Power Calculations Under Genetic Model Misspecification

add.fun.t | Function to Calculate t matrix for logistic outcome with... |

additive.ll | Function to Calculate Additive Log Likelihood for a Logistic... |

additive.ll.linear | Function to Calculate Additive Log Likelihood for a Linear... |

add.or.function | Additive Model Function |

as.numeric2 | Function to convert to numeric with scientific notation... |

calc.like | Function to Calculate Log Likelihood for a Logistic... |

calc.like.linear | Function to Calculate Log Likelihood for a Linear Regression... |

calc.like.linear.log.envir.interaction | Function to calculate the standard deviation of y given x for... |

df2.ll | Function to Calculate 2df Log Likelihood for a Logistic... |

df2.ll.linear | Function to Calculate 2 Degree of Freedom Log Likelihood for... |

dom.fun.t | Function to Calculate t matrix for logistic outcome with... |

dominant.ll | Function to Calculate Dominant Log Likelihood for a Logistic... |

dominant.ll.linear | Function to Calculate Dominant Log Likelihood for a Linear... |

dom.or.function | Dominant Model Function |

es.calc.linear | Function to Calculate Effect Size for Linear Models |

expected.linear.ll | Function to Calculate Expected Log Likelihood for a Single... |

expected.linear.ll.lin.env | Function to Calculate Expected Log Likelihood for a Single... |

find.prob.dom | Dominant probability finding function |

find.prob.rec | Recessive probability finding function |

genpwr.calc | Function to Calculate Power for Linear Models with logistic... |

integrand_funct_case | Function to generate integrand for mle for cases |

integrand_funct_control | Function to generate integrand for mle for controls |

linear.mles | Function to calculate MLE's for linear models |

linear.mles.lin.envir.interaction | Function to calculate the standard deviation of y given x for... |

linear.mles.lin.envir.interaction_reduced | Function to calculate the standard deviation of y given x for... |

linear.mles.log.envir.interaction | Function to calculate the standard deviation of y given x for... |

linear.outcome.lin.envir.interaction.sds | Function to calculate the standard deviation of y given x for... |

linear.outcome.lin.envir.interaction.sds_reduced | Function to calculate the standard deviation of y given x for... |

linear.outcome.log.envir.interaction.sds | Function to calculate the standard deviation of y given x for... |

linear.sds | Functions to Calculate Residual SD for Normal/Continuous... |

ll.ge.logistic | Function to calculate MLE's for logistic models with logistic... |

ll.ge.logistic.lin.envir | Function to output log likelihood for logistic outcome with... |

ll.linear.selector | Function to return log likelihood function for specified... |

ll_zero_finder2 | Zero finding function |

logistic.mles | Function to calculate MLE's for logistic models |

logit | Logit Function |

ncp.search | Function to Determine Non-Centrality Parameter of the... |

null.ll | Function to Calculate Null Log Likelihood for a Logistic... |

null.ll.linear | Function to Calculate Expected Null Log Likelihood for a... |

odds_ratio_function | Odds Ratio Function |

or_calc | Odds ratio calculation |

or.function.2df | 2df Model Function |

or.plot | Function to Plot Odds Ratio Results |

power.calc | Function to Calculate Power |

power.calc.linear | Function to Calculate Power for Linear Models |

power_envir.calc | Function to Calculate Power for Logistic Models with... |

power_envir.calc.linear_outcome | Function to Calculate Power for Linear Models with logistic... |

power_linear_envir.calc.linear_outcome | Function to Calculate Power for Linear Models with linear... |

power_linear_envir.calc.logistic_outcome | Function to Calculate Power for Linear Models with logistic... |

power.plot | Function to Plot Power Results |

p_vec_returner | Function to output probability vector used in calculation of... |

p_vec_returner_lin_env | Function to output probability vector used in calculation of... |

quad_roots | Function to Solve Quadratic Equations |

recessive.ll | Function to Calculate Recessive Log Likelihood for a Logistic... |

recessive.ll.linear | Function to Calculate Recessive Log Likelihood for a Linear... |

rec.fun.t | Function to Calculate t matrix for logistic outcome with... |

rec.or.function | Recessive Model Function |

solve_a | Binomial coefficient calculation |

ss.calc | Function to Calculate Sample Size |

ss.calc.linear | Function to Calculate Sample Size in Linear Models |

ss_envir.calc | Function to Calculate Power for Logistic Models with... |

ss_envir.calc.linear_outcome | Function to Calculate Power for Linear Models with logistic... |

ss_linear_envir.calc.linear_outcome | Function to Calculate Power for Linear Models with linear... |

ss_linear_envir.calc.logistic_outcome | Function to Calculate Sample Size for Linear Models with... |

ss.plot | Function to Plot Sample Size Results |

X_mat_returner | Function to output X matrices used in calculation of MLE's... |

X_mat_returner_lle | Function to output X matrices used in calculation of MLE's... |

zero_finder_nleqslv | Zero finder |

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