Package: actxps 1.5.0
Matt Heaphy
actxps: Create Actuarial Experience Studies: Prepare Data, Summarize Results, and Create Reports
Experience studies are used by actuaries to explore historical experience across blocks of business and to inform assumption setting activities. This package provides functions for preparing data, creating studies, visualizing results, and beginning assumption development. Experience study methods, including exposure calculations, are described in: Atkinson & McGarry (2016) "Experience Study Calculations" <https://www.soa.org/49378a/globalassets/assets/files/research/experience-study-calculations.pdf>. The limited fluctuation credibility method used by the 'exp_stats()' function is described in: Herzog (1999, ISBN:1-56698-374-6) "Introduction to Credibility Theory".
Authors:
actxps_1.5.0.tar.gz
actxps_1.5.0.zip(r-4.5)actxps_1.5.0.zip(r-4.4)actxps_1.5.0.zip(r-4.3)
actxps_1.5.0.tgz(r-4.4-any)actxps_1.5.0.tgz(r-4.3-any)
actxps_1.5.0.tar.gz(r-4.5-noble)actxps_1.5.0.tar.gz(r-4.4-noble)
actxps_1.5.0.tgz(r-4.4-emscripten)actxps_1.5.0.tgz(r-4.3-emscripten)
actxps.pdf |actxps.html✨
actxps/json (API)
NEWS
| # Install 'actxps' in R: |
| install.packages('actxps', repos = c('https://mattheaphy.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mattheaphy/actxps/issues
- account_vals - Simulated annuity data
- agg_sim_dat - Aggregate simulated annuity data
- census_dat - Simulated annuity data
- qx_iamb - 2012 Individual Annuity Mortality Table and Projection Scale G2
- scale_g2 - 2012 Individual Annuity Mortality Table and Projection Scale G2
- toy_census - Toy policy census data
- withdrawals - Simulated annuity data
Last updated 5 months agofrom:d518aa99bb. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 22 2024 |
| R-4.5-win | OK | Oct 22 2024 |
| R-4.5-linux | OK | Oct 22 2024 |
| R-4.4-win | OK | Oct 22 2024 |
| R-4.4-mac | OK | Oct 22 2024 |
| R-4.3-win | OK | Oct 22 2024 |
| R-4.3-mac | OK | Oct 22 2024 |
Exports:add_predictionsadd_transactionsanti_joinarrangeas_exp_dfas_exposed_dfas_trx_dfautoplotautotablebakeexp_shinyexp_statsexposeexpose_cmexpose_cqexpose_cwexpose_cyexpose_pmexpose_pqexpose_pwexpose_pyexpose_splitfilterfull_joingroup_bygroupsinner_joinis_exp_dfis_exposed_dfis_split_exposed_dfis_trx_dfleft_joinmutateplot_actual_to_expectedplot_termination_ratesplot_utilization_ratespol_mthpol_qtrpol_wkpol_yrpreprelocaterenameright_joinselectsemi_joinslicestep_exposetidytrx_statsungroup
Dependencies:base64encbigDbitbit64bitopsbslibcachemclassclicliprclockcodetoolscolorspacecommonmarkcpp11crayoncurldata.tablediagramdigestdplyrevaluatefansifarverfastmapfontawesomefsfuturefuture.applygenericsggplot2globalsgluegowergtgtablehardhathighrhmshtmltoolshtmlwidgetsipredisobandjquerylibjsonlitejuicyjuiceKernSmoothknitrlabelinglatticelavalifecyclelistenvlubridatemagrittrmarkdownMASSMatrixmemoisemgcvmimemunsellnlmennetnumDerivpaletteerparallellypillarpkgconfigprettyunitsprismaticprodlimprogressprogressrpurrrR6rappdirsRColorBrewerRcppreactablereactRreadrrecipesrematch2rlangrmarkdownrpartrstudioapisassscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8V8vctrsviridisLitevroomwithrxfunxml2yaml
Experience summaries
Rendered fromexp_summary.Rmdusingknitr::rmarkdownon Oct 22 2024.Last update: 2024-04-14
Started: 2023-01-22
Exposure calculations
Rendered fromexposures.Rmdusingknitr::rmarkdownon Oct 22 2024.Last update: 2024-04-14
Started: 2023-01-22
Getting started with actxps
Rendered fromactxps.Rmdusingknitr::rmarkdownon Oct 22 2024.Last update: 2024-04-14
Started: 2023-01-10
Other functions
Rendered frommisc.Rmdusingknitr::rmarkdownon Oct 22 2024.Last update: 2024-04-14
Started: 2023-03-04
Transaction studies
Rendered fromtransactions.Rmdusingknitr::rmarkdownon Oct 22 2024.Last update: 2023-11-25
Started: 2023-03-04
