static_conditional_pmf_i: Conditional PMF of I in the static model
In nianqiaoju/agents: Toolkit for inference in agent-based modelss
Description
Usage
Arguments
Value
View source: R/static_conditional_pmf_i.R
Description
computes the marginal likelihood observing y given alpha in the static case and computes the conditional pmf of each i
Usage
1
static_conditional_pmf_i(y, alpha, rho, N)
Arguments
y
observation (0 <= y <= N)
alpha
a length N vector of probabilities
rho
reporting rate
N
length of alpha
Value
a list containing
cpmf:conditional pmf of i given y as a vector of probabilities
llik:log-likelihood of y
nianqiaoju/agents documentation built on Feb. 19, 2021, 12:18 a.m.
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Description Usage Arguments Value
View source: R/static_conditional_pmf_i.R
Description
computes the marginal likelihood observing y given alpha in the static case and computes the conditional pmf of each i
Usage
1 | static_conditional_pmf_i(y, alpha, rho, N)
|
Arguments
y |
observation (0 <= y <= N) |
alpha |
a length N vector of probabilities |
rho |
reporting rate |
N |
length of alpha |
Value
a list containing
cpmf:conditional pmf of i given y as a vector of probabilities
llik:log-likelihood of y
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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