Some IRT functions for lazy boys and girls

Documentation for package ‘lazy.irt’ version 0.1.6

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-- 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