normal_standard_update_var: Update the sd of nromal kernel with inverse gamma prior
In jesscyzhao/cyrutil: Chunyi Zhao Utilily
Description
Usage
Arguments
Value
Examples
Description
Update the sd of nromal kernel with inverse gamma prior
Usage
1
normal_standard_update_var(mu, dat, n, sigma_a, sigma_b, re_sd = T)
Arguments
mu:
the mean of sampling distribution, known
dat:
the observed normal draws
n:
number of data points
sigma_a:
the IG prior shape
sigma_b:
the IG prior rate
re_sd:
boulean, true if return sd, o.w. return variance.
Value
: a random draw from IG, or the sqrt of that, depending on re_sd.
Examples
1
normal_standard_update_var(1, 1, n, 1, 1)
jesscyzhao/cyrutil documentation built on May 17, 2019, 2:15 a.m.
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Description Usage Arguments Value Examples
Description
Update the sd of nromal kernel with inverse gamma prior
Usage
1 | normal_standard_update_var(mu, dat, n, sigma_a, sigma_b, re_sd = T)
|
Arguments
mu: |
the mean of sampling distribution, known |
dat: |
the observed normal draws |
n: |
number of data points |
sigma_a: |
the IG prior shape |
sigma_b: |
the IG prior rate |
re_sd: |
boulean, true if return sd, o.w. return variance. |
Value
: a random draw from IG, or the sqrt of that, depending on re_sd.
Examples
1 | normal_standard_update_var(1, 1, n, 1, 1)
|
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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