canadian_temperature_daily
|
Canadian average annual temperature |
checkData()
|
Check the input data and return a list in the right list format |
denoisr
|
denoisr: A package for the smoothing of a set of curves. |
estimate_H0()
|
Perform an estimation of \(H_0\) |
estimate_H0_deriv()
|
Perform an estimation of \(H_0\) when the curves are derivables |
estimate_H0_deriv_list()
|
Perform an estimation of \(H_0\) given a list of \(t_0\) when the curves
are derivable |
estimate_H0_list()
|
Perform an estimation of \(H_0\) given a list of \(t_0\) |
estimate_L0()
|
Perform an estimation of \(L_0\) |
estimate_L0_list()
|
Perform the estimation of \(L_0\) given a list of \(t_0\) |
estimate_b()
|
Perform an estimation of the bandwidth for the smoothing of curves. |
estimate_b_cv()
|
Perform an estimation of the bandwidth using least-squares cross validation |
estimate_b_list()
|
Perform an estimation of the bandwidth given a list of \(H_0\) and \(L_0\)
for the smoothing of curves. |
estimate_bandwidth()
|
Perform an estimation of the bandwidth |
estimate_curve()
|
Perform the smoothing of individual curve. |
estimate_int_risk()
|
Perform an estimation of the risk on one curve along the sampling points. |
estimate_k0()
|
Perform the estimation of the recommended \(k_0\) |
estimate_k0_oracle()
|
Perform the estimation of the oracle \(k_0\) |
estimate_k0_pilot()
|
Perform the estimation of the pilot \(k_0\) |
estimate_risk()
|
Perform an estimation of the risk on a set of curves at a particular point. |
estimate_risks()
|
Perform an estimation of the risk on a set of curves along the sampling points. |
estimate_sigma()
|
Perform an estimation of the standard deviation of the noise |
estimate_sigma_list()
|
Perform an estimation of the noise given a list of \(t_0\). |
fractional_brownian_trajectory()
|
Generate fractional Brownian motion with a random noise |
funData2list()
|
Convert funData objects into right format for this package |
generate_fractional_brownian()
|
Generate a list of fractional Brownian trajectory. |
generate_integrate_fractional_brownian()
|
Generate a list of integrate fractional Brownian trajectory. |
generate_piecewise_fractional_brownian()
|
Generate a list of piecewise fractional Brownian trajectory. |
integrate_fractional_brownian_trajectory()
|
Generate integrate fractional Brownian motion with a random noise |
irregFunData2list()
|
Convert irregFunData objects into right format for this package |
kernel()
|
Compute different kernels |
list2funData()
|
Convert comprehensive lists into funData::funData objects. |
list2irregFunData()
|
Convert comprehensive lists into funData::irregFunData objects. |
lseq()
|
Generate logarithmic spaced sequence |
multiFunData2list()
|
Convert multiFunData objects into right format for this package |
piecewise_fractional_brownian_trajectory()
|
Generate piecewise fractional Brownian motion with a random noise |
smooth_curves()
|
Perform a non-parametric smoothing of a set of curves |
smooth_curves_regularity()
|
Perform a non-parametric smoothing of a set of curves when the regularity is
larger than 1 |