LR_nb {RCM}R Documentation

Get the value of the log-likelihood ratio of alpha

Description

Get the value of the log-likelihood ratio of alpha

Usage

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, ...)

Arguments

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

Value

: a scalar, the evaluation of the log-likelihood ratio at the given alpha


[Package RCM version 1.2.0 Index]