Provides functions for the complete analysis of respiratory data. Consists of a set of functions that allow to preprocessing respiratory data,  calculate both regular statistics and nonlinear statistics, conduct group comparison and visualize the results. Especially, Power Spectral Density ('PSD') (A. Eke (2000) <doi:10.1007/s004249900135>), 'MultiScale Entropy(MSE)' ('Madalena Costa(2002)' <doi:10.1103/PhysRevLett.89.068102>) and 'MultiFractal Detrended Fluctuation Analysis(MFDFA)' ('Jan W.Kantelhardt' (2002) <doi:10.1016/S0378-4371(02)01383-3>) were applied for the analysis of respiratory data.

Provides tools to enable the researcher to more precisely conduct
    respirometry experiments. Strong emphasis is on aquatic respirometry. Tools
    focus on helping the researcher setup and conduct experiments. Functions for
    analysis of resulting respirometry data are also provided. This package
    provides tools for intermittent, flow-through, and closed respirometry
    techniques.

Some survey participants tend to respond carelessly which complicates data analysis. This package provides functions that make it easier to explore responses and identify those that may be problematic. See Gottfried et al. (2022) <doi:10.7275/vyxb-gt24> for more information.

Provides a structural, reproducible workflow for the
    processing and analysis of respirometry data. It contains analytical
    functions and utilities for working with oxygen time-series to determine
    respiration or oxygen production rates, and to make it easier to report and
    share analyses. See Harianto et al. 2019 <doi:10.1111/2041-210X.13162>.

Calculate common survey data quality indicators for multi-item scales 
             and matrix questions. Currently supports the calculation of
             response style indicators and response distribution indicators.
             For an overview on response quality indicators see Bhaktha N,
             Henning S, Clemens L (2024). 'Characterizing response quality
             in surveys with multi-item scales: A unified framework'
             <https://osf.io/9gs67/>.