Description Usage Arguments Value Examples
constrained_far
compute the far for wich the non-stationnary
components from model fit_o are constrained by the statistical model fit_m.
i.e. fit_o must have the same fitted parameters has fit_m with the exception
of the intercept parameters.
1 | constrained_far(far_o, far_m, model, xp = 1.6, ci_p = 0.9)
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far_o |
result from a function compute_far |
far_m |
result from a function compute_far. It should have the same stastical model for y as far_o. the fitted parameters with the exception of the intercepts will constrained the statistical model that will be refitted for far_o. |
the far_o object where the the fitted model far_o$mfit has been constrain by the results of far_m
1 2 3 | far_cnrm <- compute_far.default("cnrm", y="eur_tas", x="gbl_tas", time="year")
far_obs <- compute_far.default("obs", y="eur_tas", x="gbl_tas", time="year")
far_cstr <- constrained_far(far_obs, far_cnrm, model="cnrm")
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