likelihood.jsodm_lv_sepexp: Likelihood Computation for JSODM_LV Model
In sustainablefarms/msod: Multispecies Occupancy Detection Models
View source: R/likelihood_jsodm_lv_sepexp.R
likelihood.jsodm_lv_sepexp R Documentation
Likelihood Computation for JSODM_LV Model
Description
Computes the likelihood of observations at each ModelSite. At data in the fitted model, or on new data supplied.
It uses likelihood_joint_LVvmarg_draw.jsodm_lv.
Usage
## S3 method for class 'jsodm_lv_sepexp'
likelihood(fit, numlvsims = 1000, cl = NULL, simseed = NULL)
Arguments
numlvsims
the number of simulated latent variable values to use for computing likelihoods
cl
a cluster created by parallel::makeCluster()
chains
is a vector indicator which mcmc chains to extract draws from. If NULL then all chains used.
Value
Returns a matrix. Each row corresponds to a draw of the parameters from the posterior. Each column to a ModelSite.
The value in each cell is the probability density, given the parameters from the draw, evaluated at the observations for the model site.
sustainablefarms/msod documentation built on March 6, 2023, 7:17 a.m.
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View source: R/likelihood_jsodm_lv_sepexp.R
| likelihood.jsodm_lv_sepexp | R Documentation |
Likelihood Computation for JSODM_LV Model
Description
Computes the likelihood of observations at each ModelSite. At data in the fitted model, or on new data supplied. It uses likelihood_joint_LVvmarg_draw.jsodm_lv.
Usage
## S3 method for class 'jsodm_lv_sepexp' likelihood(fit, numlvsims = 1000, cl = NULL, simseed = NULL)
Arguments
numlvsims |
the number of simulated latent variable values to use for computing likelihoods |
cl |
a cluster created by parallel::makeCluster() |
chains |
is a vector indicator which mcmc chains to extract draws from. If NULL then all chains used. |
Value
Returns a matrix. Each row corresponds to a draw of the parameters from the posterior. Each column to a ModelSite. The value in each cell is the probability density, given the parameters from the draw, evaluated at the observations for the model site.
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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