Description Usage Arguments Details Value See Also
Defines a probability distribution object for use with
compare.samplers
with logdensity implemented in C.
1 2 
ndim 
The size of the distribution's state space. 
name 
A humanreadable name for the distribution. 
c.log.density 
A C function returning the logdensity and gradient of the target distribution. 
c.context 
An opaque object passed to 
name.expression 
A name for the distribution in

mean 
A vector specifying the true mean of the distribution. 
cov 
A matrix specifying the true covariance of the distribution. 
See make.dist
for discussion of ndim
,
name
, name.expression
, mean
, and cov
.
c.log.density
is a string containing the symbol name of a
C function that computes the log density and log density gradient
of the target distribution. It has the type log_density_t
,
defined in SamplerCompare.h
as:
1 2 3 4 5 6 7 
The ds
structure defines the distribution, where the
log_dens
element is a pointer to the function named by
c.log.density
, the context
element is a SEXP
containing the c.context
parameter, and ndim
is the
ndim
parameter to make.c.dist
.
The x
parameter is an ndim
long array of doubles
containing the location at which to evaluate the logdensity,
which the log_density_t
should return.
If compute_grad
is nonzero, the function should compute
the gradient of the log density and store it in the double array
pointed to by grad
. If for some reason it cannot do this,
it should call the Rinternal error
function to report an
error to the user. If the implementor does not plan to sample
from the distribution with a method that computes gradients, this
can reduce implementation effort.
The details of this interface are described in greater detail in “R/C Glue in SamplerCompare”.
A scdist
object.
compare.samplers
,
make.dist
,
“R/C Glue in SamplerCompare” (vignette)
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