RSPPsim: Simulated time series data for multiple eco-systems based on...
In dynr: Dynamic Models with Regime-Switching
RSPPsim R Documentation
Simulated time series data for multiple eco-systems based on a regime-switching predator-and-prey model
Description
A dataset simulated using a regime-switching continuous-time nonlinear predator-and-prey model
with 2 observed indicators for identifying two latent factors. The variables are as follows:
Usage
data(RSPPsim)
Format
A data frame with 6000 rows and 8 variables
Details
id. ID of the systems (1 to 20)
time. Time index (300 time points for each system)
prey. The true population of the prey species
predator. The true population of the predator species
x. Observed indicator for the population of the prey species
y. Observed indicator for the population of the predator species
cond. A time-varying covariate indicating the conditions of the respective eco-system across time which
affects the regime-switching transition matrix
regime. The true regime indicators across time (1 and 2).
dynr documentation built on Oct. 17, 2022, 9:06 a.m.
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| RSPPsim | R Documentation |
Simulated time series data for multiple eco-systems based on a regime-switching predator-and-prey model
Description
A dataset simulated using a regime-switching continuous-time nonlinear predator-and-prey model with 2 observed indicators for identifying two latent factors. The variables are as follows:
Usage
data(RSPPsim)
Format
A data frame with 6000 rows and 8 variables
Details
id. ID of the systems (1 to 20)
time. Time index (300 time points for each system)
prey. The true population of the prey species
predator. The true population of the predator species
x. Observed indicator for the population of the prey species
y. Observed indicator for the population of the predator species
cond. A time-varying covariate indicating the conditions of the respective eco-system across time which affects the regime-switching transition matrix
regime. The true regime indicators across time (1 and 2).
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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