Description Usage Arguments Value Examples

View source: R/compare_predictions_test.R

This is a plot function to determine whether the distributions of predictions from ERGM and FERGM objects differ. It does so by using a Kolmogorov-Smirnov Test.

1 | ```
compare_predictions_test(compare_predictions_out = NULL, alpha_level = 0.05)
``` |

`compare_predictions_out` |
Matrix of correctly predicted ties produced by the |

`alpha_level` |
The significance level that should be used for the test. |

Returns `ks.test`

output to determine if the percent of correctly predicted ERGM ties are less than those of the FERGM and prints a message to assist with interpretation

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
# load example data
data("ergm.fit")
data("fergm.fit")
data("mesa")
# Use built in compare_predictions function to compare predictions of ERGM and FERGM,
# few replications due to example
net <- ergm.fit$network
predict_out <- compare_predictions(ergm.fit = ergm.fit, fergm.fit = fergm.fit,
replications = 10, seed = 12345)
# We can also conduct a KS test to determine if the FERGM fit it statistically
# distinguishable from the ERGM fit
compare_predictions_test(predict_out)
``` |

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