### C code
useDynLib(actuar, .registration = TRUE, .fixes = "C_")

### Imports
import(expint)                          # for C code
import(stats, graphics)
importFrom(utils, head, tail)

### Exports
export(
    ## Credibility theory
    cm,
    ## Simulation of insurance data
    rcompound, rcomppois, rmixture,
    simul, simpf, rcomphierarc, severity, unroll,
    ## Risk theory
    aggregateDist, CTE, TVaR, discretize, discretise, VaR, adjCoef, ruin,
    ## One parameter distributions
    dinvexp, pinvexp, qinvexp, rinvexp, minvexp, levinvexp,
    mexp, levexp, mgfexp,
    dlogarithmic, plogarithmic, qlogarithmic, rlogarithmic,
    dztpois, pztpois, qztpois, rztpois,
    dztgeom, pztgeom, qztgeom, rztgeom,
    ## Two parameter distributions
    munif, levunif, mgfunif,
    mnorm, mgfnorm,
    mbeta, levbeta,
    mgamma, levgamma, mgfgamma,
    mchisq, levchisq, mgfchisq,
    dinvgamma, pinvgamma, qinvgamma, rinvgamma, minvgamma, levinvgamma, mgfinvgamma,
    dinvparalogis, pinvparalogis, qinvparalogis, rinvparalogis, minvparalogis, levinvparalogis,
    dinvpareto, pinvpareto, qinvpareto, rinvpareto, minvpareto, levinvpareto,
    dinvweibull, pinvweibull, qinvweibull, rinvweibull, minvweibull, levinvweibull,
    dlgompertz, plgompertz, qlgompertz, rlgompertz, mlgompertz, levlgompertz, # aliases
    dlgamma, plgamma, qlgamma, rlgamma, mlgamma, levlgamma,
    dllogis, pllogis, qllogis, rllogis, mllogis, levllogis,
    mlnorm, levlnorm,
    dparalogis, pparalogis, qparalogis, rparalogis, mparalogis, levparalogis,
    dpareto, ppareto, qpareto, rpareto, mpareto, levpareto,
    dpareto1, ppareto1, qpareto1, rpareto1, mpareto1, levpareto1,
    mweibull, levweibull,
    ## minvGauss, levinvGauss, mgfinvGauss, [defunct v3.0-0]
    dgumbel, pgumbel, qgumbel, rgumbel, mgumbel, mgfgumbel,
    dinvgauss, pinvgauss, qinvgauss, rinvgauss, minvgauss, levinvgauss, mgfinvgauss,
    dztnbinom, pztnbinom, qztnbinom, rztnbinom,
    dztbinom, pztbinom, qztbinom, rztbinom,
    dzmlogarithmic, pzmlogarithmic, qzmlogarithmic, rzmlogarithmic,
    dzmpois, pzmpois, qzmpois, rzmpois,
    dzmgeom, pzmgeom, qzmgeom, rzmgeom,
    dpoisinvgauss, ppoisinvgauss, qpoisinvgauss, rpoisinvgauss,
    dpig, ppig, qpig, rpig, # aliases
    ## Three parameter distributions
    dburr, pburr, qburr, rburr, mburr, levburr,
    dgenpareto, pgenpareto, qgenpareto, rgenpareto, mgenpareto, levgenpareto,
    dinvburr, pinvburr, qinvburr, rinvburr, minvburr, levinvburr,
    dinvtrgamma, pinvtrgamma, qinvtrgamma, rinvtrgamma, minvtrgamma, levinvtrgamma,
    dtrgamma, ptrgamma, qtrgamma, rtrgamma, mtrgamma, levtrgamma,
    dpareto2, ppareto2, qpareto2, rpareto2, mpareto2, levpareto2,
    dpareto3, ppareto3, qpareto3, rpareto3, mpareto3, levpareto3,
    dzmnbinom, pzmnbinom, qzmnbinom, rzmnbinom,
    dzmbinom, pzmbinom, qzmbinom, rzmbinom,
    ## Four parameter distributions
    dgenbeta, pgenbeta, qgenbeta, rgenbeta, mgenbeta, levgenbeta,
    dtrbeta, ptrbeta, qtrbeta, rtrbeta, mtrbeta, levtrbeta,
    dpearson6, ppearson6, qpearson6, rpearson6, mpearson6, levpearson6, #aliases
    dpareto4, ppareto4, qpareto4, rpareto4, mpareto4, levpareto4,
    ## Five parameter distributions
    dfpareto, pfpareto, qfpareto, rfpareto, mfpareto, levfpareto,
    ## Phase-type distributions
    dphtype, pphtype, rphtype, mphtype, mgfphtype,
    ## Loss distributions
    grouped.data, ogive, emm, mde, elev, coverage
)

### Methods
S3method("[", grouped.data)
S3method("[<-", grouped.data)

S3method(aggregate, portfolio)

S3method(CTE, aggregateDist)

S3method(diff, aggregateDist)

S3method(elev, default)
S3method(elev, grouped.data)

S3method(emm, default)
S3method(emm, grouped.data)

S3method(frequency, portfolio)

S3method(hist, grouped.data)

S3method(knots, ogive)
S3method(knots, elev)

S3method(mean, aggregateDist)
S3method(mean, grouped.data)

S3method(ogive, default)
S3method(ogive, grouped.data)

S3method(plot, adjCoef)
S3method(plot, aggregateDist)
S3method(plot, elev)
S3method(plot, ogive)
S3method(plot, ruin)

S3method(predict, bstraub)
S3method(predict, cm)
S3method(predict, hache)
S3method(predict, hierarc)
S3method(predict, bayes)

S3method(print, aggregateDist)
S3method(print, elev)
S3method(print, cm)
S3method(print, mde)
S3method(print, ogive)
S3method(print, summary.ogive)
S3method(print, portfolio)
S3method(print, summary.aggregateDist)
S3method(print, summary.cm)

S3method(quantile, aggregateDist)
S3method(quantile, grouped.data)

S3method(severity, default)
S3method(severity, portfolio)

S3method(summary, aggregateDist)
S3method(summary, cm)
S3method(summary, elev)
S3method(summary, ogive)

S3method(VaR, aggregateDist)

S3method(weights, portfolio)
