initialize_randomLCM: Provide a random initial response profile based on latent...
In ddtlcm: Latent Class Analysis with Dirichlet Diffusion Tree Process Prior
View source: R/initialization.R
initialize_randomLCM R Documentation
Provide a random initial response profile based on latent class mode
Description
Provide a random initial response profile based on latent class mode
Usage
initialize_randomLCM(K, data)
Arguments
K
number of latent classes
data
a N by J observed binary matrix, where the i,j-th element is the response
of item j for individual i
Value
a K by J probability matrix, the k,j-th entry being the response probability to item
j of an individual in class k
ddtlcm documentation built on May 29, 2024, 5:41 a.m.
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View source: R/initialization.R
| initialize_randomLCM | R Documentation |
Provide a random initial response profile based on latent class mode
Description
Provide a random initial response profile based on latent class mode
Usage
initialize_randomLCM(K, data)
Arguments
K |
number of latent classes |
data |
a N by J observed binary matrix, where the i,j-th element is the response of item j for individual i |
Value
a K by J probability matrix, the k,j-th entry being the response probability to item j of an individual in class k
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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