new_prior_dist: Creates a new 'prior_dist' object
In jproney/bpinference: Bayesian Estimation of Branching Proccess Parameters
Description
Usage
Arguments
Value
Description
Creates a new prior_dist object
Usage
1
new_prior_dist(name, params, bounds = NA)
Arguments
name
a string with the name of the distribution (e.g. 'normal'). Must match a distribution in ALLOWED_DISTRIBUTIONS list
params
parameters for the prior distribution. Should match the number and constrains imposed by the distribution name.
bounds
a lower and upper bound for the parameter. This restricts the range in which sampling occurs. If left as NA, no bounds are imposed
Value
a new prior_dist object
jproney/bpinference documentation built on April 19, 2021, 2:18 a.m.
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Description Usage Arguments Value
Description
Creates a new prior_dist object
Usage
1 | new_prior_dist(name, params, bounds = NA)
|
Arguments
name |
a string with the name of the distribution (e.g. 'normal'). Must match a distribution in |
params |
parameters for the prior distribution. Should match the number and constrains imposed by the distribution name. |
bounds |
a lower and upper bound for the parameter. This restricts the range in which sampling occurs. If left as NA, no bounds are imposed |
Value
a new prior_dist object
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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