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 1.6.0 Index]