pt
approach.
For non-integer degrees of freedom, the polynomial interpolation is used to approximate the density.dt.int2(x, df, ncp, log = FALSE, ndiv = 8)
TRUE
, log densities are returned.df=0
and df=1
,
and then iteratively computes the integral for larger df
. For non-integer df
, it uses ndiv
nearest points to perform a
divided difference polynomial interpolation approximation. For integer df
, this function is about 2 to 3 times faster than dt
function and is exact.dtn.mix
, dt
, dt.lap
, dt.sad
, mTruncNorm