extract: `extract` methods for some objects.

Description

extract method for slseFit objects created by the estSLSE function.

extract method for cslse objects created by the causalSLSE function.

extract method for altCausal objects created by the functions in the list of alternative methods: altCausal.

Usage

# S4 method for slseFit
extract(
  model,
  include.rsquared = TRUE,
  include.adjrs = TRUE, 
  include.nobs = TRUE,
  include.fstatistic = FALSE,
  include.rmse = FALSE,
  ...)
# S4 method for cslse
extract(
    model,
    include.nobs = TRUE,
    include.nknots = TRUE,
    include.numcov = TRUE,
    include.rsquared = TRUE,
    include.adjrs=TRUE,
    separated.rsquared = FALSE,    
    which = c("ALL","ACE","ACT","ACN","ACE-ACT","ACE-ACN","ACT-ACN"),
    ...)
# S4 method for altCausal
extract(
    model,
    include.nobs = TRUE,
    ...)

Value

It returns an object of class texreg.

Arguments

model: A model object.
include.nobs: Report the number of obervations?
include.nknots: Report the total number of knots for each group?
include.numcov: Report the total number of covariates (including interactions is any) per group?
include.rsquared: Report the R-squared of the final regression estimation
include.adjrs: Report the adjusted R-squared of the final regression estimtion
separated.rsquared: Should we print the R-squared separately for each group? This applies as well to the adjusted R-squared.
which: Which causal effect measures should be printed?
include.fstatistic: Report the F-statistics?
include.rmse: Report the RMSE?
...: Custom parameters, which are handed over to subroutines. Currently not in use.