anova.pcsslm |
ANOVA for linear models fit using PCSS |
anova.pcsslmlist |
ANOVA for linear models fit using PCSS |
approx_and |
Approximate a linear model for a series of logical AND statements |
approx_conditional |
Approximate the mean of Y conditional on X |
approx_mult_prod |
Approximate the covariance of a set of predictors and a product of responses |
approx_or |
Approximate a linear model for a series of logical OR statements |
approx_prod_stats |
Approximate summary statistics for a product of phenotypes and a set of predictors |
approx_response_cov_recursive |
Approximate the covariance of one response with an arbitrary product of responses. |
calculate_lm |
Calculate a linear model using PCSS |
calculate_lm_combo |
Calculate a linear model for a linear combination of responses |
check_terms |
Check that independent and dependent variables are accounted for through PCSS |
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 statements using PCSS |
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 statements using PCSS |
model_prcomp |
Model the principal component score of a set of phenotypes using PCSS |
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 variable |
new_predictor_snp |
Shortcut to create a predictor object for a SNP's minor allele counts |
pcsslm |
Approximate a linear model using PCSS |
pcsstools_example |
Simulated example data |
print.pcsslm |
Print an object of class pcsslm |