Man pages for agaye/ESPRESSO.G
Power Analysis and Sample Size Calculation for a model with a main effect genetic covariate
| geno.params | Parameters to generate genetic exposures data |
| get.critical.results.G | Provides a summary of the main results |
| get.observed.data.G | Generates outcome and exposure data with some added error |
| get.obs.geno | Adds some error to genotype data |
| get.obs.pheno | Generates observed outcome data |
| glm.analysis.G | Fits a Generalized Linear Model |
| misclassify | Adds some misclassification error to binary data |
| pheno.params | Parameters for the outcome variable |
| power.calc | Calculates the empirical and theoretical power |
| run.espresso.G | Runs a full ESPRESSO analysis |
| samplsize.calc | Calculates the sample size required to achieve the desired... |
| sim.CC.data.G | Simulates case and controls |
| sim.geno.data | Generates genotypes for a genetic variant |
| sim.pheno.bin.G | Generates phenotype statuses |
| sim.pheno.qtl.G | Simulates continuous outcome data |
| sim.QTL.data.G | Simulates subjects for a continuous outcome |
| sim.subject.data | Simulates the individual effect related to heterogeneity in... |
| simulation.params | Main parameters of the simulations |
