RMark3.0.0 package

R Code for Mark Analysis

MS_popan

Convert Multistate data for POPAN-style abundance estimation

process.ch

Process release-recapture history data

process.data

Process encounter history dataframe for MARK analysis

RDMultScalOcc

Multi-scale dynamic occupancy models in RMark

readMarkVcv

Reads binary file output from MARK and returns a list of the results

release.gof

Runs RELEASE for goodness of fit test

remove.mark

Remove mark models from list

rerun.mark

Runs a previous MARK model with new starting values

run.mark.model

Runs analysis with MARK model using MARK.EXE

run.models

Runs a set of MARK models

setup.model

Defines model specific parameters (internal use)

setup.parameters

Setup parameter structure specific to model (internal use)

skagit

An example of the Multistrata (multi-state) model in which states are ...

splitCH

Split/collapse capture histories

store

Store models externally or restore to workspace from external storage

strip.comments

Strip comments

summary.mark

Summary of MARK model parameters and results

summary_ch

Provides a summary for the capture histories

TransitionMatrix

Multi-state Transition Functions

valid.parameters

Determine validity of parameters for a model (internal use)

var.components

Variance components estimation

var.components.reml

Variance components estimation using REML or maximum likelihood

Whatsnew

Summary of changes by version

wwdo.popan

White-winged dove Jolly-Seber POPAN Analysis Details

MStruncate

Truncate capture histories for multi-state models

PIMS

Display PIM for a parameter

popan.derived

Computes some derived abundance estimates for POPAN models

predict_real

Compute estimates of real parameters with individual and design covari...

print.mark

Print MARK objects

print.marklist

Print MARK list objects

print.summary.mark

Prints summary of MARK model parameters and results

ABeginnersGuide

A beginners introduction and guide to RMark

add.design.data

Add design data

adjust.parameter.count

Adjust count of estimated parameters

adjust.value

Adjust over-dispersion scale or a result value such as effective sampl...

Burnham

Burnham Live-Dead Model

cleanup

Removes unused MARK output files

coef.mark

MARK model beta parameters

collect.model.names

Collect names of MARK model objects from list of R objects (internal f...

collect.models

Collect MARK models into a list and optionally construct a table of mo...

compute.design.data

Compute design data for a specific parameter in the MARK model (intern...

compute.link

Compute estimates of link values

compute.links.from.reals

Compute link values from real parameters

compute.real

Compute estimates of real parameters

convert.inp

Convert MARK input file to RMark dataframe

convert.link.to.real

Convert link values to real parameters

covariate.predictions

Compute estimates of real parameters for multiple covariate values

create.mark.mcmc

Create mcmc object for analysis with coda

create.model.list

Creates a dataframe of all combinations of parameter specifications

deltamethod.special

Compute delta method variance for sum, cumsum, prod and cumprod functi...

deriv_inverse.link

Derivatives of inverse of link function (internal use)

export.chdata

Export capture-history data to MARK .inp format

export.MARK

Export data and models for import in MARK

export.model

Export output files for appending into MARK .dbf/.fpt format

extract.indices

Various utility functions

extract.mark.output

Extract results from MARK output file (internal use)

fill.covariates

Fill covariate entries in MARK design matrix with values

find.covariates

Find covariates in MARK design matrix

get.link

Compute sets of link values for real parameters

get.real

Extract or compute sets of real parameters

import.chdata

Import capture-recapture data sets from space or tab-delimited files

inverse.link

Inverse link functions (internal use)

larksparrow

Lark Sparrow

load.model

Load external model

make.design.data

Create design dataframes for MARK model specification

make.mark.model

Create a MARK model for analysis

make.time.factor

Make time-varying dummy variables from time-varying factor variable

mark

Interface to MARK for fitting capture-recapture models

mark.wrapper.parallel

Constructs and runs in parallel a set of MARK models from a dataframe ...

mark.wrapper

Constructs and runs a set of MARK models from a dataframe of parameter...

mata.wald

Model-Averaged Tail Area Wald (MATA-Wald) confidence intervals

merge.mark

Merge mark model objects and lists of mark model objects

merge_design.covariates

Merge time (occasion) and/or group specific covariates into design dat...

model.average.list

Compute model averaged estimates of real parameters from a list struct...

model.average.marklist

Compute model averaged estimates of real parameters

model.average

Compute model averaged estimates

model.table

Create table of MARK model selection results

An interface to the software package MARK that constructs input files for MARK and extracts the output. MARK was developed by Gary White and is freely available at <http://www.phidot.org/software/mark/downloads/> but is not open source.

  • Maintainer: Jeff Laake
  • License: GPL (>= 2)
  • Last published: 2022-08-13