Description Usage Arguments Details Value Note Examples
Density, distribution function, quantile function and random generation for the prior distribution on relative risk or the vaccine efficacy.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | dprior_phi(phi, b, c, d, S, T, ...)
dprior_VE(VE, b, c, d, S, T, ...)
pprior_phi(q, b, c, d, S, T, ...)
pprior_VE(q, b, c, d, S, T, ...)
qprior_phi(p, b, c, d, S, T, ...)
qprior_VE(p, b, c, d, S, T, ...)
rprior_phi(n, b, c, d, S, T)
sprior_phi(b, c, d, S, T, ...)
|
phi,VE,q |
vector of quantiles |
b |
non-negative rate parameter |
c,d |
non-negative shape parameters |
S,T |
sample sizes in control group and treated group |
... |
other arguments passed to |
p |
vector of probabilities |
n |
number of observations to be simulated |
The prior distribution on the relative risk φ is the Beta2 distribution with shape parameters c and d and scale parameter (T+b)/S.
dprior_phi
gives the density, pprior_phi
the distribution
function, qprior_phi
the quantile function, rprior_phi
samples from
the distribution, and sprior_phi
gives a summary of the distribution.
Prior_phi
is a generic name for the functions documented.
1 2 | curve(dprior_phi(x, 2, 2, 2, 10, 10), from=0, to=7)
sprior_phi(2, 2, 2, 10, 10, output="pandoc")
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