| ABC_on_hyperparameters | Conduct an ABC on a range of effect size distribution... |
| BL_survival | Calculate survival using the Burger and Lynch method |
| calc_distribution_stats | Calculates statistics for GWAS or prediction effect/p-value... |
| clean_phenotypes | Remove genotypes without phenotypic data. |
| compare_distributions | compare two different effect size/phenotype/etc distributions |
| dist_desc | Return discriptive statistics about effect sizes/p-values. |
| effect_size_distributions | Effect size distributions. |
| euclid.dist | Get euclidian distance |
| generate_pseudo_effects | generate psuedo effects using passed parameters, an effect... |
| gen_parms | Draw parameter values from the posteriour distribution of an... |
| gs | Simulate selection and population growth |
| gs_BL | Estimate the average population sizes of a population under... |
| gs_breeders | Simulate population demographics under selection with the... |
| hyperparameter_random_forest | Estimate hyperparameters from simulations using a random... |
| hyperparameter_regression_on_ABC | Estimate a hyperparamter from ABC results via regression. |
| logistic_growth | Calculate population size after logistic growth |
| make_bed | Make bed files from genotype/phenotype data |
| make_G | Make a G matrix |
| make_yang_G_FBM | Yang method G matrix from a SNP big matrix |
| mark_windows | Mark windows for snps. |
| names_descriptive_stats | Names of the descriptive statistics calculated from GWAS... |
| names_diff_stats | Names of the statistics calculated during distribution... |
| normal_survival | Calculate survivability probabilities using a scaled normal... |
| optimum_constant_slide | Increase the selection optimum by a given percentage of... |
| optimum_logistic_slide | Increases the selection optimum according to logistic growth. |
| pred_gwas_FBM | Run a GMMAT GWAS on genotype/phenotype data. |
| reasonable_transform | Reasonable parameter transformations |
| sample_joint_quantile | Sample hyperparameter values from hyperparameter... |
| sim_gen | Generate simulated GWAS results |
| sprinkle_missing_data | Adds missing data to a genotype dataset. |
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