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**IPMpack**: Builds and analyses Integral Projection Models (IPMs).**growthObjLogIncr-class**: Class '"growthObjLogIncr"'

# Class "growthObjLogIncr"

### Description

A class object description

### Objects from the Class

Objects can be created by calls of the form `new("growthObjLogIncr", ...)`

.

### Slots

`fit`

:Object of class

`"lm"`

~~`sd`

:Object of class

`"numeric"`

~~

### Methods

- growth
`signature(size = "numeric", sizeNext = "numeric", cov = "data.frame", growthObj = "growthObjLogIncr")`

: ...- growthCum
`signature(size = "numeric", sizeNext = "numeric", cov = "data.frame", growthObj = "growthObjLogIncr")`

: ...

### Author(s)

C. Jessica E. Metcalf, Sean M. McMahon, Roberto Salguero-Gomez, Eelke Jongejans & Cory Merow.

### Examples

1 | ```
showClass("growthObjLogIncr")
``` |

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- addPdfGrowthPic: Adds probability density functions of density function of...
- coerceGrowthObj: Function to coerce growth or survival objects, i.e., impose...
- convergeIPM: Iterates until obtaining the number of bins required so that...
- convertIncrement: Convert size increment according to time elapsed between...
- dataIPMpackCryptantha.csv: Cryptantha Perennial Dataset with Covariates
- dataIPMpackHypericumCov.csv: Hypericum Perennial Dataset with covariates
- dataIPMpackHypericum.csv: Hypericum Perennial Dataset
- dataIPMpackSilwood.csv: Silwood Monocarp Dataset
- dataIPMpackSuccisa2.csv: Succisa pratensis Dataset
- dataIPMpackSuccisa.csv: Succisa pratensis Dataset
- diagnosticsPmatrix: Creates a series of diagnostic graphs for a P matrix.
- discreteTrans-class: Class '"discreteTrans"'
- discreteTransInteger-class: Class '"discreteTransInteger"'
- elas: Estimates matrix element sensitivities and elasticities.
- envMatrix-class: Class "envMatrix"
- fecObj-class: Class "fecObj"
- fecObjInteger-class: Class "fecObjInteger"
- generateData: Generates random data in the form used by IPMpack.
- growSurv: Combines growth and survival.
- growth: Estimates growth probabilities.
- growthCum: Models growth allowing for cumulative bin estimation.
- growthCum-methods: ~~ Methods for Function 'growthCum' ~~
- growth-methods: ~~ Methods for Function 'growth' ~~
- growthModelComp: Compares growth and survival objects built from different...
- growthObj-class: Class "growthObj"
- growthObjDeclineVar-class: Class "growthObjDeclineVar"
- growthObjHossfeld-class: Class "growthObjHossfeld"
- growthObjIncr-class: Class "growthObjIncr"
- growthObjIncrDeclineVar-class: Class "growthObjIncrDeclineVar"
- growthObjLogIncr-class: Class '"growthObjLogIncr"'
- growthObjLogIncrDeclineVar-class: Class '"growthObjLogIncrDeclineVar"'
- growthObjNegBin-class: Class "growthObjNegBin"
- growthObjPois: Class "growthObjPois"
- growthObjTruncIncr-class: Class '"growthObjTruncIncr"'
- Hossfeld: Creates a Hossfeld function defining growth.
- IPMmatrix-class: Class '"IPMmatrix"'
- IPMpack-internal: Internal IPMpack objects.
- IPMpackNews: Show a text file containing package news and updates.
- IPMpack-package: Construction and analysis of integral projection models and...
- largeMatrixCalc: Calculates population growth rate (lambda) and stable stage...
- logit: Implements a logistic transform.
- makeClonalObj: Function to build clonal reproduction objects
- makeCompoundCmatrix: Builds a compound C matrix.
- makeCompoundFmatrix: Builds a compound F matrix.
- makeCompoundPmatrix: Builds a compound P matrix.
- makeDiscreteTrans: Builds matrix for transitions between discrete (e.g....
- makeDiscreteTransInteger: Builds matrix for transitions between discrete (e.g....
- makeEnvObj: Builds environmental transition objects.
- makeFecObj: Function to build fecundity objects
- makeFecObjInteger: Function to build fecundity objects
- makeGrowthObj: Function to build growth objects
- makeGrowthObjHossfeld: Function to make a Hossfeld Growth Object
- makeIntegerFmatrix: Builds P and F matrices built off regressions fitted to...
- makeIPMCmatrix: Builds C matrices.
- makeIPMFmatrix: Builds F matrices.
- makeIPMmatrix: Builds IPM matrices.
- makeIPMPmatrix: Builds P matrices.
- makeOffspringObj: Function to build offspring objects
- makeSurvObj: Functions to build survival objects
- meanLifeExpect: Calculates the mean life expectancy.
- passageTime: Defines passage time to a chosen continuous stage.
- picGrow: Makes pictures of data with growth models
- picSurv: Makes pictures of survival.
- plotGrowthModelComp: Plots compared models built with 'growthModelComp' and...
- predictFutureDistribution: Predicts continuous (e.g. size) stage distribution in the...
- R0Calc: Calculates net reproductive rate (R0) from an IPM.
- sampleIPM: Builds list of IPMs or P matrices from list growth, survival,...
- sampleIPMOutput: Gets IPM output from a list of P matrices (only survival and...
- sampleSequentialIPMs: Makes a list of IPMs where there is a discrete covariate.
- sampleVitalRateObj: Calculates growth objects reflecting distribution of...
- sensParams: Estimates sensitivity and elasticity of lambda (or R0, or...
- simulateCarlina: Generates random data in the form used by IPMpack based on...
- sizeToAge: Estimates size/stage to age relationships
- stochGrowthRateManyCov: Estimates stochastic population growth rates (lambda_s) or...
- stochGrowthRateSampleList: Estimating the stochastic population growth rate (lambda_s)...
- stochPassageTime: Estimates passage time in a discretely varying environment.
- surv: Survival
- survivorship: Estimates survivorship between two time censuses.
- surv-methods: ~~ Methods for Function surv ~~
- survObj-class: Class "survObj"
- survObjOverDisp-class: Class '"survObjOverDisp"'
- timeToSize: Projects how long it takes to get from a starting...
- varLifeExpect: Calculates variation in life expectancy in a discretely...
- varPassageTime: Estimates variation in passage time.
- wrapHossfeld: Fitting Hossfeld growth function.