Statistical Models

These are the available functions for statistical models. See each function's help topic in the TERR Language Reference for more information.


Function name	Title description
`add.scope`	Resolve Scopes for Formulas
`add1`	Compute Models by Adding One Term
`add1.default`	Compute Models by Adding One Term
`AIC`	Akaike's Information Criterion
`anova`	Anova Tables
`anova.glm`	Analysis of Deviance for Generalized Linear Model Fits
`anova.glmlist`	Analysis of Deviance for Generalized Linear Model Fits
`aov`	Fit an Analysis of Variance Model
`ar`	Fit Autoregressive Models to Time Series
`ar.yw`	Fit Autoregressive Models to Time Series
`as.data.frame.array`	Construct a Data Frame Object from an S object
`as.data.frame.character`	Construct a Data Frame Object from an S object
`as.data.frame.complex`	Construct a Data Frame Object from an S object
`as.data.frame.data.frame`	Construct a Data Frame Object from an S object
`as.data.frame.Date`	Construct a Data Frame Object from an S object
`as.data.frame.default`	Construct a Data Frame Object from an S object
`as.data.frame.difftime`	Construct a Data Frame Object from an S object
`as.data.frame.factor`	Construct a Data Frame Object from an S object
`as.data.frame.integer`	Construct a Data Frame Object from an S object
`as.data.frame.list`	Construct a Data Frame Object from an S object
`as.data.frame.logical`	Construct a Data Frame Object from an S object
`as.data.frame.matrix`	Construct a Data Frame Object from an S object
`as.data.frame.model.matrix`	Construct a Data Frame Object from an S object
`as.data.frame.numeric`	Construct a Data Frame Object from an S object
`as.data.frame.ordered`	Construct a Data Frame Object from an S object
`as.data.frame.POSIXct`	Construct a Data Frame Object from an S object
`as.data.frame.POSIXlt`	Construct a Data Frame Object from an S object
`as.data.frame.raw`	Construct a Data Frame Object from an S object
`as.data.frame.table`	Construct a Data Frame Object from an S object
`as.data.frame.ts`	Construct a Data Frame Object from an S object
`as.data.frame.vector`	Construct a Data Frame Object from an S object
`as.terms`	Create or Extract a Terms Object
`as.vector.factor`	Coerce a Factor Object into a Vector of a Given Mode
`AsIs`	Inhibit Interpretation/Conversion of Objects
`asOneSidedFormula`	Convert to One-Sided Formula
`BIC`	Akaike's Information Criterion
`cmdscale`	Classical Metric Multi-Dimensional Scaling
`coef`	Extract Information from a Model
`coef.default`	Extract Information from a Model
`coef.listof`	Extract Information from a Model
`coefficients`	Extract Information from a Model
`confint`	Confidence Intervals for Model Parameters
`confint.default`	Confidence Intervals for Model Parameters
`drop.scope`	Resolve Scopes for Formulas
`drop1`	Investigate models by dropping single terms
`drop1.default`	Investigate models by dropping single terms
`drop1.glm`	Investigate models by dropping single terms
`drop1.lm`	Investigate models by dropping single terms
`dummy.coef`	Extract Original Coefficients from a Linear Model
`dummy.coef.aovlist`	Extract Original Coefficients from a Linear Model
`dummy.coef.lm`	Extract Original Coefficients from a Linear Model
`effects`	Single Degree-of-freedom Effects from a Fitted Model
`effects.glm`	Single Degree-of-freedom Effects from a Fitted Model
`effects.lm`	Single Degree-of-freedom Effects from a Fitted Model
`estVar`	SSD Matrix and Estimated Variance Matrix in Multivariate Models
`estVar.mlm`	SSD Matrix and Estimated Variance Matrix in Multivariate Models
`estVar.SSD`	SSD Matrix and Estimated Variance Matrix in Multivariate Models
`expand.model.frame`	Add New Variables to a Model Frame
`extractAIC`	Extract AIC from a Fitted Model
`extractAIC.glm`	Extract AIC from a Fitted Model
`extractAIC.lm`	Extract AIC from a Fitted Model
`factanal`	Estimate a Factor Analysis Model
`factor.scope`	Resolve Scopes for Formulas
`fitted`	Extract Information from a Model
`fitted.default`	Extract Information from a Model
`fitted.values`	Extract Information from a Model
`get_all_vars`	Construct or Extract a Model Frame
`getCall`	Update a Fitted Model Object
`glm`	Fit a Generalized Linear Model
`I`	Inhibit Interpretation/Conversion of Objects
`is.empty.model`	Does a Model Contain any Predictors
`lm`	Fit Linear Regression Model
`logLik`	Extract Log-Likelihood
`logLik.lm`	Extract Log-Likelihood
`logLik.nls`	Extract Log-Likelihood
`loglin`	Contingency Table Analysis
`lsfit`	Linear Least-Squares Fit
`make.link`	Create a Link for GLM Families
`makepredictcall`	Utility Function for Safe Prediction
`makepredictcall.default`	Utility Function for Safe Prediction
`makepredictcall.matrix`	Utility Function for Safe Prediction
`makepredictcall.poly`	Utility Function for Safe Prediction
`model.extract`	Extract Special Information from Model Frame
`model.frame`	Construct or Extract a Model Frame
`model.frame.aovlist`	Construct or Extract a Model Frame
`model.frame.default`	Construct or Extract a Model Frame
`model.frame.lm`	Construct or Extract a Model Frame
`model.matrix`	Matrix of Predictors
`model.matrix.default`	Matrix of Predictors
`model.matrix.object`	Matrix of Predictors
`model.offset`	Extract Special Information from Model Frame
`model.response`	Extract Special Information from Model Frame
`model.weights`	Extract Special Information from Model Frame
`nobs`	Extract the Number of Observations from a Fit
`nobs.default`	Extract the Number of Observations from a Fit
`nobs.glm`	Extract the Number of Observations from a Fit
`nobs.lm`	Extract the Number of Observations from a Fit
`nobs.nls`	Extract the Number of Observations from a Fit
`numericDeriv`	Evaluate derivatives numerically
`offset`	Set an Offset Value in a Modeling Formula
`power`	Generate a Power Link Object
`predict`	Make Predictions from a Fitted Model Object
`predict.ar`	Fit Autoregressive Models to Time Series
`predict.glm`	Predict Method for a Generalized Linear Model
`predict.lm`	Predict Method for a Linear Model
`predict.mlm`	Predict Method for a Linear Model
`predict.nls`	Predicting from Nonlinear Least Squares Fits
`princomp`	Principal Components Analysis
`princomp.default`	Principal Components Analysis
`princomp.formula`	Principal Components Analysis
`print.aov`	Fit an Analysis of Variance Model
`print.aovlist`	Fit an Analysis of Variance Model
`print.ar`	Fit Autoregressive Models to Time Series
`print.dummy_coef`	Extract Original Coefficients from a Linear Model
`print.dummy_coef_list`	Extract Original Coefficients from a Linear Model
`print.factanal`	Estimate a Factor Analysis Model
`print.logLik`	Extract Log-Likelihood
`relevel`	Reorder Levels of Factor
`relevel.default`	Reorder Levels of Factor
`relevel.factor`	Reorder Levels of Factor
`relevel.ordered`	Reorder Levels of Factor
`resid`	Extract Information from a Model
`residuals`	Extract Information from a Model
`residuals.default`	Extract Information from a Model
`residuals.glm`	Compute Residuals for glm Objects
`selfStart`	Construct Self-starting Nonlinear Models
`selfStart.default`	Construct Self-starting Nonlinear Models
`selfStart.formula`	Construct Self-starting Nonlinear Models
`sigma`	Extract Residual Standard Deviation
`SSasymp`	Asymptotic Regression Model
`SSasympOff`	Asymptotic Regression Model
`SSasympOrig`	Asymptotic Regression Model
`SSbiexp`	Biexponential Model: The Sum of Two Exponentials
`SSD`	SSD Matrix and Estimated Variance Matrix in Multivariate Models
`SSD.mlm`	SSD Matrix and Estimated Variance Matrix in Multivariate Models
`SSfol`	First-order Compartment Model
`SSfpl`	Four-parameter Logistic Model
`SSgompertz`	Self-Starting Nls Gompertz Growth Model
`SSlogis`	Fitting a Logistic Curve
`SSmicmen`	Michaelis-Menten Model
`SSweibull`	Self-Starting Nls Weibull Growth Curve Model
`stat.anova`	Add Statistics Columns to an Anova Table
`str.logLik`	Extract Log-Likelihood
`terms`	Create or Extract a Terms Object
`terms.aovlist`	Create or Extract a Terms Object
`terms.default`	Create or Extract a Terms Object
`terms.formula`	Create or Extract a Terms Object
`terms.terms`	Create or Extract a Terms Object
`update`	Update a Fitted Model Object
`update.default`	Update a Fitted Model Object
`update.formula`	Update a Fitted Model Object
`vcov`	Variance-Covariance Matrix of the Estimated Coefficients
`vcov.glm`	Variance-Covariance Matrix of the Estimated Coefficients
`vcov.lm`	Variance-Covariance Matrix of the Estimated Coefficients
`vcov.mlm`	Variance-Covariance Matrix of the Estimated Coefficients
`vcov.nls`	Variance-Covariance Matrix of the Estimated Coefficients
`vcov.summary.glm`	Variance-Covariance Matrix of the Estimated Coefficients
`vcov.summary.lm`	Variance-Covariance Matrix of the Estimated Coefficients