Displaying 3 results from an estimated 3 matches for "initprob".
2004 Nov 05
0
R check passes code and docs that don't match
...qconstraint = NULL, # constraints on equality of
baseline intensities
econstraint = NULL, # constraints on equality of
baseline misc probs
covmatch = "previous", # take the covariate value from
the previous or next observation
initprobs = NULL, # initial state occupancy
probabilities
data=list(), # optional data frame in which to
interpret variable names
fromto = FALSE,
fromstate, #
tostate, # data required if fromto is TRUE
timelag, #...
2011 Jun 04
3
[LLVMdev] [llvm-commits] Branch Probability
...implemented entirely using fixed point arithmetic.
Example:
class BranchProbability {
friend BranchProbabilityInfo;
unsigned numerator;
unsigned denominator;
BranchProbability(...); // no public ctor
...
};
class BranchProbabilityInfo {
static BranchProbability HotProb;
static initProb();
...
};
void BranchProbabilityInfo::initProb() {
HotProb = BranchProbability(4, 5);
}
bool isEdgeHot(src, dest) {
(uint64_t(HotProb.denominator) * edgeWeight(src, dest))
> (uint64_t(HotProb.numerator)) *
(sum edgeWeight(src, succ) for succ in pred.successors())
}
We could make the...
2009 Sep 18
0
msm package - interpreting categorical results
...,hmodel = list (hmmDist_1,hmmDist_2)
,hcovariates = list ( ~ 1 + DC_MAX_POSSIBLE_L1,
~ 1 + DC_MAX_POSSIBLE_L1)
,control = list(reltol = 1e-03)
,method = "BFGS", use.deriv = FALSE, hessian=FALSE,
analyticp=FALSE , est.initprobs=TRUE
);
with hmmDist_1 and hmmDist_2 being hmmCat distributions as specified in
the msm manual.
Thanks!
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