Easy and rapid quantitative estimation of small terrestrial ectotherm temperature regulation effectiveness in R. ectotemp is built on classical formulas that evaluate temperature regulation by means of various indices, inaugurated by Hertz et al. (1993) <doi: 10.1086/285573>. Options for bootstrapping and permutation testing are included to test hypotheses about divergence between organisms, species or populations.

The cointegration based support vector regression model enables researchers to use data obtained from the cointegrating vector as input in the support vector regression model.

This cointegration based Time Delay Neural Network Model hybrid model allows the researcher to make use of the information extracted by the cointegrating vector as an input in the neural network model.

We implement (or re-implements in R) a variety of statistical
    tools. They are focused on non-parametric two-sample (or k-sample)
    distribution comparisons in the univariate or multivariate case. See
    the vignette for more info.

Reproducibility assessment is essential in extracting reliable scientific 
    insights from high-throughput experiments.  While  the  Irreproducibility 
    Discovery   Rate   (IDR)   method  has  been  instrumental  in  assessing 
    reproducibility,  its  standard implementation is constrained to handling
    only two  replicates. Package 'eCV' introduces an enhanced Coefficient of
    Variation  (eCV)  metric  to assess the likelihood of omic features being 
    reproducible. Additionally, it offers alternatives  to  the  Irreproducible
    Discovery  Rate  (IDR)  calculations for multi-replicate experiments. 
    These  tools  are  valuable for analyzing high-throughput data in genomics
    and  other  omics  fields. The methods implemented in 'eCV' are  described 
    in Gonzalez-Reymundez et al., (2023) <doi:10.1101/2023.12.18.572208>.

Functions of five estimation method for ED50 (50 percent effective dose) are provided, and they are respectively
    Dixon-Mood method (1948) <doi:10.2307/2280071>, Choi's original turning point method (1990) <doi:10.2307/2531453> and it's modified version given by
    us, as well as logistic regression and isotonic regression. Besides, the package also supports
    comparison between two estimation results.