dCount_naive_bi: Compute count probabilities using naive convolution (bi)

In Countr: Flexible Univariate Count Models Based on Renewal Processes

Compute count probabilities using naive convolution (bi)

Description

Compute count probabilities using naive convolution (section 3.1) for the built-in distributions

Compute count probabilities using naive convolution (section 3.1) for the user passed survival function.

Usage

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

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

Arguments

cdfout	logical if TRUE, the cdf will be returned instead of the count probability.
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.
inheritParams	dCount_allProbs_bi

Details

The routine does minimum number of convolution 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 3.1.

Value

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

Countr documentation built on Nov. 13, 2022, 1:06 a.m.