# gofit.lolog: Goodness of Fit Diagnostics for a LOLOG fit In lolog: Latent Order Logistic Graph Models

## Description

Goodness of Fit Diagnostics for a LOLOG fit

## Usage

 ```1 2``` ```## S3 method for class 'lolog' gofit(object, formula, nsim = 100, ...) ```

## Arguments

 `object` the object to evaluate `formula` A formula specifying the statistics on which to evaluate the fit `nsim` The number of simulated statistics `...` additional parameters

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39``` ```library(network) data(ukFaculty) # Delete vertices missing group delete.vertices(ukFaculty, which(is.na(ukFaculty %v% "Group"))) # A dyad independent model fitind <- lolog(ukFaculty ~ edges() + nodeMatch("GroupC") + nodeCov("GroupC")) summary(fitind) # Check gof on degree distribution (bad!) gind <- gofit(fitind, ukFaculty ~ degree(0:50)) gind plot(gind) #check gof on esp distribution (bad!) gind <- gofit(fitind, ukFaculty ~ esp(0:25)) gind plot(gind) ## Not run: #include triangles and 2-stars (in and out) fitdep <- lolog(ukFaculty ~ edges() + nodeMatch("GroupC") + nodeCov("GroupC") + triangles + star(2, direction="in") + star(2, direction="out"), nsamp=1500) summary(fitdep) # Check gof on (in + out) degree distribution (good!) gdep <- gofit(fitdep, ukFaculty ~ degree(0:50)) gdep plot(gdep) #check gof on esp distribution (good!) gdep <- gofit(fitdep, ukFaculty ~ esp(0:25)) gdep plot(gdep) ## End(Not run) ```

lolog documentation built on July 1, 2021, 9:09 a.m.