Column names: glance()

[alexpghayes]

This issue thread is for proposals for column names changes. Please read #452 before commenting.

[alexpghayes]

Existing column names (this is fairly complete, but not perfect -- it was scraped from the \value{} section of .Rd files)

• column: adj.r.squared description: Adjusted R squared statistic, which is like the R squared statistic except taking degrees of freedom into account. used_by:
  • felm
  • ivreg
  • lm
  • orcutt
  • plm
  • speedlm
  • column: agfi description: Adjusted goodness of fit used_by: lavaan
  • column: aic description: Akaike information criterion used_by: lavaan
  • column: AIC description: Akaike's Information Criterion for the model. used_by:
• Arima
• biglm
• ergm
• fitdistr
• gam
• Gam
• garch
• glm
• lm
• mjoint
• multinom
• nlrq
• nls
• poLCA
• rlm
• rq
• speedlm
• survreg
  • column: betweenss description: The total between-cluster sum of squares used_by: kmeans
  • column: bic description: Bayesian information criterion used_by: lavaan
  • column: BIC description: Bayesian Information Criterion for the model. used_by:
• Arima
• ergm
• fitdistr
• gam
• Gam
• garch
• glm
• lm
• Mclust
• mjoint
• nlrq
• nls
• poLCA
• rlm
• rq
• speedlm
• survreg
  • column: cfi description: Comparative fit index used_by: lavaan
  • column: chi.squared description: The Pearson Chi-Square goodness of fit statistic for multiway tables used_by: poLCA
  • column: chisq description: Model chi squared used_by: lavaan
  • column: conf.high description: upper end of confidence interval on median used_by: survfit
  • column: conf.low description: lower end of confidence interval on median used_by: survfit
  • column: converged description: Logical indicating if the model fitting procedure was succesful and converged. used_by:
• factanal
• lavaan
• rlm
  • column: convergence description: convergence code representing the error state used_by: glance_optim
  • column: crit description: minimized criterion used_by: smooth.spline
  • column: cv.crit description: cross-validation score used_by: smooth.spline
  • column: deviance description: Deviance of the model. used_by:
• biglm
• gam
• Gam
• glm
• glmRob
• lm
• lmRob
• multinom
• nls
• plm
• rlm
• speedlm
  • column: df description: Degrees of freedom used by the model. used_by:
• aareg
• factanal
• felm
• gmm
• ivreg
• ivreg
• lm
• Mclust
• poLCA
• smooth.spline
• speedlm
• survdiff
• survreg
  • column: df.null description: Needs custom info. used_by:
• ergm
• glm
  • column: df.residual description: Residual degrees of freedom for the model. used_by:
• finish_Rd
• biglm
• ergm
• felm
• Gam
• glm
• glmRob
• gmm
• ivreg
• ivreg
• lm
• lmRob
• nlrq
• nls
• plm
• poLCA
• rq
• speedlm
• survreg
• mgcv_glance_gam
  • column: dw.original description: Durbin-Watson statistic of original fit used_by: orcutt
  • column: dw.transformed description: Durbin-Watson statistic of transformed fit used_by: orcutt
  • column: edf description: The effective degrees of freedom used_by: multinom
  • column: estimator description: Estimator used used_by: lavaan
  • column: events description: number of events used_by: survfit
  • column: finTol description: the achieved convergence tolerance used_by: nls
  • column: function.count description: number of calls to fn used_by: glance_optim
  • column: G description: The optimal number of mixture components used_by: Mclust
  • column: g.squared description: The likelihood ratio/deviance statistic used_by: poLCA
  • column: gradient.count description: number of calls to gr used_by: glance_optim
  • column: H description: H statistic for computing confidence interval of major axis slope used_by: lmodel2
  • column: hypvol description: If the other model contains a noise component, the value of the hypervolume parameter. Otherwise NA. used_by: Mclust
  • column: independence description: Whether the model assumed dyadic independence used_by: ergm
  • column: isConv description: whether the fit successfully converged used_by: nls
  • column: iter description: Iterations of algorithm/fitting procedure completed. used_by:
• cch
• kmeans
• survreg
  • column: iterations description: The number of iterations performed before convergence used_by: ergm
  • column: kHKB description: modified HKB estimate of the ridge constant used_by: ridgelm
  • column: kLW description: modified L-W estimate of the ridge constant used_by: ridgelm
  • column: lambda description: choice of lambda corresponding to spar used_by: smooth.spline
  • column: lambda.1se description: The value of the penalization parameter lambda that results in the sparsest model while remaining within one standard error of the minimum loss. used_by: cv.glmnet
  • column: lambda.min description: The value of the penalization parameter lambda that achieved minimum loss as estimated by cross validation. used_by: cv.glmnet
  • column: lambdaGCV description: choice of lambda that minimizes GCV used_by: ridgelm
  • column: logLik description: The log-likelihood of the model. [stats::logLik()] may be a useful reference. used_by:
• Arima
• betareg
• ergm
• fitdistr
• gam
• Gam
• garch
• glm
• lm
• Mclust
• mjoint
• nlrq
• nls
• poLCA
• rlm
• rq
• speedlm
• survreg
  • column: max.hazard description: Maximal estimated hazard used_by: muhaz
  • column: max.time description: The maximum observed event or censoring time used_by: muhaz
  • column: maxit description: Number of iterations performed. used_by: binDesign
  • column: MCMC.burnin description: The burn-in period of the MCMC estimation used_by: ergm
  • column: MCMC.interval description: The interval used during MCMC estimation used_by: ergm
  • column: MCMC.samplesize description: The sample size used during MCMC estimation used_by: ergm
  • column: median description: median survival used_by: survfit
  • column: method description: Needs custom info. used_by:
• factanal
• garch
  • column: min.harzard description: Minimal estimated hazard used_by: muhaz
  • column: min.time description: The minimum observed event or censoring time used_by: muhaz
  • column: missing_method description: Method for eliminating missing data. used_by: lavaan
  • column: model description: A character string denoting the model at which the optimal BIC occurs used_by: Mclust
  • column: n description: Needs custom info. used_by:
• binDesign
• cch
• factanal
• fitdistr
• Mclust
  • column: n.factors description: The number of fitted factors used_by: factanal
  • column: n.max description: Maximum number of subjects at risk. used_by:
• survexp
• survfit
  • column: n.start description: Initial number of subjects at risk. used_by:
• survexp
• survfit
  • column: nevent description: number of events used_by: cch
  • column: nexcluded description: Number of excluded observations used_by: lavaan
  • column: ngroups description: Number of groups in model used_by: lavaan
  • column: nobs description: Number of observations used. used_by:
• lavaan
• muhaz
  • column: norig description: Number of observation in the original dataset used_by: lavaan
  • column: npar description: Number of parameters in the model used_by: lavaan
  • column: npasses description: total passes over the data across all lambda values used_by: glmnet
  • column: null.deviance description: Deviance of the null model. used_by:
• ergm
• glm
• glmRob
  • column: nulldev description: null deviance used_by: glmnet
  • column: number.interaction description: Number of interactions used_by: orcutt
  • column: offtable description: total number of person-years off table used_by: pyears
  • column: p.value description: Needs custom info. used_by:
• aareg
• cch
• factanal
• felm
• garch
• gmm
• ivreg
• ivreg
• lm
• lmodel2
• plm
• speedlm
• survdiff
• survreg
  • column: p.value.original description: P-value of original Durbin-Watson statistic used_by: orcutt
  • column: p.value.Sargan description: P-value for Sargan test. used_by:
• ivreg
  • column: p.value.transformed description: P-value of autocorrelation after transformation used_by: orcutt
  • column: p.value.weakinst description: P-value for weak instruments test. used_by:
• ivreg
  • column: p.value.Wu.Hausman description: P-value for Wu-Hausman test. used_by:
• ivreg
  • column: parameter description: Parameter field in the htest, typically degrees of freedom used_by: garch
  • column: pen.crit description: penalized criterion used_by: smooth.spline
  • column: power description: Power achieved by the analysis. used_by: binDesign
  • column: power.reached description: Whether the desired power was reached. used_by: binDesign
  • column: r.squared description: R squared statistic, or the percent of variation explained by the model. Also known as the coefficient of determination. used_by:
• biglm
• felm
• ivreg
• ivreg
• lm
• lmodel2
• lmRob
• orcutt
• plm
• speedlm
  • column: records description: number of observations used_by: survfit
  • column: residual.deviance description: The residual deviance of the model used_by: ergm
  • column: rho description: Spearman's rho autocorrelation used_by: orcutt
  • column: rmean description: Restricted mean (see [survival::print.survfit()]). used_by: survfit
  • column: rmean.std.error description: Restricted mean standard error used_by: survfit
  • column: rmsea description: Root mean square error of approximation used_by: lavaan
  • column: rmsea.conf.high description: 95 percent upper bound on RMSEA used_by: lavaan
  • column: rscore description: rscore used_by: cch
  • column: score description: score used_by: cch
  • column: sigma description: Estimated standard error of the residuals. used_by:
• Arima
• felm
• ivreg
• lm
• lmRob
• nls
• rlm
  • column: sigma2_j description: the square root of the estimated residual variance for the j-th longitudinal process used_by: mjoint
  • column: spar description: smoothing parameter used_by: smooth.spline
  • column: srmr description: Standardised root mean residual used_by: lavaan
  • column: statistic description: Needs custom info. used_by:
• aareg
• factanal
• felm
• garch
• gmm
• ivreg
• ivreg
• lm
• plm
• speedlm
• survdiff
• survreg
  • column: statistic.Sargan description: Statistic for Sargan test. used_by:
• ivreg
  • column: statistic.weakinst description: Statistic for Wu-Hausman test. used_by:
• ivreg
  • column: statistic.Wu.Hausman description: Statistic for Wu-Hausman test. used_by:

• ivreg

  • column: tau description: Quantile. used_by:

  • nlrq

  • rq

• column: theta description: Angle between OLS lines lm(y ~ x) and lm(x ~ y) used_by: lmodel2
• column: timepoints description: number of timepoints used_by: survexp
• column: tli description: Tucker Lewis index used_by: lavaan
• column: tot.withinss description: The total within-cluster sum of squares used_by: kmeans
• column: total description: total number of person-years tabulated used_by: pyears
• column: total.variance description: Total cumulative proportion of variance accounted for by all factors used_by: factanal
• column: totss description: The total sum of squares used_by: kmeans
• column: value description: minimized or maximized output value used_by: glance_optim

[alexpghayes]

Some redundancies / conflicts

• aic / AIC
• bic / BIC
• chisq / chi.squared
• converged / convergence / isConv / finTol
• df / df.null / df.residual / edf
• iter / iterations / maxit
• null.deviance / nulldev
• sigma / srmr

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