Assume A Multivariate Uniform Prior Distribution for The Model Parameters
Creates independent uniform prior distributions for the unknown model parameters as an object of class cprior
.
uniform(lower, upper)
lower |
A vector of lower bounds for the model parameters. |
upper |
A vector of upper bounds for the model parameters. |
An object of class cprior
that is a list with the following components:
fn
: prior distribution as an R function
with argument param
that is the vector of the unknown parameters. See below.
npar
: Number of unknown parameters and is equal to the length of param
.
lower
: Argument lower
. It has the same length as param
.
upper
: Argument lower
. It has the same length as param
.
The list will be passed to the argument prior
of the function bayes
.
The order of the argument param
in fn
has the same order as the argument parvars
when the model is specified by a formula.
Otherwise, it is equal to the argument param
in the function fimfunc
.
The order of the argument param
in fn
has the same order as the argument parvars
when the model is specified by a formula.
Otherwise, it is the same as the argument param
in the function fimfunc
.
uniform(lower = c(-3, .1), upper = c(3, 2))
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