Package: lmf 1.2.1

Thomas Kvalnes

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

Provides methods for estimation and statistical inference on directional and fluctuating selection in age-structured populations.

Authors:Thomas Kvalnes

# Install 'lmf' in R:

install.packages('lmf', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated from:1010da4a57. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	109
source / vignettes	OK	201
linux-release-x86_64	OK	113
wasm-release	OK	78

Dependencies:

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