mi_simulate: Simulated MI values
In agoldst/dfrtopics: Tools for exploring topic models of text
mi_simulate R Documentation
Simulated MI values
Description
Given a topic, this function resamples its distribution over words and
documents from the posterior. These simulations are the basis for the
posterior check in mi_check (q.v.).
Usage
mi_simulate(m, k, groups = NULL, n_reps = 20)
Arguments
m
mallet_model object with sampling state loaded via
load_sampling_state
k
topic number (calculations are only done for one topic at a time)
groups
optional grouping factor for documents. If supplied, the IMI
values will be for words over groups rather than over individual documents
n_reps
number of simulations
Value
a vector of MI scores for the simulations
See Also
mi_check, imi_simulate
agoldst/dfrtopics documentation built on July 15, 2022, 4:13 p.m.
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| mi_simulate | R Documentation |
Simulated MI values
Description
Given a topic, this function resamples its distribution over words and
documents from the posterior. These simulations are the basis for the
posterior check in mi_check (q.v.).
Usage
mi_simulate(m, k, groups = NULL, n_reps = 20)
Arguments
m |
|
k |
topic number (calculations are only done for one topic at a time) |
groups |
optional grouping factor for documents. If supplied, the IMI values will be for words over groups rather than over individual documents |
n_reps |
number of simulations |
Value
a vector of MI scores for the simulations
See Also
mi_check, imi_simulate
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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