Package: qrmtools 0.0-19
qrmtools: Tools for Quantitative Risk Management
Functions and data sets for reproducing selected results from the book "Quantitative Risk Management: Concepts, Techniques and Tools". Furthermore, new developments and auxiliary functions for Quantitative Risk Management practice.
Authors:
qrmtools_0.0-19.tar.gz
qrmtools_0.0-19.zip(r-4.7)qrmtools_0.0-19.zip(r-4.6)qrmtools_0.0-19.zip(r-4.5)
qrmtools_0.0-19.tgz(r-4.6-x86_64)qrmtools_0.0-19.tgz(r-4.6-arm64)qrmtools_0.0-19.tgz(r-4.5-x86_64)qrmtools_0.0-19.tgz(r-4.5-arm64)
qrmtools_0.0-19.tar.gz(r-4.7-arm64)qrmtools_0.0-19.tar.gz(r-4.7-x86_64)qrmtools_0.0-19.tar.gz(r-4.6-arm64)qrmtools_0.0-19.tar.gz(r-4.6-x86_64)
qrmtools_0.0-19.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
qrmtools/json (API)
NEWS
| # Install 'qrmtools' in R: |
| install.packages('qrmtools', repos = c('https://mariushofert.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:6f62184eb6. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 164 | ||
| linux-devel-x86_64 | OK | 179 | ||
| source / vignettes | OK | 243 | ||
| linux-release-arm64 | OK | 171 | ||
| linux-release-x86_64 | OK | 180 | ||
| macos-release-arm64 | OK | 130 | ||
| macos-release-x86_64 | OK | 214 | ||
| macos-oldrel-arm64 | OK | 121 | ||
| macos-oldrel-x86_64 | OK | 208 | ||
| windows-devel | OK | 140 | ||
| windows-release | OK | 163 | ||
| windows-oldrel | OK | 133 | ||
| wasm-release | OK | 112 |
Exports:ABRAalloc_ellipalloc_npARABlack_ScholesBlack_Scholes_Greeksblock_rearrangecatchconditioningcrude_VaR_boundsdeBrowningdGEVdGPDdGPDtaildPardual_boundedf_ploteqf_plotES_GPDES_GPDtailES_npES_ParES_tES_t01fit_ARMA_GARCHfit_GARCH_11fit_GEV_MLEfit_GEV_PWMfit_GEV_quantilefit_GPD_MLEfit_GPD_MOMfit_GPD_PWMget_dataGEV_shape_plotgEXGPD_shape_plotgVaRhierarchical_matrixHill_estimatorHill_plotlogLik_GEVlogLik_GPDmaha2_testmardia_testmatrix_density_plotmatrix_plotmean_excess_GPDmean_excess_npmean_excess_plotNA_plotpGEVpGPDpGPDtailpp_plotpParqGEVqGPDqGPDtailqParqq_plotRArBrownianrearrangereturnsreturns_qrmtoolsrGEVrGPDrGPDtailrParRVaR_npstep_plottail_index_GARCH_11tail_plotVaR_bounds_homVaR_GPDVaR_GPDtailVaR_npVaR_ParVaR_tVaR_t01
Dependencies:ADGofTestchroncodetoolscurldigestDistributionUtilsFNNfracdifffuturefuture.applyGeneralizedHyperbolicglobalsjsonlitekernlabKernSmoothkslatticelistenvMASSMatrixmclustmgcvmulticoolmvtnormnlmenloptrnumDerivparallellypracmaquantmodRcppRcppArmadilloRsolnprugarchSkewHyperbolicspdtruncnormTTRxtszoo
Fitting and Predicting VaR based on an ARMA-GARCH Process
Rendered fromARMA_GARCH_VaR.Rmdusingknitr::rmarkdownon May 09 2026.Last update: 2022-05-31
Started: 2015-11-10
Geometric Risk Measures
Rendered fromgeometric_risk_measures.Rmdusingknitr::rmarkdownon May 09 2026.Last update: 2020-01-13
Started: 2017-06-16
Worst Value-at-Risk under Known Margins
Rendered fromVaR_bounds.Rmdusingknitr::rmarkdownon May 09 2026.Last update: 2020-01-13
Started: 2015-11-10
