chlm_loglik: Loglikelihood of the HLM model.
In mlysy/hlm: Inference for a Heteroscedastic Linear Model
Description
Usage
Arguments
Value
Description
Loglikelihood of the HLM model.
Usage
1
chlm_loglik(beta, gamma, y, delta, X, Z)
Arguments
beta
Mean parameter vector of length p.
gamma
Variance parameter vector of length q.
y
Vector of observations of length n.
delta
Optional logical vector of length n indicating the censorring status (TRUE: uncensored, FALSE: uncensored).
X
Mean covariate matrix of size n x p.
Z
Variance covariate matrix of size n x q.
Value
The loglikelihood evaluated at the parameters values (a scalar).
mlysy/hlm documentation built on Nov. 4, 2019, 7:26 p.m.
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Description Usage Arguments Value
Description
Loglikelihood of the HLM model.
Usage
1 | chlm_loglik(beta, gamma, y, delta, X, Z)
|
Arguments
beta |
Mean parameter vector of length |
gamma |
Variance parameter vector of length |
y |
Vector of observations of length |
delta |
Optional logical vector of length |
X |
Mean covariate matrix of size |
Z |
Variance covariate matrix of size |
Value
The loglikelihood evaluated at the parameters values (a scalar).
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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