Last data update: 2014.03.03
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SMO (statistical methods ontology)
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chooseMpfr
(Package: Rmpfr ) :
Binomial Coefficients and Pochhammer Symbol aka Rising Factorial
chooseMpfr(a,n) being mathematically the same as choose(a,n), but using high precision (MPFR) arithmetic.
● Data Source:
CranContrib
● Keywords: arith
● Alias: chooseMpfr, chooseMpfr.all, pochMpfr
●
1 images
atomicVector-class
(Package: Rmpfr ) :
Virtual Class "atomicVector" of Atomic Vectors
class "atomicVector" is a virtual class containing all atomic vector classes of base R is.atomic.
● Data Source:
CranContrib
str.mpfr
(Package: Rmpfr ) :
Compactly Show STRucture of Rmpfr Number Object
str method for objects of class mpfr produces a bit more useful output than the default method str.default.
● Data Source:
CranContrib
factorialMpfr
(Package: Rmpfr ) :
Factorial 'n!' in Arbitrary Precision
n! in arbitrary precision, using the MPFR-internal implementation. This is mathematically (but not numerically) the same as Gamma(n+1) .
● Data Source:
CranContrib
sumBinomMpfr
(Package: Rmpfr ) :
(Alternating) Binomial Sums via Rmpfr
sBn(f, n) := sumBinomMpfr(n, f), (default alternating is true, and n0 = 0),
● Data Source:
CranContrib
● Keywords: arith
● Alias: sumBinomMpfr
●
1 images
mpfrArray
(Package: Rmpfr ) :
Construct "mpfrArray" almost as by 'array()'
R mpfrArray, very analogously to the numeric array function.
● Data Source:
CranContrib
mpfr-utils
(Package: Rmpfr ) :
Rmpfr -- Utilities for Precision Setting, Printing, etc
Rmpfr which are typically not called by the user, but may come handy in some situations.
● Data Source:
CranContrib
gmp-conversions
(Package: Rmpfr ) :
Conversion Utilities gmp <-> Rmpfr
bigz) and mpfr numbers.
● Data Source:
CranContrib
hjkMpfr
(Package: Rmpfr ) :
Hooke-Jeeves Derivative-Free Minimization R (working for MPFR)
● Data Source:
CranContrib
asNumeric-methods
(Package: Rmpfr ) :
Methods for code{asNumeric(<mpfr>)
asNumeric (in package gmp ).
● Data Source:
CranContrib
providing 
.