dCount_naive_bi: Compute count probabilities using naive convolution (bi)

Description Usage Arguments Details Value

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

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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.



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