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This is an R package for calculating dates and tracking medications during pregnancy and fertility treatment. It extends a private, personal package that I wrote for myself when I was pregnant. It contains functions and features that I found useful at the time, and others that I added when adapting the package for general use.
The functionality goes beyond what’s offered by online pregnancy calculators and apps, plus there are no concerns (unlike with these sites and apps) about data privacy, tracking or advertising.
pregnancy is available on CRAN:
install.packages("pregnancy")You can install the development version from R-universe:
install.packages("pregnancy", repos = "https://ellakaye.r-universe.dev")Alternatively, install the development version from GitHub with:
pak::pak("EllaKaye/pregnancy") This is a quick tour. For a more extensive guide, see the Get Started vignette.
library(pregnancy)To easily keep this document fairly up-to-date, and prevent recurring package build and CRAN failures as time goes by, I have not hard-coded any dates. Instead, I have calculated everything from the date on which this README was last built. That was on November 18, 2025, so for the purposes of reading this page, that counts as “today”.
# for purpose of README, calculate `start_date` relative to "today"
today <- Sys.Date()
start_date <- today - 192
# invisibly returns a Date object with the estimated due date
# by default, start date of last menstrual period, but other options available
# in practice, the start_date argument will be a known date, e.g. "2025-05-29"
due_date <- calculate_due_date(start_date)
#> ℹ Estimated due date: Saturday, February 14, 2026
#> ℹ Estimated birth period begins: January 24, 2026 (37 weeks)
#> ℹ Estimated birth period ends: February 28, 2026 (42 weeks)# set the pregnancy.due_date option
# avoids having to pass the due date as argument to other functions
set_due_date(due_date)
#> ✔ Due date set as February 14, 2026
#> ℹ Functions in the pregnancy package will now use this `due_date` option.
#> ℹ So, for this R session, you do not need to supply a value to the `due_date`
#> argument (unless you wish to override the option).
#> ℹ To make this `due_date` option available in all R sessions, in your
#> ".Rprofile", set `options(pregnancy.due_date = ...)`
#> where ... is the value of `due_date`.
#> ℹ You can edit your ".Rprofile" by calling `usethis::edit_r_profile()`
#> ℹ You can retrieve the `due_date` option with `get_due_date()`,
#> or with `getOption('pregnancy.due_date')`.# don't need to specify `due_date` since option is set
# invisibly returns number of days into the pregnancy
how_far()
#> ℹ You are 27 weeks and 3 days pregnant.
#> ℹ That's 12 weeks and 4 days until the due date (February 14, 2026).
#> ℹ You are 69% through the pregnancy.# alternative `on_date`, addressed as "I"
# usually `on_date` will be a fixed date, but given here relative to "today"
how_far(on_date = today + 1, person = 1)
#> ℹ On November 19, 2025, I will be 27 weeks and 4 days pregnant.# when a given week of the pregnancy is reached
# invisibly returns the Date when that week is reached
date_when(33)
#> ℹ On December 27, 2025, you will be 33 weeks pregnant.
#> ℹ That's 5 weeks and 4 days away.# a simplified medication schedule
meds <- pregnancy:::update_meds_table(pregnancy::medications_simple)
meds
#> # A tibble: 4 × 5
#> medication format quantity start_date stop_date
#> <chr> <chr> <dbl> <date> <date>
#> 1 progynova tablet 3 2025-11-04 2025-11-14
#> 2 progynova tablet 6 2025-11-15 2025-11-25
#> 3 cyclogest pessary 2 2025-11-17 2025-11-25
#> 4 clexane injection 1 2025-11-22 2026-01-19# how much of each medication is left to take, as of "today"
medications_remaining(meds)
#> # A tibble: 3 × 2
#> medication quantity
#> <chr> <int>
#> 1 clexane 59
#> 2 cyclogest 16
#> 3 progynova 48# how much medication for a given week
# (useful if you need to request a prescription to cover a certain time period)
medications_remaining(meds, on_date = today + 3, until_date = today + 10)
#> # A tibble: 3 × 2
#> medication quantity
#> <chr> <int>
#> 1 clexane 7
#> 2 cyclogest 10
#> 3 progynova 30how_far() and date_when() both need to know
the pregnancy due date, and this can be passed directly to the
due_date argument. It would be very tedious, however, to
have to enter a due date every time you call these functions over the
course of a pregnancy, especially since that date is constant
throughout. The same holds for the for medications table required for
medications_remaining().
To avoid this, the pregnancy package makes use of global
options, which can be set with the set_* family of
functions (set_due_date(), set_person(),
set_medications()), and retrieved with the corresponding
get_* family of functions (get_due_date(),
get_person(), get_medications()). These
options will persist for the duration of the current R session.
Any global option can be unset by calling its set_*
function with the argument NULL.
# a different due date from the earlier example
new_due_date <- today + 180
set_due_date(new_due_date)
#> ✔ Due date set as May 17, 2026
#> ℹ Functions in the pregnancy package will now use this `due_date` option.
#> ℹ So, for this R session, you do not need to supply a value to the `due_date`
#> argument (unless you wish to override the option).
#> ℹ To make this `due_date` option available in all R sessions, in your
#> ".Rprofile", set `options(pregnancy.due_date = ...)`
#> where ... is the value of `due_date`.
#> ℹ You can edit your ".Rprofile" by calling `usethis::edit_r_profile()`
#> ℹ You can retrieve the `due_date` option with `get_due_date()`,
#> or with `getOption('pregnancy.due_date')`.how_far()
#> ℹ You are 14 weeks and 2 days pregnant.
#> ℹ That's 25 weeks and 5 days until the due date (May 17, 2026).
#> ℹ You are 36% through the pregnancy.# check and then unset option
get_due_date()
#> ℹ Your due date is set as May 17, 2026.
set_due_date(NULL)
#> ✔ pregnancy.due_date option set to NULL.
#> ℹ You will need to explicitly pass a value to the `due_date` argument
#> in functions that use it, or reset the option with `set_due_date()`..RprofileWe recommend adding your options to your .Rprofile so
they persist across R sessions. R will read in these options at the
start of each session, and you will not need to use the
set_* family of functions, nor pass them as arguments to
the package functions. The get_* family of functions will
still retrieve the options set in .Rprofile.
Here’s an example of what that might look like:
options(
pregnancy.due_date = "2025-09-16",
pregnancy.person = "I", # addressed in first person
pregnancy.medications = tibble::tribble(
~medication, ~format, ~quantity, ~start_date, ~stop_date,
"progynova", "tablet", 3, "2025-08-21", "2025-08-31",
"progynova", "tablet", 6, "2025-09-01", "2025-09-11",
"cyclogest", "pessary", 2, "2025-09-03", "2025-09-11",
"clexane", "injection", 1, "2025-09-08", "2025-11-05"
)
)Note that it is best to avoid creating R objects in your
.Rprofile, e.g. a medications data frame
outside of the call to options(), otherwise that object
will be loaded into your global environment at the start of every R
session.
See package website at https://ellakaye.github.io/pregnancy/ and also in the
installed package: help(package = "pregnancy").
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.