get_meetingtime_metropolis_idchecking: The Metropolis sampler for Conditional Bernoulli distribution
In nianqiaoju/agents: Toolkit for inference in agent-based modelss
Description
Usage
Arguments
Value
View source: R/compute_distance_metropolis_idchecking.R
Description
meeting time between Metropolis sampler in gibbs_condbern.R and the Conditional-Bernoulli distribution
Usage
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get_meetingtime_metropolis_idchecking(
alpha,
sum_x,
num_repeat,
max_iterations = Inf
)
Arguments
alpha
vector of probabilities
sum_x
Conditional-Bernoulli constraint, sum of all entries
num_repeat
number of repetitions
max_iterations
maximum number of iterations, at which to interrup the while loop; Inf by default
Value
Meeting times stored in a vector
nianqiaoju/agents documentation built on Feb. 19, 2021, 12:18 a.m.
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Description Usage Arguments Value
View source: R/compute_distance_metropolis_idchecking.R
Description
meeting time between Metropolis sampler in gibbs_condbern.R and the Conditional-Bernoulli distribution
Usage
1 2 3 4 5 6 | get_meetingtime_metropolis_idchecking(
alpha,
sum_x,
num_repeat,
max_iterations = Inf
)
|
Arguments
alpha |
vector of probabilities |
sum_x |
Conditional-Bernoulli constraint, sum of all entries |
num_repeat |
number of repetitions |
max_iterations |
maximum number of iterations, at which to interrup the while loop; Inf by default |
Value
Meeting times stored in a vector
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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