all_hmd_female_data | The US female log-mortality rate from 1959-2020 and 3 states... |
all_hmd_male_data | The US male log-mortality rate from 1959-2020 and 3 states... |
centre | Mean function, variance function, median function, trim mean... |
CoDa_BayesNW | Compositional data analytic approach and nonparametric... |
CoDa_FPCA | Compositional data analytic approach and functional principal... |
diff.fts | Differences of a functional time series |
DJI_return | Dow Jones Industrial Average (DJIA) |
dmfpca | Dynamic multilevel functional principal component analysis |
dynamic_FLR | Dynamic updates via functional linear regression |
dynupdate | Dynamic updates via BM, OLS, RR and PLS methods |
ER_GR | Selection of the number of principal components |
error | Forecast error measure |
extract | Extract variables or observations |
facf | Functional autocorrelation function |
FANOVA | Functional analysis of variance fitted by means. |
farforecast | Functional data forecasting through functional principal... |
fbootstrap | Bootstrap independent and identically distributed functional... |
forecastfplsr | Forecast functional time series |
forecast.ftsm | Forecast functional time series |
forecast.hdfpca | Forecasting via a high-dimensional functional principal... |
fplsr | Functional partial least squares regression |
ftsa-package | Functional Time Series Analysis |
ftsm | Fit functional time series model |
ftsmiterativeforecasts | Forecast functional time series |
ftsmweightselect | Selection of the weight parameter used in the weighted... |
GAEVforecast | Fit a generalized additive extreme value model to the... |
hd_data | Simulated high-dimensional functional time series |
hdfpca | High-dimensional functional principal component analysis |
Horta_Ziegelmann_FPCA | Dynamic functional principal component analysis for density... |
isfe.fts | Integrated Squared Forecast Error for models of various... |
is.fts | Test for functional time series |
long_run_covariance_estimation | Estimating long-run covariance function for a functional time... |
LQDT_FPCA | Log quantile density transform |
MAF_multivariate | Maximum autocorrelation factors |
mean.fts | Mean functions for functional time series |
median.fts | Median functions for functional time series |
MFDM | Multilevel functional data method |
MFPCA | Multilevel functional principal component analysis for... |
mftsc | Multiple funtional time series clustering |
One_way_median_polish | One-way functional median polish from Sun and Genton (2012) |
One_way_Residuals | Functional time series decomposition into deterministic (from... |
pcscorebootstrapdata | Bootstrap independent and identically distributed functional... |
plot.fm | Plot fitted model components for a functional model |
plot.fmres | Plot residuals from a fitted functional model. |
plotfplsr | Plot fitted model components for a functional time series... |
plot.ftsf | Plot fitted model components for a functional time series... |
plot.ftsm | Plot fitted model components for a functional time series... |
pm_10_GR | Particulate Matter Concentrations (pm10) |
quantile | Quantile |
quantile.fts | Quantile functions for functional time series |
residuals.fm | Compute residuals from a functional model |
sd | Standard deviation |
sd.fts | Standard deviation functions for functional time series |
sim_ex_cluster | Simulated multiple sets of functional time series |
skew_t_fun | Skewed t distribution |
stop_time_detect | Detection of the optimal stopping time in a curve time series |
stop_time_sim_data | Simulated functional time series from a functional... |
summary.fm | Summary for functional time series model |
T_stationary | Testing stationarity of functional time series |
Two_way_median_polish | Two-way functional median polish from Sun and Genton (2012) |
Two_way_Residuals | Functional time series decomposition into deterministic (from... |
Two_way_Residuals_means | Functional time series decomposition into deterministic... |
var | Variance |
var.fts | Variance functions for functional time series |
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