init_params_full: Initial Parameters for 2D Pseudo-Loglikelihood Estimation
In STCCGEV: Conditional Copula Model for Crop Yield Forecasting
init_params_full R Documentation
Initial Parameters for 2D Pseudo-Loglikelihood Estimation
Description
Initial Parameters for 2D Pseudo-Loglikelihood Estimation
Usage
init_params_full
Format
A numeric vector of length (2+M+4*D*M) where:
- omega
Baseline autoregressive coefficient.
- alpha
Parameter controlling variance.
- gamma1, gamma2, gamma3
Coefficients related to external factors.
- phi_gev
AR(1) coefficient for GEV.
- sigma_mu
Std dev of innovations for AR(1) process for GEV.
- sigma_gev
GEV scale parameter for GEV.
- xi_gev
GEV shape parameter for GEV.
STCCGEV documentation built on April 4, 2025, 1:50 a.m.
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| init_params_full | R Documentation |
Initial Parameters for 2D Pseudo-Loglikelihood Estimation
Description
Initial Parameters for 2D Pseudo-Loglikelihood Estimation
Usage
init_params_full
Format
A numeric vector of length (2+M+4*D*M) where:
- omega
Baseline autoregressive coefficient.
- alpha
Parameter controlling variance.
- gamma1, gamma2, gamma3
Coefficients related to external factors.
- phi_gev
AR(1) coefficient for GEV.
- sigma_mu
Std dev of innovations for AR(1) process for GEV.
- sigma_gev
GEV scale parameter for GEV.
- xi_gev
GEV shape parameter for GEV.
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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