| add.fun.t | Function to Calculate t matrix for logistic outcome with binary environment interaction in additive model | 
| add.or.function | Additive Model Function | 
| additive.ll | Function to Calculate Additive Log Likelihood for a Logistic Regression Model | 
| additive.ll.linear | Function to Calculate Additive Log Likelihood for a Linear Regression Model | 
| as.numeric2 | Function to convert to numeric with scientific notation containing the "." character | 
| calc.like | Function to Calculate Log Likelihood for a Logistic Regression Model | 
| calc.like.linear | Function to Calculate Log Likelihood for a Linear Regression Model | 
| calc.like.linear.log.envir.interaction | Function to calculate the standard deviation of y given x for linear models with logistic environment interaction | 
| df2.ll | Function to Calculate 2df Log Likelihood for a Logistic Regression Model | 
| df2.ll.linear | Function to Calculate 2 Degree of Freedom Log Likelihood for a Linear Regression Model | 
| dom.fun.t | Function to Calculate t matrix for logistic outcome with binary environment interaction in dominant model | 
| dom.or.function | Dominant Model Function | 
| dominant.ll | Function to Calculate Dominant Log Likelihood for a Logistic Regression Model | 
| dominant.ll.linear | Function to Calculate Dominant Log Likelihood for a Linear Regression Model | 
| es.calc.linear | Function to Calculate Effect Size for Linear Models | 
| expected.linear.ll | Function to Calculate Expected Log Likelihood for a Single Genotype | 
| expected.linear.ll.lin.env | Function to Calculate Expected Log Likelihood for a Single Genotype with linear environment interaction | 
| 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 environment interaction | 
| 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 models with linear environment interaction | 
| linear.mles.lin.envir.interaction_reduced | Function to calculate the standard deviation of y given x for linear models with linear environment interaction for the reduced model without GxE interaction | 
| linear.mles.log.envir.interaction | Function to calculate the standard deviation of y given x for linear models with logistic environment interaction | 
| linear.outcome.lin.envir.interaction.sds | Function to calculate the standard deviation of y given x for linear models with linear environment interaction | 
| linear.outcome.lin.envir.interaction.sds_reduced | Function to calculate the standard deviation of y given x for linear models with linear environment interaction | 
| linear.outcome.log.envir.interaction.sds | Function to calculate the standard deviation of y given x for linear models with logistic environment interaction | 
| linear.sds | Functions to Calculate Residual SD for Normal/Continuous Outcomes Function to calculate the standard deviation of y given x for linear models | 
| ll.ge.logistic | Function to calculate MLE's for logistic models with logistic environment interaction | 
| ll.ge.logistic.lin.envir | Function to output log likelihood for logistic outcome with linear environment variables | 
| ll.linear.selector | Function to return log likelihood function for specified model type | 
| 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 Chi-squared distribution | 
| null.ll | Function to Calculate Null Log Likelihood for a Logistic Regression Model | 
| null.ll.linear | Function to Calculate Expected Null Log Likelihood for a Linear Regression Model | 
| odds_ratio_function | Odds Ratio Function | 
| or.function.2df | 2df Model Function | 
| or.plot | Function to Plot Odds Ratio Results | 
| or_calc | Odds ratio calculation | 
| power.calc | Function to Calculate Power | 
| power.calc.linear | Function to Calculate Power for Linear Models | 
| power.plot | Function to Plot Power Results | 
| power_envir.calc | Function to Calculate Power for Logistic Models with Environment Interaction | 
| power_envir.calc.linear_outcome | Function to Calculate Power for Linear Models with logistic environment interaction | 
| power_linear_envir.calc.linear_outcome | Function to Calculate Power for Linear Models with linear environment interaction | 
| power_linear_envir.calc.logistic_outcome | Function to Calculate Power for Linear Models with logistic environment interaction | 
| p_vec_returner | Function to output probability vector used in calculation of MLE's for linear outcome with logistic environment interaction | 
| p_vec_returner_lin_env | Function to output probability vector used in calculation of MLE's for linear outcome with linear environment interaction | 
| quad_roots | Function to Solve Quadratic Equations | 
| rec.fun.t | Function to Calculate t matrix for logistic outcome with binary environment interaction in recessive model | 
| rec.or.function | Recessive Model Function | 
| recessive.ll | Function to Calculate Recessive Log Likelihood for a Logistic Regression Model | 
| recessive.ll.linear | Function to Calculate Recessive Log Likelihood for a Linear Regression Model | 
| solve_a | Binomial coefficient calculation | 
| ss.calc | Function to Calculate Sample Size | 
| ss.calc.linear | Function to Calculate Sample Size in Linear Models | 
| ss.plot | Function to Plot Sample Size Results | 
| ss_envir.calc | Function to Calculate Power for Logistic Models with Environment Interaction | 
| ss_envir.calc.linear_outcome | Function to Calculate Power for Linear Models with logistic environment interaction | 
| ss_linear_envir.calc.linear_outcome | Function to Calculate Power for Linear Models with linear environment interaction | 
| ss_linear_envir.calc.logistic_outcome | Function to Calculate Sample Size for Linear Models with logistic environment interaction | 
| X_mat_returner | Function to output X matrices used in calculation of MLE's for linear outcome with logistic environment interaction | 
| X_mat_returner_lle | Function to output X matrices used in calculation of MLE's for linear outcome with linear environment interaction | 
| zero_finder_nleqslv | Zero finder |