Description Usage Arguments Details Value See Also Examples

computes the probability vector using cumulative logistic coefficients

1 | ```
p.compute(alpha,decal)
``` |

`alpha` |
a vector of cumulative logistic coefficients, the first value can
be |

`decal` |
offset term to be applied to sums of logistic coefficients |

If `alpha`

has `S-1`

values, `p.compute`

returns `p`

of length `S`

. If `Y`

is a random variable taking values in `{1,...,S}`

with
probabilities `p`

, coefficients `alpha[i]`

are given by:

*
p[1]+...+p[i]=P(Y<=i)=exp(alpha[1]+...+alpha[i])/(1+exp(alpha[1]+...+alpha[i]))*

for all `i<=S-1`

.

`p`

: a probability vector

`p.compute`

is the inverse function of `alpha.compute`

1 2 3 4 5 | ```
# a vector of probability
p <- c(0,0.2,0,0,0.3,0.4,0.1,0,0)
alpha <- alpha.compute(p)
#gives alpha= -Inf -1.38 0 0 1.38 0 2.19 Inf Inf
p.compute(alpha) #gives p
``` |

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