Power analysis is used in the estimation of sample sizes for
    experimental designs. Most programs and R packages will only output the highest
    recommended sample size to the user. Often the user input can be complicated
    and computing multiple power analyses for different treatment comparisons can
    be time consuming. This package simplifies the user input and allows the user
    to view all of the sample size recommendations or just the ones they want to see.
    The calculations used to calculate the recommended sample sizes are from the
    'pwr' package.

Provides various functions for reading and preparing the Panel Study of Income Dynamics (PSID) for longitudinal analysis, including functions that read the PSID's fixed width format files directly into R, rename all of the PSID's longitudinal variables so that recurring variables have consistent names across years, simplify assembling longitudinal datasets from cross sections of the PSID Family Files, and export the resulting PSID files into file formats common among other statistical programming languages ('SAS', 'STATA', and 'SPSS').

Query NCBI Entrez and retrieve PubMed records in XML or text format. Process PubMed records by extracting and aggregating data from selected fields. A large number of records can be easily downloaded via this simple-to-use interface to the NCBI PubMed API.

Makes difficult operations easy. Includes these types of functions: 
    shorthand, type conversion, data wrangling, and work flow. 
    Also includes some helpful data objects: NA strings, U.S. state list, color blind charting colors. 
    Built and shared by Oliver Wyman Actuarial Consulting. Accepting proposed contributions through GitHub.

Streamlines reproducible Rasch measurement theory analyses
    for ordinal item-response data, combining estimation routines from
    'eRm', 'psychotools', 'mirt', 'iarm', and 'lavaan' with consistent
    diagnostic, plotting, and reporting layers. Covers the four basic
    psychometric criteria summarised by Christensen et al. (2021)
    <doi:10.1111/sms.13908> -- unidimensionality, local independence,
    ordered response category thresholds, and invariance across
    subgroups -- together with item fit, targeting, reliability,
    category functioning, and descriptive item-response plots. A
    distinguishing feature is the use of simulation-based critical
    values to replace rule-of-thumb cutoffs for conditional infit mean-square,
    Yen's Q3 local-dependence statistic, the largest residual-PCA eigenvalue,
    ordinal CFA fit indices, and partial-gamma DIF and local-dependence
    coefficients, optionally augmented with multiplicity-corrected bootstrap
    p-values. Outputs are knitr::kable() tables and
    'ggplot2' figures suitable for direct inclusion in 'Quarto' and 'R Markdown'
    reports.