Suggests: fixest, lfe, plm, clusterSEs, data.table, fabricatr,
tinytest, covr, knitr, rmarkdown, spelling, broom, modelsummary

tinytest, covr, knitr, rmarkdown, spelling, broom,

rmarkdown, spelling, broom, modelsummary, RStata

large samples. Multiway clustering, regression weights,
Additionally implements a heteroskedasticity-robust (HC1) wild
Suggests: fixest, lfe, ivreg, clubSandwich, sandwich, lmtest,
data.table, fabricatr, covr, knitr, rmarkdown, broom,
modelsummary, bench, testthat (>= 3.0.0)
SystemRequirements: Julia (>= 1.7), WildBootTests.jl (>=0.7.13)

modelsummary, bench, testthat (>= 3.0.0), tibble

Description: Simulates Fisher-Wright populations with growth.

Description: Simulates a population under the Fisher-Wright model with
a stepwise neutral mutation process. The population sizes are
random Poisson distributed and different kinds of population
growth are supported. It is possible to specify locus and
direction (in terms of upwards and downwards mutation rate)

specific mutation rate. Intermediate generations can be saved

Description: Simulates a population under the Fisher-Wright model with a stepwise neutral mutation process. The population sizes are random Poisson distributed and different kinds of population growth are supported. It is possible to specify locus and direction (in terms of upwards and downwards mutation rate) specific mutation rate. Intermediate generations can be saved in order to study e.g. drift.

Description: Simulates a population under the Fisher-Wright model with a one-step neutral mutation process (stepwise mutation model, logistic mutation model and exponential mutation model supported). The population sizes are random Poisson distributed and different kinds of population growth are supported. For the stepwise mutation model, it is possible to specify locus and direction specific mutation rate (in terms of upwards and downwards mutation rate). Intermediate generations can be saved in order to study e.g. drift.

Description: Simulates a population under the Fisher-Wright model (fixed or stochastic population size) with a one-step neutral mutation process (stepwise mutation model, logistic mutation model and exponential mutation model supported). The stochastic population sizes are random Poisson distributed and different kinds of population growth are supported. For the stepwise mutation model, it is possible to specify locus and direction specific mutation rate (in terms of upwards and downwards mutation rate). Intermediate generations can be saved in order to study e.g. drift.