Package: DPQ 0.5-9-1
DPQ: Density, Probability, Quantile ('DPQ') Computations
Computations for approximations and alternatives for the 'DPQ' (Density (pdf), Probability (cdf) and Quantile) functions for probability distributions in R. Primary focus is on (central and non-central) beta, gamma and related distributions such as the chi-squared, F, and t. -- For several distribution functions, provide functions implementing formulas from Johnson, Kotz, and Kemp (1992) <doi:10.1002/bimj.4710360207> and Johnson, Kotz, and Balakrishnan (1995) for discrete or continuous distributions respectively. This is for the use of researchers in these numerical approximation implementations, notably for my own use in order to improve standard R pbeta(), qgamma(), ..., etc: {'"dpq"'-functions}.
Authors:
DPQ_0.5-9-1.tar.gz
DPQ_0.5-9-1.zip(r-4.5)DPQ_0.5-9-1.zip(r-4.4)DPQ_0.5-9-1.zip(r-4.3)
DPQ_0.5-9-1.tgz(r-4.4-x86_64)DPQ_0.5-9-1.tgz(r-4.4-arm64)DPQ_0.5-9-1.tgz(r-4.3-x86_64)DPQ_0.5-9-1.tgz(r-4.3-arm64)
DPQ_0.5-9-1.tar.gz(r-4.5-noble)DPQ_0.5-9-1.tar.gz(r-4.4-noble)
DPQ_0.5-9-1.tgz(r-4.4-emscripten)DPQ_0.5-9-1.tgz(r-4.3-emscripten)
DPQ.pdf |DPQ.html✨
DPQ/json (API)
NEWS
# Install 'DPQ' in R: |
install.packages('DPQ', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://r-forge.r-project.org/projects/specfun
- pt_Witkovsky_Tab1 - Viktor Witosky's Table_1 pt() Examples
Last updated 16 days agofrom:c953b5aa5a. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 02 2024 |
R-4.5-win-x86_64 | OK | Nov 02 2024 |
R-4.5-linux-x86_64 | OK | Nov 02 2024 |
R-4.4-win-x86_64 | OK | Nov 02 2024 |
R-4.4-mac-x86_64 | OK | Nov 02 2024 |
R-4.4-mac-aarch64 | OK | Nov 02 2024 |
R-4.3-win-x86_64 | OK | Nov 02 2024 |
R-4.3-mac-x86_64 | OK | Nov 02 2024 |
R-4.3-mac-aarch64 | OK | Nov 02 2024 |
Exports:.D_0.D_1.D_Clog.D_Cval.D_exp.D_LExp.D_log.D_Lval.D_qIv.D_val.dntJKBch.dntJKBch1.DT_0.DT_1.DT_Cexp.DT_CIv.DT_Clog.DT_Cval.DT_exp.DT_log.DT_Log.DT_qIv.DT_val.p1l1ser.pow.qgammaApprBnd.suppHyperalgdivall_mpfrany_mpfrb_chib_chiAsympbd0bd0_l1pmbd0_p1l1dbd0_p1l1d1bd0CBernbetaIbpserc_dtc_dtAsympc_ptchebyshev_ncchebyshevEvalchebyshevPolydbinom_rawdchisqAsymdgamma.RdhyperBinMolenaardnbinom.mudnbinomRdnchisqBesseldnchisqRdnoncentchisqdntJKBfdntJKBf1dpois_rawdpois_simpldpois_simpl0dpsifndtWVebd0ebd0Cexpm1xexpm1xTserf05lchooseformat01precfrexpG_halfg2gam1dgamln1gammaVergnthh0h1h2hnthyper2binomPIxpqlb_chi0lb_chi00lb_chiAsymplbeta_asylbetaIlbetaMlbetaMMldexplfastchooselgamma1plgamma1p_serieslgamma1p.lgamma1pClgammaAsymplgammacorlog1mexplog1mexpClog1pexpClog1pmxlog1pmxClogcflogcfRlogcfR.logQab_asylogrlogspace.addlogspace.sublssumlsumM_cutoffM_LN2M_minExpM_SQRT2modfnewtonokLongDoublep1l1p1l1.p1l1pp1l1serpbetaRv1pchisqVpchisqWpchisqW.pchisqW.Rpdhyperphyper1molenaarphyper2molenaarphyperAllBinphyperAllBinMphyperApprAS152phyperBin.1phyperBin.2phyperBin.3phyperBin.4phyperBinMolenaarphyperBinMolenaar.1phyperBinMolenaar.2phyperBinMolenaar.3phyperBinMolenaar.4phyperIbetaphyperPeizerphyperRphyperR2phyperspl2curvesplRpoispnbetaAppr2pnbetaAppr2v1pnbetaAS310pnchi1sqpnchi3sqpnchisqpnchisq_sspnchisqAbdelAtypnchisqBolKuzpnchisqITpnchisqPatnaikpnchisqPearsonpnchisqRCpnchisqSankaran_dpnchisqT93pnchisqT93.apnchisqT93.bpnchisqTermspnchisqVpnormAsymppnormL_LD10pnormU_S53pnt3150pnt3150.1pntChShP94pntChShP94.1pntGST23_1pntGST23_T6pntGST23_T6.1pntJW39pntJW39.0pntLrgpntP94pntP94.1pntRpntR1pntVW13powpow_dipow1pppoisDppoisErrQab_termsqbeta.RqbetaApprqbetaAppr.1qbetaAppr.2qbetaAppr.3qbetaAppr.4qbinomRqchisqApprqchisqAppr.0qchisqAppr.1qchisqAppr.2qchisqAppr.3qchisqAppr.RqchisqApprCF1qchisqApprCF2qchisqCappr.2qchisqKGqchisqNqchisqWHqgamma.RqgammaApprqgammaApprKGqgammaApprSmallPqnbinomRqnchisqAbdelAtyqnchisqBolKuzqnchisqPatnaikqnchisqPearsonqnchisqSankaran_dqnormApprqnormAsympqnormCapprqnormRqnormR1qnormUapprqnormUappr6qntRqntR1qpoisRqsqtApprqtNapprqtRqtR1qtUqtU1r_poisr_pois_exprrexpm1rlog1ssss2ss2.stirlerrstirlerr_simplstirlerrCsWz.fz.sz0
Dependencies:sfsmisc
Asymptotic Tail Formulas For Gaussian Quantiles
Rendered fromqnorm-asymp.Rnw
usingutils::Sweave
on Nov 02 2024.Last update: 2023-01-24
Started: 2022-11-28
Computing Beta(a,b) for Large Arguments
Rendered fromcomp-beta.Rnw
usingutils::Sweave
on Nov 02 2024.Last update: 2019-08-31
Started: 2019-08-15
log1pmx, bd0, stirlerr - Probability Computations in R
Rendered fromlog1pmx-etc.Rnw
usingutils::Sweave
on Nov 02 2024.Last update: 2024-03-21
Started: 2021-04-30
Noncentral Chi-Squared Probabilities -- Algorithms in R
Rendered fromNoncentral-Chisq.Rnw
usingutils::Sweave
on Nov 02 2024.Last update: 2021-05-07
Started: 2019-09-02