gof.ds
(Package: mrds) :
Compute chi-square goodness-of-fit test for ds models
Compute chi-square goodness-of-fit test for ds models
● Data Source:
CranContrib
● Keywords:
● Alias: gof.ds
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dht
(Package: mrds) :
Density and abundance estimates and variances
Computes density and abundance estimates and variances based on Horvitz-Thompson-like estimator
● Data Source:
CranContrib
● Keywords: utility
● Alias: dht
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setinitial.ds
(Package: mrds) :
Set initial values for detection function based on distance sampling
For a given detection function, it computes the initial values for the parameters including scale and shape parameters and adjustment function parameters if any. If there are user-defined initial values only the parameters not specified by the user are computed.
● Data Source:
CranContrib
● Keywords:
● Alias: sethazard, setinitial.ds
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is.linear.logistic
(Package: mrds) :
Collection of functions for logistic detection functions
These functions are used to test whether a logistic detection function is a linear function of distance (is.linear.logistic) or is constant (varies by distance but no other covariates) is.logistic.constant). Based on these tests, the most appropriate manner for integrating the detection function with respect to distance is chosen. The integrals are needed to estimate the average detection probability for a given set of covariates.
● Data Source:
CranContrib
● Keywords: utility
● Alias: is.linear.logistic
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mrds-opt
(Package: mrds) :
Tips on optimisation issues in code{mrds
Occasionally when fitting an 'mrds' model one can run into optimisation issues. In general such problems can be quite complex so these "quick fixes" may not work. If you come up against problems that are not fixed by these tips, or you feel the results are dubious please go ahead and contact the package authors.
● Data Source:
CranContrib
● Keywords:
● Alias: mrds-opt
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adj.check.order
(Package: mrds) :
Check order of adjustment terms
'adj.check.order' checks that the Cosine, Hermite or simple polynomials are of the correct order.
● Data Source:
CranContrib
● Keywords: methods
● Alias: adj.check.order
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process.data
(Package: mrds) :
Process data for fitting distance sampling detection function
Sets up dataframe and does some basic error checking. Adds needed fields to dataframe and to meta.data.
● Data Source:
CranContrib
● Keywords: utility
● Alias: process.data
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logisticdetfct
(Package: mrds) :
Logistic detection function
Logistic detection function
● Data Source:
CranContrib
● Keywords:
● Alias: logisticdetfct
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is.logistic.constant
(Package: mrds) :
Is a logit model constant for all observations?
Determines whether the specified logit model is constant for all observations. If it is constant then only one integral needs to be computed.
● Data Source:
CranContrib
● Keywords:
● Alias: is.logistic.constant
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print.summary.rem.fi
(Package: mrds) :
Print summary of distance detection function model object
Provides a brief summary of data and fitted detection probability model parameters, model selection criterion, and optionally abundance in the covered (sampled) region and its standard error. What is printed depends on the corresponding call to summary.
● Data Source:
CranContrib
● Keywords: utility
● Alias: print.summary.rem.fi
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providing 
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