| bcFuns {RFishBC} | R Documentation |
Creates a function for a specific model.
Description
Creates a function for a specific model based on definitions in Vigliola and Meekan (2009).
Usage
bcFuns(BCM)
Arguments
BCM |
A single numeric between 1 and 22 or a string that indicates which model to use (based on numbers and names in Vigliola and Meekan (2009)). |
Details
The following models, based on definitions with abbreviations and model numbers from Vigliola and Meekan (2009), are supported.
| Abbreviation | Number | Model |
| DALE | 1 | Dahl-Lea |
| FRALE | 2 | Fraser-Lee |
| BI, LBI | 3 | (Linear) Biological Intercept |
| BPH, LBPH | 4 | (Linear) Body Proportional Hypothesis |
| TVG | 5 | Time-Varying Growth |
| SPH, LSPH | 6 | (Linear) Scale Proportional Hypothesis |
| AE, AESPH | 7 | (Age Effect) Scale Proportional Hypothesis |
| AEBPH | 8 | (Age Effect) Body Proportional Hypothesis |
| MONA | 9 | Monastyrsky |
| MONA-BPH | 10 | Monastyrsky Body Proportional Hypothesis |
| MONA-SPH | 11 | Monastyrsky Scale Proportional Hypothesis |
| WAKU | 12 | Watanabe and Kuroki |
| FRY | 13 | Fry |
| MF, ABI | 14 | Modified Fry, Allometric Biological Intercept |
| FRY-BPH, ABPH | 15 | Fry, Allometric Body Proportional Hypothesis |
| FRY-SPH, ASPH | 16 | Fry, Allometric Scale Proportional Hypothesis |
| QBPH | 17 | Quadratic Body Proportional Hypothesis |
| QSPH | 18 | Quadratic Scale Proportional Hypothesis |
| PBPH | 19 | Polynomial Body Proportional Hypothesis |
| PSPH | 20 | Polynomial Scale Proportional Hypothesis |
| EBPH | 21 | Exponential Body Proportional Hypothesis |
| ESPH | 22 | Exponential Scale Proportional Hypothesis |
Value
A function that can be used to predict length at previous age (Li) given length-at-capture (Lcap), hard-part radius-at-age i (Ri), and hard-part radius-at-capture (Rcap). In addition, some functions/models may require the previous age (agei) and the age-at-capture (agec), certain parameters related to the biological intercept (R0p & L0p), or certain parameters estimated from various regression models (a,b,c,A,B,C). See source for more information.
IFAR Supplement
https://derekogle.com/IFAR/supplements/backcalculation.html
Author(s)
Derek H. Ogle, DerekOgle51@gmail.com
References
Vigliola, L. and M.G. Meekan. 2009. The back-calculation of fish growth from otoliths. pp. 174-211. in B.S. Green et al. (editors). Tropical Fish Otoliths: Information for Assessment, Management and Ecology. Review: Methods and Technologies in Fish Biology and Fisheries 11. Springer. [Was (is?) available from https://www.researchgate.net/publication/226394736_The_Back-Calculation_of_Fish_Growth_From_Otoliths.]
Examples
## Simple Examples
( bcm1 <- bcFuns(1) )
bcm1(20,10,40)
## Example with dummy length-at-cap, radii-at-cap, and radii-at-age
lencap <- c(100,100,100,150,150)
radcap <- c(20,20,20,30,30)
rad <- c( 5,10,15,15,25)
bcm1(lencap,rad,radcap)
( bcm2 <- bcFuns("FRALE") )
bcm2(lencap,rad,radcap,2) # demonstrated with a=2