Some IRT functions for lazy boys and girls


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Documentation for package ‘lazy.irt’ version 0.1.6

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C D E F G I L O P R S T U W

-- C --

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
calr_JPH 独立に推定された項目パラメタの共通項目法による等化
checkparam Checking and Subsetting the Parameter Data Frame
checkparam2 Checking and Subsetting the Parameter Data Frame (New Version)
conv2Bc Conversion to Two Parameter Logistic Model with fixed c Parameter
conv2Bc_JPH 2PLMc (定数の c パラメタを持つ 2PLM) への変換
conv2Bnc Conversion to Two Parameter Normal Ogive Model with Fixed c Parameter
conv2Bnc_JPH 2PNMc (定数の c パラメタを持つ 2PNM) への変換
conv2G Conversion to Logistic Graded Response Model
conv2Gn Conversion to Normal Graded Response Model
conv2Gn_JPH Normal GRM への変換
conv2G_JPH Logistic GRM への変換
conv2P Conversion to Generalized Partial Credit Model
conv2P_JPH GPCM への変換
convP2N Convert Partial Credit Item Parameters in Standard Format (step parameters) to Nominal Format
convP2PN Convert Partial Credit Item Parameters in Standard Format (step parameters) to Partial Credit Item Parameters in Nominal Format
convPN2P Convert Partial Credit Item Parameters in Nominal Format to Standard Format (step parameters)
coseq Classical Observed Score Equating
coseq_JPH 古典的方法によるテスト得点の等化
create_weight_df Create Weight Data Frame

-- D --

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

-- E --

est_rank Estimation of the Latent Rank of LRT Model
est_theta Estimation of Theta

-- F --

find_intersection Find the intersection of icrf
find_minmax_score Find the possible minimum and maximum scores of the test from the wei ght data frame
find_mode Find the mode of icrf
fitG2P Approximate Conversion of Partial Credit Items to Graded Response Items Using Logit Transformation
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
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.

-- G --

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

-- I --

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
iif Calculation of Information Functions
iif_JPH 情報関数の計算
info_func Calculation of Various Information Functions
invtrf Inverse Function of trf
irf Calculation of Item Response Function
irf_JPH 反応関数(特性曲線)の計算

-- L --

lazy.irt lazy.irt: Some IRT functions for lazy boys and girls
lazy.irt_JPH lazy.irt: 項目反応理論のための関数群 for lazy boys and girls

-- O --

obscore Calculation of Observed Score Distribution and Posterior Distribution of Theta with Various Information Functions
obscore_JPH テスト得点の分布の計算と特性値の事後分布の計算
obscore_s Calculate Observed Score Distribution (simple version of 'obscore')
ordinal_reg Oridinal Regression
ordinal_reg_JPH 順序的カテゴリを持つ基準変数の1次元の説明変数への回帰
oseq IRT Observed Score Equating
oseq_JPH 項目反応理論を用いた観測得点の等化 IRT Observed Score Equating

-- P --

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)

-- R --

read.param Reading Parameter File
read.weight Reading Weight File
read_blg_par Reading Bilog Parameter File
rel_irt Calculation of Test Reliability and SEM under IRT

-- S --

smn Parameter Estimation of Parametric (Normal pdf) Scored Multinomial Distributions
smn_JPH 正規分布の密度関数に比例する確率を持つ多項分布の確率の推定
sumsmnw Distribution of the Weighted Sum of Several Independent Scored Multinomial Distributions
sumsmnw12 Distribution of the Weighted Sum of Two Independent Scored Multinomial Distributions
sumsmnw_JPH 数値カテゴリを持つ独立な多項分布の重み付き和の分布の計算

-- T --

tseq IRT True Score Equating
tseq_JPH 項目反応理論を用いた真値の等化 IRT True Score Equating

-- U --

uIRT Item Parameter Estimation of Unidimensional IRT
uIRT_JPH 1次元の特性を仮定した場合の項目パラメタの推定
uLRT Item Parameter Estimation of Unidimensional LRT

-- W --

weightA1 Item Category Weight Data Frame # 1. (10 items of all types)
weightB1 Item Weight Data Frame for paramB1 or paramB2 or paramB2 1 (18 items)
weightB11 Item Weight Data Frame for paramB1 or paramB2 2 (18 items)
weightB12 Item Weight Data Frame for paramB1 or paramB2 3 (18 items)
weightB13 Item Weight Data Frame for paramB1 or paramB2 4 (18 items)
weightB14 Item Weight Data Frame for paramB1 or paramB2 5 (18 items)
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