ggplot2, data.table, gWidgets, mc2d, plyr
Simulate the forensic DNA process: generate random or fixed DNA
profiles, create forensic samples including mixtures of diploid and haploid
cells, simulate DNA extraction, normalization, degradation, amplification
including stutters and inter-locus balance, and capillary electrophoresis.
DNA profiles are visualized as electropherograms and saved in tables.
The command pcrsim() opens up a graphical user interface which allow the user
to create projects, to enter, load, and save parameters required for the simulation.
The simulation is transparent and the parameters used in each step of the simulation
can be viewed in the result tables.

Panel-Corrected Standard Error Estimation in R
Delia Bailey <delia@caltech.edu> and Jonathan N. Katz <jkatz@caltech.edu>
This package contains a function to estimate panel-corrected standard errors. Data may contain balanced or unbalanced panels.

Delia Bailey <dbailey@wustl.edu> and Jonathan N. Katz <jkatz@caltech.edu>

Delia Bailey <delia.bailey@gmail.com> and Jonathan N. Katz
<jkatz@caltech.edu>
This package contains a function to estimate
panel-corrected standard errors. Data may contain balanced or
unbalanced panels.

A function to estimate
panel-corrected standard errors. Data may contain balanced or
unbalanced panels.

Tools for Regression Using Pre-Computed Summary Statistics
c(
person(
"Jack", "Wolf", email = "jackwolf910@gmail.com",
role = c("aut", "cre", "cph"),
comment = c(ORCID = "0000-0002-8919-8740")
),
person(
"R Core Team and contributors worldwide", role = c("cph", "aut"),
comment = "Author and copyright holder of modified 'stats' fragments"
)
)
Defines functions to describe regression models using only
pre-computed summary statistics (i.e. means, variances, and covariances)
in place of individual participant data.
Possible models include linear models for linear combinations, products,
and logical combinations of phenotypes.
Implements methods presented in
Wolf et al. (2021) <doi:10.1101/2021.03.08.433979>
Wolf et al. (2020) <doi:10.1142/9789811215636_0063> and
Gasdaska et al. (2019) <doi:10.1142/9789813279827_0036>.
Jack Wolf [aut, cre, cph] (<https://orcid.org/0000-0002-8919-8740>),
R Core Team and contributors worldwide [cph, aut] (Author and copyright
holder of modified 'stats' fragments)