Package: docopulae 0.4.0
docopulae: Optimal Designs for Copula Models
A direct approach to optimal designs for copula models based on the Fisher information. Provides flexible functions for building joint PDFs, evaluating the Fisher information and finding optimal designs. It includes an extensible solution to summation and integration called 'nint', functions for transforming, plotting and comparing designs, as well as a set of tools for common low-level tasks.
Authors:
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docopulae.pdf |docopulae.html✨
docopulae/json (API)
NEWS
# Install 'docopulae' in R: |
install.packages('docopulae', repos = c('https://arappold.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/arappold/docopulae/issues
Last updated 6 years agofrom:c7fa4da596. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win-x86_64 | OK | Nov 01 2024 |
R-4.5-linux-x86_64 | OK | Nov 01 2024 |
R-4.4-win-x86_64 | OK | Nov 01 2024 |
R-4.4-mac-x86_64 | OK | Nov 01 2024 |
R-4.4-mac-aarch64 | OK | Nov 01 2024 |
R-4.3-win-x86_64 | OK | Nov 01 2024 |
R-4.3-mac-x86_64 | OK | Nov 01 2024 |
R-4.3-mac-aarch64 | OK | Nov 01 2024 |
Exports:buildfDefficiencyDeriv2LogfDerivLogfdesignDsensitivityfisherIgetMgrow.gridintegrateAnint_expandSpacenint_funcDimnint_gridDimnint_integratenint_integrateNCubenint_integrateNCube_cubaturenint_integrateNCube_integratenint_integrateNCube_SparseGridnint_integrateNFuncnint_integrateNFunc_recursivenint_intvDimnint_scatDimnint_spacenint_tanTransformnint_transformnint_TYPE_FUNC_DIMnint_TYPE_GRID_DIMnint_TYPE_INTV_DIMnint_TYPE_SCAT_DIMnint_validateSpacenumDeriv2LogfnumDerivLogfparamreducerowmatchroworderrowsduplicatedseq1wDefficiencywDsensitivityWynn
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Build probability density or mass Function | buildf |
D Efficiency | Defficiency |
Build Derivative Function for Log f | Deriv2Logf DerivLogf |
Design | design |
Design of Experiments with Copulas | docopulae-package docopulae |
D Sensitivity | Dsensitivity |
Fisher Information | fisherI |
Get Fisher Information | getM |
Grow Grid | grow.grid |
Integrate Alternative | integrateA |
Space Validation Errors | nint_ERROR nint_ERROR_DIM_TYPE nint_ERROR_SCATTER_LENGTH nint_ERROR_SPACE_DIM nint_ERROR_SPACE_TYPE |
Expand Space | nint_expandSpace |
Function Dimension | nint_funcDim |
Grid Dimension | nint_gridDim |
Integrate | nint_integrate |
Integrate Hypercube | nint_integrateNCube nint_integrateNCube_cubature nint_integrateNCube_integrate nint_integrateNCube_SparseGrid |
Integrate N Function | nint_integrateNFunc nint_integrateNFunc_recursive |
Interval Dimension | nint_intvDim |
Scatter Dimension | nint_scatDim |
Space | nint_space |
Tangent Transform | nint_tanTransform |
Transform Integral | nint_transform |
Dimension Type Attribute Values | nint_TYPE nint_TYPE_FUNC_DIM nint_TYPE_GRID_DIM nint_TYPE_INTV_DIM nint_TYPE_SCAT_DIM |
Validate Space | nint_validateSpace |
Build Derivative Function for Log f | numDeriv2Logf numDerivLogf |
Parametric Model | param |
Plot Design | plot.desigh |
Print Space | print.nint_space |
Reduce Design | reduce |
Row Matching | rowmatch |
Matrix Ordering Permutation | roworder |
Determine Duplicate Rows | rowsduplicated |
Sequence Generation | seq1 |
Update Parametric Model | update.param |
Weighted D Efficiency | wDefficiency |
Weighted D Sensitivity | wDsensitivity |
Wynn | Wynn |