evaluate_pmmh: Build a dataset for easy testing
In nickseedorff/pmmhLong: Pseudo-marginal Metroplis Hastings for Efficient Multivariate Longitudinal Poisson Regression
Description
Usage
Arguments
Value
View source: R/helper_functions.R
Description
Build a dataset for easy testing
Usage
1
evaluate_pmmh(pmmh_res, gen_data_obj, burn_in = 51)
Arguments
pmmh_res
list of results from the pmmh_function
burn_in
scalar, number of draws to discard
data
scalar
mean_vec
vector, linear predictor without the GP
Value
list with data matrix vector or true values
nickseedorff/pmmhLong documentation built on Dec. 31, 2020, 12:05 a.m.
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Description Usage Arguments Value
View source: R/helper_functions.R
Description
Build a dataset for easy testing
Usage
1 | evaluate_pmmh(pmmh_res, gen_data_obj, burn_in = 51)
|
Arguments
pmmh_res |
list of results from the pmmh_function |
burn_in |
scalar, number of draws to discard |
data |
scalar |
mean_vec |
vector, linear predictor without the GP |
Value
list with data matrix vector or true values
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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