View source: R/F_estNBparams.R
estNBparams | 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
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