predint 2.3.0

• Bugfix in bootstrap procedure of neg_bin_pi()
• Simultaneous PI for several treatment groups in neg_bin_pi and quasi_pois_pi (argument "adjust")
• Small change in the test suite for plot function (see issue on github)
• New citation for neg_bin_pi() and quasi_bin_pi()

predint 2.2.1

• This is the first version of predint

predint 2.2.0

v2.2.0

Increment version number to 2.2.0

predint 2.0.0

• the package is now based on s3 objects
• the calibration algorithm works now independently for both limits
  (default for discrete intervals)
• rqpois() can be used with offsets and returns a data.frame (instead of a
  vector as before)
• quasi_pois_pi() works now with offsets and based on the modified calibration algorithm
• new functions
  • summary.predint
  • plot.predint
  • as.data.frame.predint
  • print.predint

predint 1.1.1

predint 1.1.1

• Argument for the tolerance in the bisection
• Small changes in the readme
• Bugfix in beta_bin_pi
• Changed lambda_min and lambda_max to delta_min and delta_max in order
  to reflect the notation of the manuscript submitted to JSS
• Bugfix in rbbinom: rho must be bigger than 0 but smaller than 1
• Function for the sampling of bs-data based on a random effects model fit with lme4::lmer()
  as used in lmer_pi_futmat()

predint 1.1.0

This is a minor release including three new functions

• lmer_pi_unstruc()
• lmer_pi_futvec()
• lmer_pi_futmat()

lmer_pi() is now deprecated, but three new functions are introduced for the
computation of PI based on random effects models fit by lme4::lmer(). The new
functions are lmer_pi_unstruc(), lmer_pi_futvec() and lmer_pi_futmat().

lmer_pi_unstruc() is basically the same as the old lmer_pi() that do not take the structure of the future data into account

lmer_pi_futvec() and lmer_pi_futmat() are two new functions that incorporate the structure of future data into the calculation of PI.