linear_regression: Bayesian linear regression with Stan
In nikosbosse/epipredictr: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
Description
Bayesian linear regression with Stan
Usage
1
linear_regression(y, x = NULL, num_pred = 10, vb = FALSE, ...)
Arguments
y
Numberic vector of output values.
x
Numeric vector of input values.
num_pred
number of time points to forecast
...
Arguments passed to 'rstan::sampling' (e.g. iter, chains).
Value
An object of class 'stanfit' returned by 'rstan::sampling'
nikosbosse/epipredictr documentation built on April 7, 2020, 9:51 p.m.
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Description Usage Arguments Value
Description
Bayesian linear regression with Stan
Usage
1 | linear_regression(y, x = NULL, num_pred = 10, vb = FALSE, ...)
|
Arguments
y |
Numberic vector of output values. |
x |
Numeric vector of input values. |
num_pred |
number of time points to forecast |
... |
Arguments passed to 'rstan::sampling' (e.g. iter, chains). |
Value
An object of class 'stanfit' returned by 'rstan::sampling'
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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