cala | Calibration of Independently Estimated Sets of Item Parameters by Minimizing the LS Criterion Defined in terms of Parameter Values |

calr | Calibration of Independently Estimated Sets of Item Parameters by Minimizing the LS Criterion Defined in terms of Probability Values |

checkparam | Checking and Subsetting the Parameter Data Frame |

contimuous | Calculate the probability contents associated with the integer score |

convP2N | Convert Partial Credit Item Parameters to in Nominal Format |

convP2PN | Convert Partial Credit Item Parameters in Standard Format to Partial Credit Item Parameters in Nominal Format |

convPN2P | Convert Partial Credit Item Parameters in Nominal Format to Standard Format |

deviationi | Calculate the probability contents associated with the integer score |

dicrfB | Calculation of the Derivative of Item Response Function of Binary Logistic Items |

dicrfBn | Calculation of the Derivative of Item Response Function of Binary Normal CDF Items |

dicrfG | Calculation of the Derivative of Item Response Function of Graded Response Items |

dicrfGn | Calculation of the Derivative of Item Response Function of Graded Response Items with Normal Ogive MOdel |

dicrfN | Calculation of the Derivative of Item Response Function of Nominal Items |

dicrfP | Calculation of the Derivative of Item Response Function of Partial Credit Items |

dicrfPN | Calculation of the Derivative of Item Response Function of Partial Credit Items in Nominal Format |

dicrfPN0 | Calculation of the Derivative of Partial Credit ICRF in Nominal format |

dicrf_num | Numerical Derivatives of ICRF w.r.t. theta |

dirf | Calculation of Derivative of Item Response Function |

dirf_p | Calculation of the Derivatives of the Item Category Response Function with respect to Item Parameters |

est_rank | Estimation of the Latent Rank of LRT Model |

est_theta | Estimation of Theta |

find_intersection | Find the intersection of icrf |

find_mode | Find the mode of icrf |

fit223_ls | Conversion of 3PLM Items to 2PLM Items |

fitG2P | Approximate Conversion of Partial Credit Items to Graded Response Items Using Logit Transformation |

fitG2P_ls | Conversion of Partial Credit Items to Logistic Graded Response Items |

fitGn2P_ls | Conversion of Partial Credit Items to Normal Graded Response Items |

fitI2L | Approximate Conversion of LRT to IRT Using Logit Transformation |

fitI2L_ls | Conversion of LRT to IRT by Weighted LS |

fitI2L_ls0 | Conversion of LRT to IRT |

fitP2G | Approximate Conversion of Graded Response Items to Partial Credit Items Using Logit Transformation |

fitP2G_ls | Conversion of Graded Response Items to Partial Credit Items |

flatten_SEM | Find a Transformation g of the Observed Score X such that Y=g(X) has a Flat Standard Error of Measurement. |

flatten_SEM_theta | Find a Transformation g of the Thetahat based Observed Score X such that Y=g(X) has a Flat Standard Error of Measurement. |

gendataIRT | Generation of Simulated Item Response Data |

gen_icrfnames | Generate the Row Names of vec(icrf) as the Combination of Theta Values and Category Names. |

GOptWeight | Estimation of the Globally Optimal Item Category Weights |

graded_info | Calculation of the Information Function associated with the Graded Observed Score. |

graded_prob | Calculate the probability contents associated with the integer score |

icrfB | Calculation of Item Response Function of Binary Logistic Items |

icrfBn | Calculation of Item Response Function of Binary Norma CDF Items |

icrfG | Calculation of Item Response Function of Graded Response Items |

icrfGn | Calculation of Item Response Function of Graded Response Items with Normal Ogive Model (2PNM) |

icrfP | Calculation of Item Response Function of Partial Credit Items |

icrfPN | Calculation of Item Response Function of Partial Credit Items in Nominal Model Format |

icrfPN0 | Calculation of Partial Credit ICRF in Nominal format |

info_func | Calculation of Various Information Functions |

irf | Calculation of Item Response Function |

lazy.irt | lazy.irt: Some IRT functions for lazy boys and girls |

obscore | Calculation of Observed Score Distribution and Posterior Distribution of Theta with Various Information Functions |

of | Calculate the probability contents associated with the integer score |

ordinal_reg | Oridinal Regression |

read.param | Reading Parameter File |

read.weight | Reading Weight File |

rel_irt | Calculation of Test Reliability and Average SEM under IRT |

smn | Parameter Estimation of Parametric (Normal pdf) Scored Multinomial Distributions |

standard | Calculate the probability contents associated with the integer score |

std | Calculate the probability contents associated with the integer score |

sumsmnw | Distribution of the Weighted Sum of Several Independent Scored Multinomial Distributions |

sumsmnw12 | Distribution of the Weighted Sum of Two Independent Scored Multinomial Distributions |

The | Calculate the probability contents associated with the integer score |

the | Calculate the probability contents associated with the integer score |

uIRT | Item Parameter Estimation of Unidimensional IRT |

uLRT | Item Parameter Estimation of Unidimensional LRT |

underlying | Calculate the probability contents associated with the integer score |

variable | Calculate the probability contents associated with the integer score |

weight.df | Convert a vector of category weights to weight data frame |