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> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
> 
> library(testthat)
> library(hgwrr)
Loading required package: sf
Linking to GEOS 3.12.1, GDAL 3.8.4, PROJ 9.3.1; sf_use_s2() is TRUE
> 
> test_check("hgwrr")
Hierarchical and geographically weighted regression model
=========================================================
Formula: y ~ L(g1 + g2) + x1 + (z1 | group)
 Method: Back-fitting and Maximum likelihood
   Data: multisampling$data

Global Fixed Effects
-------------------
 Intercept        x1 
  3.607563  0.975838 

Local Fixed Effects
-------------------
Bandwidth: 10 (nearest neighbours)
 Coefficient        Min  1st Quartile     Median  3rd Quartile        Max 
   Intercept  -1.824716     -1.745141  -1.664113     -1.552718  -1.469591 
          g1   5.911371      6.336709   6.745819      7.150387   7.537932 
          g2  -0.338279      0.027544   0.471335      0.807437   0.907289 

Random Effects
--------------
   Groups       Name  Std.Dev.       Corr 
    group  Intercept  1.908110            
                  z1  1.303700  -0.841043 
 Residual             1.947259            

Other Information
-----------------
Number of Obs: 484
       Groups: group , 16
Hierarchical and geographically weighted regression model
=========================================================
Formula: y ~ L(g1 + g2) + x1 + (z1 | group)
 Method: Back-fitting and Maximum likelihood
   Data: multisampling$data

Global Fixed Effects
-------------------
| Intercept |       x1 |
| --------- | -------- |
|  3.607563 | 0.975838 |

Local Fixed Effects
-------------------
Bandwidth: 10 (nearest neighbours)
| Coefficient |       Min | 1st Quartile |    Median | 3rd Quartile |       Max |
| ----------- | --------- | ------------ | --------- | ------------ | --------- |
|   Intercept | -1.824716 |    -1.745141 | -1.664113 |    -1.552718 | -1.469591 |
|          g1 |  5.911371 |     6.336709 |  6.745819 |     7.150387 |  7.537932 |
|          g2 | -0.338279 |     0.027544 |  0.471335 |     0.807437 |  0.907289 |

Random Effects
--------------
|   Groups |      Name | Std.Dev. |      Corr |
| -------- | --------- | -------- | --------- |
|    group | Intercept | 1.908110 |           |
|          |        z1 | 1.303700 | -0.841043 |
| Residual |           | 1.947259 |           |

Other Information
-----------------
Number of Obs: 484
       Groups: group , 16
Hierarchical and geographically weighted regression model
=========================================================
Formula: y ~ L(g1 + g2) + x1 + (z1 | group)
 Method: Back-fitting and Maximum likelihood
   Data: multisampling$data

Parameter estimates
-------------------
Fixed effects:
|           | Estimated |   Sd. Err |    t.val | Pr(>|t|) |     |
| --------- | --------- | --------- | -------- | -------- | --- |
| Intercept | 3.6075632 | 0.1490399 | 24.20536 |        0 | *** |
|        x1 | 0.9758377 | 0.0466415 | 20.92209 |        0 | *** |

Local fixed effects:
|           |       Min | 1st Quartile |    Median | 3rd Quartile |       Max |
| --------- | --------- | ------------ | --------- | ------------ | --------- |
| Intercept | -1.824716 |    -1.745141 | -1.664113 |    -1.552718 | -1.469591 |
|        g1 |  5.911371 |     6.336709 |  6.745819 |     7.150387 |  7.537932 |
|        g2 | -0.338279 |     0.027544 |  0.471335 |     0.807437 |  0.907289 |

Diagnostics
-----------
| rsquared |    0.644118 |
| -------- | ----------- |
|   logLik | -364.135171 |
|      AIC |  745.492858 |

Scaled residuals
----------------
|       Min |        1Q |    Median |       3Q |      Max |
| --------- | --------- | --------- | -------- | -------- |
| -5.499110 | -1.173985 | -0.083345 | 1.311526 | 5.527857 |

Other Information
-----------------
Number of Obs: 484
       Groups: group , 16
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 22 ]
> 
> proc.time()
   user  system elapsed 
   2.10    0.21    2.31