<p>Posterior mean (SD) of variance components, heritability over Markov chain Monte Carlo replicates and LogCPO and DIC from different models.</p
Mean of the posterior probabilities of belonging to each latent class in the model for Δstd.msec.</p
<p>Variance component estimates (±standard errors) and heritabilities for simulation data with 3 dom...
<p>The figure shows the results for varying values of the autocorrelation parameter (<i>α</i>) where...
<p>Posterior inferences for the mean and genetic variance; the mode, mean, median and higher posteri...
<p>Markov chain Monte Carlo estimates of covariances and correlations of random effects across two p...
*<p>: Posterior mean of the residual variance, the estimate of this parameter can be regarded as a p...
Posterior means the standard deviation (SD) and the 95% HPD intervals (LL: lower limit, LU: upper li...
<p>Posterior inferences for the mean and genetic variance; the mode, mean, median and higher posteri...
<p>Posterior densities of the variance components for the singular values and , obtained using th...
<p>Mean posterior log-likelihood of the data for each round and site given the model and different s...
Posterior estimates (95% credible interval) for variance components of the best 4 models with and wi...
<p>Variance components and heritability estimates for the feed efficiency traits.</p
<p>Posterior densities of the variance components for the singular values and , obtained using th...
Posterior means, posterior standard deviations and the 95% highest posterior density interval (HPD) ...
<p>Posterior mean estimates and the 95% credible interval (CI) for the variance components of the si...
Mean of the posterior probabilities of belonging to each latent class in the model for Δstd.msec.</p
<p>Variance component estimates (±standard errors) and heritabilities for simulation data with 3 dom...
<p>The figure shows the results for varying values of the autocorrelation parameter (<i>α</i>) where...
<p>Posterior inferences for the mean and genetic variance; the mode, mean, median and higher posteri...
<p>Markov chain Monte Carlo estimates of covariances and correlations of random effects across two p...
*<p>: Posterior mean of the residual variance, the estimate of this parameter can be regarded as a p...
Posterior means the standard deviation (SD) and the 95% HPD intervals (LL: lower limit, LU: upper li...
<p>Posterior inferences for the mean and genetic variance; the mode, mean, median and higher posteri...
<p>Posterior densities of the variance components for the singular values and , obtained using th...
<p>Mean posterior log-likelihood of the data for each round and site given the model and different s...
Posterior estimates (95% credible interval) for variance components of the best 4 models with and wi...
<p>Variance components and heritability estimates for the feed efficiency traits.</p
<p>Posterior densities of the variance components for the singular values and , obtained using th...
Posterior means, posterior standard deviations and the 95% highest posterior density interval (HPD) ...
<p>Posterior mean estimates and the 95% credible interval (CI) for the variance components of the si...
Mean of the posterior probabilities of belonging to each latent class in the model for Δstd.msec.</p
<p>Variance component estimates (±standard errors) and heritabilities for simulation data with 3 dom...
<p>The figure shows the results for varying values of the autocorrelation parameter (<i>α</i>) where...