lp_func: Parameter value finding helper for covariate inclusion

In calliste-fagard-jenkin/GAI: Generalised Abundance Index for Seasonal Invertibrates

Parameter value finding helper for covariate inclusion

Description

A helper function which obtains the linear predictor for a given set of parameters ('mu', 'sigma') etc, by scanning the list of design matrices and the model skeleton for the relevant information

Usage

lp_func(brood, is_indiv, is_general, par, base, DMs)

Arguments

brood	the parameter number (integer) within the sequence. If being used by the package internally, this is almost always the brood number
is_indiv	A boolean indicating if the parameter for this given brood is specified with a brood specific formula
is_general	A boolean indicating if the parameter for this given is the same as that of the other broods
par	A vector of parameter estimates, typically supplied by optim
base	The character name of the type of parameter. "mu", "sigma", or "w"
DMs	The list of design matrices which contains all of the design matrices required to calculated the value of each parameter given its covariate values

Value

A matrix of parameter values, to be used by get_parameter_values_all_rows

calliste-fagard-jenkin/GAI documentation built on July 26, 2022, 11:20 a.m.