Function reference • ffscb

All functions

Biomechanics: Biomechanics Data (Biomechanics_Data)

Data2bifd(): Creates a bifd object from a matrix.

Fragments: Spinal bone mineral density measurements (Fragments)

confidence_band(): Makes confidence bands

confidence_band_fragm(): Makes confidence bands for fragmentary functional data

cov2tau_fun(): This function computes the estimate of the roughness parameter function tau(t) using the covariance function (given as a matrix) of the functional data.

cov_fragments(): Estimate covariance function from fragmentary functional data

covf_nonst_matern(): Modified Matern Covariance Function (varying roughness parameter)

covf_st_matern(): Matern Covariance Function

eigen.fd(): Takes eigen decomposition of bifd covariance object.

ffscb: ffscb

get_pval_Ec(): p-value (ellipsoid region)

get_pvalue_FFSCB_t(): FFSCB p-value (t-distr)

get_pvalue_FFSCB_z(): FFSCB p-value (Gaussian)

locate_crossings(): Locate crossings

make_band_FFSCB_t(): Fast 'n' fair simultaneous confidence band (t-distr)

make_band_FFSCB_z(): Fast 'n' fair simultaneous confidence band (Gaussian)

make_cov_m(): Make discretized covariance function

make_fragm_sample(): Make sample (for simulation)

make_grid(): Make grid

make_sample(): Make sample (for simulation)

meanf_bump(): Meanfunction with local bump

meanf_ellipse(): Meanfunction with local ellipse

meanf_localshift(): Meanfunction with local peak (polynomial with simple local peak)

meanf_peak(): Meanfunction with local peak

meanf_poly(): Meanfunction (polynomial)

meanf_rect(): Meanfunction with local rectangles (polynomial with simple local rectangles)

meanf_scale(): Meanfunction (polynomial with simple scaling)

meanf_shift(): Meanfunction (polynomial with simple shifting)

n_ts(): Count number of observations in X_i(t)*X_i(s), i=1...,n, with fragmentary functional data X_i

plot(<confidence_band>): Visualizes confidence bands constructed from confidence_band.

tau_fragments(): R-function for computing tau from fragmentary functional data. Caution: only one single fragment per function is assumed.

tau_fun(): This function computes the estimate of the roughness parameter function tau(t) using the pointwise standard deviation of the standardized and differentiated sample functions.