groupfsInf: Compute selective p-values for a model fitted by 'groupfs'.
In selectiveInference: Tools for Post-Selection Inference

Computes p-values for each group of variables in a model fitted by groupfs. These p-values adjust for selection by truncating the usual χ^2 statistics to the regions implied by the model selection event. If the sigma to groupfs was NULL then groupfsInf uses truncated F statistics instead of truncated χ. The sigma argument to groupfsInf allows users to override and use χ, but this is not recommended unless σ can be estimated well (i.e. n > p).

1	groupfsInf(obj, sigma = NULL, verbose = TRUE)

`obj`	Object returned by `groupfs` function
`sigma`	Estimate of error standard deviation. Default is NULL and in this case groupfsInf uses the value of sigma specified to `groupfs`.
`verbose`	Print out progress along the way? Default is TRUE.

An object of class "groupfsInf" containing selective p-values for the fitted model obj. For comparison with fsInf, note that the option type = "active" is not available.

vars: Labels of the active groups in the order they were included.
pv: Selective p-values computed from appropriate truncated distributions.
sigma: Estimate of error variance used in computing p-values.
TC or TF: Observed value of truncated χ or F.
df: Rank of group of variables when it was added to the model.
support: List of intervals defining the truncation region of the corresponding statistic.