Man pages for jackmwolf/pcsstools
Tools for Regression Using Pre-Computed Summary Statistics
| anova.pcsslm | ANOVA for linear models fit using PCSS |
| approx_and | Approximate a linear model for a series of logical AND... |
| approx_conditional | Approximate the mean of Y conditional on X |
| approx_mult_prod | Approximate the covariance of a set of predictors and a... |
| approx_or | Approximate a linear model for a series of logical OR... |
| approx_prod_stats | Approximate summary statistics for a product of phenotypes... |
| approx_response_cov_recursive | Approximate the covariance of one response with an arbitrary... |
| calculate_lm | Calculate a linear model using PCSS |
| calculate_lm_combo | Calculate a linear model for a linear combination of... |
| check_terms | Check that independent and dependent variables are accounted... |
| extract_predictors | Extract independent variables from a formula |
| extract_response | Extract dependent variables from a formula as a string |
| get_pcor | Approximate the partial correlation of Y and Z given X |
| guess_response | Guess the function that is applied to a set of responses |
| make_permutations | List all permutations of a sequence of integers |
| model_and | Approximate a linear model for a series of logical AND... |
| model_combo | Model a linear combination of a set of phenotypes using PCSS |
| model_or | Approximate a linear model for a series of logical OR... |
| model_prcomp | Model the principal component score of a set of phenotypes... |
| model_product | Approximate a linear model for a product using PCSS |
| model_singular | Model an individual phenotype using PCSS |
| new_predictor | Create an object of class "predictor" |
| new_predictor_binary | Shortcut to create a predictor object for a binary variable |
| new_predictor_normal | Shortcut to create a predictor object for a continuous... |
| new_predictor_snp | Shortcut to create a predictor object for a SNP's minor... |
| pcsslm | Approximate a linear model using PCSS |
| pcsstools_example | Simulated example data |
| print.pcsslm | Print an object of class pcsslm |
