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.

Plots the coefficients from model objects. This very quickly shows the user the point estimates and confidence intervals for fitted models.

Simulate species occurrence and abundances (counts) along
    gradients.

Simulates the composition of samples of vegetation
        according to gradient-based vegetation theory.  Features a
        flexible algorithm incorporating competition and complex
        multi-gradient interaction.

Contrast analysis for factorial designs provides an
    alternative to the traditional ANOVA approach, offering the distinct
    advantage of testing targeted hypotheses. The foundation of this
    package is primarily rooted in the works of Rosenthal, Rosnow, and
    Rubin (2000, ISBN: 978-0521659802) as well as Sedlmeier and Renkewitz
    (2018, ISBN: 978-3868943214).