list of bootstrap samples More...

#include <mclist.h>

Inheritance diagram for BootstrapList:

Public Member Functions
	BootstrapList (unsigned int N, unsigned int nprm, unsigned int nblocks, std::vector< double > Cuts)
	set up the list
void	setBCa_t (unsigned int i, double Bias, double Acceleration)
	set bias and acceleration to get BCa confidence intervals
void	setBCa_s (unsigned int i, double Bias, double Acceleration)
	set bias and acceleration to get BCa confidence intervals
void	setData (unsigned int i, const std::vector< int > &newdata)
	store a simulated data set
std::vector< int >	getData (unsigned int i) const
	get a simulated data set at posititon i
double	getThres (double p, unsigned int cut)
	get the p-th percentile associated with the threshold at cut
double	getThres_byPos (unsigned int i, unsigned int cut)
	get the threshold for the i-th sample
void	setThres (double thres, unsigned int i, unsigned int cut)
	set the value of a threshold associated with the threshold at cut
double	getSlope (double p, unsigned int cut)
	get the p-th percentile associated with the slope at the given cut
double	getSlope_byPos (unsigned int i, unsigned int cut)
	get the slope at cut for the i-th sample
void	setSlope (double sl, unsigned int i, unsigned int cut)
	set the value of the slope associated with the threshold at cut
unsigned int	getNblocks (void) const
	get the number of blocks in the underlying dataset
double	getCut (unsigned int i) const
	get the value of cut i
double	getAcc_t (unsigned int i) const
	get the acceleration constant for cut i
double	getBias_t (unsigned int i) const
	get the bias for cut i
double	getAcc_s (unsigned int i) const
	get the acceleration constant for cut i
double	getBias_s (unsigned int i) const
	get the bias for cut i
void	setRpd (unsigned int i, double r_pd)
	set correlation between predicted values and deviance residuals for a simulated dataset
double	getRpd (unsigned int i) const
	get correlation between predicted values and deviance residuals for simulated dataset i
double	percRpd (double p)
	get the p-th percentile of the correlations between predicted values and deviance residuals
void	setRkd (unsigned int i, double r_kd)
	set correlation between block index and deviance residuals for a simulated dataset
double	getRkd (unsigned int i) const
	get correlation between block index and deviance residuals for simulated dataset i
double	percRkd (double p)
	get the p-th percentile of the correlations between block index and deviance residuals

Detailed Description

list of bootstrap samples

Bootstrap samples support some special operations that regular monte carlo samples don't. In particular bootstrap samples from a psychometric function should incorporate information about

The thresholds that are associated with each parameter vector
the bootstrap samples themselves and not only the resulting parameter estimates
correlations of the psychometric function with the bootstrap samples "sequence"

Constructor & Destructor Documentation

BootstrapList::BootstrapList	(	unsigned int	N,
		unsigned int	nprm,
		unsigned int	nblocks,
		std::vector< double >	Cuts
	)			`[inline]`

set up the list

Parameters:

	N	number of samples to be drawn
	nprm	number of parameters in the model
	nblocks	number of blocks in the experiment
	Cuts	performance levels at which thresholds should be determined

Member Function Documentation

void BootstrapList::setBCa_s	(	unsigned int	i,
		double	Bias,
		double	Acceleration
	)			`[inline]`

set bias and acceleration to get BCa confidence intervals

Parameters:

	i	index of the cut for which Bias and Acceleration should be set
	Bias	Bias to be set
	Acceleration	Acceleration to be set

void BootstrapList::setBCa_t	(	unsigned int	i,
		double	Bias,
		double	Acceleration
	)			`[inline]`

set bias and acceleration to get BCa confidence intervals

Parameters:

	i	index of the cut for which Bias and Acceleration should be set
	Bias	Bias to be set
	Acceleration	Acceleration to be set

void BootstrapList::setData	(	unsigned int	i,
		const std::vector< int > &	newdata
	)

store a simulated data set

Parameters:

	i	index of the bootstrap sample to be set
	newdata	response counts in the new bootstrap sample (not proportion correct)

void BootstrapList::setRpd	(	unsigned int	i,
		double	r_pd
	)

set correlation between predicted values and deviance residuals for a simulated dataset

Parameters:

	i	index of the bootstrap sample
	r_pd	new correlation

void BootstrapList::setSlope	(	double	sl,
		unsigned int	i,
		unsigned int	cut
	)

set the value of the slope associated with the threshold at cut

Parameters:

	sl	new value of the slope
	i	index of the bootstrap sample
	cut	index of the desired cut

void BootstrapList::setThres	(	double	thres,
		unsigned int	i,
		unsigned int	cut
	)

set the value of a threshold associated with the threshold at cut

Parameters:

	thres	new value of the threshold
	i	index of the bootstrap sample
	cut	index of the desired cut

The documentation for this class was generated from the following files:

src/mclist.h
src/mclist.cc

BootstrapList Class Reference

Public Member Functions

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation