dCount_dePril_bi: Compute count probabilities using dePril convolution (bi)

In GeoBosh/Countr: Flexible Univariate Count Models Based on Renewal Processes

Compute count probabilities using dePril convolution (bi)

Description

Compute count probabilities using dePril convolution (section 3.2) for the built-in distributions

Compute count probabilities using dePril convolution (section 3.2) for the user passed survival function.

Usage

dCount_dePril_bi(
  x,
  distPars,
  dist,
  nsteps = 100L,
  time = 1,
  extrap = TRUE,
  cdfout = FALSE,
  logFlag = FALSE
)

dCount_dePril_user(
  x,
  distPars,
  extrapolPars,
  survR,
  nsteps = 100L,
  time = 1,
  extrap = TRUE,
  cdfout = FALSE,
  logFlag = FALSE
)

Arguments

survR

Rcpp::Function user passed survival function; should have the signature function(t, distPars) where t is a real number (>0) where the survival function is evaluated and distPars is a list of distribution parameters. It should return a double value.

Details

The routine does minimum number of convolution using dePril trick to compute the count probability P(x) sing nsteps steps, and refines result by Richardson extrapolation if extrap is TRUE using the algorithm of section 3.2.

Value

vector of probabilities P(x(i)) for i = 1, ..., n where n is length of x.

GeoBosh/Countr documentation built on Jan. 26, 2024, 12:16 p.m.