Print summary of an hgwrm object.

Print summary of an hgwrm object.

Usage

# S3 method for class 'summary.hgwrm'
print(x, decimal.fmt = "%.6f", ...)

Arguments

x

An object returned from summary.hgwrm().

decimal.fmt

The format string passing to base::sprintf().

...

Arguments passed on to print.table.md

col.sep

Column separator. Default to "".

header.sep

Header separator. Default to "-". If header.sep only contains one character, it will be repeated for each column. If it contains more than one character, it will be printed below the first row.

row.begin

Character at the beginning of each row. Default to col.sep.

row.end

Character at the ending of each row. Default to col.sep.

table.before

Characters to be printed before the table.

table.after

Characters to be printed after the table.

table.style

Name of pre-defined style. Possible values are "plain", "md", "latex", or "booktabs". Default to "plain".

Value

No return.

See also

summary.hgwrm(), print.table.md().

Examples

data(multisampling)
model <- hgwr(formula = y ~ L(g1 + g2) + x1 + (z1 | group),
              data = multisampling$data,
              coords = multisampling$coords,
              bw = 10)
summary(model)
#> 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   2.844509  0.254491  11.177234  0.000000  *** 
#>         x1   0.966059  0.046763  20.658467  0.000000  *** 
#> 
#> Bandwidth: 10 (nearest neighbours)
#> 
#> GLSW effects:
#>             Mean Est.  Mean Sd.   ***    **      *      . 
#>  Intercept  -1.115285  0.557561  0.0%  0.0%  56.2%  18.8% 
#>         g1   6.976060  3.208388  0.0%  6.2%  62.5%  31.2% 
#>         g2   0.663998  3.249016  0.0%  0.0%   0.0%   0.0% 
#> 
#> SLR effects:
#>    Groups       Name      Mean  Std.Dev.      Corr 
#>     group  Intercept  0.000000  1.921255           
#>                   z1  0.005422  1.921255  0.000000 
#>  Residual             0.233641  1.921255           
#>    Groups       Name      Mean  Std.Dev.      Corr 
#>     group  Intercept  0.000000  1.921255           
#>                   z1  0.005422  1.921255  0.000000 
#>  Residual             0.233641  1.921255           
#> 
#> 
#> Diagnostics
#> -----------
#>  rsquared  0.641698 
#>    logLik       NaN 
#>       AIC       NaN 
#> 
#> Scaled Residuals
#> ----------------
#>        Min         1Q    Median        3Q       Max 
#>  -5.222809  -0.982000  0.161400  1.480594  5.562956 
#> 
#> Other Information
#> -----------------
#> Number of Obs: 484
#>        Groups: group , 16