Quantile Function
ssd_qburrIII3(
p,
shape1 = 1,
shape2 = 1,
scale = 1,
lower.tail = TRUE,
log.p = FALSE
)ssd_qgamma(p, shape = 1, scale = 1, lower.tail = TRUE, log.p = FALSE)
ssd_qgompertz(p, location = 1, shape = 1, lower.tail = TRUE, log.p = FALSE)
ssd_qinvpareto(p, shape = 3, scale = 1, lower.tail = TRUE, log.p = FALSE)
ssd_qlgumbel(
p,
locationlog = 0,
scalelog = 1,
lower.tail = TRUE,
log.p = FALSE
)
ssd_qllogis_llogis(
p,
locationlog1 = 0,
scalelog1 = 1,
locationlog2 = 1,
scalelog2 = 1,
pmix = 0.5,
lower.tail = TRUE,
log.p = FALSE
)
ssd_qllogis(p, locationlog = 0, scalelog = 1, lower.tail = TRUE, log.p = FALSE)
ssd_qlnorm_lnorm(
p,
meanlog1 = 0,
sdlog1 = 1,
meanlog2 = 1,
sdlog2 = 1,
pmix = 0.5,
lower.tail = TRUE,
log.p = FALSE
)
ssd_qlnorm(p, meanlog = 0, sdlog = 1, lower.tail = TRUE, log.p = FALSE)
ssd_qmulti(
p,
burrIII3.weight = 0,
burrIII3.shape1 = 1,
burrIII3.shape2 = 1,
burrIII3.scale = 1,
gamma.weight = 0,
gamma.shape = 1,
gamma.scale = 1,
gompertz.weight = 0,
gompertz.location = 1,
gompertz.shape = 1,
lgumbel.weight = 0,
lgumbel.locationlog = 0,
lgumbel.scalelog = 1,
llogis.weight = 0,
llogis.locationlog = 0,
llogis.scalelog = 1,
llogis_llogis.weight = 0,
llogis_llogis.locationlog1 = 0,
llogis_llogis.scalelog1 = 1,
llogis_llogis.locationlog2 = 1,
llogis_llogis.scalelog2 = 1,
llogis_llogis.pmix = 0.5,
lnorm.weight = 0,
lnorm.meanlog = 0,
lnorm.sdlog = 1,
lnorm_lnorm.weight = 0,
lnorm_lnorm.meanlog1 = 0,
lnorm_lnorm.sdlog1 = 1,
lnorm_lnorm.meanlog2 = 1,
lnorm_lnorm.sdlog2 = 1,
lnorm_lnorm.pmix = 0.5,
weibull.weight = 0,
weibull.shape = 1,
weibull.scale = 1,
lower.tail = TRUE,
log.p = FALSE
)
ssd_qmulti_fitdists(p, fitdists, lower.tail = TRUE, log.p = FALSE)
ssd_qweibull(p, shape = 1, scale = 1, lower.tail = TRUE, log.p = FALSE)
vector of probabilities.
shape1 parameter.
shape2 parameter.
scale parameter.
logical; if TRUE (default), probabilities are P[X <= x]
, otherwise, P[X > x]
.
logical; if TRUE, probabilities p are given as log(p).
shape parameter.
location parameter.
location on the log scale parameter.
scale on log scale parameter.
locationlog1 parameter.
scalelog1 parameter.
locationlog2 parameter.
scalelog2 parameter.
Proportion mixture parameter.
mean on log scale parameter.
standard deviation on log scale parameter.
mean on log scale parameter.
standard deviation on log scale parameter.
mean on log scale parameter.
standard deviation on log scale parameter.
weight parameter for the Burr III distribution.
shape1 parameter for the Burr III distribution.
shape2 parameter for the Burr III distribution.
scale parameter for the Burr III distribution.
weight parameter for the gamma distribution.
shape parameter for the gamma distribution.
scale parameter for the gamma distribution.
weight parameter for the Gompertz distribution.
location parameter for the Gompertz distribution.
shape parameter for the Gompertz distribution.
weight parameter for the log-Gumbel distribution.
location parameter for the log-Gumbel distribution.
scale parameter for the log-Gumbel distribution.
weight parameter for the log-logistic distribution.
location parameter for the log-logistic distribution.
scale parameter for the log-logistic distribution.
weight parameter for the log-logistic log-logistic mixture distribution.
locationlog1 parameter for the log-logistic log-logistic mixture distribution.
scalelog1 parameter for the log-logistic log-logistic mixture distribution.
locationlog2 parameter for the log-logistic log-logistic mixture distribution.
scalelog2 parameter for the log-logistic log-logistic mixture distribution.
pmix parameter for the log-logistic log-logistic mixture distribution.
weight parameter for the log-normal distribution.
meanlog parameter for the log-normal distribution.
sdlog parameter for the log-normal distribution.
weight parameter for the log-normal log-normal mixture distribution.
meanlog1 parameter for the log-normal log-normal mixture distribution.
sdlog1 parameter for the log-normal log-normal mixture distribution.
meanlog2 parameter for the log-normal log-normal mixture distribution.
sdlog2 parameter for the log-normal log-normal mixture distribution.
pmix parameter for the log-normal log-normal mixture distribution.
weight parameter for the Weibull distribution.
shape parameter for the Weibull distribution.
scale parameter for the Weibull distribution.
An object of class fitdists.
ssd_qburrIII3()
: Quantile Function for BurrIII Distribution
ssd_qgamma()
: Quantile Function for Gamma Distribution
ssd_qgompertz()
: Quantile Function for Gompertz Distribution
ssd_qinvpareto()
: Quantile Function for Inverse Pareto Distribution
ssd_qlgumbel()
: Quantile Function for Log-Gumbel Distribution
ssd_qllogis_llogis()
: Cumulative Distribution Function for Log-Logistic/Log-Logistic Mixture Distribution
ssd_qllogis()
: Cumulative Distribution Function for Log-Logistic Distribution
ssd_qlnorm_lnorm()
: Cumulative Distribution Function for Log-Normal/Log-Normal Mixture Distribution
ssd_qlnorm()
: Cumulative Distribution Function for Log-Normal Distribution
ssd_qmulti()
: Quantile Function for Multiple Distributions
ssd_qmulti_fitdists()
: Quantile Function for Multiple Distributions
ssd_qweibull()
: Cumulative Distribution Function for Weibull Distribution
ssd_p
and ssd_r
ssd_qburrIII3(0.5)
ssd_qgamma(0.5)
ssd_qgompertz(0.5)
ssd_qinvpareto(0.5)
ssd_qlgumbel(0.5)
ssd_qllogis_llogis(0.5)
ssd_qllogis(0.5)
ssd_qlnorm_lnorm(0.5)
ssd_qlnorm(0.5)
# multi
ssd_qmulti(0.5, gamma.weight = 0.5, lnorm.weight = 0.5)
# multi fitdists
fit <- ssd_fit_dists(ssddata::ccme_boron)
ssd_qmulti_fitdists(0.5, fit)
ssd_qweibull(0.5)
Run the code above in your browser using DataLab