Integrating Multiple Modalities of High Throughput Assays Using Item Response Theory

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Documentation for package ‘integIRTy’ version 1.0.7

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

calculatePermutedScoreByGeneSampling	Calculate the permuted latent trait by gene sampling
CN_N	Ovarian Cancer Datasets
CN_T	Ovarian Cancer Datasets
computeAbility	Calculate latent traits for a given response matrix and item parameters using MLE
dichotomize	A wrapper that is able to dichotomize expression, methylation and CN data
dichotomizeCN	Dichotomizing copy number data based on segmented data (i.e. log2ratio).
dichotomizeExpr	Dichotomize the expression data given both tumor and normal samples.
dichotomizeMethy	Dichotomize the methylation data given both tumor and normal controls.
Expr_N	Ovarian Cancer Datasets
Expr_T	Ovarian Cancer Datasets
fitOnSinglePlat	Fit IRT model on a single platform
intIRTeasyRun	The easyrun function for integrating multiple modalities of high throughput assays using binary input matrix.
intIRTeasyRunFromRaw	The easyrun function for integrating multiple modalities of high throughput assays using raw data.
Methy_N	Ovarian Cancer Datasets
Methy_T	Ovarian Cancer Datasets
OV	Ovarian Cancer Datasets
simulateBinaryResponseMat	Simulate binary response matrix according to 2-parameter Item Characteristic Function for given latent traits and item parameters.