Some IRT functions for lazy boys and girls.


[Up] [Top]

Documentation for package ‘lazy.irt’ version 0.1.3

Help Pages

lazy.irt-package lazy.irt: Some IRT functions for lazy boys and girls
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
paramA1 Item Parameter Data Frame # 1. (10 items of all types)
paramB1 Binary Item Parameter Data Frame # 1. (18 items)
paramB2 Binary Item Parameter Data Frame # 2. (18 items)
paramCal1 Small Item Parameter Data Frame for Testing cala and calr #1.
paramCal2 Small Item Parameter Data Frame for Testing cala and calr #2.
paramS1 Small Item Parameter Data Frame # 1. (3 items)
paramS2 Small Item Parameter Data Frame # 2. (8 items)
paramS3 Small Item Parameter Data Frame # 3. (20 items)
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
weightA1 Item Category Weight Data Frame # 1. (10 items of all types)
weightS1 Small Item Weight Data Frame # 1 To be used in conjunction with paramS1.
weightS11 Small Item Weight Data Frame # 2. To be used in conjunction with paramS1.
weightS12 Small Item Weight Data Frame # 3. To be used in conjunction with paramS1.
weightS2 Small Item Weight Data Frame # 4. To be used in conjunction with paramS2.
weightS21 Small Item Weight Data Frame # 5. To be used in conjunction with paramS2.
weightS22 Small Item Weight Data Frame # 6. To be used in conjunction with paramS2.
weightS3 Small Item Weight Data Frame #7 To be used in conjunction with paramS3