Some IRT functions for lazy boys and girls.

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Documentation for package ‘lazy.irtx’ version 1.0.1

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lazy.irt-package lazy.irt: Some IRT functions for lazy boys and girls
lazy.irtx-package lazy.irtx: Some IRT functions for lazy boys and girls
b_diag Makes a Block Diagonal Matrix from the Arguments
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
cards Convert a string to matrix For those who miss the luxury of using spaces as delimitters.
ceiling_n Return the Ceiling and Power of the Input using Radix (Base) of n
checkparam Checking and Subsetting the Parameter Data Frame
chkginv Check if the the second matrix is a generalized inverse of the first one, or vice versa.
comments Comment out multiple lines
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
decp Returns the (approximate) # of Digits on the Both Sides of the Decimal Point
demomat Set up a matrix whose elements consist of row and col numbers.
Diag Diag(x) creats a diagonam matrix from its argument vector or matrix
dicrfB Calculation of the Derivative of Item Response Function of Binary Logistic Items
dicrfG Calculation of the Derivative of Item Response Function of Graded Response Items
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
dirf Calculation of Derivative of Item Response Function
dirf_p Calculation of the Derivative of Item Response Function with respect to Item Parameters
dummy_expand Dummmy Expantion of Categorical Data
esttheta Estimation of Theta
find_intersection Find the intersection of icrf
find_mode Find the mode of icrf
fitG2P Approximate Conversion of Partial Credit Items to Graded Response Items Using Logit Transformation
fitP2G Approximate Conversion of Graded Response Items to Partial Credit Items Using Logit Transformation
fuzz Print an Object with Print function with fuzz= option
gendataIRT Generation of Simulated Item Response Data
generate_iSQUAREM Inline Squared Extrapolation Methods for accelerating fixed-point iterations
get_range Convert levels to range
GOptWeight Estimation of the Globally Optimal Item Category Weights
graded_info Calculation of the Information Function associated with the Graded Observed Score.
icrfB Calculation of Item Response Function of Binary Logistic Items
icrfG Calculation of Item Response Function of Graded Response Items
icrfN Calculation of Item Response Function of Nominal Items
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
interpol Interpolation of data
irf Calculation of Item Response Function
is.varname Check if the argument is a valid variable name
iSQUAREM iSQUAREM A function to be used to update parameters using inline SQUAREM: Inline Squared Extrapolation Methods for accelerating fixed-point iterations
lazy.irt lazy.irt: Some IRT functions for lazy boys and girls
lazy.irtx lazy.irtx: Some IRT functions for lazy boys and girls
matSwp Matrix Sweep Operator
Mh2Mv Convert a horizontally stacked supermatrix to a vertially stacked one.
named_list Create a named list
obscore Calculation of Observed Score Distribution and Posterior Distribution of Theta with Various Information Functions
ordinal_reg Oridinal Regression
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)
pmat Generate a permutation matrix to switch row or column.
princ Principal Component Analysis of Y with possible missing elements
Print Print arguments with their names and formats
read.param Reading Parameter File
read.weight Reading Weight File
rmv Remove Objects If They Exists in the Parent Frame
smn Parameter Estimation of Parametric (Normal pdf) Scored Multinomial Distributions
sumsmnw Distribution of the Weighted Sum of Several Independent Scored Multinomial Distributions
sumsmnw12 Distribution of the Weighted Sum of Two Independent Scored Multinomial Distributions
trim trim leading and trailing blanks
uIRT Item Parameter Estimation of Unidimensional IRT
vecdiag Returns diagonal elements of A as a vector
weight.df Convert a vector of category weights to weight data frame
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
wquantile Weighted Quantile