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 |
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