cdf_expmodel: Cumulative distribution function of Expomemtial-based model

In dsdp: Density Estimation with Semidefinite Programming

Cumulative distribution function of Expomemtial-based model

Description

A cumulative distribution function(CDF) of Exponential-based model. To access parameters and coefficients in an object emodel of a class expmodel, use emodel$result[k, "lmd1"], emodel$coeffs[[k]] for some index k. This index appears in the leftmost column of estimation table generated by summary(emodel).

Usage

cdf_expmodel(coeff, lmd, x)

Arguments

coeff	A coefficient vector in increasing order of degrees; the first element is 0th degree, ..., and last element is the largest degree of coefficients.
lmd	A rate parameter, which is positive.
x	A numeric vector of input.

Value

A numeric vector of CDF of an exponential-based model.

See Also

expmodel() summary.expmodel() estimate.expmodel() func.expmodel() cdf_expmodel()

Examples

## Create an object of `expmodel`
emodel <- expmodel(mixexpgamma$n200)
## Estimate with degree 4 and rate parameter 2.0
emodel <- estimate(emodel, 4, 2.0)
## Input vector
x <- seq(0, 12, 0.1)
## Output of PDF in above estimation
yv <- cdf_expmodel(emodel$coeffs[[1]], emodel$result[1, "lmd1"], x)

dsdp documentation built on Feb. 16, 2023, 8:36 p.m.