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getting up to date on github
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dsjohnson committed Jun 2, 2014
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25 changes: 11 additions & 14 deletions man/aic.crw.Rd
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@@ -1,31 +1,28 @@
% Generated by roxygen2 (4.0.0): do not edit by hand
\name{aic.crw}
\alias{aic.crw}
\title{Calculates AIC for all objects of class crwFit listed as arguments}
\usage{
aic.crw(...)
}
\arguments{
\item{\dots}{a series of crwFit objects}
\item{\dots}{a series of crwFit objects}
}
\value{
A table, sorted from lowest AIC value to highest.
}
\description{
AIC, delta AIC, and Akaike weights for all models listed as
arguments.
AIC, delta AIC, and Akaike weights for all models listed as arguments.
}
\details{
The function can either be executed with a series of
'crwFit' objects (see \code{\link{crwMLE}}) without the
'.crwFit' suffix or the function can be called without any
arguments and it will search out all 'crwFit' objects in
the current workspace and produce the model selection table
for all 'crwFit' objects in the workspace. Caution should
be used when executing the function in this way. ALL
'crwFit' objects will be included whether ot not the same
locations are used! For all of the models listed as
arguments (or in the workspace), AIC, delta AIC, and Akaike
weights will be calculated.
The function can either be executed with a series of 'crwFit' objects (see
\code{\link{crwMLE}}) without the '.crwFit' suffix or the function can be
called without any arguments and it will search out all 'crwFit' objects in
the current workspace and produce the model selection table for all 'crwFit'
objects in the workspace. Caution should be used when executing the function
in this way. ALL 'crwFit' objects will be included whether ot not the same
locations are used! For all of the models listed as arguments (or in the
workspace), AIC, delta AIC, and Akaike weights will be calculated.
}
\author{
Devin S. Johnson
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11 changes: 6 additions & 5 deletions man/as.flat.Rd
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@@ -1,19 +1,20 @@
% Generated by roxygen2 (4.0.0): do not edit by hand
\name{as.flat}
\alias{as.flat}
\title{'Flattening' a list-form crwPredict object into a data.frame}
\usage{
as.flat(predObj)
}
\arguments{
\item{predObj}{A crwPredict object}
\item{predObj}{A crwPredict object}
}
\value{
a \code{\link{data.frame}} version of a crwPredict list
with columns for the state standard errors
a \code{\link{data.frame}} version of a crwPredict list with columns
for the state standard errors
}
\description{
\dQuote{Flattens} a list form \code{\link{crwPredict}}
object into a flat data.frame.
\dQuote{Flattens} a list form \code{\link{crwPredict}} object into a flat
data.frame.
}
\author{
Devin S. Johnson
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23 changes: 11 additions & 12 deletions man/crawl-package.Rd
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@@ -1,21 +1,20 @@
% Generated by roxygen2 (4.0.0): do not edit by hand
\docType{package}
\name{crawl-package}
\alias{crawl}
\alias{crawl-package}
\title{Fit Continuous-Time Correlated Random Walk models to animal movement data}
\description{
The (C)orrelated (RA)ndom (W)alk (L)ibrary (I know it is
not an R library, but, "crawp" did not sound as good) of R
functions was designed for fitting continuous-time
correlated random walk (CTCRW) models with time indexed
covariates. The model is fit using the Kalman-Filter on a
state space version of the continuous-time staochistic
movement process.
The (C)orrelated (RA)ndom (W)alk (L)ibrary (I know it is not an R library,
but, "crawp" did not sound as good) of R functions was designed for fitting
continuous-time correlated random walk (CTCRW) models with time indexed
covariates. The model is fit using the Kalman-Filter on a state space
version of the continuous-time staochistic movement process.
}
\details{
\tabular{ll}{ Package: \tab crawl\cr Type: \tab Package\cr
Version: \tab 1.5\cr Date: \tab Aug 7, 2013\cr License:
\tab Unlimited \cr LazyLoad: \tab yes\cr }
\tabular{ll}{ Package: \tab crawl\cr Type: \tab Package\cr Version: \tab
1.5\cr Date: \tab Aug 7, 2013\cr License: \tab Unlimited \cr LazyLoad: \tab
yes\cr }
}
\author{
Devin S. Johnson
Expand All @@ -24,7 +23,7 @@ Maintainer: Devin S. Johnson <devin.johnson@noaa.gov>
}
\references{
Johnson, D., J. London, M. -A. Lea, and J. Durban (2008)
Continuous-time correlated random walk model for animal
telemetry data. Ecology 89(5) 1208-1215.
Continuous-time correlated random walk model for animal telemetry data.
Ecology 89(5) 1208-1215.
}

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