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.Rcpppfddm() 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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