A B C D E F G H I L M N O P R S T W
apc.fit | Fit an Age-Period-Cohort model to tabular data. |
apc.frame | Produce an empty frame for display of parameter-estimates from Age-Period-Cohort-models. |
apc.lines | Plot APC-estimates in an APC-frame. |
apc.plot | Plot the estimates from a fitted Age-Period-Cohort model |
Aplot | Functions to plot rates from a table classified by age and calendar time (period) |
as.Date.cal.yr | Functions to convert character, factor and various date objects into a number, and vice versa. |
as.Date.numeric | Functions to convert character, factor and various date objects into a number, and vice versa. |
bdendo | A case-control study of endometrial cancer |
bdendo11 | A 1:1 subset of the endometrial cancer case-control study |
births | Births in a London Hospital |
blcaIT | Bladder cancer mortality in Italian males |
boxarr | Draw boxes and arrows for illustration of multistate models. |
boxes | Draw boxes and arrows for illustration of multistate models. |
boxes.Lexis | Draw boxes and arrows for illustration of multistate models. |
breaks | Extract time band data from a split Lexis object |
brv | Bereavement in an elderly cohort |
cal.yr | Functions to convert character, factor and various date objects into a number, and vice versa. |
ccwc | Generate a nested case-control study |
ci.cum | Compute cumulative sum of estimates. |
ci.lin | Compute linear functions of parameters with s.e. |
ci.pd | Compute confidence limits for a difference of two independent proportions. |
contr.2nd | Contrast matrices |
contr.cum | Contrast matrices |
contr.diff | Contrast matrices |
contr.orth | Contrast matrices |
count | Special functions for use in stat.table |
countLexis | Cut follow-up at a specified date for each person. |
Cplot | Functions to plot rates from a table classified by age and calendar time (period) |
cutLexis | Cut follow-up at a specified date for each person. |
dbox | Draw boxes and arrows for illustration of multistate models. |
detrend | Projection of a model matrix on to the orthogonal complement of a trend. |
diet | Diet and heart data |
DMconv | Conversion to diabetes |
DMlate | The Danish National Diabetes Register. |
DMrand | The Danish National Diabetes Register. |
dur | Time series methods for Lexis objects |
effx | Function to calculate effects |
effx.match | Function to calculate effects for individually matched case-control studies |
entry | Time series methods for Lexis objects |
ewrates | Rates of lung and nasal cancer mortality, and total mortality. |
exit | Time series methods for Lexis objects |
expand.data | Function to expand data for regression analysis of interval censored data. |
fillarr | Draw boxes and arrows for illustration of multistate models. |
fit.add | Fit an addive excess risk model to interval censored data. |
fit.baseline | Fit a piecewise contsnt intesity model for interval censored data. |
fit.mult | Fits a multiplicative relative risk model to interval censored data. |
float | Calculate floated variances |
ftrend | Fit a floating trend to a factor in generalized linear model |
gmortDK | Population mortality rates for Denmark in 5-years age groups. |
hivDK | hivDK: seroconversion in a cohort of Danish men |
Icens | Fits a regression model to interval censored data. |
lep | An unmatched case-control study of leprosy incidence |
Lexis | Create a Lexis object |
Lexis.diagram | Plot a Lexis diagram |
Lexis.lines | Draw life lines in a Lexis diagram. |
Life.lines | Compute dates/ages for life lines in a Lexis diagram |
lines.Lexis | Lexis diagrams |
linesEst | Plot estimates with confidence limits |
lungDK | Male lung cancer incidence in Denmark |
merge.data.frame | Merge data frame with a Lexis object |
merge.Lexis | Merge a Lexis object with a data frame |
mh | Mantel-Haenszel analyses of cohort and case-control studies |
mortDK | Population mortality rates for Denmark in 1-year age-classes. |
mstate | Create a dataframe suitable for use with the mstate package. |
mstate.Lexis | Create a dataframe suitable for use with the mstate package. |
ncut | Function to group a variable in intervals. |
nice | Nice breakpoints |
nickel | A Cohort of Nickel Smelters in South Wales |
occup | A small occupational cohort |
pctab | Create percentages in a table |
percent | Special functions for use in stat.table |
plot.Lexis | Lexis diagrams |
plotEst | Plot estimates with confidence limits |
plotevent | Plot Equivalence Classes |
points.Lexis | Lexis diagrams |
pointsEst | Plot estimates with confidence limits |
Pplot | Functions to plot rates from a table classified by age and calendar time (period) |
print.floated | Calculate floated variances |
print.Icens | Fits a regression model to interval censored data. |
print.stat.table | Tables of summary statistics |
print.summary.Lexis | Summarize transitions and risk time from a Lexis object |
projection.ip | Projection of columns of a matrix. |
PY.ann | Lexis diagrams |
PY.ann.Lexis | Lexis diagrams |
rateplot | Functions to plot rates from a table classified by age and calendar time (period) |
ratio | Special functions for use in stat.table |
Relevel | Reorder and combine levels of a factor |
ROC | Function to compute and draw ROC-curves. |
S.typh | Salmonella Typhimurium outbreak 1996 in Denmark. |
splitLexis | Split follow-up time in a Lexis object |
stack.Lexis | Functions to facilitate analysis of multistate models. |
stat.table | Tables of summary statistics |
status | Time series methods for Lexis objects |
subset.Lexis | Subsetting Lexis objects |
summary.Lexis | Summarize transitions and risk time from a Lexis object |
tabplot | Graphical display of a 2-way contingency table |
tbox | Draw boxes and arrows for illustration of multistate models. |
thoro | Thorotrast Study |
timeBand | Extract time band data from a split Lexis object |
timeScales | The time scales of a Lexis object |
tmat | Functions to facilitate analysis of multistate models. |
tmat.Lexis | Functions to facilitate analysis of multistate models. |
transform.Lexis | Transform a Lexis objects |
twoby2 | Analysis of a two by two table |
W.Lexis | Split follow-up time in cohort studies. |