Univariate and multivariate temporal and spatial diversity indices, 
    rank abundance curves, and community stability measures. The functions 
    implement measures that are either explicitly temporal and include the 
    option to calculate them over multiple replicates, or spatial and include 
    the option to calculate them over multiple time points. Functions fall into 
    five categories: static diversity indices, temporal diversity indices, 
    spatial diversity indices, rank abundance curves, and community stability 
    measures. The diversity indices are temporal and spatial analogs to 
    traditional diversity indices. Specifically, the package includes functions 
    to calculate community richness, evenness and diversity at a given point in 
    space and time. In addition, it contains functions to calculate species 
    turnover, mean rank shifts, and lags in community similarity between two 
    time points. Details of the methods are available in
    Hallett et al. (2016) <doi:10.1111/2041-210X.12569> and Avolio 
    et al. (2019) <doi:10.1002/ecs2.2881>.

Performs analysis of complex dynamic systems with a focus on the
    temporal unfolding of patterns, changes, and state transitions in
    behavioral data. Supports both time series and sequence data
    and provides tools for the analysis and visualization of complexity,
    pattern identification, trends, regimes, sequence typology as well as
    early warning signals.

Provide a series of functions to conduct a meta analysis of 
    factor analysis based on co-occurrence matrices. The tool can be used to 
    solve the factor structure (i.e. inner structure of a construct, or scale) 
    debate in several disciplines, such as psychology, psychiatry, management, 
    education so on. References: Shafer (2005) <doi:10.1037/1040-3590.17.3.324>; 
    Shafer (2006) <doi:10.1002/jclp.20213>; Loeber and Schmaling (1985) <doi:10.1007/BF00910652>.

Cronbach's alpha and McDonald's omega are widely used reliability or internal consistency measures in social, behavioral and education sciences. Alpha is reported in nearly every study that involves measuring a construct through multiple test items. The package 'coefficientalpha' calculates coefficient alpha and coefficient omega with missing data and non-normal data. Robust standard errors and confidence intervals are also provided. A test is also available to test the tau-equivalent and homogeneous assumptions. Since Version 0.5, the bootstrap confidence intervals were added.