LR_nb {RCM} | R Documentation |
Get the value of the log-likelihood ratio of alpha
LR_nb(Alpha, X, CC, responseFun = c("linear", "quadratic", "nonparametric", "dynamic"), muMarg, psi, nleqslv.control = list(trace = FALSE), n, NB_params, NB_params_noLab, thetaMat, ncols, nonParamRespFun, envGradEst, ...)
Alpha |
a vector of length d, the environmental gradient |
X |
the n-by-p count matrix |
CC |
the n-by-d covariate matrix |
responseFun |
a character string indicating the type of response function |
muMarg |
an n-by-p offset matrix |
psi |
a scalar, an importance parameter |
nleqslv.control |
the control list for the nleqslv() function |
n |
number of samples |
NB_params |
Starting values for the NB_params |
NB_params_noLab |
Starting values for the NB_params without label |
thetaMat |
a matrix of size n-by-p with estimated dispersion parameters |
ncols |
a scalar, the number of columns of X |
nonParamRespFun |
A list, the result of the estNPresp() function |
envGradEst |
a character string, indicating how the environmental gradient should be fitted. 'LR' using the likelihood-ratio criterion, or 'ML' a full maximum likelihood solution |
... |
Further arguments passed on to other functions DON'T USE 'p' as variable name, partial matching in the grad-function in the numDeriv package |
: a scalar, the evaluation of the log-likelihood ratio at the given alpha