NanoString nCounter data are gene expression assays
    where there is no need for the use of enzymes or amplification
    protocols and work with fluorescent barcodes (Geiss et al. (2018)
    <doi:10.1038/nbt1385>). Each barcode is assigned a
    messenger-RNA/micro-RNA (mRNA/miRNA) which after bonding with its
    target can be counted. As a result each count of a specific barcode
    represents the presence of its target mRNA/miRNA. 'NACHO' (NAnoString
    quality Control dasHbOard) is able to analyse the exported NanoString
    nCounter data and facilitates the user in performing a quality
    control. 'NACHO' does this by visualising quality control metrics,
    expression of control genes, principal components and sample specific
    size factors in an interactive web application.

Contains methods described by Dennis Helsel in 
             his book "Nondetects And Data Analysis: Statistics 
             for Censored Environmental Data".

Contains methods described by Dennis Helsel in 
             his book "Statistics for Censored Environmental Data
             using Minitab and R" (2011) and courses and videos at 
             <https://practicalstats.com>. This package adds new functions to 
             the `NADA` Package.

Creates a uniform interface for several advanced imputations missing data methods. Every available method can be used as a part of 'mlr3' pipelines which allows easy tuning and performance evaluation. Most of the used functions work separately on the training and test sets (imputation is trained on the training set and impute training data. After that imputation is again trained on the test set and impute test data).

This data package contains the Item Response Theory (IRT) parameters for the National Center for Education Statistics (NCES) items used on the National Assessment of Education Progress (NAEP) from 1990 to 2015. The values in these tables are used along with NAEP data to turn student item responses into scores and include information about item difficulty, discrimination, and guessing parameter for 3 parameter logit (3PL) items. Parameters for Generalized Partial Credit Model (GPCM) items are also included. The adjustments table contains the information regarding the treatment of items (e.g., deletion of an item or a collapsing of response categories), when these items did not appear to fit the item response models used to describe the NAEP data. Transformation constants change the score estimates that are obtained from the IRT scaling program to the NAEP reporting metric. Values from the years 2000 - 2013 were taken from the NCES website <https://nces.ed.gov/nationsreportcard/> and values from 1990 - 1998 and 2015 were extracted from their NAEP data files. All subtest names were reduced and homogenized to one word (e.g. "Reading to gain information" became "information"). The various subtest names for univariate transformation constants were all homogenized to "univariate".