Canonical |
Reproducing kernels for the I-prior package |
datfbm |
Simulated data to illustrate one-dimensional smoothing |
deviance |
Obtain the log-likelihood and deviance of an 'ipriorMod' or 'ipriorKernel' object |
deviance.ipriorKernel |
Obtain the log-likelihood and deviance of an 'ipriorMod' or 'ipriorKernel' object |
deviance.ipriorMod |
Obtain the log-likelihood and deviance of an 'ipriorMod' or 'ipriorKernel' object |
FBM |
Reproducing kernels for the I-prior package |
fbmOptim |
Find the Hurst coefficient of a FBM I-prior model |
fnH1 |
Reproducing kernels for the I-prior package |
fnH2 |
Reproducing kernels for the I-prior package |
fnH3 |
Reproducing kernels for the I-prior package |
Hlam |
Extract the scaled kernel matrix |
Hlam.ipriorKernel |
Extract the scaled kernel matrix |
Hlam.ipriorMod |
Extract the scaled kernel matrix |
hsb |
High school and beyond dataset |
hsbsmall |
High school and beyond dataset |
iprior |
Fit an I-prior regression model |
iprior.default |
Fit an I-prior regression model |
iprior.formula |
Fit an I-prior regression model |
iprior.ipriorKernel |
Fit an I-prior regression model |
iprior.ipriorMod |
Fit an I-prior regression model |
ipriorColPal |
Colour palette for 'iprior' plots |
ipriorOptim |
Estimate an I-prior model using a combination of EM algorithm and direct optimisation |
kernel |
Reproducing kernels for the I-prior package |
kernL |
Load the kernel matrices of an I-prior model |
kernL.formula |
Load the kernel matrices of an I-prior model |
logLik |
Obtain the log-likelihood and deviance of an 'ipriorMod' or 'ipriorKernel' object |
logLik.ipriorKernel |
Obtain the log-likelihood and deviance of an 'ipriorMod' or 'ipriorKernel' object |
logLik.ipriorMod |
Obtain the log-likelihood and deviance of an 'ipriorMod' or 'ipriorKernel' object |
Pearson |
Reproducing kernels for the I-prior package |
plot |
Plots for 'ipriorMod' objects |
plot.ipriorMod |
Plots for 'ipriorMod' objects |
pollution |
Air pollution and mortality |
predict |
Predict for I-prior models. |
predict.ipriorMod |
Predict for I-prior models. |
progress |
EM algorithm progression results for fitted 'ipriorMod' objects |
sigma |
Obtain the standard deviation of the residuals 'sigma' |
sigma.ipriorMod |
Obtain the standard deviation of the residuals 'sigma' |
simdat |
Random slopes model simulated data |
slope |
Recover the betas (slopes) of the regression curves |
vary |
Extract the variance of the responses |