R: Kernel Semi-Parametric Models

# Kernel Semi-Parametric Models

## Documentation for package ‘KSPM’ version 0.2.1

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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