R Under development (unstable) (2024-10-01 r87205 ucrt) -- "Unsuffered Consequences"
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> library(testthat)
> library(disaggregation)
> 
> test_check("disaggregation")
Fitting model. This may be slow.
The data contains 100 polygons and 400 pixels
The largest polygon contains 4 pixels and the smallest polygon contains 4 pixels
There are 2 covariates

Covariate summary:
     layer1           layer2      
 Min.   :-6.624   Min.   :-5.353  
 1st Qu.: 5.459   1st Qu.: 5.245  
 Median :10.422   Median :10.184  
 Mean   :10.445   Mean   :10.449  
 3rd Qu.:15.687   3rd Qu.:15.639  
 Max.   :27.074   Max.   :25.318  
They data contains 100 polygons and 400 pixels
The largest polygon contains 4 pixels and the smallest polygon contains 4 pixels
There are 2 covariates
Likelihood function: poisson 
Link function: log 
Model parameters:
                       Estimate Std. Error
intercept          4.2117998190 0.29927489
layer1             0.0003111766 0.01862238
layer2             0.0243920892 0.01781718
iideffect_log_tau -0.0530732117 0.14802098
log_sigma         -2.4694291003 0.88270825
log_rho            2.7991791297 0.84848107

Model convergence: 0 (relative convergence (4))
Negative log likelihood:  -513.626610616458 

In sample performance:
       RMSE       MAE   pearson spearman log_pearson
1 0.9612894 0.7026072 0.9999986        1   0.9982898
Bayesian disaggregation model result

Likelihood function: poisson 
Link function: log 

Parameter values:
        intercept            layer1            layer2 iideffect_log_tau 
     4.2117998190      0.0003111766      0.0243920892     -0.0530732117 
        log_sigma           log_rho 
    -2.4694291003      2.7991791297 
Predction from disaggregation model

Components of the model: covariates field 

There are 100 uncertainty realisations

The mean predicted values range from 59.2 to 127 
The predicted IQR takes values from 33.2 to 201 
Predction from disaggregation model

Components of the model: covariates field 

There are 100 uncertainty realisations[ FAIL 0 | WARN 0 | SKIP 0 | PASS 299 ]
> 
> 
> proc.time()
   user  system elapsed 
 275.40    5.00  280.31