Man pages for marked
Mark-Recapture Analysis for Survival and Abundance Estimation

backward_probComputes backward probabilities
cjs.accumulateAccumulates common capture history values
cjs_admbFitting function for CJS models
cjs_deltaHMM Initial state distribution functions
cjs_gammaHMM Transition matrix functions
cjs.hessianCompute variance-covariance matrix for fitted CJS model
cjs.initialComputes starting values for CJS p and Phi parameters
cjs.lnlLikelihood function for Cormack-Jolly-Seber model
cjs_tmbFitting function for CJS models
coef.crmExtract coefficients
compute_matricesCompute HMM matrices
compute_realCompute estimates of real parameters
convert.link.to.realConvert link values to real parameters
create.dmCreates a design matrix for a parameter
create.dmdfCreates a dataframe with all the design data for a particular...
create.fixed.matrixCreate parameters with fixed matrix
create.linksCreates a 0/1 vector for real parameters with sin link
crmCapture-recapture model fitting function
crm.wrapperAutomation of model runs
deriv_inverse.linkDerivatives of inverse of link function (internal use)
dipperDipper capture-recapture data
dmat_hsmm2hmmCreate expanded state-dependent observation matrix for HMM...
fix.parametersFixing real parameters in crm models
function.wrapperUtility extract functions
global_decodeGlobal decoding of HMM
hmmDemoHMM computation demo functions
HMMLikelihoodHidden Markov Model likelihood functions
hsmm2hmmCompute transition matrix for HMM from HSMM
initiate_piSetup fixed values for pi in design data
inverse.linkInverse link functions (internal use)
jsFitting function for Jolly-Seber model using Schwarz-Arnason...
js.accumulateAccumulates common capture history values
js.hessianCompute variance-covariance matrix for fitted JS model
js.lnlLikelihood function for Jolly-Seber model using...
local_decodeLocal decoding of HMM
make.design.dataCreate design dataframes for crm
merge_design.covariatesMerge time (occasion) and/or group specific covariates into...
mixed.model.admbMixed effect model contstruction
mscjsFitting function for Multistate CJS models
mscjs_tmbFitting function for Multistate CJS models with TMB
msld_tmbFitting function for Multistate CJS live-dead models with TMB
mstrataMultistrata example data
mvmscjsFitting function for Multivariate Multistate CJS with...
mvmscjs_tmbTMB version: Fitting function for Multivariate Multistate CJS...
mvms_design_dataMultivariate Multistate (mvms) Design Data
mvms_dmatHMM Observation Probability matrix functions
omegaCompute 1 to k-step transition proportions
Paradise_shelduckMulstistate Live-Dead Paradise Shelduck Data
Phi.meanVarious utility parameter summary functions
predict.crmCompute estimates of real parameters
print.crmPrint model results
print.crmlistPrint model table from model list
probitCJSPerform MCMC analysis of a CJS model
process.chProcess release-recapture history data
process.dataProcess encounter history dataframe for MARK analysis
proc.formMixed effect model formula parser Parses a mixed effect model...
resight.matrixVarious utility functions
R_HMMLikelihoodHidden Markov Model Functions
sealionsMultivariate State example data
set.fixedSet fixed real parameter values in ddl
set.initialSet initial values
set_mvmsMultivariate Multistate (mvms) Specification
set_scaleScaling functions
setup_admbADMB setup
setup.modelDefines model specific parameters (internal use)
setup.parametersSetup parameter structure specific to model (internal use)
setup_tmbTMB setup
simHMMSimulates data from Hidden Markov Model
skagitAn example of the Mulstistrata (multi-state) model in which...
smsld_tmbFitting function for Multistate CJS live-dead models with TMB
splitCHSplit/collapse capture histories
taglossTag loss example
valid.parametersDetermine validity of parameters for a model (internal use)
marked documentation built on Oct. 19, 2023, 5:06 p.m.