B C D F G H I M N O P R S T V W
basis.nom | Nominal Smoothing Spline Basis and Penalty |
basis.ord | Ordinal Smoothing Spline Basis and Penalty |
basis.poly | Polynomial Smoothing Spline Basis and Penalty |
basis.sph | Spherical Spline Basis and Penalty |
basis.tps | Thin Plate Spline Basis and Penalty |
basis_nom | Nominal Smoothing Spline Basis and Penalty |
basis_ord | Ordinal Smoothing Spline Basis and Penalty |
basis_poly | Polynomial Smoothing Spline Basis and Penalty |
basis_sph | Spherical Spline Basis and Penalty |
basis_tps | Thin Plate Spline Basis and Penalty |
bin.sample | Bin Sample a Vector, Matrix, or Data Frame |
boot | Bootstrap a Fit Smooth |
boot.gsm | Bootstrap a Fit Smooth |
boot.sm | Bootstrap a Fit Smooth |
boot.ss | Bootstrap a Fit Smooth |
coef.gsm | Extract Smooth Model Coefficients |
coef.sm | Extract Smooth Model Coefficients |
coef.ss | Extract Smooth Model Coefficients |
color.legend | Adds Color Legend to Plot Margin |
cooks.distance.gsm | Nonparametric Regression Deletion Diagnostics |
cooks.distance.sm | Nonparametric Regression Deletion Diagnostics |
cooks.distance.ss | Nonparametric Regression Deletion Diagnostics |
cov.ratio | Nonparametric Regression Deletion Diagnostics |
deviance.gsm | Smooth Model Deviance |
deviance.sm | Smooth Model Deviance |
deviance.ss | Smooth Model Deviance |
dfbeta.gsm | Nonparametric Regression Deletion Diagnostics |
dfbeta.sm | Nonparametric Regression Deletion Diagnostics |
dfbeta.ss | Nonparametric Regression Deletion Diagnostics |
dfbetas.gsm | Nonparametric Regression Deletion Diagnostics |
dfbetas.sm | Nonparametric Regression Deletion Diagnostics |
dfbetas.ss | Nonparametric Regression Deletion Diagnostics |
diagnostic.plots | Plot Nonparametric Regression Diagnostics |
family.gsm | Fit a Generalized Smooth Model |
fitted.gsm | Extract Smooth Model Fitted Values |
fitted.sm | Extract Smooth Model Fitted Values |
fitted.ss | Extract Smooth Model Fitted Values |
gsm | Fit a Generalized Smooth Model |
hatvalues.gsm | Nonparametric Regression Deletion Diagnostics |
hatvalues.sm | Nonparametric Regression Deletion Diagnostics |
hatvalues.ss | Nonparametric Regression Deletion Diagnostics |
influence.gsm | Nonparametric Regression Diagnostics |
influence.sm | Nonparametric Regression Diagnostics |
influence.ss | Nonparametric Regression Diagnostics |
model.matrix.gsm | Construct Design Matrix for Fit Model |
model.matrix.sm | Construct Design Matrix for Fit Model |
model.matrix.ss | Construct Design Matrix for Fit Model |
msqrt | Matrix (Inverse?) Square Root |
NegBin | Family Function for Negative Binomial |
nominal | Nominal Smoothing Spline Basis and Penalty |
npregStartupMessage | Startup Message for npreg |
number2color | Map Numbers to Colors |
ordinal | Ordinal Smoothing Spline Basis and Penalty |
penalty.nom | Nominal Smoothing Spline Basis and Penalty |
penalty.ord | Ordinal Smoothing Spline Basis and Penalty |
penalty.poly | Polynomial Smoothing Spline Basis and Penalty |
penalty.sph | Spherical Spline Basis and Penalty |
penalty.tps | Thin Plate Spline Basis and Penalty |
penalty_nom | Nominal Smoothing Spline Basis and Penalty |
penalty_ord | Ordinal Smoothing Spline Basis and Penalty |
penalty_poly | Polynomial Smoothing Spline Basis and Penalty |
penalty_sph | Spherical Spline Basis and Penalty |
penalty_tps | Thin Plate Spline Basis and Penalty |
plot.boot.ss | Plot method for Smoothing Spline Fit and Bootstrap |
plot.gsm | Plot Effects for Generalized Smooth Model Fits |
plot.sm | Plot Effects for Smooth Model Fits |
plot.ss | Plot method for Smoothing Spline Fit and Bootstrap |
plotci | Generic X-Y Plotting with Confidence Intervals |
polynomial | Polynomial Smoothing Spline Basis and Penalty |
predict.gsm | Predict method for Generalized Smooth Model Fits |
predict.sm | Predict method for Smooth Model Fits |
predict.ss | Predict method for Smoothing Spline Fits |
print.summary.gsm | Summary methods for Fit Models |
print.summary.sm | Summary methods for Fit Models |
print.summary.ss | Summary methods for Fit Models |
psolve | Pseudo-Solve a System of Equations |
residuals.gsm | Extract Model Residuals |
residuals.sm | Extract Model Residuals |
residuals.ss | Extract Model Residuals |
rstandard.gsm | Nonparametric Regression Deletion Diagnostics |
rstandard.sm | Nonparametric Regression Deletion Diagnostics |
rstandard.ss | Nonparametric Regression Deletion Diagnostics |
rstudent.gsm | Nonparametric Regression Deletion Diagnostics |
rstudent.sm | Nonparametric Regression Deletion Diagnostics |
rstudent.ss | Nonparametric Regression Deletion Diagnostics |
sm | Fit a Smooth Model |
smooth.influence | Nonparametric Regression Diagnostics |
smooth.influence.measures | Nonparametric Regression Deletion Diagnostics |
spherical | Spherical Spline Basis and Penalty |
ss | Fit a Smoothing Spline |
StartupMessage | Startup Message for npreg |
summary | Summary methods for Fit Models |
summary.gsm | Summary methods for Fit Models |
summary.sm | Summary methods for Fit Models |
summary.ss | Summary methods for Fit Models |
theta.mle | MLE of Theta for Negative Binomial |
thinplate | Thin Plate Spline Basis and Penalty |
varimp | Variable Importance Indices |
varinf | Variance Inflation Factors |
vcov.gsm | Calculate Variance-Covariance Matrix for a Fitted Smooth Model |
vcov.sm | Calculate Variance-Covariance Matrix for a Fitted Smooth Model |
vcov.ss | Calculate Variance-Covariance Matrix for a Fitted Smooth Model |
weights.gsm | Extract Smooth Model Weights |
weights.sm | Extract Smooth Model Weights |
weights.ss | Extract Smooth Model Weights |
wtd.mean | Weighted Arithmetic Mean |
wtd.quantile | Weighted Quantiles |
wtd.sd | Weighted Variance and Standard Deviation |
wtd.var | Weighted Variance and Standard Deviation |