Package: RWiener 1.3-3
RWiener: Wiener Process Distribution Functions
Provides Wiener process distribution functions, namely the Wiener first passage time density, CDF, quantile and random functions. Additionally supplies a modelling function (wdm) and further methods for the resulting object.
Authors:
RWiener_1.3-3.tar.gz
RWiener_1.3-3.zip(r-4.5)RWiener_1.3-3.zip(r-4.4)RWiener_1.3-3.zip(r-4.3)
RWiener_1.3-3.tgz(r-4.4-x86_64)RWiener_1.3-3.tgz(r-4.4-arm64)RWiener_1.3-3.tgz(r-4.3-x86_64)RWiener_1.3-3.tgz(r-4.3-arm64)
RWiener_1.3-3.tar.gz(r-4.5-noble)RWiener_1.3-3.tar.gz(r-4.4-noble)
RWiener_1.3-3.tgz(r-4.4-emscripten)RWiener_1.3-3.tgz(r-4.3-emscripten)
RWiener.pdf |RWiener.html✨
RWiener/json (API)
| # Install 'RWiener' in R: |
| install.packages('RWiener', repos = c('https://yeagle.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yeagle/rwiener/issues
Last updated 5 years agofrom:1431cd2e9b. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 06 2024 |
| R-4.5-win-x86_64 | OK | Nov 06 2024 |
| R-4.5-linux-x86_64 | OK | Nov 06 2024 |
| R-4.4-win-x86_64 | OK | Nov 06 2024 |
| R-4.4-mac-x86_64 | OK | Nov 06 2024 |
| R-4.4-mac-aarch64 | OK | Nov 06 2024 |
| R-4.3-win-x86_64 | OK | Nov 06 2024 |
| R-4.3-mac-x86_64 | OK | Nov 06 2024 |
| R-4.3-mac-aarch64 | OK | Nov 06 2024 |
Exports:AIC.wdmanova.wdmas.wienerBIC.wdmconfint.wdmdeviance.wdmdwienerestfunestfun.wdmis.wienerlogLik.wdmprint.summary.wdmprint.wdmprint.wwaldtpwienerqwienerrevamprevamp.data.framerevamp.data.wienerrevamp.numdata.wienerrwienerscorefunscorefun.wdmsummary.wdmvcov.wdmwaldtestwaldtest.wdmwdmwiener_aicwiener_bicwiener_deviancewiener_likelihoodwiener_plot
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Wiener likelihood and criterion functions (deprecated) | wiener_aic wiener_bic wiener_deviance wiener_likelihood |
| Likelihood and criterion functions for wdm | AIC.wdm BIC.wdm deviance.wdm logLik.wdm |
| Miscellaneous Wiener Diffusion model functions | as.wiener data.wiener is.wiener numdata.wiener revamp revamp.data.frame revamp.data.wiener revamp.numdata.wiener |
| Wiener plot function | plot.data.wiener wiener_plot |
| Wiener functions internals | cparvec efn esvec mle nlogLik.wiener verifypars wlrt |
| Extract Empirical Estimating Functions | estfun estfun.wdm scorefun scorefun.wdm |
| Wiener Diffusion model test functions | anova.wdm print.wwaldt waldtest waldtest.wdm |
| Wiener diffusion model fit function | confint.wdm print.summary.wdm print.wdm summary.wdm vcov.wdm wdm |
| Wiener process distribution functions | dwiener pwiener qwiener rwiener |
