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add_errors_Hd_w()
- Add Hd-errors to table for one error probability, $w$
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add_errors_Hd_wTwR()
- Add Hd-errors to table for sample-dependent error probabilities, $w_t$ and $w_r$
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add_errors_Hp_w()
- Add Hp-errors to table for one error probability, $w$
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add_errors_Hp_wTwR()
- Add Hp-errors to table for sample-dependent error probabilities, $w_t$ and $w_r$
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add_errors_to_genotypes()
- Add errors to genotypes
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allele_probs_to_geno_probs()
- Allele probabilities to genotype probabilities assuming Hardy-Weinberg equilibrium
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rbeta05() pbeta05() qbeta05() dbeta05()
- Beta distribution on (0, 0.5)
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calc_LRs_w()
- Calculate LR for a profile for one error probability, $w$
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calc_LRs_wTwR()
- Calculate LR for a profile for sample-specific error probabilities
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calc_LRs_wTwR_integrate_wT()
- Calculate LR for a profile for sample-specific error probabilities integrated over the donor prior distribution using exact integration
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calc_LRs_wTwR_integrate_wT_mc()
- Calculate LR for a profile for sample-specific error probabilities integrated over the donor prior distribution using Monte Carlo integration
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calc_LRs_wTwR_integrate_wT_num()
- Calculate LR for a profile for sample-specific error probabilities integrated over the donor prior distribution using numerical integration
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d_LR_w
- Formulas for LR grouped by $X^D$ and $X^S$ for one error probability, $w$
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d_LR_wTwR
- Formulas for LR grouped by $X^D$ and $X^S$ for sample-dependent error probabilities, $w_t$ and $w_r$
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d_formulas_Hd_w
- Enumeration of possibilities under Hd for one error probability, $w$
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d_formulas_Hd_wTwR
- Enumeration of possibilities under Hd for sample-dependent error probabilities, $w_t$ and $w_r$
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d_formulas_Hp_w
- Enumeration of possibilities under Hp for one error probability, $w$
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d_formulas_Hp_wTwR
- Enumeration of possibilities under Hp for sample-dependent error probabilities, $w_t$ and $w_r$
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d_formulas_single
- Enumeration of possibilities for single observation
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d_prob_Hd_w
- Formulas under Hd grouped by $X^D$ and $X^S$ for one error probability, $w$
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d_prob_Hd_wTwR
- Formulas under Hd grouped by $X^D$ and $X^S$ for sample-dependent error probabilities, $w_t$ and $w_r$
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d_prob_Hp_w
- Formulas under Hp grouped by $X^D$ and $X^S$ for one error probability, $w$
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d_prob_Hp_wTwR
- Formulas under Hp grouped by $X^D$ and $X^S$ for sample-dependent error probabilities, $w_t$ and $w_r$
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d_probtable_Hd_w
- Probabilties for efficient sampling under Hd for one error probability, $w$
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d_probtable_Hd_wTwR
- Probabilties for efficient sampling under Hd for one error probability, $w$
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d_probtable_Hp_w
- Probabilties for efficient sampling under Hp for one error probability, $w$
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d_probtable_Hp_wTwR
- Probabilties for efficient sampling under Hp for sample-dependent error probabilities, $w_t$ and $w_r$
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estimate_w()
- Estimate error probability, w
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estimate_w_bayesian()
- Estimate error probability, w, using a Bayesian approach
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estimate_w_se()
- Estimate standard error of error probability, w
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extract_profile()
- Extract profile from ranked markers
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extract_profile_v1()
- Extract profile
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get_beta_mu_sigma()
- Parameterisation conversion for beta distribution
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get_beta_parameters()
- Parameterisation conversion for beta distribution
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get_ns()
- Get counts from table
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graph_Hd_w
- Graph for enumeration of possibilities under Hd for one error probability, $w$
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graph_Hd_wTwR
- Graph for enumeration of possibilities under Hd for sample-dependent error probabilities, $w_t$ and $w_r$
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graph_Hp_w
- Graph for enumeration of possibilities under Hp for one error probability, $w$
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graph_Hp_wTwR
- Graph for enumeration of possibilities under Hp for sample-dependent error probabilities, $w_t$ and $w_r$
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graph_single
- Graph for enumeration of possibilities for single observation
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marker_candidates_v1
- Marker candidates (v1)
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posterior_samples()
- Extract posterior samples
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reuse_genotype_probs()
- Re-use genotype probabilities
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sample_data_Hd_w()
- Sample cases under Hd for one error probability, $w$
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sample_data_Hd_wTwR()
- Sample cases under Hd for sample-dependent error probabilities, $w_t$ and $w_r$
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sample_data_Hp_w()
- Sample cases under Hp for one error probability, $w$
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sample_data_Hp_wTwR()
- Sample cases under Hp for sample-dependent error probabilities, $w_t$ and $w_r$
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sample_profiles_without_error()
- Sample genotype without error
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to012()
- Convert to 0/1/2 notation