dgamma.R | R Documentation |
dgamma.R()
is aimed to be an R level “clone” of R's C
level implementation dgamma
(from package stats).
dgamma.R(x, shape, scale = 1, log,
dpois_r_args = list())
x |
non-negative numeric vector. |
shape |
non-negative shape parameter of the Gamma distribution. |
scale |
positive scale parameter; note we do not see the need to have
a |
log |
logical indicating if the result is desired on the log scale. |
dpois_r_args |
a |
numeric vector of the same length as x
(which may have to be
thought of recycled along shape
and/or scale
.
Martin Maechler
(As R's C code) this depends crucially on the “workhorse”
function dpois_raw()
.
xy <- curve(dgamma (x, 12), 0,30) # R's dgamma()
xyR <- curve(dgamma.R(x, 12, dpois_r_args = list(verbose=TRUE)), add=TRUE,
col = adjustcolor(2, 1/3), lwd=3)
stopifnot(all.equal(xy, xyR, tolerance = 4e-15)) # seen 7.12e-16
## TODO: check *vectorization* in x --> add tests/*.R ___ TODO ___
## From R's <R>/tests/d-p-q-r-tst-2.R -- replacing dgamma() w/ dgamma.R()
## PR#17577 - dgamma(x, shape) for shape < 1 (=> +Inf at x=0) and very small x
stopifnot(exprs = {
all.equal(dgamma.R(2^-1027, shape = .99 , log=TRUE), 7.1127667376, tol=1e-10)
all.equal(dgamma.R(2^-1031, shape = 1e-2, log=TRUE), 702.8889158, tol=1e-10)
all.equal(dgamma.R(2^-1048, shape = 1e-7, log=TRUE), 710.30007699, tol=1e-10)
all.equal(dgamma.R(2^-1048, shape = 1e-7, scale = 1e-315, log=TRUE),
709.96858768, tol=1e-10)
})
## R's dgamma() gave all Inf in R <= 3.6.1 [and still there in 32-bit Windows !]
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