posterior: Calcualte the posterior distribution of a Bass Diffusion...
In jnshsrs/bayesianbass: A Bayesian Bass Model
Description
Usage
Arguments
Examples
View source: R/predict-bass-model.R
Description
This function returns a prediction based on the MCMC sampled rjags chains.
The point in time of prediction corresponds to the given time_index
Usage
1
posterior(x, time_index = 1)
Arguments
time_index
Examples
1
2
3
4
data(adoption_data)
model <- bayesian_bass_model()
fit <- bayesian_bass(data = adoption_data, var = "adoption", model = model)
posterior(fit, time_index = 1)
jnshsrs/bayesianbass documentation built on Jan. 11, 2021, 1:40 a.m.
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Description Usage Arguments Examples
View source: R/predict-bass-model.R
Description
This function returns a prediction based on the MCMC sampled rjags chains. The point in time of prediction corresponds to the given time_index
Usage
1 | posterior(x, time_index = 1)
|
Arguments
time_index |
Examples
1 2 3 4 | data(adoption_data)
model <- bayesian_bass_model()
fit <- bayesian_bass(data = adoption_data, var = "adoption", model = model)
posterior(fit, time_index = 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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