Tools for Ordinary Differential Equations Model Fitting
c(
person("Sang Woo", "Park", role=c("aut","cre"),
email="swp2@princeton.edu",
comment=c(ORCID="0000-0003-2202-3361")),
person("Ben","Bolker", role="aut",
comment=c(ORCID="0000-0002-2127-0443"))
)
Methods and functions for fitting ordinary differential equations (ODE) model in 'R'. Sensitivity equations are used to compute the gradients of ODE trajectories with respect to underlying parameters, which in turn allows for more stable fitting. Other fitting methods, such as MCMC (Markov chain Monte Carlo), are also available.
deSolve, Deriv, MASS, numDeriv, mvtnorm, coda, methods

Fits the Weibull equation to percent loss conductivity (plc) curves as a function of plant water potential, computes SE of parameter estimates and location of curve with bootstrap or parametric methods, and provides convenient plotting methods.

Fits Weibull or sigmoidal models to percent loss conductivity (plc) curves as a function of plant water potential, computes confidence intervals of parameter estimates and predictions with bootstrap or parametric methods, and provides convenient plotting methods.

person("Remko", "Duursma", role = c("aut", "cre"),email = "remkoduursma@gmail.com")

Classes for Fitness Landscapes and Seascapes
c(
person("Raoul", "Wadhwa", email = "raoulwadhwa@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-0503-9580")),
person("Jacob", "Scott", role = "aut",
comment = c(ORCID = "0000-0003-2971-7673")))
Convenient classes to model fitness landscapes and fitness
seascapes. A low-level package with which most users will not interact but
upon which other packages modeling fitness landscapes and fitness seascapes
will depend.

Fit Hundreds of Theoretical Distributions to Empirical Data
Systematic fit of hundreds of theoretical univariate distributions to empirical data via maximum likelihood estimation. Fits are reported and summarized by a data.frame, a csv file or a 'shiny' app (here with additional features like visual representation of fits). All output formats provide assessment of goodness-of-fit by the following methods: Kolmogorov-Smirnov test, Shapiro-Wilks test, Anderson-Darling test.
stats, utils, DT, shiny, dplyr, maxLik, R.utils, tools
actuar, ald, benchden, BiasedUrn, bridgedist, Davies,
DiscreteInverseWeibull, DiscreteLaplace, DiscreteWeibull,
emdbook, emg, EnvStats, evd, evir, ExtDist, extremefit, FAdist,
FatTailsR, fBasics, fExtremes, flexsurv, gambin, gb,
GenBinomApps, GeneralizedHyperbolic, gld, GLDEX, glogis, GSM,
hermite, HyperbolicDist, ihs, KScorrect, loglognorm, marg,
mc2d, minimax, msm, nCDunnett, NormalLaplace, normalp,
ParetoPosStable, PearsonDS, poistweedie, polyaAeppli, qmap,
QRM, ReIns, reliaR, Renext, revdbayes, RMKdiscrete, RMTstat,
sadists, skellam, SkewHyperbolic, skewt, SMR, sn, stabledist,
STAR, statmod, trapezoid, triangle, truncnorm, VarianceGamma