hbim-internal | R Documentation |
These are functions that are called by the hbrr
and hbpp
functions. They integrate 1, 2 or 3 component models or integrate by simulation. Special functions
ending in .rhoeq1 are for when rho equals 1.
hbpp.integrate1(MU, V, A = 1, RP = 0.1, ...)
hbpp.integrate2(MU, V, A = c(1, 1), RP = 0.1, ...)
hbpp.integrate3(MU, V, A = c(1, 1, 1),RP=0.1, ...)
hbpp.simulate(MU, V, A, RP = 0.1, NSIM = 10^5)
hbrr.integrate1(MU, V, A = 1, ...)
hbrr.integrate2(MU, V, A = c(1, 1), ...)
hbrr.integrate2.rhoeq1(MU, V, A = c(1, 1), ...)
hbrr.integrate3(MU, V, A = c(1, 1, 1), ...)
hbrr.integrate3.rhoeq1(MU, V, A = c(1, 1, 1), ...)
hbrr.simulate(MU, V, A, NSIM = 10^4)
MU |
mean vector of the log10 dose |
V |
variance matrix of the log10 dose |
A |
vector of slope parameters in the Hill model, one for each component |
NSIM |
number of simulations |
RP |
protection bound, an individual is protected if relative risk is greater than RP |
... |
additional parameters to pass to the |
a numeric value of the expected relative risk or percent protected.
M.P. Fay
Saul A, Fay MP (2007). Human Immunity and the Design of Multi-Component, Single Target Vaccines. PLoS ONE 2(9): e850. doi:10.1371/jounal.pone.0000850
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