Package index • deltapif

All functions

alcohol: Alcohol consumption in Australia from Pandeya et al
as.data.frame: Transform an object into a data.frame
as.list: Convert to list
as.matrix: Convert a covariance_structure to matrix
as_covariance_structure(): Transform into a covariance structure
cancer_rr: Relative risks for cancer from Pandeya et al
averted_cases() attributable_cases(): Attributable cases
change_link(): Change the link
children(): Get the children labels from a pif_class
coef: Extract coefficients of a pif object
confint: Extract confidence intervals
covariance_structure_class(): Covariance structure class
covariance_structure() covariance_structure2() default_weight_covariance_structure() default_weight_covariance_structure2() default_parameter_covariance_structure() default_parameter_covariance_structure2() default_pif_covariance_structure() default_pif_covariance_structure2() default_weight_pif_covariance_structure() default_weight_pif_covariance_structure2(): Default covariance structures
covariance() variance() standard_deviation() correlation(): Covariance matrix, correlation matrix, variance and standard deviation for potential impact fractions
dementiacov: Relative risk covariance from Lee et al
dementiarisk: Exposure and Relative Risk data from Lee et Al
deriv_pif_p() deriv_pif_beta(): Partial derivatives of PIF
flatten_names(): Names of a PIF's components
fraction_type(): Get the type of the fraction
length: Length of an object
names: Get the label of a PIF or PAF
paf() pif(): Potential Impact fraction and Population Attributable Fraction
print: Print or show a potential impact fraction
row_names() col_names(): Row and Column names
subset: Subset a covariance_structure
summary: Summary of an object
paf_total() pif_total() paf_ensemble() pif_ensemble(): Combine Potential Impact Fractions and Population Attributable Fractions
weighted_adjusted_paf() weighted_adjusted_pif(): Weighted Adjusted Fractions
weights: Extract weights of a pif_global_ensemble