calcPrM2M: Calculate mean growth and the growth transition matrix

In wStockhausen/shinyTC.CohortProgression: Package to simulate a Tanner crab cohort progression using Shiny

Description

Function to calculate mean growth and the growth transition matrix.

Usage

calcPrM2M(configInfo, input, verbose = FALSE)

Arguments

configInfo	- list created by setConfigInfo with model configuration elements
input	- list with growth parameters and other information

Details

Returns a list with elements:<cr> <ul> <li> params - a list with input parameter values </li> <li> prM2M_z - a vector with wtih probability of molt-to-maturity by pre-molt size </li> <li> mdfrPrM2M - a dataaframe wtih probability of molt-to-maturity by pre-molt size </li> </ul>

The input list has elements:<cr> <ul> <li> z50 - location parameter for parametric curve (logistic; size at inflection point) </li> <li> b50 - scale parameter for parametric curve (logistic; width) </li> <li> z0 - min size at which prM2M becomes non-zero (using parametric description) </li> <li> pLgtScl - logit-scale parameters reflecting non-parametric curve for prM2M </li> <li> n0 - number of initial size bins at which prM2M is zero (using non-parametric curve description) </li> <li> useNonParametric - flag (T/F) to use non-parametric curve for prM2M </li> </ul>

Value

list - list with prM2M as a vector and as a dataframe (see @details )

wStockhausen/shinyTC.CohortProgression documentation built on July 19, 2021, 5:32 a.m.