Fixed the output of

`predFit()`

in situations whenever standard errors and confidence/predictions bands are both requested.New data sets

`bladder`

(a repeated measures data set) and`whisky`

.Fixed typos in documentation throughout the package.

Updated URLs throughout the package.

Better y-axis limits when x-axis is on log scale (e.g., using log = “x”). Fixes issue #27.

Better default y-axis label when using

`plotFit()`

on a model with transformed response. For example, calling`plotFit(fit)`

where`fit <- lm(sqrt(dist) ~ speed, data = cars)`

will have a default y-axis label of`"sqrt(dist)"`

.`plotFit()`

has been completely re-written using much less code.`predFit()`

(and hence`plotFit()`

) now works for`"nls"`

objects fit using the Golub-Pereyra algorithm (i.e.,`algorithm = "plinear"`

); however, confidence/prediction bands are still not available.New introductory vignette.

Multiple predictor variables are allowed for

`"lm"`

and`"glm"`

objects.All non-base package functions are now imported.

The generic function

`predFit()`

is now exported. This function is used by**investr**to obtain predictions, and hence, inverse predictions. For example,`predFit()`

can be used to obtain prediction intervals for nonlinear least-squares fits (i.e., models of class`"nls"`

).Improved tests and test coverage.

`plotFit()`

gained methods for`"rlm"`

and`"lqs"`

objects from package**MASS**.

`invest()`

now accepts objects of class`"glm"`

(experimental).Functions

`calibrate()`

and`invest()`

now return an object of class`"invest"`

.

Cleaned up documentation.

Added

`AnyNA()`

function for those using older versions of R.

Cleaned up examples.

Added

`bootstrap`

option to`invest()`

.

- Changed tests to satisfy CRAN check.

Updated citation file.

Minor code changes.

`plotFit()`

should now plot models with transformed responses correctly.Fixed error causing

`invest()`

to fail because of a missing data argument.Added more tests.

`invest()`

now accepts objects of class`"lme"`

(experimental).A few minor bug fixes and code improvements.

Added more tests.

A few minor bug fixes.

Slightly better documentation.

- Initial release.