Package index
-
SMASH_to_wide_table()
- Converts SMASH (SampleName, Marker, Allele, Size, Height) data to a wide table
-
allele_specific_stutter_model()
- Stutter model where the expected stutter rate depends on the allele and locus
-
drop_model()
- Defines a (semi-continuous) drop model
-
gamma_model()
- Defines a gamma model for peak height variability
-
gf_configuration()
- Stutters and size regressions for a GlobalFiler 3500 kit
-
global_stutter_model()
- Global stutter model where the expected stutter rate is constant across alleles and loci
-
kits
- Properties such as loci, dye, sizes for most standard forensic kits
-
log_normal_model()
- Defines a log normal model for peak height variability
-
read_STRmix_kit_settings()
- Read STRmix Kit Settings
-
read_allele_freqs()
- Read allele frequencies in FSIgen format (.csv)
-
read_size_regression()
- Reads a size regression file
-
read_stutter_exceptions()
- Reads a stutter exceptions file with overrides for expected stutter ratios
-
read_stutter_regression()
- Reads a stutter regression file
-
read_wide_table()
- Read wide table (.txt) with Allele1, Allele2, ... columns as is
-
sample_LSAE()
- Sample Locus Specific Amplification Efficiency (LSAE) according to prior
-
sample_contributor_genotypes()
- Sample genotypes for mixture contributors according to allele frequencies
-
sample_drop_model()
- Sample drop model(s) with parameters according to priors
-
sample_gamma_model()
- Sample gamma model(s) with parameters according to priors
-
sample_genotype()
- Sample a genotype according to allele frequencies
-
sample_log_normal_model()
- Sample log normal model(s) with parameters according to priors
-
sample_log_normal_parameters()
- Sample log normal model parameters according to priors
-
sample_log_normal_stutter_variance()
- Sample log normal stutter variance parameters according to priors
-
sample_many_pedigree_genotypes()
- Sample (many) genotypes for pedigree members according to allele frequencies by allele dropping and possibly taking linkage into account by simulating recombination.
-
sample_mixture_from_genotypes()
- Sample mixture profile with provided genotypes
-
sample_mixtures()
- Sample mixtures with random genotypes and random parameters according to priors
-
sample_mixtures_fixed_parameters()
- Sample mixtures with known genotypes and fixed parameters
-
sample_mixtures_from_genotypes()
- Sample mixtures with known genotypes and random parameters according to priors
-
sample_offspring()
- Sample offspring from two parental genotypes
-
sample_pedigree_genotypes()
- Sample genotypes for pedigree according to allele frequencies by allele dropping.
-
stutter_type()
- Defines a stutter type to be used in the allele specific stutter model.