Man pages for DouglasMesquita/TGMRF
Transformed Gaussian Markov Random Fields
| appendList | Append two lists |
| buildQ | Build a dependence matrix |
| buildQC_cpp | buildQC_cpp |
| buildQL_cpp | buildQL_cpp |
| buildQST_cpp | buildQST_cpp |
| coef.tgmrf | Coefficients for tgmrf_model class |
| CPO_Poisson | Conditional Predictive Ordinate for Poisson data |
| dens_beta_cpp | dens_beta_cpp |
| dens_betas_cpp | dens_betas_cpp |
| dens_eps_cpp | dens_eps_cpp |
| dens_nu_cpp | dens_nu_cpp |
| dens_rho_cpp | dens_cpp |
| DIC | Deviance Information Criterion |
| erg_mean | Ergodic mean |
| LPML | Log Pseudo Marginal Likelihood |
| max_range | Maximum range dependence parameters |
| max_range_cpp | max_range_cpp |
| mcmc_poisson_st | MCMC poisson for spatio-temporal data |
| MEASURES | LPML, DIC and WAIC measures |
| mode | Mode based on the empirical density |
| moments_outcome | First two moments of the outcome |
| nenia_st | Nenia Tridens counts for spatio-temporal analisys |
| plotMCMC | Plot MCMC |
| plot.tgmrf | Plot for tgmrf_model class |
| poimcar_cpp | POIMCAR |
| print.tgmrf | Print for tgmrf_model class |
| PSEUDO_R2 | Pseudo R square |
| rmvnorm_cpp | rmvnorm_cpp |
| rtgmrf | Random observations of a Transformed Gaussian Markov Random... |
| rtgmrf_st | Random observations of a Transformed Gaussian Markov Random... |
| scale_num | Scale just numerical columns |
| st_tgmrf | Spatio-temporal Transformed Gaussian Markov Random Field |
| summary.tgmrf | Summary for tgmrf_model class (coda is necessary) |
| tgmrf | Transformed Gaussian Markov Random Field |
| tgmrf-class | An object of 'tgmrf' class |
| WAIC | Widely Applicable Information Criterion |
