#include "swig_etirm_types.h"
#include "etirm/EStepDiscrete.h"
#include "Uncmin.h"
#include <vector>
#include <string>
#include <boost/random/uniform_01.hpp>
Go to the source code of this file.
Namespaces | |
| namespace | etirm |
Classes | |
| class | etirm::ItemRespCounts |
| Class to hold counts of number of examinees who responded in each response category of an item. More... | |
| class | etirm::SwigEtirmRun |
| Class holding information used for one modeling problem. More... | |
| class | etirm::estep |
| SWIG wrapper for EStepDiscrete object. More... | |
Typedefs | |
| typedef RealVector | etirm::double_vector |
| Vector type for double precision values. | |
| typedef SCPPNT::Vector< int > | etirm::int_vector |
| Vector type for integer values. | |
| typedef std::vector< item_type * > | etirm::ItemVector |
| Vector type for item pointers. | |
| typedef EStepDiscrete < examinee_type, item_type, ItemVector::iterator, lvdist_type > | etirm::estep_type |
| Class used in E-step calculation. | |
| typedef std::vector< Uncmin < RealVector, RealMatrix, item_type > * > | etirm::UncminVector |
| Container to hold Uncmin optimization objects. | |
| typedef std::vector < examinee_type * > | etirm::ExamineeVector |
| Container holding examinee object pointers. | |
| typedef std::vector < ItemRespCounts * > | etirm::ItemStatsVector |
| Container holding pointers to objects containing item statistics for each item. | |
Functions | |
| void | etirm::CheckRunInit () |
| Check that new_etirm has been called. | |
| void | etirm::CheckItemParam (item_type *item, int index, const char *funcname) |
| Tests whether item parameter index is valid for the item. | |
| ItemParamPrior * | etirm::CreatePrior (const std::string &pstr, const double_vector &priorparam, const char *funcname) |
| Create a prior distribution object and return a pointer to it. | |
| template<class V> | |
| V | etirm::ItemSubset (int_vector *itemnums, V &all, const char *funcname) |
| Creates a container holding the elements corresponding to a subset of items. | |
| char | etirm::Resp2Char (Response r, const item_type *item) |
| Converts a response for an item into a character, where '0' represents the first response, '1' represents the second response, etc. | |
| void | etirm::set_missing_resp (char nr) |
| Assigns missing response code to identify examinees who did not respond to an item. | |
| int | etirm::num_items () |
| Returns the number of items. | |
| int | etirm::num_latent_dist_points () |
| Returns number of categories of the discrete theta distribution. | |
| int | etirm::num_groups () |
| Returns number of examinee groups. | |
| int | etirm::num_examinees () |
| Returns number of examinees. | |
| const char * | etirm::item_get_model (int itemno) |
| Returns the name of model used for an item. | |
| void | etirm::item_set_param (int paramno, int itemno, double paramvalue) |
| Assigns a value to one item parameter of an item. | |
| void | etirm::item_set_params (int itemno, double_vector *params) |
| Assigns values to all item parameters of an item. | |
| void | etirm::item_set_all_params (int itemno, double_vector *params) |
| Assigns values to all fixed and estimated item parameters of an item. | |
| double | etirm::item_get_param (int paramno, int itemno) |
| Returns value of one item parameter of an item. | |
| double_vector * | etirm::item_get_params (int itemno) |
| Returns vector of all estimated item parameters values of an item. | |
| double_vector * | etirm::item_get_all_params (int itemno) |
| Returns vector of all fixed and estimated item parameters values of an item. | |
| int | etirm::item_num_params (int itemno) |
| Returns the number of parameters of an item. | |
| int | etirm::item_num_resp_cat (int itemno) |
| Returns the number of response categories of an item. | |
| void | etirm::item_set_prior (int paramno, int itemno, char *priortype, double_vector *dlist) |
| Assigns prior distribution parameters for one item parameter. | |
| const char * | etirm::item_get_prior_type (int paramno, int itemno) |
| Returns type of prior distribution ("normal", "lognormal", "beta", "none") for one item parameter. | |
| double_vector * | etirm::item_get_prior_param (int paramno, int itemno) |
| Returns vector of prior distribution parameters for one item parameter. | |
| double | etirm::item_prob_resp (int itemno, int response, double theta) |
| Returns the probability that an examinee with a particular theta value will give a particular response to a particular item. | |
| int | etirm::item_scale_params (int itemno, double slope, double intercept, bool ignorePriorError) |
| Transforms the parameter estimates of an item to a different latent variable scale. | |
| double_vector * | etirm::item_cat_counts (int itemno, int group) |
| Returns vector of response counts in each response category of an item. | |
| double | etirm::item_resp_count (int itemno, int group) |
| Returns the number of examinees responding to an item. | |
| double_vector * | etirm::test_characteristic_curve (double_vector *thetas, int_vector *ilist2) |
| Returns a vector of values of the test characteristic curve, given a vector of theta values and a selection of items. | |
| void | etirm::dist_set_point (int index, double p, int group) |
| Assigns a quadrature point value to one discrete category of the discrete latent variable distribution. | |
| void | etirm::dist_set_points (double_vector *dlist, int group) |
| Assigns quadrature point values to each discrete category of the discrete latent variable distribution. | |
| double | etirm::dist_get_point (int index, int group) |
| Returns the quadrature point value of one discrete category of the discrete latent variable distribution. | |
| double_vector * | etirm::dist_get_points (int group) |
| Returns vector of quadrature point values of the discrete latent variable distribution. | |
| void | etirm::dist_set_prob (int index, double w, int group) |
| Assigns the quadrature weight to one discrete category of the discrete latent variable distribution. | |
| void | etirm::dist_set_probs (double_vector *dlist, int group) |
| Assigns quadrature weights to the quadrature points of the latent variable distribution. | |
| double | etirm::dist_get_prob (int index, int group) |
| Returns the quadrature weight of one discrete category of the latent variable distribution for one group of examinees. | |
| double_vector * | etirm::dist_get_probs (int group) |
| Returns vector of quadrature weights of the latent variable distribution for one group of examinees. | |
| void | etirm::dist_transform (double slope, double intercept) |
| Transforms the quadrature points of latent variable distribution to a new scale. | |
| double_vector * | etirm::dist_scale (double mean, double sd, int group) |
| Scales to the quadrature points of latent variable distribution to yield a specfic mean and standard deviation in one group. | |
| double_vector * | etirm::dist_mean_sd (int group) |
| Returns a vector with the mean and standard deviation of the latent variable distribution for a selected group of examinees. | |
| int | etirm::dist_unique_points () |
| Returns 1 if unique sets of quadrature points are used for two or more groups of examinees, or returns 0 otherwise. | |
| double_vector * | etirm::normal_dist_prob (int npoints, double minPoint, double maxPoint, double mean, double sd) |
| Returns a vector of probabilities for a discrete distribution to approximate a normal distribution over a set of equally spaced points. | |
| double_vector * | etirm::normal_dist_points (int npoints, double minPoint, double maxPoint, double mean, double sd) |
| Returns a vector of quadrature points for a discrete distribution over a set of equally-spaced points. | |
| int | etirm::mstep_items (bool ignore_max_iter, int_vector *itemno) |
| CalculateS M-step for a set of items. | |
| double | etirm::mstep_max_diff () |
| Returns the maximum relative difference between parameter estimates in two successive EM iterations, as computed in last call to mstep_items. | |
| int | etirm::mstep_message (int itemno) |
| Returns message from M-step minimization for one item. | |
| void | etirm::mstep_max_iter (int itemno, int maxiter) |
| Assigns the maximum number of iterations permitted with optimization procedure in mstep_items for one item. | |
| double | etirm::mstep_dist (estep *e, int group) |
| Executes M-step for the latent distribution in one group. | |
| int | etirm::add_examinee (int_vector *responses, int group, double count) |
| Add an examinee objec to the end of the examinee vector. | |
| int_vector * | etirm::examinee_responses (int examineeno) |
| Returns pointer to an integer vector of examinee item responses to all items. | |
| const char * | etirm::examinee_response_str (int examineeno) |
| Returns string containing (character) examinee responses to all items. | |
| int | etirm::examinee_get_group (int examineeno) |
| Return the number of the group the examinee belongs to. | |
| void | etirm::examinee_set_group (int examineeno, int group) |
| Assigns which group the examinee belongs to. | |
| void | etirm::examinee_set_count (int examineeno, double count) |
| Assigns the count (or weight) of the examinee. | |
| double | etirm::examinee_get_count (int examineeno) |
| Returns the count (or weight) of the examinee. | |
| double | etirm::examinees_count (int group) |
| Returns total examinee count in an examinee group (1, 2, ...), or across all groups. | |
| void | etirm::examinee_set_posterior (int examineeno, double_vector *posterior) |
| Assigns posterior distribution of an examinee. | |
| double_vector * | etirm::examinee_get_posterior (int examineeno) |
| Returns pointer to vector of the posterior distribution of an examinee. | |
| double | etirm::examinee_posterior_mean (int examineeno) |
| Returns means of an examinee's posterior distribution. | |
| double | etirm::examinee_theta_MLE (int examineeno, double minTheta, double maxTheta, double precision, int_vector *itemno5) |
| Returns an examinee's maximum likelihood estimate of theta. | |
| void | etirm::bootstrap_seed (unsigned long seed) |
| Assigns seed of random number generator used for bootstrap samples. | |
| void | etirm::bootstrap_sample () |
| Generate bootstrap sample of examinees. | |
| void | etirm::simulate_seed (unsigned long seed) |
| Assigns seed of random number generator used for simulating item responses. | |
| int_vector * | etirm::simulate_responses (double theta, int_vector *itemno2) |
| Simulates item responses (integers) for a specific value of the latent variable. | |
| const char * | etirm::simulate_response_str (double theta, int_vector *itemno2) |
| Simulates item responses (characters) for a specific value of the latent variable. | |
| int_vector * | etirm::get_responses (char *line, int_vector *offset, int_vector *len) |
| Reads item responses from an input record. | |
| int_vector * | etirm::get_responses_missing (char *line, int_vector *offset, int_vector *len, int_vector *items) |
| Read item responses from a string where responses to only some items are present. The responses to the remaining items are assumed to be missing. | |
See swig_etirm.cpp for documentation.
Estimation Toolkit for Item Response Models (ETIRM) http://www.smallwaters.com/software/cpp/etirm.html
Author(s): Werner Wothke, maintenance (http://www.smallwaters.com) Brad Hanson (http://www.b-a-h.com/) See the file LICENSE for information on usage and redistribution.
Copyright (C) 2008, Werner Wothke Copyright (c) 2000-2002, Bradley A. Hanson
Definition in file swig_etirm.h.
1.5.4