irt.c File Reference

A command line program to estimate items and abilities in a IRT model. More...

#include <libirt.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <getopt.h>

Functions
int	parse_arg (int argc, char *argv[])
	Parse the options and arguments of the program.
int	main (int argc, char *argv[])
	The main function of the program.

Variables
struct option	long_options []
	The command line options.
char *	file_name
	The file name.
int	nbr_item
	The number of item.
int	nbr_subject
	The number of subject.
int	skip
	The number of line to skip.
int	offset
	The number of character or field to skip.
int	extra
	The number of character or field between items.
int	delimited
	Enable the use of delimited format file.
char	delimiter
	The delimiter.
char *	true_string
	The string representing a success.
char *	false_string
	The string representing a failure.
char *	blank_string
	The string representing a non response.
int	nbr_quad
	The number of quadrature class.
double	quad_from
	The first class middle point.
double	quad_to
	The last class middle point.
int	model
	The model to use.
int	slope_prior
	Enable the use of a prior on the slope.
int	thresh_prior
	Enable the use of a prior on the threshold.
int	asymp_prior
	Enable the use of a prior on the asymptote.
double	slope_mean
	The mean of the prior on the slope.
double	slope_dev
	The standard deviation of the prior on the slope.
double	thresh_mean
	The mean of the prior on the threshold.
double	thresh_dev
	The standard deviation of the prior on the threshold.
double	asymp_mean
	The mean of the prior on the asymptote.
double	asymp_weight
	The weight of the prior on the asymptote.
double	slope_init
	The initial value of the slope.
double	thresh_init
	The initial value of the threshold.
double	asymp_init
	The initial value of the asymptote.
int	max_em_iter
	The maximum number of EM iteration.
int	max_nr_iter
	The maximum number of newton iteration.
double	precision
	The precision.
int	grouping
	Enable the grouping of identical patterns.
int	verbose
	The verbosity level.
int	ability
	Enable the estimation of the abilities.
int	ability_prior
	Enable the use of EAP to estimate the abilities.
int	trimming
	Enable the trimming of spaces in the fields (when delimited).
int	penalized
	Enable the use of penalized maximum marginal likelihood.
int	kernel
	Enable the use of kernel estimators.
double	smooth_factor
	The smooth factor if PMMLE or kernel is used.
int	response_functions
	Enable the display of the response functions instead of the parameters.

Detailed Description

A command line program to estimate items and abilities in a IRT model.

Author

Stephane Germain germs.nosp@m.te@g.nosp@m.mail..nosp@m.com

Function Documentation

int parse_arg	(	int	argc,
		char *	argv[]
	)

Parse the options and arguments of the program.

Also set the defaults values.

Returns

1 for success and 0 for failure.

int main	(	int	argc,
		char *	argv[]
	)

The main function of the program.

Variable Documentation

struct option long_options[]

The command line options.

To be used by getopt_long.

char* file_name

The file name.

int nbr_item

The number of item.

int nbr_subject

The number of subject.

int skip

The number of line to skip.

int offset

The number of character or field to skip.

int extra

The number of character or field between items.

int delimited

Enable the use of delimited format file.

char delimiter

The delimiter.

char* true_string

The string representing a success.

char* false_string

The string representing a failure.

char* blank_string

The string representing a non response.

int nbr_quad

The number of quadrature class.

double quad_from

The first class middle point.

double quad_to

The last class middle point.

int model

The model to use.

int slope_prior

Enable the use of a prior on the slope.

int thresh_prior

Enable the use of a prior on the threshold.

int asymp_prior

Enable the use of a prior on the asymptote.

double slope_mean

The mean of the prior on the slope.

double slope_dev

The standard deviation of the prior on the slope.

double thresh_mean

The mean of the prior on the threshold.

double thresh_dev

The standard deviation of the prior on the threshold.

double asymp_mean

The mean of the prior on the asymptote.

double asymp_weight

The weight of the prior on the asymptote.

double slope_init

The initial value of the slope.

double thresh_init

The initial value of the threshold.

double asymp_init

The initial value of the asymptote.

int max_em_iter

The maximum number of EM iteration.

int max_nr_iter

The maximum number of newton iteration.

double precision

The precision.

int grouping

Enable the grouping of identical patterns.

int verbose

The verbosity level.

int ability

Enable the estimation of the abilities.

int ability_prior

Enable the use of EAP to estimate the abilities.

int trimming

Enable the trimming of spaces in the fields (when delimited).

int penalized

Enable the use of penalized maximum marginal likelihood.

int kernel

Enable the use of kernel estimators.

double smooth_factor

The smooth factor if PMMLE or kernel is used.

int response_functions

Enable the display of the response functions instead of the parameters.