compute_theta: Estimate latent traits in LHMM
In proclhmm: Latent Hidden Markov Models for Response Process Data
compute_theta R Documentation
Estimate latent traits in LHMM
Description
Compute MAP estimates of latent traits given LHMM parameters
Usage
compute_theta(int_seqs, para_a, para_b, para_alpha, para_beta, para_P1, n_pts)
Arguments
int_seqs
a list of n action sequences where actions are coded as integers 0, ..., N-1
para_a
K by K-1 matrix. discrimination parameters of state transition probability matrix
para_b
K by K-1 matrix. location parameters of state transition probability matrix
para_alpha
K by N-1 matrix. discrimination parameters of state-action (emission) probability matrix
para_beta
K by N-1 matrix. location parameters of state-action (emission) probability matrix
para_P1
a vector of length K-1. parameters of initial state probability vector
n_pts
number of quadrature points
Value
a vector of length n. Estimated latent traits.
proclhmm documentation built on June 22, 2024, 10:02 a.m.
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| compute_theta | R Documentation |
Estimate latent traits in LHMM
Description
Compute MAP estimates of latent traits given LHMM parameters
Usage
compute_theta(int_seqs, para_a, para_b, para_alpha, para_beta, para_P1, n_pts)
Arguments
int_seqs |
a list of |
para_a |
|
para_b |
|
para_alpha |
|
para_beta |
|
para_P1 |
a vector of length |
n_pts |
number of quadrature points |
Value
a vector of length n. Estimated latent traits.
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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