R: Functions for Estimation and Inference of Selection in Age-Structured Populations

# Functions for Estimation and Inference of Selection in Age-Structured Populations

## Documentation for package ‘lmf’ version 1.2.1

- DESCRIPTION file

## Help Pages

lmf-package | Functions for estimation and inference of selection in age-structured populations
atCfn | Calculate corrected temporal mean coefficients of selection
boot.lmf | Bootstrap resampling for class "lmf"
ci.boot.lmf | Confidence intervals for class "boot.lmf"
eigenl | Calculating lambda, u and v
fs | Estimate temporal coefficients of selection
inv | Calculate the inverse of a matrix
lm.extract | Extract linear regression components
lmf | Fitting age-structured selection model
lnL.M | Maximum likelihood function for temporal coefficients of selection
nearPD | Find nearest positive definite matrix
nfs | Estimate temporal coefficients of selection assuming no fluctuating selection
plot.boot.lmf | Plotting function for class "boot.lmf"
plot.lmf | Plot diagnostics for an lmf object
print.boot.lmf | Bootstrap resampling for class "lmf"
print.ci.boot.lmf | Confidence intervals for class "boot.lmf"
print.lmf | Fitting age-structured selection model
print.summary.boot.lmf | Summarizing bootstraps of lmf fits
print.summary.lmf | Summarizing lmf fits
procomp | The projection matrix
projection | The projection matrix
promat | The projection matrix
rmnorm | Generate random numbers from the multivariate normal distribution
se | Standard error
sparrowdata | House Sparrow data set
summary.boot.lmf | Summarizing bootstraps of lmf fits
summary.lmf | Summarizing lmf fits