_poly_biclustering.R | 12 exametrika-2.2.0/exametrika/R/00_print_biclustering.R | 16 exametrika-2.2.0/exametrika/R/00_print_ctt_irt.R | 4 exametrika-2.2.0/exametrika/R/00_print_lca_lra.R | 29 exametrika-2.2.0/exametrika/R/00_print_network.R | 19 exametrika-2.2.0/exametrika/R/00_release_bullets.R | 2 exametrika-2.2.0/exametrika/R/01_dataFormat.R | 94 exametrika-2.2.0/exametrika/R/02D_StudentAnalysis.R | 2 exametrika-2.2.0/exametrika/R/02E_ItemAssociation.R | 21 exametrika-2.2.0/exametrika/R/02F_ItemDifficulty.R | 19 exametrika-2.2.0/exametrika/R/03_CTT.R | 16 exametrika-2.2.0/exametrika/R/04A_IRTbaseFunctions.R | 2 exametrika-2.2.0/exametrika/R/04C_ParameterEstimation.R | 9 exametrika-2.2.0/exametrika/R/05_LCA.R | 67 exametrika-2.2.0/exametrika/R/06_LRA.R | 27 exametrika-2.2.0/exametrika/R/07_Biclustering.R | 68 exametrika-2.2.0/exametrika/R/07_IRM.R | 17 exametrika-2.2.0/exametrika/R/08A_BNM.R | 29 exametrika-2.2.0/exametrika/R/08C_BNM_GA.R | 15 exametrika-2.2.0/exametrika/R/09B_LDLRA_GA.R | 33 exametrika-2.2.0/exametrika/R/09_LDLRA.R | 8 exametrika-2.2.0/exametrika/R/10_LDB.R | 9 exametrika-2.2.0/exametrika/R/11_BINET.R | 4 exametrika-2.2.0/exametrika/R/12_LRA_ordinal.R | 82 exametrika-2.2.0/exametrika/R/13_LRA_rated.R | 87 exametrika-2.2.0/exametrika/R/14_grm.R | 26 exametrika-2.2.0/exametrika/R/15_Biclustering_nominal.R | 80 exametrika-2.2.0/exametrika/R/16_Biclustering_ordinal.R | 553 +++-- exametrika-2.2.0/exametrika/R/17_Biclustering_nominal_IRM.R | 47 exametrika-2.2.0/exametrika/R/18_Biclustering_ordinal_IRM.R | 76 exametrika-2.2.0/exametrika/R/19_Biclustering_rated.R | 14 exametrika-2.2.0/exametrika/R/20_Biclustering_rated_IRM.R | 22 exametrika-2.2.0/exametrika/R/21_DistractorAnalysis.R | 12 exametrika-2.2.0/exametrika/R/24_M2.R | 47 exametrika-2.2.0/exametrika/R/25_predict.R |only exametrika-2.2.0/exametrika/R/RcppExports.R | 4 exametrika-2.2.0/exametrika/inst/WORDLIST | 6 exametrika-2.2.0/exametrika/inst/doc/biclustering.html | 122 - exametrika-2.2.0/exametrika/inst/doc/getting-started.html | 2 exametrika-2.2.0/exametrika/inst/doc/guide-ja.R | 8 exametrika-2.2.0/exametrika/inst/doc/guide-ja.Rmd | 25 exametrika-2.2.0/exametrika/inst/doc/guide-ja.html | 300 +- exametrika-2.2.0/exametrika/inst/doc/irt.html | 62 exametrika-2.2.0/exametrika/inst/doc/latent-class-rank.R | 16 exametrika-2.2.0/exametrika/inst/doc/latent-class-rank.Rmd | 47 exametrika-2.2.0/exametrika/inst/doc/latent-class-rank.html | 326 +-- exametrika-2.2.0/exametrika/inst/doc/network-models.html | 8 exametrika-2.2.0/exametrika/man/BINET.Rd | 2 exametrika-2.2.0/exametrika/man/Biclustering.Rd | 70 exametrika-2.2.0/exametrika/man/Biclustering_IRM.Rd | 51 exametrika-2.2.0/exametrika/man/LCA.Rd | 16 exametrika-2.2.0/exametrika/man/LDB.Rd | 2 exametrika-2.2.0/exametrika/man/LDLRA.Rd | 2 exametrika-2.2.0/exametrika/man/LRA.Rd | 52 exametrika-2.2.0/exametrika/man/OmegaCoefficient.Rd | 2 exametrika-2.2.0/exametrika/man/RaschModel.Rd | 2 exametrika-2.2.0/exametrika/man/dataFormat.Rd | 7 exametrika-2.2.0/exametrika/man/predict.exametrika.Rd |only exametrika-2.2.0/exametrika/src/RcppExports.cpp | 9 exametrika-2.2.0/exametrika/src/grm_analytical.cpp | 11 exametrika-2.2.0/exametrika/src/isotonic_core.cpp | 139 - exametrika-2.2.0/exametrika/src/som_core.cpp | 3 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter05LCA_Class.csv | 2 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter05LCA_Item.csv | 30 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter05LCA_Student.csv | 1000 ++++----- exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter05LCA_Test.csv | 24 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter06LRA_GTMmic0_Item.csv | 30 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter06LRA_GTMmic0_Rank.csv | 2 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter06LRA_GTMmic0_Student.csv | 1000 ++++----- exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter06LRA_GTMmic0_Test.csv | 24 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter06LRA_GTMmic1_Item.csv | 30 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter06LRA_GTMmic1_Rank.csv | 2 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter06LRA_GTMmic1_Student.csv | 1000 ++++----- exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter06LRA_GTMmic1_Test.csv | 24 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter07Biclustering_Item.csv | 4 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter07Biclustering_Test.csv | 24 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter07Ranklustering_Item.csv | 26 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter07Ranklustering_Test.csv | 24 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter11BINET_CCRR.csv | 234 +- exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter11BINET_LDPSR.csv | 32 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter11BINET_Marginal_Bicluster.csv | 28 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter11BINET_Student.csv | 1030 +++++----- exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/Chapter11BINET_Test.csv | 16 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/TinyLCA_Class.csv | 2 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/TinyLCA_Item.csv | 30 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/TinyLCA_Test.csv | 12 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/TinyLRAmic0_Item.csv | 20 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/TinyLRAmic0_Rank.csv | 2 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/TinyLRAmic0_Test.csv | 24 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/TinyLRAmic1_Item.csv | 20 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/TinyLRAmic1_Rank.csv | 2 exametrika-2.2.0/exametrika/tests/testthat/fixtures/mathematica_reference/TinyLRAmic1_Test.csv | 24 exametrika-2.2.0/exametrika/tests/testthat/helper-comparison.R | 8 exametrika-2.2.0/exametrika/tests/testthat/test-dataFormat-edge.R | 18 exametrika-2.2.0/exametrika/tests/testthat/test-dataFormat.R | 18 exametrika-2.2.0/exametrika/tests/testthat/test-distractor.R | 11 exametrika-2.2.0/exametrika/tests/testthat/test-irm-nominal.R | 8 exametrika-2.2.0/exametrika/tests/testthat/test-irm-ordinal.R | 8 exametrika-2.2.0/exametrika/tests/testthat/test-irm-rated.R | 8 exametrika-2.2.0/exametrika/tests/testthat/test-irm.R | 8 exametrika-2.2.0/exametrika/tests/testthat/test-item-statistics.R | 2 exametrika-2.2.0/exametrika/tests/testthat/test-polytomous-biclustering-smoke.R |only exametrika-2.2.0/exametrika/tests/testthat/test-polytomous-biclustering.R | 218 +- exametrika-2.2.0/exametrika/tests/testthat/test-predict.R |only exametrika-2.2.0/exametrika/tests/testthat/test-tiny-lca.R | 31 exametrika-2.2.0/exametrika/tests/testthat/test-variational-fit.R |only exametrika-2.2.0/exametrika/vignettes/guide-ja.Rmd | 25 exametrika-2.2.0/exametrika/vignettes/latent-class-rank.Rmd | 47 123 files changed, 5393 insertions(+), 3534 deletions(-)
Title: Compositional Data Analysis with the Zero Adjusted Dirichlet
Distribution
Description: Regression, discriminant analysis, maximum likelihood estimation, random values generation, and contour plots of the zero adjusted Dirichlet distribution. The relevant paper is Tsagris M. and Stewart C. (2018). "A Dirichlet regression model for compositional data with zeros". Lobachevskii Journal of Mathematics, 39(3): 398--412. <doi:10.1134/S1995080218030198>.
Author: Michail Tsagris [aut, cre],
Christos Adam [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Diff between CompositionalZADR versions 1.0 dated 2026-09-07 and 1.1 dated 2026-10-25
DESCRIPTION | 20 ++- MD5 | 15 +- NAMESPACE | 6 - R/RcppExports.R |only R/zadr.irls.R | 202 ++++++++++++++++++++++++--------------- man/CompositionalZADR-package.Rd | 4 man/zadr.Rd | 5 src |only 8 files changed, 157 insertions(+), 95 deletions(-)
More information about CompositionalZADR at CRAN
Permanent link
Title: Exploring Water Quality Monitoring Data
Description: Functions to assist in the processing and
exploration of data from environmental monitoring programs.
The package name stands for "water quality" and reflects the
original focus on time series data for physical and chemical
properties of water, as well as the biota. Intended for
programs that sample approximately monthly, quarterly or
annually at discrete stations, a feature of many legacy data
sets. Most of the functions should be useful for analysis of
similar-frequency time series regardless of the subject
matter.
Author: Alan Jassby [aut],
James Cloern [ctb],
Jemma Stachelek [ctb, cre]
Maintainer: Jemma Stachelek <jemma.stachelek@gmail.com>
Diff between wql versions 1.0.3 dated 2025-09-02 and 1.0.4 dated 2026-10-25
DESCRIPTION | 15 +- MD5 | 59 +++++----- NAMESPACE | 152 ++++++++++++++------------ NEWS.md | 7 + R/date2decyear.R | 9 + R/eof.R | 2 R/layerMean.R | 9 + R/leapYear.R | 5 R/mannKen.R | 2 R/monthNum.R | 4 R/phenoAmp.R | 55 +++++++++ R/phenoPhase.R | 80 ++++++++++++++ R/tsMake.R | 75 +++++++++++++ R/wql-package.R | 260 ---------------------------------------------- R/years.R | 9 + README.md | 12 +- build/partial.rdb |binary build/vignette.rds |binary inst/doc/wql-package.R | 12 +- inst/doc/wql-package.html | 57 +++++----- man/date2decyear.Rd | 10 + man/layerMean.Rd | 10 + man/leapYear.Rd | 6 + man/misc.Rd |only man/monthNum.Rd | 5 man/phenoAmp.Rd | 14 ++ man/phenoPhase.Rd | 13 +- man/tsMake.Rd | 5 man/wql-package.Rd | 4 man/years.Rd | 74 +------------ tests |only 31 files changed, 480 insertions(+), 485 deletions(-)
Title: Tidy Tools for Actuarial Mathematics and Life Contingencies
Description: Provides tidyverse-aligned tools for actuarial mathematics
and life contingencies, including life tables, survival probabilities,
actuarial present values of cash flows, life annuities, life insurance,
premiums, reserves, multiple-life calculations, Monte Carlo simulation,
collective risk models, insurance coverage, tail risk measures, and
deterministic cash-flow diagrams. The package emphasizes clear
actuarial notation, reproducible workflows, and pipe-friendly tools for
actuarial education and applied actuarial analysis.
Author: Julian Fajardo [aut, cre]
Maintainer: Julian Fajardo <julian.fajardo1908@gmail.com>
Diff between tidyactuarial versions 0.1.5 dated 2026-07-27 and 0.2.0 dated 2026-10-25
tidyactuarial-0.1.5/tidyactuarial/R/contract_components_xy_corrected.R |only tidyactuarial-0.2.0/tidyactuarial/DESCRIPTION | 17 tidyactuarial-0.2.0/tidyactuarial/MD5 | 552 ++-- tidyactuarial-0.2.0/tidyactuarial/NAMESPACE | 42 tidyactuarial-0.2.0/tidyactuarial/NEWS.md | 456 +++ tidyactuarial-0.2.0/tidyactuarial/R/a_angle.R | 79 tidyactuarial-0.2.0/tidyactuarial/R/accrued_interest.R |only tidyactuarial-0.2.0/tidyactuarial/R/accumulation_factor.R | 44 tidyactuarial-0.2.0/tidyactuarial/R/aggregate-distribution.R |only tidyactuarial-0.2.0/tidyactuarial/R/aggregate-moments.R |only tidyactuarial-0.2.0/tidyactuarial/R/amort_schedule.R | 86 tidyactuarial-0.2.0/tidyactuarial/R/amort_schedule_general.R | 62 tidyactuarial-0.2.0/tidyactuarial/R/annuity_arith.R | 43 tidyactuarial-0.2.0/tidyactuarial/R/annuity_geom.R | 122 tidyactuarial-0.2.0/tidyactuarial/R/annuity_multi.R | 414 --- tidyactuarial-0.2.0/tidyactuarial/R/annuity_x.R | 220 + tidyactuarial-0.2.0/tidyactuarial/R/annuity_xy.R | 264 - tidyactuarial-0.2.0/tidyactuarial/R/apply_coverage.R |only tidyactuarial-0.2.0/tidyactuarial/R/apv_life_flow.R | 815 +++-- tidyactuarial-0.2.0/tidyactuarial/R/bond_book_value.R | 51 tidyactuarial-0.2.0/tidyactuarial/R/bond_callable_price.R | 36 tidyactuarial-0.2.0/tidyactuarial/R/bond_cash_flow.R | 27 tidyactuarial-0.2.0/tidyactuarial/R/bond_convexity.R | 72 tidyactuarial-0.2.0/tidyactuarial/R/bond_duration.R | 73 tidyactuarial-0.2.0/tidyactuarial/R/bond_price.R | 42 tidyactuarial-0.2.0/tidyactuarial/R/bond_ytm.R | 74 tidyactuarial-0.2.0/tidyactuarial/R/bootstrap_spot_curve.R |only tidyactuarial-0.2.0/tidyactuarial/R/collective-risk-spec.R |only tidyactuarial-0.2.0/tidyactuarial/R/conmutation_table.R | 362 +- tidyactuarial-0.2.0/tidyactuarial/R/contract_components.R | 208 - tidyactuarial-0.2.0/tidyactuarial/R/convexity_cash_flow.R | 59 tidyactuarial-0.2.0/tidyactuarial/R/coverage_spec.R |only tidyactuarial-0.2.0/tidyactuarial/R/discount_factor.R | 18 tidyactuarial-0.2.0/tidyactuarial/R/discount_factor_spot.R | 17 tidyactuarial-0.2.0/tidyactuarial/R/discretize-severity.R |only tidyactuarial-0.2.0/tidyactuarial/R/distribution-convolution.R |only tidyactuarial-0.2.0/tidyactuarial/R/distribution_moments.R |only tidyactuarial-0.2.0/tidyactuarial/R/duration_cash_flow.R | 64 tidyactuarial-0.2.0/tidyactuarial/R/e_x.R | 538 ++- tidyactuarial-0.2.0/tidyactuarial/R/e_xy.R | 97 tidyactuarial-0.2.0/tidyactuarial/R/empirical-frequency.R |only tidyactuarial-0.2.0/tidyactuarial/R/empirical-severity.R |only tidyactuarial-0.2.0/tidyactuarial/R/forward_curve.R |only tidyactuarial-0.2.0/tidyactuarial/R/forward_rate.R | 1141 ++++---- tidyactuarial-0.2.0/tidyactuarial/R/frequency-spec.R |only tidyactuarial-0.2.0/tidyactuarial/R/future_value.R | 24 tidyactuarial-0.2.0/tidyactuarial/R/fv_flow.R | 35 tidyactuarial-0.2.0/tidyactuarial/R/inmunize_duration.R | 109 tidyactuarial-0.2.0/tidyactuarial/R/inmunize_duration_convexity.R | 130 tidyactuarial-0.2.0/tidyactuarial/R/insurance_variable_k.R | 97 tidyactuarial-0.2.0/tidyactuarial/R/insurance_x.R | 174 - tidyactuarial-0.2.0/tidyactuarial/R/insurance_xj.R | 97 tidyactuarial-0.2.0/tidyactuarial/R/insurance_xy.R | 256 - tidyactuarial-0.2.0/tidyactuarial/R/interest_equivalents.R | 21 tidyactuarial-0.2.0/tidyactuarial/R/irr_flow.R | 23 tidyactuarial-0.2.0/tidyactuarial/R/irr_flow_multi.R | 31 tidyactuarial-0.2.0/tidyactuarial/R/km_lifetable.R | 601 ++-- tidyactuarial-0.2.0/tidyactuarial/R/life_contract.R | 18 tidyactuarial-0.2.0/tidyactuarial/R/lifetable.R | 719 ++--- tidyactuarial-0.2.0/tidyactuarial/R/mc-utils.R | 55 tidyactuarial-0.2.0/tidyactuarial/R/mc_annuity.R | 63 tidyactuarial-0.2.0/tidyactuarial/R/mc_insurance.R | 45 tidyactuarial-0.2.0/tidyactuarial/R/mc_loss.R | 40 tidyactuarial-0.2.0/tidyactuarial/R/mc_multilife_status.R | 30 tidyactuarial-0.2.0/tidyactuarial/R/mc_premium.R | 65 tidyactuarial-0.2.0/tidyactuarial/R/mc_reserve.R | 192 - tidyactuarial-0.2.0/tidyactuarial/R/md_table.R | 355 +- tidyactuarial-0.2.0/tidyactuarial/R/mortality_law_table.R | 1379 +++++----- tidyactuarial-0.2.0/tidyactuarial/R/par_rate.R |only tidyactuarial-0.2.0/tidyactuarial/R/plot_cash_flow.R | 1131 ++++---- tidyactuarial-0.2.0/tidyactuarial/R/plot_contingent_cash_flow.R |only tidyactuarial-0.2.0/tidyactuarial/R/plot_inmunization_gap.R | 64 tidyactuarial-0.2.0/tidyactuarial/R/plot_km.R | 326 +- tidyactuarial-0.2.0/tidyactuarial/R/portfolio_convexity.R | 27 tidyactuarial-0.2.0/tidyactuarial/R/portfolio_duration.R | 27 tidyactuarial-0.2.0/tidyactuarial/R/premium_gross.R | 84 tidyactuarial-0.2.0/tidyactuarial/R/premium_x.R | 40 tidyactuarial-0.2.0/tidyactuarial/R/premium_xy.R | 37 tidyactuarial-0.2.0/tidyactuarial/R/present_value.R | 23 tidyactuarial-0.2.0/tidyactuarial/R/pv_flow.R | 14 tidyactuarial-0.2.0/tidyactuarial/R/reserve_x.R | 118 tidyactuarial-0.2.0/tidyactuarial/R/reserve_xy.R | 154 - 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Title: Sampling Variance Estimation
Description: Functions to calculate some point estimators and estimate their variance under unequal probability sampling without replacement. Single and two-stage sampling designs are considered. Some approximations for the second-order inclusion probabilities (joint inclusion probabilities) are available (sample and population based). A variety of Jackknife variance estimators are implemented. Almost every function is written in C (compiled) code for faster results. The functions incorporate some performance improvements for faster results with large datasets.
Author: Emilio Lopez Escobar [aut, cre, cph],
Ernesto Barrios Zamudio [ctb],
Juan Francisco Munoz Rosas [ctb]
Maintainer: Emilio Lopez Escobar <emilio@quantos.mx>
Diff between samplingVarEst versions 1.5 dated 2023-01-14 and 1.6 dated 2026-10-25
ChangeLog | 21 +++++++++++++++++++++ DESCRIPTION | 22 ++++++++++++++-------- MD5 | 37 +++++++++++++++++++------------------ R/Est_EmpDistFunc_Hajek.r | 1 - R/Est_EmpDistFunc_NHT.r | 1 - R/Pk_PropNorm_U.R | 2 ++ R/VE_Jk_EB_SW2_Corr_Hajek.r | 2 +- R/VE_Jk_EB_SW2_Ratio.r | 2 +- R/VE_Jk_EB_SW2_RegCoI_Hajek.r | 2 +- R/VE_Jk_EB_SW2_RegCo_Hajek.r | 2 +- R/VE_Jk_Tukey_Corr_Hajek.r | 2 +- R/VE_Jk_Tukey_Corr_NHT.r | 2 +- R/VE_Jk_Tukey_Ratio.r | 2 +- R/VE_Jk_Tukey_RegCoI_Hajek.r | 2 +- R/VE_Jk_Tukey_RegCo_Hajek.r | 2 +- R/VE_Lin_HT_Ratio.r | 2 +- R/VE_Lin_SYG_Ratio.r | 2 +- README | 9 +++++---- inst/CITATION | 30 ++++++++++++++---------------- tests |only 20 files changed, 86 insertions(+), 59 deletions(-)
More information about samplingVarEst at CRAN
Permanent link
Title: Retrieval-Augmented Generation and RAG Evaluation Tools in R
Description: Provides tools for document ingestion, embedding storage,
retrieval-augmented generation (RAG), and RAG evaluation for question
answering systems. The package includes an R-native vector store, wrappers
for OpenAI embedding and chat-completion APIs, QA logging utilities, and
LLM-scored RAGAS-style evaluation metrics.
Author: Muhammad Aimal Rehman [aut, cre],
Zhili Lu [aut],
Seoyoung Kim [aut],
Chi-Kuang Yeh [aut]
Maintainer: Muhammad Aimal Rehman <rehman.aimal@gmail.com>
Diff between ragR versions 0.1.0 dated 2026-07-22 and 0.1.1 dated 2026-10-25
DESCRIPTION | 48 --- MD5 | 81 ++--- NEWS.md |only R/api_handlers.R | 476 ++++++------------------------- R/ingestion_files.R | 375 ++++++------------------ R/qa_persistence.R | 79 +---- R/ragR_overview.R | 187 +++++------- R/rag_pipeline.R | 71 ---- R/ragas_metrics.R | 9 R/ragas_report.R | 172 ++--------- R/ragas_summary.R | 140 +-------- R/vectorstore_interface.R | 416 ++++----------------------- README.md | 536 ++++++++++++----------------------- inst/WORDLIST | 8 inst/api/pr_chat.R | 40 -- inst/api/pr_clear.R | 36 -- inst/api/pr_ragas.R |only man/api_chat_handler.Rd | 10 man/api_clear_all_handler.Rd | 20 - man/api_clear_handler.Rd | 25 - man/api_ragas_clear_handler.Rd | 37 -- man/api_ragas_handler.Rd | 27 - man/api_ragas_report_handler.Rd | 32 -- man/chunk_text_sentence.Rd | 10 man/clear_qa_log.Rd | 12 man/clear_qa_metrics.Rd | 12 man/generate_ragas_report.Rd | 36 -- man/generate_ragas_report_llm.Rd | 26 - man/ingest_documents.Rd | 85 +---- man/load_qa_log.Rd | 11 man/load_qa_metrics.Rd | 11 man/plot_ragas_means.Rd | 26 - man/query_rag.Rd | 25 - man/ragR-package.Rd | 160 ++++------ man/save_qa_log.Rd | 16 - man/save_qa_metrics.Rd | 17 - man/vectorstore_clear_all.Rd | 29 - man/vectorstore_delete_collection.Rd | 32 -- man/vectorstore_load.Rd | 24 - man/vectorstore_query.Rd | 43 -- man/vectorstore_upsert.Rd | 52 --- tests/testthat/db |only tests/testthat/test_vectorstore.R | 317 +++++++------------- 43 files changed, 1055 insertions(+), 2714 deletions(-)
Title: Interactive ADMET and Drug-Likeness Analysis of Small Molecules
Description: Provides an interactive Shiny application and a toolbox of
R functions for the management, calculation, filtering, visualization and
exploratory analysis of molecular descriptors and ADMET (Absorption,
Distribution, Metabolism, Excretion and Toxicity) properties of small
molecules. Computes descriptors locally via the Chemistry Development
Kit (CDK), and offers drug-likeness filters (Lipinski, Veber, Ghose,
Egan, Muegge), the BOILED-Egg model for gastrointestinal absorption
and blood-brain barrier permeability, a P-glycoprotein (P-gp, also
known as ATP-binding cassette sub-family B member 1, ABCB1) substrate
Random Forest classifier, Principal Component Analysis (PCA),
t-Distributed Stochastic Neighbor Embedding (t-SNE), Uniform Manifold
Approximation and Projection (UMAP), radar plots and Tanimoto /
AGglomerative NESting (AGNES) clustering to support compound
prioritization in early-stage drug discovery.
Author: Xavier Clemente Garcia Cevallos [aut, cre]
Maintainer: Xavier Clemente Garcia Cevallos <xgarcia@unicauca.edu.co>
Diff between admetshiny versions 1.0.0 dated 2026-09-30 and 1.0.1 dated 2026-10-25
DESCRIPTION | 17 MD5 | 47 NAMESPACE | 10 NEWS.md |only R/admet_master.R | 796 +++++----- R/admetshiny-package.R | 238 +-- R/app_server.R | 3344 +++++++++++++++++++++++----------------------- R/cdk_webchem.R | 18 R/dark_mode.R | 211 +- R/globals.R | 44 R/plots.R | 200 ++ R/plots_cluster.R | 20 R/report.R | 13 R/ui_about.R | 35 R/ui_cdk.R | 840 +++++------ R/ui_docs.R | 205 +- R/ui_home.R | 2 README.md | 5 build/vignette.rds |binary inst/WORDLIST |only inst/doc/admetshiny.html | 4 inst/www/hexicon.png |binary man/admetshiny-package.Rd | 2 man/plotClusterHeatmap.Rd | 2 man/plotRadar.Rd | 2 tests/spelling.R |only 26 files changed, 3166 insertions(+), 2889 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2026-10-23 0.1.0
2024-06-20 0.0-6
2024-06-13 0.0-4
2024-06-12 0.0-3
2024-05-19 0.0-2
2024-05-17 0.0-1