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Title

Usage

model_block(n, k, ...)

Arguments

n

TODO

k

TODO

...

Arguments passed on to model_mediator_block2

expected_degree

TODO

Value

TODO

Examples


set.seed(26)

mrdpg <- model_block(n = 100, k = 5)

graph <- sample_tidygraph(mrdpg)
graph
#> # A tbl_graph: 100 nodes and 64849 edges
#> #
#> # An undirected multigraph with 1 component
#> #
#> # Node Data: 100 × 7 (active)
#>    name  intercept   trt    C1    C2    C3      y
#>    <chr>     <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl>
#>  1 1             1     0     0     0     0 -18.7 
#>  2 2             1     0     0     0     0 -16.8 
#>  3 3             1     0     0     0     0 -16.8 
#>  4 4             1     0     0     0     0 -17.4 
#>  5 5             1     0     0     0     0 -16.0 
#>  6 6             1     0     0     0     0 -12.8 
#>  7 7             1     0     0     0     0 -15.5 
#>  8 8             1     0     0     0     0 -12.3 
#>  9 9             1     0     0     0     0 -11.1 
#> 10 10            1     0     0     0     0  -8.66
#> # ℹ 90 more rows
#> #
#> # Edge Data: 64,849 × 2
#>    from    to
#>   <int> <int>
#> 1     3    15
#> 2     2     2
#> 3     5    13
#> # ℹ 64,846 more rows

m_fit <- nodelm(US(A, 5) ~ . - name - y - 1, graph = graph)
o_fit <- nodelm(y ~ . - name - 1 + US(A, 5), graph = graph)

m_fit
#> 
#> Call:
#> stats::lm(formula = formula, data = data)
#> 
#> Coefficients:
#>            1        2        3        4        5      
#> intercept   0.6634  -0.6109  -0.7455   1.1750  -6.5163
#> trt         6.8154   2.2159   1.2954  -1.4991   6.6958
#> C1          0.3209  -0.7589  -5.9138  -2.2826   7.0145
#> C2          0.1433  -0.2490  -0.2667   5.5889   7.7282
#> C3          1.0306  -6.5937   2.3031  -1.7866   6.7774
#> 
o_fit
#> 
#> Call:
#> stats::lm(formula = formula, data = data)
#> 
#> Coefficients:
#> intercept        trt         C1         C2         C3  US(A, 5)1  US(A, 5)2  
#>    2.5317    -1.2148     0.0885    -1.1350    -0.2397     0.8030     1.5277  
#> US(A, 5)3  US(A, 5)4  US(A, 5)5  
#>    1.1536    -1.3185     1.5893  
#>