AIT.dist | Returns the distance between two compositional vectors using... |
AIT.more | Used to provide additional information on various model... |
AIT.obj | Used in 'solnp()' as the objective function to be minimized... |
backward.elimination | Returns diet estimates corresponding to a sample of predators... |
bal.diet.data | Sample example of balanced repeatability diet estimates data... |
bal.rep.CI | Measure of Repeatability for Diet Estimates (Balanced Case) |
bestBackwardModel | Finds the species combination with the best (lowest) IC value... |
bestForwardModel | Finds the species combination with the best# (lowest) IC... |
bestSubset | Find the pair of starting species with the best (lowest) IC... |
beta.meths.CI | Returns individual confidence intervals and simultaneous... |
beta.pval.k | Calculate p-value of a given prey type diet proportion under... |
bias.all | Calculate bias correction for confidence intervals from... |
bias.comp | Calculate bias correction for confidence intervals. |
bisect.beta.lim | Find simultaneous and individual confidence intervals for... |
CC | Fatty acid calibration coefficients. |
chisq.CA | Called by 'create.d.mat()' to compute the chi-square... |
chisq.dist | Returns the distance between two compositional vectors using... |
comp.beta.pval.k | Calculate p-value corresponding to a specified null value... |
comp.gen.pseudo.seals | Generate pseudo predators with ith predator having true diet... |
comp.p.beta | Bootstrap statistic function: in this case it is the mean... |
comp.rep | Repeatability in Diet Estimates |
comp.Tstar.beta | Generate bootstrap replicates of diet proportion estimates... |
conf.meth | Confidence Intervals for Diet Proportions |
create.d.mat | Called by 'testfordiff.ind.boot.fun()' to create a matrix of... |
cs_distance.mat | CALCULATE CS DISTANCE BETWEEN EACH TWO PREDATORS IN dataset |
CS.more | Used to provide additional information on various model... |
CS.obj | Used in 'solnp()' as the objective function to be minimized... |
data.sim.beta | Bootstrap ran.gen function: |
dummy | Roxygen commands |
evaluateCombination | Get nll and IC values for a pair of species (this is used in... |
evaluateModel | Get nll and IC values for a given model (note that the model... |
FAset | List of fatty acids used in sample prey and predator data... |
forward.selection | Returns diet estimates corresponding to a sample of predators... |
gen.pseudo.seals | Generate pseudo predators with ith predator having true diet... |
KL.dist | Returns the distance between two compositional vectors using... |
KL.more | Used to provide additional information on various model... |
KL.obj | Used in 'solnp()' as the objective function to be minimized... |
likelihoodEstimates | Get simplified MLE estimates |
mean_geometric | Returns the geometric mean of a compositional vector |
MEANmeth | Returns the multivariate mean FA signature of each prey group... |
mod.zeros.FA.sig | Modifies the zeros for a single FA signature using the... |
mod.zeros.FA.sig.mat | Modifies the zeros for a sample of FA signatures using the... |
multiplicativeReplacement | Multiplicative replacement of zeroes |
opt.beta.lim | Find simultaneous confidence intervals for diet proportions... |
p.beta | Bootstrap statistic function: in this case it is the mean... |
p.MLE | Returns simplified MLE diet estimates corresponding to a... |
p.MUFASA | Returns MUFASA diet estimates corresponding to a sample of... |
POOLVARmeth | Computes within species variance-covariance matrices on... |
p.QFASA | Returns QFASA diet estimates corresponding to a sample of... |
predatorFAs | Predator fatty acid signatures. Each predator signature is a... |
prey.cluster | Produces a dendrogram using distances between the mean FA... |
preyFAs | Prey fatty acid signatures. Each prey signature is a row with... |
prey.on.prey | Each prey fatty acid signature is systematically removed from... |
pseudo.pred | Generate a pseudo predator by sampling with replacement from... |
pseudo.pred.norm | Generate a pseudo predator parametrically from multivariate... |
pseudo.pred.rep | FUNCTION TO GENERATE ns PSEUDO SEALS WHERE ns IS THE NUMBER... |
pseudo.pred.table | FUNCTION TO GENERATE ns SEALS FOR EACH OF ny YEARS |
pseudo.seal | Generate a single pseudo predator FA signature |
p.sim.QFASA | Simultaneous estimation of diet composition and calibration... |
p.SMUFASA | Simultaneous maximum unified fatty acid signature analysis |
QFASA | QFASA: A package for Quantitative Fatty Acid Signature... |
QFASA.const.eqn | Returns 'sum(alpha)' and used in 'solnp()'. |
rho.boot.fun | RETURNS RHO AND THE BOOTSTRAP SAMPLE DETERMINED BY ind. |
rho.jack.fun | FUNCTION TO BE PASSED TO bootstrap::jackknife. |
root.beta | Find root (i.e. solve f(pio) = PVAL(pio) = alpha1 using... |
split_prey | Splits prey database into a simulation set (1/3) and a... |
testfordiff.ind.boot | Called by 'testfordiff.ind.pval()'. |
testfordiff.ind.boot.fun | Called by 'testfordiff.ind.boot()'. |
testfordiff.ind.pval | Test for a difference between two independent samples of... |
Tstar.beta | Generate bootstrap replicates of diet proportion estimates... |
two.factor.rep | Measure of (unadjusted) repeatability |
unbal.diet.data | Sample example of unbalanced repeatability diet estimates... |
unbal.rep.CI | Measure of Repeatability for Diet Estimates... |
unbal.rho.boot.fun | RETURNS RHO AND THE BOOTSTRAP SAMPLE DETERMINED BY ind. |
unbal.rho.jack.fun | FUNCTION TO BE PASSED TO bootstrap::jackknife. |
unbal.two.factor.rep | Measure of (unadjusted) repeatability with missing values |
uniroot.beta | Use uniroot() to find roots and compare with bisection... |
zeroEstimates | Reintroduce excluded species to diet estimates as forced... |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.