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Diffstat (limited to 'man/lossdistrib2.truncated.Rd')
| -rw-r--r-- | man/lossdistrib2.truncated.Rd | 19 |
1 files changed, 9 insertions, 10 deletions
diff --git a/man/lossdistrib2.truncated.Rd b/man/lossdistrib2.truncated.Rd index 2a488e9..9c4854e 100644 --- a/man/lossdistrib2.truncated.Rd +++ b/man/lossdistrib2.truncated.Rd @@ -2,11 +2,7 @@ % Please edit documentation in R/distrib.R \name{lossdistrib2.truncated} \alias{lossdistrib2.truncated} -\title{recursive algorithm with first order correction truncated version -this is actually slower than lossdistrib2. But in C this is -twice as fast. -For high severities, M can become bigger than N, and there is -some probability mass escaping.} +\title{Loss distribution truncated version} \usage{ lossdistrib2.truncated(p, w, S, N, cutoff = N) } @@ -25,10 +21,13 @@ lossdistrib2.truncated(p, w, S, N, cutoff = N) a Numeric vector of size \code{N} computing the loss distribution } \description{ -recursive algorithm with first order correction truncated version -this is actually slower than lossdistrib2. But in C this is -twice as fast. -For high severities, M can become bigger than N, and there is -some probability mass escaping. +\code{lossdistrib2.truncated} computes the probability distribution of a sum +of independent Bernouilli variables with unequal probabilities up +to a cutoff N. +} +\details{ +This is actually slower than \code{lossdistrib2}, but in C this is +twice as fast. For high severities, M can become bigger than the cutoff, and +there is some probability mass escaping. } |
