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 |
Parent topic: Statistics
Related reference
- Clustering
- Computations Related to Plotting (Statistics)
- Curve (and Surface) Smoothing
- Designed Experiments
- Loess Objects
- Multivariate Techniques
- Non-Linear Regression
- Nonparametric Statistics
- Probability Distributions and Random Numbers
- Regression
- Regression and Classification Trees
- Robust and Resistant Techniques
- Simple Univariate Statistics
- Statistical Inference
- Time Series