compute_si_cutoff: Index before which at most a given probability mass is...
In annecori/EpiEstim: Estimate Time Varying Reproduction Numbers from Epidemic Curves
compute_si_cutoff R Documentation
Index before which at most a given probability
mass is captured
Description
Across a matrix of discretised probability distributions
(see estimate_advantage
this function returns the largest index
(across all columns) such that the
cumulative probability mass before index is
1 - miss_at_most.
Usage
compute_si_cutoff(si_distr, miss_at_most = 0.05)
Arguments
si_distr
a matrix with two columns, each containing the probability mass
function for the discrete serial interval for each of the two
pathogen/strain/variants, starting with the probability mass function
for day 0 in the first row, which should be 0. each column in the matrix
should sum to 1
miss_at_most
numeric. probability mass in the tail of the SI distribution
Value
integer
Author(s)
Sangeeta Bhatia
annecori/EpiEstim documentation built on Sept. 7, 2024, 7:34 p.m.
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| compute_si_cutoff | R Documentation |
Index before which at most a given probability mass is captured
Description
Across a matrix of discretised probability distributions
(see estimate_advantage
this function returns the largest index
(across all columns) such that the
cumulative probability mass before index is
1 - miss_at_most.
Usage
compute_si_cutoff(si_distr, miss_at_most = 0.05)
Arguments
si_distr |
a matrix with two columns, each containing the probability mass function for the discrete serial interval for each of the two pathogen/strain/variants, starting with the probability mass function for day 0 in the first row, which should be 0. each column in the matrix should sum to 1 |
miss_at_most |
numeric. probability mass in the tail of the SI distribution |
Value
integer
Author(s)
Sangeeta Bhatia
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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