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 |