asOneSidedFormula |
some internal methods in computation of kernel semi parametric model |
case.names.kspm |
Case names of fitted models |
check.integer |
some internal methods in computation of kernel semi parametric model |
coef.kspm |
Extract Model Coefficients |
comb |
some internal methods in computation of kernel semi parametric model |
computes.Kernel |
some internal methods in computation of kernel semi parametric model |
computes.Kernel.interaction |
some internal methods in computation of kernel semi parametric model |
computes.KernelALL |
some internal methods in computation of kernel semi parametric model |
confint.kspm |
Confidence interavls for linear part of model parameters |
cooks.distance.kspm |
Cook's distance for a Kernel Semi Parametric Model Fit |
csm |
Conventional and Social media features of 187 movies. |
derivatives |
Computing kernel function derivatives |
deviance.kspm |
Model deviance |
energy |
Energy consumption measuring hourly during 22 days |
extractAIC.kspm |
Extract AIC from a Kernel Semi Parametric Model |
fitted.kspm |
Extract Model Fitted values |
flexible.summary |
Summarizing Kernel Semi parametric Model Fits with flexible parameters for Davies' approximation method |
get.parameters |
compute Kernel Semi Parametric model parameters |
hypercoef |
Extract Model Hyper-parameter |
info.kspm |
Giving information about Kernel Semi parametric Model Fits |
Kernel |
Create a Kernel Object |
kernel.equality |
Kernel Functions |
kernel.function |
Kernel Functions |
kernel.gaussian |
Kernel Functions |
kernel.inverse.quadratic |
Kernel Functions |
kernel.linear |
Kernel Functions |
kernel.list |
List of kernel parts included in the kernel semi parametric model |
kernel.matrix |
Kernel matrix |
kernel.method |
some internal methods in computation of kernel semi parametric model |
kernel.polynomial |
Kernel Functions |
kernel.sigmoid |
Kernel Functions |
kspm |
Fitting Kernel Semi Parametric model |
kspmControl |
Control various aspects of the optimisation problem |
logLik.kspm |
Log Likelihood of a kspm Object |
lossFunction.looe |
Computation of the leave one out error (LOOE) in kernel semi parametric model |
nobs.kspm |
Extract the number of observations from a Kernel Semi parametric Model Fit |
objects.Kernel |
some internal methods in computation of kernel semi parametric model |
plot.derivatives |
Plot derivatives of a kspm object |
plot.kspm |
Plot Diagnostics for a kspm Object |
predict.kspm |
Predicting Kernel Semi parametric Model Fits |
print.kspm |
Print results from a Kernel Semi parametric Model Fit |
print.summary.kspm |
Print results from a Kernel Semi parametric Model Fit |
renames.Kernel |
some internal methods in computation of kernel semi parametric model |
residuals.kspm |
Extract residuals from a Kernel Semi Parametric Model |
rstandard.kspm |
Standardized residuals for Kernel Semi parametric Model Fits |
search.parameters |
Optimisation to cumpute hyperparameter in Kernel Semi Parametric model |
sigma.kspm |
Extract residuals standard deviation |
splitFormula |
some internal methods in computation of kernel semi parametric model |
stepKSPM |
Choose a model by AIC or BIC in a Stepwise Algorithm |
summary.kspm |
Summarizing Kernel Semi parametric Model Fits |
test.1.kernel |
Score Tests for kernel part in kernel semi parametric model |
test.function |
Score Tests for kernel part in kernel semi parametric model |
test.global.kernel |
Score Tests for kernel part in kernel semi parametric model |
test.k.kernel |
Score Tests for kernel part in kernel semi parametric model |
variable.names.kspm |
Variable names of fitted models |