ICSS                    Age standardisation weights from the ICSS
                        scheme.
Lexis_fpa               Create a Lexis Object with Follow-up Time,
                        Period, and Age Time Scales
RPL                     Relative Poisson family object
Surv                    Survival Objects
adjust                  Adjust Estimates by Categorical Variables
aggre                   Aggregation of split 'Lexis' data
all_names_present       Check if all names are present in given data
array_df_ratetable_utils
                        'array's, 'data.frame's and 'ratetable's
as.Date.yrs             Coerce Fractional Year Values to Date Values
as.aggre                Coercion to Class 'aggre'
cast_simple             Cast 'data.table'/'data.frame' from long format
                        to wide format
cut_bound               Change output values from cut(..., labels =
                        NULL) output
direct_standardization
                        Direct Adjusting in 'popEpi' Using Weights
fac2num                 Convert factor variable to numeric
flexible_argument       Flexible Variable Usage in 'popEpi' Functions
get.yrs                 Fractional Years
is.Date                 Test if object is a 'Date' object
is_leap_year            Detect leap years
lexpand                 Split case-level observations
lines.sirspline         lines method for sirspline-object
lines.survmean          Graphically Inspect Curves Used in Mean
                        Survival Computation
lines.survtab           'lines' method for survtab objects
lower_bound             Return lower_bound value from char string
                        (20,30]
ltable                  Tabulate Counts and Other Functions by Multiple
                        Variables into a Long-Format Table
meanpop_fi              Mean population counts in Finland year, sex,
                        and age group.
na2zero                 Convert NA's to zero in data.table
plot.rate               plot method for rate object
plot.sir                Plot method for sir-object
plot.sirspline          'plot' method for sirspline-object
plot.survmean           Graphically Inspect Curves Used in Mean
                        Survival Computation
plot.survtab            'plot' method for survtab objects
poisson.ci              Get rate and exact Poisson confidence intervals
pophaz                  Expected / Population Hazard Data Sets Usage in
                        'popEpi'
popmort                 Population mortality rates in Finland 1951 -
                        2013 in 101 age groups and by gender. This is
                        an example of a population hazard table as used
                        in 'popEpi'; for the general help page, see
                        [pophaz].
prepExpo                Prepare Exposure Data for Aggregation
print.aggre             Print an 'aggre' Object
print.rate              Print an rate object
print.survtab           Print a survtab Object
rate                    Direct-Standardised Incidence/Mortality Rates
rate_ratio              Confidence intervals for the rate ratios
relpois                 Excess hazard Poisson model
relpois_ag              Excess hazard Poisson model
robust_values           Convert values to numeric robustly
rpcurve                 Marginal piecewise parametric relative survival
                        curve
setaggre                Set 'aggre' attributes to an object by
                        modifying in place
setclass                Set the class of an object (convenience
                        function for 'setattr(obj, "class", CLASS)');
                        can add instead of replace
setcolsnull             Delete 'data.table' columns if there
sibr                    sibr - a simulated cohort of Finnish female
                        breast cancer patients
sir                     Calculate SIR or SMR
sir_exp                 Calculate SMR
sir_ratio               Confidence intervals for the ratio of two
                        SIRs/SMRs
sire                    sire - a simulated cohort of Finnish female
                        rectal cancer patients
sirspline               Estimate splines for SIR or SMR
splitLexisDT            Split case-level observations
splitMulti              Split case-level observations
stdpop101               World standard population by 1 year age groups
                        from 1 to 101. Sums to 100 000.
stdpop18                Standard populations from 2000: world, Europe
                        and Nordic.
summary.aggre           Summarize an 'aggre' Object
summary.survtab         Summarize a survtab Object
survmean                Compute Mean Survival Times Using Extrapolation
survtab                 Estimate Survival Time Functions
survtab_ag              Estimate Survival Time Functions
try2int                 Attempt coercion to integer
