estNBparams {RCM} | R Documentation |
A function to estimate the taxon-wise NB-params
estNBparams( design, thetas, muMarg, psi, X, nleqslv.control, ncols, initParam, v, dynamic = FALSE, envRange, allowMissingness, naId )
design |
an n-by-v design matrix |
thetas |
a vector of dispersion parameters of length p |
muMarg |
an offset matrix |
psi |
a scalar, the importance parameter |
X |
the data matrix |
nleqslv.control |
a list of control elements, passed on to nleqslv() |
ncols |
an integer, the number of columns of X |
initParam |
a v-by-p matrix of initial parameter estimates |
v |
an integer, the number of parameters per taxon |
dynamic |
a boolean, should response function be determined dynamically? See details |
envRange |
a vector of length 2, giving the range of observed environmental scores |
allowMissingness |
A boolean, are missing values present |
naId |
The numeric index of the missing values in X If dynamic is TRUE, quadratic response functions are fitted for every taxon. If the optimum falls outside of the observed range of environmental scores, a linear response function is fitted instead |
a v-by-p matrix of parameters of the response function