simulate_iid: simulate data from a second order random walk
In inbo/inlatools: Diagnostic Tools for INLA Models
simulate_iid R Documentation
simulate data from a second order random walk
Description
simulate data from a second order random walk
Usage
simulate_iid(sigma = NULL, tau = NULL, n_sim = 1000)
Arguments
sigma
the standard deviation of the random intercept
tau
the precision of the random intercept
n_sim
the number of simulations
Value
a data.frame with simulated time series from the random walk
See Also
Other priors:
plot.sim_iid(),
plot.sim_rw(),
select_change(),
select_divergence(),
select_poly(),
select_quantile(),
simulate_rw()
Examples
set.seed(20181202)
x <- simulate_iid(sigma = 0.25)
head(x)
inbo/inlatools documentation built on Oct. 10, 2024, 8:11 a.m.
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| simulate_iid | R Documentation |
simulate data from a second order random walk
Description
simulate data from a second order random walk
Usage
simulate_iid(sigma = NULL, tau = NULL, n_sim = 1000)
Arguments
sigma |
the standard deviation of the random intercept |
tau |
the precision of the random intercept |
n_sim |
the number of simulations |
Value
a data.frame with simulated time series from the random walk
See Also
Other priors:
plot.sim_iid(),
plot.sim_rw(),
select_change(),
select_divergence(),
select_poly(),
select_quantile(),
simulate_rw()
Examples
set.seed(20181202)
x <- simulate_iid(sigma = 0.25)
head(x)
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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