expectation_log: Estimate the mean for a STAR process
In drkowal/rSTAR: MCMC and EM algorithms for Simultaneous Transformation and Rounding (STAR) Models
expectation_log R Documentation
Estimate the mean for a STAR process
Description
Estimate the conditional expectation for a STAR process
under the log link function.
Usage
expectation_log(a, Jmax, Mu, sigma_t, Offset)
Arguments
a
Jmaxmax-dimensonal vector of STAR integers a_j
Jmax
T x m matrix of maximum integer values to consider
Mu
T x m matrix of latent means
sigma_t
T-dimensional vector of time-dependent latent error sd's
Offset
T x m matrix of offsets
Value
Zhat T x m matrix of conditional expectations
Note
This function uses Rcpp for computational efficiency.
drkowal/rSTAR documentation built on July 5, 2023, 2:18 p.m.
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| expectation_log | R Documentation |
Estimate the mean for a STAR process
Description
Estimate the conditional expectation for a STAR process under the log link function.
Usage
expectation_log(a, Jmax, Mu, sigma_t, Offset)
Arguments
a |
|
Jmax |
|
Mu |
|
sigma_t |
|
Offset |
|
Value
Zhat T x m matrix of conditional expectations
Note
This function uses Rcpp for computational efficiency.
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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