sigsq_n: Calculates sigsn_n from prior parameters
In carter-allen/normR: Functions for Bayesian normal modeling
Description
Calculates sigsn_n from prior parameters
Usage
1
sigsq_n(nu_0, sigsq_0, n, ssq, kappa_0, y_bar, mu_0)
Arguments
nu_0
prior sample size
sigsq_0
prior sample variance
n
new sample size
ssq
new sample variance
kappa_0
prior sample size of means
y_bar
current sample mean
mu_0
prior sample mean
carter-allen/normR documentation built on May 12, 2019, 8:45 a.m.
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Description
Calculates sigsn_n from prior parameters
Usage
1 | sigsq_n(nu_0, sigsq_0, n, ssq, kappa_0, y_bar, mu_0)
|
Arguments
nu_0 |
prior sample size |
sigsq_0 |
prior sample variance |
n |
new sample size |
ssq |
new sample variance |
kappa_0 |
prior sample size of means |
y_bar |
current sample mean |
mu_0 |
prior sample mean |
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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