posteriornormal1: Compute the Posterior Distribution for Parameters of One...
In lestat: A Package for Learning Statistics
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
Given a vector of data, this function computes the bivariate posteror for the
expectation parameter and the logged scale parameter of a normal distribution,
assuming that the data represents independent observations from the normal distribution.
One assumes a flat prior.
Usage
1
Arguments
data
A vector with data values.
Value
An object representing a bivariate Normal-ExpGamma distribution.
Author(s)
Petter Mostad <mostad@chalmers.se>
See Also
Examples
1
2
3
data <- simulate(normal(3.3, log(2)), 9)
posteriornormal1(data)
linearmodel(data, designOneGroup(length(data))) #Gives same result
lestat documentation built on May 2, 2019, 2:09 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
Given a vector of data, this function computes the bivariate posteror for the expectation parameter and the logged scale parameter of a normal distribution, assuming that the data represents independent observations from the normal distribution. One assumes a flat prior.
Usage
1 |
Arguments
data |
A vector with data values. |
Value
An object representing a bivariate Normal-ExpGamma distribution.
Author(s)
Petter Mostad <mostad@chalmers.se>
See Also
Examples
1 2 3 | data <- simulate(normal(3.3, log(2)), 9)
posteriornormal1(data)
linearmodel(data, designOneGroup(length(data))) #Gives same result
|
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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