F.nLL  R Documentation 
Return value of the negative log likelihood for a vector of observed distances given a specified likelihood, number of expansion terms, and estimated parameters.
F.nLL(
a,
dist,
covars = NULL,
like,
w.lo = 0,
w.hi = max(dist),
series,
expansions = 0,
pointSurvey,
for.optim = F
)
a 
A vector of parameter values for
the likelihood. Length of this vector must be

dist 
A vector of observed distances. All values must be between

covars 
Data frame containing values of covariates
at each observation in 
like 
String specifying the form of the likelihood.
Builtin distance functions at present are "uniform", "halfnorm",
"hazrate", "negexp", and "Gamma". To be valid, a function
named 
w.lo 
Lower or lefttruncation limit of the distances. This is the minimum possible offtransect distance. Default is 0. 
w.hi 
Upper or righttruncation limit of the distances. This is the maximum offtransect distance that could be observed. Default is the maximum observed distance. 
series 
String specifying the type of expansion to
use series if 
expansions 
A scalar specifying the number of terms
in 
pointSurvey 
Boolean. TRUE if 
for.optim 
Boolean. If TRUE, values are multiplied
by 10^9 to help 
A scalar, the negative of the log likelihood evaluated at
parameters a
, including expansion terms.
See uniform.like
and links there;
dfuncEstim
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