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Merge branch 'main' of github.com:scicloj/metamorph.ml into linearReg…
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…ression
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behrica committed May 22, 2024
2 parents 69af33d + 778eff6 commit 6523421
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12 changes: 10 additions & 2 deletions resources/columms-glance.edn
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;; :crit "Minimized criterion",
;; :cv.crit "Cross-validation score",
;; :den.df "Degrees of freedom of the denominator",
;; :deviance "Deviance of the model.",
:deviance "Deviance of the model.",
:df "Degrees of freedom used by the model."
;; :df.null "Degrees of freedom used by the null model.",
;; :df.residual "Residual degrees of freedom.",
:df.residual "Residual degrees of freedom.",
;; :dw.original "Durbin-Watson statistic of original fit.",
;; :dw.transformed "Durbin-Watson statistic of transformed fit.",
;; :edf "The effective degrees of freedom.",
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;; :missing-method "Method for eliminating missing data.",
;; :model "A character string denoting the model at which the optimal BIC occurs.",
:mse "Mean Squared Deviation"
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;; :n "The total number of observations.",
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:n "The total number of observations.",
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;; :n.clusters "Number of clusters.",
;; :n.factors "The number of fitted factors.",
;; :n.max "Maximum number of subjects at risk.",
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;; :sigma-2-j "The square root of the estimated residual variance for the j-th longitudinal process.",
;; :spar "Smoothing parameter.",
;; :srmr "Standardised root mean residual.",
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;; :statistic "Test statistic.",
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:statistic "Test statistic.",
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;; :statistic.-sargan "Statistic for Sargan test.",
;; :statistic.weak.instr "Statistic for weak instrument F-test.",
;; :statistic.-wu.-hausman "Statistic for Wu-Hausman test.",
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2 changes: 1 addition & 1 deletion resources/columms-tidy.edn
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;; :statistic.-sargan "Statistic for Sargan test of overidentifying restrictions.",
;; :statistic.weakinst "Statistic for Wu-Hausman test.",
;; :statistic.-wu.-hausman "Statistic for Wu-Hausman weak instruments test for endogeneity.",
;; :std-estimate "The standardized regression coefficients.",
:std-estimate "The standardized regression coefficients.",
;; :std.all "Standardized estimates based on both the variances of both (continuous) observed and latent variables.",
;; :std.dev "Standard deviation explained by this PC.",
:std.error "The standard error of the regression term."
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