Nothing
ddm()
which permits formula-based fitting of the DDM using the analytic gradient.v
and a
to functions dfddm()
, pfddm()
, and the PDF derivatives d*_ddm()
were changed. Previously, it was ...ddm(..., a, v, ...)
, and now it is ...ddm(..., v, a, ...)
ddm()
function.dfddm()
that determine how the method of calculation is chosen.Rcpp
pfddm()
to calculate the cumulative distribution function (CDF) of the DDM; it uses the same model parameters as the existing dfddm()
function.sigma
to denote the diffusion coefficient of the Wiener process that underlies the DDM.k
now consistently refers to the number of individual terms instead of sometimes the number of pairs of terms.max_terms_large
to 1. This affects the default method (n_terms_small = "SWSE", scale = "both"
).R
; now directly calls C++
.n_terms_small
, summation_small
, and scale
.n_terms_small = "SWSE", scale = "both"
.Initial CRAN release.
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