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cran submited version 0.5.1
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comeetie committed May 3, 2021
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4 changes: 2 additions & 2 deletions CRAN-RELEASE
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This package was submitted to CRAN on 2021-04-20.
Once it is accepted, delete this file and tag the release (commit 1937a64).
This package was submitted to CRAN on 2021-05-03.
Once it is accepted, delete this file and tag the release (commit 8b698f7).
36 changes: 17 additions & 19 deletions README.md
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Expand Up @@ -50,7 +50,7 @@ plotting functionality.

## Installation

You can install the developpement version of greed from
You can install the development version of greed from
[GitHub](https://github.com/) with:

``` r
Expand All @@ -59,7 +59,7 @@ install.packages("devtools")
devtools::install_github("comeetie/greed")
```

Or use the CRAN version
Or use the CRAN version:

``` r
#CRAN
Expand All @@ -79,17 +79,13 @@ library(greed)
data(Jazz)
sol=greed(Jazz)
#> ------- undirected DCSBM model fitting ------
#> ################# Generation 1: best solution with an ICL of -28617 and 15 clusters #################
#> ################# Generation 2: best solution with an ICL of -28594 and 16 clusters #################
#> ################# Generation 3: best solution with an ICL of -28581 and 13 clusters #################
#> ################# Generation 4: best solution with an ICL of -28576 and 15 clusters #################
#> ################# Generation 5: best solution with an ICL of -28576 and 13 clusters #################
#> ################# Generation 6: best solution with an ICL of -28568 and 13 clusters #################
#> ################# Generation 7: best solution with an ICL of -28561 and 13 clusters #################
#> ################# Generation 8: best solution with an ICL of -28561 and 13 clusters #################
#> ################# Generation 9: best solution with an ICL of -28561 and 13 clusters #################
#> ################# Generation 1: best solution with an ICL of -28611 and 16 clusters #################
#> ################# Generation 2: best solution with an ICL of -28601 and 15 clusters #################
#> ################# Generation 3: best solution with an ICL of -28580 and 16 clusters #################
#> ################# Generation 4: best solution with an ICL of -28578 and 15 clusters #################
#> ################# Generation 5: best solution with an ICL of -28578 and 15 clusters #################
#> ------- Final clustering -------
#> ICL clustering with a DCSBM model, 12 clusters and an icl of -28556.
#> ICL clustering with a DCSBM model, 14 clusters and an icl of -28559.
```

Here Jazz is a square sparse matrix and a `` ?`dcsbm-class` `` model
Expand Down Expand Up @@ -130,14 +126,16 @@ plan(multisession)
data("Blogs")
sol=greed(Blogs$X)
#> ------- directed DCSBM model fitting ------
#> ################# Generation 1: best solution with an ICL of -84548 and 16 clusters #################
#> ################# Generation 2: best solution with an ICL of -84267 and 20 clusters #################
#> ################# Generation 3: best solution with an ICL of -84260 and 20 clusters #################
#> ################# Generation 4: best solution with an ICL of -84225 and 18 clusters #################
#> ################# Generation 5: best solution with an ICL of -84212 and 18 clusters #################
#> ################# Generation 6: best solution with an ICL of -84212 and 18 clusters #################
#> ################# Generation 1: best solution with an ICL of -84417 and 16 clusters #################
#> ################# Generation 2: best solution with an ICL of -84358 and 17 clusters #################
#> ################# Generation 3: best solution with an ICL of -84199 and 18 clusters #################
#> ################# Generation 4: best solution with an ICL of -84179 and 19 clusters #################
#> ################# Generation 5: best solution with an ICL of -84160 and 18 clusters #################
#> ################# Generation 6: best solution with an ICL of -84150 and 17 clusters #################
#> ################# Generation 7: best solution with an ICL of -84143 and 17 clusters #################
#> ################# Generation 8: best solution with an ICL of -84143 and 17 clusters #################
#> ------- Final clustering -------
#> ICL clustering with a DCSBM model, 17 clusters and an icl of -84177.
#> ICL clustering with a DCSBM model, 16 clusters and an icl of -84101.
plot(sol)
```

Expand Down
10 changes: 5 additions & 5 deletions docs/articles/GMM.html

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