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The maximum number of parameters in a regression model as a proportion of the sample size in a study. If a study has 1000 observational units (typically individuals) being used in a particular analysis then if nfilter.glm is set to 0.37 33 (its default value) the maximum allowable number of parameters in a model fitted to those data will be 370330. This disclosure filter protects against fitting overly saturated models which can be disclosive. The choice of 0.37 is entirely arbitrary.

nfilter.string

The maximum length of a string argument if that argument is to be subject to testing of its length. Default value = 80. The aim of this nfilter is to make it difficult for hackers to find a way to embed malicious code in a valid string argument that is actively interpreted.

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