4,096 observations of
inductance plethysmography data regularly sampled at 50Hz starting at 1229.98 seconds.

datasets

This package carries out level-dependent cross-validation
        method for the selection of thresholding value in wavelet
        shrinkage. This procedure is implemented by coupling a
        conventional cross validation with an imputation method due to
        a limitation of data length, a power of 2. It can be easily
        applied to classical leave-one-out and k-fold cross validation.
        Since the procedure is computationally fast, a level-dependent
        cross validation can be performed for wavelet shrinkage of
        various data such as a data with correlated errors.

Donghoh Kim

CVThresh

Level-Dependent Cross-Validation Thresholding

ipd function

format

This data set contains 4,096 observations of
inductance plethysmography data regularly sampled at 50Hz starting at 1229.98 seconds. The data
were collected in an investigation of the recovery of patients after general anesthesia.

The data set was used in Nason (1996) to illustrate cross-validation method for threshold selection. 
See the reference; Nason, G.P. (1996) Wavelet shrinkage by cross-validation. <em>Journal of the Royal Statistical
Society Ser. B</em> <b>58</b>, 463--479.

ipd: Inductance plethysmography data

Description

Usage

Arguments

format

source