Feature comparison

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erex edited this page Mar 16, 2016 · 4 revisions

There are several packages available for analysis of distance sampling data:

  • Distance - this package! An easy interface to mrds.
  • mrds - the package incorporated into the Windows application Distance (since it supports many features, the syntax can be rather tricky for beginners).
  • unmarked - uses the hierarchical modelling approach of Royle et al (2004).
  • Rdistance - can be used to perform CDS analyses.

This table provides a feature comparison of the packages:

FeatureDistanceRdistanceunmarkedmrds
line transectsxxxx
point transectsxxx
interval (binned) dataxxx
continuous dataxxx
half-normal keyxxxx
hazard-rate keyxxxx
uniform keyxxxx
gamma keyxx
negative exponential keyx
adjustment termsxxx
AIC adjustment selectionxx
all possible model selectionx
individual level covariatesxx
transect level covariatesxxx
monotonicity constraintsxx
objects in clusters (group data)xxxx
left truncationxxx
abundance estimationxxxx
density estimationxxxx
user-defined likelihood functionsx
dsm compatabilityxx
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Feature comparison
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erex edited this page Mar 16, 2016
·
4 revisions
There are several packages available for analysis of distance sampling data:
  • Distance - this package! An easy interface to mrds.
  • mrds - the package incorporated into the Windows application Distance (since it supports many features, the syntax can be rather tricky for beginners).
  • unmarked - uses the hierarchical modelling approach of Royle et al (2004).
  • Rdistance - can be used to perform CDS analyses.
This table provides a feature comparison of the packages:
FeatureDistanceRdistanceunmarkedmrds
line transectsxxxx
point transectsxxx
interval (binned) dataxxx
continuous dataxxx
half-normal keyxxxx
hazard-rate keyxxxx
uniform keyxxxx
gamma keyxx
negative exponential keyx
adjustment termsxxx
AIC adjustment selectionxx
all possible model selectionx
individual level covariatesxx
transect level covariatesxxx
monotonicity constraintsxx
objects in clusters (group data)xxxx
left truncationxxx
abundance estimationxxxx
density estimationxxxx
user-defined likelihood functionsx
dsm compatabilityxx
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 Add a custom sidebar

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erex edited this page Mar 16, 2016
·
4 revisions
There are several packages available for analysis of distance sampling data:
  • Distance - this package! An easy interface to mrds.
  • mrds - the package incorporated into the Windows application Distance (since it supports many features, the syntax can be rather tricky for beginners).
  • unmarked - uses the hierarchical modelling approach of Royle et al (2004).
  • Rdistance - can be used to perform CDS analyses.
This table provides a feature comparison of the packages:
FeatureDistanceRdistanceunmarkedmrds
line transectsxxxx
point transectsxxx
interval (binned) dataxxx
continuous dataxxx
half-normal keyxxxx
hazard-rate keyxxxx
uniform keyxxxx
gamma keyxx
negative exponential keyx
adjustment termsxxx
AIC adjustment selectionxx
all possible model selectionx
individual level covariatesxx
transect level covariatesxxx
monotonicity constraintsxx
objects in clusters (group data)xxxx
left truncationxxx
abundance estimationxxxx
density estimationxxxx
user-defined likelihood functionsx
dsm compatabilityxx
 Add a custom footer

 Add a custom sidebar

Clone this wiki locally

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erex edited this page Mar 16, 2016
·
4 revisions
There are several packages available for analysis of distance sampling data:
  • Distance - this package! An easy interface to mrds.
  • mrds - the package incorporated into the Windows application Distance (since it supports many features, the syntax can be rather tricky for beginners).
  • unmarked - uses the hierarchical modelling approach of Royle et al (2004).
  • Rdistance - can be used to perform CDS analyses.
This table provides a feature comparison of the packages:
FeatureDistanceRdistanceunmarkedmrds
line transectsxxxx
point transectsxxx
interval (binned) dataxxx
continuous dataxxx
half-normal keyxxxx
hazard-rate keyxxxx
uniform keyxxxx
gamma keyxx
negative exponential keyx
adjustment termsxxx
AIC adjustment selectionxx
all possible model selectionx
individual level covariatesxx
transect level covariatesxxx
monotonicity constraintsxx
objects in clusters (group data)xxxx
left truncationxxx
abundance estimationxxxx
density estimationxxxx
user-defined likelihood functionsx
dsm compatabilityxx
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 Add a custom sidebar

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erex edited this page Mar 16, 2016
·
4 revisions
There are several packages available for analysis of distance sampling data:
  • Distance - this package! An easy interface to mrds.
  • mrds - the package incorporated into the Windows application Distance (since it supports many features, the syntax can be rather tricky for beginners).
  • unmarked - uses the hierarchical modelling approach of Royle et al (2004).
  • Rdistance - can be used to perform CDS analyses.
This table provides a feature comparison of the packages:
FeatureDistanceRdistanceunmarkedmrds
line transectsxxxx
point transectsxxx
interval (binned) dataxxx
continuous dataxxx
half-normal keyxxxx
hazard-rate keyxxxx
uniform keyxxxx
gamma keyxx
negative exponential keyx
adjustment termsxxx
AIC adjustment selectionxx
all possible model selectionx
individual level covariatesxx
transect level covariatesxxx
monotonicity constraintsxx
objects in clusters (group data)xxxx
left truncationxxx
abundance estimationxxxx
density estimationxxxx
user-defined likelihood functionsx
dsm compatabilityxx
 Add a custom footer

 Add a custom sidebar

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erex edited this page Mar 16, 2016
·
4 revisions
There are several packages available for analysis of distance sampling data:
  • Distance - this package! An easy interface to mrds.
  • mrds - the package incorporated into the Windows application Distance (since it supports many features, the syntax can be rather tricky for beginners).
  • unmarked - uses the hierarchical modelling approach of Royle et al (2004).
  • Rdistance - can be used to perform CDS analyses.
This table provides a feature comparison of the packages:
FeatureDistanceRdistanceunmarkedmrds
line transectsxxxx
point transectsxxx
interval (binned) dataxxx
continuous dataxxx
half-normal keyxxxx
hazard-rate keyxxxx
uniform keyxxxx
gamma keyxx
negative exponential keyx
adjustment termsxxx
AIC adjustment selectionxx
all possible model selectionx
individual level covariatesxx
transect level covariatesxxx
monotonicity constraintsxx
objects in clusters (group data)xxxx
left truncationxxx
abundance estimationxxxx
density estimationxxxx
user-defined likelihood functionsx
dsm compatabilityxx
 Add a custom footer

 Add a custom sidebar

Clone this wiki locally

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erex edited this page Mar 16, 2016
·
4 revisions
There are several packages available for analysis of distance sampling data:
  • Distance - this package! An easy interface to mrds.
  • mrds - the package incorporated into the Windows application Distance (since it supports many features, the syntax can be rather tricky for beginners).
  • unmarked - uses the hierarchical modelling approach of Royle et al (2004).
  • Rdistance - can be used to perform CDS analyses.
This table provides a feature comparison of the packages:
FeatureDistanceRdistanceunmarkedmrds
line transectsxxxx
point transectsxxx
interval (binned) dataxxx
continuous dataxxx
half-normal keyxxxx
hazard-rate keyxxxx
uniform keyxxxx
gamma keyxx
negative exponential keyx
adjustment termsxxx
AIC adjustment selectionxx
all possible model selectionx
individual level covariatesxx
transect level covariatesxxx
monotonicity constraintsxx
objects in clusters (group data)xxxx
left truncationxxx
abundance estimationxxxx
density estimationxxxx
user-defined likelihood functionsx
dsm compatabilityxx
 Add a custom footer

 Add a custom sidebar

Clone this wiki locally

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erex edited this page Mar 16, 2016
·
4 revisions
There are several packages available for analysis of distance sampling data:
  • Distance - this package! An easy interface to mrds.
  • mrds - the package incorporated into the Windows application Distance (since it supports many features, the syntax can be rather tricky for beginners).
  • unmarked - uses the hierarchical modelling approach of Royle et al (2004).
  • Rdistance - can be used to perform CDS analyses.
This table provides a feature comparison of the packages:
FeatureDistanceRdistanceunmarkedmrds
line transectsxxxx
point transectsxxx
interval (binned) dataxxx
continuous dataxxx
half-normal keyxxxx
hazard-rate keyxxxx
uniform keyxxxx
gamma keyxx
negative exponential keyx
adjustment termsxxx
AIC adjustment selectionxx
all possible model selectionx
individual level covariatesxx
transect level covariatesxxx
monotonicity constraintsxx
objects in clusters (group data)xxxx
left truncationxxx
abundance estimationxxxx
density estimationxxxx
user-defined likelihood functionsx
dsm compatabilityxx
 Add a custom footer

 Add a custom sidebar

Clone this wiki locally