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.

Express meta-analyses of continuous trial outcomes in terms of
    responder risks, following the interpretability tutorial of Thorlund,
    Walter, Johnston, Furukawa and Guyatt (2011) <doi:10.1002/jrsm.46>. Given
    the mean change, standard deviation and sample size per arm across studies,
    respondeR estimates the proportion of patients who cross a minimal important
    difference (MID) threshold under a parametric model for the change scores,
    and contrasts the arms as a risk difference, risk ratio, odds ratio or
    number needed to treat. It provides median, unweighted-mean, weighted-mean
    and per-study (fixed- or random-effects) pooling, the
    standardized-mean-difference to odds-ratio bridge of Anzures-Cabrera,
    Sarpatwari and Higgins (2011) <doi:10.1002/sim.4298>, a threshold-free
    common-language effect size, and a point-and-click 'Shiny' application. The
    estimation methods were evaluated in a simulation study by Sofi-Mahmudi
    (2024) <https://hdl.handle.net/11375/30210>.

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>.