t_corr: Temperature Correction factor
In Echinophoria/DEB: What the Package Does (One Line, Title Case)

Description Usage Arguments Value Warning Author(s) References Examples

calculates de correction factor for the parameters and variables that are temperature dependent at the given temperature/s. DEB theory uses the Arrhenius concept of enzyme activation to incorporate the effect of temperature on the metabolic processes. The DEB model uses alternative variations of Arrhenius / van 't Hoff equations to calculate a curve for temperature sensitivity given by 5, 3 or only 1 parameter.

1	t_corr(p, Ti)

`p`	a list containing a vector t.pars, as the one yielded using the function 'get_DEB_pars'. Alternative a vector containing 2 (T_ref, T_A), 4 (T_ref, T_A, T_L, T_AL) or 6 (T_ref, T_A, T_L, T_H, T_AL, T_AH) parameters
`Ti`	a single value or a vector containing the aimed temperature or temperature/s in Kelvins

`TC`	A single value or a vector containing the correction factor/s for the given temperature/s

Temperature parameters should be given in the same order referred in the argument section

Antonio Aguera. BioMar, ULB, Bruxelles, Belgium

DEBlab, http://http://www.bio.vu.nl/thb/deb/deblab/

Kooijman SALM (2010) Dynamic Energy Budget theory for metabolic organisation, Third edn. Cambridge University Press, Cambridge, 509 pp.

Lika K, Kearney MR, Freitas V et al. (2011) The covariation method for estimating the parameters of the standard Dynamic Energy Budget model I: Philosophy and approach. Journal of Sea Research, 66, 270_277.

Lika K, Kearney MR, Kooijman SALM (2011) The covariation method for estimating the parameters of the standard Dynamic Energy Budget model II: Properties and preliminary patterns. Journal of Sea Research, 66, 278_288.

## with single input and list from get_DEB_pars()
#pars = get_DEB_pars('results_Odontaster_validus.mat')
#Ti = 273    #in Kelvins
#TC = t_corr(pars, Ti)  # only one value for TC

## with several temperatures and using a 3 parameter correction
#pars (293, 5303, 269, 120200)  # (T_ref, T_A, T_L, T_AL)
#Ti = c(273,284,290,278)    # in Kelvins
#TC = t_corr(pars, Ti)      # one TC value for each Ti
f=1