fungible | R Documentation |
Generates fungible regression weights (Waller, 2008) and related results using the method by Waller and Jones (2010).
fungible(
object,
theta = 0.005,
Nstarts = 1000,
MaxMin = c("min", "max"),
silent = FALSE,
...
)
object |
A fitted model object. Currently supported classes are: "cpa" |
theta |
A vector of values to decrement from R-squared to compute families of fungible coefficients. |
Nstarts |
Maximum number of (max) minimizations from random starting configurations. |
MaxMin |
Should the cosine between the observed and alternative weights be maximized ("max") to find the maximally similar coefficients or minimized ("min") to find the maximally dissimilar coefficients? |
silent |
Should current optimization values be printed to the console ( |
... |
Additional arguments |
A list containing the alternative weights and other fungible weights estimation parameters
Niels Waller, Jeff Jones, Brenton M. Wiernik. Adapted from fungible::fungibleExtrema()
.
Waller, N. G. (2008). Fungible weights in multiple regression. Psychometrika, 73(4), 691–703. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s11336-008-9066-z")}
Waller, N. G., & Jones, J. A. (2009). Locating the extrema of fungible regression weights. Psychometrika, 74(4), 589–602. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s11336-008-9087-7")}
mind <- cpa_mat(mindfulness ~ ES + A + C + Ex + O,
cov_mat = mindfulness$r,
n = harmonic_mean(vechs(mindfulness$n)),
se_var_mat = cor_covariance_meta(mindfulness$r,
mindfulness$n,
mindfulness$sevar_r,
mindfulness$source),
adjust = "pop")
mind_fung <- fungible(mind, Nstarts = 100)
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